Computational Methods in Landscape Ecology

Hesselbarth, M., Nowosad, J., de Flamingh, A., Simpkins, C., Jung, M., Gerber, G. ORCID: https://orcid.org/0000-0002-8722-3113, & Bosch, M. (2024). Computational Methods in Landscape Ecology. Current Landscape Ecology Reports 10 (1) e2. 10.1007/s40823-024-00104-6.

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Abstract

Purpose of Review
Landscapes can be defined as mosaics of different land covers, habitats, ecosystems, or land-use systems. The link between spatial heterogeneous patterns and ecological processes is the core concept in the research field of landscape ecology. Nowadays, advanced computational methods are essential to the field due to its cross-disciplinary nature, the increasing availability of data, and the complexity of landscape systems.

Recent Findings
This review provides an overview of recent developments in computational methods that have advanced the research field of landscape ecology. We focus on key topics such as spatial patterns, connectivity, landscape genetics, sampling, simulations and modeling, and spatial planning.

Summary
The review highlights key innovations, challenges, and potential future directions in the field, emphasizing the role of computational methods in addressing complex ecological questions.

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