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Zhang C, Ndungu CN, Feng L, Huang J, Ba S, Liu W, Cai M. Plant diversity is more important than soil microbial diversity in explaining soil multifunctionality in Qinghai-Tibetan plateau wetlands. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 365:121509. [PMID: 38897088 DOI: 10.1016/j.jenvman.2024.121509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/18/2024] [Revised: 06/11/2024] [Accepted: 06/16/2024] [Indexed: 06/21/2024]
Abstract
The Qinghai-Tibetan Plateau harbors rich and diverse wetlands that provide multiple ecological functions simultaneously. Although the relationships between biodiversity and wetland functioning have been well studied in recent decades, the links between the multiple features of plant and microbial communities and soil multifunctionality (SMF) remain unknown in the high-altitude wetlands that are extremely sensitive to human disturbance. Here, using the single function, averaging, weighted, and multiple-threshold methods, we calculated the SMF of Qinghai-Tibetan wetlands based on 15 variables associated with soil nutrient status, nutrient cycle, and greenhouse gas emission. We then related SMF to multidimensional (species, phylogenetic, and functional) diversity of plants and soil microorganisms and microbial network modules. The results showed that plant diversity explained more variance in SMF than soil microbial diversity, and plant species richness and phylogenetic distance were positive predictors of SMF. Bacterial network modules were more positively related to SMF than fungal network modules, and the alpha diversity of bacterial network modules contributed more to SMF than the diversity of the whole bacterial community. Pediococcus, Hirsutella, and Rhodotorula were biomarkers for SMF and had significant relationships with nitrogen mineralization and greenhouse gas emissions. Together, these results highlight the importance of plant diversity and bacterial network modules in determining the SMF, which are crucial to predicting the response of ecosystem functioning to biodiversity loss under intensifying anthropogenic activities.
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Affiliation(s)
- Caifang Zhang
- CAS Key Laboratory of Aquatic Botany and Watershed Ecology, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, 430074, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Caroline Njambi Ndungu
- CAS Key Laboratory of Aquatic Botany and Watershed Ecology, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, 430074, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Lian Feng
- School of Ecology and Environment, Tibet University, Lhasa 850000, China
| | - Jieya Huang
- School of Ecology and Environment, Tibet University, Lhasa 850000, China
| | - Sang Ba
- School of Ecology and Environment, Tibet University, Lhasa 850000, China; Center for Carbon Neutrality in the Earth's Third Pole, Tibet University, Lhasa 850000, China
| | - Wenzhi Liu
- Center for Carbon Neutrality in the Earth's Third Pole, Tibet University, Lhasa 850000, China; Danjiangkou Wetland Ecosystem Field Scientific Observation and Research Station, Chinese Academy of Sciences & Hubei Province, Wuhan, 430074, China.
| | - Miaomiao Cai
- CAS Key Laboratory of Aquatic Botany and Watershed Ecology, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, 430074, China; Danjiangkou Wetland Ecosystem Field Scientific Observation and Research Station, Chinese Academy of Sciences & Hubei Province, Wuhan, 430074, China.
