[1]王晶晶,孙玲,王志明,等.基于GF-2影像的江苏耕地破碎地区景观格局空间粒度效应分析[J].江苏农业学报,2020,(03):606-612.[doi:doi:10.3969/j.issn.1000-4440.2020.03.011]
 WANG Jing-jing,SUN Ling,WANG Zhi-ming,et al.Effect analysis of spatial grain size on cultivated landscape pattern in fragmented agricultural landscapes in Jiangsu province based on GF-2 imagery[J].,2020,(03):606-612.[doi:doi:10.3969/j.issn.1000-4440.2020.03.011]
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基于GF-2影像的江苏耕地破碎地区景观格局空间粒度效应分析()
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江苏农业学报[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2020年03期
页码:
606-612
栏目:
耕作栽培·资源环境
出版日期:
2020-06-30

文章信息/Info

Title:
Effect analysis of spatial grain size on cultivated landscape pattern in fragmented agricultural landscapes in Jiangsu province based on GF-2 imagery
作者:
王晶晶12孙玲1王志明1黄晓军1单捷1李牧1
(1.江苏省农业科学院农业信息研究所,江苏南京210014;2.自然资源部海岸带开发与保护重点实验室,江苏南京210017)
Author(s):
WANG Jing-jing12SUN Ling1WANG Zhi-ming1HUANG Xiao-jun1SHAN Jie1LI Mu1
(1.Institute of Agricultural Information, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China;2.Key Laboratory of Coastal Zone Exploitation and Protection, Ministry of Natural Resources, Nanjing 210017, China)
关键词:
高分二号耕地景观格局空间粒度
Keywords:
GF-2cultivated landlandscape patternspatial grain
分类号:
TP79
DOI:
doi:10.3969/j.issn.1000-4440.2020.03.011
文献标志码:
A
摘要:
本研究选用国产高分二号卫星(GF-2)遥感影像为数据源,在不同类型耕地遥感识别的基础上,利用景观格局指数分析方法,探索研究区水稻地、大豆地、蔬菜地、休闲耕地和大棚种植地这5类耕地景观的景观格局指数空间粒度效应。结果表明,5类耕地景观的斑块所占景观面积比例对粒度变化不敏感;面积加权平均斑块分维数随着粒度增大,变化幅度较小;平均斑块面积和平均最近距离随着粒度的增大呈现不同程度增加的趋势;边缘密度、面积加权邻近指数和聚集度指数随着粒度的增大呈现不同程度下降的趋势。大豆地和休闲耕地的边缘密度以及聚集度指数随着粒度增大降幅最明显,水稻地的平均最近距离随着粒度增加增幅最明显。
Abstract:
In this study, a concentrated area of cultivated land in the suburban area of Nanjing City in Jiangsu province was taken as the study area. Based on the analysis of Chinese GF-2 high spatial resolution data, different types of cultivated land in the study area were extracted, including rice land, soybean land, vegetable land, fallow land and greenhouse cultivation land. On this basis, a series of landscape pattern indices were used to analyze the effects of spatial grain size on different types of cultivated land landscape pattern characteristics. The percentage of landscape of five types of cultivated land in the study area remained stable with the increase of grain size, and the area-weighted mean patch fractal dimension index of the five types of cultivated land landscape in the study area changed slightly. The mean patch area and mean nearest neighbor index increased in different degrees with the increase of grain size, while edge density, area-weighted mean contiguity index and patch cohesion index decreased in different degrees with the increase of grain size. Among the five types of cultivated land landscape, the edge density and patch cohesion index of soybean land and fallow land decreased most obviously with the increase of grain size, and the mean nearest neighbor index of rice land increased most obviously with the increase of grain size.

