The Interaction Relationship between Land Use Patterns and Socioeconomic Factors Based on Wavelet Analysis: A Case Study of the Black Soil Region of Northeast China

Analyzing the interaction between land use patterns (LUPs) and socioeconomic factors (SEFs) could provide a basis for regional land spatial planning and management decisions in the future. In this study, population, gross domestic product (GDP) and land use intensity were selected to explain the rel...

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Autores principales:	Yue Wang, Ge Song, Wenying Li
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	land use patterns socioeconomic factors wavelet analysis black soil region Agriculture S
Acceso en línea:	https://doaj.org/article/4329711d12d34adca850b44e7e396526
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spelling	oai:doaj.org-article:4329711d12d34adca850b44e7e3965262021-11-25T18:09:53ZThe Interaction Relationship between Land Use Patterns and Socioeconomic Factors Based on Wavelet Analysis: A Case Study of the Black Soil Region of Northeast China10.3390/land101112372073-445Xhttps://doaj.org/article/4329711d12d34adca850b44e7e3965262021-11-01T00:00:00Zhttps://www.mdpi.com/2073-445X/10/11/1237https://doaj.org/toc/2073-445XAnalyzing the interaction between land use patterns (LUPs) and socioeconomic factors (SEFs) could provide a basis for regional land spatial planning and management decisions in the future. In this study, population, gross domestic product (GDP) and land use intensity were selected to explain the relationship between SEFs and LUPs. The study designed a new method of sample line acquisition for wavelet analysis, and identified the interaction grid scales of LUP changes with SEFs in 1991, 2005 and 2019 by using cross wavelet transform analysis (XWT). Wavelet transform coherent analysis (WTC) was used to reveal the interaction direction and impact strength between LUPs and SEFs. The results showed that: (1) There were two ranges of 2978–5008 m and 24,400–29,738 m in which the grid scales showing interaction between LUPs and SEFs (population, GDP and land use intensity) from 1991 to 2019 were overlapping. (2) The interaction direction between LUPs and SEFs from 1991 to 2019 was almost negative on all sample lines, while the interaction directions of the middle sample line of population and GDP from 1991 to 2019, the end sample line of GDP in 2019, and the start sample line of land use intensity in 1991 were positive. (3) Dry land, grassland and construction land were most affected by SEFs, followed by paddy fields, forest land and other land, and the least affected were water areas during 1991 to 2019. The impact of population and GDP on LUPs was reduced, while the impact of land use intensity on LUPs was increased from 1991 to 2019. Overall, population, GDP and land use intensity were the important SEFs in the changes of LUPs, and were important factors for social progress and economic development.Yue WangGe SongWenying LiMDPI AGarticleland use patternssocioeconomic factorswavelet analysisblack soil regionAgricultureSENLand, Vol 10, Iss 1237, p 1237 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	land use patterns socioeconomic factors wavelet analysis black soil region Agriculture S
spellingShingle	land use patterns socioeconomic factors wavelet analysis black soil region Agriculture S Yue Wang Ge Song Wenying Li The Interaction Relationship between Land Use Patterns and Socioeconomic Factors Based on Wavelet Analysis: A Case Study of the Black Soil Region of Northeast China
description	Analyzing the interaction between land use patterns (LUPs) and socioeconomic factors (SEFs) could provide a basis for regional land spatial planning and management decisions in the future. In this study, population, gross domestic product (GDP) and land use intensity were selected to explain the relationship between SEFs and LUPs. The study designed a new method of sample line acquisition for wavelet analysis, and identified the interaction grid scales of LUP changes with SEFs in 1991, 2005 and 2019 by using cross wavelet transform analysis (XWT). Wavelet transform coherent analysis (WTC) was used to reveal the interaction direction and impact strength between LUPs and SEFs. The results showed that: (1) There were two ranges of 2978–5008 m and 24,400–29,738 m in which the grid scales showing interaction between LUPs and SEFs (population, GDP and land use intensity) from 1991 to 2019 were overlapping. (2) The interaction direction between LUPs and SEFs from 1991 to 2019 was almost negative on all sample lines, while the interaction directions of the middle sample line of population and GDP from 1991 to 2019, the end sample line of GDP in 2019, and the start sample line of land use intensity in 1991 were positive. (3) Dry land, grassland and construction land were most affected by SEFs, followed by paddy fields, forest land and other land, and the least affected were water areas during 1991 to 2019. The impact of population and GDP on LUPs was reduced, while the impact of land use intensity on LUPs was increased from 1991 to 2019. Overall, population, GDP and land use intensity were the important SEFs in the changes of LUPs, and were important factors for social progress and economic development.
format	article
author	Yue Wang Ge Song Wenying Li
author_facet	Yue Wang Ge Song Wenying Li
author_sort	Yue Wang
title	The Interaction Relationship between Land Use Patterns and Socioeconomic Factors Based on Wavelet Analysis: A Case Study of the Black Soil Region of Northeast China
title_short	The Interaction Relationship between Land Use Patterns and Socioeconomic Factors Based on Wavelet Analysis: A Case Study of the Black Soil Region of Northeast China
title_full	The Interaction Relationship between Land Use Patterns and Socioeconomic Factors Based on Wavelet Analysis: A Case Study of the Black Soil Region of Northeast China
title_fullStr	The Interaction Relationship between Land Use Patterns and Socioeconomic Factors Based on Wavelet Analysis: A Case Study of the Black Soil Region of Northeast China
title_full_unstemmed	The Interaction Relationship between Land Use Patterns and Socioeconomic Factors Based on Wavelet Analysis: A Case Study of the Black Soil Region of Northeast China
title_sort	interaction relationship between land use patterns and socioeconomic factors based on wavelet analysis: a case study of the black soil region of northeast china
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/4329711d12d34adca850b44e7e396526
work_keys_str_mv	AT yuewang theinteractionrelationshipbetweenlandusepatternsandsocioeconomicfactorsbasedonwaveletanalysisacasestudyoftheblacksoilregionofnortheastchina AT gesong theinteractionrelationshipbetweenlandusepatternsandsocioeconomicfactorsbasedonwaveletanalysisacasestudyoftheblacksoilregionofnortheastchina AT wenyingli theinteractionrelationshipbetweenlandusepatternsandsocioeconomicfactorsbasedonwaveletanalysisacasestudyoftheblacksoilregionofnortheastchina AT yuewang interactionrelationshipbetweenlandusepatternsandsocioeconomicfactorsbasedonwaveletanalysisacasestudyoftheblacksoilregionofnortheastchina AT gesong interactionrelationshipbetweenlandusepatternsandsocioeconomicfactorsbasedonwaveletanalysisacasestudyoftheblacksoilregionofnortheastchina AT wenyingli interactionrelationshipbetweenlandusepatternsandsocioeconomicfactorsbasedonwaveletanalysisacasestudyoftheblacksoilregionofnortheastchina
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The Interaction Relationship between Land Use Patterns and Socioeconomic Factors Based on Wavelet Analysis: A Case Study of the Black Soil Region of Northeast China

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