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Applied to ecosystems, the principle of complementarity ensures ecosystem representation.
Regions of high beta-diversity allow ecosystem representation to be achieved with relative efficiency (Spector 2002).
There are several quantitative advantages to assessing ecosystem representation using the approach introduced in this paper.
Recent work by [109] for Sumatra provides a useful model to evaluate ecosystem representation.
Ecosystem representation is one key component in assessing the biodiversity impacts of land-use changes that will irrevocably alter natural ecosystems.
In part, our approach addressed the applicant's awareness that the current national-scale land-cover and vegetation maps were inadequate to assess ecosystem representation.
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In an intensively managed region of New Brunswick, Canada, we conducted an ecosystem-based representation assessment and prioritised the unprotected elements with a combined biological and socio-economic ranking criteria.
A management plan for a large ecosystem that includes representation of all possible combinations of physical environments and biological communities increases the chances that, regardless of the climatic change that occurs, somewhere in the system there will be areas that provide a source for recovery.
Rapport et al. (1998a) provide the clearest representation of ecosystem health as 'changed ecosystem structure and function', using examples of 'decreased biodiversity and resilience, increased disease, change in community structure towards r-selected species, eutrophication', all which suggest negative changes in ecosystem health.
We propose a social ecological framework for the service-based management of agro-ecosystems, specified through an explicit and symmetric representation of the ecosystem and the social system, and the dynamic links between them.
Several important scientific updates have been made to improve the representation of ecosystem structure and processes from previous versions of CBM-CFS.
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