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.


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
Digital Object Identifier (DOI):
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)

Actions (login required)

View Item View Item

Document Downloads

Downloads for past 30 days

Downloads per month over past year

More statistics for this item...