Hostname: page-component-76fb5796d-wq484 Total loading time: 0 Render date: 2024-04-27T20:47:59.470Z Has data issue: false hasContentIssue false

Biocultural aspects of species extinctions

Published online by Cambridge University Press:  16 August 2023

Richard J. Ladle*
Affiliation:
CIBIO-InBIO, Research Centre in Biodiversity and Genetic Resources, University of Porto, Vairão, Portugal BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Vairão, Portugal Institute of Biological and Health Sciences, Federal University of Alagoas, Maceió, Brazil
Fernanda Alves-Martins
Affiliation:
CIBIO-InBIO, Research Centre in Biodiversity and Genetic Resources, University of Porto, Vairão, Portugal BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Vairão, Portugal
Ana C.M. Malhado
Affiliation:
CIBIO-InBIO, Research Centre in Biodiversity and Genetic Resources, University of Porto, Vairão, Portugal BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Vairão, Portugal Institute of Biological and Health Sciences, Federal University of Alagoas, Maceió, Brazil
Victoria Reyes-García
Affiliation:
Institució Catalana de Recerca i Estudis Avançats, Barcelona, Spain Institut de Ciència i Tecnologia Ambientals, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Spain Departament d’Antropologia Social i Cultural, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Spain
Franck Courchamp
Affiliation:
Ecologie Systématique Evolution, Université Paris-Saclay, CNRS, AgroParisTech, Gif-sur-Yvette, France
Enrico Di Minin
Affiliation:
Helsinki Lab of Interdisciplinary Conservation Science, Department of Geosciences and Geography, University of Helsinki, Helsinki, Finland Helsinki Institute of Sustainability Science (HELSUS), University of Helsinki, Helsinki, Finland School of Life Sciences, University of KwaZulu-Natal, Durban, South Africa
Uri Roll
Affiliation:
Mitrani Department of Desert Ecology, The Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, MidreshetBen-Gurion, Israel
Ivan Jarić
Affiliation:
Ecologie Systématique Evolution, Université Paris-Saclay, CNRS, AgroParisTech, Gif-sur-Yvette, France Biology Centre of the Czech Academy of Sciences, Institute of Hydrobiology, České Budějovice, Czech Republic
Ricardo A. Correia
Affiliation:
Helsinki Lab of Interdisciplinary Conservation Science, Department of Geosciences and Geography, University of Helsinki, Helsinki, Finland Helsinki Institute of Sustainability Science (HELSUS), University of Helsinki, Helsinki, Finland Biodiversity Unit, University of Turku, Turku, Finland
*
Corresponding author: Richard J. Ladle; Email: richardjamesladle@gmail.com
Rights & Permissions [Opens in a new window]

Abstract

Predicting whether a species is likely to go extinct (or not) is one of the fundamental objectives of conservation biology, and extinction risk classifications have become an essential tool for conservation policy, planning and research. This sort of prediction is feasible because the extinction processes follow a familiar pattern of population decline, range collapse and fragmentation, and, finally, extirpation of sub-populations through a combination of genetic, demographic and environmental stochasticity. Though less well understood and rarely quantified, the way in which science and society respond to population decline, extirpation and species extinction can also have a profound influence, either negative or positive, on whether a species goes extinct. For example, species that are highly sought after by collectors and hobbyists can become more desirable and valuable as they become rarer, leading to increased demand and greater incentives for illegal trade – known as the anthropogenic Allee effect. Conversely, species that are strongly linked to cultural identity are more likely to benefit from sustainable management, high public support for conservation actions and fund-raising, and, by extension, may be partially safeguarded from extinction. More generally, human responses to impending extinctions are extremely complex, are highly dependent on cultural and socioeconomic context, and have typically been far less studied than the ecological and genetic aspects of extinction. Here, we identify and discuss biocultural aspects of extinction and outline how recent advances in our ability to measure and monitor cultural trends with big data are, despite their intrinsic limitations and biases, providing new opportunities for incorporating biocultural factors into extinction risk assessment.

Type
Review
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press

Impact statement

Human responses to impending extinctions are complex, are highly dependent on cultural and socioeconomic context, and have typically been far less studied than the ecological and genetic aspects of extinction. Specifically, the way in which science and societies respond to population decline, extirpation and species extinction can also have a profound influence, either positively or negatively, on whether a species goes extinct. For example, while some rare species suffer higher extinction risk the rarer they become, some charismatic species benefit from significantly higher conservation efforts and elevated levels of scientific research. A more comprehensive and nuanced understanding of which species will go extinct, and which will be “rescued” by conservation and stewardship efforts, requires an explicit interdisciplinary, biocultural approach to extinction that draws on expertise from the natural and social sciences, and dialog with holders of different knowledge systems and, in particular, with Indigenous Peoples and local communities. Ultimately, many currently threatened species will only go extinct if society allows it to occur, through a lack of motivation, knowledge, resources, or local conservation capacity.

Introduction

Extinction is typically viewed as a logical end point of the process of population decline – the point on the graph where the population size curve meets the x-axis and terminates abruptly and finally (Ladle and Jepson, Reference Ladle and Jepson2008). Accordingly, the International Union for the Conservation of Nature (IUCN) defines a species as extinct if there is no reasonable doubt that the last individual has died (Hughes et al., Reference Hughes, Qiao and Orr2021). Reasonable doubt in this context is the lack of evidence in the face of exhaustive surveys or extrapolation from historical observations (Solow, Reference Solow2005). The intrinsic uncertainty about extinction led E. O. Wilson to characterize it as “the most obscure and local of all biological processes” (Wilson, Reference Wilson1992, p. 255). If scientists were to restrict their analysis to only well-documented extinctions, there would be a huge risk of underestimating current extinctions (Pimm et al., Reference Pimm, Jenkins, Abell, Brooks, Gittleman and Joppa2014). Thus, extinctions are often extrapolated onto unknown species, whose existence is inferred from species discovery curves, from biodiversity ratios, or from species–area relationships (Bebber et al., Reference Bebber, Marriott, Gaston, Harris and Scotland2007; Chisholm et al., Reference Chisholm, Giam, Sadanandan, Fung and Rheindt2016; Kunin et al., Reference Kunin, Harte, He, Hui, Jobe and Ostling2018; García‐Robledo et al., Reference García‐Robledo, Kuprewicz, Baer, Clifton, Hernández and Wagner2020).

Early conceptualizations of the extinction process strongly emphasized the role of population decline and the effects of small population size on population viability (Caughley, Reference Caughley1994). The former process is the result of deterministic factors such as habitat loss, degradation and overexploitation, ultimately leading to small fragmented populations that are highly susceptible to stochastic factors (Lande, Reference Lande1998). Accordingly, extinction risk assessment schemes such as the IUCN Red List emphasize the rate of population decline, distributional range, and the size and fragmentation of extant populations as important factors that influence long-term prospects of a species’ survival (https://www.iucnredlist.org/assessment/process). Likewise, these important insights led directly to the development of the concept of minimum viable populations and sophisticated tools for performing population viability analysis (Ladle, Reference Ladle2009; Traill et al., Reference Traill, Brook, Frankham and Bradshaw2010; Flather et al., Reference Flather, Hayward, Beissinger and Stephens2011).

In summary, extinction is typically understood to mean the death of the last individual of a species and is a consequence of the process of population decline and the negative consequences of small population size. However, contemporary extinction is almost never a purely biological process (Ladle and Jepson, Reference Ladle and Jepson2008). Rather, contemporary extinction is almost always a consequence of the interaction of cultural and biological phenomena, that is a biocultural process. Indeed, cultural practices now influence almost every aspect of the extinction process – how we perceive it, measure it and act upon it – and, critically, whether a threatened species actually goes extinct (or stays extinct), echoing calls for the adoption of biocultural approaches to conservation (Garibaldi and Turner, Reference Garibaldi and Turner2004; Gavin et al., Reference Gavin, McCarter, Mead, Berkes, Stepp and Peterson2015; Bridgewater and Rotherham, Reference Bridgewater and Rotherham2019). We contend that there is a need for a broader conceptualization and exploration of species extinctions as a biocultural process. Here, we outline some of the key biocultural aspects of extinction, including taxonomic change, human impacts on population decline, and how the behavior of the global conservation movement plays a key role in contemporary extinction dynamics.

Taxonomy and extinction

Although extinction is sometimes used to describe the extirpation of populations, geographic variants or subspecies (often called “local extinction”), the term is more commonly applied to the loss of all populations of an officially recognized species (Ladle and Jepson, Reference Ladle and Jepson2008). Extinction statistics are therefore highly sensitive to changes in taxonomic practice, especially changes in normative use of species concepts and species delimitation criteria (Zachos, Reference Zachos2016). Such changes have become increasingly prevalent, partly as a consequence of advances in molecular taxonomy, leading to significant recent increases (and sometimes decreases) in the number of recognized species in many taxa (Garnett and Christidis, Reference Garnett and Christidis2017). Every taxonomic decision to “split” a species into two or more species or to “lump” two or more species into a single species necessarily has consequences for the extinction risk of each newly defined species (Mace, Reference Mace2004). Splitting means that each newly recognized species will have a smaller population size and/or geographic range, potentially increasing the threat level. Such increasing threat may potentially be compensated by the increased conservation attention afforded to a fully recognized species rather than a subspecies or regional variant. It could also reduce the average societal attention given to each newly designated species (Ladle et al., Reference Ladle, Jepson, Correia and Malhado2019). Moreover, estimates of the numbers of unknown species (sometimes referred to as the Linnean Shortfall; Hortal et al., Reference Hortal, De Bello, Diniz-Filho, Lewinsohn, Lobo and Ladle2015) are highly sensitive to the number of documented species, with knock-on effects for estimates of global extinction rates (Stropp et al., Reference Stropp, Ladle, Emilio, Lessa and Hortal2022).

