1
|
Fan B, Gong Z, Xin X, Liu Y, He L, Gao Y, Ren A, Zhao N. Both evenness and dominant species identity have effects on litter decomposition. Ecol Evol 2024; 14:e11052. [PMID: 38414570 PMCID: PMC10896676 DOI: 10.1002/ece3.11052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 01/24/2024] [Accepted: 02/05/2024] [Indexed: 02/29/2024] Open
Abstract
Exploring how interactions between species evenness and dominant species identity affect litter decomposition processes is vital to understanding the relationship between biodiversity and ecosystem functioning in the context of global changes. We carried out a 127-day litter decomposition experiment under controlled conditions, with interactions of four species evenness types (high, medium, low and single species) and three dominant species identity (Leymus chinensis, Serratula centauroides, Artemisia capillaris). After collecting the remaining litter, we estimated how evenness and dominant species identity affected litter mass loss rate, carbon (C) loss rate, nitrogen (N) loss rate and remaining litter C/N directly or indirectly, and assessed relative mixture effects (RMEs) on litter mass loss. The main results are shown as follows. (1) By generalized linear models, litter mass loss rate was significantly affected by evenness after 69-day decomposition; N loss rate was affected by dominant species identity after 69-day decomposition, with treatment dominated by Serratula centauroides being at least 9.26% higher than that dominated by any of other species; and remaining litter C/N was affected by the interactions between evenness and dominant species identity after 30-, 69- and 127-day decomposition. (2) Twenty-three out of 27 RMEs were additive, and dominant species identity showed a significant effect on RMEs after 127-day decomposition. (3) By confirmatory path analyses, litter mass loss rate was affected by dominant species identity directly after 127-day decomposition, and by both species evenness and dominant species identity indirectly which was mediated by initial litter functional dispersion (FDis) after 30- and 69-day decomposition; remaining litter C/N was affected by evenness indirectly which was mediated by initial litter FDis after 127-day decomposition. These findings highlight the importance of evenness and dominant species identity on litter decomposition. The study provides insights into communities during retrogressive successions in semi-arid grasslands in the context of global changes.
Collapse
Affiliation(s)
- Baijie Fan
- Department of Plant Biology and Ecology, College of Life Science Nankai University Tianjin China
| | - Ziqing Gong
- Department of Plant Biology and Ecology, College of Life Science Nankai University Tianjin China
| | - Xiaojing Xin
- Department of Plant Biology and Ecology, College of Life Science Nankai University Tianjin China
| | - Yulin Liu
- Department of Plant Biology and Ecology, College of Life Science Nankai University Tianjin China
| | - Luoyang He
- Department of Plant Biology and Ecology, College of Life Science Nankai University Tianjin China
| | - Yubao Gao
- Department of Plant Biology and Ecology, College of Life Science Nankai University Tianjin China
| | - Anzhi Ren
- Department of Plant Biology and Ecology, College of Life Science Nankai University Tianjin China
| | - Nianxi Zhao
- Department of Plant Biology and Ecology, College of Life Science Nankai University Tianjin China
| |
Collapse
|
2
|
Chen Y, Wang J, Jiang L, Li H, Wang H, Lv G, Li X. Prediction of spatial distribution characteristics of ecosystem functions based on a minimum data set of functional traits of desert plants. FRONTIERS IN PLANT SCIENCE 2023; 14:1131778. [PMID: 37332722 PMCID: PMC10272538 DOI: 10.3389/fpls.2023.1131778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Accepted: 05/10/2023] [Indexed: 06/20/2023]
Abstract
The relationship between plant functional traits and ecosystem function is a hot topic in current ecological research, and community-level traits based on individual plant functional traits play important roles in ecosystem function. In temperate desert ecosystems, which functional trait to use to predict ecosystem function is an important scientific question. In this study, the minimum data sets of functional traits of woody (wMDS) and herbaceous (hMDS) plants were constructed and used to predict the spatial distribution of C, N, and P cycling in ecosystems. The results showed that the wMDS included plant height, specific leaf area, leaf dry weight, leaf water content, diameter at breast height (DBH), leaf width, and leaf thickness, and the hMDS included plant height, specific leaf area, leaf fresh weight, leaf length, and leaf width. The linear regression results based on the cross-validations (FTEIW - L, FTEIA - L, FTEIW - NL, and FTEIA - NL) for the MDS and TDS (total data set) showed that the R2 (coefficients of determination) for wMDS were 0.29, 0.34, 0.75, and 0.57, respectively, and those for hMDS were 0.82, 0.75, 0.76, and 0.68, respectively, proving that the MDSs can replace the TDS in predicting ecosystem function. Then, the MDSs were used to predict the C, N, and P cycling in the ecosystem. The results showed that non-linear models RF and BPNN were able to predict the spatial distributions of C, N and P cycling, and the distributions showed inconsistent patterns between different life forms under moisture restrictions. The C, N, and P cycling showed strong spatial autocorrelation and were mainly influenced by structural factors. Based on the non-linear models, the MDSs can be used to accurately predict the C, N, and P cycling, and the predicted values of woody plant functional traits visualized by regression kriging were closer to the kriging results based on raw values. This study provides a new perspective for exploring the relationship between biodiversity and ecosystem function.
