Incorporating interspecific competition into species-distribution mapping by upward scaling of small-scale model projections to the landscape
| Autor: | D. Edwin Swift, Fan-Rui Meng, Charles P.-A. Bourque, Mark Baah-Acheamfour |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
0106 biological sciences
Yellow birch Species Delimitation 010504 meteorology & atmospheric sciences Speciation Population Dynamics Species distribution lcsh:Medicine Forests 01 natural sciences Trees Tsuga Photosynthesis lcsh:Science Biomass (ecology) Multidisciplinary Ecology biology Physics Electromagnetic Radiation Plants Terrestrial Environments Physical Sciences Solar Radiation Research Article Canada Evolutionary Processes Beeches 010603 evolutionary biology Ecosystems Species Specificity Birches Beech Ecosystem 0105 earth and related environmental sciences Evolutionary Biology Ecology and Environmental Sciences lcsh:R Organisms Biology and Life Sciences Interspecific competition 15. Life on land biology.organism_classification Black spruce Plant Leaves Environmental science lcsh:Q Spruces Pines Abies balsamea |
| Zdroj: | PLoS ONE, Vol 12, Iss 2, p e0171487 (2017) PLoS ONE |
| ISSN: | 1932-6203 |
| Popis: | There are a number of overarching questions and debate in the scientific community concerning the importance of biotic interactions in species distribution models at large spatial scales. In this paper, we present a framework for revising the potential distribution of tree species native to the Western Ecoregion of Nova Scotia, Canada, by integrating the long-term effects of interspecific competition into an existing abiotic-factor-based definition of potential species distribution (PSD). The PSD model is developed by combining spatially explicit data of individualistic species’ response to normalized incident photosynthetically active radiation, soil water content, and growing degree days. A revised PSD model adds biomass output simulated over a 100-year timeframe with a robust forest gap model and scaled up to the landscape using a forestland classification technique. To demonstrate the method, we applied the calculation to the natural range of 16 target tree species as found in 1,240 provincial forest-inventory plots. The revised PSD model, with the long-term effects of interspecific competition accounted for, predicted that eastern hemlock (Tsuga canadensis), American beech (Fagus grandifolia), white birch (Betula papyrifera), red oak (Quercus rubra), sugar maple (Acer saccharum), and trembling aspen (Populus tremuloides) would experience a significant decline in their original distribution compared with balsam fir (Abies balsamea), black spruce (Picea mariana), red spruce (Picea rubens), red maple (Acer rubrum L.), and yellow birch (Betula alleghaniensis). True model accuracy improved from 64.2% with original PSD evaluations to 81.7% with revised PSD. Kappa statistics slightly increased from 0.26 (fair) to 0.41 (moderate) for original and revised PSDs, respectively. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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