横断山区产水量时空分布格局及影响因素研究

doi:10.31497/zrzyxb.20200210

自然资源学报 ›› 2020, Vol. 35 ›› Issue (2): 371-386.doi: 10.31497/zrzyxb.20200210

横断山区产水量时空分布格局及影响因素研究

王亚慧^1,2, 戴尔阜^1,2, 马良^1,2, 尹乐^1,2

1. 中国科学院地理科学与资源研究所生态系统网络观测与模拟重点实验室拉萨高原生态系统研究站,北京 100101;
2. 中国科学院大学,北京 100049

收稿日期:2018-12-18 修回日期:2019-06-20 出版日期:2020-02-28 发布日期:2020-02-28
通讯作者: 戴尔阜（1972- ）,男,甘肃平凉人,博士,研究员,主要从事土地利用与气候变化对生态系统的影响研究。E-mail: daief@igsnrr.ac.cn
作者简介:王亚慧（1990- ）,女,山西长治人,博士,主要从事土地利用及生态过程研究。E-mail: wangyah.15b@igsnrr.ac.cn
基金资助:
国家重点基础研究发展计划（973）项目（2015CB452702）; 国家自然科学基金项目（41571098,41530749）; 国家重点研发计划（2017YFC1502903）; 中国科学院科技战略咨询研究院重大咨询项目（Y02015003）

Spatiotemporal and influencing factors analysis of water yield in the Hengduan Mountain region

WANG Ya-hui^1,2, DAI Er-fu^1,2, MA Liang^1,2, YIN Le^1,2

1. Lhasa Plateau Ecosystem Research Station, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;
2. University of Chinese Academy of Sciences, Beijing 100049, China

Received:2018-12-18 Revised:2019-06-20 Online:2020-02-28 Published:2020-02-28

摘要/Abstract

摘要： 运用InVEST模型产水模块开展横断山区1990-2015年产水的量化评估,并开展相应的时空特征及影响因素分析。结果表明：（1）空间分布上,横断山区产水量均表现为南高北低的空间格局,垂直方向上,产水能力随着海拔的增加呈减小趋势。（2）1990-2015年产水深度表现为先小幅增大后明显减小再小幅增大的波动变化趋势。（3）不同土地利用类型的平均产水能力差异较大。其中以建设用地产水能力最强,约为550~920 mm;林地、草地居中,分别为438~650 mm和412~580 mm;未利用地和水域产水能力最弱,分别为273~457 mm和56~237 mm。（4）产水量空间分布与海拔及草地比例呈现显著的负相关,与降水量及林地比例呈显著正相关;时间变化上产水量与降水量呈显著正相关关系。该研究有助于推进山区生态系统服务研究的发展,其结果可为横断山区流域水资源管理、维持区域可持续发展提供科学支撑。

关键词: InVEST模型, 时空格局, 生态系统服务, 产水量, 横断山区

Abstract: In this study, we evaluated the water yield in the Hengduan Mountain region from 1990 to 2015 using the water yield module in the InVEST model; we further analyzed the corresponding spatial and temporal characteristics and influencing factors. The results show the following. First, water yield decreased with increasing altitude and tended to decrease from the southern to the northern areas. Second, water yield increased slightly from 1990 to 2000, decreased significantly from 2000 to 2010, and then increased slightly again from 2010-2015. Third, the average water yield varied greatly across different land use types: the water yield capacity of construction lands was the strongest, for about 550-920 mm; that of forests and grasslands were moderate, for about 438-650 mm and 412-580 mm, respectively; that of unused land and water areas were the weakest, for about 273-457 mm and 56-237 mm, respectively. Lastly, there exists a significant negative relationship between the water yield spatial pattern with elevation and grasslands proportion, while there is a positive relationship with precipitation and forests proportion. The temporal changes were attributed to the positive relationship with precipitation. Overall, this study promotes the development of mountain ES (ecosystem services) research, and the results provide scientific support for water resource management and sustainable development in the Hengduan Mountain region.

Key words: InVEST model, spatiotemporal pattern, ecosystem services, water yield, Hengduan Mountain region

王亚慧, 戴尔阜, 马良, 尹乐. 横断山区产水量时空分布格局及影响因素研究[J]. 自然资源学报, 2020, 35(2): 371-386.

WANG Ya-hui, DAI Er-fu, MA Liang, YIN Le. Spatiotemporal and influencing factors analysis of water yield in the Hengduan Mountain region[J]. JOURNAL OF NATURAL RESOURCES, 2020, 35(2): 371-386.

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横断山区产水量时空分布格局及影响因素研究

Spatiotemporal and influencing factors analysis of water yield in the Hengduan Mountain region

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