参考文献/References:

[1]郝卫平,梅旭荣,蔡学良,等. 基于多时相遥感影像的东北三省作物分布信息提取[J]. 农业工程学报, 2011, 27(1): 201-207.
[2]肖笃宁. 宏观生态学研究的特点与方法[J]. 应用生态学报, 1994, 5(1): 95-102.
[3]SHEN S, YUE P, FAN C. Quantitative assessment of land use dynamic variation using remote sensing data and landscape pattern in the Yangtze River Delta, China[J]. Sustainable Computing: Informatics and Systems, 2019, 23: 111-119.
[4]陈正发,史冬梅,何伟,等. 1980-2015年云南坡耕地资源时空分布及演变特征分析 [J]. 农业工程学报, 2019, 35(15): 256-265.
[5]TURNER M G. Spatial and temporal analysis of landscape patterns[J]. Landscape Ecology, 1990, 4(1): 21-30.
[6]申卫军,邬建国,林永标,等. 空间粒度变化对景观格局分析的影响 [J]. 生态学报, 2003, 23(12): 2506-2519.
[7]WU J G. Effects of changing scale on landscape pattern analysis: scaling relations [J]. Landscape Ecology, 2004, 19(2):125-138.
[8]BENSON B J, MACKENZIE M D. Effects of sensor spatial resolution on landscape structure parameters [J]. Landscape Ecology, 1995, 10(2):113-120.
[9]朱明,濮励杰,李建龙. 遥感影像空间分辨率及粒度变化对城市景观格局分析的影响 [J]. 生态学报, 2008, 28(6): 2753-2763.
[10]张庆印,樊军. 高精度遥感影像下农牧交错带小流域景观特征的粒度效应 [J]. 生态学报, 2013, 33(24): 7739-7747.
[11]南京市江宁区统计局. 江宁统计年鉴-2019 [EB/OL]. (2019-10-15)
[2019-11-01]. http://www.jiangning.gov.cn/sjfb/tjnj/201910/P020191015422153679513.pdf.
[12]中华人民共和国国家质量监督检验检疫总局中国国家标准化管理委员会. 土地利用现状分类:GB/T 21010-2017[S]. 北京: 中国标准出版社, 2017:1-9.
[13]王新明,王长耀,占玉林,等. 大尺度景观结构指数的因子分析 [J]. 地理与地理信息科学, 2006, 22(1):17-21.
[14]徐丽华,岳文泽,曹宇. 上海市城市土地利用景观的空间尺度效应 [J]. 应用生态学报, 2007, 18(12): 2827-2834.
[15]李鑫,欧名豪,马贤磊. 基于景观指数的细碎化对耕地利用效率影响研究——以扬州市里下河区域为例 [J]. 自然资源学报, 2011, 26(10): 1758-1767.
[16]梁洁,靳春燕,诺敏,等. 和林格尔县耕地景观时空变化分析[J]. 内蒙古农业大学学报(自然科学版), 2017, 38(2):27-36.
[17]韩逸,郭熙,江叶枫,等. 南方丘陵区耕地质量与景观格局指数相关性分析 [J]. 江苏农业学报, 2018, 34(5):1057-1065.
[18]SETO K C, FRAGKIAS M. Quantifying spatiotemporal patterns of urban land-use change in four cities of China with time series landscape metrics[J]. Landscape Ecology, 2005, 20(7): 871-888.
[19]FICHERA C R, MODICA G, POLLINO M. Land Cover classification and change-detection analysis using multi-temporal remote sensed imagery and landscape metrics[J]. European Journal of Remote Sensing, 2012, 45(1): 1-18.
[20]KONG F, YIN H, JAMES P, et al. Effects of spatial pattern of greenspace on urban cooling in a large metropolitan area of eastern China[J]. Landscape and Urban Planning, 2014, 128: 35-47.
[21]赵建鹏,杨秀峰,李国洪,等. 基于面向对象的设施蔬菜高分遥感影像提取[J].江苏农业学报,2019,35(4):911-9118.

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备注/Memo

备注/Memo:
收稿日期:2019-12-04基金项目:江苏省农业科技自主创新基金项目[CX(19)3093];自然资源部海岸带开发与保护重点实验室开放基金项目(2017CZEPK06)作者简介:王晶晶(1981-),女,江苏扬州人,博士,副研究员,主要从事农业遥感研究。(E-mail) immi103@163.com
更新日期/Last Update: 2020-07-14