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An N, Lu N, Wang M, Chen Y, Wu F, Fu B. Plant size traits are key contributors in the spatial variation of net primary productivity across terrestrial biomes in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 923:171412. [PMID: 38447733 DOI: 10.1016/j.scitotenv.2024.171412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Revised: 02/28/2024] [Accepted: 02/29/2024] [Indexed: 03/08/2024]
Abstract
Understanding the spatial variability of ecosystem functions is an important step forward in predicting changes in ecosystems under global transformations. Plant functional traits are important drivers of ecosystem functions such as net primary productivity (NPP). Although trait-based approaches have advanced rapidly, the extent to which specific plant functional traits are linked to the spatial diversity of NPP at a regional scale remains uncertain. Here, we used structural equation models (SEMs) to disentangle the relative effects of abiotic variables (i.e., climate, soil, nitrogen deposition, and human footprint) and biotic variables (i.e., plant functional traits and community structure) on the spatial variation of NPP across China and its eight biomes. Additionally, we investigated the indirect influence of climate and soil on the spatial variation of NPP by directly affecting plant functional traits. Abiotic and biotic variables collectively explained 62.6 % of the spatial differences of NPP within China, and 28.0 %-69.4 % across the eight distinct biomes. The most important abiotic factors, temperature and precipitation, had positive effects for NPP spatial variation. Interestingly, plant functional traits associated with the size of plant organs (i.e., plant height, leaf area, seed mass, and wood density) were the primary biotic drivers, and their positive effects were independent of biome type. Incorporating plant functional traits improved predictions of NPP by 6.7 %-50.2 %, except for the alpine tundra on the Qinghai-Tibet Plateau. Our study identifies the principal factors regulating NPP spatial variation and highlights the importance of plant size traits in predictions of NPP variation at a large scale. These results provide new insights for involving plant size traits in carbon process models.
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Affiliation(s)
- Nannan An
- Key Laboratory for Humid Subtropical Eco-geographical Process of Ministry of Education, School of Geographical Sciences, Fujian Normal University, Fuzhou 350117, China; State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 101408, China
| | - Nan Lu
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 101408, China.
| | - Mengyu Wang
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; Library, Henan University of Science and Technology, Luoyang 471000, China
| | - Yongzhe Chen
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; Department of Geography, The University of Hong Kong, Hongkong 999077, China
| | - Fuzhong Wu
- Key Laboratory for Humid Subtropical Eco-geographical Process of Ministry of Education, School of Geographical Sciences, Fujian Normal University, Fuzhou 350117, China
| | - Bojie Fu
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 101408, China
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Cai M, Zhang C, Ndungu CN, Liu G, Liu W, Zhang Q. Linking ecosystem multifunctionality to microbial community features in rivers along a latitudinal gradient. mSystems 2024; 9:e0014724. [PMID: 38445871 PMCID: PMC11019869 DOI: 10.1128/msystems.00147-24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Accepted: 02/17/2024] [Indexed: 03/07/2024] Open
Abstract
Microorganisms regulate numerous ecosystem functions and show considerable differences along a latitudinal gradient. Although studies have revealed the latitudinal patterns of microbial community structure and single ecosystem function, the latitudinal patterns of ecosystem multifunctionality (EMF) and how microbial communities affect EMF along a latitudinal gradient remain unclear. Here, we collected channel sediments, riparian rhizosphere soils, and riparian bulk soils from 30 rivers across China and calculated EMF using 18 variables related to nitrogen cycling, nutrient pool, plant productivity, and water quality. We also determined microbial diversity (taxonomic and functional) and microbial network complexity using metagenomic sequencing. The results showed that EMF significantly decreased with increasing latitude in riparian rhizosphere and bulk soils but not in channel sediments. Microbial taxonomic and functional richness (observed species) in channel sediments were significantly higher in the low-latitude group than in the high-latitude group. However, microbial co-occurrence networks were more complex in the high-latitude group compared with the low-latitude group. Abiotic factors, primarily geographic and climatic factors, contributed more to EMF than microbial diversity and network complexity parameters in which only betweenness centralization had a significant relationship with EMF. Together, this study provides insight into the latitudinal pattern of EMF in rivers and highlights the importance of large-scale factors in explaining such latitudinal patterns.IMPORTANCEEcosystem multifunctionality (EMF) is the capacity of an ecosystem to provide multiple functions simultaneously. Microorganisms, as dominant drivers of belowground processes, have a profound effect on ecosystem functions. Although studies have revealed the latitudinal patterns of microbial community structure and single ecosystem function, the latitudinal patterns of EMF and how microbial communities affect EMF along a latitudinal gradient remain unclear. We collected channel sediments, riparian rhizosphere soils, and riparian bulk soils from 30 rivers along a latitudinal gradient across China and calculated EMF using 18 variables related to nitrogen cycling, nutrient pool, plant productivity, and water quality. This study fills a critical knowledge gap regarding the latitudinal patterns and drivers of EMF in river ecosystems and gives new insights into how microbial diversity and network complexity affect EMF from a metagenomic perspective.
