Nomadic pastoralism has thrived in Asia's rangelands for several millennia by tracking seasonal changes in forage productivity and coping with a harsh climate. This pastoralist lifestyle, however, has come under intense transformations in recent decades due to socio-political and land use changes. One example is of the high-altitude trans-Himalayan rangelands of the Jammu and Kashmir State in northern India: major socio-political reorganisation over the last five decades has significantly impacted the traditional pasture use pattern and resources. We outline the organizational transformations and movement patterns of the Rupshu pastoralists who inhabit the region. We demonstrate the changes in terms of intensification of pasture use across the region as well as a social reorganisation due to accommodation of Tibetan refugees following the Sino-Indian war in 1961 to 1962. We focus in particular on the Tso Kar basin - an important socio-ecological system of livestock herding and biodiversity in the eastern Ladakh region. The post-war developmental policies of the government have contributed to these modifications in traditional pasture use and present a threat to the rangelands as well as to the local biodiversity. In the Tso Kar basin, the number of households and livestock has almost doubled while pasture area has declined by half. These changes have potentially negative consequences for the long-term resilience of nomadic pastoralism as well as for the survival of rare local wildlife. To increase the pastoralist standard of living, having fewer pastoralists may be the only solution, and alternative livelihood options may bring this about. Development programmes should concentrate on enhancing opportunities for herders so that there is a greater diversity of employment opportunities and potentially better chances for the persistence of biodiversity.
Nomadic pastoralism has thrived in Asia's rangelands for several millennia by tracking seasonal changes in forage productivity and coping with a harsh climate. This pastoralist lifestyle, however, has come under intense transformations in recent decades due to socio-political and land use changes. One example is of the high-altitude trans-Himalayan rangelands of the Jammu and Kashmir State in northern India: major socio-political reorganisation over the last five decades has significantly impacted the traditional pasture use pattern and resources. We outline the organizational transformations and movement patterns of the Rupshu pastoralists who inhabit the region. We demonstrate the changes in terms of intensification of pasture use across the region as well as a social reorganisation due to accommodation of Tibetan refugees following the Sino-Indian war in 1961 to 1962. We focus in particular on the Tso Kar basin - an important socio-ecological system of livestock herding and biodiversity in the eastern Ladakh region. The post-war developmental policies of the government have contributed to these modifications in traditional pasture use and present a threat to the rangelands as well as to the local biodiversity. In the Tso Kar basin, the number of households and livestock has almost doubled while pasture area has declined by half. These changes have potentially negative consequences for the long-term resilience of nomadic pastoralism as well as for the survival of rare local wildlife. To increase the pastoralist standard of living, having fewer pastoralists may be the only solution, and alternative livelihood options may bring this about. Development programmes should concentrate on enhancing opportunities for herders so that there is a greater diversity of employment opportunities and potentially better chances for the persistence of biodiversity.
To ensure economic viability over time, any efforts to meet the Millennium Development Goals need to reconcile conservation with development interventions. Particularly, in marginal and risk prone areas erosion of resilience could make production systems more susceptible to environmental risks that compromise the economic security. By longitudinal analyses of long-term data records we investigated the impacts of big push policies on Saami pastoral ecosystems in Arctic Norway. The big push was accompanied by reindeer herd accumulation and a corresponding degradation of resilience, increasing the susceptibility to herd losses to predators and adverse winters. For the last 20 years the Norwegian government has worked to halt degradation of pasture ecosystems and reduce susceptibility to environmental risks. These intended win-win policies have mainly been based on economic incentives, which have been developed together with Saami pastoralists through negotiated agreements. We argue that the continued degradation of the Saami pastoral ecosystems is a "ghost of the development past", as the big push policies have resulted in an economic security trap (EST). The gradual reduction of resilience has persisted as the ex post payments of disaster relief and predator compensation have impeded the long-term actions to reduce susceptibility to environmental risks, i.e., ex ante policies, thereby increasing dependency on elevated economic inputs to manage the risks. The transfer of liability for managing risks to the benefactor, both through ex ante and ex post policies, has further discouraged and constrained opportunities for adaptation by the pastoralists.
Long-term data are critically important to science, management, and policy formation. Here we describe a number of data collections from arctic Canada that monitor vertebrate population trends of freshwater and marine fish, marine birds, marine and terrestrial mammals. These time series data cover the last ca. 30 years and capture a period from the onset of global changes affecting the Arctic up to recent years with a rapid increase in temperature. While many of these data collections were initiated through a variety of government and university programs, they also include a surge in polar research launched with the recent International Polar Year (2007–2008). We estimated the long-term vertebrate index from our data that summarizes various taxa abundance trends within a global context and observed a continuous decline of about 30 % in population abundance since the 1990s. Though most data collections are biased towards few taxa, we conduct time-series analyses to show that the potential value of long-term data emerges as individual monitoring sites can be spread across space and time scales. Despite covering a handful of populations, the different time series data covered a large spectrum of dynamics, cyclic to non-cyclic, including coherence with the North Atlantic Oscillation, lag effects, and density dependence. We describe a synthesis framework to integrate ecological time-series research and thereby derive additional benefits to management, science, and policy. Future requirements include: (1) continuation of current observation systems; (2) expansion of current monitoring sites to include additional trophic links and taxonomic indicators; (3) expansion beyond the existing program to include greater spatial coverage into less-sampled ecosystems and key representative locations; and (4) integration of circumpolar observations and comprehensive analyses. Development of a circumpolar observation system is necessary for innovative science, large-scale adaptive management, and policy revision essential to ...
