Neutral models for patchy landscapes
type: Distribution
access URL: https://hal.science/hal-00088136
format: HTML
issued: 2026-05-09T02:37:37.467154
modified: 2026-05-09T02:37:37.447856

Neutral models for patchy landscapes
type: Dataset
contact point: Organization
  fn: CCSD
keyword: ecosystem-modelling
keyword: categorical-map
keyword: gibbs-process
keyword: forestry
keyword: infoeu-reposemanticsarticle
keyword: journal-articles
keyword: sdvsasflife-sciences-q-bioagricultural-sciencessilviculture-forestry
keyword: landscape-ecology
landing page: 0304-3800
description: The landscapes currently studied in ecology are either “discontinuous” (category-based or patch-based), as in the case of mosaics of agricultural units, or of more “continuous” type (raster lattices), as used for representing elevation or other ecological gradients. The main landscape models either involve explicit processes or are neutral, recreating spatial patterns in the absence of studied processes (using statistical rules). This article presents neutral models suitable for the creation and handling of patchy landscapes. These models (Patchy Landscape Neutral Models) adapt the Gibbs process already used successfully in forestry and biology to describe the local interactions between landscape units. These interactions can be either ecological, if justified, for example, by natural mechanisms of dispersal (plant species dynamics), or crop successions in anthropized landscapes, or statistical (geometrical). We define a global “cost function” representative of the landscape to be simulated by summing the “pair function” that expresses the interactions between units for the whole landscape. This generic approach makes it possible to reconstruct different kinds of patchy landscape compositions (land cover) and opens the way to study changes in landscape configuration (unit arrangements) as well as an analytical description of landscapes
issued: 2026-05-09T02:37:37.465093
language: en
modified: 2026-05-09T02:37:37.465098

test_moissonnage_selune
type: Agent