草地学报

草地学报 ›› 2023, Vol. 31 ›› Issue (12): 3597-3607.DOI: 10.11733/j.issn.1007-0435.2023.12.004

• 研究论文 • 上一篇    下一篇

未来不同气候情景下全球草地生态系统及净初级生产力时空动态分析

范蒙恩1, 王佩尧1, 陈宇1, 刘欢欢1, 刘悦1, 陈印1, 刚成诚2,3, 马扶林4   

  1. 1. 西北农林科技大学草业与草原学院, 陕西 杨凌 712100;
    2. 西北农林科技大学水土保持研究所, 陕西 杨凌 712100;
    3. 中国科学院水利部水土保持研究所, 陕西 杨凌 712100;
    4. 青海省海北牧业气象试验站, 青海 海北 810200
  • 收稿日期:2023-05-30 修回日期:2023-08-23 出版日期:2023-12-15 发布日期:2024-01-03
  • 通讯作者: 刚成诚,E-mail:gangcc@ms.iswc.ac.cn
  • 作者简介:范蒙恩(2000-)，男，汉族，河南周口人，硕士研究生，主要从事草地生态遥感研究，E-mail:fmn@nwafu.edu.cn
  • 基金资助:
    国家自然科学基金项目(31602004)；青海省防灾减灾重点实验室开放基金(QFZ-2021-Z06)；陕西省自然科学基金(2021JQ-171)资助

Spatial and Temporal Dynamics of Global Grassland and Net Primary Productivity under Different Future Climate Scenarios

FAN Meng-en1, WANG Pei-yao1, CHEN Yu1, LIU Huan-huan1, LIU Yue1, CHEN Yin1, GANG Cheng-cheng2,3, MA Fu-lin4   

  1. 1. College of Grassland Agriculture,Northwest A&F University, Yangling, Shaanxi 712100, China;
    2. Institute of Soil and Water Conservation, Northwest A&F University, Yangling, Shaanxi 712100, China;
    3. Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, Yangling, Shaanxi 712100, China;
    4. Haibei Livestock Experiments Weather Station, Haibei, Qinghai 810200, China
  • Received:2023-05-30 Revised:2023-08-23 Online:2023-12-15 Published:2024-01-03

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摘要： 为揭示未来气候变化对草地生态系统的影响及其响应，本研究基于4种未来气候情景(包括SSP126，SSP245，SSP370和SSP585)数据，利用改进的综合顺序分类法和分段模型评估了2020—2100年全球草地生态系统及其净初级生产力(Net primary productivity,NPP)的时空格局及动态演变趋势。结果表明，在4个气候情景中，全球年均温和年降水量均将呈现整体上升的趋势。在SSP126和SSP245情景中，全球草地面积将下降，预计到2090 s将分别下降194.10和178.43万km2，主要原因在于冻原与高山草地面积的减少。相比之下，在SSP370和SSP585情景中，全球草地面积将呈现上升的趋势，预计到2090 s将分别上升67.59和136.72万km2，热带萨王纳面积增加最多。全球草地NPP在SSP126，SSP245，SSP370和SSP585情景中均将呈现上升趋势，预计到2090将分别上升0.25，1.96，5.78和7.52 Pg DW，其中，热带萨王纳NPP的贡献最大。在全球暖湿化背景下，冻原与高山草地和热带萨王纳更易受气候变化的影响。

关键词: 草地生态系统, 综合顺序分类法(CSCS), 分段模型, 净初级生产力(NPP), 未来气候情景

Abstract: In order to reveal the impacts of future climate change on grassland ecosystems and their responses,this study assessed the spatiotemporal dynamics of global grassland ecosystems and their net primary productivity (NPP) in 2020-2100 based on four future climate scenarios (including SSP126,SSP245,SSP370,and SSP585) using an improved comprehensive sequential classification system (CSCS) and a segmentation model. Results showed that the global mean annual temperature (MAT) and mean annual precipitation (MAP) would exhibit an overall upward trend in all four climate scenarios. In the SSP126 and SSP245 scenarios,the global grassland area was expected to decrease by 1.94 million km2 and 1.78 million km2 by 2090 s,respectively,mainly due to the reduction of tundra and alpine steppe. In contrast,the global grassland area was expected to increase by 0.68 and 1.37 million km2 by 2090 s in the SSP370 and SSP585 scenarios,respectively,which was mainly caused by the increase in the area of the tropical savanna. Global grassland NPP showed an increasing trend in SSP126,SSP245,SSP370,and SSP585 scenarios,expecting to increase by 0.25,1.96,5.78,and 7.52 Pg DW by 2090 s,respectively. Tropical savanna would contribute the most. In the context of global warming and humidification,tropical savanna and tundra and alpine steppe grasslands would be more vulnerable to future climate change.

Key words: Grassland ecosystems, Comprehensive sequential classification system(CSCS), The segmentation model, Net primary productivity (NPP), Future climate scenarios

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