The magnitude and urgency of the biodiversity crisis is widely recognized within scientific and political organizations. However, a lack of integrated measures for biodiversity has greatly constrained the national and international response to the biodiversity crisis. Thus, integrated biodiversity indexes will greatly facilitate information transfer from science toward other areas of human society. The Nature Index framework samples scientific information on biodiversity from a variety of sources, synthesizes this information, and then transmits it in a simplified form to environmental managers, policymakers, and the public. The Nature Index optimizes information use by incorporating expert judgment, monitoring-based estimates, and model-based estimates. The index relies on a network of scientific experts, each of whom is responsible for one or more biodiversity indicators. The resulting set of indicators is supposed to represent the best available knowledge on the state of biodiversity and ecosystems in any given area. The value of each indicator is scaled relative to a reference state, i.e., a predicted value assessed by each expert for a hypothetical undisturbed or sustainably managed ecosystem. Scaled indicator values can be aggregated or disaggregated over different axes representing spatiotemporal dimensions or thematic groups. A range of scaling models can be applied to allow for different ways of interpreting the reference states, e.g., optimal situations or minimum sustainable levels. Statistical testing for differences in space or time can be implemented using Monte-Carlo simulations. This study presents the Nature Index framework and details its implementation in Norway. The results suggest that the framework is a functional, efficient, and pragmatic approach for gathering and synthesizing scientific knowledge on the state of biodiversity in any marine or terrestrial ecosystem and has general applicability worldwide.
The composition of local mammalian carnivore communities has far-reaching effects on terrestrial ecosystems worldwide. To better understand how carnivore communities are structured, we analysed camera trap data for 108087 trap days across 12 countries spanning five continents. We estimate local probabilities of co-occurrence among 768 species pairs from the order Carnivora and evaluate how shared ecological traits correlate with probabilities of co-occurrence. Within individual study areas, species pairs co-occurred more frequently than expected at random. Co-occurrence probabilities were greatest for species pairs that shared ecological traits including similar body size, temporal activity pattern and diet. However, co-occurrence decreased as compared to other species pairs when the pair included a large-bodied carnivore. Our results suggest that a combination of shared traits and top-down regulation by large carnivores shape local carnivore communities globally. ; Ministry of Environment, Water, Forest and Tourism and Wildlife Conservation Society in Madagascar; Department of National Parks and United States Agency for International Development/Wula Nafaa Project in SenegalUnited States Agency for International Development (USAID); Cederberg Conservancy and Cape-Nature in South Africa; US Forest ServiceUnited States Department of Agriculture (USDA)United States Forest Service; Belize Forest Department; Belize Audubon Society; Programme for Belize; Las Cuevas Research Station; Bull Run Farm; Gallon Jug Estate; Yalbac Ranch and Cattle Company; NSF LTREB Grant [1556248]; Ministry of Ecology and Natural Resources of Misiones; National Park Administration of Argentina; Ledesma S.A.; Arauco SA; Department of National conduct surveys in Chitwan National Park; WWF Networks; US Fish & Wildlife ServiceUS Fish & Wildlife Service; Hurvis Family; WWF Team; Directorate for Nature Management; Norwegian Research CouncilResearch Council of Norway; Department of National conduct surveys in Indonesia ; We thank the Ministry of the Environment, Wildlife and Tourism, the Department of Wildlife and National Parks, and the Botswana Predator Conservation Trust for permission to conduct the study in Botswana; the Ministry of Environment, Water, Forest and Tourism and Wildlife Conservation Society in Madagascar; the Department of National Parks and United States Agency for International Development/Wula Nafaa Project in Senegal; and The Cederberg Conservancy and Cape-Nature in South Africa for permission and/or supporting the research in Africa. We thank Parks Canada staff and volunteers for collecting data in Canada, the US Forest Service for financing and collecting data in the USA along with volunteers from the Student Conservation Association, and the Belize Forest Department, Belize Audubon Society, Programme for Belize, Las Cuevas Research Station, Bull Run Farm, Gallon Jug Estate, and Yalbac Ranch and Cattle Company for permission and support in conducting research in Belize. Funding for camera trap surveys in Canada was provided in part by NSF LTREB Grant 1556248. We thank the Ministry of Ecology and Natural Resources of Misiones, the National Park Administration of Argentina, Ledesma S.A. and Arauco SA for permissions and support to conduct camera trap surveys. We thank the Iran Department of Environment for permission to work within the reserves in Iran, Department of National conduct surveys in Chitwan National Park, and in Indonesia, WWF Networks, US Fish & Wildlife Service and the Hurvis Family for financially supporting the research, the Indonesian Ministry of Forestry for permission to conduct the study, and the WWF Team for their support. We also thank the Directorate for Nature Management and The Norwegian Research Council for financing camera trap surveys in Norway. ; Public domain authored by a U.S. government employee
