Abstract
Context
An important part of landscape ecology is to identify relationships between landscape characteristics and ecological processes. One common approach to this is relating raster surfaces to ecological responses, assuming that the characteristics emphasized by rasters are representative of the processes determining changes in the ecological responses being assessed. Consequently, choices made in the design and assessment of rasters affect our understanding of the relationship between landscape characteristics and ecological responses.
Objectives
We propose a six-step framework for informing the choices made in creating and measuring rasters for landscape analyses: (i) acknowledge ecological theory and conceptual paradigms, (ii) evaluate the fit of available data, (iii) assess the three facets of scale, (iv) recognize different sampling designs, (v) use proper conceptual models, and (vi) measure meaningful raster characteristics.
Conclusions
We discuss how each step can benefit from a “functional” perspective, i.e., an explicit focus on the ecological processes under investigation. This is especially important for landscape analyses of habitat change, which are highly complex due to the many processes potentially involved. A functional perspective draws attention to common pitfalls in landscape ecology, while promoting more process-oriented research in the study of habitat change.
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Acknowledgements
We thank Lenore Fahrig and François-Nicolas Robinne for feedback on an early draft of this manuscript, as well as Dr. Wickham and two anonymous reviewers for providing insightful comments and suggestions. We also thank Kate Broadley and Fuse Consulting Ltd. for digitizing the original figures.
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FR led manuscript writing with intellectual contributions and assistance in writing from SEN. Both authors agreed to submission and be accountable for the contents of this manuscript.
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Riva, F., Nielsen, S.E. Six key steps for functional landscape analyses of habitat change. Landscape Ecol 35, 1495–1504 (2020). https://doi.org/10.1007/s10980-020-01048-y
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DOI: https://doi.org/10.1007/s10980-020-01048-y