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植被对气候变化的生长响应:利用树木年轮和卫星数据的跨尺度分析生物记忆和时滞。

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

机构信息

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.

出版信息

Glob Chang Biol. 2024 Jul;30(7):e17441. doi: 10.1111/gcb.17441.

Abstract

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.

摘要

植被生长受过去生长速率和气候变异性的影响。然而,植被生长延续(VGC;生物)和滞后气候效应(LCE;非生物)对树木茎干径向生长的影响可能与光合作用能力脱钩,因为较高的光合作用并不总是转化为更大的生长。为了评估树种水平 VGC 和 LCE 与生态系统尺度光合作用过程的相互作用,我们利用三种树木的树木年轮宽度(TRW)数据:锥栗(CE)、石栗(CH,中国锥栗)和枫香(LF,中国枫香),以及基于卫星的冠层绿色度(EVI,增强植被指数)、叶面积指数(LAI)和总初级生产力(GPP)数据。我们使用向量自回归模型、脉冲响应函数和预测误差方差分解来分析 VGC 和 LCE 对降水、温度和日照时间的响应的持续时间、强度和驱动因素。结果表明,在树种水平上,TRW 中的 VGC 在第一年最强,到第四年响应强度平均降低 77%。VGC 和 LCE 表现出物种特异性模式;与 CE 和 CH(散生孔材)相比,LF(环孔材)表现出更强的 VGC 但较弱的 LCE。对于生态系统尺度的光合作用能力(EVI、LAI 和 GPP),VGC 和 LCE 在 96 天内发生。我们的研究表明,VGC 效应在植被功能和生产力中起着主导作用,并且植被对先前生长状态的响应与气候变异性脱钩。此外,我们发现树木年轮生长与冠层状况脱钩的可能性。在多个尺度上研究多种植被生长指标的 VGC 和 LCE 有可能提高陆地全球变化模型的准确性。

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