Collapse
Affiliation(s)
- Yudong Chen
- College of Ecology and Environment, Xinjiang University, Urumqi, China
- Key Laboratory of Oasis Ecology of Education Ministry, Xinjiang University, Urumqi, China
- Xinjiang Jinghe Observation and Research Station of Temperate Desert Ecosystem, Ministry of Education, Jinghe, China
| | - Jinlong Wang
- College of Ecology and Environment, Xinjiang University, Urumqi, China
- Key Laboratory of Oasis Ecology of Education Ministry, Xinjiang University, Urumqi, China
- Xinjiang Jinghe Observation and Research Station of Temperate Desert Ecosystem, Ministry of Education, Jinghe, China
| | - Lamei Jiang
- College of Ecology and Environment, Xinjiang University, Urumqi, China
- Key Laboratory of Oasis Ecology of Education Ministry, Xinjiang University, Urumqi, China
- Xinjiang Jinghe Observation and Research Station of Temperate Desert Ecosystem, Ministry of Education, Jinghe, China
| | - Hanpeng Li
- College of Ecology and Environment, Xinjiang University, Urumqi, China
- Key Laboratory of Oasis Ecology of Education Ministry, Xinjiang University, Urumqi, China
- Xinjiang Jinghe Observation and Research Station of Temperate Desert Ecosystem, Ministry of Education, Jinghe, China
| | - Hengfang Wang
- College of Ecology and Environment, Xinjiang University, Urumqi, China
- Key Laboratory of Oasis Ecology of Education Ministry, Xinjiang University, Urumqi, China
- Xinjiang Jinghe Observation and Research Station of Temperate Desert Ecosystem, Ministry of Education, Jinghe, China
| | - Guanghui Lv
- College of Ecology and Environment, Xinjiang University, Urumqi, China
- Key Laboratory of Oasis Ecology of Education Ministry, Xinjiang University, Urumqi, China
- Xinjiang Jinghe Observation and Research Station of Temperate Desert Ecosystem, Ministry of Education, Jinghe, China
| | - Xiaotong Li
- College of Ecology and Environment, Xinjiang University, Urumqi, China
- Key Laboratory of Oasis Ecology of Education Ministry, Xinjiang University, Urumqi, China
- Xinjiang Jinghe Observation and Research Station of Temperate Desert Ecosystem, Ministry of Education, Jinghe, China
| |
Collapse
|
3
|
Changes in plant biodiversity facets of rocky outcrops and their surrounding rangelands across precipitation and soil gradients. Sci Rep 2022; 12:9022. [PMID: 35637253 PMCID: PMC9151709 DOI: 10.1038/s41598-022-13123-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2021] [Accepted: 05/13/2022] [Indexed: 11/22/2022] Open
Abstract
Climate and soil factors induce substantial controls over plant biodiversity in stressful ecosystems. Despite of some studies on plant biodiversity in extreme ecosystems including rocky outcrops, simultaneous effects of climate and soil factors have rarely been studied on different facets of biodiversity including taxonomic and functional diversity in these ecosystems. In addition, we know little about plant biodiversity variations in such extreme ecosystems compared to natural environments. It seems that environmental factors acting in different spatial scales specifically influence some facets of plant biodiversity. Therefore, we studied changes in taxonomic and functional diversity along precipitation and soil gradients in both landscapes (i) rocky outcrops and (ii) their nearby rangeland sites in northeast of Iran. In this regard, we considered six sites across precipitation and soil gradients in each landscape, and established 90 1m2 quadrates in them (i.e. 15 quadrats in each site; 15 × 6 = 90 in each landscape). Then, taxonomic and functional diversity were measured using RaoQ index, FDis and CWM indices. Finally, we assessed impacts of precipitation and soil factors on biodiversity indices in both landscapes by performing regression models and variation partitioning procedure. The patterns of taxonomic diversity similarly showed