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Affiliation(s)
- Miaomiao Cai
- CAS Key Laboratory of Aquatic Botany and Watershed Ecology, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, China
- Danjiangkou Wetland Ecosystem Field Scientific Observation and Research Station, Chinese Academy of Sciences & Hubei Province, Wuhan, China
| | - Caifang Zhang
- CAS Key Laboratory of Aquatic Botany and Watershed Ecology, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Caroline Njambi Ndungu
- CAS Key Laboratory of Aquatic Botany and Watershed Ecology, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Guihua Liu
- CAS Key Laboratory of Aquatic Botany and Watershed Ecology, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, China
- Danjiangkou Wetland Ecosystem Field Scientific Observation and Research Station, Chinese Academy of Sciences & Hubei Province, Wuhan, China
| | - Wenzhi Liu
- CAS Key Laboratory of Aquatic Botany and Watershed Ecology, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, China
- Danjiangkou Wetland Ecosystem Field Scientific Observation and Research Station, Chinese Academy of Sciences & Hubei Province, Wuhan, China
| | - Quanfa Zhang
- CAS Key Laboratory of Aquatic Botany and Watershed Ecology, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, China
- Danjiangkou Wetland Ecosystem Field Scientific Observation and Research Station, Chinese Academy of Sciences & Hubei Province, Wuhan, China
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Liu Y, Hogan JA, Lichstein JW, Guralnick RP, Soltis DE, Soltis PS, Scheiner SM. Biodiversity and productivity in eastern US forests. Proc Natl Acad Sci U S A 2024; 121:e2314231121. [PMID: 38527197 PMCID: PMC10998592 DOI: 10.1073/pnas.2314231121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Accepted: 02/06/2024] [Indexed: 03/27/2024] Open
Abstract
Despite experimental and observational studies demonstrating that biodiversity enhances primary productivity, the best metric for predicting productivity at broad geographic extents-functional trait diversity, phylogenetic diversity, or species richness-remains unknown. Using >1.8 million tree measurements from across eastern US forests, we quantified relationships among functional trait diversity, phylogenetic diversity, species richness, and productivity. Surprisingly, functional trait and phylogenetic diversity explained little variation in productivity that could not be explained by tree species richness. This result was consistent across the entire eastern United States, within ecoprovinces, and within data subsets that controlled for biomass or stand age. Metrics of functional trait and phylogenetic diversity that were independent of species richness were negatively correlated with productivity. This last result suggests that processes that determine species sorting and packing are likely important for the relationships between productivity and biodiversity. This result also demonstrates the potential confusion that can arise when interdependencies among different diversity metrics are ignored. Our findings show the value of species richness as a predictive tool and highlight gaps in knowledge about linkages between functional diversity and ecosystem functioning.
