A Multicriteria Assessment of the Irreplaceability and Vulnerability of Sites in the Greater Yellowstone Ecosystem

By R. Noss, C. Carroll, K. Vance‐Borland, G. Wuerthner. 2002

302 citations recorded by the source corpus.

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Citations in the corpus

Farmers' willingness to provide ecosystem services and effects of their spatial distribution (2013, background): “Conservation opportunities and the probability of success of conservation investments are influenced by numerous socio-political factors, including political stability and corruption; budget continuity; governance; and stakeholder willingness to be involved in conservation initiatives (Barrett et al”
Informed opportunism for conservation planning in the Solomon Islands (2011, background): “An alternative to trying to predict the distribution of conservation opportunities is for systematic conservation planning to be used more dynamically to assess and guide conservation opportunities as they arise; a sort of informed opportunism (Noss et al. 2002).”
Utility and limitations of species richness metrics for conservation planning (2006, methodology): “For example, methods have been formulated to prioritize hotspots by incorporating explicit information on the vulnerability of particular locations to biodiversity loss, our ability to manage threats, and whether locations will accommodate ecological and evolutionary processes necessary to maintain ”
The Last Mile: How to Sustain Long‐Distance Migration in Mammals (2004, methodology): “Of 57 populations representing 17 species, the 5 with the extreme LDMs rely on lands within or adjacent to the Greater Yellowstone Ecosystem (GYE) (Fig.”
USE OF POPULATION VIABILITY ANALYSIS AND RESERVE SELECTION ALGORITHMS IN REGIONAL CONSERVATION PLANS (2003, methodology): “Separate static models for fecundity and mortality risk were derived from the conceptual models for grizzly bear and wolf (Noss et al. 2002, Carroll et al. 2003); see Table 1.”
SEASONAL AND DIEL PATTERNS OF GRIZZLY BEAR DIET AND ACTIVITY IN WEST-CENTRAL ALBERTA (2006, background): “Given such vulnerabilities and large area requirements, grizzly bears have been considered a focal or flagship species for conservation planning (Carroll et al. 2001; Noss et al. 1996, 2002).”
Extinction Debt of Protected Areas in Developing Landscapes (2004, background): “Even the Greater Yellowstone Ecosystem (GYE), which is among the world’s largest protectedarea complexes, is vulnerable to the effects of fragmentation by development because high-productivity habitat there is generally unprotected (Hansen & Rotella 2002; Noss et al. 2002).”
Identification of Priority Areas for Grizzly Bear Conservation and Recovery in Alberta, Canada (2009, methodology): “We used the summed solution method (number of times each planning unit was selected out of 300) to quantify irreplaceability of planning units (Ball and Possingham 2000, Noss et al. 2002).”
Designing, implementing and managing marine protected areas: emerging trends and opportunities for coral reef nations (2011, background): “As the process of planning and implementation progresses, managers can continually re-evaluate how community MPAs are contributing to community and regional goals, and take appropriate action to fill gaps, a process dubbed “informed opportunism” (Noss et al., 2002).”
Ecological mechanisms linking protected areas to surrounding lands. (2007, background): “The Greater Yellowstone Ecosystem, including Yellowstone National Park, was defined largely by gradients in topography, climate, and soils, and the resulting movement of wildfire and organisms (Keiter and Boyce 1991, Hansen et al. 2002, Noss et al. 2002).”
Measuring and Incorporating Vulnerability into Conservation Planning (2005, unknown): “The more vulnerable areas might receive higher priority, especially if there are few or no 528 alternative areas available to protect the features they contain (Pressey and Taffs 2001, Noss and others 2002, Lawler and others 2003).”
Identifying spatial components of ecological and evolutionary processes for regional conservation planning in the Cape Floristic Region, South Africa (2003, background): “…ability to move between conservation areas through different matrix conditions, and response to human disturbance and infrastructure, all informed by natural history observations as well as population viability analysis and metapopulation modelling (Hanski & Ovaskainen, 2000; Noss et al., 2002).”