nonlinear changes along the precipitation and soil factors in both landscapes (i.e. outcrop and rangeland). However, we found a more negative and significant trends of variation in functional diversity indices (except for CWMSLA) across precipitation and soil factors in outcrops than their surrounding rangelands. Variations of plant biodiversity were more explained by precipitation factors in surrounding rangelands, whereas soil factors including organic carbon had more consistent and significant effects on plant biodiversity in outcrops. Therefore, our results represent important impacts of soil factors in structuring plant biodiversity facets in stressful ecosystems. While, environmental factors acting in regional and broad scales such as precipitation generally shape vegetation and plant biodiversity patterns in natural ecosystems. We can conclude that rocky outcrops provide suitable microenvironments to present plant species with similar yields that are less able to be present in rangeland ecosystems.
Collapse
|
4
|
Favoreto Campanharo Í, Martins SV, Villa PM, Correa Kruschewsky G, Aparecida Dias A, Haruki Nabeta F. Functional composition enhances aboveground biomass stock undergoing active forest restoration on mining tailings in Mariana, Brazil. Restor Ecol 2021. [DOI: 10.1111/rec.13399] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Ítalo Favoreto Campanharo
- Forest Restoration Laboratory, Department of Forest Engineering Universidade Federal de Viçosa Viçosa Brazil
| | - Sebastião V. Martins
- Forest Restoration Laboratory, Department of Forest Engineering Universidade Federal de Viçosa Viçosa Brazil
| | - Pedro M. Villa
- Forest Restoration Laboratory, Department of Forest Engineering Universidade Federal de Viçosa Viçosa Brazil
| | | | | | | |
Collapse
|
5
|
Lv P, Sun S, Medina‐Roldánd E, Zhao S, Hu Y, Guo A, Zuo X. Effects of habitat types on the dynamic changes in allocation in carbon and nitrogen storage of vegetation-soil system in sandy grasslands: How habitat types affect C and N allocation? Ecol Evol 2021; 11:9079-9091. [PMID: 34257945 PMCID: PMC8258200 DOI: 10.1002/ece3.7751] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Revised: 05/05/2021] [Accepted: 05/18/2021] [Indexed: 11/06/2022] Open
Abstract
The progressively restoration of degraded vegetation in semiarid and arid desertified areas undoubtedly formed different habitat types. The most plants regulate their growth by fixing carbon with their energy deriving from photosynthesis; carbon (C) and nitrogen (N) play the crucial role in regulating plant growth, community structure, and function in the vegetation restoration progress. However, it is still unclear how habitat types affect the dynamic changes in allocation in C and N storage of vegetation-soil system in sandy grasslands. Here, we investigated plant community characteristics and soil properties across three successional stages of habitat types: semi-fixed dunes (SFD), fixed dunes (FD), and grasslands (G) in 2011, 2013, and 2015. We also examined the C and N concentrations of vegetation-soil system and estimated their C and N storage. The C and N storage of vegetation system, soil, and vegetation-soil system remarkably increased from SFD to G. The litter C and N storage in SFD, N storage of vegetation system in SFD, and N storage of soil and vegetation-soil system in FD increased from 2011 to 2015, while aboveground plant C and N storage of FD were higher in 2011 than in 2013 and 2015. Most of C and N were sequestered in soil in the vegetation restoration progress. These results suggest that the dynamic changes in allocation in C and N storage in vegetation-soil systems varied with habitat types. Our study highlights that SFD has higher N sequestration rate in vegetation, while FD has the considerably N sequestration rate in the soil.
