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Role of Adaptive Management for Watershed Councils   总被引:1,自引:0,他引:1  
Recent findings in the Umpqua River Basin in southwestern Oregon illustrate a tension in the rise of both community-based and watershed-based approaches to aquatic resource management. While community-based institutions such as watershed councils offer relief from the government control landowners dislike, community-based approaches impinge on landowners' strong belief in independence and private property rights. Watershed councils do offer the local control landowners advocate; however, institutional success hinges on watershed councils' ability to reduce bureaucracy, foster productive discussion and understanding among stakeholders, and provide financial, technical, and coordination support. Yet, to accomplish these tasks current watershed councils rely on the fiscal and technical capital of the very governmental entities that landowners distrust. Adaptive management provides a basis for addressing the apparent tension by incorporating landowners' belief in environmental resilience and acceptance of experimentation that rejects “one size fits all solutions.” Therefore community-based adaptive watershed management provides watershed councils a framework that balances landowners' independence and fear of government intrusion, acknowledges the benefits of community cooperation through watershed councils, and enables ecological assessment of landowner-preferred practices. Community-based adaptive management integrates social and ecological suitability to achieve conservation outcomes by providing landowners the flexibility to use a diverse set of conservation practices to achieve desired ecological outcomes, instead of imposing regulations or specific practices.  相似文献   
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Anthropogenic climate change is a key threat to global biodiversity. To inform strategic actions aimed at conserving biodiversity as climate changes, conservation planners need early warning of the risks faced by different species. The IUCN Red List criteria for threatened species are widely acknowledged as useful risk assessment tools for informing conservation under constraints imposed by limited data. However, doubts have been expressed about the ability of the criteria to detect risks imposed by potentially slow‐acting threats such as climate change, particularly because criteria addressing rates of population decline are assessed over time scales as short as 10 years. We used spatially explicit stochastic population models and dynamic species distribution models projected to future climates to determine how long before extinction a species would become eligible for listing as threatened based on the IUCN Red List criteria. We focused on a short‐lived frog species (Assa darlingtoni) chosen specifically to represent potential weaknesses in the criteria to allow detailed consideration of the analytical issues and to develop an approach for wider application. The criteria were more sensitive to climate change than previously anticipated; lead times between initial listing in a threatened category and predicted extinction varied from 40 to 80 years, depending on data availability. We attributed this sensitivity primarily to the ensemble properties of the criteria that assess contrasting symptoms of extinction risk. Nevertheless, we recommend the robustness of the criteria warrants further investigation across species with contrasting life histories and patterns of decline. The adequacy of these lead times for early warning depends on practicalities of environmental policy and management, bureaucratic or political inertia, and the anticipated species response times to management actions. Detección del Riesgo de Extinción a partir del Cambio Climático por medio del Criterio de la Lista Roja de la UICNKeith et al.  相似文献   
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Abstract:  Many different systems are used to assess levels of threat faced by species. Prominent ones are those used by the World Conservation Union, NatureServe, and the Florida Game and Freshwater Fish Commission (now the Florida Fish and Wildlife Conservation Commission). These systems assign taxa a threat ranking by assessing their demographic and ecological characteristics. These threat rankings support the legislative protection of species and guide the placement of conservation programs in order of priority. It is not known, however, whether these assessment systems rank species in a similar order. To resolve this issue, we assessed 55 mainly vertebrate taxa with widely differing life histories under each of these systems and determined the rank correlations among them. Moderate, significant positive correlations were seen among the threat rankings provided by the three systems (correlations 0.58–0.69). Further, the threat rankings for taxa obtained using these systems were significantly correlated to their rankings based on predicted probability of extinction within 100 years as determined by population viability analysis (correlations 0.28–0.37). The different categorization systems, then, yield related but not identical threat rankings, and these rankings are associated with predicted extinction risk.  相似文献   
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