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DOI | 10.1016/j.quascirev.2020.106292 |
Applying dendrochronology and remote sensing to explore climate-drive in montane forests over space and time | |
Zhou Y.; Yi Y.; Jia W.; Cai Y.; Yang W.; Li Z. | |
发表日期 | 2020 |
ISSN | 0277-3791 |
卷号 | 237 |
英文摘要 | Both radial growth and canopy dynamics of trees play a critical role in terrestrial carbon cycle. Yet, it is still not very clear about how climate variability influences radial growth and canopy dynamics. To help bridge the knowledge gap in this field, we combined Tree Ring Width Index (TRWI, radial growth) and Normalized Difference Vegetation Index (NDVI, canopy dynamic), to quantify how forests responded to climatic variability across altitudinal gradients in Hengdaun Mountain, China. We applied TRWI of Pinus yunnanensis at nine sample sites and NDVI from 2000 AD to 2016 to analyze how these two indicators respond to temperature and precipitation. The results showed that the radial growth of P. yunnanensis was mainly limited by precipitation at low altitudes (≤1700 m). But the limited factor transformed into temperature at high altitudes (≥2200 m). NDVI presented significantly positive correlation with temperature and negative correlation with precipitation at annual scale. Relationship between TRWI and NDVI showed significantly positive correlation in July but negative correlation during dry season, indicating that both indicators had consistent response to climate during growing season, while the response was heterogeneous in dry season. Our comprehensive study helps to elucidate the unique contributions of foliar and radial growth to terrestrial carbon cycling and to explore the difference of these two indicators response to climate change. © 2020 Elsevier Ltd |
英文关键词 | Altitude; Climate change; Dendrochronology; Hengduan mountains; NDVI; Tree rings width index |
语种 | 英语 |
scopus关键词 | Carbon; Climate change; Drought; Remote sensing; Canopy dynamics; Climate variability; Climatic variability; Negative correlation; Normalized difference vegetation index; Positive correlations; Terrestrial carbon cycle; Tree-ring-width indices; Forestry; carbon cycle; climate change; dendrochronology; montane forest; NDVI; remote sensing; spatiotemporal analysis; tree ring; China; Hengduan Mountains; Pinus yunnanensis |
来源期刊 | Quaternary Science Reviews |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/151478 |
作者单位 | Ministry of Education Key Laboratory of Water and Sediment Science, School of Environment, Beijing Normal University, Beijing, 100875, China; State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, 100875, China; State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan, 430072, China |
推荐引用方式 GB/T 7714 | Zhou Y.,Yi Y.,Jia W.,et al. Applying dendrochronology and remote sensing to explore climate-drive in montane forests over space and time[J],2020,237. |
APA | Zhou Y.,Yi Y.,Jia W.,Cai Y.,Yang W.,&Li Z..(2020).Applying dendrochronology and remote sensing to explore climate-drive in montane forests over space and time.Quaternary Science Reviews,237. |
MLA | Zhou Y.,et al."Applying dendrochronology and remote sensing to explore climate-drive in montane forests over space and time".Quaternary Science Reviews 237(2020). |
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