Collapse
Affiliation(s)
- Peng Lv
- Naiman Desertification Research StationNorthwest Institute of Eco‐Environment and ResourcesChinese Academy of SciencesLanzhouChina
- Urat Desert‐grassland Research StationNorthwest Institute of Eco‐Environment and ResourcesChinese Academy of SciencesLanzhouChina
- University of Chinese Academy of SciencesBeijingChina
| | - Shanshan Sun
- Naiman Desertification Research StationNorthwest Institute of Eco‐Environment and ResourcesChinese Academy of SciencesLanzhouChina
- University of Chinese Academy of SciencesBeijingChina
| | - Eduardo Medina‐Roldánd
- Department of Health and Environmental SciencesXi'an Jiao Tong‐Liverpool UniversitySuzhouChina
| | - Shenglong Zhao
- Urat Desert‐grassland Research StationNorthwest Institute of Eco‐Environment and ResourcesChinese Academy of SciencesLanzhouChina
- University of Chinese Academy of SciencesBeijingChina
| | - Ya Hu
- Urat Desert‐grassland Research StationNorthwest Institute of Eco‐Environment and ResourcesChinese Academy of SciencesLanzhouChina
- University of Chinese Academy of SciencesBeijingChina
| | - Aixia Guo
- Urat Desert‐grassland Research StationNorthwest Institute of Eco‐Environment and ResourcesChinese Academy of SciencesLanzhouChina
- University of Chinese Academy of SciencesBeijingChina
| | - Xiaoan Zuo
- Naiman Desertification Research StationNorthwest Institute of Eco‐Environment and ResourcesChinese Academy of SciencesLanzhouChina
- Urat Desert‐grassland Research StationNorthwest Institute of Eco‐Environment and ResourcesChinese Academy of SciencesLanzhouChina
| |
Collapse
|
6
|
Hu YK, Pan X, Liu XY, Fu ZX, Zhang MY. Above- and Belowground Plant Functional Composition Show Similar Changes During Temperate Forest Swamp Succession. FRONTIERS IN PLANT SCIENCE 2021; 12:658883. [PMID: 34262575 PMCID: PMC8274568 DOI: 10.3389/fpls.2021.658883] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Accepted: 05/21/2021] [Indexed: 06/13/2023]
Abstract
Plant functional composition, defined by both community-weighted mean (CWM) traits and functional diversity, can provide insights into plant ecological strategies and community assembly. However, our understanding of plant functional composition during succession is largely based on aboveground traits. Here we investigated community-level traits and functional diversity for six pairs of analogous leaf and fine root traits of understory plants in a temperate forest swamp during succession with a decrease in soil pH and nutrient availability. CWMs of traits related to resource acquisition (including specific leaf area, specific root length, leaf N, leaf P, root N, and root P) decreased with succession, whereas those related to resource conservation (leaf dry matter content, root dry matter content, leaf tissue density, leaf C, and root C) increased along the forest swamp successional gradient. Multi-trait functional dispersion (FDis) of both leaf and fine root traits tended to decrease along the successional gradient, but functional richness and evenness were highest at the middle successional stage. Moreover, FDis of individual plant traits except N showed the same pattern as multi-trait FDis. Soil pH and nutrient availability were the main drivers of successional changes in both CWM traits and FDis. The changes of community-level traits along succession indicated a shift from acquisitive to conservative strategy of understory plants during forest swamp succession. Similar trends in leaf and fine root functional diversity along succession may indicate above- and belowground functional diversity are coordinated during the processes of plant community assembly. These findings of linkages between above- and belowground plant functional composition have important implications for plant community dynamics and assembly rules.
