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生态学杂志 ›› 2024, Vol. 43 ›› Issue (6): 1833-1840.doi: 10.13292/j.1000-4890.202406.007

• 恢复生态 • 上一篇    下一篇

基于Biome-BGC模型的若尔盖不同沙地类型土壤水分植被承载力对气候变化的响应

张晨凤1,贺丽2,董廷发1,邓东周2*,刘俊雁1*


  

  1. 1西华师范大学生命科学学院, 四川南充 637009; 2四川省林业科学研究院 森林和湿地生态恢复与保育四川重点实验室, 成都 610081)

  • 出版日期:2024-06-10 发布日期:2024-06-20

Responses of soil water carrying capacity for vegetation in different sandy land types in Zoigê to climate change based on the Biome-BGC model.

ZHANG Chenfeng1, HE Li2, DONG Tingfa1, DENG Dongzhou2*, LIU Junyan1*   

  1. (1College of Life Sciences, China West Normal University, Nanchong 637009, Sichuan, China; 2 Sichuan Key Laboratory of Forest and Wetland Ecological Restoration and Conservation, Sichuan Academy of Forestry, Chengdu 610081, China).

  • Online:2024-06-10 Published:2024-06-20

摘要: 若尔盖地区是全球气候变化的敏感地区,同时也是我国黄河长江上游生态屏障的关键区域,然而目前针对全球气候变化背景下该地区的土壤水分植被承载力情况还不清楚。本文基于Biome-BGC模型,模拟了2007—2021年不同气候变化情景下若尔盖地区4种沙地类型(固定沙地、半固定沙地、流动沙地和露沙地)上典型植被沙棘的水分利用效率(WUE),再根据土壤水分植被承载力公式估算出不同沙地类型上沙棘的土壤水分植被承载力。结果表明:不同气候情景下,沙棘的WUE年均值均表现为露沙地 > 固定沙地 > 半固定沙地 > 流动沙地;与现行气候情景相比,未来气候变化情景下沙棘的WUE均有所下降,尤其在温度升高降水增加的情景下沙棘的WUE最低;不同气候情景下,沙棘的土壤水分植被承载力年均值均呈现固定沙地 > 半固定沙地 > 流动沙地 > 露沙地;与现行气候情景相比,未来气候变化情景下各类型沙地上的土壤水分植被承载力均有所下降;降水和气温对土壤水分植被承载力的影响存在耦合效应,其中降水对土壤水分植被承载力的影响大于气温。本研究揭示了若尔盖地区不同沙地类型上土壤水分植被承载力对气候变化的响应特征,对高寒沙地的生态治理与恢复具有一定的指导意义。


关键词: Biome-BGC模型, 气候变化, 土壤水分植被承载力, 若尔盖

Abstract: Zoigê is a sensitive region to global climate change and a key ecological barrier for the upper reaches of the Yellow River and Yangtze River in China. However, soil water carrying capacity for vegetation (SWCV) in this area under global climate change is still unclear. We used the Biome-BGC model to simulate water use efficiency (WUE) of typical Hippophae rhamnoides dominated vegetation on four types of sandy land (fixed sand land, semi-fixed sand land, shifting sand land, and exposure sand land) under various climate change scenarios from 2007 to 2021. The SWCV of H. rhamnoides on different types of sandy land was estimated based on the model. The results showed that under different climate scenarios, annual average WUE of H. rhamnoides ranked as exposure sand land > fixed sand land > semi-fixed sand land > shifting sand land. Compared to current climate scenario, WUE was generally lower under future climate change scenarios. Under the scenario with increased temperature and precipitation, WUE was the lowest among all scenarios. SWCV was ranked as fixed sand land > semi-fixed sand land > shifting sand land > exposure sand land under different climate scenarios. Compared to current climate scenario, the SWCV decreased on all types of sandy land under future climate change scenarios. Precipitation and temperature had a coupled effect on SWCV, with precipitation having a greater impact than temperature. By revealing the responses of SWCV on different sandy land types in the Zoigê area to climate change, this study provides guidance for ecological management and restoration of alpine sandy land in the region.


Key words: Biome-BGC model, climatic change, soil water carrying capacity for vegetation, Zoigê