ArticleEnvironmental monitoring and assessment2021
Patterns of tree species richness in Southwest China.
Article in Environmental monitoring and assessment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed.
- Species richness and Spatial distribution of three Pieridae subfamilies across mainland China under past and future climates.Scientific reports · 2025Article
- Prediction of groundwater quality assessment by integrating boosted learning with DE optimizer.Scientific reports · 2025Article
- Climate Change Drives Northwestward Migration ofPlants (Basel, Switzerland) · 2025Article
- Species richness prediction and priority conservation planning for rare Michelia species in China.Scientific reports · 2025Article
- Stochastic processes shape the functional and phylogenetic structure of bird assemblages at the mine area in southwest China.Current zoology · 2024Article
- Prediction of Potential Suitable Areas and Priority Protection forPlants (Basel, Switzerland) · 2024Article
- Article
- Environmental Factors Driving the Spatial Distribution Pattern of Venerable Trees in Sichuan Province, China.Plants (Basel, Switzerland) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
As a region known for its high species richness, southwest China plays an important role in preserving global biodiversity and ensuring ecological security in the Yangtze, Mekong, and Salween river basins. However, relatively few studies focus on the response of tree species richness to climate change in this part of China. This study determined the main tree species in southwest China using the Vegetation Map of China and the Flora of China. From simulations of 1970 to 2000 and three forecasts of future benign, moderate, and extreme climate warming anticipated during 2061 to 2080, this study used a maximum entropy model (MaxEnt) to simulate main tree species richness in southwest China. Regions with a peak species richness at intermediate elevations were typically dominated by complex mountainous terrain, such as in the Hengduan Mountains. Likewise, regions with the smallest richness were low-elevation areas, including the Sichuan Basin, and the high-elevation Sichuan-Tibet region. Annual precipitation, minimum temperature of the coldest month, temperature seasonality, and elevation were the most critical factors in estimating tree species richness in southwest China. During future 2061 to 2080 climate scenarios, tree species tended to migrate towards higher elevations as mean temperatures increased. For climate change scenarios RCP2.6-2070 (benign) and RCP4.5-2070 (moderate), the main tree species richness in the study area changed little. During the RCP8.5-2070 extreme scenario, tree species richness decreased. This study provides useful guidance to plan and implement measures to conserve biodiversity.
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