Journal article
Spatiotemporal scale and integrative methods matter for quantifying the driving forces of land cover change
The Science of the total environment, v 739, 139622
15 Oct 2020
PMID: 32535458
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Land cover change (LCC) is a major part of environmental change. Exploring the spatiotemporal differences in LCC and the driving factors is the basis for comprehensive research on landscape planning, and it is of great significance for future effective and sustainable landscape management. In this respect, cross-scale research with integrated methods is worthy of more attention, although some studies have discussed the driving forces of LCCs at either regional or local scale. We combined a structural equation model and a mixed-effects model for quantifying the driving forces of LCCs across different scales in the Loess Plateau (China), which is a typical region that has experienced significant LCCs over recent decades. The impacts of biophysical and socioeconomic factors on different change trajectories (agricultural intensification, urbanization and ecological restoration) were found to be inconsistent at different temporal and spatial scales. We found that topography had a negative effect on agricultural intensification during 1990–2010 and on urbanization during 1990–2000, but it had a positive effect on ecological restoration during 2000–2015 at the regional scale. Moreover, although there was no significant impact from economic development on any type of LCCs at the regional scale, its important influence could be seen in some of the township categories. Therefore, the path and scale dependence of driving forces is an important consideration in landscape planning and management to accommodate local conditions and fine-tuned analysis as decision-making supports.
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•Structural equation and mixed-effects model are effective land-cover change attribution.•Driving factors on land-cover transitions tend to be spatiotemporal scale dependent.•Fine-tuned analysis on driving forces is critical for landscape planning and management.
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Details
- Title
- Spatiotemporal scale and integrative methods matter for quantifying the driving forces of land cover change
- Creators
- Ying Luo - University of Chinese Academy of SciencesYihe Lü - University of Chinese Academy of SciencesLue Liu - University of Chinese Academy of SciencesHaibin Liang - University of Chinese Academy of SciencesTing Li - Xi'an University of Science and TechnologyYanjiao Ren - University of Chinese Academy of SciencesHualou Liang - School of Biomedical Engineering, Science, and Health Systems (1997-)
- Publication Details
- The Science of the total environment, v 739, 139622
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:000561794200018
- Scopus ID
- 2-s2.0-85086359977
- Other Identifier
- 991019320614204721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Environmental Sciences