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Vegetation growth responses to climate change: a cross-scale analysis of biological memory and time-lags using tree ring and satellite data. / Tang, Wenxi; Liu, Shuguang; Jing, Mengdan et al.
Yn: Global Change Biology, Cyfrol 30, Rhif 7, e17441, 07.2024.

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Tang W, Liu S, Jing M, Healey J, Smith M, Farooq TH et al. Vegetation growth responses to climate change: a cross-scale analysis of biological memory and time-lags using tree ring and satellite data. Global Change Biology. 2024 Gor;30(7):e17441. Epub 2024 Gor 26. doi: 10.1111/gcb.17441

Author

Tang, Wenxi ; Liu, Shuguang ; Jing, Mengdan et al. / Vegetation growth responses to climate change: a cross-scale analysis of biological memory and time-lags using tree ring and satellite data. Yn: Global Change Biology. 2024 ; Cyfrol 30, Rhif 7.

RIS

TY - JOUR

T1 - Vegetation growth responses to climate change: a cross-scale analysis of biological memory and time-lags using tree ring and satellite data

AU - Tang, Wenxi

AU - Liu, Shuguang

AU - Jing, Mengdan

AU - Healey, John

AU - Smith, Marielle

AU - Farooq, Taimoor Hassan

AU - Zhu, Liangjun

AU - Zhao, Shuqing

AU - Wu, Yiping

N1 - Hi Michelle/Richard, Paper was accepted by journal on 12 June. I received from the corresponding author a copy of the final accepted manuscript just uploaded to the journal, today. I leave it to you to fix the correct embargo period for Wiley.

PY - 2024/7

Y1 - 2024/7

N2 - 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.

AB - 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.

U2 - 10.1111/gcb.17441

DO - 10.1111/gcb.17441

M3 - Article

VL - 30

JO - Global Change Biology

JF - Global Change Biology

SN - 1365-2486

IS - 7

M1 - e17441

ER -