基于遥感和InVEST模型的白龙江流域景观生物多样性时空格局研究
Spatiotemporal Change of Landscape Biodiversity Based on InVEST Model and Remote Sensing Technology in the Bailong RiverWatershed
查看参考文献32篇
|
文摘
|
以甘肃白龙江流域为例,结合遥感、GIS技术和InVEST模型,从景观地理学角度选取区域生境质量、植物净初级生产力和景观状态指数为评价指标,构建区域景观尺度上生物多样性空间格局综合评估方法,并在栅格像元尺度上开展白龙江流域景观生物多样性时空变化特征分析。结果表明:白龙江流域景观生物多样性空间格局差异显著,其生物多样性高值区主要集中在自然保护区和林业管护区,低值区主要分布在舟曲-武都-文县的白龙江两岸及其以北区域、宕昌县岷江沿岸、高寒稀疏植被区和高山积雪-裸岩区。1990~2010年,流域景观生物多样性较为丰富,整体呈现不断增长的趋势,个别局部区域减弱,其增长区主要体现在生态工程实施区和林业管护区,减少区多分布在人类活动频繁的城乡农耕区和灾害多发区。 |
|
其他语种文摘
|
Biodiversity is the material foundation and the environment guarantee that people are taken for their survival and development, and has four levels: molecular, species, ecosystem and landscape. The identification and understanding of the spatiotemporal variation of biodiversity in the landscape level are not just an important part of regional biodiversity monitoring and assessment, but also the first step in the formulation and implementation of the protection scheme. The Bailong River Watershed of the Gansu Province (BRWGP), one of the most abundant biodiversity regions in China, locating in the transitional ecotone along the Tibetan Plateau, Loess Plateau, and Qinba Mountains. The BRWGP served as a case to analyze the spatiotemporal heterogeneity of biodiversity. Based on the data integration analysis platforms of RS, GIS technology and InVEST 2.5.6, a comprehensive index system of biodiversity spatial patterns constructed with the incorporation of habitat quality, vegetation net primary productivity, and landscape state index by considering the difference of three assessment indicators intensity and influence degree. Meanwhile, AHP was used to determine the weights of index and GIS spatial technology apply to analyze the spatial distribution and differentiation of biodiversity under the landscape geography perspective. Our goal went to revise the biodiversity evaluation module of the In- VEST model and demonstrate biodiversity spatial patterns on a grid cell. The results indicated that biodiversity was high and had obvious spatial pattern variations in the BRWGP. Areas with higher biodiversity mainly distribute in the national nature reserve and forest, while the relatively poor biodiversity areas distribute in the valleys of the BRWGP between Zhouqu-Wudu-Wenxian, the valley of Minjiang in Tanchang County, alpine mountain snow regions, and bare rock zones. Moderate biodiversity areas appeared in agroforestry ecosystem, shrub and grassland, which a vegetation cover, species richness and habitat quality were general. In 1990-2010, biodiversity was high and increasing, the area proportion of higher biodiversity (critical areas) increased from 16.74% to 26.02%. Meanwhile, the high growth area of biodiversity change was concentrated in the ecological engineering zone and forest districts (Such as these forest districts of Duoer, Axia, the Minshan Mountain, Baishuijiang Nature Reserve), while biodiversity reduction area locates in the region of human activities intensively and frequently, such as cultivated area, urban and rural areas. |
|
来源
|
地理科学
,2018,38(6):979-986 【核心库】
|
|
DOI
|
10.13249/j.cnki.sgs.2018.06.018
|
|
关键词
|
生物多样性
;
生境质量
;
InVEST模型
;
白龙江流域
|
|
地址
|
1.
广西师范学院, 北部湾环境演变与资源利用教育部重点实验室, 广西, 南宁, 530001
2.
兰州大学资源环境学院, 西部环境教育部重点实验室, 甘肃, 兰州, 730000
3.
中国科学院亚热带农业生态研究所, 中国科学院亚热带农业生态过程重点实验室, 湖南, 长沙, 410125
|
|
语种
|
中文 |
|
文献类型
|
研究性论文 |
|
ISSN
|
1000-0690 |
|
学科
|
普通生物学;环境质量评价与环境监测 |
|
基金
|
广西自然科学基金
;
国家自然科学基金
;
广西师范学院博士科研启动经费项目
;
广西师范学院省部级重点实验室创新基地大学生创新实践训练计划项目
|
|
文献收藏号
|
CSCD:6285342
|
参考文献 共
32
共2页
|
|
1.
