TY - JOUR
T1 - The importance of land-use legacies for modeling present-day species distributions
AU - Chen, Xin
AU - Leites, Laura
N1 - Funding Information:
We thank R. McCullough from the USDA Forest Service for providing soil and topography values for FIA plots. We also thank D. Diefenbach, E. Hanks, A. Prasad, and E. Smithwick who served in X. Chen’s dissertation committee for helpful comments. L. Leites acknowledges partial funding by the USDA National Institute of Food and Agriculture and Hatch Appropriations under Project #PEN04700 and Accession #1019151.
Funding Information:
We thank R. McCullough from the USDA Forest Service for providing soil and topography values for FIA plots. We also thank D. Diefenbach, E. Hanks, A. Prasad, and E. Smithwick who served in X. Chen’s dissertation committee for helpful comments. L. Leites acknowledges partial funding by the USDA National Institute of Food and Agriculture and Hatch Appropriations under Project #PEN04700 and Accession #1019151.
Publisher Copyright:
© 2020, Springer Nature B.V.
PY - 2020/12
Y1 - 2020/12
N2 - Context: Land-use legacies play an important role in shaping contemporary species distributions. However, land-use legacies are rarely considered in species distribution models (SDMs) that aim to model present-day species distributions across the landscape, even though they can lead to a species absence in suitable areas. SDMs that do not account for land-use legacies will likely result in biased predictions of species distributions. Objective: We examine the importance of land-use legacies for modeling present-day distributions of tree species at a regional scale, assessing how the addition of land-use legacy variables improves predictive power of SDMs. Methods: We generated land-use legacy variables using raster layers of reconstructed historical agricultural land use and 3310 inventory plots. SDMs were developed for six forest tree species based on climatic, edaphic, and topographic variables, and with (SDMLU) and without (SDMBase) land-use legacy variables. We compared the predictive power between SDMLU and SDMBase models and then quantified the local importance of land-use legacy variables relative to other abiotic variables. Results: Our results show that the importance of land-use legacy variables for present-day species distributions and the improvement on the predictive power of SDMs is species-specific. The inclusion of land-use legacy variables improved SDMs primarily by lowering errors of commission and increasing the overall accuracy of prediction. Conclusion: The influence of land-use legacies on SDMs suggests that, for some tree species, incorporating land-use legacies can accurately identify suitable areas that are not occupied by the species due to land-use legacies, and advance our understanding of their present-day distributions.
AB - Context: Land-use legacies play an important role in shaping contemporary species distributions. However, land-use legacies are rarely considered in species distribution models (SDMs) that aim to model present-day species distributions across the landscape, even though they can lead to a species absence in suitable areas. SDMs that do not account for land-use legacies will likely result in biased predictions of species distributions. Objective: We examine the importance of land-use legacies for modeling present-day distributions of tree species at a regional scale, assessing how the addition of land-use legacy variables improves predictive power of SDMs. Methods: We generated land-use legacy variables using raster layers of reconstructed historical agricultural land use and 3310 inventory plots. SDMs were developed for six forest tree species based on climatic, edaphic, and topographic variables, and with (SDMLU) and without (SDMBase) land-use legacy variables. We compared the predictive power between SDMLU and SDMBase models and then quantified the local importance of land-use legacy variables relative to other abiotic variables. Results: Our results show that the importance of land-use legacy variables for present-day species distributions and the improvement on the predictive power of SDMs is species-specific. The inclusion of land-use legacy variables improved SDMs primarily by lowering errors of commission and increasing the overall accuracy of prediction. Conclusion: The influence of land-use legacies on SDMs suggests that, for some tree species, incorporating land-use legacies can accurately identify suitable areas that are not occupied by the species due to land-use legacies, and advance our understanding of their present-day distributions.
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U2 - 10.1007/s10980-020-01119-0
DO - 10.1007/s10980-020-01119-0
M3 - Article
AN - SCOPUS:85091283428
SN - 0921-2973
VL - 35
SP - 2759
EP - 2775
JO - Landscape Ecology
JF - Landscape Ecology
IS - 12
ER -