Plant community traits can explain variation in productivity of selective logging forests after different restoration times
The emerging concept of plant community traits offers a promising tool for explaining the variations in forest productivity. We measured the leaf thickness (LT), leaf area (LA), specific leaf area (SLA), and leaf dry matter content (LDMC) of 234 plant species from seven adjacent Korean pine and broa...
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| Format: | Article |
| Language: | English |
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Elsevier
2021-11-01
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| Series: | Ecological Indicators |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1470160X21008463 |
| _version_ | 1818742819292971008 |
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| author | Ying Li Qian Li Li Xu Mingxu Li Zhi Chen Zhaopeng Song Jihua Hou Nianpeng He |
| author_facet | Ying Li Qian Li Li Xu Mingxu Li Zhi Chen Zhaopeng Song Jihua Hou Nianpeng He |
| author_sort | Ying Li |
| collection | DOAJ |
| description | The emerging concept of plant community traits offers a promising tool for explaining the variations in forest productivity. We measured the leaf thickness (LT), leaf area (LA), specific leaf area (SLA), and leaf dry matter content (LDMC) of 234 plant species from seven adjacent Korean pine and broad-leaved mixed forests in Northeast China, which varied in restoration time after selective logging (6, 14, 25, 36, 45, 55, and 100 years). Four leaf traits varied significantly at the species, plant functional group, and community scales. At the community level, LA, SLA, and LDMC followed a significant quadratic trend along the chronological sequence of restoration after selective logging, whereas LT showed no significant variation with time. Interestingly, plant community traits (LT, LA, and SLA) were significantly positively correlated with aboveground net primary productivity (ANPP). Furthermore, plant community traits, restoration time, species diversity, and soil nutrients could jointly explain 78% of the ANPP variation. These findings highlight that the variation in community traits of leaves may play an important role in determining the spatial variation of ANPP in temperate broadleaf-conifer mixed forests. These findings further demonstrate the close linkages between plant community traits and productivity and offer a theoretical basis for incorporating these community traits into future ecological models. |
| first_indexed | 2024-12-18T02:18:34Z |
| format | Article |
| id | doaj.art-50b7429290cd42ebbf841274bc387459 |
| institution | Directory Open Access Journal |
| issn | 1470-160X |
| language | English |
| last_indexed | 2024-12-18T02:18:34Z |
| publishDate | 2021-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ecological Indicators |
| spelling | doaj.art-50b7429290cd42ebbf841274bc3874592022-12-21T21:24:20ZengElsevierEcological Indicators1470-160X2021-11-01131108181Plant community traits can explain variation in productivity of selective logging forests after different restoration timesYing Li0Qian Li1Li Xu2Mingxu Li3Zhi Chen4Zhaopeng Song5Jihua Hou6Nianpeng He7School of Ecology and Nature Conservation, Beijing Forestry University, Beijing 100083, China; Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaSchool of Ecology and Nature Conservation, Beijing Forestry University, Beijing 100083, ChinaKey Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaKey Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaKey Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, ChinaSchool of Ecology and Nature Conservation, Beijing Forestry University, Beijing 100083, ChinaSchool of Ecology and Nature Conservation, Beijing Forestry University, Beijing 100083, China; Correspondence author at: Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China; Key Laboratory of Vegetation Ecology, Ministry of Education, Northeast Normal University, Changchun, China; Correspondence author at: Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.The emerging concept of plant community traits offers a promising tool for explaining the variations in forest productivity. We measured the leaf thickness (LT), leaf area (LA), specific leaf area (SLA), and leaf dry matter content (LDMC) of 234 plant species from seven adjacent Korean pine and broad-leaved mixed forests in Northeast China, which varied in restoration time after selective logging (6, 14, 25, 36, 45, 55, and 100 years). Four leaf traits varied significantly at the species, plant functional group, and community scales. At the community level, LA, SLA, and LDMC followed a significant quadratic trend along the chronological sequence of restoration after selective logging, whereas LT showed no significant variation with time. Interestingly, plant community traits (LT, LA, and SLA) were significantly positively correlated with aboveground net primary productivity (ANPP). Furthermore, plant community traits, restoration time, species diversity, and soil nutrients could jointly explain 78% of the ANPP variation. These findings highlight that the variation in community traits of leaves may play an important role in determining the spatial variation of ANPP in temperate broadleaf-conifer mixed forests. These findings further demonstrate the close linkages between plant community traits and productivity and offer a theoretical basis for incorporating these community traits into future ecological models.http://www.sciencedirect.com/science/article/pii/S1470160X21008463Plant traitANPPBroadleaf-conifer mixed forestsRestoration gradient |
| spellingShingle | Ying Li Qian Li Li Xu Mingxu Li Zhi Chen Zhaopeng Song Jihua Hou Nianpeng He Plant community traits can explain variation in productivity of selective logging forests after different restoration times Ecological Indicators Plant trait ANPP Broadleaf-conifer mixed forests Restoration gradient |
| title | Plant community traits can explain variation in productivity of selective logging forests after different restoration times |
| title_full | Plant community traits can explain variation in productivity of selective logging forests after different restoration times |
| title_fullStr | Plant community traits can explain variation in productivity of selective logging forests after different restoration times |
| title_full_unstemmed | Plant community traits can explain variation in productivity of selective logging forests after different restoration times |
| title_short | Plant community traits can explain variation in productivity of selective logging forests after different restoration times |
| title_sort | plant community traits can explain variation in productivity of selective logging forests after different restoration times |
| topic | Plant trait ANPP Broadleaf-conifer mixed forests Restoration gradient |
| url | http://www.sciencedirect.com/science/article/pii/S1470160X21008463 |
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