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青藏高原高寒草地生态系统多功能性的海拔依赖性。

Altitude dependence of alpine grassland ecosystem multifunctionality across the Tibetan Plateau.

机构信息

School of Life Sciences and State Key Lab of Biological Control, Sun Yat-sen University, Guangzhou, 510275, China; State Key Laboratory of Tibetan Plateau Earth System, Resources and Environment (TPESRE), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, 100101, China.

State Key Laboratory of Tibetan Plateau Earth System, Resources and Environment (TPESRE), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, 100101, China.

出版信息

J Environ Manage. 2023 Apr 15;332:117358. doi: 10.1016/j.jenvman.2023.117358. Epub 2023 Jan 30.

Abstract

While altitude affects climatic characteristics, terrestrial plant habitats, and species composition, few studies considered the effects of altitude on ecosystem multifunctionality (EMF). Here, we teased apart the EMF at different altitude with a linear piecewise quantile regression and explore ecosystem functions and environmental factors with EMF along the altitudinal gradient across the Tibetan Plateau. Then, we estimated the response of ecosystem functions to environmental factors, and explain the impact of environmental factors on EMF through the structural equation model. Our data revealed an EMF changepoint at an altitude of about 3900 m where the EMF could be segregated into low- and high-altitude patterns. Our results indicate that water availability drives the EMF mainly through improving soil nutrients and microbe cycling functions in low-altitude regions; conversely, water-heat and phenological conditions regulate the EMF through the role of plant productivity and soil nutrients in high-altitude regions. As such, our EMF analysis suggests that to maintain the long-term stability of the grassland ecosystem, it becomes critical to fully consider the differences in the altitudinal patterns and mechanisms, particularly under the ongoing climate change.

摘要

虽然海拔会影响气候特征、陆地植物生境和物种组成,但很少有研究考虑海拔对生态系统多功能性(EMF)的影响。在这里,我们使用线性分段分位数回归来分解不同海拔的 EMF,并沿着青藏高原的海拔梯度探索生态系统功能和环境因素与 EMF 的关系。然后,我们估计了生态系统功能对环境因素的响应,并通过结构方程模型解释了环境因素对 EMF 的影响。我们的数据揭示了海拔约 3900 米处的 EMF 变化点,EMF 可以分为低海拔和高海拔两种模式。我们的结果表明,水分可用性主要通过提高低海拔地区的土壤养分和微生物循环功能来驱动 EMF;相反,水热和物候条件通过植物生产力和高海拔地区土壤养分的作用来调节 EMF。因此,我们的 EMF 分析表明,为了维持草原生态系统的长期稳定性,充分考虑海拔模式和机制的差异变得至关重要,特别是在当前的气候变化下。

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