Spatial Pattern of Species Richness among Terrestrial Mammals in China

Chi, Yao; Wang, Jiechen; Xi, Changbai; Qian, Tianlu; Sheng, Chong

doi:10.3390/d12030096

Cited by 14 publications

(6 citation statements)

References 43 publications

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“…High angiosperm species diversity thus may unite the high eriophyoid mite species diversity. Our inferred species diversity centres of eriophyoid mites are further coincide with that of amphibians (Chen & Bi, 2007), birds (Lei et al., 2003), insects (Li et al., 2021) and mammals (Chi et al., 2020). This congruence among various taxonomic groups indicates that montane systems may provide relatively stable environmental conditions for speciation and survival of flora and fauna (Ding et al., 2020; López‐Pujol et al., 2011; Wang et al., 2020).…”

Section: Discussionsupporting

confidence: 76%

Unveiling the spatiotemporal evolutionary patterns of eriophyoid mites in China

Li,

Hu,

Yao

et al. 2023

Zoologica Scripta

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Eriophyoid mites are among the most species‐rich superfamilies (Eriophyoidea) in the Acari, consisting of over 5000 named species. Although they exhibit a geographically uneven worldwide distribution, their regional spatiotemporal evolutionary patterns remain largely unknown. Here, we compiled a data set including 3058 occurrence records assigned into 1203 species in China. We found that eriophyoid mite species richness is higher in the southeast and lower in the northwest of China, coinciding with the 500‐mm annual precipitation isoline. Using fragments of two mitochondrial genes (COI, 12S rRNA) and two nuclear genes (18S rRNA, 28S rRNA) of 304 eriophyoid mite species, we constructed a regional dated phylogenetic tree in China. Our spatiotemporal analysis revealed that mountains in eastern and southern China had high eriophyoid mite species richness and phylogenetic clustering, possessing both ancient and young mite lineages. Species distribution modelling (SDM) results showed that the predicted suitable area of eriophyoid mites slightly expanded from the last inter‐glacial period to the last glacial maximum period. In comparison with the current SDM, a significantly larger distribution range was observed in future scenarios. These findings suggest that mountains in eastern and southern China acted as not only cradles—recent rapid speciation, but also museums—centre of gradual accumulation and preservation and provide insights into monitoring and conserving eriophyoid mites.

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Section: Discussionsupporting

confidence: 76%

Unveiling the spatiotemporal evolutionary patterns of eriophyoid mites in China

Li,

Hu,

Yao

et al. 2023

Zoologica Scripta

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“…It has been found that there are over 600 species of terrestrial mammals in China (Chi et al, 2020), of which 75 species are classified as large mammals and 86 are medium‐sized mammals. Our study analyzed the habitat patches of 64 large mammals and 48 medium‐sized mammals, which account for 85.33% and 55.81% of the large mammals and medium‐sized mammals in China.…”

Section: Methodsmentioning

confidence: 99%

Gaps in mammal conservation in China: An analysis with a framework based on minimum area requirements

Wang

Zhang

Qiu

et al. 2023

Global Change Biology

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Climate change, habitat loss, and human disturbance are major threats to biodiversity. Protecting habitats plays a pivotal role in biodiversity conservation, and there is a global imperative to establish an effective system of protected areas (PAs) to implement habitat conservation and halt biodiversity decline. However, the protected patch size of habitat for a species is just as important for biodiversity conservation as the expansion of areas already under protection. In China, conservation management is often carried out based on administrative divisions. Therefore, here, an analytical conservation management framework was developed based on administrative divisions to assess whether the current network of PAs can effectively meet species' conservation needs using the minimum area requirements (MARs) of species as criteria for medium and large‐sized mammals in China. This study found that the MAR of medium and large‐sized mammals was larger in the northwest and smaller in the southeast, while taking the Hu line as the dividing line. Precipitation seasonality, elevation, annual mean temperature, and annual precipitation are the main environmental factors driving the distribution of a species MAR. Compared with MAR for each species, the maximum protected patch size of habitat is severely undersized in most provinces where those species primarily distribute, and this is particularly true for large carnivores and threatened species. The densely populated provinces of eastern China are particularly affected by this. The present study's framework can identify the provinces needing to expand PAs or implement other effective area‐based conservation measures and habitat restoration. This analytical framework is also relevant for biodiversity conservation in different taxa and regions around the globe.

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“…Moreover, there are studies that explained the distribution of glires in China (Xing, 2008;Zhou, 2000), and the mechanism that determines richness patterns were initially discussed. Chi et al (2020Chi et al ( , 2021 studied the distribution pattern of terrestrial mammal abundance in China and its relationship with environmental factors. Inevitably, these studies did not take sufficient account of glires distribution patterns, especially the endemic and nonendemic glires groups in China.…”

Section: Introductionmentioning

confidence: 99%

Distribution patterns and drivers of nonendemic and endemic glires species in China

Meng

Zhou

2023

Ecology and Evolution

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Spatial patterns and determinants of species richness in complex geographical regions are important subjects of current biogeography and biodiversity conservation research. Glires are small herbivorous mammal species with limited migratory ability that may serve as an indicator of biodiversity and ecosystems. Herein, we aimed to evaluate how multiple ecological hypotheses could explain the species richness patterns of glires in China. Initially, we constructed a mapping grid cell operating units of 80 × 80 km 2 which covered China's land mass and mapped the distribution ranges of the 237 glires species that had recorded. The glires taxa were separated into three response variables based on their distribution: (a) all species, (b) nonendemic species, and (c) endemic species. The species richness patterns of the response variables were evaluated using four predictor sets: (a) hydrothermal characteristics, (b) climatic seasonality, (c) habitat heterogeneity, and (d) human factors. We performed regression tree analysis, multiple linear regression analysis, and variation partitioning analyses to determine the effects of predictors on spatial species patterns. The results showed that the distribution pattern of species richness was the highest in the Hengduan Mountains and surrounding areas in southwest China. However, only a few endemic species adapted to high‐latitude environments. It was found that there are differences about the determinants between nonendemic and endemic species. Habitat heterogeneity was the most influential determinant for the distribution patterns of nonendemic species richness. Climatic seasonality was the best predictor to determine the richness distribution pattern of endemic species, whereas this was least affected by human factors. Furthermore, it should be noted that hydrothermal characteristics were not strong predictors of richness patterns for all or nonendemic species, which may be due to the fact that there are also more species in some areas with less precipitation or energy. Therefore, glires are likely to persist in areas with characteristics of high habitat heterogeneity and stable climate.

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Spatial Pattern of Species Richness among Terrestrial Mammals in China

Cited by 14 publications

References 43 publications

Unveiling the spatiotemporal evolutionary patterns of eriophyoid mites in China

Unveiling the spatiotemporal evolutionary patterns of eriophyoid mites in China

Gaps in mammal conservation in China: An analysis with a framework based on minimum area requirements

Distribution patterns and drivers of nonendemic and endemic glires species in China

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