Most projects in Landscape Ecology, at some point, define a
species-habitat association. These models are inherently spatial,
dealing with landscapes and their configurations. Whether coding
behavioral rules for dispersal of simulated organisms through
simulated landscapes, or designing the sampling extent of field
surveys and experiments in real landscapes, landscape ecologists
must make assumptions about how organisms experience and utilize
the landscape. These convenient working postulates allow modelers
to project the model in time and space, yet rarely are they
explicitly considered. The early years of landscape ecology
necessarily focused on the evolution of effective data sources,
metrics, and statistical approaches that could truly capture the
spatial and temporal patterns and processes of interest. Now that
these tools are well established, we reflect on the ecological
theories that underpin the assumptions commonly made during species
distribution modeling and mapping. This is crucial for applying
models to questions of global sustainability.
Due to the inherent use of GIS for much of this kind of
research, and as several authors research involves the production
of multicolored map figures, there would be an 8-page color insert.
Additional color figures could be made available through a digital
archive, or by cost contributions of the chapter authors. Where
applicable, would be relevant chapters GIS data and model code
available through a digital archive. The practice of data and code
sharing is becoming standard in GIS studies, is an inherent method
of this book, and will serve to add additional research value to
the book for both academic and practitioner audiences."
General
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