4.5 Article

Biotic modifiers, environmental modulation and species distribution models

Journal

JOURNAL OF BIOGEOGRAPHY
Volume 39, Issue 12, Pages 2179-2190

Publisher

WILEY
DOI: 10.1111/j.1365-2699.2012.02705.x

Keywords

Ecosystem engineers; facilitation; global change; keystone species; models; niche; niche construction; species distribution models

Funding

  1. LOEWE initiative for scientific and economic excellence of the German federal state of Hesse
  2. Swiss Science Foundation [31003A-107927]
  3. Max Planck Society
  4. Swiss Federal Institute of Technology Zurich
  5. Scottish Government
  6. Netherlands Organisation for Scientific Research (NWO)
  7. Biodiversity and Climate Research Centre (BiK-F), part of the LOEWE programme 'Landes-Offensive zur Entwicklung Wissenschaftlich-okonomischer Exzellenz' of Hesse's Ministry of Higher Education, Research and the Arts
  8. Helmholtz Alliance

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The ability of species to modulate environmental conditions and resources has long been of interest. In the past three decades the impacts of these biotic modifiers have been investigated as ecosystem engineers, niche constructors, facilitators and keystone species. This environmental modulation can vary spatially from extremely local to global, temporally from days to geological time, and taxonomically from a few to a very large number of species. Modulation impacts are pervasive and affect, inter alia, the climate, structural environments, disturbance rates, soils and the atmospheric chemical composition. Biotic modifiers may profoundly transform the projected environmental conditions, and consequently have a significant impact on the predicted occurrence of the focal species in species distribution models (SDMs). This applies especially when these models are projected into different geographical regions or into the future or the past, where these biotic modifiers may be absent, or other biotic modifiers may be present. We show that environmental modulation can be represented in SDMs as additional variables. In some instances it is possible to use the species (e.g. biotic modifiers) in order to reflect the modulation. This would apply particularly to cases where the effect is the result of a single or a small number of species (e.g. elephants transforming woodland to grassland). Where numerous species generate an effect (such as tree species making a forest, or grasses facilitating fire) that modulates the abiotic environment, the effect itself might be a better descriptor for the aggregated action of the numerous species. We refer to this effect as the modulator. Much of the information required to incorporate environmental modulation effects in SDMs is already available from remote-sensing data and vegetation models.

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