Special Issue "Land Use Change and Anthropogenic Disturbances: Relationships, Management, and Policies"

A special issue of Land (ISSN 2073-445X). This special issue belongs to the section "Land, Biodiversity, and Human Wellbeing".

Deadline for manuscript submissions: 30 September 2023 | Viewed by 3305

Special Issue Editors

School of Land Science and Technology, China University of Geosciences (Beijing), Beijing 100083, China
Interests: land use and sustainable development; land economy and real estate valuation; landscape ecology and low-carbon utilization; urban management and land use allocation
Special Issues, Collections and Topics in MDPI journals
School of Public Administration, China University of Geosciences (Wuhan), Wuhan 430074, China
Interests: rural/urban land use; interaction between land use and urbanization; influencing mechanism of land use change; spatial, non-spatial statistical methods; machine learning techniques
Special Issues, Collections and Topics in MDPI journals
Department of Agricultural Economics, Sociology, and Education, The Pennsylvania State University, University Park, PA 16802, USA
Interests: environmental demography; socio-environmental systems; population-infrastructure dynamics; computational and spatial analysis
Special Issues, Collections and Topics in MDPI journals
School of Public Administration, Sichuan University, Chengdu 610065, China
Interests: land use change; sustainable land uses; anthropogenic disturbances in land use; landscape ecology
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Since the last Special Issue "Land Use Change and Anthropogenic Disturbances: Relationships, Interactions, and Management" was launched, it has received active attention from many of our colleagues. Researchers have focused extensively on land use in numerous fields, ranging from physical geography to regional economics, land use management, sociology, planning, and others. A relevant umbrella theme is the relationship between land use change and anthropogenic disturbance. Land use change is related to biodiversity, ecosystem services, human livelihoods, and wellbeing. Thus, it is essential to discuss the entire process of land use change from the perspective of anthropogenic disturbance and further uncover the most effective path for land use management. This is why we have instigated the 2nd Special Issue of “Land Use Change and Anthropogenic Disturbances: Relationships, Management, and Policies”.

The new Special Issue still aims to provide a collection of papers that critically evaluate the links between land use and anthropogenic disturbance and draw further attentions to land use management and policies. Examples include but are not limited to the mechanism of land use change, land use impacts on community health and wellbeing, and anthropogenic disturbance on land use. We welcome manuscripts from the natural and social science disciplines using any methods (quantitative, qualitative, GIS, remote sensing, or experimental).

Papers may address such topics as but are not limited to:

  • Land cover/use change simulation and prediction;
  • Relationships between land use and ecosystem services;
  • Land use and carbon emissions;
  • Sustainable land management approach;
  • The role that anthropogenic disturbance plays in land use change;
  • Land use and land cover change mapping;
  • Land resource management;
  • Land use policy.

Prof. Dr. Jianjun Zhang
Prof. Dr. Feng Xu
Prof. Dr. Guangqing Chi
Dr. Yongheng Rao
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Land is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • land use change
  • human behavior
  • rural/urban land use
  • land use policy
  • human–nature conflicts
  • sustainable development
  • environmental impacts
  • spatial planning

Published Papers (5 papers)