Cultural push-factors

The first scientists to study extinction at the end of the nineteenth century had enormous difficulties attributing the decline and eventual loss of a species to human actions (Ladle and Jepson, Reference Ladle and Jepson2008). For example, despite clear evidence of overhunting (Bengtson, Reference Bengtson1984), James Orton described his confusion about the causes of the extinction of the Great Auk (Pinguinus impennis) as follows: “The upheaval or subsidence of strata, the encroachments of other animals, and climatal revolutions—by which of these great causes of extinction now slowly but incessantly at work in the organic world, the Great Auk departed this life, we cannot say” (Orton, Reference Orton1869, p. 540). This reluctance to attribute human causes to species extinction continued well into the twentieth century (Ladle and Jepson, Reference Ladle and Jepson2011). In contrast, modern current conceptualizations of the factors driving population declines foreground the indirect and direct role of human actions and how they are shaped by socio-cultural practices and beliefs (Lande, Reference Lande1998; Díaz et al., Reference Díaz, Settele, Brondízio, Ngo, Agard and Arneth2019).

Although extinction can occur in the absence of human influence (De Vos et al., Reference De Vos, Joppa, Gittleman, Stephens and Pimm2015), the vast majority of contemporary extinctions are ultimately or proximately connected to human action (Ceballos et al., Reference Ceballos, Ehrlich, Barnosky, García, Pringle and Palmer2015; Díaz et al., Reference Díaz, Settele, Brondízio, Ngo, Agard and Arneth2019, Reference Díaz, Demissew, Carabias and Joly2015), and are underpinned by societal values and behaviors. Ultimate causes include human population growth (McKee et al., Reference McKee, Sciulli, Fooce and Waite2004), the seemingly universal desire to accumulate surplus capital (McBrien, Reference McBrien and Moore2016), the political need for economic growth (Spash and Smith, Reference Spash and Smith2019) and the grinding hardship of rural poverty that forces individuals into a reliance on natural resource exploitation (Adams et al., Reference Adams, Aveling, Brockington, Dickson, Elliott and Hutton2004). These factors, in turn, drive the proximate causes of population decline, the most significant of which are habitat loss, fragmentation and transformation (Maxwell et al., Reference Maxwell, Fuller, Brooks and Watson2016; Powers and Jetz, Reference Powers and Jetz2019), climate change (Thomas et al., Reference Thomas, Cameron, Green, Bakkenes, Beaumont and Collingham2004; Cahill et al., Reference Cahill, Aiello-Lammens, Fisher-Reid, Hua, Karanewsky and Yeong Ryu2013), biological invasions (Clavero and García-Berthou, Reference Clavero and García-Berthou2005) and overexploitation (Bennett et al., Reference Bennett, Milner-Gulland, Bakarr, Eves, Robinson and Wilkie2002; Maxwell et al., Reference Maxwell, Fuller, Brooks and Watson2016).

While habitat loss, climate change and biological invasions can be considered as by-products of other human activities such as agriculture, trade, transport and recreation, population decline due to overexploitation of species is a direct consequence of human cultural practices and values. This is clearly illustrated by the anthropogenic Allee effect, the idea that human predisposition to place an exaggerated economic value on rarity drives the disproportionate exploitation of rare species, causing them to become rarer and therefore even more desirable (Courchamp et al., Reference Courchamp, Angulo, Rivalan, Hall, Signoret and Bull2006; Palazy et al., Reference Palazy, Bonenfant, Gaillard and Courchamp2012a; Tournant et al., Reference Tournant, Joseph, Goka and Courchamp2012). Even when a species becomes so rare that it cannot, alone, support livelihoods, opportunistic exploitation, while targeting more common species, will ensure that population decline continues (Branch et al., Reference Branch, Lobo and Purcell2013). For example, Chinese bahaba (Bahaba taipingensis) is a highly sought-after fish for use in traditional Chinese medicine, but fishers seeking this species must make their living off other species because only a few are caught each year (Sadovy and Cheung, Reference Sadovy and Cheung2003). The anthropogenic Allee effect, an explicitly biocultural model of extinction risk, is particularly applicable to “collectable” exotic species (Siriwat et al., Reference Siriwat, Nekaris and Nijman2019) or their products, as in the example of traditional Chinese medicine highlighted above (but see Mateo-Martín et al., Reference Mateo-Martín, Benítez, García, Gras, Molina and Reyes-García2023). More generally, it illustrates the complex ways in which cultural practices and beliefs can become entangled in the process of population decline and extinction. In this case, human perceptions of rarity and economic dynamics interact with the population trends of the exploited species to create an “extinction vortex” (Courchamp et al., Reference Courchamp, Angulo, Rivalan, Hall, Signoret and Bull2006).

The ultimate and proximate drivers of population declines of species are typically considered to be insufficient to cause the actual extinction of a species (Lande, Reference Lande1998). Instead, populations become so small and fragmented that they become subject to a range of stochastic processes (genetic drift, demographic and environmental stochasticity, natural catastrophes) that ultimately lead to the death of the last individual (extinction) (Lande, Reference Lande1998). As described above, in a few cases the increasing rarity value of these last individuals vastly inflates their economic value and therefore incentivizes their capture or elimination (Courchamp et al., Reference Courchamp, Angulo, Rivalan, Hall, Signoret and Bull2006; Hall et al., Reference Hall, Milner‐Gulland and Courchamp2008). In species without economic value and without sufficient human intervention (see below), remnant populations eventually succumb to one of the many risk factors associated with small populations, as highlighted by individual animals that become famous for being the “last” of their species (Nicholls, Reference Nicholls2012; Jarić et al., Reference Jarić, Normande, Arbieu, Courchamp, Crowley and Jeschke2023).

Cultural push-back factors

While cultural “push-factors” for extinction are generally well known and quantified, far less attention has been given to the role of humans in delaying or preventing extinction (“push-back” factors). Since the emergence of the global conservation movement in the late nineteenth century (Soulé, Reference Soulé1985), conservationists have increasingly monitored threatened populations and, when deemed necessary, intervened in aiming to halt or slow the extinction process (Hoffmann et al., Reference Hoffmann, Duckworth, Holmes, Mallon, Rodrigues and Stuart2015; Bolam et al., Reference Bolam, Mair, Angelico, Brooks, Burgman and Hermes2021).

The increasing capacity of the global conservation community to identify species at risk of extinction and to take action to mitigate this risk highlights the key role that humans now play in the extinction process. In other words, species become extinct (or avoid impending extinction) due to the interplay between human-mediated biological processes (range collapse, population decline, small populations) and human capacity to monitor and successfully intervene in this process (Ladle and Jepson, Reference Ladle and Jepson2008). There is a global safety net provided by the conservation movement as represented by government bodies and various international and national non-governmental conservation organizations (NGOs). In a similar way that extinction threats vary geographically, the motivation, capacity, resources and effectiveness of conservation also vary immensely by country and region (Waldron et al., Reference Waldron, Mooers, Miller, Nibbelink, Redding and Kuhn2013). Sometimes extinction threats and capacity to deal with those threats align, but frequently there is a mismatch, with geographic areas hosting a high frequency of threatened species mainly located in the “Global South” (Schipper et al., Reference Schipper, Chanson, Chiozza, Cox, Hoffmann and Katariya2008) while the capacity of the global conservation movement to act is often more concentrated in the “Global North” (Balmford et al., Reference Balmford, Gaston, Blyth, James and Kapos2003). While this is generally true, there are many exceptions, and further research into this area is needed.

Although conservation capacity is clearly central to the probability and time-scale of extinction for many species, it is a very poorly defined concept, hampering measurement and mapping efforts. The broadest definition of conservation capacity in relation to species extinctions includes at least three dimensions (Table 1): i) willingness and motivation to act; ii) knowledge to design effective interventions; and iii) institutional, technical and economic resources to implement effective interventions. The interactions of these three dimensions will largely determine whether a species is identified as being at risk of extinction, whether efforts are made to reduce the risk of extinction and whether those efforts are successful in the short and long term.

Table 1. Main dimensions of conservation capacity and some of the methods of measurement (see text for details)

Cultural willingness and motivation to prevent extinction

It is self-evident that societies vary enormously in their willingness to allocate resources to conserve different species depending upon their values and valuation of nature (Díaz et al., Reference Díaz, Demissew, Carabias and Joly2015). Among the conservation community, charismatic and culturally iconic species of vertebrates (mainly mammals and birds) are prioritized for conservation funding and action over equally threatened but culturally less visible species (Davies et al., Reference Davies, Cowley, Bennie, Leyshon, Inger and Carter2018; Mammola et al., Reference Mammola, Riccardi, Prié, Correia, Cardoso and Lopes-Lima2020). A recent analysis of the internet salience of 36,873 vertebrate taxa revealed that search interest was higher for more threatened mammal and bird species than it was for fish, reptiles and amphibians (Davies et al., Reference Davies, Cowley, Bennie, Leyshon, Inger and Carter2018). Similarly, Kim et al. (Reference Kim, Do, Im, Kim and Joo2014) examined web search data for 246 threatened species in Korea and found that the interest for mammals, birds, amphibians and reptiles were 10 times higher than those for other taxa. This bias toward vertebrates also has a geographical component, with temperate species receiving more conservation attention than those in the tropics (Titley et al., Reference Titley, Snaddon and Turner2017). Although plants generally receive less conservation attention than vertebrates, they are also strongly influenced by cultural perceptions (Adamo et al., Reference Adamo, Chialva, Calevo, Bertoni, Dixon and Mammola2021), with a recent study indicating that species with attractive flowers received more funding, irrespective of extinction risk (Adamo et al., Reference Adamo, Sousa, Wipf, Correia, Lumia, Mucciarelli and Mammola2022). Similarly, fungi conservation is significantly biased toward macrofungi since these are most easily observed and include many edible taxa (Gonçalves et al., Reference Gonçalves, Haelewaters, Furci and Mueller2021). It should be noted that even charismatic vertebrate species may still be lacking adequate resources to prevent continued population decline (Di Minin et al., Reference Di Minin, Laitila, Montesino‐Pouzols, Leader‐Williams, Slotow and Goodman2015; Courchamp et al., Reference Courchamp, Jaric, Albert, Meinard, Ripple and Chapron2018).

