Vegetation growth responses to climate change: A cross-scale analysis of biological memory and time lags using tree ring and satellite data.

Autor: Tang W; School of Ecology, Hainan University, Haikou, China.; National Engineering Laboratory for Applied Technology of Forestry & Ecology in South China, Central South University of Forestry and Technology (CSUFT), Changsha, China.; College of Life and Environmental Sciences, CSUFT, Changsha, China.; Technology Innovation Center for Ecological Conservation and Restoration in Dongting Lake Basin, Ministry of Natural Resources, Changsha, China., Liu S; School of Ecology, Hainan University, Haikou, China., Jing M; Department of Earth & Environmental Science, Institute of Global Environmental Change, Xi'an Jiaotong University, Xi'an, China., Healey JR; School of Environmental and Natural Sciences, Bangor University, Bangor, Gwynedd, UK., Smith MN; School of Environmental and Natural Sciences, Bangor University, Bangor, Gwynedd, UK.; Bangor College China, A Joint Unit of Bangor University and Central South University of Forestry and Technology, Changsha, China., Farooq TH; Bangor College China, A Joint Unit of Bangor University and Central South University of Forestry and Technology, Changsha, China., Zhu L; National Engineering Laboratory for Applied Technology of Forestry & Ecology in South China, Central South University of Forestry and Technology (CSUFT), Changsha, China.; College of Life and Environmental Sciences, CSUFT, Changsha, China., Zhao S; School of Ecology, Hainan University, Haikou, China., Wu Y; Department of Earth & Environmental Science, Institute of Global Environmental Change, Xi'an Jiaotong University, Xi'an, China.; National Observation and Research Station of Regional Ecological Environment Change and Comprehensive Management in the Guanzhong Plain, Xi'an, China.; Technology Innovation Center for Land Engineering and Human Settlements, Shaanxi Land Engineering Construction Group Co. Ltd and Xi'an Jiaotong University, Xi'an, China.
Jazyk: angličtina
Zdroj: Global change biology [Glob Chang Biol] 2024 Jul; Vol. 30 (7), pp. e17441.
DOI: 10.1111/gcb.17441
Abstrakt: Vegetation growth is affected by past growth rates and climate variability. However, the impacts of vegetation growth carryover (VGC; biotic) and lagged climatic effects (LCE; abiotic) on tree stem radial growth may be decoupled from photosynthetic capacity, as higher photosynthesis does not always translate into greater growth. To assess the interaction of tree-species level VGC and LCE with ecosystem-scale photosynthetic processes, we utilized tree-ring width (TRW) data for three tree species: Castanopsis eyrei (CE), Castanea henryi (CH, Chinese chinquapin), and Liquidambar formosana (LF, Chinese sweet gum), along with satellite-based data on canopy greenness (EVI, enhanced vegetation index), leaf area index (LAI), and gross primary productivity (GPP). We used vector autoregressive models, impulse response functions, and forecast error variance decomposition to analyze the duration, intensity, and drivers of VGC and of LCE response to precipitation, temperature, and sunshine duration. The results showed that at the tree-species level, VGC in TRW was strongest in the first year, with an average 77% reduction in response intensity by the fourth year. VGC and LCE exhibited species-specific patterns; compared to CE and CH (diffuse-porous species), LF (ring-porous species) exhibited stronger VGC but weaker LCE. For photosynthetic capacity at the ecosystem scale (EVI, LAI, and GPP), VGC and LCE occurred within 96 days. Our study demonstrates that VGC effects play a dominant role in vegetation function and productivity, and that vegetation responses to previous growth states are decoupled from climatic variability. Additionally, we discovered the possibility for tree-ring growth to be decoupled from canopy condition. Investigating VGC and LCE of multiple indicators of vegetation growth at multiple scales has the potential to improve the accuracy of terrestrial global change models.
(© 2024 John Wiley & Sons Ltd.)
Databáze: MEDLINE
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