Collapse
Affiliation(s)
- Yu-Kun Hu
- Beijing Key Laboratory of Wetland Services and Restoration, Institute of Wetland Research, Chinese Academy of Forestry, Beijing, China
- Hengshuihu National Wetland Ecosystem Research Station, Hengshui, China
| | - Xu Pan
- Beijing Key Laboratory of Wetland Services and Restoration, Institute of Wetland Research, Chinese Academy of Forestry, Beijing, China
| | - Xu-Yan Liu
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
| | - Zhi-Xi Fu
- College of Life Sciences, Sichuan Normal University, Chengdu, China
| | - Man-Yin Zhang
- Beijing Key Laboratory of Wetland Services and Restoration, Institute of Wetland Research, Chinese Academy of Forestry, Beijing, China
- Hengshuihu National Wetland Ecosystem Research Station, Hengshui, China
| |
Collapse
|
7
|
Wang M, Lu N, An N, Fu B. A Trait-Based Approach for Understanding Changes in Carbon Sequestration in Semi-Arid Grassland During Succession. Ecosystems 2021. [DOI: 10.1007/s10021-021-00646-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
|
8
|
Zhao S, Zhang T, Yue P, Lv P, Hu Y, Medina‐Roldán E, Zuo X. Increased grazing intensities induce differentiation of the relationships between functional traits and aboveground plant biomass in shrub‐ and grass‐dominated community in desert steppe. Ecol Res 2021. [DOI: 10.1111/1440-1703.12219] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- Shenglong Zhao
- Urat Desert‐Grassland Research Station Northwest Institute of Eco‐Environment and Resources, Chinese Academy of Sciences Lanzhou China
- Naiman Desertification Research Station Northwest Institute of Eco‐Environment and Resources, Chinese Academy of Sciences Lanzhou China
- University of Chinese Academy of Sciences Beijing China
| | - Tonghui Zhang
- Naiman Desertification Research Station Northwest Institute of Eco‐Environment and Resources, Chinese Academy of Sciences Lanzhou China
| | - Ping Yue
- Urat Desert‐Grassland Research Station Northwest Institute of Eco‐Environment and Resources, Chinese Academy of Sciences Lanzhou China
| | - Peng Lv
- Urat Desert‐Grassland Research Station Northwest Institute of Eco‐Environment and Resources, Chinese Academy of Sciences Lanzhou China
- Naiman Desertification Research Station Northwest Institute of Eco‐Environment and Resources, Chinese Academy of Sciences Lanzhou China
- University of Chinese Academy of Sciences Beijing China
| | - Ya Hu
- Urat Desert‐Grassland Research Station Northwest Institute of Eco‐Environment and Resources, Chinese Academy of Sciences Lanzhou China
- University of Chinese Academy of Sciences Beijing China
| | - Eduardo Medina‐Roldán
- Department of Health and Environmental Science Xi'an Jiaotong‐Liverpool University Suzhou China
| | - Xiaoan Zuo
- Urat Desert‐Grassland Research Station Northwest Institute of Eco‐Environment and Resources, Chinese Academy of Sciences Lanzhou China
- Naiman Desertification Research Station Northwest Institute of Eco‐Environment and Resources, Chinese Academy of Sciences Lanzhou China
| |
Collapse
|
9
|
van der Plas F, Schröder-Georgi T, Weigelt A, Barry K, Meyer S, Alzate A, Barnard RL, Buchmann N, de Kroon H, Ebeling A, Eisenhauer N, Engels C, Fischer M, Gleixner G, Hildebrandt A, Koller-France E, Leimer S, Milcu A, Mommer L, Niklaus PA, Oelmann Y, Roscher C, Scherber C, Scherer-Lorenzen M, Scheu S, Schmid B, Schulze ED, Temperton V, Tscharntke T, Voigt W, Weisser W, Wilcke W, Wirth C. Plant traits alone are poor predictors of ecosystem properties and long-term ecosystem functioning. Nat Ecol Evol 2020; 4:1602-1611. [PMID: 33020598 DOI: 10.1038/s41559-020-01316-9] [Citation(s) in RCA: 53] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Accepted: 08/27/2020] [Indexed: 01/06/2023]
Abstract