Culturally prominent species that generate high public interest and positive sentiment are more likely to be the target of conservation actions for two main reasons. Firstly, it is easier to mobilize support and resources through campaigns and other fund-raising actions when a species already has a high public profile (Thomas‐Walters and J Raihani, Reference Thomas‐Walters and J Raihani2017). Secondly, societal preferences also extend into scientific research, with researchers across the world preferentially collecting data on larger, more charismatic taxa independent of the threat status (Caro, Reference Caro2007; Troudet et al., Reference Troudet, Grandcolas, Blin, Vignes-Lebbe and Legendre2017). Conversely, many species receive little to no attention and are likely to suffer from a process of societal extinction – the decline of collective attention and memory of an extinct or threatened, extant species (Jarić et al., Reference Jarić, Roll, Bonaiuto, Brook, Courchamp and Firth2022). The process of societal extinction of species is linked to that of biological extinctions, as it is likely to result in decreased support for conservation action, ultimately affecting negatively the outcome of such efforts.

Until recently it was challenging to quantify the level of public awareness, interest and sentiment about threatened species at a national, regional and global scale because this required the use of time-consuming and costly social surveys. However, the recent development of “conservation culturomics” (Di Minin et al., Reference Di Minin, Laitila, Montesino‐Pouzols, Leader‐Williams, Slotow and Goodman2015; Ladle et al., Reference Ladle, Correia, Do, Joo, Malhado and Proulx2016; Correia et al., Reference Correia, Ladle, Jarić, Malhado, Mittermeier and Roll2021), the analysis of digital data generated by people to provide novel insights on human–nature interactions, allows the evaluation of multiple aspects of societal preferences for species and higher taxa. For example, Ladle et al. (Reference Ladle, Jepson, Correia and Malhado2019) found that the salience of bird species on the global internet was strongly correlated with species that have wide geographic ranges that overlap with technologically advanced societies, that are phenotypically conspicuous and, critically, that have direct interactions with humans (e.g., hunting, pet keeping, etc.). A related study based on Wikipedia page views for all extant species of birds found that farmed species and species in the pet bird trade were particularly prominent over multiple language editions (Mittermeier et al., Reference Mittermeier, Correia, Grenyer, Toivonen and Roll2021). These examples demonstrate how culturomic metrics can be used to capture and quantify different aspects of human interest in nature at scales that are beyond the reach of standard social surveys (see also Fink et al., Reference Fink, Hausmann and Di Minin2020; Falk and Hagsten, Reference Falk and Hagsten2022; Johnson et al., Reference Johnson, Cornford, Dove, Freeman and Millard2023).

Big data approaches such as culturomics have enormous potential but also many limitations related to scale and coverage (reviewed in Correia et al., Reference Correia, Ladle, Jarić, Malhado, Mittermeier and Roll2021, Di Minin et al., Reference Di Minin, Fink, Hausmann, Kremer and Kulkarni2021). For example, many Indigenous Peoples (and many other socially and economically marginalized groups) have limited access to the global internet, and understanding their interactions, attitudes and sentiment toward local species is also critical for effective conservation, but frequently ignored in conservation management (Zanotti and Knowles, Reference Zanotti and Knowles2020). Recognizing Indigenous Peoples and local communities’ rights and agency in conservation management (Reyes-García et al., Reference Reyes-García, Fernández-Llamazares, Aumeeruddy-Thomas, Benyei, Bussmann and Diamond2022) is of critical importance, both because much of the world’s biodiversity now exists in landscapes and seascapes traditionally owned, managed, used and/or occupied by Indigenous Peoples (Garnett et al., Reference Garnett, Burgess, Fa, Fernández-Llamazares, Molnár and Robinson2018) or by local communities (Brondizio and Le, Reference Brondizio and Le Tourneau2016) and because such a strategy might ultimately improve conservation outcomes (Büscher and Fletcher, Reference Büscher and Fletcher2019). Rates of biodiversity decline are slower in such areas than elsewhere, including protected areas (Garnett et al., Reference Garnett, Burgess, Fa, Fernández-Llamazares, Molnár and Robinson2018; Fa et al., Reference Fa, Watson, Leiper, Potapov, Evans and Burgess2020; O’Bryan et al., Reference O’Bryan, Garnett, Fa, Leiper, Rehbein and Fernández‐Llamazares2021). Reyes-García et al. (Reference Reyes-García, Cámara-Leret, Halpern, O’Hara, Renard and Zafra-Calvo2023) recently developed a framework around the concept of culturally important species that could be used to integrate different nature values into the management of threatened species. Such species predominated among areas where Indigenous Peoples live and, critically, include a high proportion of species that the IUCN classify as Data Deficient. Species in their study were more likely to be culturally than biologically threatened, especially those associated with Indigenous Peoples due to the high levels of cultural loss they have experienced.

Conservation-relevant knowledge of species

It has long been recognized that there are large and persistent taxonomic biases in which species have been researched and, consequently, the volume and quality of scientific knowledge about different species (Clark and May, Reference Clark and May2002; Fleming and Bateman, Reference Fleming and Bateman2016). Such variations potentially have a significant impact on the capacity of societies to prevent species from going extinct. For many species, to be “saved” from extinction there should be sufficient biological, ecological and cultural knowledge of the species and its habitat to support the design and implementation of appropriate conservation interventions (Murray et al., Reference Murray, Green, Williams, Burfield and Brooke2015; Cooke et al., Reference Cooke, Birnie-Gauvin, Lennox, Taylor, Rytwinski and Rummer2017). For other species, habitat and site-based conservation may be sufficient to prevent extinction and population decline. Moreover, more knowledge of a species or higher taxon does not always lead to better conservation interventions or swifter responses when a species is threatened, but, all things being equal, a well-studied species or group is more likely to be the subject of effective conservation actions than a poorly known counterpart. It should be noted that it is not only published scientific knowledge that is potentially important but also the practical and contextual knowledge of researchers (and other stakeholders) about the species in question. The greater the research effort, the greater number of people with such knowledge that can be mobilized to facilitate conservation efforts.

The causes of these biases are relatively well understood (Jarić et al., Reference Jarić, Correia, Roberts, Gessner, Meinard and Courchamp2019). For example, scientists tend to study species within the country where they work due to a combination of funding priorities, cost and convenience. It follows that countries with low scientific capacity typically have fewer qualified conservation scientists and ecologists and less resources available for research, leading to geographical biases in conservation research effort (Meyer et al., Reference Meyer, Kreft, Guralnick and Jetz2015). Species also vary in their “researchability” – any characteristic of the species that potentially increases the costs of data collection or which impedes or reduces the feasibility of a research project (da Silva et al., Reference da Silva, Malhado, Correia, Ladle, Vital and Mott2020; dos Santos et al., Reference dos Santos, Correia, Malhado, Campos‐Silva, Teles and Jepson2020). For field-based conservation research, this could include characteristics that make it harder to observe a species, such as small body size, habitat characteristics and accessibility, nocturnal activity patterns, elusiveness or cryptic coloration. Researchability could also be correlated with “conservability,” if the traits that make a species more challenging to study overlap with those that make it more difficult to implement conservation interventions. Moreover, when species are challenging to study they become less desirable targets for researchers whose chances of career advancement may depend on their publication record or the completion of a high-level research dissertation (Caro, Reference Caro2007).

As with human interest in species (see above), the last decade has seen great advances in our capacity to quantify taxonomic biases in research at scale through the analysis of bibliometric databases such as Scopus, Web of Knowledge or Google Scholar. For example, a recent regional-scale bibliometric analysis of Australian birds demonstrated significantly more publications on species with larger body sizes, larger ranges, higher relative abundance and presence in urban environments (Yarwood et al., Reference Yarwood, Weston and Symonds2019). A similar study on all extant species of mammals found that research volume was strongly associated with the scientific capacity within the range of species, high body mass and whether the species was non-native, with a very weak effect of conservation threat status (dos Santos et al., Reference dos Santos, Correia, Malhado, Campos‐Silva, Teles and Jepson2020).

Additionally, it should be noted that there can be a mismatch between the “researchability” of a species, as determined by scientists, and its cultural relevance, as defined by local criteria (Crane et al., Reference Crane, Pronk, Lakerveld, Weiler, Maat and Springate-Baginski2016). Reyes-García et al. (Reference Reyes-García, Cámara-Leret, Halpern, O’Hara, Renard and Zafra-Calvo2023) found that culturally important species had a much higher proportion of Data Deficient species than the full set of IUCN species, most likely resulting in an underestimation of their biological threat, as species categorized as Data Deficient by the IUCN seem to be more threatened than data-sufficient species (Borgelt et al., Reference Borgelt, Dorber, Høiberg and Verones2022). The data gap underscores that cultural considerations remain disregarded in much current biological research (Bridgewater and Rotherham, Reference Bridgewater and Rotherham2019) despite the fact that Indigenous and local knowledge has long been deemed as essential to setting realistic and effective biodiversity targets (Berkes et al., Reference Berkes, Colding and Folke2000; Brondízio et al., Reference Brondízio, Aumeeruddy-Thomas, Bates, Carino, Fernández-Llamazares and Ferrari2021; Reyes-García et al., Reference Reyes-García, Fernández-Llamazares, Aumeeruddy-Thomas, Benyei, Bussmann and Diamond2022).

Institutional, technical and economic capacity to intervene

Even when there is good scientific knowledge about a threatened species and strong public support for conservation action, weak institutional capacity means that interventions may be poorly planned and executed or not even implemented. In this context, institutional capacity normally refers to governmental departments, conservation NGOs and other civil society groups, and occasionally private sector organizations. Measuring such capacity is highly challenging, and there have been very few systematic analyses of conservation organizations at national, regional or global scales (Brockington et al., Reference Brockington, Scholfield, Ladle, Larson and Brockington2018). To our knowledge, there have not yet been attempts to evaluate institutional conservation capacity at the level of species or geographic regions (e.g., countries), though such quantifications could play a major role in determining the number, type and quality of interventions in the face of endangerment (Ladle and Jepson, Reference Ladle and Jepson2008). Such a lack is partly attributable to the difficulties of collecting data on diverse conservation actors (Malhado et al., Reference Malhado, Santos, Correia, Campos-Silva, Teles and Costa2020), and partly due to the complexity of factors that contribute to institutional capacity, severely limiting the potential to develop robust metrics.