Butchart S H. Global biodiversity: Indicators of recent declines.
Science,2010,328(5982):1164-1168
|
CSCD被引
133
次
|
|
|
|
|
2.
Thompson I D. Biodiversity and ecosystem services: lessons from nature to improve management of planted forests for REDD-plus.
Biodivers Conserv,2014,23(10):2613-2635
|
CSCD被引
6
次
|
|
|
|
|
3.
Isbell F. Nutrient enrichment, biodiversity loss, and consequent declines in ecosystem productivity.
Proceedings of the National Academy of Sciences of the United States of America,2013,110(29):11911-11916
|
CSCD被引
49
次
|
|
|
|
|
4.
CBD (Secretarial of the Convention on Biological Diversity).
Global Biodiversity Outlook 4,2014:155-155
|
CSCD被引
3
次
|
|
|
|
|
5.
Zhao G S. Disturbance impacts of land use change on biodiversity conservation priority areas across China: 1990–2010.
Journal of Geographical Sciences,2015,25(5):515-529
|
CSCD被引
26
次
|
|
|
|
|
6.
彭羽. 生物多样性不同层次尺度效应及其耦合关系研究进展.
生态学报,2015,35(2):577-583
|
CSCD被引
24
次
|
|
|
|
|
7.
Lausch A. Linking Earth Observation and taxonomic, structural and functional biodiversity: local to ecosystem perspectives.
Ecological Indicators,2016,70:317-339
|
CSCD被引
16
次
|
|
|
|
|
8.
Scholes R J. Building a global observing system for biodiversity.
Current Opinion in Environmental Sustainability,2012,4(1):139-146
|
CSCD被引
9
次
|
|
|
|
|
9.
Pettorelli N. Satellite remote sensing, biodiversity research and conservation of the future.
Philosophical Transactions of the Royal Society B: Biological Sciences,2014,369:1-5
|
CSCD被引
4
次
|
|
|
|
|
10.
郭庆华. 生物多样性近地面遥感监测:应用现状与前景展望.
生物多样性,2016,24(11):1249-1266
|
CSCD被引
30
次
|
|
|
|
|
11.
Su Y. Spatial distribution of forest aboveground biomass in China: Estimation through combination of spaceborne lidar, optical imagery, and forest inventory data.
Remote Sensing of Environment,2016,173:187-199
|
CSCD被引
36
次
|
|
|
|
|
12.
马克平. 中国生物多样性监测网络建设: 从CForBio到Sino BON.
生物多样性,2015,23:1-2
|
CSCD被引
48
次
|
|
|
|
|
13.
Kooistra L. Assessing and predicting biodiversity in a floodplain ecosystem: assimilation of net primary production derived from imaging spectrometer data into a dynamic vegetation model.
Remote Sensing of Environment,2008,112(5):2118-2130
|
CSCD被引
9
次
|
|
|
|
|
14.
Vihervaara P. How to integrate remotely sensed data and biodiversity for ecosystem assessments at landscape scale.
Landscape Ecology,2015,30(3):501-516
|
CSCD被引
4
次
|
|
|
|
|
15.
Polasky S. The impact of land-use change on ecosystem services, biodiversity and returns to landowners: A case study in the state of minnesota.
Environmental and Resource Economics,2011,48(2):219-242
|
CSCD被引
102
次
|
|
|
|
|
16.
孙传谆. 基于InVEST模型的鄱阳湖湿地生物多样性情景分析.
长江流域资源与环境,2015,24(7):1119-1125
|
CSCD被引
17
次
|
|
|
|
|
17.
徐佩. 汶川地震灾区生物多样性热点地区分析.
生态学报,2013,33(3):718-725
|
CSCD被引
19
次
|
|
|
|
|
18.
谢余初. 甘肃白龙江流域生态系统粮食生产服务价值时空分异.
生态学报,2017,37(5):1719-1728
|
CSCD被引
14
次
|
|
|
|
|
19.
谢余初. 基于综合指数法的白龙江流域生物多样性空间分异特征研究.
生态学报,2017,37(19):6448-6456
|
CSCD被引
9
次
|
|
|
|
|
20.
Tallis H T.
InVEST 2.5.6 User's Guide,2013
|
CSCD被引
3
次
|
|
|
|
|
了解气象卫星更多信息，请访问