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Soil respiration is the second largest natural flux of Carbon (C) between terrestrial ecosystems and the atmosphere, with tropical forests amongst the largest contributors to such soil-derived C effluxes. With climate change expected to drive changes in both temperature and rainfall, our ability to predict responses of the C cycle in the future hinges upon an understanding of how these factors influence soil respiration. However, these relationships remain poorly characterised across the seasonal tropics, especially South Asia. Here, for two seasonal tropical sites in the Western Ghats of India, we characterised annual, seasonal and temporal variation in soil respiration and assessed its temperature and moisture sensitivity over six years. At both sites, soil respiration was positively correlated with temperature at the instantaneous scale, but showed no relationship with temperature at seasonal or annual scales. In contrast, soil respiration showed significant relationships with rainfall and soil moisture at all temporal scales. At the annual scale, soil respiration was negatively correlated with total annual rainfall. At the seasonal scale, wet season Rs was significantly lower than in the dry season. At the instantaneous scale, Rs showed a parabolic relationship with soil moisture, where soil respiration increased with soil moisture up to ∼21 cm3cm-3 and decreased beyond that point. Our results suggest that future changes in the Indian summer monsoon, especially the frequency and intensity of extreme rainfall events, are likely to significantly impact soil respiration rates in this seasonal tropical forest.
The effects of rainfall and temperature on the seasonal phenology of ant nuptial flights in a forest locality in Ghana was studied for 42 months using a light-trap. A total of 204393 ants was caught. Of the 135 species/morphospecies collected, 40 could not be identified beyond genus, and males of a further 14 beyond subfamily. The commonest 65 species/morphospecies flew a mean of 10.1 ± 0.4 months per year. With the exception of males of Dorylus atriceps, Platythyrea conradti, Plat. modesta, Crematogaster nr striatula plus gynes of Plagiolepis brunni and Cr. [F257], whose peak flights occurred in the main dry season, flight activity coincided with the onset of the rainy seasons. Both sexes of Pheidole megacephala, P. speculifera, Tetramorium aculeatum, and Paraparatrechina albipes plus gynes of Cr. striatula and males of Anochetus africanus, Hypoponera dulcis, Cr. kneri, and T. guineensis flew more frequently on rainy than dry dates. Nineteen species were caught more frequently on dry than on wet dates including most Camponotus, Tapinoma, and Technomyrmex spp. Fifteen species/morphospecies responded positively to increasing monthly rainfall, six to increasing monthly temperatures, and five to the interaction between these factors, with males of A. pellucidus, H. dulcis, and Cr. striatula caught more frequently in wetter, warmer months, and those of Camponotus olivieri and Technomyrmex andrei in drier, warmer ones.
In utero exposure to income shocks has a lasting effect on child well-being. In an agricultural economy, fluctuations in rainfall directly affect household income. In this paper, we investigate the short- and long-run impact of pre-pregnancy, prenatal, and early-life exposure to fluctuations in rainfall on height for a sample of 2290 children in rural Pakistan. Given the widespread canal irrigation system prevalent in the country, we also investigate how fluctuations in river water flows affect child health. We find that fluctuations in rainfall during the pre-pregnancy period have the most lasting effects on the stature of children in the short and long run. Exposure of a mother to a 1 standard deviation reduction in rainfall during the pre-pregnancy period led her child to be 0.17 standard deviations (0.53 cm) shorter by age four. This negative impact of a pre-pregnancy rainfall shock on height persisted over time; the child continued to be 0.12 standard deviations (0.83 cm) shorter, on average, by 13 years of age. However, we find that the effect of pre-pregnancy rainfall fluctuations on children’s height is smaller in districts that have access to irrigation facilities.
Kitui is a semi-arid and sparsely populated rural county, where low and unreliable rains create water insecurities for fragile cropping and livestock systems. Searching for and fetching water continue to dominate the daily lives of women and children, with households using around four different sources in a year. Rains drive a sharp shift in source choice from groundwater-based handpumps and piped schemes to free surface water sources, risking ill health. This, in turn, decrease revenues for water service providers, jeopardising operation and maintenance services in wet seasons. The Water Diaries reveal different expenditure groups, from those that incur no expenses throughout the year to those that pay more than 10 per cent of their annual expenditures for water. Yet daily consumption remains at only 20 litres per person. Donor investments in water security are fragile and fleeting with devolution transferring a legacy of past failures to newly elected county governments. The results of a professional service delivery model have illustrated how the government and donors can guarantee reliable drinking water services at lower costs, though action and uptake are slow. While hydroclimatic conditions are harsh, weak governance and opaque accountability compound challenges and waste investments.
