Using worldwide edaphic data to model plant species niches: an assessment at a continental extent
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2017
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Ecological niche modeling (ENM) is a broadly used tool in different fields of plant ecology.
Despite the importance of edaphic conditions in determining the niche of terrestrial plant
species, edaphic data have rarely been included in ENMs of plant species perhaps because
such data are not available for many regions. Recently, edaphic data has been made available
at a global scale allowing its potential inclusion and evaluation on ENM performance for
plant species. Here, we take advantage of such data and address the following main questions:
What is the influence of distinct predictor variables (e.g. climatic vs edaphic) on different
ENM algorithms? and what is the relationship between the performance of different
predictors and geographic characteristics of species? We used 125 plant species distributed
over the Neotropical region to explore the effect on ENMs of using edaphic data available
from the SoilGrids database and its combination with climatic data from the CHELSA database.
In addition, we related these different predictor variables to geographic characteristics
of the target species and different ENM algorithms. The use of different predictors (climatic,
edaphic, and both) significantly affected model performance and spatial complexity of the
predictions. We showed that the use of global edaphic plus climatic variables generates
ENMs with similar or better accuracy compared to those constructed only with climate variables.
Moreover, the performance of models considering these different predictors, separately
or jointly, was related to geographic properties of species records, such as number
and distribution range. The large geographic extent, the variability of environments and the
different species' geographical characteristics considered here allowed us to demonstrate
that global edaphic data adds useful information for plant ENMs. This is particularly valuable
for studies of species that are distributed in regions where more detailed information on soil
properties is poor or does not even exist.
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VELAZCO, Santiago José Elías; GALVÃO, Franklin; VILLALOBOS, Fabricio; MARCO JÚNIOR, Paulo De. Using worldwide edaphic data to model plant species niches: an assessment at a continental extent. PLoS One, San Francisco, v. 12, n. 10, e0186025, 2017. DOI: 10.1371/journal.pone.0186025. Dispinível em: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0186025. Acesso em: 6 jan. 2023.