Analysis of the Spatiotemporal Heterogeneity of Various Landscape Processes and Their Driving Factors Based on the OPGD Model for the Jiaozhou Bay Coast Zone, China

To date, various studies have analyzed changes in the landscape but there are few studies which have explored landscape processes and the corresponding driving factors. This study makes up for this deficiency in the systematic theoretical exposition and the spatiotemporal analysis of landscape proce...

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Main Authors: Wei Wang, Yecui Hu, Rong Song, Zelian Guo
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Land
Subjects:
Online Access:https://www.mdpi.com/2073-445X/11/1/7
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author Wei Wang
Yecui Hu
Rong Song
Zelian Guo
author_facet Wei Wang
Yecui Hu
Rong Song
Zelian Guo
author_sort Wei Wang
collection DOAJ
description To date, various studies have analyzed changes in the landscape but there are few studies which have explored landscape processes and the corresponding driving factors. This study makes up for this deficiency in the systematic theoretical exposition and the spatiotemporal analysis of landscape processes. The results show that the amount of arable land outflow and built-up land inflow have resulted in an increase of 92,311.11 ha of built-up land that is mostly distributed around the administrative center and along the coast of Jiaozhou Bay. The outflow of ecological land is a major resource for replenishing arable land, by 37,016.19 ha, especially in terms of the grassland that is distributed in the hilly areas west of Jiaozhou Bay. The outflow of the salt-field, fish-farm and ecological land outflow have good connectivity, a large patch size, and an irregular shape. The ecological type, elevation, slope, and vegetation coverage are the four factors that have a great influence on all landscape processes. A gentler slope and lower elevation, and proximity to cities and towns land will produce more arable land outflow and built-up land inflow. However, arable land inflow and ecological land outflow are the opposite. This research will guide natural resource management for a rapidly developing coastal zone.
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spelling doaj.art-50a175eccc9a49f79778ea384f7a01792023-11-23T14:21:09ZengMDPI AGLand2073-445X2021-12-01111710.3390/land11010007Analysis of the Spatiotemporal Heterogeneity of Various Landscape Processes and Their Driving Factors Based on the OPGD Model for the Jiaozhou Bay Coast Zone, ChinaWei Wang0Yecui Hu1Rong Song2Zelian Guo3School of Land Science and Technology, China University of Geosciences, 29 Xueyuan Rd, Beijing 100083, ChinaSchool of Land Science and Technology, China University of Geosciences, 29 Xueyuan Rd, Beijing 100083, ChinaSchool of Land Science and Technology, China University of Geosciences, 29 Xueyuan Rd, Beijing 100083, ChinaSchool of Land Science and Technology, China University of Geosciences, 29 Xueyuan Rd, Beijing 100083, ChinaTo date, various studies have analyzed changes in the landscape but there are few studies which have explored landscape processes and the corresponding driving factors. This study makes up for this deficiency in the systematic theoretical exposition and the spatiotemporal analysis of landscape processes. The results show that the amount of arable land outflow and built-up land inflow have resulted in an increase of 92,311.11 ha of built-up land that is mostly distributed around the administrative center and along the coast of Jiaozhou Bay. The outflow of ecological land is a major resource for replenishing arable land, by 37,016.19 ha, especially in terms of the grassland that is distributed in the hilly areas west of Jiaozhou Bay. The outflow of the salt-field, fish-farm and ecological land outflow have good connectivity, a large patch size, and an irregular shape. The ecological type, elevation, slope, and vegetation coverage are the four factors that have a great influence on all landscape processes. A gentler slope and lower elevation, and proximity to cities and towns land will produce more arable land outflow and built-up land inflow. However, arable land inflow and ecological land outflow are the opposite. This research will guide natural resource management for a rapidly developing coastal zone.https://www.mdpi.com/2073-445X/11/1/7landscapespatiotemporal featuresgeographical detectors modelR “GD” packagecoastal zone
spellingShingle Wei Wang
Yecui Hu
Rong Song
Zelian Guo
Analysis of the Spatiotemporal Heterogeneity of Various Landscape Processes and Their Driving Factors Based on the OPGD Model for the Jiaozhou Bay Coast Zone, China
Land
landscape
spatiotemporal features
geographical detectors model
R “GD” package
coastal zone
title Analysis of the Spatiotemporal Heterogeneity of Various Landscape Processes and Their Driving Factors Based on the OPGD Model for the Jiaozhou Bay Coast Zone, China
title_full Analysis of the Spatiotemporal Heterogeneity of Various Landscape Processes and Their Driving Factors Based on the OPGD Model for the Jiaozhou Bay Coast Zone, China
title_fullStr Analysis of the Spatiotemporal Heterogeneity of Various Landscape Processes and Their Driving Factors Based on the OPGD Model for the Jiaozhou Bay Coast Zone, China
title_full_unstemmed Analysis of the Spatiotemporal Heterogeneity of Various Landscape Processes and Their Driving Factors Based on the OPGD Model for the Jiaozhou Bay Coast Zone, China
title_short Analysis of the Spatiotemporal Heterogeneity of Various Landscape Processes and Their Driving Factors Based on the OPGD Model for the Jiaozhou Bay Coast Zone, China
title_sort analysis of the spatiotemporal heterogeneity of various landscape processes and their driving factors based on the opgd model for the jiaozhou bay coast zone china
topic landscape
spatiotemporal features
geographical detectors model
R “GD” package
coastal zone
url https://www.mdpi.com/2073-445X/11/1/7
work_keys_str_mv AT weiwang analysisofthespatiotemporalheterogeneityofvariouslandscapeprocessesandtheirdrivingfactorsbasedontheopgdmodelforthejiaozhoubaycoastzonechina
AT yecuihu analysisofthespatiotemporalheterogeneityofvariouslandscapeprocessesandtheirdrivingfactorsbasedontheopgdmodelforthejiaozhoubaycoastzonechina
AT rongsong analysisofthespatiotemporalheterogeneityofvariouslandscapeprocessesandtheirdrivingfactorsbasedontheopgdmodelforthejiaozhoubaycoastzonechina
AT zelianguo analysisofthespatiotemporalheterogeneityofvariouslandscapeprocessesandtheirdrivingfactorsbasedontheopgdmodelforthejiaozhoubaycoastzonechina