Despite the contrasts in history and hydroclimatic contexts, the water diaries of Bangladeshis and Kenyans reveal similar daily practices. Rains stand out as the most defining driver of water source choice. Rural populations in Khulna and Kitui shift to rainwater when available, whether harvested in containers from their own roof catchments or in rocks and dams. Whether in sarees or sarongs, in kolshis stacked on the waist or jerrycans balanced on the head, women are the primary drawers of water. When water needs to be transported via motorcycles or boats, a well is dug or a community tube well is installed, men come onto the scene. Individual practices are shaped by institutional behaviours and the quality of water governance. Regulation is missing or ineffective for rural drinking water services in Kitui and Khulna, while non-compliance is normalised in case of urban water pollution in Dhaka and unreliable piped supply in Lodwar. Our findings propose that policy and practice focus more attention on the interactions between rainfall and water use behaviours in a changing climate, and the need for better information on water risks for institutional accountability and sustainable finance. We finally chart where change is happening to improve water security in Bangladesh and the opportunities that exist in Kenya.
Regional warming rates experienced in the Antarctic Peninsula since the mid-twentieth century, linked to global climate change, have been amongst the world's fastest. The majority of studies of change in this region have focused on temperature, and while precipitation is also predicted to change (both in form and quantity) in the models, fewer studies have set out to document and test this prediction. In this study, we examined trends in research publications on precipitation variability over the Antarctic Peninsula from 1990 to 2023 using the Web of Science Core Collection database. A total of 86 relevant papers were retained and used to identify patterns in scientific outputs. VOSviewer and Bibliometrix software packages were used to illustrate the subject content of and trends in publications retrieved by key word analysis. Our findings revealed a positive trend in the number of papers published by year. Within the analysed period, research on precipitation variability in the Antarctic Peninsula region was initiated by a study of Turner and colleagues from 1997. The UK and US research communities were the two largest contributors to this field of Antarctic research globally, with their researchers also holding strong positions within international collaborative networks.
This handbook provides a comprehensive, practical, and independent guide to all aspects of making weather observations. The second edition has been fully updated throughout with new material, new instruments and technologies, and the latest reference and research materials. Traditional and modern weather instruments are covered, including how best to choose and to site a weather station, how to get the best out of your equipment, how to store and analyse your records and how to share your observations. The book's emphasis is on modern electronic instruments and automatic weather stations. It provides advice on replacing 'traditional' mercury-based thermometers and barometers with modern digital sensors, following implementation of the UN Minamata Convention outlawing mercury in the environment. The Weather Observer's Handbook will again prove to be an invaluable resource for both amateur observers choosing their first weather instruments and professional observers looking for a comprehensive and up-to-date guide.
Instrument calibrations are both one of the most important, and yet sometimes one of the most neglected, areas of weather measurement. This chapter describes straightforward methods to check and adjust calibrations for the most common meteorological instruments – precipitation (rainfall), temperature, humidity and air pressure sensors. To reduce uncertainty in the measurements themselves, meteorological instruments need to be accurately calibrated, or at least regularly compared against instruments of known calibration to quantify and adjust for any differences, or error. Calibrations can and do drift over time, and therefore instrumental calibrations should be checked regularly, and adjusted if necessary.
There are enormous differences in functionality and capability between basic and advanced weather stations. This chapter outlines typical system specifications within broad capability and budget boundaries. When used with the prioritized assessments of functionality from the previous chapter, it will provide clearer guidance regarding the main brands, products and suppliers within the automatic weather station sectors.
In order to provide representative measurements of precipitation (rainfall, snow and hail, drizzle, sleet and so on), measuring devices must be deployed in suitable locations or sites and the instruments themselves exposed to the weather conditions they are intended to measure in a standardised manner. This chapter sets out what those standardised conditions of site and exposure are for measurements of precipitation, following the guidelines laid down by the World Meteorological Organization in the so-called CIMO guide (Commission for Instruments and Methods of Observation). Both manual and automated (recording) raingauge measurements are covered in detail, including tipping bucket, ground flush or pit gauges and weighing gauges, together with methods to decrease losses due to wind. Snowfall measurement methods are also covered.
