Intra- and interannual dynamics of grassland community phylogenetic structure are influenced by meteorological conditions before the growing season
The impact of global climate change on ecosystem structure has attracted much attention from researchers. However, how climate change and meteorological conditions influence community phylogenetic structure remains poorly understood. In this research, we quantified the responses of grassland communi...
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2022-09-01
|
| Series: | Frontiers in Plant Science |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fpls.2022.870526/full |
| _version_ | 1811258995302727680 |
|---|---|
| author | Lei Dong Lei Dong Ying Zheng Ying Zheng Jian Wang Jian Wang Jinrong Li Jinrong Li Zhiyong Li Jinghui Zhang Lixin Wang Bailing Miao Cunzhu Liang |
| author_facet | Lei Dong Lei Dong Ying Zheng Ying Zheng Jian Wang Jian Wang Jinrong Li Jinrong Li Zhiyong Li Jinghui Zhang Lixin Wang Bailing Miao Cunzhu Liang |
| author_sort | Lei Dong |
| collection | DOAJ |
| description | The impact of global climate change on ecosystem structure has attracted much attention from researchers. However, how climate change and meteorological conditions influence community phylogenetic structure remains poorly understood. In this research, we quantified the responses of grassland communities’ phylogenetic structure to long- and short-term meteorological conditions in Inner Mongolia, China. The net relatedness index (NRI) was used to characterize phylogenetic structure, and the relationship between the NRI and climate data was analyzed to understand the dynamics of community phylogenetic structure and its relationship with extreme meteorological events. Furthermore, multiple linear regression and structural equation models (SEMs) were used to quantify the relative contributions of meteorological factors before and during the current growing season to short-term changes in community phylogenetic structure. In addition, we evaluated the effect of long-term meteorological factors on yearly NRI anomalies with classification and regression trees (CARTs). We found that 1) the degree of phylogenetic clustering of the community is relatively low in the peak growing season, when habitat filtering is relatively weak and competition is fiercer. 2) Extreme meteorological conditions (i.e., drought and cold) may change community phylogenetic structure and indirectly reduce the degree of phylogenetic clustering by reducing the proportion of dominant perennial grasses. 3) Meteorological conditions before the growing season rather than during the current growing season explain more variation in the NRI and interannual NRI anomalies. Our results may provide useful information for understanding grassland community species assembly and how climate change affects biodiversity. |
| first_indexed | 2024-04-12T18:22:59Z |
| format | Article |
| id | doaj.art-c1a2b9f359c647b3b37ff5fde3b00f45 |
| institution | Directory Open Access Journal |
| issn | 1664-462X |
| language | English |
| last_indexed | 2024-04-12T18:22:59Z |
| publishDate | 2022-09-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Plant Science |
| spelling | doaj.art-c1a2b9f359c647b3b37ff5fde3b00f452022-12-22T03:21:21ZengFrontiers Media S.A.Frontiers in Plant Science1664-462X2022-09-011310.3389/fpls.2022.870526870526Intra- and interannual dynamics of grassland community phylogenetic structure are influenced by meteorological conditions before the growing seasonLei Dong0Lei Dong1Ying Zheng2Ying Zheng3Jian Wang4Jian Wang5Jinrong Li6Jinrong Li7Zhiyong Li8Jinghui Zhang9Lixin Wang10Bailing Miao11Cunzhu Liang12Yinshanbeilu Grassland Eco-hydrology National Observation and Research Station, China Institute of Water Resources and Hydropower Research, Beijing, ChinaInstitute of Water Resources for Pastoral Areas, Ministry of Water Resources, Hohhot, ChinaYinshanbeilu Grassland Eco-hydrology National Observation and Research Station, China Institute of Water Resources and Hydropower Research, Beijing, ChinaInstitute of Water Resources for Pastoral Areas, Ministry of Water Resources, Hohhot, ChinaYinshanbeilu Grassland Eco-hydrology National Observation and Research Station, China Institute of Water Resources and Hydropower Research, Beijing, ChinaInstitute of Water Resources for Pastoral Areas, Ministry of Water Resources, Hohhot, ChinaYinshanbeilu Grassland Eco-hydrology National Observation and Research Station, China Institute of Water Resources and Hydropower Research, Beijing, ChinaInstitute of Water Resources for Pastoral Areas, Ministry of Water Resources, Hohhot, ChinaSchool of Ecology and Environment, Inner Mongolia University, Hohhot, ChinaSchool of Ecology and Environment, Inner Mongolia University, Hohhot, ChinaSchool of Ecology and Environment, Inner Mongolia University, Hohhot, ChinaMeteorological Research Institute of Inner Mongolia, Inner Mongolia Meteorological Service, Hohhot, ChinaSchool of Ecology and Environment, Inner Mongolia University, Hohhot, ChinaThe impact of global climate change on ecosystem structure has attracted much attention from researchers. However, how climate change and meteorological conditions influence community phylogenetic structure remains poorly understood. In this research, we