Decrease of net primary productivity in China's terrestrial ecosystems caused by severe droughts in 2009

作者
Yibo Liu,Weimin Ju,Mingzhu He,Gaolong Zhu,Yanlian Zhou
出处
期刊:International Workshop on Earth Observation and Remote Sensing Applications 卷期号:: 59-63
标识
DOI:10.1109/eorsa.2012.6261135
摘要

In 2009, terrestrial ecosystems in China were hit by a series of droughts in different seasons. However, the degree at which net primary productivity (NPP) of terrestrial ecosystems was affected in China is not clear yet. In this study, the remote sensing driven process-based Boreal Ecosystem Productivity Simulator (BEPS) model was used to estimate NPP decrease in China's terrestrial ecosystems caused by the abnormal droughts in 2009. The results show that the BEPS model is able to estimate gross primary productivity (GPP) and NPP of China's terrestrial ecosystems reliably. Estimated GPP and NPP show similar spatial patterns, decreasing from east to west and from south to north. In 2009, annual NPP was lower than the averages over the period from 2000 to 2010 in most regions of China, especially in areas of southern China. The decrease of annual NPP in 2009 over southeast Tibet and southeast coastal areas was even more than 100 g C m−2yr−1. The annual total NPP of Hunan and Yunnan provinces, Guangxi and Tibet autonomous regions in 2009 decreased by 4% to 6% of multi-year means, owing to the impact of consecutive drought from summer to winter in these areas. The national total of NPP in this year decreased about 35.5 Tg C yr−1, approximately equivalent to 1% of annual total NPP in China's terrestrial ecosystems averaged during the period from 2000 to 2010.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
田様的应助被科研通管家采纳,获得10
1秒前
1秒前
完美世界的应助被科研牛马ing采纳,获得10
1秒前
provin发布了新的文献求助30
1秒前
orixero的应助被科研通管家采纳,获得10
1秒前
风吹麦浪的应助被科研通管家采纳,获得10
1秒前
sjdove发布了新的文献求助10
1秒前
慕青的应助被科研通管家采纳,获得10
1秒前
Jasper的应助被科研通管家采纳,获得10
1秒前
1秒前
小马甲的应助被科研通管家采纳,获得10
2秒前
v0id的应助被科研通管家采纳,获得10
2秒前
深情安青的应助被科研通管家采纳,获得10
2秒前
Jasper的应助被科研通管家采纳,获得10
2秒前
1arkspur的应助被科研通管家采纳,获得10
2秒前
英姑的应助被科研通管家采纳,获得10
2秒前
木棉花糖发布了新的文献求助10
2秒前
2秒前
李健的应助被科研通管家采纳,获得10
3秒前
Ava的应助被wei采纳,获得10
3秒前
NexusExplorer的应助被胡子采纳,获得10
3秒前
3秒前
4秒前
4秒前
5秒前
5秒前
5秒前
5秒前
5秒前
7秒前
7秒前
Kraghc发布了新的文献求助10
7秒前
CodeCraft的应助被无所谓采纳,获得10
7秒前
风禾尽起发布了新的文献求助10
8秒前
马尔英发布了新的文献求助10
9秒前
iiiiiuy发布了新的文献求助10
9秒前
10秒前
Judy发布了新的文献求助10
10秒前
11秒前
tangtang完成签到,获得积分10
11秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Encyclopedia of Modern Artificial Intelligence 1000
Особенности технологий и методов информационно-психологических войн СССР с Великобританией и США в период 1939-1953 гг 1000
Das Matthäusevangelium: Kapitel 1:1–17 1000
IRTSD: Open-Source Data and Toolset for Electromagnetic Transient Analysis of Disturbances and IBR Control Malfunctions in Transmission Systems 1000
Challenging Attachment Theory 600
Analyses de reconnaissances de dettes passées devant les échevins d'Ypres (1249-1291) 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8140269
求助须知:如何正确求助?哪些是违规求助? 9540579
关于积分的说明 21641114
捐赠科研通 7724345
什么是DOI,文献DOI怎么找? 3421054
关于科研通互助平台的介绍 2546262
邀请新用户注册赠送积分活动 2463114