2 results
Payments for environmental service’s role in landscape connectivity
- Margot A Wood, Jessica A Gilbert, Thomas E Lacher, Jr
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- Journal:
- Environmental Conservation / Volume 47 / Issue 2 / June 2020
- Published online by Cambridge University Press:
- 06 February 2020, pp. 89-96
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Creating landscapes with connectivity is vital for protecting biodiversity and meeting the environmental targets embedded in the United Nations Sustainable Development Goals, with connectivity specifically mentioned in Target 11 of the Convention on Biological Diversity Aichi Targets. Costa Rica created the National Biological Corridor Program (NBCP) in 2006 to enhance connectivity among protected areas. Targeted investments of payments for environmental services (PES) are the main tools used within the designated biological corridors. We conducted spatially explicit analyses to determine whether Costa Rica’s NBCP, using PES, enhanced landscape connectivity within the Paso de las Nubes Biological Corridor. We conducted landscape modelling in order to determine the connectivity held within PES’s properties by developing connectivity resistance surfaces and electrical current models. The results indicate that PES properties established after the NBCP contributed more to areas with intermediate values of connectivity and less to areas with high connectivity values as compared to properties before the NBCP. Although overall connectivity within the corridor has decreased since NBCP establishment, our results confirm the importance of PES properties for landscape connectivity, but emphasize the need for spatially targeted PES in order to improve viable paths of landscape connectivity among protected areas. Future targeted PES investments could contribute greatly to meeting connectivity goals.
A Sensitivity Analysis of the Application of Integrated Species Distribution Models to Mobile Species: A Case Study with the Endangered Baird’s Tapir
- Cody J Schank, Michael V Cove, Marcella J Kelly, Clayton K Nielsen, Georgina O’Farrill, Ninon Meyer, Christopher A Jordan, Jose F González-Maya, Diego J Lizcano, Ricardo Moreno, Michael Dobbins, Victor Montalvo, Juan Carlos Cruz Díaz, Gilberto Pozo Montuy, J Antonio de la Torre, Esteban Brenes-Mora, Margot A Wood, Jessica Gilbert, Walter Jetz, Jennifer A Miller
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- Journal:
- Environmental Conservation / Volume 46 / Issue 3 / September 2019
- Published online by Cambridge University Press:
- 12 June 2019, pp. 184-192
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Species distribution models (SDMs) are statistical tools used to develop continuous predictions of species occurrence. ‘Integrated SDMs’ (ISDMs) are an elaboration of this approach with potential advantages that allow for the dual use of opportunistically collected presence-only data and site-occupancy data from planned surveys. These models also account for survey bias and imperfect detection through the use of a hierarchical modelling framework that separately estimates the species–environment response and detection process. This is particularly helpful for conservation applications and predictions for rare species, where data are often limited and prediction errors may have significant management consequences. Despite this potential importance, ISDMs remain largely untested under a variety of scenarios. We performed an exploration of key modelling decisions and assumptions on an ISDM using the endangered Baird’s tapir (Tapirus bairdii) as a test species. We found that site area had the strongest effect on the magnitude of population estimates and underlying intensity surface and was driven by estimates of model intercepts. Selecting a site area that accounted for the individual movements of the species within an average home range led to population estimates that coincided with expert estimates. ISDMs that do not account for the individual movements of species will likely lead to less accurate estimates of species intensity (number of individuals per unit area) and thus overall population estimates. This bias could be severe and highly detrimental to conservation actions if uninformed ISDMs are used to estimate global populations of threatened and data-deficient species, particularly those that lack natural history and movement information. However, the ISDM was consistently the most accurate model compared to other approaches, which demonstrates the importance of this new modelling framework and the ability to combine opportunistic data with systematic survey data. Thus, we recommend researchers use ISDMs with conservative movement information when estimating population sizes of rare and data-deficient species. ISDMs could be improved by using a similar parameterization to spatial capture–recapture models that explicitly incorporate animal movement as a model parameter, which would further remove the need for spatial subsampling prior to implementation.