Over the last decades, there has been an institutionalization of co-management and bottom-up approaches to conservation (e.g., Indigenous and Community Conserved Areas, community monitoring). For example, community-based monitoring is increasingly proposed to improve scientific understanding of biodiversity status and trends, or local uses of plants and animals, among other processes (Danielsen et al., Reference Danielsen, Enghoff, Poulsen, Funder, Jensen and Burgess2021). Understanding the role of such initiatives in curving extinction processes also requires monitoring.

How many species have been “saved” from extinction?

Estimating the number of species that would have gone extinct if conservationists had not intervened is, by definition, exceedingly challenging, and the fact remains that the number of species currently threatened with extinction is unprecedented in human history (Ceballos et al., Reference Ceballos, García and Ehrlich2010; Díaz et al., Reference Díaz, Settele, Brondízio, Ngo, Agard and Arneth2019). Well-known examples of “near extinction” events, such as the black-footed ferret (Dobson and Lyles, Reference Dobson and Lyles2000) or the Chatham Island Black Robin (von Seth et al., Reference von Seth, van der Valk, Lord, Sigeman, Olsen and Knapp2022), are indisputable. However, the imminent demise of the rescued population is often less clear-cut and there have been few large-scale estimations, mainly restricted to birds and mammals (Table 2). For example, Bolam et al. (Reference Bolam, Mair, Angelico, Brooks, Burgman and Hermes2021) estimated the number of species “saved” by canvassing the opinion of experts; their estimate that bird and mammal extinction rates would have been 2.9–4.2 times greater without conservation action is almost certainly an underestimate given that only clear cases were considered. There are many more situations where, had conservation not intervened earlier in the extinction process (i.e., before a species becomes Critically Endangered), a species would arguably have gone extinct. Moreover, many species have avoided extinction due to actions aimed at conserving sites, habitats and ecosystems. This category of “saved” species is even more difficult to quantify since they include many lesser-known taxa, some of which may be undescribed (Hortal et al., Reference Hortal, De Bello, Diniz-Filho, Lewinsohn, Lobo and Ladle2015).

Table 2. Estimated number of bird and mammal species that would have gone extinct without direct human intervention

A closely related issue to species saved from extinction is the number of species that would eventually go extinct without continued conservation investment. Such “conservation-dependent” species could justifiably include, among others, species whose i) populations are periodically augmented with captive-bred individuals; ii) populations are not declining due to continued management efforts such as anti-poaching measures and surveillance, genetic management, control of invasive species, supplemental feeding, etc.; and iii) last remaining individuals exist only in captivity. Taking the latter group of species as an example, there are 85 species currently classified as Extinct in the Wild (i.e., only ex-situ populations remain), and some of these species have persisted in captivity for over 70 years (Smith et al., Reference Smith, Abeli, Bruns, Dalrymple, Foster and Gilbert2023). Other forms of conservation dependence are poorly quantified but potentially represent a significant limitation to future conservation actions, given the limited resources available for new initiatives.

Extinction risk forecasting using push and push-back factors

As quantitative assessments of extinction risk, Red Lists are a crucial knowledge product and underpin much conservation law and policy (Rodrigues et al., Reference Rodrigues, Pilgrim, Lamoreux, Hoffmann and Brooks2006; Hoffmann et al., Reference Hoffmann, Brooks, Da Fonseca, Gascon, Hawkins and James2008). Red List categorizations are used, among other things, to i) support conservation decisions at, and across, multiple governance levels; ii) guide strategy and investments in species conservation; and iii) inform progress toward targets of international agreements. Perhaps more importantly, Red Lists have translated the key conservation value of avoiding anthropogenic extinctions into a governance tool that has helped produce global norms governing relations between society, economy and the nonhuman world (Jepson et al., Reference Jepson, Barua and Buckingham2011).

IUCN Red Lists assign species to extinction threat categories based on five quantitative criteria: i) population vulnerability; ii) population size reduction; iii) geographic range; iv) population size; and v) population viability analysis. These categories have a population ecology/life history focus, yet, as argued above, extinction (and its avoidance) is a biocultural phenomenon. Before and after a taxon is assigned to a Red List category it is subject to cultural forces that determine the success (or otherwise) of conservation actions (Ladle and Jepson, Reference Ladle and Jepson2008). We would argue that a species well known to science is, ceteris paribus, less likely to be at risk of extinction compared with a lesser-known species in the same threat category because the public and institutions will mobilize more effectively to save it. Exceptions may include species that are highly sought after as pets, trophies, food or fashion accessories (Gault et al., Reference Gault, Meinard and Courchamp2008; Palazy et al., Reference Palazy, Bonenfant, Gaillard and Courchamp2012b; Leclerc et al., Reference Leclerc, Bellard, Luque and Courchamp2015) that may suffer more intense exploitation than less-desirable species (Courchamp et al., Reference Courchamp, Angulo, Rivalan, Hall, Signoret and Bull2006). Moreover, IUCN species lists do not explicitly include the importance of species for local cultures (Reyes-García et al., Reference Reyes-García, Cámara-Leret, Halpern, O’Hara, Renard and Zafra-Calvo2023), a factor that could also play a vital role in the success of any proposed conservation intervention. In short, IUCN Red List categories currently omit a range of non-biological factors that may be critical in determining whether a species will be “saved” from extinction (or not).

Creating a systematic and comprehensive system of assessing public interest and local cultural importance of species could, along with information of scientific knowledge of species, provide interesting complementary information to support and add nuance to extinction categorizations (Figure 1). Specifically, information from Indigenous and local knowledge systems or from macroscale cultural analysis (e.g., culturomics) could potentially be used to i) identify threatened species assemblages and geographic regions (or parts of regions) where the potential for rallying support may be weaker and where greater investment may be required to improve the conservation status of a taxon (Ladle et al., Reference Ladle, Correia, Do, Joo, Malhado and Proulx2016); ii) further support the use of Red Lists in business and investment decisions (Bennun et al., Reference Bennun, Regan, Bird, van Bochove, Katariya and Livingstone2018), making material the reputational risks associated with activities that impact publicly visible globally threatened species; iii) enhance the quality of conservation actions by increasing the recognition of Indigenous Peoples and local communities’ knowledge, values and rights (Reyes-García et al., Reference Reyes-García, Fernández-Llamazares, Aumeeruddy-Thomas, Benyei, Bussmann and Diamond2022); and iv) provide complementary information to support and prompt innovative actions to reduce extinction risk. For example, “digital interventions” can raise the public profile of threatened species and more effectively link communities of interest with specific taxa.

Figure 1. Enhanced extinction assessment by combining the IUCN Red List with metrics of scientific knowledge and cultural salience. Species in block Y are more likely to go extinct compared to block A because, in addition to biological drivers of extinction (e.g. small population size, small range size, declining populations, etc.), species in this category have low cultural salience, reducing willingness/motivation to act, and low scientific knowledge, reducing ability to mount effective conservation interventions

The above suggestions come with the caveat that cultural evaluation based on big data approaches such as culturomics has many limitations and biases (Troumbis and Iosifidis, Reference Troumbis and Iosifidis2020; Correia et al., Reference Correia, Ladle, Jarić, Malhado, Mittermeier and Roll2021), and much research is still needed to develop robust, well-validated metrics that can be used with confidence for conservation planning and assessment. Furthermore, as cultural metrics are eventually integrated into extinction risk assessment, it is inevitable that different threatened species might benefit or lose out depending on how conservation organizations choose to use this information; for example, deciding on the balance between funding the conservation of well-known species versus promoting the conservation of species deemed to have little or no cultural importance.

All things being equal, in areas where conservation capacity is low, i) species are less likely to be “saved” from extinction due to a lack of scientific knowledge, resources and effective conservation interventions; ii) threatened species may be less effectively monitored (Fisher et al., Reference Fisher, Radford, Knowlton, Brainard, Michaelis and Caley2011) leading to incomplete knowledge of species distributions/population status and slow or absent conservation responses; and iii) technological interventions such as captive breeding, reintroductions and translocations are less likely to be implemented or successful. However, the willingness and capacity of institutions to act to prevent a species from imminent extinction are not straightforward to evaluate and partially depend on the cultural characteristics of the threatened species, with far less effort expended on the conservation of non-charismatic species. For example, Bellon (Reference Bellon2019) found that species popularity (higher internet salience) had a greater effect than federal priority ranking for the funding of threatened species by various US federal agencies under the Endangered Species Act.

Conclusions

Species extinction is a complex phenomenon that involves both biological and social factors. Understanding and addressing these factors is crucial for the conservation of biodiversity. Most, if not all, species currently in danger of imminent extinction are in that state due to the direct and/or indirect impacts of humans on the environment. Moreover, whether these species actually go extinct will largely depend on the willingness to act and the technical capacity of local, national and international conservation organizations, along with the support of local communities and other stakeholders. In contrast to the assessment of biological and ecological risk factors, our understanding and quantification of the cultural and political vulnerability of species is at an early stage of development. A more comprehensive understanding of which species will go extinct and which will be “rescued” by conservation and stewardship efforts will require an explicit interdisciplinary, biocultural approach to extinction that draws on expertise from the social sciences, and dialog with holders of other knowledge systems and, in particular, with Indigenous Peoples and local communities. For many currently threatened species, extinction will only occur if society allows it to occur, through a lack of motivation, knowledge, resources, or local conservation capacity.

Open peer review

To view the open peer review materials for this article, please visit http://doi.org/10.1017/ext.2023.20.

Author contribution

All authors contributed to the conceptualization, writing the original draft, and reviewing and editing of the draft. Writing was coordinated by R.J.L.

