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The Shift from Energy to Water Limitation in Local Canopy Height from Temperate to Tropical Forests in China
Wang, Bojian1; Fang, Shuai; Wang, Yunyun2; Guo, Qinghua3; Hu, Tianyu4; Mi, Xiangcheng4; Lin, Luxiang5; Jin, Guangze6,7; Coomes, David Anthony8; Yuan, Zuoqiang; Ye, Ji; Wang, Xugao; Lin, Fei; Hao, Zhanqing9
2022
发表期刊FORESTS
卷号13期号:5
摘要Canopy height greatly affects the biomass stock, carbon dynamics, and maintenance of biodiversity in forests. Previous research reported that the maximum forest canopy height (Hmax) at global and regional scales could be explained by variations in water or energy availability, that is, the water- or energy-related hypothesis. However, fundamental gaps remain in our understanding of how different drivers (i.e., water and energy) contribute to the Hmax at the local scale. In this study, we selected eight dynamic forest plots (20-30 ha) across a latitudinal gradient (from 21.6 degrees N to 48.1 degrees N) in China and measured the canopy structure using airborne light detection and ranging (LiDAR) data. Based on the LiDAR point cloud data, we extracted the maximum tree height (Hmax) in a 20 x 20 m quadrat as a proxy for canopy height, and the topographic wetness index (TWI) and digital terrain model-derived insolation (DTMI) were calculated as proxies for water and energy conditions. We used a linear mixed model and spatial simultaneous autoregressive error model to quantify how TWI and DTMI contributed to variations in Hmax at the local scale. We found that the positive effect of TWI was stronger in subtropical and tropical forests, highlighting that water was the main factor that drives the canopy height pattern in these regions. In contrast, although the effects of DTMI can be both positive and negative, its relative contribution was higher in temperate forest plots than in other forest types, supporting the idea that energy input is more critical for Hmax in temperate forests. Overall, our study revealed the directional change from energy to water limitation from temperate to subtropical and tropical forests. Our findings can offer important insights into forest management, especially under global climate change in the Anthropocene.
关键词maximum forest canopy height (Hmax) water- and energy-related hypotheses local-scale forest plot light detection and ranging (LiDAR)
学科领域Forestry
DOI10.3390/f13050639
收录类别SCI
语种英语
WOS关键词TOPOGRAPHIC WETNESS INDEX ; GLOBAL PATTERNS ; TREE HEIGHT ; HABITAT ASSOCIATIONS ; SOLAR-RADIATION ; DETERMINANTS ; LIMITS ; CLIMATE ; BIOMASS ; ASCENT
WOS研究方向Science Citation Index Expanded (SCI-EXPANDED)
WOS记录号WOS:000803357700001
出版者MDPI
文献子类Article
出版地BASEL
EISSN1999-4907
资助机构Youth Program of the National Natural Science Foundation of China [32001121] ; General Program of the National Natural Science Foundation of China [31971439] ; National Key Research and Development Program of China [2016YFC0500202]
作者邮箱wbj19910328@hotmail.com ; fangshuai@iae.ac.cn ; yzhsh3210@163.com ; guo.qinghua@pku.edu.cn ; tianyuhu@ibcas.ac.cn ; mixiangcheng@ibcas.ac.cn ; linluxa@xtbg.ac.cn ; taxus@126.com ; dac18@cam.ac.uk ; zqyuan@iae.ac.cn ; yeji1011@163.com ; wangxg@iae.ac.cn ; linfei@iae.ac.cn ; hzq@iae.ac.cn
作品OA属性Green Published, gold
引用统计
被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ibcas.ac.cn/handle/2S10CLM1/28736
专题植被与环境变化国家重点实验室
作者单位1.Chinese Acad Sci, Inst Appl Ecol, CAS Key Lab Forest Ecol & Management, Shenyang 110016, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Cent South Univ Forestry & Technol, Fac Life Sci & Technol, Changsha 410004, Peoples R China
4.Peking Univ, Coll Urban & Environm Sci, Inst Ecol, Beijing 100871, Peoples R China
5.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China
6.Chinese Acad Sci, Key Lab Trop Forest Ecol, Xishuangbanna Trop Bot Garden, Kunming 650201, Yunnan, Peoples R China
7.Northeast Forestry Univ, Ctr Ecol Res, Harbin 150040, Peoples R China
8.Northeast Forestry Univ, Key Lab Sustainable Forest Ecosyst Management, Minist Educ, Harbin 150040, Peoples R China
9.Univ Cambridge, Conservat Res Inst, Dept Plant Sci, Cambridge CB2 3QZ, England
10.Northwestern Polytech Univ, Res Ctr Ecol & Environm Sci, Xian 710072, Peoples R China
推荐引用方式
GB/T 7714
Wang, Bojian,Fang, Shuai,Wang, Yunyun,et al. The Shift from Energy to Water Limitation in Local Canopy Height from Temperate to Tropical Forests in China[J]. FORESTS,2022,13(5).
APA Wang, Bojian.,Fang, Shuai.,Wang, Yunyun.,Guo, Qinghua.,Hu, Tianyu.,...&Hao, Zhanqing.(2022).The Shift from Energy to Water Limitation in Local Canopy Height from Temperate to Tropical Forests in China.FORESTS,13(5).
MLA Wang, Bojian,et al."The Shift from Energy to Water Limitation in Local Canopy Height from Temperate to Tropical Forests in China".FORESTS 13.5(2022).
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