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Article

Spatially Variable Relationships between Karst Landscape Pattern and Vegetation Activities

1
Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
2
Academy of Plateau Science and Sustainability, Xining 810016, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(7), 1134; https://doi.org/10.3390/rs12071134
Submission received: 28 February 2020 / Revised: 29 March 2020 / Accepted: 1 April 2020 / Published: 2 April 2020
(This article belongs to the Special Issue Ecosystem Services with Remote Sensing)

Abstract

Based on the theories of structure–function correlation in Geography, and landscape pattern-ecological function correlation in Landscape Ecology, the correlation between land use fragmentation and vegetation activity was quantified. Effective mesh size (meff) was calculated to represent landscape fragmentation for land use, and the normalized difference vegetation index (NDVI) was used to reflect vegetation activity. The geographically weighted regression (GWR) model was applied to explore the spatial non-stationary relationship between meff and NDVI in a karst basin of the southwestern China, where environmental factors (i.e., climate, topography, and vegetation) are spatially heterogeneous. The spatial variation and scale dependence of landscape fragmentation and its relationship with vegetation activity, as well as the influence of lithology types and landforms relief, were considered. Firstly, the optimal ‘slide window’ size for landscape fragmentation was determined to be 500 m, and spatial pattern of meff displayed clear heterogeneity with a serious degree of fragmentation. Landscape fragmentation was more severe in carbonate areas than non-carbonate areas, reflecting the influence of landforms relief. More serious fragmentation in dolomite areas meant that the impact of human activities on the landscape morphological characteristics was much more significant than that in the limestone areas with steeper slope. Multi-scale analysis was used to verify a neighborhood size of 7 km for GWR in the study area. Negative effects on vegetation activity from landscape structural changes were more significant in limestone areas, which may be due to the more vulnerable ecosystems there. This research can provide scientific guidance for landscape management in karst regions as it considers the multi-scaled and spatially heterogeneous effects of lithology, geomorphology, and human factors on landscape structure and its correlation with vegetation activity.
Keywords: landscape fragmentation; vegetation activity; multi-scale; spatial variability; geo-statistic methods; karst areas of China landscape fragmentation; vegetation activity; multi-scale; spatial variability; geo-statistic methods; karst areas of China
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MDPI and ACS Style

Hou, W.; Gao, J. Spatially Variable Relationships between Karst Landscape Pattern and Vegetation Activities. Remote Sens. 2020, 12, 1134. https://doi.org/10.3390/rs12071134

AMA Style

Hou W, Gao J. Spatially Variable Relationships between Karst Landscape Pattern and Vegetation Activities. Remote Sensing. 2020; 12(7):1134. https://doi.org/10.3390/rs12071134

Chicago/Turabian Style

Hou, Wenjuan, and Jiangbo Gao. 2020. "Spatially Variable Relationships between Karst Landscape Pattern and Vegetation Activities" Remote Sensing 12, no. 7: 1134. https://doi.org/10.3390/rs12071134

APA Style

Hou, W., & Gao, J. (2020). Spatially Variable Relationships between Karst Landscape Pattern and Vegetation Activities. Remote Sensing, 12(7), 1134. https://doi.org/10.3390/rs12071134

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