Financial support

R.J.L., F.A-M. and A.C.C.M. are supported by the European Union’s Horizon 2020 research and innovation programme (grant agreement #854248). V.R-G. is supported by the European Research Council under an ERC Consolidator Grant (FP7–771056-LICCI). This research contributes to the “María de Maeztu Unit of Excellence” (CEX2019–000940-M). E.D.M. thanks the European Research Council (ERC) for funding under the European Union’s Horizon 2020 research and innovation program (grant agreement 802,933). R.A.C. acknowledges funding from the Research Council of Finland (Grant agreement #348352) and the KONE Foundation (Grant agreement #202101976).

Competing interest

The authors declare none.

References

Adamo, M, Chialva, M, Calevo, J, Bertoni, F, Dixon, K and Mammola, S (2021) Plant scientists’ research attention is skewed towards colourful, conspicuous and broadly distributed flowers. Nature Plants 7, 574578.CrossRefGoogle ScholarPubMed
Adamo, M, Sousa, R, Wipf, S, Correia, RA, Lumia, A, Mucciarelli, M and Mammola, S (2022) Dimension and impact of biases in funding for species and habitat conservation. Biological Conservation 272, 109636.CrossRefGoogle Scholar
Adams, WM, Aveling, R, Brockington, D, Dickson, B, Elliott, J, Hutton, J, et al. (2004) Biodiversity conservation and the eradication of poverty. Science 306, 11461149.CrossRefGoogle ScholarPubMed
Balmford, A, Gaston, KJ, Blyth, S, James, A and Kapos, V (2003) Global variation in terrestrial conservation costs, conservation benefits, and unmet conservation needs. Proceedings of the National Academy of Sciences 100, 10461050.CrossRefGoogle ScholarPubMed
Bebber, DP, Marriott, FHC, Gaston, KJ, Harris, SA and Scotland, RW (2007) Predicting unknown species numbers using discovery curves. Proceedings of the Royal Society B: Biological Sciences 274, 16511658.CrossRefGoogle ScholarPubMed
Bellon, AM (2019) Does animal charisma influence conservation funding for vertebrate species under the US endangered species act? Environmental Economics and Policy Studies 21, 399411.CrossRefGoogle Scholar
Bengtson, S-A (1984) Breeding ecology and extinction of the great auk (Pinguinus impennis): Anecdotal evidence and conjectures. The Auk 101, 112.CrossRefGoogle Scholar
Bennett, EL, Milner-Gulland, EJ, Bakarr, M, Eves, HE, Robinson, JG and Wilkie, DS (2002) Hunting the world’s wildlife to extinction. Oryx 36, 328329.CrossRefGoogle Scholar
Bennun, L, Regan, EC, Bird, J, van Bochove, J, Katariya, V, Livingstone, S, et al. (2018) The value of the IUCN red list for business decision‐making. Conservation Letters 11, e12353.CrossRefGoogle Scholar
Berkes, F, Colding, J and Folke, C (2000) Rediscovery of traditional ecological knowledge as adaptive management. Ecological Applications 10, 12511262.CrossRefGoogle Scholar
Bolam, FC, Mair, L, Angelico, M, Brooks, TM, Burgman, M, Hermes, C, et al. (2021) How many bird and mammal extinctions has recent conservation action prevented? Conservation Letters 14, e12762.CrossRefGoogle Scholar
Borgelt, J, Dorber, M, Høiberg, MA and Verones, F (2022) More than half of data deficient species predicted to be threatened by extinction. Communications Biology 5, 679.CrossRefGoogle ScholarPubMed
Branch, TA, Lobo, AS and Purcell, SW (2013) Opportunistic exploitation: An overlooked pathway to extinction. Trends in Ecology and Evolution 28, 409413.CrossRefGoogle ScholarPubMed
Bridgewater, P and Rotherham, ID (2019) A critical perspective on the concept of biocultural diversity and its emerging role in nature and heritage conservation. People and Nature 1, 291304.CrossRefGoogle Scholar
Brockington, D, Scholfield, K and Ladle, R (2018) Anthropology of conservation NGOs: Learning from a sectoral approach to the study of NGOs. In Larson, PB and Brockington, D (eds.), The Anthropology of Conservation NGOs. Cham: Palgrave, pp. 4770.CrossRefGoogle Scholar
Brondízio, ES, Aumeeruddy-Thomas, Y, Bates, P, Carino, J, Fernández-Llamazares, Á, Ferrari, MF, et al. (2021) Locally based, regionally manifested, and globally relevant: Indigenous and local knowledge, values, and practices for nature. Annual Review of Environment and Resources 46, 481509.CrossRefGoogle Scholar
Brondizio, ES and Le Tourneau, F-M (2016) Environmental governance for all. Science 352, 12721273.CrossRefGoogle ScholarPubMed
Büscher, B and Fletcher, R (2019) Towards convivial conservation. Conservation and Society 17, 283296CrossRefGoogle Scholar
Butchart, SHM, Stattersfield, AJ and Collar, NJ (2006) How many bird extinctions have we prevented? Oryx 40, 266278.CrossRefGoogle Scholar
Cahill, AE, Aiello-Lammens, ME, Fisher-Reid, MC, Hua, X, Karanewsky, CJ, Yeong Ryu, H, et al. (2013) How does climate change cause extinction? Proceedings of the Royal Society B: Biological Sciences 280, 20121890.CrossRefGoogle ScholarPubMed
Caro, T (2007) Behavior and conservation: A bridge too far? Trends in Ecology and Evolution 22, 394400.CrossRefGoogle ScholarPubMed
Caughley, G (1994) Directions in conservation biology. Journal of Animal Ecology 63, 215244.CrossRefGoogle Scholar
Ceballos, G, Ehrlich, PR, Barnosky, AD, García, A, Pringle, RM and Palmer, TM (2015) Accelerated modern human–induced species losses: Entering the sixth mass extinction. Science Advances 1, e1400253.CrossRefGoogle ScholarPubMed
Ceballos, G, García, A and Ehrlich, PR (2010) The sixth extinction crisis: Loss of animal populations and species. Journal of Cosmology 8, 18211831.Google Scholar
Chisholm, RA, Giam, X, Sadanandan, KR, Fung, T and Rheindt, FE (2016) A robust nonparametric method for quantifying undetected extinctions. Conservation Biology 30, 610617.CrossRefGoogle ScholarPubMed
Clark, JA and May, RM (2002) Taxonomic bias in conservation research. Science 297, 191192.CrossRefGoogle ScholarPubMed
Clavero, M and García-Berthou, E (2005) Invasive species are a leading cause of animal extinctions. Trends in Ecology and Evolution 20, 110.CrossRefGoogle ScholarPubMed
Cooke, SJ, Birnie-Gauvin, K, Lennox, RJ, Taylor, JJ, Rytwinski, T, Rummer, JL, et al. (2017) How experimental biology and ecology can support evidence-based decision-making in conservation: Avoiding pitfalls and enabling application. Conservation Physiology 5, cox043.CrossRefGoogle ScholarPubMed
Correia, RA, Ladle, R, Jarić, I, Malhado, ACM, Mittermeier, JC, Roll, U, et al. (2021) Digital data sources and methods for conservation culturomics. Conservation Biology 35, 398411.CrossRefGoogle ScholarPubMed
Courchamp, F, Angulo, E, Rivalan, P, Hall, RJ, Signoret, L, Bull, L, et al. (2006) Rarity value and species extinction: The anthropogenic Allee effect. PLoS Biology 4, e415.CrossRefGoogle ScholarPubMed
Courchamp, F, Jaric, I, Albert, C, Meinard, Y, Ripple, WJ, Chapron, G (2018) The paradoxical extinction of the most charismatic animals. PLoS Biology 16, e2003997.CrossRefGoogle ScholarPubMed
Crane, TA, Pronk, M, Lakerveld, R, Weiler, V, Maat, H, Springate-Baginski, O, et al. (2016) Research design and the politics of abstraction: Unpacking the environmentality of scientific practice in socioecological assessments. Human Ecology 44, 665675.CrossRefGoogle Scholar
da Silva, AF, Malhado, ACM, Correia, RA, Ladle, RJ, Vital, MVC, Mott, T (2020) Taxonomic bias in amphibian research: Are researchers responding to conservation need? Journal for Nature Conservation 56, 125829.CrossRefGoogle Scholar
Danielsen, F, Enghoff, M, Poulsen, MK, Funder, M, Jensen, PM and Burgess, ND (2021) The concept, practice, application, and results of locally based monitoring of the environment. Bioscience 71, 484502.CrossRefGoogle ScholarPubMed
Davies, T, Cowley, A, Bennie, J, Leyshon, C, Inger, R, Carter, H, et al. (2018) Popular interest in vertebrates does not reflect extinction risk and is associated with bias in conservation investment. PLoS One 13, e0203694.CrossRefGoogle Scholar
De Vos, JM, Joppa, LN, Gittleman, JL, Stephens, PR and Pimm, SL (2015) Estimating the normal background rate of species extinction. Conservation Biology 29, 452462.CrossRefGoogle ScholarPubMed
Di Minin, E, Fink, C, Hausmann, A, Kremer, J and Kulkarni, R (2021) How to address data privacy concerns when using social media data in conservation science. Conservation Biology 35, 437446.CrossRefGoogle ScholarPubMed
Di Minin, E, Laitila, J, Montesino‐Pouzols, F, Leader‐Williams, N, Slotow, R, Goodman, PS, et al. (2015) Identification of policies for a sustainable legal trade in rhinoceros horn based on population projection and socioeconomic models. Conservation Biology 29, 545555.CrossRefGoogle ScholarPubMed
Díaz, S, Demissew, S, Carabias, J and Joly, C (2015) The IPBES conceptual framework-connecting nature and people. Current Opinion in Environmental Sustainability 14, 116.CrossRefGoogle Scholar
Díaz, S, Settele, J, Brondízio, ES, Ngo, HT, Agard, J, Arneth, A, et al. (2019) Pervasive human-driven decline of life on earth points to the need for transformative change. Science 366, eaax3100.CrossRefGoogle Scholar
Dobson, A and Lyles, A (2000) Black-footed ferret recovery. Science 288, 985988.CrossRefGoogle ScholarPubMed
dos Santos, JW, Correia, RA, Malhado, ACM, Campos‐Silva, JV, Teles, D, Jepson, P, et al. (2020) Drivers of taxonomic bias in conservation research: A global analysis of terrestrial mammals. Animal Conservation 23, 679688.CrossRefGoogle Scholar
Fa, JE, Watson, JEM, Leiper, I, Potapov, P, Evans, TD, Burgess, ND, et al. (2020) Importance of indigenous peoples’ lands for the conservation of intact Forest landscapes. Frontiers in Ecology and the Environment 18, 135140.CrossRefGoogle Scholar
Falk, MT and Hagsten, E (2022) Digital indicators of interest in natural world heritage sites. Journal of Environmental Management 324, 116250.CrossRefGoogle ScholarPubMed
Fink, C, Hausmann, A, Di Minin, E (2020) Online sentiment towards iconic species. Biological Conservation 241, 108289.CrossRefGoogle Scholar
Fisher, R, Radford, BT, Knowlton, N, Brainard, RE, Michaelis, FB and Caley, MJ (2011) Global mismatch between research effort and conservation needs of tropical coral reefs. Conservation Letters 4, 6472.CrossRefGoogle Scholar
Flather, CH, Hayward, GD, Beissinger, SR and Stephens, PA (2011) Minimum viable populations: Is there a ‘magic number’ for conservation practitioners? Trends in Ecology and Evolution 26, 307316.CrossRefGoogle Scholar
Fleming, PA and Bateman, PW (2016) The good, the bad, and the ugly: Which Australian terrestrial mammal species attract most research? Mammal Review 46, 241254.CrossRefGoogle Scholar
Fu, JS and Shumate, M (2020) Developing and validating a capacity instrument for Chinese and US NGOs. Nonprofit and Voluntary Sector Quarterly 49, 631652.CrossRefGoogle Scholar
García‐Robledo, C, Kuprewicz, EK, Baer, CS, Clifton, E, Hernández, GG and Wagner, DL (2020) The Erwin equation of biodiversity: From little steps to quantum leaps in the discovery of tropical insect diversity. Biotropica 52, 590597.CrossRefGoogle Scholar
Garibaldi, A and Turner, N (2004) Cultural keystone species: Implications for ecological conservation and restoration. Ecology and Society 9, 1.CrossRefGoogle Scholar
Garnett, ST, Burgess, ND, Fa, JE, Fernández-Llamazares, Á, Molnár, Z, Robinson, CJ, et al. (2018) A spatial overview of the global importance of indigenous lands for conservation. Nature Sustainability 1, 369374.CrossRefGoogle Scholar
Garnett, ST and Christidis, L (2017) Taxonomy anarchy hampers conservation. Nature 546, 2527.CrossRefGoogle ScholarPubMed
Gault, A, Meinard, Y and Courchamp, F (2008) Consumers’ taste for rarity drives sturgeons to extinction. Conservation Letters 1, 199207.CrossRefGoogle Scholar
Gavin, MC, McCarter, J, Mead, A, Berkes, F, Stepp, JR, Peterson, D, et al. (2015) Defining biocultural approaches to conservation. Trends in Ecology and Evolution 30, 140145.CrossRefGoogle ScholarPubMed
Gonçalves, SC, Haelewaters, D, Furci, G and Mueller, GM (2021) Include all fungi in biodiversity goals. Science 373, 403.CrossRefGoogle ScholarPubMed
Hall, RJ, Milner‐Gulland, EJ and Courchamp, F (2008) Endangering the endangered: The effects of perceived rarity on species exploitation. Conservation Letters 1, 7581.CrossRefGoogle Scholar