Earth is home to over 350,000 vascular plant species that differ in their traits in innumerable ways. A key challenge is to predict how natural or anthropogenically driven changes in the identity, abundance and diversity of co-occurring plant species drive important ecosystem-level properties such as biomass production or carbon storage. Here, we analyse the extent to which 42 different ecosystem properties can be predicted by 41 plant traits in 78 experimentally manipulated grassland plots over 10 years. Despite the unprecedented number of traits analysed, the average percentage of variation in ecosystem properties jointly explained was only moderate (32.6%) within individual years, and even much lower (12.7%) across years. Most other studies linking ecosystem properties to plant traits analysed no more than six traits and, when including only six traits in our analysis, the average percentage of variation explained in across-year levels of ecosystem properties dropped to 4.8%. Furthermore, we found on average only 12.2% overlap in significant predictors among ecosystem properties, indicating that a small set of key traits able to explain multiple ecosystem properties does not exist. Our results therefore suggest that there are specific limits to the extent to which traits per se can predict the long-term functional consequences of biodiversity change, so that data on additional drivers, such as interacting abiotic factors, may be required to improve predictions of ecosystem property levels.
Collapse
Affiliation(s)
- Fons van der Plas
- Systematic Botany and Functional Biodiversity, Life Science, Leipzig University, Leipzig, Germany.
| | - Thomas Schröder-Georgi
- Systematic Botany and Functional Biodiversity, Life Science, Leipzig University, Leipzig, Germany
| | - Alexandra Weigelt
- Systematic Botany and Functional Biodiversity, Life Science, Leipzig University, Leipzig, Germany.,German Centre for Integrative Biodiversity Research, Halle-Jena-Leipzig, Leipzig, Germany
| | - Kathryn Barry
- Systematic Botany and Functional Biodiversity, Life Science, Leipzig University, Leipzig, Germany.,German Centre for Integrative Biodiversity Research, Halle-Jena-Leipzig, Leipzig, Germany
| | - Sebastian Meyer
- Terrestrial Ecology Research Group, School of Life Sciences Weihenstephan, Technical University of Munich, Munich, Germany
| | - Adriana Alzate
- German Centre for Integrative Biodiversity Research, Halle-Jena-Leipzig, Leipzig, Germany
| | - Romain L Barnard
- Agroécologie, AgroSup Dijon, INRA, Université Bourgogne, Université Bourgogne Franche-Comté, Dijon, France
| | | | - Hans de Kroon
- Department of Experimental Plant Ecology, Institute for Water and Wetland Research, Radboud University Nijmegen, Nijmegen, the Netherlands
| | - Anne Ebeling
- Institute of Ecology and Evolution, University Jena, Jena, Germany
| | - Nico Eisenhauer
- German Centre for Integrative Biodiversity Research, Halle-Jena-Leipzig, Leipzig, Germany.,Institute of Biology, Leipzig University, Leipzig, Germany
| | | | - Markus Fischer
- Institute of Plant Sciences, University of Bern, Bern, Switzerland
| | - Gerd Gleixner
- Max Planck Institute for Biogeochemistry, Jena, Germany
| | - Anke Hildebrandt
- German Centre for Integrative Biodiversity Research, Halle-Jena-Leipzig, Leipzig, Germany.,Helmholtz Centre for Environmental Research-UFZ, Leipzig, Germany.,Friedrich-Schiller-University Jena, Jena, Germany
| | | | - Sophia Leimer
- Institute of Geography and Geoecology, Karlsruhe Institute of Technology, Karlsruhe, Germany
| | - Alexandru Milcu
- Ecotron Européen de Montpellier, Centre National de la Recherche Scientifique, Montferrier-sur-Lez, France.,Centre d'Ecologie Fonctionnelle et Evolutive, CNRS-Université de Montpellier-Université Paul-Valéry Montpellier-EPHE, Montpellier, France
| | - Liesje Mommer
- Plant Ecology and Nature Conservation group, Wageningen University, Wageningen, the Netherlands
| | - Pascal A Niklaus
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland
| | | | - Christiane Roscher
