Intraspecific variations in leaf functional traits of Cunninghamia lanceolata provenances
Abstract Background Studies on intra-specific variability in leaf functional traits is important to evaluate adaptation of the species to predicted climate change, and to develop long-term conservation strategy. The main objectives were to investigate the relationship between the functional traits l...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2023-02-01
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| Series: | BMC Plant Biology |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12870-023-04097-y |
| _version_ | 1797865087495569408 |
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| author | Rui Xu Shundan Cheng Jing Zhou Mulualem Tigabu Xiangqing Ma Ming Li |
| author_facet | Rui Xu Shundan Cheng Jing Zhou Mulualem Tigabu Xiangqing Ma Ming Li |
| author_sort | Rui Xu |
| collection | DOAJ |
| description | Abstract Background Studies on intra-specific variability in leaf functional traits is important to evaluate adaptation of the species to predicted climate change, and to develop long-term conservation strategy. The main objectives were to investigate the relationship between the functional traits leaves and C, N, P stoichiometry of Chinese fir from different geographical provenances and their relationship with the main environmental factors of provenance. Results In this study, we measured 12 leaf functional traits on 36-year-old Cunninghamia lanceolata trees from 13 provenances. Analysis of variance (ANOVA) was performed to examine the variability. Redundancy analysis (RA) was computed to examine the relationship between geo-climatic factors of provenance origin and leaf functional traits while Pearson’s correlation coefficient was computed to assess inter-trait correlations. The results showed statistically significant differences (P < 0.01) in intraspecific leaf traits among provenances, except leaf P content. The relationships among leaf traits are consistent with the general trend observed in the leaf economic spectrum. Mean annual temperature appeared to be a key factor that influences intraspecific leaf traits variability compared to mean annual precipitation. Conclusion These results provide useful insights about adaptation of leaf trait of Chinese fir in a changing climatic condition. Thus, our findings shed light on the importance of interspecific trait variability in Chinese fir and the potential effect of climate change. |
| first_indexed | 2024-04-09T23:03:33Z |
| format | Article |
| id | doaj.art-022fa8406dd64859a59838bb70c3a00f |
| institution | Directory Open Access Journal |
| issn | 1471-2229 |
| language | English |
| last_indexed | 2024-04-09T23:03:33Z |
| publishDate | 2023-02-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Plant Biology |
| spelling | doaj.art-022fa8406dd64859a59838bb70c3a00f2023-03-22T10:49:47ZengBMCBMC Plant Biology1471-22292023-02-0123111110.1186/s12870-023-04097-yIntraspecific variations in leaf functional traits of Cunninghamia lanceolata provenancesRui Xu0Shundan Cheng1Jing Zhou2Mulualem Tigabu3Xiangqing Ma4Ming Li5College of Forestry, Fujian Agriculture and Forestry UniversityCollege of Forestry, Fujian Agriculture and Forestry UniversityCollege of Forestry, Fujian Agriculture and Forestry UniversitySouthern Swedish Forest Research Center, Faculty of Forest Science, Swedish University of Agricultural SciencesCollege of Forestry, Fujian Agriculture and Forestry UniversityCollege of Forestry, Fujian Agriculture and Forestry UniversityAbstract Background Studies on intra-specific variability in leaf functional traits is important to evaluate adaptation of the species to predicted climate change, and to develop long-term conservation strategy. The main objectives were to investigate the relationship between the functional traits leaves and C, N, P stoichiometry of Chinese fir from different geographical provenances and their relationship with the main environmental factors of provenance. Results In this study, we measured 12 leaf functional traits on 36-year-old Cunninghamia lanceolata trees from 13 provenances. Analysis of variance (ANOVA) was performed to examine the variability. Redundancy analysis (RA) was computed to examine the relationship between geo-climatic factors of provenance origin and leaf functional traits while Pearson’s correlation coefficient was computed to assess inter-trait correlations. The results showed statistically significant differences (P < 0.01) in intraspecific leaf traits among provenances, except leaf P content. The relationships among leaf traits are consistent with the general trend observed in the leaf economic spectrum. Mean annual temperature appeared to be a key factor that influences intraspecific leaf traits variability compared to mean annual precipitation. Conclusion These results provide useful insights about adaptation of leaf trait of Chinese fir in a changing climatic condition. Thus, our findings shed light on the importance of interspecific trait variability in Chinese fir and the potential effect of climate change.https://doi.org/10.1186/s12870-023-04097-yCunninghamia lanceolataLeaf dry massSpecific life areaNutrient content |
| spellingShingle | Rui Xu Shundan Cheng Jing Zhou Mulualem Tigabu Xiangqing Ma Ming Li Intraspecific variations in leaf functional traits of Cunninghamia lanceolata provenances BMC Plant Biology Cunninghamia lanceolata Leaf dry mass Specific life area Nutrient content |
| title | Intraspecific variations in leaf functional traits of Cunninghamia lanceolata provenances |
| title_full | Intraspecific variations in leaf functional traits of Cunninghamia lanceolata provenances |
| title_fullStr | Intraspecific variations in leaf functional traits of Cunninghamia lanceolata provenances |
| title_full_unstemmed | Intraspecific variations in leaf functional traits of Cunninghamia lanceolata provenances |
| title_short | Intraspecific variations in leaf functional traits of Cunninghamia lanceolata provenances |
| title_sort | intraspecific variations in leaf functional traits of cunninghamia lanceolata provenances |
| topic | Cunninghamia lanceolata Leaf dry mass Specific life area Nutrient content |
| url | https://doi.org/10.1186/s12870-023-04097-y |
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