Hoffmann, M, Brooks, TM, Da Fonseca, GAB, Gascon, C, Hawkins, AFA, James, RE, et al. (2008) Conservation planning and the IUCN red list. Endangered Species Research 6, 113125.CrossRefGoogle Scholar
Hoffmann, M, Duckworth, JW, Holmes, K, Mallon, DP, Rodrigues, ASL and Stuart, SN (2015) The difference conservation makes to extinction risk of the world’s ungulates. Conservation Biology 29, 13031313.CrossRefGoogle ScholarPubMed
Hortal, J, De Bello, F, Diniz-Filho, JAF, Lewinsohn, TM, Lobo, JM and Ladle, RJ (2015) Seven shortfalls that beset large-scale knowledge of biodiversity. Annual Review of Ecology, Evolution, and Systematics 46, 523549.CrossRefGoogle Scholar
Hughes, AC, Qiao, H and Orr, MC (2021) Extinction targets are not SMART (specific, measurable, ambitious, realistic, and time bound). Bioscience 71, 115118.CrossRefGoogle Scholar
Jarić, I, Correia, RA, Roberts, DL, Gessner, J, Meinard, Y and Courchamp, F (2019) On the overlap between scientific and societal taxonomic attentions — Insights for conservation. Science of the Total Environment 648, 772778.CrossRefGoogle ScholarPubMed
Jarić, I, Normande, IC, Arbieu, U, Courchamp, F, Crowley, SL, Jeschke, JM, et al. (2023) Flagship individuals in biodiversity conservation. Frontiers in Ecology and the Environment, https://doi.org/10.1002/fee.2598.Google Scholar
Jarić, I, Roll, U, Bonaiuto, M, Brook, BW, Courchamp, F, Firth, JA, et al. (2022) Societal extinction of species. Trends in Ecology and Evolution 37, 411419.CrossRefGoogle ScholarPubMed
Jepson, P, Barua, M and Buckingham, K (2011) What is a conservation actor? Conservation and Society 9, 229235.CrossRefGoogle Scholar
Johnson, TF, Cornford, R, Dove, S, Freeman, R and Millard, J (2023) Achieving a real‐time online monitoring system for conservation culturomics. Conservation Biology 37, e14096.CrossRefGoogle ScholarPubMed
Kim, JY, Do, Y, Im, R-Y, Kim, G-Y and Joo, G-J (2014) Use of large web-based data to identify public interest and trends related to endangered species. Biodiversity and Conservation 23, 29612984.CrossRefGoogle Scholar
Kunin, WE, Harte, J, He, F, Hui, C, Jobe, RT, Ostling, A, et al. (2018) Upscaling biodiversity: Estimating the species–area relationship from small samples. Ecological Monographs 88, 170187.CrossRefGoogle Scholar
Ladle, RJ (2009) Forecasting extinctions: Uncertainties and limitations. Diversity 1, 133150.CrossRefGoogle Scholar
Ladle, RJ, Correia, RA, Do, Y, Joo, GJ, Malhado, ACM, Proulx, R, et al. (2016) Conservation culturomics. Frontiers in Ecology and the Environment 14, 269275.CrossRefGoogle Scholar
Ladle, RJ and Jepson, P (2008) Toward a biocultural theory of avoided extinction. Conservation Letters 1, 111118.CrossRefGoogle Scholar
Ladle, RJ and Jepson, P (2011) Origins, uses, and transformation of extinction rhetoric. Environment and Society 1, 96115. https://doi.org/10.3167/ares.2010.010105Google Scholar
Ladle, RJ, Jepson, P, Correia, RA and Malhado, ACM (2019) A culturomics approach to quantifying the salience of species on the global internet. People and Nature 1, 524532.CrossRefGoogle Scholar
Lande, R (1998) Anthropogenic, ecological and genetic factors in extinction and conservation. Population Ecology 40, 259269.CrossRefGoogle Scholar
Leclerc, C, Bellard, C, Luque, GM and Courchamp, F (2015) Overcoming extinction: Understanding processes of recovery of the Tibetan antelope. Ecosphere 6, 114.CrossRefGoogle Scholar
Mace, GM (2004) The role of taxonomy in species conservation. Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences 359, 711719.CrossRefGoogle ScholarPubMed
Malhado, ACMM, Santos, J, Correia, RA, Campos-Silva, J V., Teles, D, Costa, MH, et al. (2020) Monitoring and mapping non-governmental conservation action in Amazonia. Land Use Policy 94, 104556.CrossRefGoogle Scholar
Mammola, S, Riccardi, N, Prié, V, Correia, R, Cardoso, P, Lopes-Lima, M, et al. (2020) Towards a taxonomically unbiased European Union biodiversity strategy for 2030. Proceedings of the Royal Society B 287, 20202166.CrossRefGoogle ScholarPubMed
Mateo-Martín, J, Benítez, J, García, C, Gras, A, Molina, M, Reyes-García, V, et al. (2023) Traditional management of culturally important wild medicinal plant species does not reduce their spatial distribution. In People and Nature, in press.Google Scholar
Maxwell, SL, Fuller, RA, Brooks, TM and Watson, JEM (2016) Biodiversity: The ravages of guns, nets and bulldozers. Nature 536, 143145.CrossRefGoogle ScholarPubMed
McBrien, J (2016) Accumulating extinction. In Moore, JW (ed.), Anthropocene or Capitalocene? Nature, History, and the Crisis of Capitalism Oakland, CA: PM Press, pp. 116137.Google Scholar
McKee, JK, Sciulli, PW, Fooce, CD and Waite, TA (2004) Forecasting global biodiversity threats associated with human population growth. Biological Conservation 115, 161164.CrossRefGoogle Scholar
Meyer, C, Kreft, H, Guralnick, R and Jetz, W (2015) Global priorities for an effective information basis of biodiversity distributions. Nature Communications 6, 18.CrossRefGoogle ScholarPubMed
Millard, JW, Gregory, RD, Jones, KE and Freeman, R (2020) The species awareness index as a conservation culturomics metric for public biodiversity awareness. Conservation Biology 35, 472482.CrossRefGoogle Scholar
Mittermeier, JC, Correia, R, Grenyer, R, Toivonen, T and Roll, U (2021) Using Wikipedia to measure public interest in biodiversity and conservation. Conservation Biology 35, 412423.CrossRefGoogle ScholarPubMed
Murray, HJ, Green, EJ, Williams, DR, Burfield, IJ and Brooke, MdL (2015) Is research effort associated with the conservation status of European bird species? Endangered Species Research 27, 193206.CrossRefGoogle Scholar
Nicholls, H (2012) The legacy of lonesome George. Nature 487, 279281.CrossRefGoogle ScholarPubMed
O’Bryan, CJ, Garnett, ST, Fa, JE, Leiper, I, Rehbein, JA, Fernández‐Llamazares, Á, et al. (2021) The importance of indigenous peoples’ lands for the conservation of terrestrial mammals. Conservation Biology 35, 10021008.CrossRefGoogle ScholarPubMed
Orton, J (1869) The great auk. The American Naturalist 3, 539542.CrossRefGoogle Scholar
Palazy, L, Bonenfant, C, Gaillard, JM and Courchamp, F (2012a) Rarity, trophy hunting and ungulates. Animal Conservation 15, 411.CrossRefGoogle Scholar
Palazy, L, Bonenfant, C, Gaillard, JM and Courchamp, F (2012b) On the use of the IUCN status for the management of trophy hunting. Wildlife Research 39, 711720.CrossRefGoogle Scholar
Pearce-Higgins, JW, Brown, DJ, Douglas, DJT, Alves, JA, Bellio, M, Bocher, P, et al. (2017) A global threats overview for Numeniini populations: Synthesising expert knowledge for a group of declining migratory birds. Bird Conservation International 27, 634.CrossRefGoogle Scholar
Pimm, SL, Jenkins, CN, Abell, R, Brooks, TM, Gittleman, JL, Joppa, LN, et al. (2014) The biodiversity of species and their rates of extinction, distribution, and protection. Science 344:, 1246752.CrossRefGoogle ScholarPubMed
Powers, RP and Jetz, W (2019) Global habitat loss and extinction risk of terrestrial vertebrates under future land-use-change scenarios. Nature Climate Change 9, 323329.CrossRefGoogle Scholar
Reyes-García, V, Cámara-Leret, R, Halpern, BS, O’Hara, C, Renard, D, Zafra-Calvo, N, et al. (2023) Biocultural vulnerability exposes threats of culturally important species. Proceedings of the National Academy of Sciences 120, e2217303120.CrossRefGoogle ScholarPubMed
Reyes-García, V, Fernández-Llamazares, Á, Aumeeruddy-Thomas, Y, Benyei, P, Bussmann, RW, Diamond, SK, et al. (2022) Recognizing indigenous peoples’ and local communities’ rights and agency in the post-2020 biodiversity agenda. Ambio 51, 8492.CrossRefGoogle ScholarPubMed
Rodrigues, ASL, Pilgrim, JD, Lamoreux, JF, Hoffmann, M and Brooks, TM (2006) The value of the IUCN red list for conservation. Trends in Ecology and Evolution 21, 7176.CrossRefGoogle ScholarPubMed
Sadovy, Y and Cheung, WL (2003) Near extinction of a highly fecund fish: The one that nearly got away. Fish and Fisheries 4, 8699.CrossRefGoogle Scholar
Samojlik, T, Daszkiewicz, P, Fedotova, A, Ričkienė, A, Cielemęcka, O and Szczygielska, M (2023) Evolution of European bison image and its implications for current species conservation. PLoS One 18, e0281113.CrossRefGoogle ScholarPubMed
Schipper, J, Chanson, JS, Chiozza, F, Cox, NA, Hoffmann, M, Katariya, V, et al. (2008) The status of the world’s land and marine mammals: Diversity, threat, and knowledge. Science 322, 225230.CrossRefGoogle ScholarPubMed
Siriwat, P, Nekaris, KAI and Nijman, V (2019) The role of the anthropogenic Allee effect in the exotic pet trade on Facebook in Thailand. Journal for Nature Conservation 51, 125726.CrossRefGoogle Scholar
Smith, D, Abeli, T, Bruns, EB, Dalrymple, SE, Foster, J, Gilbert, TC, et al. (2023) Extinct in the wild: The precarious state of Earth’s most threatened group of species. Science 379, eadd2889.CrossRefGoogle ScholarPubMed
Solow, AR (2005) Inferring extinction from a sighting record. Mathematical Biosciences 195, 4755.CrossRefGoogle ScholarPubMed
Soulé, ME (1985) What is conservation biology? Bioscience 35, 727734.Google Scholar
Spash, CL and Smith, T (2019) Of ecosystems and economies: Re-connecting economics with reality. Real-World Economics Review 87, 212229.Google Scholar
Stropp, J, Ladle, RJ, Emilio, T, Lessa, T and Hortal, J (2022) Taxonomic uncertainty and the challenge of estimating global species richness. Journal of Biogeography 49, 16541656.CrossRefGoogle Scholar
Thomas, CD, Cameron, A, Green, RE, Bakkenes, M, Beaumont, LJ, Collingham, YC, et al. (2004) Extinction risk from climate change. Nature 427, 145148.CrossRefGoogle ScholarPubMed
Thomas‐Walters, L and J Raihani, N (2017) Supporting conservation: The roles of flagship species and identifiable victims. Conservation Letters 10, 581587.CrossRefGoogle Scholar
Titley, MA, Snaddon, JL and Turner, EC (2017) Scientific research on animal biodiversity is systematically biased towards vertebrates and temperate regions. PLoS One 12, e0189577.CrossRefGoogle ScholarPubMed
Tournant, P, Joseph, L, Goka, K and Courchamp, F (2012) The rarity and overexploitation paradox: Stag beetle collections in Japan. Biodiversity and Conservation 21, 14251440.CrossRefGoogle Scholar
Traill, LW, Brook, BW, Frankham, RR and Bradshaw, CJA (2010) Pragmatic population viability targets in a rapidly changing world. Biological Conservation 143, 2834.CrossRefGoogle Scholar
Troudet, J, Grandcolas, P, Blin, A, Vignes-Lebbe, R and Legendre, F (2017) Taxonomic bias in biodiversity data and societal preferences. Scientific Reports 7, 9132.CrossRefGoogle ScholarPubMed
Troumbis, AY, Iosifidis, S (2020) A decade of Google trends-based conservation culturomics research: A critical evaluation of an evolving epistemology. Biological Conservation 248, 108647.CrossRefGoogle Scholar
von Seth, J, van der Valk, T, Lord, E, Sigeman, H, Olsen, RA, Knapp, M, et al. (2022) Genomic trajectories of a near-extinction event in the Chatham Island black robin. BMC Genomics 23, 117.CrossRefGoogle ScholarPubMed
Waldron, A, Mooers, AO, Miller, DC, Nibbelink, N, Redding, D, Kuhn, TS, et al. (2013) Targeting global conservation funding to limit immediate biodiversity declines. Proceedings of the National Academy of Sciences 110, 1214412148.CrossRefGoogle ScholarPubMed
Wilson, EO (1992) The Diversity of Life. London: Penguin.Google Scholar
Yarwood, MR, Weston, MA and Symonds, MRE (2019) Biological determinants of research effort on Australian birds: A comparative analysis. Emu-Austral Ornithology 119, 3844.CrossRefGoogle Scholar
Zachos, FE (2016) Species Concepts in Biology. Cham, Switzerland: Springer.CrossRefGoogle Scholar
Zanotti, L and Knowles, N (2020) Large intact forest landscapes and inclusive conservation: A political ecological perspective. Journal of Political Ecology 27, 539557.CrossRefGoogle Scholar
Ziembicki, MR, Woinarski, JCZ and Mackey, B (2013) Evaluating the status of species using indigenous knowledge: Novel evidence for major native mammal declines in northern Australia. Biological Conservation 157, 7892.CrossRefGoogle Scholar
Figure 0