There are many different varieties of automatic weather stations (AWSs) available, and a huge range of different applications for them. This chapter suggests a structured approach to specifying AWS features to meet any particular requirement, provides a short guide to AWS products and services available (from consumer brands to sophisticated professional systems capable of unattended operation in remote areas) and offers guidance in selecting one or more options from the multiplicity of product offerings on the market.
Estimating the population parameters, performance and factors that influence reproduction from long-term, individual-based monitoring data is the gold standard for effective wildlife management and conservation. Yet this information is often difficult and costly to collect or inaccessible to managers. We synthesized a 20-year set of individual-based monitoring data from a subset of black rhinoceros Diceros bicornis subpopulations across a range of environmental conditions in Namibia. Our findings demonstrate that despite the relatively arid landscape in Namibia, the black rhinoceros metapopulation is performing well, measured by age at first reproduction, inter-birth interval, population growth and survivorship. Information-theoretic modelling revealed that a univariate model including normalized differential vegetative index had a greater influence upon age at first reproduction than population density. The inter-birth interval model set identified cumulative rainfall during the 15 months prior to the birth month as the top model, although the mean normalized differential vegetative index during the inter-birth interval was comparable. There was little evidence for density-dependence effects on reproduction. These findings suggest that although browse quality could have a greater impact on parameters spanning multiple years, shorter-term parameters could be more influenced by rainfall. Our analysis also revealed a synchronous pattern of conceptions occurring in the rainy season. Our study provides a set of population parameter estimates for Namibian black rhinoceros subpopulations and preliminary insights on factors driving their reproduction. These expand our collective knowledge of global black rhinoceros population dynamics and improve our confidence and capability to adaptively manage the black rhinoceros metapopulation of Namibia.
As the hydrologic cycle is driven by it, precipitation must be considered its main component: without precipitation, there is also not much of a hydrologic cycle. Precipitation naturally follows supersaturation of the air, usually as a result of cooling. One of the most effective ways of cooling occurs through lifting of the air mass, often involving a cyclonic motion. Most precipitation weather systems can be classified according to their type of cyclonic motion. For many hydrologic applications it is necessary to consider not only the spatial but also the temporal distribution of the precipitation, and many procedures are available for this purpose. The part of precipitation that moistens the surface elements, and is temporarily stored on them, is referred to as interception; often also called interception loss, it can amount to as much as 30 to 40% of the precipitation in dense forests. Detailed energy-budget considerations show that snow melt is mainly driven by the air temperature above freezing. Most past records of precipitation suffer from substantial systematic error. The main factor is wind. Different measurement techniques have been proposed to solve this problem.
Planting trees to increase rain was the grand climate controversy of the nineteenth century. Some European scientists with diverse backgrounds in physics, meteorology, forests, and soils developed a new science of forest meteorology that blended meteorology, forest ecology, and forest hydrology. They sought answers in direct measurement of forest influences on climate and installed meteorological observatories in forested and open lands to obtain the necessary data. They explained forest influences in the laws of physics, fused with interdisciplinary knowledge of meteorology, forest hydrology, and forest ecology, and gathered the data to further their theories. It was an understanding based on observations of microclimates, but upon which was layered a dynamical framework applicable to macroclimates. Many of the findings have withstood the test of time, and the questions posed are still relevant to today’s scientists.
The period from the mid-nineteenth century to the end of the century saw heightened interest in the harmful effects of deforestation on rain. There was growing fear that deforestation was turning prosperous lands into deserts, accompanied by efforts to conserve remaining forests or replant denuded lands. In India, Australia, New Zealand, South Africa, Russia, and the United States, the cry was raised: forests must be protected and managed for rain. These efforts followed prior concern in France and British island possessions. In this, forest conservationists advanced a need for government control of forests and used forest influences on rainfall as justification. Opponents, in turn, attacked the premise of forest influences on rainfall and decried the lack of evidence for climate deterioration. The ensuing debate was a narrative of misunderstanding, misuse of data, and hyperbole. It is this aspect of the forest–climate question, the so-called desiccation theory and its misuse to achieve policy goals, that has formed the historiography of the controversy, but beneath the rhetoric is found a fledgling knowledge of forest influences on climate that can be seen in today’s science.