- German Centre for Integrative Biodiversity Research, Halle-Jena-Leipzig, Leipzig, Germany.,Department of Physiological Diversity, UFZ, Helmholtz Centre for Environmental Research, Leipzig, Germany
| | - Christoph Scherber
- Institute of Landscape Ecology, University of Münster, Münster, Germany.,Centre for Biodiversity Monitoring, Zoological Research Museum Alexander Koenig, Bonn, Germany
| | | | - Stefan Scheu
- Centre of Biodiversity and Sustainable Land Use, University of Göttingen, Göttingen, Germany.,J.F. Blumenbach Institute of Zoology and Anthropology, Animal Ecology, University of Göttingen, Göttingen, Germany
| | - Bernhard Schmid
- Department of Geography, University of Zurich, Zurich, Switzerland.,Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing, China
| | | | - Vicky Temperton
- Leuphana University Lüneburg, Institute of Ecology, Universitätsallee 1, Lüneburg, Germany
| | - Teja Tscharntke
- Agroecology, Dept. of Crop Sciences, University of Göttingen, Göttingen, Germany
| | - Winfried Voigt
- Institute of Ecology and Evolution, University Jena, Jena, Germany
| | - Wolfgang Weisser
- Terrestrial Ecology Research Group, School of Life Sciences Weihenstephan, Technical University of Munich, Munich, Germany
| | - Wolfgang Wilcke
- Institute of Geography and Geoecology, Karlsruhe Institute of Technology, Karlsruhe, Germany
| | - Christian Wirth
- Systematic Botany and Functional Biodiversity, Life Science, Leipzig University, Leipzig, Germany.,German Centre for Integrative Biodiversity Research, Halle-Jena-Leipzig, Leipzig, Germany.,Max Planck Institute for Biogeochemistry, Jena, Germany
| |
Collapse
|
10
|
Ibsen PC, Borowy D, Rochford M, Swan CM, Jenerette GD. Influence of Climate and Management on Patterns of Taxonomic and Functional Diversity of Recreational Park Vegetation. Front Ecol Evol 2020. [DOI: 10.3389/fevo.2020.501502] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
|
11
|
Hanisch M, Schweiger O, Cord AF, Volk M, Knapp S. Plant functional traits shape multiple ecosystem services, their trade‐offs and synergies in grasslands. J Appl Ecol 2020. [DOI: 10.1111/1365-2664.13644] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Mario Hanisch
- Department of Community Ecology UFZ—Helmholtz Centre for Environmental Research Halle Germany
| | - Oliver Schweiger
- Department of Community Ecology UFZ—Helmholtz Centre for Environmental Research Halle Germany
| | - Anna F. Cord
- Department of Computational Landscape Ecology UFZ—Helmholtz Centre for Environmental Research Leipzig Germany
- Chair of Computational Landscape Ecology Institute of Geography Technische Universität Dresden Dresden Germany
| | - Martin Volk
- Department of Computational Landscape Ecology UFZ—Helmholtz Centre for Environmental Research Leipzig Germany
| | - Sonja Knapp
- Department of Community Ecology UFZ—Helmholtz Centre for Environmental Research Halle Germany
| |
Collapse
|
12
|
De Long JR, Jackson BG, Wilkinson A, Pritchard WJ, Oakley S, Mason KE, Stephan JG, Ostle NJ, Johnson D, Baggs EM, Bardgett RD. Relationships between plant traits, soil properties and carbon fluxes differ between monocultures and mixed communities in temperate grassland. THE JOURNAL OF ECOLOGY 2019; 107:1704-1719. [PMID: 31341333 PMCID: PMC6617750 DOI: 10.1111/1365-2745.13160] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/13/2018] [Accepted: 01/14/2019] [Indexed: 05/02/2023]
Abstract
The use of plant traits to predict ecosystem functions has been gaining growing attention. Above-ground plant traits, such as leaf nitrogen (N) content and specific leaf area (SLA), have been shown to strongly relate to ecosystem productivity, respiration and nutrient cycling. Furthermore, increasing plant functional trait diversity has been suggested as a possible mechanism to increase ecosystem carbon (C) storage. However, it is uncertain whether below-ground plant traits can be predicted by above-ground traits, and if both above- and below-ground traits can be used to predict soil properties and ecosystem-level