Chrome Extension
WeChat Mini Program
Use on ChatGLM

Amazon Forest Response to Repeated Droughts

Global Biogeochemical Cycles(2016)SCI 1区

Univ Exeter | Univ Leeds | Imperial Coll London | Univ Nacl San Antonio Abad Cusco | Univ Oxford | Inst Boliviano Invest Forestal | Fdn Con Vida | Duke Univ | Natl Inst Res Amazonia | Univ Autonoma Gabriel Rene Moreno | Herbario Univ PORT | Florida Int Univ | Univ Fed Acre | INRA | Acre Fed Univ | Univ Toulouse 3 | Univ Sao Paulo | James Cook Univ | Univ Estado Mato Grosso | Manejo Forestal Tierras Trop Bolivia | Univ Estatal Amazon | Univ Autonoma Beni | Univ Nacl Colombia | Univ Nacl Amazonia Peruana | Univ Los Andes | Karlsruhe Inst Technol | Museu Paraense Emilio Goeldi | Nat Biodivers Ctr | Univ Fed Alagoas | Iwokrama Int Ctr Rainforest Conservat & Dev | Univ Nottingham | Prolongac Bolognesi Mze

Cited 195|Views101
Abstract
The Amazon Basin has experienced more variable climate over the last decade, with a severe and widespread drought in 2005 causing large basin‐wide losses of biomass. A drought of similar climatological magnitude occurred again in 2010; however, there has been no basin‐wide ground‐based evaluation of effects on vegetation. We examine to what extent the 2010 drought affected forest dynamics using ground‐based observations of mortality and growth from an extensive forest plot network. We find that during the 2010 drought interval, forests did not gain biomass (net change: −0.43 Mg ha−1, confidence interval (CI): −1.11, 0.19, n = 97), regardless of whether forests experienced precipitation deficit anomalies. This contrasted with a long‐term biomass sink during the baseline pre‐2010 drought period (1998 to pre‐2010) of 1.33 Mg ha−1 yr−1 (CI: 0.90, 1.74, p < 0.01). The resulting net impact of the 2010 drought (i.e., reversal of the baseline net sink) was −1.95 Mg ha−1 yr−1 (CI:−2.77, −1.18; p < 0.001). This net biomass impact was driven by an increase in biomass mortality (1.45 Mg ha−1 yr−1 CI: 0.66, 2.25, p < 0.001) and a decline in biomass productivity (−0.50 Mg ha−1 yr−1, CI:−0.78, −0.31; p < 0.001). Surprisingly, the magnitude of the losses through tree mortality was unrelated to estimated local precipitation anomalies and was independent of estimated local pre‐2010 drought history. Thus, there was no evidence that pre‐2010 droughts compounded the effects of the 2010 drought. We detected a systematic basin‐wide impact of the 2010 drought on tree growth rates across Amazonia, which was related to the strength of the moisture deficit. This impact differed from the drought event in 2005 which did not affect productivity. Based on these ground data, live biomass in trees and corresponding estimates of live biomass in lianas and roots, we estimate that intact forests in Amazonia were carbon neutral in 2010 (−0.07 Pg C yr−1 CI:−0.42, 0.23), consistent with results from an independent analysis of airborne estimates of land‐atmospheric fluxes during 2010. Relative to the long‐term mean, the 2010 drought resulted in a reduction in biomass carbon uptake of 1.1 Pg C, compared to 1.6 Pg C for the 2005 event.
More
Translated text
Key words
carbon,forest productivity,water deficit,precipitation,vegetation dynamics,tree mortality
求助PDF
上传PDF
Bibtex
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
  • Pretraining has recently greatly promoted the development of natural language processing (NLP)
  • We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
  • We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
  • The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
  • Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Related Papers

East Texas Forests Show Strong Resilience to Exceptional Drought

Tilak Chaudhary,Weimin Xi,Mukti Subedi,Sandra Rideout-Hanzak,Haibin Su, Nicholas P. Dewez, Stephen Clarke
FORESTRY 2023

被引用3

Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper

要点】:研究分析了2010年亚马逊雨林在重复干旱影响下的森林动态,发现干旱导致森林生物量减少,与2005年干旱的影响不同,2010年干旱使得亚马逊雨林碳汇功能逆转,成为碳中性。

方法】:通过地面观测的森林死亡率与生长率数据,以及广泛的森林样地网络,对2010年干旱期间森林生物量的变化进行了评估。

实验】:研究利用了亚马逊森林样地网络中的地面观测数据,包括死亡率与生长率,数据集名称未明确提及;结果显示,2010年干旱期间森林生物量净变化为-0.43 Mg ha^-1,与1998年至2010年前基线期的生物量年净汇1.33 Mg ha^-1相比,干旱导致生物量年净影响为-1.95 Mg ha^-1。