2020
DOI: 10.1016/j.gecco.2019.e00840
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Modeling the potential distribution of Zelkova schneideriana under different human activity intensities and climate change patterns in China

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Cited by 21 publications
(19 citation statements)
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“…To consider the uncertainty introduced by splitting the training and validation sets, we repeated the operation 15 times. The model employed a set of four possibility features, namely logistic regression, bioclimatic rules, range rules, and negated range rules [11]. We selected logistic regression to explain the habitat suitability of these three species [40].…”
Section: Model Settingmentioning
confidence: 99%
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“…To consider the uncertainty introduced by splitting the training and validation sets, we repeated the operation 15 times. The model employed a set of four possibility features, namely logistic regression, bioclimatic rules, range rules, and negated range rules [11]. We selected logistic regression to explain the habitat suitability of these three species [40].…”
Section: Model Settingmentioning
confidence: 99%
“…We selected logistic regression to explain the habitat suitability of these three species [40]. As the outputs of the MaxEnt were the cumulative probability for each pixel on the scale of 0-1 or suitability index value (probability of presence) [41], we classified habitat suitability using four classes of the suitability index value: 0.5-1 = high-suitability area, 0.3-0.5 = medium-suitability area, 0.1-0.3 = low-suitability area, 0-0.1 = non-suitable area [11].…”
Section: Model Settingmentioning
confidence: 99%
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“…Environmental, biological, historical, and anthropogenic factors affect the distribution of species in space and time 1 . However, climate seems to be the most relevant factor for several taxa at large scales [2][3][4][5][6] . Throughout the last century, and especially over the last few decades, there have been global alterations leading to a warmer climate 7 with widespread effects on biological systems [8][9][10] .…”
Section: Darío Chamorro * Raimundo Real and Antonio-román Muñozmentioning
confidence: 99%