| Title | The Shift from Energy to Water Limitation in Local Canopy Height from Temperate to Tropical Forests in China |
| Authors | Wang, Bojian Fang, Shuai Wang, Yunyun Guo, Qinghua Hu, Tianyu Mi, Xiangcheng Lin, Luxiang Jin, Guangze Coomes, David Anthony Yuan, Zuoqiang Ye, Ji Wang, Xugao Lin, Fei Hao, Zhanqing |
| Affiliation | Chinese Acad Sci, Inst Appl Ecol, CAS Key Lab Forest Ecol & Management, Shenyang 110016, Peoples R China Univ Chinese Acad Sci, Beijing 100049, Peoples R China Cent South Univ Forestry & Technol, Fac Life Sci & Technol, Changsha 410004, Peoples R China Peking Univ, Coll Urban & Environm Sci, Inst Ecol, Beijing 100871, Peoples R China Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China Chinese Acad Sci, Key Lab Trop Forest Ecol, Xishuangbanna Trop Bot Garden, Kunming 650201, Yunnan, Peoples R China Northeast Forestry Univ, Ctr Ecol Res, Harbin 150040, Peoples R China Northeast Forestry Univ, Key Lab Sustainable Forest Ecosyst Management, Minist Educ, Harbin 150040, Peoples R China Univ Cambridge, Conservat Res Inst, Dept Plant Sci, Cambridge CB2 3QZ, England Northwestern Polytech Univ, Res Ctr Ecol & Environm Sci, Xian 710072, Peoples R China |
| Keywords | TOPOGRAPHIC WETNESS INDEX GLOBAL PATTERNS TREE HEIGHT HABITAT ASSOCIATIONS SOLAR-RADIATION DETERMINANTS LIMITS CLIMATE BIOMASS ASCENT |
| Issue Date | May-2022 |
| Publisher | FORESTS |
| Abstract | 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. |
| URI | http://hdl.handle.net/20.500.11897/647167 |
| DOI | 10.3390/f13050639 |
| Indexed | SCI(E) |
| Appears in Collections: | 城市与环境学院 |
