2016
DOI: 10.1016/j.actao.2016.08.014
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Evaluating how species niche modelling is affected by partial distributions with an empirical case

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Cited by 25 publications
(18 citation statements)
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References 55 publications
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“…The distribution of P. carbonelli is elongated, scattered, and divided into four parts. An analysis of niche conditions for the central part of the geographic range allowed the prediction of the entire distributional area; however, this was not possible when using information from the three other parts (Carretero and Sillero 2016). In our study, no niche in the three verified parts of J. drupacea's geographic range allowed the prediction of the entire distribution of the species.…”
Section: Climatic Determinants Of Geographic Rangecontrasting
confidence: 57%
“…The distribution of P. carbonelli is elongated, scattered, and divided into four parts. An analysis of niche conditions for the central part of the geographic range allowed the prediction of the entire distributional area; however, this was not possible when using information from the three other parts (Carretero and Sillero 2016). In our study, no niche in the three verified parts of J. drupacea's geographic range allowed the prediction of the entire distribution of the species.…”
Section: Climatic Determinants Of Geographic Rangecontrasting
confidence: 57%
“…Indeed, despite including detailed soil data, most plant ENM studies have been conducted on extents that are usually smaller than the complete geographic distribution of plant species. Such ENMs may not comprise the full environmental variability that characterizes a species distribution and thus may affect model performance [ 46 , 47 ]. Here, we evaluate the potential effect of using the SoilGrids global dataset in improving ENMs for plant species.…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, the possibility of noticeable differences in the realized environment between calibration and projection areas usually increases with their geographic distance, worsening projection pitfalls due to extrapolation requirements (Qiao et al, 2019). Finally, if populations' clusters have been segregated for dozens of millennia, possible intraspecific niche differentiation may have occurred in the meanwhile, making the HSMs calibrated on a cluster difficultly transferable to a different one (Carretero & Sillero, 2016).…”
Section: Introductionmentioning
confidence: 99%