The range and habitat suitability of François’ langur (Trachypithecus francoisi) in Mayanghe Nature Reserve, China

Han, Jialiang; Williams, Guy Michael; Zou, Qixian; Dong, Bingnan

doi:10.1007/s11356-023-25170-x

Cited by 5 publications

(11 citation statements)

References 35 publications

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“…However, distance to housing had a limited influence on the distribution prediction of Francois' langur. This finding aligns with Han et al (2023), Zeng et al (2013), Wang et al (2011), who reported that Francois' langur has become accustomed to human disturbances, especially, crops grown on agricultural land may supply the food resources for Francois' langurs (Han et al, 2023).…”

Section: Influence Of Environmental Variablessupporting

confidence: 88%

“…Francois' langur prefers areas with relatively high NDVI, which is consistent with Han et al (2023), Niu et al (2016), Zeng et al (2013) and Zeng (2011), who showed that Francois' langur habitat was mainly in the valley areas on both sides of the rivers, covered by evergreen broad-leaf forests with higher tree canopy density and vegetation cover, which provided availability of better food resources and suitable cover for predator avoidance. Meanwhile, distance to rivers and altitude were the less important variables.…”

Section: Influence Of Environmental Variablessupporting

confidence: 78%

“…In the field of Francois' langur ecology, habitat selection and use have been an important research topic for researchers. The factors of habitat selection have been divided into biological, geographical, and anthropogenic factors (Han et al, 2023). Our results suggested that bioclimatic variables made the largest contribution to the distribution of Francois' langur, vegetation, water source and anthropogenic variables were also important factors influencing the distribution of Francois' langur.…”

Section: Influence Of Environmental Variablesmentioning

confidence: 75%

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Predicting the potential distribution change of the endangered Francois’ langur (Trachypithecus francoisi) across its entire range in China under climate change

Wan,

Li,

Zhou

et al. 2023

Preprint

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The Francois’ langur (Trachypithecus francoisi) is a rare and endangered and the indicated primate species distributed in karst area in northern Vietnam and southwestern China. However, holistic conservation management has been hampered by research limited to specific nature reserves or sites. Building a comprehensive map of potential distribution for the Francois’ langur is essential to advance conservation efforts and ensure coordinated management across regions. Here, we used 82 occurrence records of Francois’ langur surveyed in Guangxi, Guizhou, and Chongqing from 2017 to 2020, along with 12 environmental variables to build the potential habitat model under current and future climate (for the periods 2021-2040, 2041-2060, 2061-2080, 2081-2100) using maximum entropy models (MaxEnt). Our results indicated that 1) precipitation- and temperature-associated bioclimatic variables made the greatest contributions to the distribution of Francois’ langur, vegetation, water source and anthropogenic variables were also important factors affecting the distribution of Francois’ langur; 2) 144207.44 km2 potential Francois’ langur suitable habitat across the entire range in China was estimated by the current model, moderate- and high-suitability habitat accounted for only 23.76% (34265.96 km2) of the predicted suitable habitat and mainly distributed in southwest Guangxi, east of Chongqing and the border between Guizhou and Chongqing; 3) the suitable habitats of Francois’ langur will dramatically contract under future climate change and the habitat centroid will move in the southeast direction with the shifting distance about 2.84km/year from current to 2100. The habitat prediction of Francois’ langur and related drivers proposed in this work will provide essential insights for future conservation of this species, which is, not only existing distribution areas should be monitored and protected, but also conservation beyond existing habitats should be a focus of effort, especially future expansion areas, to ensure effective and timely protection under climate change and anthropogenic pressures.

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Section: Influence Of Environmental Variablessupporting

confidence: 88%

Section: Influence Of Environmental Variablessupporting

confidence: 78%

Section: Influence Of Environmental Variablesmentioning

confidence: 75%

See 1 more Smart Citation

Predicting the potential distribution change of the endangered Francois’ langur (Trachypithecus francoisi) across its entire range in China under climate change

Wan,

Li,

Zhou

et al. 2023

Preprint

View full text Add to dashboard Cite

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“…The height of a place relative to its surroundings represents the place as a mountaintop, mountainside or mountain bottom. Tang and Wang (2021) and Han (2021) revealed that plant compositions of the mountaintop, mountainside and mountain bottom were different. Zhang et al (2021) and Yang et al (2022) also revealed that slope and aspect can affect the plant composition.…”

Section: Discussionmentioning

confidence: 99%

In plateaus, land cover replaced climate as the vital environmental factor on the spatial composition of bumblebees with the altitude rising

