Fragmented landscape generator (flsgen): A neutral landscape generator with control of landscape structure and fragmentation indices

Justeau-Allaire Dimitri, Blanchard Grégoire, Ibanez Thomas, Lorca Xavier, Vieilledent Ghislain, Birnbaum Philippe. 2022. Fragmented landscape generator (flsgen): A neutral landscape generator with control of landscape structure and fragmentation indices. Methods in Ecology and Evolution, 13 (7) : 1412-1420.

https://doi.org/10.1111/2041-210X.13859

Article de revue ; Article de recherche ; Article de revue à facteur d'impact

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Url - jeu de données - Entrepôt autre : https://doi.org/10.5281/zenodo.6386429 / Url - jeu de données - Entrepôt autre : https://doi.org/10.5281/zenodo.6386420 / Url - jeu de données - Entrepôt autre : https://github.com/dimitri-justeau/flsgen / Url - jeu de données - Entrepôt autre : https://github.com/dimitri-justeau/rflsgen / Url - jeu de données - Entrepôt autre : https://cran.r-project.org/package=rflsgen

Résumé : Neutral landscape models have many applications in ecology, such as supporting spatially explicit simulations, developing and evaluating landscape indices. However, current approaches provide few options to produce large landscapes with controlled composition and fragmentation indices. We introduce flsgen (Fragmented Landscape Generator), a new neutral landscape generator that addresses this limitation by providing a high level of control over 14 landscape indices. The main novelty of flsgen is the decomposition of landscape generation into two steps: the solving of a constraint satisfaction problem and the generation of a landscape raster with a stochastic algorithm. The latter relies on a continuous environmental gradient that influences the landscape's spatial configuration. flsgen can generate fine-grained artificial landscapes in small amounts of time, which makes it suited to produce large landscape series systematically. We demonstrate the features of flsgen through three illustrative use cases. flsgen is a practical and efficient tool that expands the current possibilities of neutral landscape models and widens their potential applications. To facilitate its uptake, flsgen is available as free and open-source software through a Java API, a command-line interface or an R package.

Mots-clés Agrovoc : application des ordinateurs, paysage, modèle mathématique, modèle stochastique, fragmentation de l'habitat, contrainte, programmation informatique

Mots-clés libres : Artificial landscape generation, Constraint programming, Habitat fragmentation, Landscape ecology, Landscape indices, Neutral landscape

Classification Agris : U10 - Informatique, mathématiques et statistiques

Champ stratégique Cirad : CTS 5 (2019-) - Territoires

Agences de financement hors UE : Institut Agronomique Néo-Calédonien, Centre de Coopération Internationale en Recherche Agronomique pour le Développement, Province Nord

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