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Research

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Article
Examining the Impact of China’s Poverty Alleviation on Nighttime Lighting in 831 State-Level Impoverished Counties
Land 2023, 12(6), 1128; https://doi.org/10.3390/land12061128 - 25 May 2023
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Abstract
China’s poverty alleviation projects have made significant contributions to global poverty eradication. This study investigates the impact of China’s poverty alleviation projects on nighttime lighting in 831 state-level impoverished counties using the “NPP-VIIRS-like” dataset and discusses the difference of land use change under [...] Read more.
China’s poverty alleviation projects have made significant contributions to global poverty eradication. This study investigates the impact of China’s poverty alleviation projects on nighttime lighting in 831 state-level impoverished counties using the “NPP-VIIRS-like” dataset and discusses the difference of land use change under different nighttime light clusters in order to provide reference for future policy formulation and implementation. Our results show that the growth of total intensity of nighttime lighting (GRTNL) and the year-on-year growth rate of total intensity of nighttime lighting (YGRTNL) in China’s impoverished counties are 103.74% and 9.69% from 2013 to 2021, respectively, which are both higher than the average levels of all counties (67.16%, 6.77%) and non-poor counties (64.68%, 6.56%) in China during the same period. Additionally, we discovered that impoverished counties that lifted out of poverty earlier had significantly higher nighttime lighting intensity than those later. Regional analysis reveals that the growth of nighttime lighting intensity shows a trend of decreasing from the central (1550.89 nW·cm−2·sr−1) to the eastern (924.57), western (762.57), and northeastern regions (588.07), while the growth rate decreases from western regions (282.46%) to the eastern (189.13%), central (178.56%), and northeastern (108.07%). We also identified that Gini coefficient of nighttime lighting has a trend of “slow and short-term rise-rapid and continuous decline”. Moreover, nighttime lighting growth had similar trends with land use change, especially construction land. Overall, our study provides novel insights into the relationship between poverty alleviation effects and nighttime lighting in China’s impoverished counties, which could inform future policy-making and research in this area. Full article
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Article
Assessment and Prediction of Landscape Ecological Risk from Land Use Change in Xinjiang, China
Land 2023, 12(4), 895; https://doi.org/10.3390/land12040895 - 16 Apr 2023
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Abstract
Land use change has significant impacts on the regional and global environment; thus, in-depth research on the associated ecological risks is necessary for promoting ecological restoration and sustainable development. Xinjiang, China, is characterized by a fragile ecological environment, and this study aimed to [...] Read more.
Land use change has significant impacts on the regional and global environment; thus, in-depth research on the associated ecological risks is necessary for promoting ecological restoration and sustainable development. Xinjiang, China, is characterized by a fragile ecological environment, and this study aimed to predict the land use change in the region in 2030 under different scenarios, including natural development, ecological conservation, and urban development, by using the PLUS model based on land use data from 2000, 2010, and 2020. Based on the landscape structure of regional ecosystems, we developed a comprehensive ecological risk assessment framework by utilizing a combination of landscape disturbance index, vulnerability index, and loss index. This framework allowed us to evaluate the spatiotemporal patterns and variations of landscape ecological risks under different scenarios in 2030. The study results indicate the following: (1) During the period from 2000 to 2020, the primary landscape type in Xinjiang was unused land. However, significant changes were observed in the area of cultivated land, mainly due to the conversion of grassland and construction land. The expansion of construction land during the urbanization process resulted in a decline in ecological landscapes, such as grassland, thereby weakening the ecosystem’s stability. (2) Under different simulation scenarios, the urban development scenario primarily led to the conversion of unused land into construction land, which is beneficial for economic development. On the other hand, the ecological conservation scenario resulted in a modest increase in construction land and a transformation of unused land into forest and grassland, which aligns with the principles of sustainable development. (3) Different scenarios in 2030 result in varying degrees of changes in each landscape type in Xinjiang, with the spatial distribution characteristics of landscape ecological risks remaining similar to those observed in 2020. Notably, under the urban development scenario, the area of lowest and medium risk areas decreases significantly while the area of higher and highest risk areas increases substantially. Conversely, under the ecological conservation scenario, the area of the lowest risk areas experiences a more significant increase. (4) Overall, the spatial differences in the ecological risk of Xinjiang’s landscape are significant, with HH and LL clustering types predominating and presenting a polarization pattern. The distribution pattern is low in the north and high in the central and southern parts of the study area. Full article
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Article
Land Use and Ecosystem Services Evolution in Danjiangkou Reservoir Area, China: Implications for Sustainable Management of National Projects
Land 2023, 12(4), 788; https://doi.org/10.3390/land12040788 - 30 Mar 2023
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Abstract
The South-to-North Water Diversion Project (SNWDP) is one of the largest cross-basin and cross-region water transfer projects in the world. The Danjiangkou reservoir area, a haven of diverse species, serves as a core water source for the Central Line of the SNWDP. Yet, [...] Read more.
The South-to-North Water Diversion Project (SNWDP) is one of the largest cross-basin and cross-region water transfer projects in the world. The Danjiangkou reservoir area, a haven of diverse species, serves as a core water source for the Central Line of the SNWDP. Yet, less research has been conducted on changes in land use and ecosystem services (ESs) in the Danjiangkou reservoir area in the context of the implementation of the SNWDP and other national projects. In this study, we aim to reveal evolutions of land uses and ESs in the Danjiangkou reservoir area and the response of ESs to natural and socio-economic factors. This is essential to enhance the regional sustainable management of the Danjiangkou reservoir area. Based on classified land use maps and the InVEST model, we first analyzed the land use changes and evaluated three typical types of ESs (i.e., water yield (WY), carbon storage (CS) and habitat quality (HQ)) in the Danjiangkou reservoir area during 2000 to 2018. Then, we detected the spatial clustering characteristics and tradeoffs and synergistic relationships of multiple ESs through hot spot analysis and correlation analysis. Finally, we adopt the geographical detector model (GDM) to identify key driving factors of ESs changes. The results show that: (1) During 2000–2018, the area of arable land and woodland decreased by 1.65% and 0.8%, respectively, while the proportion of construction land and water area increased by 1.31% and 1.39%, respectively. (2) The greatest decrease was in WY, decreasing by 59%, while the change in HQ was relatively stable, but showed spatial heterogeneity. (3) The northern, southern and western districts of the reservoir area showed mainly synergies among multiple ESs, while other regions showed mainly trade-offs. (4) Road network density, proportion of construction land and normalized difference vegetation index are the leading factors for ESs variations. These findings can provide reference for formulating more reasonable ecological protection strategies, so as to realize the sustainable management of SNWDP and its headwaters region. Full article
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Article
From Wooded Savannah to Farmland and Settlement: Population Growth, Drought, Energy Needs and Cotton Price Incentives Driving Changes in Wacoro, Mali
Land 2022, 11(12), 2117; https://doi.org/10.3390/land11122117 - 24 Nov 2022
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Abstract
Land includes vegetation and water bodies and provides the basis for human livelihoods through primary production, food and freshwater supply, and multiple other ecosystem services. The last three decades have recorded frequent drought events as well as rapid population growth, which has often [...] Read more.
Land includes vegetation and water bodies and provides the basis for human livelihoods through primary production, food and freshwater supply, and multiple other ecosystem services. The last three decades have recorded frequent drought events as well as rapid population growth, which has often resulted in adverse land use and land cover change (LULCC) in the Sahel of Sub-Saharan Africa. In order to propose sustainable land management strategies, it is a prerequisite to investigate the rate of LULCC and its driving factors in specific locations. This study investigated the case of Wacoro municipality in Mali using a combined approach of remote sensing, Geographic Information Systems, and focus group discussions. Satellite images and local people’s perceptions on LULCC and drivers were collected and analyzed for the years 1990, 2000, 2010, and 2020. We found that the study area faced a rapid decrease in wooded savannah that was degraded and converted to shrub savannah and later to farmland and settlement. Changes were directly or indirectly related to the rapid population growth, high cotton price (which encouraged cropland expansion), drought, firewood extraction, and charcoal production, which was exacerbated by poverty. We suggest promoting integrated land management strategies that consider current and future livelihood needs and preserve the environment for the benefits of future generations. New agricultural policies, such as cotton price incentives, should always be accompanied by an assessment of their potential environmental impacts and design of adequate mitigation measures. Full article
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Review

