Modeling the effect of climate change on the distribution of threatened medicinal orchid Satyrium nepalense D. Don in India

Kumar, Devendra; Rawat, Sandeep

doi:10.1007/s11356-022-20412-w

Cited by 8 publications

(3 citation statements)

References 65 publications

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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%

Woody species with high wood density are more vulnerable to global change in South China

Li,

Veresoglou

2023

Preprint

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To cope with global change, plants shift their distributions. Distribution shifts tend to be more dramatic across rare species. We here questioned how the distribution range of eight rare woody species is changing and how effectively the plants cope with the shift. We further addressed whether plant traits that could predict those parameters. We carried out Maxent Distribution Modelling on species observation records before 1980 under present climatic conditions and four future (CMIP5) scenarios. To assess how effectively plants cope with migration we assessed species observations after 1980. We finally collated plant trait data on three traits. Most distribution ranges expanded northwards. Temperature driven rather than precipitation driven variables described distribution shifts best. Wood density summarized well the susceptibility of those plants to climate change. There are many woody species in tropical and subtropical areas for which we have very little information available. We identified, subject to our small pool of species, a plant trait, wood density, that could summarize responses to global change that could potentially be used as a tool in conservation ecology to prioritize conservation efforts.

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Section: Discussionsupporting

confidence: 92%

Woody species with high wood density are more vulnerable to global change in South China

Li,

Veresoglou

2023

Preprint

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“…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%

Ecology and not phylogeny influences sensitivity to climate change in Muscicapidae Flycatchers in Eastern Himalayan and Indo-Burman hotspots

Dhanda,

Jezierski,

Coulson

et al. 2023

Preprint

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AimsSpecies’ distributional responses to climate change can depend on ecology and phylogeny. The degree of habitat specialism is potentially important because habitat generalists with wider distributions are assumed to be less sensitive to environmental changes compared to narrowly-distributed habitat specialists. Additionally, predicting which aspects of the changing climate impacts species with different habitat associations may be particularly challenging in complex environments such as those of tropical mountains. We explore the effects of climate change on potential distributions of Muscicapidae Flycatchers in parts of the Eastern Himalayan Mountains and the Indo-Burman range, and relate predictions to the level of ecological habitat specialism, while accounting for phylogenetic relatedness.LocationBhutan and Northeast IndiaMethodsWe used Maxent to develop ecological niche models of 60 Muscicapidae Flycatchers under different climatic scenarios by collating presences from Global Biodiversity Information Facility, Bioclimatic variables from WorldClim, and elevation from ASTER. Species were scored as habitat specialists or generalists using the Species Specialism Index. Variables with high contributions to Maxent models were extracted to explore sensitivity to climate change based on habitat specialism while testing for phylogenetic signal using Phylogenetic Generalised Least Squares.ResultsMaxent models had the highest contributions from variable bio8 (mean temperature of wettest quarter) under present climate, and tmax (maximum temperature) under future climatic scenarios. Phylogenetic Generalised Least Squares revealed that habitat generalists had higher sensitivity to climate change than specialists. We did not detect strong phylogenetic signal in sensitivity to abiotic variables under all climate scenarios.Main conclusionsPotential distributions of Muscicapidae Flycatchers were sensitive to temperature variable in the month of the highest precipitation, and to maximum temperature. Potential distributions of habitat generalists were particularly sensitive to these abiotic variables, and those of habitat specialists less so. Sensitivity to abiotic variables did not show a pattern of phylogenetic niche conservatism. climate change, Muscicapidae Flycatchers, phylogenetic niche conservatism, habitat specialism, tropical mountains, Maxent

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“…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%

Suitable Habitat Prediction and Analysis of Dendrolimus houi and Its Host Cupressus funebris in the Chinese Region

Miao,

Zhao,

Wang

et al. 2024

Forests

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The Dendrolimus houi, a phytophagous pest, displays a broad range of adaptations and often inflicts localized damage to its hosts. Cupressus funebris, an indigenous timber species in China, is significantly impacted by D. houi. Investigating the suitable habitat distribution and changes in D. houi and its host plant, C. funebris, within the context of climate warming, is essential for understanding D. houi’s development and providing novel insights for managing D. houi and conserving C. funebris resources. In this study, MaxEnt was employed to simulate the distribution of D. houi and its host plant, C. funebris, in their suitable habitats, evaluating the influence of environmental factors on their distribution and determining changes under a warming scenario. MaxEnt model parameters were adjusted using the Kuenm data package based on available distribution and climatic data. The minimum temperature of the coldest month emerged as the primary environmental factor influencing the distribution of a suitable habitat for D. houi and C. funebris, with a percentage contribution of environmental factors over 60%. There was a substantial similarity in the suitable habitat distributions of D. houi and C. funebris, with varying degrees of expansion in the total habitat area under different temporal and climatic scenarios. Intersection analysis results indicated that the 2041–2060 period, especially under low (SSP1-2.6) and high (SSP5-8.5) emission scenarios, is a critical phase for D. houi control. The habitat expansion of D. houi and C. funebris due to climate change was observed, with the distribution center of D. houi shifting northeast and that of C. funebris shifting northwest.

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Modeling the effect of climate change on the distribution of threatened medicinal orchid Satyrium nepalense D. Don in India

Cited by 8 publications

References 65 publications

Woody species with high wood density are more vulnerable to global change in South China

Woody species with high wood density are more vulnerable to global change in South China

Ecology and not phylogeny influences sensitivity to climate change in Muscicapidae Flycatchers in Eastern Himalayan and Indo-Burman hotspots

Suitable Habitat Prediction and Analysis of Dendrolimus houi and Its Host Cupressus funebris in the Chinese Region

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