干旱区生态环境知识资源中心(Arid): 荒漠草场地上生物量的遥感监测--以内蒙古阿拉善盟为例

Arid

	荒漠草场地上生物量的遥感监测--以内蒙古阿拉善盟为例
其他题名	Remote Sensing Monitoring of Biomass on Desert Grassland: A Case Study of Alxa League in Inner Mongolia
	陈琪; 赵健; 杨九艳; 孙艳霞; 贾喆亭; 闫瑞玲; 李红霞
来源期刊	中国草地学报
ISSN	1673-5021
出版年	2020
卷号	42 期号:2 页码:105-116
中文摘要	基于1981~2000年NOAA-NDVI、2001~2018年MODIS-NDVI遥感数据以及72个样地调查数据,构建地面样方地上生物量和遥感数据的关系模型,分析内蒙古阿拉善盟草地地上生物量的时空分布规律。结果表明:(1)建立的各生物量模型中,幂函数的相关性最优,模型精度达78%,可进行遥感估测实际应用;(2)阿拉善盟草场38年间平均地上生物量为123.7kg/hm~2,变化范围在80~200kg/hm~2之间;(3)阿拉善盟草场地上生物量的空间分布格局整体为东高西低的趋势,随时间的推移西部地区生物量有下降趋势,而东部地区生物量则有升高趋势;(4)研究区温度和降水量随时间变化均呈上升趋势,变化速率分别为0.2℃/10a和4.8mm/10a。温度和降水量都有明显的空间差异,生物量与降水量的相关性比与温度相关性强。
英文摘要	The monitoring of grassland aboveground biomass is not only an extremely important measure index for the spatial dynamics of grassland resources, but also a very important basis for the monitoring of livestock balance and the rational utilization of grassland resources. Based on the remote sensing of NOAA-NDVI (1981~2000) and MODIS-NDVI (2001~2018) and the survey data of 72 sample plot, the relationship model between aboveground biomass and remote sensing data of the sample plots was constructed to analyze the spatial and temporal distribution of aboveground biomass in Alxa league grassland in Inner Mongolia. Research indicated: (1) Among the established models, the correlation of power function was the best, and the model accuracy was 78%, which could be used for remote sensing estimation and practical application; (2) The average aboveground biomass of Alxa league grassland in 38 years was 123.7kg/hm~2, ranging from 80kg/hm~2 to 200kg/hm~2; (3) The spatial distribution pattern of biomass on the Alxa league grassland was generally high in the east and low in the west, and the biomass in the western region had a downward trend with time, while the biomass in the eastern region had an upward trend; (4) Temperature and precipitation in the study area showed an upward trend with time, and the change rates were 0.2℃/10a and 4.8mm/10a, respectively. Both temperature and precipitation had obvious spatial distribution differences, and the correlation between biomass and precipitation was stronger than that of temperature.
中文关键词	阿拉善盟 ; 地上生物量 ; 遥感 ; 归一化植被指数
英文关键词	Alxa league Aboveground biomass Remote sensing Normalized vegetation index
类型	Article
语种	中文
收录类别	CSCD
WOS研究方向	Agriculture
CSCD记录号	CSCD:6703663
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/336387
作者单位	陈琪, 内蒙古大学生态与环境学院, 呼和浩特, 内蒙古 010021, 中国.; 孙艳霞, 内蒙古大学生态与环境学院, 呼和浩特, 内蒙古 010021, 中国.; 贾喆亭, 内蒙古大学生态与环境学院, 呼和浩特, 内蒙古 010021, 中国.; 闫瑞玲, 内蒙古大学生态与环境学院, 呼和浩特, 内蒙古 010021, 中国.; 赵健, 阿拉善盟额济纳旗草原工作站, 内蒙古 735400, 中国.; 李红霞, 阿拉善盟额济纳旗草原工作站, 内蒙古 735400, 中国.; 杨九艳, 内蒙古大学生态与环境学院;;蒙古高原生态学与资源利用教育部重点实验室暨省部共建草地生态学国家重点实验室培育基地, ;;蒙古高原生态学与资源利用教育部重点实验室暨内蒙古省部共建草地生态学国家重点实验室培育基地, 呼和浩特;;呼和浩特, 内蒙古;;内蒙古 010021;;010021, 中国.
推荐引用方式 GB/T 7714	陈琪,赵健,杨九艳,等. 荒漠草场地上生物量的遥感监测--以内蒙古阿拉善盟为例[J],2020,42(2):105-116.
APA	陈琪.,赵健.,杨九艳.,孙艳霞.,贾喆亭.,...&李红霞.(2020).荒漠草场地上生物量的遥感监测--以内蒙古阿拉善盟为例.中国草地学报,42(2),105-116.
MLA	陈琪,et al."荒漠草场地上生物量的遥感监测--以内蒙古阿拉善盟为例".中国草地学报 42.2(2020):105-116.