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Assessment of Landscape Ecological Health

A CaseStudy of a Mining City in a Semi-Arid Steppe

Bibliographic Data

ID15514101
AuthorsZhenhua Wu (0000-0001-8719-057X, China University of Mining and Technology), Shaogang Lei (0000-0002-9962-9348, China University of Mining and Technology), Bao‐Jie He (0000-0002-8841-0711, UNSW Sydney), Zhengfu Bian (0000-0002-5036-0528, China University of Mining and Technology, corresponding author), Yinghong Wang (0000-0002-7657-1200, China University of Mining and Technology), Ying-Hong Wang (China University of Mining and Technology), Qingqing Lu (China University of Mining and Technology), Shangui Peng (0000-0002-1012-7764, Shandong Normal University), Linghua Duo (China University of Mining and Technology)
Year2019
Volume16
Issue5
Pages752-752
Publication date2019-03-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph16050752
PMID30832282
OpenAlexW2920781321
LanguageEN
Citations received6
References cited36

The ecological status of the semi-arid steppes in China is fragile. Under the long-term and high-intensity development of mining, the ecological integrity and biodiversity of steppe landscapes have been destroyed, causing soil pollution, grassland degradation, landscape function defect, and so on. Previous studies have mainly focused on ecosystem health assessment in mining areas. Landscape ecological health (LEH) pays more attention to the interactions between different ecosystems. Therefore, the ecological assessment of mining cities is more suitable on a landscape scale. Meanwhile, the existing LEH assessment index systems are not applicable in ecologically fragile areas with sparse population, underdeveloped economy, and in relatively small research areas. The purpose of this study was to construct a LEH assessment index system and evaluate the LEH of a mining city located in a semi-arid steppe. Xilinhot is a typical semi-arid steppe mining city in China. The contradictions between the human, land and ecological environment are serious. A new model Condition, Vigor, Organization, Resilience, and Ecosystem (CVORE) model was constructed that integrated five subsystems (services) from the perspectives of ecology, landscape ecology, mining science, and geography. This study used the CVORE model to systematically evaluate the LEH in Xilinhot city in terms of five LEH levels, including very healthy, healthy, sub-healthy, unhealthy and morbid landscape. Research results show that the areas of the very healthy, healthy, sub-healthy, unhealthy and morbid landscapes are 13.23, 736.35, 184.5, 66.76 and 20.63 km2, respectively. The healthy landscapes area accounts for 72.08% and most grasslands are healthy. The sub-healthy landscapes are mainly located around areas with higher disturbances due to human activities. The morbid or unhealthy landscapes are concentrated in the mining areas. The proposed CVORE model can enrich the foundations for the quantitative assessment of Landscape Ecological Health of Mining Cities in Semi-arid Steppe (LEHMCSS). This study provided a new LEH assessment approach (CVORE model), which can support landscape ecological restoration, ecological environmental protection and urban planning of the semi-arid steppe mining cities

Archaeology · Arid · Biology · Environmental resource management · Geography · Steppe · Diverse Scientific Research in Ukraine · Environmental Science · Legal, Health, Environmental and COVID-19 Challenges · Soil and Environmental Studies · Ecology

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Unique citing works6
Citations per year0,86
Citation span2019 - 2023 (5)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 6

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