Tools for landscape science: theory, models and data
Van Oijen, Marcel. 2019 Tools for landscape science: theory, models and data. In: Mueller, Lothar; Eulenstein, Frank, (eds.) Current trends in landscape research. Cham, Switzerland, Springer, 221-231. (Innovations in Landscape Research).
Full text not available from this repository.Abstract/Summary
We review the different roles of theory, models and data in landscape science. The need for science at the landscape scale is argued. Landscape theory is considered as a repository of probabilistic patterns rather than as a collection of laws of nature. We present a typology of such patterns for five distinct landscape features: land cover, land use, patch properties, patch interactions, exogenous influences. We show how theory for these features can support landscape modelling, and we provide a checklist of questions for model developers. The limited availability of data on landscapes is discussed, and how that leads to uncertainties in theoretical patterns as well as models. We analyse how probability theory can be used to account for these uncertainties, strengthening the links between theory, models and data, and facilitating decision-support.
Item Type: | Publication - Book Section |
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Digital Object Identifier (DOI): | 10.1007/978-3-030-30069-2_8 |
UKCEH and CEH Sections/Science Areas: | Atmospheric Chemistry and Effects (Science Area 2017-) |
ISBN: | 9783030300685 |
Additional Keywords: | agricultural landscapes, Bayesian methods, data, ecosystem services, landscape theory, models, probability theory, uncertainties |
NORA Subject Terms: | Ecology and Environment |
Date made live: | 26 Nov 2019 14:58 +0 (UTC) |
URI: | https://nora.nerc.ac.uk/id/eprint/526045 |
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