Table 1. Main dimensions of conservation capacity and some of the methods of measurement (see text for details)

Figure 1

Table 2. Estimated number of bird and mammal species that would have gone extinct without direct human intervention

Figure 2

Figure 1. Enhanced extinction assessment by combining the IUCN Red List with metrics of scientific knowledge and cultural salience. Species in block Y are more likely to go extinct compared to block A because, in addition to biological drivers of extinction (e.g. small population size, small range size, declining populations, etc.), species in this category have low cultural salience, reducing willingness/motivation to act, and low scientific knowledge, reducing ability to mount effective conservation interventions

Author comment: Biocultural aspects of species extinctions — R0/PR1

Comments

Dear Prof. Brook,

We are very happy to submit our invited review manuscript on biocultural aspects of extinction. We were able to recruit a fantastic team of internationally renowned scientists and social scientists to work on the article and, I think, we have produced a very thought provoking and original contribution to the subject area. Specifically, we highlight the multiple, interacting influences of human action in both the causes and responses to population decline, and discuss how advances in monitoring human-nature interactions may offer interesting new approaches to evaluating extinction vulnerability.

If you require any further information please don’t hesitate to get in touch.

Richard J. Ladle (on behalf of co-authors)

Review: Biocultural aspects of species extinctions — R0/PR2

Conflict of interest statement

Reviewer declares none.

Comments

In this manuscript, the authors develop the theme of the correlation between the extinction of a taxa and the socio-cultural aspects that ensue or that may lead, in some cases, to the mitigation of the risk of this occurring; or, in other cases, the aggravation of the status of a species. Perhaps this second aspect is somewhat less investigated, but that may just be my impression.

The introductory part defining extinctions seemed a bit long-winded to me, it seems to skirt around the point, without sinking in; it is the only paragraph where I got this impression, in fact, in general the article is very interesting and well-written and does not bore despite the large amount of bibliography cited.

Being a kind of review, the article has no results to discuss, which is why I would have expected references to be given in the tables, perhaps not all of them, but at least the most significant articles (if I have not understood anything, ignore this suggestion). Reading the abstract of the manuscript, I would have expected to find some references to traditional Chinese medicine. Rhino horn is perhaps one of its best-known global effects, but the genus Dendrobium (Orchidaceae) is also not healthy due to its use in traditional medicine, and numerous other examples exist. I would also have expected to find more practical operational indications on how to integrate socio-cultural aspects with the risk of extinction.

In the first paragraph ‘Cultural willingness and motivation to prevent extinction’, it would be nice to add some indication of the conservation of macromycetes, which are often completely ignored. I recommend the article by Gonçalves et al. (2021).

