石羊河流域植被净初级生产力时空变化及驱动因素

doi:10.13866/j.azr.2023.05.14

干旱区研究 ›› 2023, Vol. 40 ›› Issue (5): 818-828.doi: 10.13866/j.azr.2023.05.14

石羊河流域植被净初级生产力时空变化及驱动因素

任丽雯^1,²(),王兴涛²,刘明春²(),王大为³

1.中国气象局兰州干旱气象研究所，甘肃省干旱气候变化与减灾重点实验室，中国气象局干旱气候变化与减灾重点实验室，甘肃兰州 730020
2.武威国家气候观象台，甘肃武威 733000
3.西北区域气候中心，甘肃兰州 730020

收稿日期:2022-07-01 修回日期:2022-10-02 出版日期:2023-05-15 发布日期:2023-05-30
通讯作者: 刘明春. E-mail: wwqxj6150343@163.com
作者简介:任丽雯（1989-），女，工程师，主要从事生态气象监测与分析评估. E-mail: rlw2116@126.com
基金资助:
干旱气象科学研究基金(IAM201910);甘肃省气象局气象科研项目(Ms2020-14);甘肃省气象局气象科研项目(Zd2021-02);西北干旱与生态环境遥感监测(GHSCXTD-2020-4)

Temporal and Spatial changes and the driving factors of vegetation NPP in Shiyang River Basin

REN Liwen^1,²(),WANG Xingtao²,LIU Mingchun²(),WANG Dawei³

1. Key Laboratory of Arid Climate Change and Disaster Reducing, China Meteorological Administration, Key Laboratory of Arid Climatic Change and Reducing Disaster of Gansu Province, Institute of Arid Meteorology, China Meteorological Administration, Lanzhou 730020, Gansu, China
2. Wuwei National Climatological Observatory, Wuwei 733000, Gansu, China
3. Northwest Regional Climate Center, Lanzhou 730020, Gansu, China

Received:2022-07-01 Revised:2022-10-02 Online:2023-05-15 Published:2023-05-30

摘要/Abstract

摘要：

利用CASA模型（Carnegie-Ames-Stanford Approach）模拟石羊河流域2000—2020年植被净初级生产力（NPP），分析流域NPP的时空变化特征、稳定性和未来变化趋势，并从气候因素、地形因素和人类活动因素3个方面探讨对NPP的变化影响。结果表明：（1）2000—2020年石羊河流域植被NPP多年平均值为291.01 g C·m^-2·a^-1，呈不显著增加趋势，空间分布呈南高北低的分布格局。（2） 2000年以来植被NPP呈增加趋势的区域占总面积的86.4%，其中极显著增加和显著增加的区域分别占6.7%和10.1%。（3） NPP变化在中等波动以上（变异系数C_v≥0.25）的区域所占比例为50.4%。（4）从未来变化趋势看，石羊河流域植被NPP恢复的持续性较弱，呈增加并反持续的地区所占比例达到57.1%。（5）流域的植被NPP变化与气温、降水均成正相关，对气温的响应更为敏感。NPP随海拔高度和坡度增加呈现增大后减小趋势，近年来流域实施的一系列人工造林、退耕还林还草等措施对植被NPP的增加具有明显促进作用。

关键词: 植被净初级生产力, 时空变化, 驱动因素, 石羊河流域

Abstract:

We estimated the vegetation NPP using the CASA model (Carnegie-Ames-Stanford Approach) in the Shiyang River Basin from 2000 to 2020 and analyzed the temporal and spatial variations, stability, and the future change trends of NPP. The influencing factors were also studied from three aspects, namely climate factors, topographic factors, and human activities. The results showed the following: (1) The average vegetation NPP in Shiyang River from 2000 to 2020 was 291.01 g C·m^-2·a^-1 and the increase was insignificant. The spatial distribution of vegetation NPP was generally high in the south and low in the north. (2) The proportion of the area of vegetation NPP increased by 86.4% since 2000. The proportions which were extremely significant increased significantly increased were 6.7% and 10.1%, respectively. (3) The proportion of the area where the change in vegetation NPP was moderately above a fluctuation degree [coefficient of variation (C_v)≥0.25] was 50.4%. (4) The future change trend indicated that the ability for vegetation NPP to continuously improve was weak, and the proportion of the area where the vegetation NPP had increased but could be reversed in the future was 57.1%. (5) The vegetation NPP was positively correlated with temperature and precipitation, but it was more sensitive to temperature. With increasing elevation and slope, the vegetation NPP first increased and then decreased. Artificial afforestation and returning farmland to forest and grassland significantly improved the vegetation NPP in recent years.

Key words: vegetation net primary productivity, temporal and spatial change, driving factors, Shiyang River Basin

任丽雯, 王兴涛, 刘明春, 王大为. 石羊河流域植被净初级生产力时空变化及驱动因素[J]. 干旱区研究, 2023, 40(5): 818-828.

REN Liwen, WANG Xingtao, LIU Mingchun, WANG Dawei. Temporal and Spatial changes and the driving factors of vegetation NPP in Shiyang River Basin[J]. Arid Zone Research, 2023, 40(5): 818-828.

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石羊河流域植被净初级生产力时空变化及驱动因素

Temporal and Spatial changes and the driving factors of vegetation NPP in Shiyang River Basin

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