Liang

Liu

Jiang

et al. 2023

Ecological Entomology

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1. Bumblebees show a series of advantages over other pollinating insects in offering pollination services for both the ecosystem and agricultural production, especially in high-altitude areas. With climate warming, their diversity at high altitudes will be threatened. Therefore, more attention should be paid to the management of bumblebee resources at high altitudes to prevent their decline here. Discovering drivers responsible for the spatial variation of biodiversity is a benefit for developing appropriate management.2. Here, based on the bumblebee diversity on three plateau areas with an altitude gradient, the roles of different environmental factors, the climate, land cover, topography, habitat heterogeneity and soil, in the bumblebee composition were assessed by generalised dissimilarity modelling. And the relative importance of variables was evaluated by the impact on the magnitude of total biological change and the per cent change in deviance explained by models.3. According to the results, in the low-altitude area, the climate played a vital role and the most important variable was the climate variable. Then, with the altitude rising, the effect of land cover continually increased. In the medium-altitude area, the effects of different factors were detected to be similar, and the most important variables were a climate variable and a land cover variable. In the high-altitude area, land cover finally replaced the climate as the most important factor, and one land cover variable was assessed as the most important variable. Our study revealed that the relative importance of different environmental factors on the biodiversity of bumblebees can differ as the altitude rises.

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“…At smaller scales, interspecies interactions predominantly influence species distribution patterns, with biotic factors contributing more at local scales and topographic factors becoming more significant at the landscape scale, while climatic variables are key in determining habitat suitability at regional and larger scales [35,36]. SDMs have been applied in distribution prediction studies for various taxa, including animals [37], plants [38], insects [39], marine organisms [40], lichens and mosses [41], and viruses [42], often employed in fields like invasive plant risk identification, animal habitat prediction, and pest control, predominantly using single-model approaches, especially MaxEnt [43]. Depending on the algorithm, there are different types of SDMs, and their applicability varies with species and the number of distribution points [44,45], suggesting that no single perfect model algorithm suits all niche characteristics [46].…”

Section: Introductionmentioning

confidence: 99%

Impact of Climate Change on the Potential Geographical Distribution Patterns of Luculia pinceana Hook. f. since the Last Glacial Maximum

Gao,

Guo,

et al. 2024

Forests

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In this study, we utilized 76 natural distribution points and six environmental variables to establish a detailed species distribution prediction process for Luculia pinceana Hook. f. Our aim was to explore the potential distribution patterns of L. pinceana since the Last Glacial Maximum (LGM) and its response to climate change, providing a scientific basis for conservation strategies and the suitable introduction of its wild populations. This model enabled the prediction of L. pinceana’s geographical distribution patterns across five temporal phases: the LGM, the Mid-Holocene (MH), the present, and two future scenarios. Additionally, the model pinpointed the dominant environmental factors influencing these distribution patterns. The results indicate the following: (1) The temperature annual range (bio7), the minimum temperature of the coldest month (bio6), and the precipitation of the wettest month (bio13) are the dominant environmental factors that determine the distribution of L. pinceana. In areas where bio7 is less than 22.27 °C, bio6 is above 3.34 °C, and bio13 exceeds 307.65 mm, the suitability for L. pinceana is highest. (2) Under the current climatic conditions, the highly suitable area of L. pinceana accounts for 64 × 104 km2, which accounts for half of the total suitable area. The suitable habitats for L. pinceana are concentrated in Yunnan, Guizhou, Sichuan, Chongqing, Guangxi, southern Nyingchi in Tibet, and the coastal areas of South China. (3) During the LGM and the MH, the suitable habitats for L. pinceana were essentially consistent with the current scenarios, with no significant southward shift in distribution. This lack of a major southward migration during the LGM could be attributed to the species finding refuge in situ in mountainous areas. (4) Under various future emission scenarios, the suitable habitat area for L. pinceana is expected to experience significant expansion, generally shifting towards the northwest and higher latitudes. The anticipated global warming in the future is likely to provide more favorable conditions for the survival of L. pinceana. It is recommended that the introduction follows the direction of centroid migration, facilitated by vegetation management, and it has the ecological and economic benefits of L. pinceana to a greater extent.

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The range and habitat suitability of François’ langur (Trachypithecus francoisi) in Mayanghe Nature Reserve, China

Cited by 5 publications

References 35 publications

Predicting the potential distribution change of the endangered Francois’ langur (Trachypithecus francoisi) across its entire range in China under climate change

Predicting the potential distribution change of the endangered Francois’ langur (Trachypithecus francoisi) across its entire range in China under climate change

In plateaus, land cover replaced climate as the vital environmental factor on the spatial composition of bumblebees with the altitude rising

Impact of Climate Change on the Potential Geographical Distribution Patterns of Luculia pinceana Hook. f. since the Last Glacial Maximum

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