Using water and energy variation to explain the botanical richness pattern of Theaceae species in southern China

Zhang, Minggang; Zhao, Xiaoyan; Liu, Lijun; Huang, Chen‐Yu

doi:10.1016/j.chnaes.2019.05.003

Cited by 6 publications

(3 citation statements)

References 45 publications

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“…The results also confirmed that the effects of energy and water on species richness varied spatially, with a gradual increase from hot and humid regions to cold and arid regions. This is in accordance with previous findings that cold and drought are the key climatic constraints of species diversity ( Xu et al., 2016 ; Zhang et al., 2019 ; Huang et al., 2023 ). It can be inferred that this is due to the enhanced physiological filtering of the environment on species as cold and drought intensify.…”

Section: Discussionsupporting

confidence: 94%

“…By dividing the research area into different climate regions, this work demonstrated that the effects of energy and water on species richness were relatively stronger in arid regions. Many studies have corroborated that drought is a determining factor restricting the distributions of certain plants and regional species diversity ( Choat et al., 2012 ; Zhang et al., 2019 ). Using pteridophytes to test the water–energy dynamic hypothesis, Huang et al.…”

Section: Discussionmentioning

confidence: 99%

“…The number of species in a unit was used as the species richness data. To avoid the impact of the area on the research, the species richness data were converted to 20’ × 20’ grid cells ( Zhang et al., 2017 ; Zhang et al., 2019 ). A total of 3,676 grid cells containing species richness data were utilized for analysis.…”

Section: Methodsmentioning

confidence: 99%

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Changing effects of energy and water on the richness distribution pattern of the Quercus genus in China

Sun,

Zhang,

Wang

et al. 2024

Front. Plant Sci.

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Climate varies along geographic gradients, causing spatial variations in the effects of energy and water on species richness and the explanatory power of different climatic factors. Species of the Quercus genus are important tree species in China with high ecological and socioeconomic value. To detect whether the effects of energy and water on species richness change along climatic gradients, this study built geographically weighted regression models based on species richness and climatic data. Variation partition analysis and hierarchical partitioning analysis were used to further explore the main climatic factors shaping the richness distribution pattern of Quercus in China. The results showed that Quercus species were mainly distributed in mountainous areas of southwestern China. Both energy and water were associated with species richness, with global slopes of 0.17 and 0.14, respectively. The effects of energy and water on species richness gradually increased as energy and water in the environment decreased. The interaction between energy and water altered the effect of energy, and in arid regions, the effects of energy and water were relatively stronger. Moreover, energy explained more variation in species richness in both the entire study area (11.5%) and different climate regions (up to 19.4%). The min temperature of coldest month was the main climatic variable forming the richness distribution pattern of Quercus in China. In conclusion, cold and drought are the critical climatic factors limiting the species richness of Quercus, and climate warming will have a greater impact in arid regions. These findings are important for understanding the biogeographic characteristics of Quercus and conserving biodiversity in China.

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Section: Discussionsupporting

confidence: 94%