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Review
Review of Land Use Change Detection—A Method Combining Machine Learning and Bibliometric Analysis
Land 2023, 12(5), 1050; https://doi.org/10.3390/land12051050 - 11 May 2023
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Abstract
Land use change detection (LUCD) is a critical technology with applications in various fields, including forest disturbance, cropland changes, and urban expansion. However, the current review articles on LUCD tend to be limited in scope, rendering a comprehensive review challenging due to the [...] Read more.
Land use change detection (LUCD) is a critical technology with applications in various fields, including forest disturbance, cropland changes, and urban expansion. However, the current review articles on LUCD tend to be limited in scope, rendering a comprehensive review challenging due to the vast number of publications. This paper systematically reviewed 3512 articles retrieved from the Web of Science Core database between 1985 and 2022, utilizing a combination of bibliometric analysis and machine learning methods with LUCD as the main focus. The results indicated an exponential increase in the number of LUCD studies, indicating continued growth in this research field. Commonly used methods include classification-based, threshold-based, model-based, and deep learning-based change detection, with research themes encompassing forest logging and vegetation succession, urban landscape dynamics, and biodiversity conservation and management. To build an intelligent change detection system, researchers need to develop a flexible framework that integrates data preprocessing, feature extraction, land use type interpretation, and accuracy evaluation, given the continuous evolution and application of remote sensing data, deep learning, big data, and artificial intelligence. Full article
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Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Title: Key Drivers for Land Use Changes in Gargano Area (South Italy) and Their Possible Socio-ecological Implications
Authors: Antonio Lopolito; Pasquale Balena; Pasquale Pazienza; Caterina De Lucia; Nazgul Esengulova
Affiliation: 1. Università degli Studi di Foggia, Foggia, Italy 2. Politecnico di Bari, Bari, Italy

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