2022
DOI: 10.1007/s11356-022-20412-w
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Modeling the effect of climate change on the distribution of threatened medicinal orchid Satyrium nepalense D. Don in India

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Cited by 8 publications
(3 citation statements)
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“…We further expected (Hypothesis 2) that the distribution range of most of the species would be resilient to climate change. We observed universal northward shifts in agreement with many other empirical studies (Kumar and Rawat 2022;Lu et al 2021;Mueller et al 2022;Yang et al 2022) as well as that the distribution ranges of most species increased in size (Fig. 1).…”
Section: Discussionsupporting
confidence: 92%
“…We further expected (Hypothesis 2) that the distribution range of most of the species would be resilient to climate change. We observed universal northward shifts in agreement with many other empirical studies (Kumar and Rawat 2022;Lu et al 2021;Mueller et al 2022;Yang et al 2022) as well as that the distribution ranges of most species increased in size (Fig. 1).…”
Section: Discussionsupporting
confidence: 92%
“…Most birds had high contributions from the mean temperature of the wettest quarter (bio8), implying that the potential distributions, and thus the abiotic niches of our species, are impacted by a combination of temperature and precipitation conditions. Bio8 has previously shown high contributions to potential distributions of many Himalayan and Indo-Burman species such as the medicinal plants of Liliaceae family (Rana et al, 2017), the native pheasant-Himalayan Monal Lophophorus impejanus (Rai et al, 2020), the invasive Lantana camara L. (Bushi et al, 2022), the threatened orchid Satyrium nepalense (Kumar and Rawat, 2022), the Crayfish Cherax quadricarinatus and Procambarus virginalis (Zeng and Yeo, 2018), and the falcon Falco jugger (Sutton et al, 2020). Thus, several species of this region may be expected to track their thermal as well as hygric niches, which may lead to complex patterns of directions of range shifts or distribution changes in the future.…”
Section: Discussionmentioning
confidence: 99%
“…This data-driven approach utilizes collected distribution points to analyze the ecological preferences of a species [17], quantified as a probability representing the species' habitat preference. MaxEnt models have become increasingly prevalent in recent years and find widespread application in various fields, including pest and disease control, the assessment of species invasions [18], medicinal plant studies [19], and the conservation of endangered species [20,21]. One of the key advantages of the MaxEnt model is its ability to yield accurate predictions even when species distribution information is incomplete and when correlations between climate and environmental factors are unclear.…”
Section: Introductionmentioning
confidence: 99%