functions.Here, we used two adjacent field experiments in temperate grassland to investigate if above- and below-ground plant traits are related, and whether relationships between plant traits, soil properties and ecosystem C fluxes (i.e. ecosystem respiration and net ecosystem exchange) measured in potted monocultures could be detected in mixed field communities.We found that certain shoot traits (e.g. shoot N and C, and leaf dry matter content) were related to root traits (e.g. root N, root C:N and root dry matter content) in monocultures, but such relationships were either weak or not detected in mixed communities. Some relationships between plant traits (i.e. shoot N, root N and/or shoot C:N) and soil properties (i.e. inorganic N availability and microbial community structure) were similar in monocultures and mixed communities, but they were more strongly linked to shoot traits in monocultures and root traits in mixed communities. Structural equation modelling showed that above- and below-ground traits and soil properties improved predictions of ecosystem C fluxes in monocultures, but not in mixed communities on the basis of community-weighted mean traits. Synthesis. Our results from a single grassland habitat detected relationships in monocultures between above- and below-ground plant traits, and between plant traits, soil properties and ecosystem C fluxes. However, these relationships were generally weaker or different in mixed communities. Our results demonstrate that while plant traits can be used to predict certain soil properties and ecosystem functions in monocultures, they are less effective for predicting how changes in plant species composition influence ecosystem functions in mixed communities.
Collapse
Affiliation(s)
- Jonathan R. De Long
- School of Earth and Environmental SciencesThe University of ManchesterManchesterUK
- Department of Terrestrial EcologyNetherlands Institute of EcologyWageningenThe Netherlands
| | - Benjamin G. Jackson
- The Global Academy of Agriculture and Food Security, The Royal (Dick) School of Veterinary StudiesUniversity of EdinburghMidlothianUK
| | - Anna Wilkinson
- School of Earth and Environmental SciencesThe University of ManchesterManchesterUK
| | - William J. Pritchard
- School of Earth and Environmental SciencesThe University of ManchesterManchesterUK
| | - Simon Oakley
- Centre for Ecology & Hydrology, Lancaster Environment CentreBailriggUK
| | - Kelly E. Mason
- Centre for Ecology & Hydrology, Lancaster Environment CentreBailriggUK
| | - Jörg G. Stephan
- Department of EcologySwedish University of Agricultural SciencesUppsalaSweden
| | | | - David Johnson
- School of Earth and Environmental SciencesThe University of ManchesterManchesterUK
| | - Elizabeth M. Baggs
- The Global Academy of Agriculture and Food Security, The Royal (Dick) School of Veterinary StudiesUniversity of EdinburghMidlothianUK
| | - Richard D. Bardgett
- School of Earth and Environmental SciencesThe University of ManchesterManchesterUK
| |
Collapse
|
13
|
Boscutti F, Vianello A, Bozzato F, Casolo V. Vegetation structure, species life span, and exotic status elucidate plant succession in a limestone quarry reclamation. Restor Ecol 2016. [DOI: 10.1111/rec.12476] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Affiliation(s)
- Francesco Boscutti
- Department of Agricultural, Food, Environmental and Animal Sciences; University of Udine; via delle Scienze 91 33100 Udine Italy
| | - Angelo Vianello
- Department of Agricultural, Food, Environmental and Animal Sciences; University of Udine; via delle Scienze 91 33100 Udine Italy
| | - Fabio Bozzato
- Architecture & Environment Department, Forestry Technician & Biodiversity; CTG S.p.a. - Italcementi Group; via Camozzi 124 24100 Bergamo Italy
| | - Valentino Casolo
- Department of Agricultural, Food, Environmental and Animal Sciences; University of Udine; via delle Scienze 91 33100 Udine Italy
| |
Collapse
|