Counter to the science of forest meteorology, prominent meteorologists in the United States held that climate was unchanged despite more than two centuries of forest clearing. In examining patterns of temperature and precipitation, they could not find a signal of forest influences, and their theories of large-scale atmospheric dynamics, likewise, did not accommodate forests. It was this idea that American meteorologists embraced as the forest-rainfall controversy exploded onto the public consciousness. Finding no evidence of climate change where there had been deforestation, they dismissed the idea that forests influence climate. Their voices prevailed, but the dismissal of forest influences proved to be too rigid. The science rose again in the latter half of the twentieth century as atmospheric scientists considered anthropogenic climate change. In developing their theories and mathematical models of climate, these scientists discovered that they needed to account for forests and other vegetation. The science of forest-climate influences, so resoundingly rejected at the turn of the twentieth century, has now been reinvented as forests are again seen as a means to improve climate.
Another long-standing convention links forests with rainfall. The plentiful rainfall in the Americas was associated with the thick forests, and deforestation was thought to reduce rain. A similar belief unfolded elsewhere in the world, and conservationists reframed the forest-climate question from one of deforesting the land to make a more temperate climate to one of preserving forests and planting trees to protect the supply of water. In rainfall, conservationists found a way to convey the environmental destruction wrought by deforestation. The scientific basis for forest influences on rain was found in new knowledge of stomata, transpiration, and photosynthesis. Eighteenth- and nineteenth-century naturalists sought further evidence for changes in rainfall in the flow of water in streams and rivers. Interception of rainwater by the leaves in forest canopies, infiltration into the soil, runoff over the ground, and evaporation from the soil were identified as key determinants of streamflow. A backlash arose, however, as the nineteenth century lengthened and the advocacy of forests galvanized into a worldwide campaign for forest conservation and tree planting to enhance rainfall.
For centuries, people have understood that forests, and our utilisation of them, influence the climate. With modern environmental concerns, there is now scientific, governmental, and popular interest in planting trees for climate protection. This book examines the historical origins of the idea that forests influence climate, the bitter controversy that ended the science, and its modern rebirth. Spanning the 1500s to the present, it provides a broad perspective across the physical and biological sciences, as well as the humanities, to explain the many ways forests influence climate. It describes their use in climate-smart forestry and as a natural climate solution, and demonstrates that in the forest–climate question, human and sylvan fates are linked. Accessibly written with minimal mathematics, it is ideal for students in environmental and related sciences, as well as anyone with an interest in understanding the environmental workings of forests and their interactions with climate.
Insights on the indirect effects of the COVID-19 pandemic are critical for designing and implementing policies to alleviate the food security burden it may have caused, and for bolstering rural communities against similar macroeconomic shocks in the future. Yet estimating the causal effects of the pandemic is difficult due to its ubiquitous nature and entanglement with other shocks. In this descriptive study, we combine high-resolution satellite imagery to control for plot-level rainfall with household socio-economic panel data from 2014, 2016, 2019 and 2020, to differentiate the effect of the pandemic from climatic shocks on food security in Morogoro, Tanzania. We find evidence of decreased incomes, increased prices of staple foods, and increased food insecurity in 2020 relative to previous years, and link these changes to the pandemic by asking households about their perceptions of COVID-19. Respondents overwhelmingly attribute economic hardships to the pandemic, with perceived impacts differing by asset level.
Nest predators use visual, acoustic and chemical cues to locate nests. In the Neotropics, predation is high being the main cause of nest failure. Despite that, it is still not completely clear what kind of information predators are using to find nests or whether predators respond differently according to habitat characteristics. Here, we executed an experimental manipulation to investigate how different ecological factors influence nest predation probability. We hypothesised that egg conspicuousness, nest clustering and a more open vegetation structure would increase nest predation probability, and that nest predation would be higher during the breeding season of most avian species in the region. We used artificial nests baited with plasticine and quail eggs (Coturnix coturnix), manipulated egg coloration and nest density. Artificial nests were distributed over forest and savanna-like vegetations. Overall predation rate was 40.9%. We found that nests baited with conspicuous eggs, located in open habitats, at higher densities and during the dry period were more predated. Results suggest that main predators must be visually orientated, and that egg crypsis is an important trait for open-nest species in the area. Moreover, a higher nest density may affect predator behaviour, favouring an increase in nest searching, which may be facilitated in open habitats.