Spatial Process Analysis of the Evolution of Farmland Landscape in China

Accurately identifying the patterns of evolution in farmland plays an important role in optimizing farmland management. The aim of this study is to classify the evolution patterns of farmland in China and explore related mechanisms, providing a reference for constructing a systematic farmland manage...

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Main Authors: Yan Fu, Qingwen Qi, Lili Jiang, Yapeng Zhao
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:ISPRS International Journal of Geo-Information
Subjects:
Online Access:https://www.mdpi.com/2220-9964/13/3/98
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author Yan Fu
Qingwen Qi
Lili Jiang
Yapeng Zhao
author_facet Yan Fu
Qingwen Qi
Lili Jiang
Yapeng Zhao
author_sort Yan Fu
collection DOAJ
description Accurately identifying the patterns of evolution in farmland plays an important role in optimizing farmland management. The aim of this study is to classify the evolution patterns of farmland in China and explore related mechanisms, providing a reference for constructing a systematic farmland management plan. Using land cover data from five periods in China, nine types of farmland evolution process are described and identified based on landscape process models. We analyzed these processes’ spatiotemporal dynamics and, by examining regional variations, achieved a zoned mapping of China’s farmland evolution. In this study, we combined natural and socioeconomic factors to analyze the mechanisms driving the evolution of farmland landscapes in China. The results indicated that from 1980 to 2020, areas of both lost and restored farmland showed a trend of first increasing and then decreasing, while the total area of farmland fluctuated. The remaining farmland types consisted mainly of core and edge. Their distribution was similar to that of the major agricultural regions in China. Expansion was the main means of farmland restoration. Farmland fragmentation was widespread, and, over time, it became increasingly severe. Shrinkage and subdivision dominated the farmland fragmentation. Altitude and slope had the greatest impact on the evolution patterns of farmland. Increasing urban industrialization and an increase in population density led to an increase in the demand for food production, which placed greater demands on the farmlands in the region. The farmland evolution pattern is a result of the interactions among multiple factors.
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spelling doaj.art-a7634b52677a4879b2e6c694e78771332024-03-27T13:44:56ZengMDPI AGISPRS International Journal of Geo-Information2220-99642024-03-011339810.3390/ijgi13030098Spatial Process Analysis of the Evolution of Farmland Landscape in ChinaYan Fu0Qingwen Qi1Lili Jiang2Yapeng Zhao3State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaAccurately identifying the patterns of evolution in farmland plays an important role in optimizing farmland management. The aim of this study is to classify the evolution patterns of farmland in China and explore related mechanisms, providing a reference for constructing a systematic farmland management plan. Using land cover data from five periods in China, nine types of farmland evolution process are described and identified based on landscape process models. We analyzed these processes’ spatiotemporal dynamics and, by examining regional variations, achieved a zoned mapping of China’s farmland evolution. In this study, we combined natural and socioeconomic factors to analyze the mechanisms driving the evolution of farmland landscapes in China. The results indicated that from 1980 to 2020, areas of both lost and restored farmland showed a trend of first increasing and then decreasing, while the total area of farmland fluctuated. The remaining farmland types consisted mainly of core and edge. Their distribution was similar to that of the major agricultural regions in China. Expansion was the main means of farmland restoration. Farmland fragmentation was widespread, and, over time, it became increasingly severe. Shrinkage and subdivision dominated the farmland fragmentation. Altitude and slope had the greatest impact on the evolution patterns of farmland. Increasing urban industrialization and an increase in population density led to an increase in the demand for food production, which placed greater demands on the farmlands in the region. The farmland evolution pattern is a result of the interactions among multiple factors.https://www.mdpi.com/2220-9964/13/3/98evolution process of farmlandfarmland fragmentationfarmland restoration
spellingShingle Yan Fu
Qingwen Qi
Lili Jiang
Yapeng Zhao
Spatial Process Analysis of the Evolution of Farmland Landscape in China
ISPRS International Journal of Geo-Information
evolution process of farmland
farmland fragmentation
farmland restoration
title Spatial Process Analysis of the Evolution of Farmland Landscape in China
title_full Spatial Process Analysis of the Evolution of Farmland Landscape in China
title_fullStr Spatial Process Analysis of the Evolution of Farmland Landscape in China
title_full_unstemmed Spatial Process Analysis of the Evolution of Farmland Landscape in China
title_short Spatial Process Analysis of the Evolution of Farmland Landscape in China
title_sort spatial process analysis of the evolution of farmland landscape in china
topic evolution process of farmland
farmland fragmentation
farmland restoration
url https://www.mdpi.com/2220-9964/13/3/98
work_keys_str_mv AT yanfu spatialprocessanalysisoftheevolutionoffarmlandlandscapeinchina
AT qingwenqi spatialprocessanalysisoftheevolutionoffarmlandlandscapeinchina
AT lilijiang spatialprocessanalysisoftheevolutionoffarmlandlandscapeinchina
AT yapengzhao spatialprocessanalysisoftheevolutionoffarmlandlandscapeinchina