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全球变化控制实验中植物生产力和碳交换的全球数据库。

A global database of plant production and carbon exchange from global change manipulative experiments.

机构信息

School of Life Science, Institute of Life Science and Green Development, Hebei University, Baoding, Hebei, 071002, China.

International Joint Research Laboratory for Global Change Ecology, School of Life Sciences, Henan University, Kaifeng, Henan, 475004, China.

出版信息

Sci Data. 2020 Oct 2;7(1):323. doi: 10.1038/s41597-020-00661-5.

DOI:10.1038/s41597-020-00661-5
PMID:33009397
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7532199/
Abstract

Numerous ecosystem manipulative experiments have been conducted since 1970/80 s to elucidate responses of terrestrial carbon cycling to the changing atmospheric composition (CO enrichment and nitrogen deposition) and climate (warming and changing precipitation regimes), which is crucial for model projection and mitigation of future global change effects. Here, we extract data from 2,242 publications that report global change manipulative experiments and build a comprehensive global database with 5,213 pairs of samples for plant production (productivity, biomass, and litter mass) and ecosystem carbon exchange (gross and net ecosystem productivity as well as ecosystem and soil respiration). Information on climate characteristics and vegetation types of experimental sites as well as experimental facilities and manipulation magnitudes subjected to manipulative experiments are also included in this database. This global database can facilitate the estimation of response and sensitivity of key terrestrial carbon-cycling variables under future global change scenarios, and improve the robust projection of global change‒terrestrial carbon feedbacks imposed by Earth System Models.

摘要

自 20 世纪 70/80 年代以来,已经进行了许多生态系统操纵实验,以阐明陆地碳循环对大气成分变化(CO2 富集和氮沉降)和气候(变暖以及降水格局变化)的响应,这对于模型预测和缓解未来全球变化的影响至关重要。在这里,我们从 2242 篇报告全球变化操纵实验的出版物中提取数据,并建立了一个综合的全球数据库,其中包含 5213 对植物生产(生产力、生物量和凋落物质量)和生态系统碳交换(总生态系统生产力和净生态系统生产力以及生态系统和土壤呼吸)的样本。该数据库还包括实验地点的气候特征和植被类型以及实验设施和操纵幅度的信息。这个全球数据库可以促进在未来全球变化情景下对关键陆地碳循环变量的响应和敏感性进行估计,并提高地球系统模型所施加的全球变化-陆地碳反馈的稳健预测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51bb/7532199/d6390d27d70b/41597_2020_661_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51bb/7532199/d234c2e54c41/41597_2020_661_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51bb/7532199/87529038d71f/41597_2020_661_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51bb/7532199/c08a836d8e7a/41597_2020_661_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51bb/7532199/d6390d27d70b/41597_2020_661_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51bb/7532199/d234c2e54c41/41597_2020_661_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51bb/7532199/87529038d71f/41597_2020_661_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51bb/7532199/c08a836d8e7a/41597_2020_661_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51bb/7532199/d6390d27d70b/41597_2020_661_Fig4_HTML.jpg

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