首页|东北地区产水量时空分布格局及其驱动因素

东北地区产水量时空分布格局及其驱动因素

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近20年来,东北地区土地利用空间格局变化显著,且该区域处于我国最高纬度地区,是全球气候变化最敏感的区域之一,因此研究气候和土地利用变化对该区域水资源的影响,有助于该区域水资源的可持续管理.本研究基于1990年、2000年和2010年土地利用、气象和土壤数据,结合INVEST模型,研究近20年来东北地区产水量时空分布格局,并采用结构方程模型分析气候、土地利用变化对东北地区产水量的影响.结果表明,在1990-2010年间,中国东北地区产水量先降低后增加;空间尺度上,辽东山区、长白山区产水量较高、中部平原区产水量较低,而大、小兴安岭产水量则介于二者之间;结构方程模型分析表明,降水是导致东北地区产水量时空变化的主要因素,而温度和土地利用变化对研究区产水量的影响较小.
Spatiotemporal variation of water yield and its driving factors in Northeast China
Land use change across Northeast China experienced a significant spatiotemporal variation between 1990 and 2010.Northeast China is one of the most sensitive regions to global climate change.A better understanding of the effects of land use change and climate change on water yield is of great importance to water resource planning and sustainable management.Based on the land use data in 1990,2000,and 2010,meteorological data,and soil data,INVEST model was used to analyze the spatiotemporal changes in water yield in Northeast China from 1990 to 2010.Structural equations were used to explore the influence of climate change and land use change on water yield in Northeast China.The results showed that the water yield in Northeast China had a trend of increase after an initial decrease in the 20 years.In addition,montane regions of Eastern Liaoning Province and Changbai Mountain area had the highest water yield,while the plain area had the least water yield.The precipitation was estimated to be the main factor leading to the spatiotemporal variation of water yield in Northeast China,while temperature and land use change had a minor influence on water yield.

land use changeclimatic changeInVEST modelwater yield

吴健、李英花、黄利亚、卢正茂、于大炮、周莉、代力民

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中国科学院森林与管理重点实验室(沈阳应用生态研究所),沈阳110161

中国科学院大学,北京100049

吉林长白山西坡森林生态系统定位观测研究站,吉林抚松134506

吉林省长白山科学研究院,吉林安图133613

辽宁省森林经营研究所,辽宁丹东118002

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土地利用变化 气候变化 InVEST模型 产水量

中国科学院重点部署项目

KFZD-SW-305-001

2017

生态学杂志
中国生态学学会

生态学杂志

CSTPCDCSCD
影响因子:1.439
ISSN:1000-4890
年,卷(期):2017.36(11)
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