quantified the responses of grassland communities’ phylogenetic structure to long- and short-term meteorological conditions in Inner Mongolia, China. The net relatedness index (NRI) was used to characterize phylogenetic structure, and the relationship between the NRI and climate data was analyzed to understand the dynamics of community phylogenetic structure and its relationship with extreme meteorological events. Furthermore, multiple linear regression and structural equation models (SEMs) were used to quantify the relative contributions of meteorological factors before and during the current growing season to short-term changes in community phylogenetic structure. In addition, we evaluated the effect of long-term meteorological factors on yearly NRI anomalies with classification and regression trees (CARTs). We found that 1) the degree of phylogenetic clustering of the community is relatively low in the peak growing season, when habitat filtering is relatively weak and competition is fiercer. 2) Extreme meteorological conditions (i.e., drought and cold) may change community phylogenetic structure and indirectly reduce the degree of phylogenetic clustering by reducing the proportion of dominant perennial grasses. 3) Meteorological conditions before the growing season rather than during the current growing season explain more variation in the NRI and interannual NRI anomalies. Our results may provide useful information for understanding grassland community species assembly and how climate change affects biodiversity.https://www.frontiersin.org/articles/10.3389/fpls.2022.870526/fullcommunity phylogenetic structureextreme climateInner Mongoliainterspecies competitionintra-annual dynamicsnet relatedness index |
| spellingShingle | Lei Dong Lei Dong Ying Zheng Ying Zheng Jian Wang Jian Wang Jinrong Li Jinrong Li Zhiyong Li Jinghui Zhang Lixin Wang Bailing Miao Cunzhu Liang Intra- and interannual dynamics of grassland community phylogenetic structure are influenced by meteorological conditions before the growing season Frontiers in Plant Science community phylogenetic structure extreme climate Inner Mongolia interspecies competition intra-annual dynamics net relatedness index |
| title | Intra- and interannual dynamics of grassland community phylogenetic structure are influenced by meteorological conditions before the growing season |
| title_full | Intra- and interannual dynamics of grassland community phylogenetic structure are influenced by meteorological conditions before the growing season |
| title_fullStr | Intra- and interannual dynamics of grassland community phylogenetic structure are influenced by meteorological conditions before the growing season |
| title_full_unstemmed | Intra- and interannual dynamics of grassland community phylogenetic structure are influenced by meteorological conditions before the growing season |
| title_short | Intra- and interannual dynamics of grassland community phylogenetic structure are influenced by meteorological conditions before the growing season |
| title_sort | intra and interannual dynamics of grassland community phylogenetic structure are influenced by meteorological conditions before the growing season |
| topic | community phylogenetic structure extreme climate Inner Mongolia interspecies competition intra-annual dynamics net relatedness index |
| url | https://www.frontiersin.org/articles/10.3389/fpls.2022.870526/full |
| work_keys_str_mv | AT leidong intraandinterannualdynamicsofgrasslandcommunityphylogeneticstructureareinfluencedbymeteorologicalconditionsbeforethegrowingseason AT leidong intraandinterannualdynamicsofgrasslandcommunityphylogeneticstructureareinfluencedbymeteorologicalconditionsbeforethegrowingseason AT yingzheng intraandinterannualdynamicsofgrasslandcommunityphylogeneticstructureareinfluencedbymeteorologicalconditionsbeforethegrowingseason AT yingzheng intraandinterannualdynamicsofgrasslandcommunityphylogeneticstructureareinfluencedbymeteorologicalconditionsbeforethegrowingseason AT jianwang intraandinterannualdynamicsofgrasslandcommunityphylogeneticstructureareinfluencedbymeteorologicalconditionsbeforethegrowingseason AT jianwang intraandinterannualdynamicsofgrasslandcommunityphylogeneticstructureareinfluencedbymeteorologicalconditionsbeforethegrowingseason AT jinrongli intraandinterannualdynamicsofgrasslandcommunityphylogeneticstructureareinfluencedbymeteorologicalconditionsbeforethegrowingseason AT jinrongli intraandinterannualdynamicsofgrasslandcommunityphylogeneticstructureareinfluencedbymeteorologicalconditionsbeforethegrowingseason AT zhiyongli intraandinterannualdynamicsofgrasslandcommunityphylogeneticstructureareinfluencedbymeteorologicalconditionsbeforethegrowingseason AT jinghuizhang intraandinterannualdynamicsofgrasslandcommunityphylogeneticstructureareinfluencedbymeteorologicalconditionsbeforethegrowingseason AT lixinwang intraandinterannualdynamicsofgrasslandcommunityphylogeneticstructureareinfluencedbymeteorologicalconditionsbeforethegrowingseason AT bailingmiao intraandinterannualdynamicsofgrasslandcommunityphylogeneticstructureareinfluencedbymeteorologicalconditionsbeforethegrowingseason AT cunzhuliang intraandinterannualdynamicsofgrasslandcommunityphylogeneticstructureareinfluencedbymeteorologicalconditionsbeforethegrowingseason |