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Gong H, Wang H, Wang Y, Zhang S, Liu X, Che J, Wu S, Wu J, Sun X, Zhang S, Yau ST, Wu R. Topological change of soil microbiota networks for forest resilience under global warming. Phys Life Rev 2024; 50:228-251. [PMID: 39178631 DOI: 10.1016/j.plrev.2024.08.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2024] [Revised: 07/31/2024] [Accepted: 08/02/2024] [Indexed: 08/26/2024]
Abstract
Forest management by thinning can mitigate the detrimental impact of increasing drought caused by global warming. Growing evidence shows that the soil microbiota can coordinate the dynamic relationship between forest functions and drought intensity, but how they function as a cohesive whole remains elusive. We outline a statistical topology model to chart the roadmap of how each microbe acts and interacts with every other microbe to shape the dynamic changes of microbial communities under forest management. To demonstrate its utility, we analyze a soil microbiota data collected from a two-way longitudinal factorial experiment involving three stand densities and three levels of rainfall over a growing season in artificial plantations of a forest tree - larix (Larix kaempferi). We reconstruct the most sophisticated soil microbiota networks that code maximally informative microbial interactions and trace their dynamic trajectories across time, space, and environmental signals. By integrating GLMY homology theory, we dissect the topological architecture of these so-called omnidirectional networks and identify key microbial interaction pathways that play a pivotal role in mediating the structure and function of soil microbial communities. The statistical topological model described provides a systems tool for studying how microbial community assembly alters its structure, function and evolution under climate change.
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Affiliation(s)
- Huiying Gong
- School of Grassland Science, Beijing Forestry University, Beijing 100083, China; Beijing Institute of Mathematical Sciences and Applications, Beijing 101408, China
| | - Hongxing Wang
- State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, China
| | - Yu Wang
- Beijing Institute of Mathematical Sciences and Applications, Beijing 101408, China
| | - Shen Zhang
- Qiuzhen College, Tsinghua University, Beijing 100084, China
| | - Xiang Liu
- Beijing Institute of Mathematical Sciences and Applications, Beijing 101408, China
| | - Jincan Che
- School of Grassland Science, Beijing Forestry University, Beijing 100083, China; Beijing Institute of Mathematical Sciences and Applications, Beijing 101408, China
| | - Shuang Wu
- Beijing Institute of Mathematical Sciences and Applications, Beijing 101408, China
| | - Jie Wu
- Beijing Institute of Mathematical Sciences and Applications, Beijing 101408, China
| | - Xiaomei Sun
- State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, China.
| | - Shougong Zhang
- State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, China
| | - Shing-Tung Yau
- Beijing Institute of Mathematical Sciences and Applications, Beijing 101408, China; Qiuzhen College, Tsinghua University, Beijing 100084, China; Yau Mathematical Sciences Center, Tsinghua University, Beijing 100084, China
| | - Rongling Wu
- School of Grassland Science, Beijing Forestry University, Beijing 100083, China; Beijing Institute of Mathematical Sciences and Applications, Beijing 101408, China; Qiuzhen College, Tsinghua University, Beijing 100084, China; Yau Mathematical Sciences Center, Tsinghua University, Beijing 100084, China.
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Wu X, Zheng XJ, Mu XH, Li Y. Differences in Allometric Relationship of Two Dominant Woody Species Among Various Terrains in a Desert Region of Central Asia. FRONTIERS IN PLANT SCIENCE 2021; 12:754887. [PMID: 34858458 PMCID: PMC8631541 DOI: 10.3389/fpls.2021.754887] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Accepted: 10/26/2021] [Indexed: 06/13/2023]
Abstract
The allometric relationship among different functional traits is an ecological strategy for plants to promote resource utilization, which indicates the ability of plants to adapt to environmental changes coordinately. In this study, we conducted a field survey on Haloxylon ammodendron and H. persicum among different terrains (dune crest, eastern slope, western slope and inter-dune) in the Gurbantunggut Desert, obtained their quantitative and morphological characteristics, and analyzed their allometric relationships between plant height and canopy radius, plant height and basal diameter by using standardized major axis estimation. We found that: (1) The dominated terrains of H. ammodendron and H. persicum were different; (2) The individual morphology of the two Haloxylon species changed significantly with the terrains (p < 0.05), with the largest and smallest ones growing on the eastern slope and the inter-dune lowland, respectively; (3) Fixed allometric patterns were observed in the above-ground parts of the two Haloxylon species, as the growth of canopy and basal stem was preferentially to plant height; (4) These allometric relationships were significantly affected by the terrain, and exhibited discrepancy between two species, they both invested less in plant height in windy habitats, such as the dune crest and western slope, but H. ammodendron growing on the western slope and H. persicum growing on the eastern slope invested more in basal diameter for strengthening mechanical support and resources acquisition, respectively. These results indicated that both studied species adopted an ecological strategy that allocating more resources to horizontal expansion rather than vertical growth, the terrain has an important influence on the allometric relationship of their above-ground parts, and the trade-off mechanism of main components investing was different for these two species due to habitat heterogeneity and ecological adaptability.
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Affiliation(s)
- Xue Wu
- College of Resources and Environment Science, Xinjiang University, Urumqi, China
- Key Laboratory of Oasis Ecology, Ministry of Education, Xinjiang University, Urumqi, China
- Ecological Postdoctoral Research Station, Xinjiang University, Urumqi, China
| | - Xin-Jun Zheng
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China
- Fukang Station of Desert Ecology, Chinese Academy of Sciences, Urumqi, China
| | - Xiao-Han Mu
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China
- Fukang Station of Desert Ecology, Chinese Academy of Sciences, Urumqi, China
| | - Yan Li
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou, China
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Seasonal Dynamics of Litterfall in a Sub-Alpine Spruce-Fir Forest on the Eastern Tibetan Plateau: Allometric Scaling Relationships Based on One Year of Observations. FORESTS 2017. [DOI: 10.3390/f8090314] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
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