Making better biogeographical pbkp_redictions of species' distributions
Abstract:
1. Biogeographical models of species' distributions are essential tools for assessing impacts of changing environmental conditions on natural communities and ecosystems. Practitioners need more reliable pbkp_redictions to integrate into conservation planning (e.g. reserve design and management). 2. Most models still largely ignore or inappropriately take into account important features of species' distributions, such as spatial autocorrelation, dispersal and migration, biotic and environmental interactions. Whether distributions of natural communities or ecosystems are better modelled by assembling individual species' pbkp_redictions in a bottom-up approach or modelled as collective entities is another important issue. An international workshop was organized to address these issues. 3. We discuss more specifically six issues in a methodological framework for generalized regression: (i) links with ecological theory; (ii) optimal use of existing data and artificially generated data; (iii) incorporating spatial context; (iv) integrating ecological and environmental interactions; (v) assessing pbkp_rediction errors and uncertainties; and (vi) pbkp_redicting distributions of communities or collective properties of biodiversity. 4. Synthesis and applications. Better pbkp_redictions of the effects of impacts on biological communities and ecosystems can emerge only from more robust species' distribution models and better documentation of the uncertainty associated with these models. An improved understanding of causes of species' distributions, especially at their range limits, as well as of ecological assembly rules and ecosystem functioning, is necessary if further progress is to be made. A better collaborative effort between theoretical and functional ecologists, ecological modellers and statisticians is required to reach these goals. © 2006 The Authors.
Año de publicación:
2006
Keywords:
- Errors and uncertainties
- Generalized regressions
- interactions
- Community and diversity modelling
- Artificial data
- Niche-based model
- autocorrelation
Fuente:
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Tipo de documento:
Review
Estado:
Acceso restringido
Áreas de conocimiento:
- Biogeografía
- Biodiversidad
Áreas temáticas:
- Ecología
- Temas específicos de la historia natural de las plantas
- Temas específicos de historia natural de los animales