Measuring and Incorporating Vulnerability into Conservation Planning

By K. Wilson, R. Pressey, Adrian C. Newton, Mark A. Burgman, Hugh P. Possingham, C. Weston. Environmental Management, 2005

320 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/21fb122bd58c32ccdf44542db0ea831f0fe19ba8

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In Ecological Modeling

In Ecology

In Nature and Landscape Conservation

Citations in the corpus

Locking in loss: Baselines of decline in Australian biodiversity offset policies (2015, background): “For example, the expected benefit from gazetting a new protected area implicitly assumes some probability that biodiversity in that location would ultimately be lost in absence of protection (Wilson et al., 2005).”
A comparison of threats, vulnerabilities and management approaches in global seagrass bioregions (2012, background): “However, information on how multiple activities impact on seagrass habitats and species are rarely available, especially at broad spatial scales such as for global bioregions (Wilson et al 2005).”
Conservation planning and the IUCN Red List (2008, background): “Wilson et al. (2005) categorized these into 4 groups based on types of data used: tenure and land use; environmental or spatial variables; threatened species data; and expert opinion.”
Evaluating and Ranking the Vulnerability of Global Marine Ecosystems to Anthropogenic Threats (2007, methodology): “Wilson et al. (2005) reviewed and synthesized various methods for assessing ecosystem vulnerability.”
Ecological mechanisms linking protected areas to surrounding lands. (2007, background): “Vulnerability of protected areas to surrounding land use With limited resources for conservation, it is necessary to identify which protected areas are most vulnerable to land use change so that mitigation strategies can be focused on these areas (Wilson et al. 2005).”
Modeling the Geographical Distribution and Fundamental Niches of Cacajao spp. and Chiropotes israelita in Northwestern Amazonia via a Maximum Entropy Algorithm (2009, background): “, local and federal governments, nongovernmental organizations (NGOs), with scientifically sound data to create more protected biodiversity areas (Cabeza et al. 2004; OrtegaHuerta and Peterson 2004; Wilson et al. 2005).”
Core concepts of spatial prioritisation in systematic conservation planning (2012, background): “Threats can originate from different societal, economic, demographic, technological, political, or cultural pressures (Lambin et al., 2001; Wilson et al., 2005b).”
Conservation planning in a changing world. (2007, background): “Conservation areas are effective responses to many, but not all [ 7 ], proximate threats.”
Diminishing return on investment for biodiversity data in conservation planning (2008, background): “2007); the impact and severity of threatening processes (Wilson et al. 2005); and the social, economic, political, and human circumstances that shape the context for conservation planning (Knight et al.”
Interactions between climate and habitat loss effects on biodiversity: a systematic review and meta‐analysis (2012, background): “On a global scale, many species have been or are expected to shift their ranges to higher latitudes: from the tropics to the poles (Hickling et al., 2005, 2006; Wilson et al., 2005).”
Setting Conservation Priorities (2009, background): “We need to understand the threats to biodiversity in order to evaluate the risk of losing species or habitats if no conservation action is taken; that is, the vulnerability of different locations and/or assets (Wilson et al. 2005).”