• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

夏季气候变化的年际变化控制着 GPP 的长期变化。

Interannual variability in summer climate change controls GPP long-term changes.

机构信息

Ministry of Education Key Laboratory for Western Arid Region Grassland Resources and Ecology, College of Grassland Sciences, Xinjiang Agricultural University, Urumqi, 830052, China.

State Key Laboratory of Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, China.

出版信息

Environ Res. 2022 Sep;212(Pt C):113409. doi: 10.1016/j.envres.2022.113409. Epub 2022 May 10.

DOI:10.1016/j.envres.2022.113409
PMID:35523276
Abstract

Global environmental change is rapidly altering the dynamics of terrestrial vegetation, with implications for the functioning of the Earth system and the provision of ecosystem services. How vegetation responds to a changing environment is an important scientific issue, but there is a lack of coverage of the relative contributions that long-term variation and interannual variability in vegetation across seasons play in ecosystem response to global change. Here, we used four terrestrial ecosystem models provided by MsTMIP to examine four key environmental drivers of gross primary productivity (GPP) change over the period 1901-2010. Our findings showed that (1) for all seasons, interannual variability in climate change are the main environmental factor controlling seasonal GPP variability. (2) Summer is the key season controlling the variation of annual GPP, and its long-term trend and interannual variability can explain 61.50% of the variation of grassland GPP in China. (3) Interannual variability in summer climate change exceeded the CO fertilization effect and nitrogen deposition as the controlling component (more than 40%) of long-term variation in Chinese grassland GPP. These studies highlight the important role of interannual variability in climate in reshaping the seasonality of vegetation growth, and will provide a precursor to future environmental drivers that can be precisely attributed to global vegetation change.

摘要

全球环境变化正在迅速改变陆地植被的动态,这对地球系统的功能和生态系统服务的提供都有影响。植被如何应对变化的环境是一个重要的科学问题,但对于植被在季节间的长期变化和年际变异性在生态系统对全球变化的响应中所起的相对作用,还缺乏相关的研究。在这里,我们使用 MsTMIP 提供的四个陆地生态系统模型,研究了 1901-2010 年期间四个主要环境驱动因素对总初级生产力(GPP)变化的影响。研究结果表明:(1)对于所有季节,气候变化的年际变率是控制季节 GPP 变化的主要环境因素。(2)夏季是控制年总初级生产力变化的关键季节,其长期趋势和年际变率可以解释中国草原 GPP 变化的 61.50%。(3)夏季气候变化的年际变率超过了 CO 施肥效应和氮沉降,成为中国草原 GPP 长期变化的控制因素(超过 40%)。这些研究强调了气候年际变率在重塑植被生长季节性方面的重要作用,为未来可以精确归因于全球植被变化的环境驱动因素提供了先行研究。

相似文献

1
Interannual variability in summer climate change controls GPP long-term changes.夏季气候变化的年际变化控制着 GPP 的长期变化。
Environ Res. 2022 Sep;212(Pt C):113409. doi: 10.1016/j.envres.2022.113409. Epub 2022 May 10.
2
Grassland gross carbon dioxide uptake based on an improved model tree ensemble approach considering human interventions: global estimation and covariation with climate.基于考虑人类干预的改进模型树集成方法的草原总二氧化碳吸收量:全球估计及其与气候的相互关系。
Glob Chang Biol. 2017 Jul;23(7):2720-2742. doi: 10.1111/gcb.13592. Epub 2017 Jan 10.
3
Seasonal, interannual and decadal drivers of tree and grass productivity in an Australian tropical savanna.澳大利亚热带稀树草原中树木和草本植物生产力的季节性、年际和年代际驱动因素。
Glob Chang Biol. 2018 Jun;24(6):2530-2544. doi: 10.1111/gcb.14072. Epub 2018 Feb 28.
4
Photosynthetic capacity dominates the interannual variation of annual gross primary productivity in the Northern Hemisphere.光合作用能力主导了北半球年总初级生产力的年际变化。
Sci Total Environ. 2022 Nov 25;849:157856. doi: 10.1016/j.scitotenv.2022.157856. Epub 2022 Aug 5.
5
Satellite-observed increasing coupling between vegetation productivity and greenness in the semiarid Loess Plateau of China is not captured by process-based models.卫星观测到中国半干旱黄土高原植被生产力和绿色度之间的耦合呈增加趋势,但这一趋势并未被基于过程的模型所捕捉。
Sci Total Environ. 2024 Jan 1;906:167664. doi: 10.1016/j.scitotenv.2023.167664. Epub 2023 Oct 11.
6
Effects of climate change and human activities on gross primary productivity in the Heihe River Basin, China.气候变化和人类活动对中国黑河流域总初级生产力的影响。
Environ Sci Pollut Res Int. 2023 Jan;30(2):4230-4244. doi: 10.1007/s11356-022-22505-y. Epub 2022 Aug 15.
7
Inter-comparisons of mean, trend and interannual variability of global terrestrial gross primary production retrieved from remote sensing approach.遥感手段获取的全球陆地总初级生产力均值、趋势和年际变率的相互比较。
Sci Total Environ. 2022 May 20;822:153343. doi: 10.1016/j.scitotenv.2022.153343. Epub 2022 Jan 29.
8
Assessing the response of vegetation change to drought during 2009-2018 in Yunnan Province, China.评估 2009-2018 年期间中国云南省植被变化对干旱的响应。
Environ Sci Pollut Res Int. 2021 Sep;28(34):47066-47082. doi: 10.1007/s11356-021-13835-4. Epub 2021 Apr 22.
9
Revisiting the cumulative effects of drought on global gross primary productivity based on new long-term series data (1982-2018).基于新的长期序列数据(1982 - 2018年)重新审视干旱对全球总初级生产力的累积影响。
Glob Chang Biol. 2022 Jun;28(11):3620-3635. doi: 10.1111/gcb.16178. Epub 2022 Apr 7.
10
Atmospheric dryness thresholds of grassland productivity decline in China.中国草原生产力下降的大气干燥阈值。
J Environ Manage. 2023 Jul 15;338:117780. doi: 10.1016/j.jenvman.2023.117780. Epub 2023 Mar 23.