In line 208, you talk about indigenous peoples and the difficulty of tracking their interactions, attitudes, and sentiment towards local species through the Internet. But it seems to me that there is a problem of scale in this kind of statement: it is obvious that through the web I can extract information that is valid for contexts that i) have access to the net ii) concern regional or global scale. Or else the message of the sentence is not very clear. At line 242 it occurred to me that there are places that are home to such excellence in nature that they attract research teams from all over the world (I was thinking of Kenya, Tanzania, Costa Rica, …)

Minor remarks:

- Keywords in the first page are different from those at page 3. I prefer the latter.

- R144: Mitigate in place of ameliorate? Sounds it better?

- R148: Movents

- R154-155: Global South and Global North should be in quotes

- R180: shown instead of showing

- R189: You can also cite Adamo et al. (2021) for plants

- R199: there is a problem with the 2019 in Ladle …

- R260: invasiveness looks like a very negative term. It should be used for alien species only. Pioneer species are not invasive.

- R262: cultural relevance instead of importance

- R298-312: several double )) and ;;

- R328: the list starts from ii) instead of i)

- R347: Bolham reference to fix

- Table2: Ungulates are mammals!

- R364: iii) instead of ii)

- R364: in the paragraph there is a weird mismatch of brackets.

-

Gonçalves, Susana C., Haelewaters, Danny, Furci, Giuliana, Mueller, Gregory M., 2021. Include all fungi in biodiversity goals. Science 373 (6553), 403-403.

Adamo, Martino, Chialva, Matteo, Calevo, Jacopo, Bertoni, Filippo, Dixon, Kingsley, Mammola, Stefano, 2021. Plant scientists’ research attention is skewed towards colourful, conspicuous and broadly distributed flowers. Nat. Plants 7 (5), 574–578.

Review: Biocultural aspects of species extinctions — R0/PR3

Conflict of interest statement

Reviewer declares none.

Comments

This paper provides an overview on how science and societies’ responses to the threat of extinction can alter the risk of a species going extinct. In doing so the paper also highlighting emerging methods for investigating cultural trends that are one of the factors determining these responses. The paper was novel in reviewing the information that is available on this understudied topic and highlighting how more information can be gathered and incorporated into existing estimates of extinction risk. Finally, this paper serves as a critique of current practices which do not explicitly incorporate social information when thinking about conservation. The issues raised in this paper should be more widely understood by people working in conservation and this paper has a lot to offer. Altogether this is a worthwhile contribution to the literature on the biocultural aspects of extinction.

However, the paper would be improved if it made clearer some of the limitations in the body of work that is being reviewed and possible limitations with the methods being advocated. Even if the new methods are very effective at understanding social trends, it was not clear to what extent social trends determinant of societal response to extinction. If there would still be a lot of uncertainty about societal response even with an understanding of trends, that should be clear in the text. Being very clear about limitations with these biocultural methods should be done if the authors are going to advocate for their widespread adoption via inclusion in metrics within the Red List.

It should also probably also be made clearer that more widespread adoption of biocultural metrics is potentially only the beginning of the conversation about how this information should be used. For example, focusing on species deemed culturally important may conflict with spending resources on improving perceptions of a species that are at risk of societal extinction. The authors do provide different ways biocultural information may be used, but there is no suggestion that different endangered species might benefit or lose out depending on how conservation organizations choose to use this information.

P6 L164-Table 1. Consider providing some other examples of assessment methods.

P7 L190-Briefly explain what “societal extinction” means.

P7 L191-Is there empirical evidence that societal and biological extinction would be “tightly linked”? For example, strategies such as conserving umbrella species could allow species that are not well known to still be biologically protected. Either provide a source or weaken the claim somewhat.

P8 L208- It is not only Indigenous People that have limited access to the global internet and whose interactions, attitudes and sentiments might affect conservation outcomes. Continue to highlight the important role of Indigenous communities, but also acknowledge that big data approaches could have limitations in other types of marginalized communities.

P8 L211-Acknowledging local people’s rights and agency in conservation management is critically important from a conservation perspective not because most biodiversity is on land owned, managed, or used by indigenous people, but presumably because acknowledging their rights and agency improves conservation outcomes. This is implied in the broader text, just reword the sentence.

P8 L217- “…(CIS) could contribute…”, does this “could” refer to CIS contributing if the method were more widely adopted, or referring to the benefits of the method not yet being completely clear?

P8 L221- If many of the CIS were data deficient, do we know they were “more likely to be culturally than biologically threatened,” or are we uncertain how biologically threatened CIS are?

P9 L266-Is this data gap only driven by researchability, as the paragraph implies, or might it also be driven by culturally important species being in countries with lower scientific capacity? It would seem the ease with which the gap might be filled would depend heavily on the driver behind it.

P9 L269-Including some older citations showing indigenous and local knowledge has been deemed essential to setting realistic biodiversity targets would help illustrate that this is a problem that has been known about but not acted upon. The very recent papers cited give the impression there may not have been the time for the benefit of any adjusted priorities to be seen, rather than implying that local knowledge is still being ignored.

P9 L270- On the sub section Institutional, technical and economic capacity to intervene: Are there general metrics of institutional capacity at the national level that could help understand the institutional, technical and economics capacity to intervene in the absence of conservation specific metrics?

P10 L298- The paragraph starting at this line is mostly talking about threats that are not acknowledged in the current red list, but at the end seems to start talking about how species that have local value should be highlighted, perhaps to give them priority. In theory, the greater threat may be to a species that does not have local value. I personally agree with advocating for taking local and indigenous culture into account when making conservation decisions, but that is a separate idea to the prediction of threats. Perhaps reorganize into separate paragraphs or reword if I am misunderstanding what was written.

P10 L310- A species may overlap with multiple cultures. Even if a downward trend in a species with local importance where acknowledged, work to conserve the species might be focused outside of its area of cultural importance. Acknowledge there may be a spatial mismatch the people who find the species important and the population that is in decline.

P10 L3210-I was unsure what “enhancing the social bases needed for conservation action” means exactly. Reword.

P11 340-Section ‘How many species have been ‘saved’ from extinction?’. The paper’s flow seemed to go from push factors, to push back factors, to changes that can be made to account for these factors and then suddenly ends on a section on the specific effects push back factors have had in preventing extinction. It was not clear why this section was not earlier in the paper after or integrated into the section on push back factors. Consider either restructuring or making it clearer what the logic behind the current structure is.

P12 L371- Fix typo “U.”

P12 L372-Add a period between “biodiversity” and “Most”

P12 L383-Do not capitalize the “T” in “Threatened”

Recommendation: Biocultural aspects of species extinctions — R0/PR4

Comments

Thank you for this contribution. I enjoyed reading this manuscript and agree with both reviewers that this could make a worthwhile addition to the literature on extinction, by highlighting what is certainly an under-studied and under-appreciated aspect of the extinction process. The reviewers have a list of major and minor suggestions for improvement, and I think it will be important to try and attend to most of these to provide a complete and well balanced review paper. Some key points from the reviews and my own reading of the manuscript are as follows:

I’m not sure I agree entirely with R1 that the introduction is long-winded – I think it does quite a good job of setting the scene. You could consider streamlining the most basic of the background material to get to the point a bit quicker, but I think its OK.

The lack of discussion of Chinese (and other) traditional medicinal uses of wildlife seems to be an obvious gap – surely this is an important driver of some of the biocultural mechanisms you discuss, and warrants more discussion?

At line 67 you say that extinction is an explicitly biocultural phenomenon, but I’m not sure that I agree with this. I’d argue that as a process, extinction is biological, and the biocultural mechanisms are part of the many different ways that anthropogenic environmental change drives the process, but are not part of the process itself. Extinction can (and does) still happen in the absence of conscious human awareness that a species is going extinct, of taxonomic decisions, or even awareness that it exists. But I’m happy to be convinced otherwise!

The concept of prioritization in making conservation decisions is implicit throughout your manuscript, but is never discussed explicitly. Given the growing trend for systematic, structured, and algorithmic decision making, it might be worth thinking about how you could integrate this with biocultural aspects. This could be relevant, for example, for your suggestions about incorporating biocultural measures into the Red List, which (as it stands) are a bit vague and under-developed. The great strength of the Red List is the simplicity, objectivity, and generality of its criteria. I think any proposals to value-add to the Red List should be prepared to live up to these standards.

Decision: Biocultural aspects of species extinctions — R0/PR5

Comments

No accompanying comment.

Author comment: Biocultural aspects of species extinctions — R1/PR6

Comments

Dear Professors Brook, Alroy and Cardillo,

Thanks for the insightful comments, recommendations, and criticisms of our article, EXT-22-0040 entitled “Biocultural aspects of species extinctions”. We thought the reviews were of a high quality and that the criticisms were fair. I have discussed all of the comments with the co-authors and we have prepared a full revision of our article. Our specific point by point responses to each of the comments/queries are given below. All of the co-authors were involved in the revision and have approved the resubmission.

With best wishes,

Richard

Richard Ladle

ERA Chair Tropical Biodiversity and Ecosystem Science, University of Porto, Portugal &

Titular Professor, Federal University of Alagoas, Brazil.

Review: Biocultural aspects of species extinctions — R1/PR7

Conflict of interest statement

Reviewer declares none.

Comments

I am satisfied with the changes made and responses to my comments. I think this is an interesting and worthwhile paper.

Review: Biocultural aspects of species extinctions — R1/PR8

Conflict of interest statement

Reviewer declares none.

Comments

Dear authors,

I have enjoyed reading this new version of the manuscript. All the points that I raised in the first revision have been corrected and integrated very well into the text. I would say that the manuscript is now ready for publication.

I have reflection about the opportunity to differentiate “Indigenous Peoples and local communities”. I understand perfectly the point behind this differentiation, but this difference is not always present (in Europe, for example, the two groups are often perfectly overlapping) and could be a starting point for reflection to improve our approach to the perception of nature.

Recommendation: Biocultural aspects of species extinctions — R1/PR9

Comments

Thank you for your revised manuscript. Both the two reviewers and myself are happy that you have adequately addressed their original concerns.

Decision: Biocultural aspects of species extinctions — R1/PR10

Comments

No accompanying comment.