Socio-Ecological Systems (SESs)-Identification and Spatial Mapping in the Central Himalaya

被引:8
作者
Kumar, Praveen [1 ,2 ]
Fuerst, Christine [2 ]
Joshi, P. K. [1 ,3 ]
机构
[1] Jawaharlal Nehru Univ JNU, Sch Environm Sci SES, New Delhi 110067, India
[2] Martin Luther Univ Halle Wittenberg, Dept Sustainable Landscape Dev, D-06120 Halle, Saale, Germany
[3] Jawaharlal Nehru Univ JNU, Special Ctr Disaster Res SCDR, New Delhi 110067, India
关键词
clustering; ecological units; mapping; PCA; socio-ecological systems; socio-economic units; SOCIAL-ECOLOGICAL SYSTEMS; CLIMATE-CHANGE; WESTERN-HIMALAYAS; COUPLED HUMAN; VULNERABILITY; POVERTY; ENVIRONMENT; GOVERNANCE; FRAMEWORK; IMPACTS;
D O I
10.3390/su13147525
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The Himalaya is a mosaic of complex socio-ecological systems (SESs) characterized by a wide diversity of altitude, climate, landform, biodiversity, ethnicity, culture, and agriculture systems, among other things. Identifying the distribution of SESs is crucial for integrating and formulating effective programs and policies to ensure human well-being while protecting and conserving natural systems. This work aims to identify and spatially map the boundaries of SESs to address the questions of how SESs can be delineated and what the characteristics of these systems are. The study was carried out for the state of Uttarakhand, India, a part of the Central Himalaya. The presented approach for mapping and delineation of SESs merges socio-economic and ecological data. It also includes validation of delineated system boundaries. We used 32 variables to form socio-economic units and 14 biophysical variables for ecological units. Principal component analysis followed by sequential agglomerative hierarchical cluster analysis was used to delineate the units. The geospatial statistical analysis identified 6 socio-economic and 3 ecological units, together resulting in 18 SESs for the entire state. The major characteristics for SESs were identified as forest types and agricultural practices, indicating the influence and dependency of SESs on these two features. The database would facilitate diverse application studies in vulnerability assessment, climate change adaptation and mitigation, and other socio-ecological studies. Such a detailed database addresses particularly site-specific characteristics to reduce risks and impacts. Overall, the identified SESs will help in recognizing local needs and gaps in existing policies and institutional arrangements, and the given methodological framework can be applied for the entire Himalayan region and for other mountain systems across the world.
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页数:22
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