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Affiliation(s)
- Yunpeng Liu
- Institute of Ecology, College of Urban and Environmental Sciences, and Key Laboratory of Earth Surface Processes of Ministry of Education, Peking University, Beijing100871, China
- Florida Museum of Natural History, University of Florida, Gainesville, FL32611
| | - J. Aaron Hogan
- Department of Biology, University of Florida, Gainesville, FL32611
| | | | - Robert P. Guralnick
- Florida Museum of Natural History, University of Florida, Gainesville, FL32611
- Genetics Institute, University of Florida, Gainesville, FL32610
- Biodiversity Institute, University of Florida, Gainesville, FL32611
| | - Douglas E. Soltis
- Florida Museum of Natural History, University of Florida, Gainesville, FL32611
- Department of Biology, University of Florida, Gainesville, FL32611
- Genetics Institute, University of Florida, Gainesville, FL32610
- Biodiversity Institute, University of Florida, Gainesville, FL32611
| | - Pamela S. Soltis
- Florida Museum of Natural History, University of Florida, Gainesville, FL32611
- Genetics Institute, University of Florida, Gainesville, FL32610
- Biodiversity Institute, University of Florida, Gainesville, FL32611
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Sun Y, Li H, Zhang J, Wang H, Cui X, Gao X, Qiao W, Yang Y. Assembly mechanisms of microbial communities in plastisphere related to species taxonomic types and habitat niches. MARINE POLLUTION BULLETIN 2024; 198:115894. [PMID: 38101062 DOI: 10.1016/j.marpolbul.2023.115894] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Revised: 10/26/2023] [Accepted: 12/02/2023] [Indexed: 12/17/2023]
Abstract
A lot of plastic floats are presented in the kelp cultivation zone, enabling us to effectively evaluate the differences between surface water (SW) and plastic-attached (PA) microbial communities. In this study, we explored the microbial communities (both bacteria and protists) in SW and PA niches during the kelp cultivation activities. Effects of habitat niches on the diversity and composition of microbial communities were found. Beta partitioning and core taxa analyses showed species turnover and local species pool governed the microbial community assembly, and they contributed more to bacteria and protists, respectively. Based on the results of null model, bacterial communities presented a more deterministic and homogeneous assembly compared to protistan communities. Moreover, microbial communities in PA niche had higher species turnover and homogenizing assembly compared to the SW niche. The results of this study supplemented the theory of microbial community assembly and expanded our understanding of protists in plastisphere.
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Affiliation(s)
- Yi Sun
- State Environmental Protection Key Laboratory of Coastal Ecosystem, National Marine Environmental Monitoring Center, Dalian 116023, China
| | - Hongjun Li
- State Environmental Protection Key Laboratory of Coastal Ecosystem, National Marine Environmental Monitoring Center, Dalian 116023, China.
| | - Jinyong Zhang
- State Environmental Protection Key Laboratory of Coastal Ecosystem, National Marine Environmental Monitoring Center, Dalian 116023, China
| | - Haining Wang
- State Environmental Protection Key Laboratory of Coastal Ecosystem, National Marine Environmental Monitoring Center, Dalian 116023, China
| | - Xiaoyu Cui
- State Environmental Protection Key Laboratory of Coastal Ecosystem, National Marine Environmental Monitoring Center, Dalian 116023, China
| | - Xin Gao
- State Environmental Protection Key Laboratory of Coastal Ecosystem, National Marine Environmental Monitoring Center, Dalian 116023, China
| | - Wenwen Qiao
- State Environmental Protection Key Laboratory of Coastal Ecosystem, National Marine Environmental Monitoring Center, Dalian 116023, China
| | - Yuyi Yang
- Key Laboratory of Aquatic Botany and Watershed Ecology Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, China
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Chen Y, Huang X, Lang X, Tang R, Zhang R, Li S, Su J. Effects of plant diversity, soil microbial diversity, and network complexity on ecosystem multifunctionality in a tropical rainforest. FRONTIERS IN PLANT SCIENCE 2023; 14:1238056. [PMID: 37794931 PMCID: PMC10545900 DOI: 10.3389/fpls.2023.1238056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/10/2023] [Accepted: 08/25/2023] [Indexed: 10/06/2023]
Abstract
