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Du L, Tian S, Sun J, Zhang B, Mu XH, Tang L, Zheng X, Li Y. Ecosystem multifunctionality, maximum height, and biodiversity of shrub communities affected by precipitation fluctuations in Northwest China. FRONTIERS IN PLANT SCIENCE 2023; 14:1259858. [PMID: 37818321 PMCID: PMC10560859 DOI: 10.3389/fpls.2023.1259858] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Accepted: 08/28/2023] [Indexed: 10/12/2023]
Abstract
Introduction Dryland ecosystems face serious threats from climate change. Establishing the spatial pattern of ecosystem multifunctionality, maximum height and the correlation of biodiversity patterns with climate change is important for understanding changes in complex ecosystem processes. However, the understanding of their relationships across large spatial areas remains limited in drylands. Methods Accordingly, this study examined the spatial patterns of ecosystem multifunctionality, maximum height and considered a set of potential environmental drivers by investigating natural shrub communities in Northwest China. Results We found that the ecosystem multifunctionality (EMF) and maximum height of shrub communities were both affected by longitude, which was positively correlated with the precipitation gradient. Specifically, the EMF was driven by high precipitation seasonality, and the maximum height was driven by high precipitation stability during the growing season. Among the multiple biodiversity predictors, species beta diversity (SD-beta) is the most common in determining EMF, although this relationship is weak. Discussion Unlike tree life form, we did not observe biodiversity-maximum height relationships in shrub communities. Based on these results, we suggest that more attention should be paid to the climatical fluctuations mediated biodiversity mechanisms, which are tightly correlated with ecosystem's service capacity and resistance capacity under a rapid climate change scenario in the future.
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Affiliation(s)
- Lan Du
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, Xinjiang, China
- University of Chinese Academy of Sciences, Beijing, China
- Fukang Station of Desert Ecology, Chinese Academy of Sciences, Fukang, Xinjiang, China
| | - Shengchuan Tian
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, Xinjiang, China
- University of Chinese Academy of Sciences, Beijing, China
- Fukang Station of Desert Ecology, Chinese Academy of Sciences, Fukang, Xinjiang, China
| | - Jing Sun
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, Xinjiang, China
- University of Chinese Academy of Sciences, Beijing, China
- Fukang Station of Desert Ecology, Chinese Academy of Sciences, Fukang, Xinjiang, China
| | - Bin Zhang
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, Xinjiang, China
- University of Chinese Academy of Sciences, Beijing, China
- Fukang Station of Desert Ecology, Chinese Academy of Sciences, Fukang, Xinjiang, China
| | - Xiao-Han Mu
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, Xinjiang, China
- University of Chinese Academy of Sciences, Beijing, China
- Fukang Station of Desert Ecology, Chinese Academy of Sciences, Fukang, Xinjiang, China
| | - Lisong Tang
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, Xinjiang, China
- Fukang Station of Desert Ecology, Chinese Academy of Sciences, Fukang, Xinjiang, China
| | - Xinjun Zheng
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, Xinjiang, China
- Fukang Station of Desert Ecology, Chinese Academy of Sciences, Fukang, Xinjiang, China
| | - Yan Li
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, Xinjiang, China
- Fukang Station of Desert Ecology, Chinese Academy of Sciences, Fukang, Xinjiang, China
- State Key Laboratory of Subtropical Silviculture, Zhejiang A and F University, Hangzhou, Zhejiang, China
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Oliveira BF, Moore FC, Dong X. Biodiversity mediates ecosystem sensitivity to climate variability. Commun Biol 2022; 5:628. [PMID: 35761028 PMCID: PMC9237054 DOI: 10.1038/s42003-022-03573-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 06/10/2022] [Indexed: 11/21/2022] Open
Abstract
A rich body of evidence from local-scale experiments and observational studies has revealed stabilizing effects of biodiversity on ecosystem functioning. However, whether these effects emerge across entire regions and continents remains largely overlooked. Here we combine data on the distribution of more than 57,500 plant species and remote-sensing observations throughout the entire Western Hemisphere to investigate the role of multiple facets of plant diversity (species richness, phylogenetic diversity, and functional diversity) in mediating the sensitivity of ecosystems to climate variability at the regional-scale over the past 20 years. We show that, across multiple biomes, regions of greater plant diversity exhibit lower sensitivity (more stable over time) to temperature variability at the interannual and seasonal-scales. While these areas can display lower sensitivity to interannual variability in precipitation, they emerge as highly sensitive to precipitation seasonality. Conserving landscapes of greater diversity may help stabilize ecosystem functioning under climate change, possibly securing the continuous provisions of productivity-related ecosystem service to people. With the help of spatial autoregressive models, the relationship between multiple facets of plant biodiversity and ecosystem sensitivity to climate variability is explored on a landscape-scale.
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Affiliation(s)
- Brunno F Oliveira
- Environmental Science and Policy Department, University of California Davis, Davis, CA, USA. .,Centre for the Synthesis and Analysis of Biodiversity (CESAB), FRB, Montpellier, France.
| | - Frances C Moore
- Environmental Science and Policy Department, University of California Davis, Davis, CA, USA
| | - Xiaoli Dong
- Environmental Science and Policy Department, University of California Davis, Davis, CA, USA
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