Aim: Biodiversity loss is a major driver of ecosystem change, yet the ecological data required to detect and mitigate losses are often lacking. Recently, camera trap surveys have been suggested as a method for sampling local wildlife communities, because these observations can be collated into a global monitoring network. To demonstrate the potential of camera traps for global monitoring, we assembled data from multiple local camera trap surveys to evaluate the interchange between fine- and broad-scale processes impacting mammalian carnivore communities. Location: Argentina, Belize, Botswana, Canada, Indonesia, Iran, Madagascar, Nepal, Norway, Senegal, South Africa, and the U.S.A. Methods: We gathered camera trap data, totalling >100,000 trap nights, from across five continents. To analyse local and species-specific responses to anthropogenic and environmental variables, we fitted multispecies occurrence models to each study area. To analyse global-level responses, we then fitted a multispecies, multi-area occurrence model. Results: We recorded 4,805 detections of 96 mammalian carnivore species photographed across 1,714 camera stations located in 12 countries. At the global level, our models revealed that carnivore richness and occupancy within study areas was positively associated with prey availability. Occupancy within study areas also tended to increase with greater protection and greater distances to roads. The strength of these relationships, however, differed among countries. Main conclusions: We developed a research framework for leveraging global camera trap data to evaluate patterns of mammalian carnivore occurrence and richness across multiple spatial scales. Our research highlights the importance of intact prey populations and protected areas in conserving carnivore communities. Our research also highlights the potential of camera traps for monitoring wildlife communities and provides a case study for how this can be achieved on a global scale. We encourage greater integration and standardization among camera trap studies worldwide, which would help inform effective conservation planning for wildlife populations both locally and globally. ; Ministry of the Environment, Wildlife and Tourism; Department of Wildlife and National Parks; Botswana Predator Conservation Trust in Botswana; Ministry of Environment, Water, Forest and Tourism; Wildlife Conservation Society in Madagascar; Department of National Parks; United States Agency for International Development/Wula Nafaa Project in SenegalUnited States Agency for International Development (USAID); Cederberg Conservancy and CapeNature in South Africa; National Science FoundationNational Science Foundation (NSF) [1556248]; Pacific Southwest Region of the U.S. Forest Service; Sierra and Sequoia National Forests; Ministry of Ecology and Natural Resources of Misiones; National Parks Administration of Argentina; Fundacion Proyungas; Ledesma S.A.; ARAUCO Argentina S.A.; World Wildlife Fund Networks, U.S. Fish & Wildlife Service and the Hurvis Family; World Wildlife Fund Team; Directorate for Nature Management; Norwegian Research CouncilResearch Council of Norway ; We thank the Ministry of the Environment, Wildlife and Tourism, the Department of Wildlife and National Parks and the Botswana Predator Conservation Trust in Botswana; the Ministry of Environment, Water, Forest and Tourism and Wildlife Conservation Society in Madagascar; the Department of National Parks and United States Agency for International Development/Wula Nafaa Project in Senegal; and The Cederberg Conservancy and CapeNature in South Africa for permission and/or supporting the research in Africa. In North America, we thank Parks Canada staff for collecting data in Canada and the National Science Foundation for funding part of this project (Long Term Research In Environmental Biology Grant 1556248); the Pacific Southwest Region of the U.S. Forest Service and the Sierra and Sequoia National Forests for supporting research in the U.S. A.; and in Belize, we thank the Forest Department, Programme for Belize, Las Cuevas Research Station, Bull Run Farm, Belize Audubon Society, Wildtracks, Gallon Jug Estate and Yalbac Ranch. In South America, we thank the Ministry of Ecology and Natural Resources of Misiones, the National Parks Administration of Argentina, Fundacion Proyungas, Ledesma S.A. and ARAUCO Argentina S.A. for permissions and support to conduct camera trap surveys. In Asia, we thank the Iran Department of Environment for permission to work within the reserves in Iran, the World Wildlife Fund, the National Trust for Nature Conservation, Chitwan National Park and Department of National Parks and Wildlife Conservation for permission and support to survey in Nepal; and in Indonesia, World Wildlife Fund Networks, U.S. Fish & Wildlife Service and the Hurvis Family for financially supporting the research, the Indonesian Ministry of Forestry for permission to conduct the study, and the World Wildlife Fund Team for all their support. Lastly, in Europe we thank the Directorate for Nature Management and The Norwegian Research Council for financing the camera trap data collected in Norway. Thank you to H. S. Robinson for help during the planning stages of the manuscript. ; Public domain authored by a U.S. government employee
