榆林市景观生态风险及其时空分异

doi:10.13866/j.azr.2019.02.27

摘要/Abstract

摘要： 以2000年、2005年、2010年和2015年ETM遥感影像为数据源,基于景观格局、生态敏感性和植被生产力构建景观生态风险综合指数,以ArcGIS 10.2和GS+9.0软件为平台,研究榆林市景观生态风险时空分异。结果表明:榆林市景观生态风险程度总体较高;2000年、2005年和2010年以中度风险为主,2015年以高度风险为主;2000—2010年,中度风险区范围在扩大,高度风险区范围在缩小;2010—2015年,中度风险区范围迅速缩小,而高度风险区范围迅速扩大。榆林市景观生态风险空间变异较小,景观生态风险空间相关性中等。2000年自然因素对景观生态风险空间变异的影响略大于人为因素的影响,2005年和2010年的影响基本相当,2015年则受自然因素影响较大。

关键词: 景观生态, 风险指数, 时空分异, 结构特征, 榆林, 陕西

Abstract: The ETM remote sensing images in 2000,2005,2010 and 2015 were taken as the data sources to conduct the comprehensive index of landscape ecological risk in Yulin based on the landscape pattern,ecological sensitivity and vegetation productivity. The ArcGIS 10.2 and GS+9.0 software were used as the platforms to study the spatiotemporal differentiation of landscape ecological risk in the study area. The results showed that the landscape ecological risk in Yulin was holistically high. Risk of the main part of the regional landscape ecological ecosystem was moderate in 2000,2005 and 2010,but high in 2015. From 2000 to 2010,the area with moderate risk was enlarged,but that with high risk was reduced. From 2010 to 2015,the area with moderate risk was reduced rapidly,but that with high risk was enlarged rapidly. The spatial variation of landscape ecological risk was low in Yulin,and the spatial correlation of landscape ecological risk was moderate. The effect of natural factors (such as landform and climate) on the spatial variation of landscape ecological risk was slightly higher than that of human factors in 2000,and it was almost equal to each other in 2005 and 2010. In 2015,however,the effect of natural factors on the spatial variation of landscape ecological risk was high.

Key words: landscape ecological, risk index, spatiotemporal variation, structural feature, Yulin, Shaanxi Province

石玉琼, 王宁练, 李团胜, 汪晗. 榆林市景观生态风险及其时空分异[J]. 干旱区研究, 2019, 36(2): 494-504.

SHI Yu-qiong, WANG Ning-lian, LI Tuan-sheng, WANG Han. Landscape Ecological Risk and Its Spatiotemporal Variation in Yulin[J]. Arid Zone Research, 2019, 36(2): 494-504.

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