Introduction Plant diversity and soil microbial diversity are important driving factors in sustaining ecosystem multifunctionality (EMF) in terrestrial ecosystems. However, little is known about the relative importance of plant diversity, soil microbial diversity, and soil microbial network complexity to EMF in tropical rainforests. Methods This study took the tropical rainforest in Xishuangbanna, Yunnan Province, China as the research object, and quantified various ecosystem functions such as soil organic carbon stock, soil nutrient cycling, biomass production, and water regulation in the tropical rainforest to explore the relationship and effect of plant diversity, soil microbial diversity, soil microbial network complexity and EMF. Results Our results exhibited that EMF decreased with increasing liana species richness, soil fungal diversity, and soil fungal network complexity, which followed a trend of initially increasing and then decreasing with soil bacterial diversity while increasing with soil bacterial network complexity. Soil microbial diversity and plant diversity primarily affected soil nutrient cycling. Additionally, liana species richness had a significant negative effect on soil organic carbon stocks. The random forest model suggested that liana species richness, soil bacterial network complexity, and soil fungal network complexity indicated more relative importance in sustaining EMF. The structural equation model revealed that soil bacterial network complexity and tree species richness displayed the significantly positive effects on EMF, while liana species richness significantly affected EMF via negative pathway. We also observed that soil microbial diversity indirectly affected EMF through soil microbial network complexity. Soil bulk density had a significant and negative effect on liana species richness, thus indirectly influencing EMF. Simultaneously, we further found that liana species richness was the main indicator of sustaining EMF in a tropical rainforest, while soil bacterial diversity was the primary driving factor. Discussion Our findings provide new insight into the relationship between biodiversity and EMF in a tropical rainforest ecosystem and the relative contribution of plant and soil microibal diversity to ecosystem function with increasing global climate change.
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Affiliation(s)
- Yanxuan Chen
- Institute of Highland Forest Science, Chinese Academy of Forestry, Kunming, China
| | - Xiaobo Huang
- Institute of Highland Forest Science, Chinese Academy of Forestry, Kunming, China
- Pu’er Forest Ecosystem Research Station, National Forestry and Grassland Administration of China, Kunming, China
- Pu’er Forest Ecosystem Observation and Research Station of Yunnan Province, Science and Technology Department of Yunnan Province, Kunming, China
| | - Xuedong Lang
- Institute of Highland Forest Science, Chinese Academy of Forestry, Kunming, China
- Pu’er Forest Ecosystem Research Station, National Forestry and Grassland Administration of China, Kunming, China
- Pu’er Forest Ecosystem Observation and Research Station of Yunnan Province, Science and Technology Department of Yunnan Province, Kunming, China
| | - Rong Tang
- Institute of Highland Forest Science, Chinese Academy of Forestry, Kunming, China
- Pu’er Forest Ecosystem Research Station, National Forestry and Grassland Administration of China, Kunming, China
- Pu’er Forest Ecosystem Observation and Research Station of Yunnan Province, Science and Technology Department of Yunnan Province, Kunming, China
| | - Rui Zhang
- Institute of Highland Forest Science, Chinese Academy of Forestry, Kunming, China
- Pu’er Forest Ecosystem Research Station, National Forestry and Grassland Administration of China, Kunming, China
- Pu’er Forest Ecosystem Observation and Research Station of Yunnan Province, Science and Technology Department of Yunnan Province, Kunming, China
| | - Shuaifeng Li
- Institute of Highland Forest Science, Chinese Academy of Forestry, Kunming, China
- Pu’er Forest Ecosystem Research Station, National Forestry and Grassland Administration of China, Kunming, China
- Pu’er Forest Ecosystem Observation and Research Station of Yunnan Province, Science and Technology Department of Yunnan Province, Kunming, China
| | - Jianrong Su
- Institute of Highland Forest Science, Chinese Academy of Forestry, Kunming, China
- Pu’er Forest Ecosystem Research Station, National Forestry and Grassland Administration of China, Kunming, China
- Pu’er Forest Ecosystem Observation and Research Station of Yunnan Province, Science and Technology Department of Yunnan Province, Kunming, China
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Zhang Y. Building a bridge between biodiversity and ecosystem multifunctionality. GLOBAL CHANGE BIOLOGY 2023. [PMID: 37186350 DOI: 10.1111/gcb.16729] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 04/15/2023] [Indexed: 05/17/2023]
Affiliation(s)
- Yunhai Zhang
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China
- China National Botanical Garden, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
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