地球信息科学学报 ›› 2020, Vol. 22 ›› Issue (10): 1946-1958.doi: 10.12082/dqxxkx.2020.200205
周玲1(), 李云梅1,*(
), 赵焕2, 房晟忠3, 颜翔3, 吕恒1
收稿日期:
2020-04-27
修回日期:
2020-08-16
出版日期:
2020-10-25
发布日期:
2020-12-25
通讯作者:
李云梅
E-mail:zhouzhoulingya@163.com;liyunmei@njnu.edu.cn
作者简介:
周玲(1993—),女,湖北黄冈人,硕士生,主要从事水环境遥感应用研究。E-mail:基金资助:
ZHOU Ling1(), LI Yunmei1,*(
), ZHAO Huan2, FANG Shengzhong3, YAN Xiang3, LV Heng1
Received:
2020-04-27
Revised:
2020-08-16
Online:
2020-10-25
Published:
2020-12-25
Contact:
LI Yunmei
E-mail:zhouzhoulingya@163.com;liyunmei@njnu.edu.cn
Supported by:
摘要:
滇池是中国最大的高原淡水湖泊,是长江上游生态安全格局的重要组成部分。自2008年起政府在滇池湖滨带大规模退耕还草还林,以恢复滇池及其湖滨生态。湖滨带植被对滇池总磷浓度的影响是一个长期过程,需要通过遥感长时间连续监测的数据来评价。本文以滇池和滇池湖滨带为研究区,从空间分布、季节差异2个角度,结合入湖河流总磷负荷,研究2005—2018年滇池湖滨植被时空变化对滇池总磷浓度的影响。主要结论如下:① 滇池总磷浓度由湖缘向湖心逐渐降低,并且北部和南部偏高;2005—2018年,滇池总磷浓度呈现显著下降趋势;② 2011—2018年滇池总磷浓度显著减小与湖滨带植被的拦截作用密切相关;③ 2005—2018年滇池湖滨带草本和木本植物面积都显著增加,增加最剧烈的年份是2010—2011年;④ 相比于平水期和丰水期,枯水期NDVI与强影响区总磷浓度负相关关系最强,且木本植物NDVI与强影响区总磷浓度负相关性强于草本。本文利用长时间序列数据评价滇池总磷浓度与其湖滨植被的响应关系,可为滇池湖泊生态恢复提供科学依据。
周玲, 李云梅, 赵焕, 房晟忠, 颜翔, 吕恒. 滇池湖滨带植被时空变化及其对滇池总磷浓度的影响[J]. 地球信息科学学报, 2020, 22(10): 1946-1958.DOI:10.12082/dqxxkx.2020.200205
ZHOU Ling, LI Yunmei, ZHAO Huan, FANG Shengzhong, YAN Xiang, LV Heng. The Spatiotemporal Changes of Vegetation in Lakeshore of Dianchi Lake and Its Impact on Total Phosphorus Concentration in Dianchi Lake[J]. Journal of Geo-information Science, 2020, 22(10): 1946-1958.DOI:10.12082/dqxxkx.2020.200205
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