作者: Simon Ferrier , Michael Drielsma
DOI: 10.1111/J.1472-4642.2010.00657.X
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摘要: Aim To describe a general modelling framework for integrating multiple pattern- and process-related factors into biodiversity conservation assessments across whole landscapes. Location New South Wales (Australia), world-wide. Methods The allows rich array of alternatives to the target-based model traditionally underpinning systematic planning consists three broad components. first component models future state (condition) habitat landscape as function present state, current projected pressures acting on this any proposed, or implemented, management interventions. second uses spatially explicit prediction level persistence expected each set surrogate entities. third then integrates these individual expectations estimate overall whole. Results Options are explored tailoring implementation suit processes varying markedly in purpose, availability data, time, funding expertise. considerable flexibility nature employed surrogates (species-level, discrete continuous community-level) spatial data structures (polygonal units, fine-scaled raster), sophistication with which components is implemented (from simple assessment complex process-based approaches), forms higher-level analysis supported (e.g. optimal plan development, priority mapping, interactive scenario evaluation). Main conclusions described provides logical, highly flexible, foundation disparate dynamic, multiple-use landscapes.