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Land
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Land Resource Assessment
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Land Resource Assessment

A special issue of Land (ISSN 2073-445X). This special issue belongs to the section "Land Environmental and Policy Impact Assessment".

Deadline for manuscript submissions: 7 February 2025 | Viewed by 6108

Special Issue Editors

Dr. Weiguo Fan

E-Mail Website
Guest Editor
Department of Economics and Management, North China Electric Power University, Baoding 071003, China
Interests: sustainable utilization of resource; land resources capitalization; resources economy
Dr. Xuechao Wang

E-Mail Website
Guest Editor
Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Interests: LUCC; regional sustainability; low-carbon emissions
Special Issues, Collections and Topics in MDPI journals
Dr. Ranjay K. Singh

E-Mail Website
Guest Editor
ICAR-Central Soil Salinity Research Institute, Karnal 132001, Haryana, India
Interests: natural resource management; performance measurement & management; biodiversity; conservation; forest management; conservation biology; sustainability; sustainable development; natural resources conservation; society and environment

Special Issue Information

Dear Colleagues,

As an important natural resource, land resource integrates natural and human elements, and is the core of production, life, and ecological activities. Land resource is non-renewable and scarce, which determines that land resource assessment has a far-reaching impact on high-quality development. From an international perspective, the Future Earth program integrates research projects such as the global land program and ecosystem services, making land science a key component of the Future Earth program, reflecting the close relationship between human and natural elements. Land resource assessment covers land use change, land use efficiency estimation, functional difference, land carrying capacity research, complex human–land interaction, and paying attention to the production–life–ecological dynamic mechanism. It is of great significance to carry out land resource assessment to reveal the complex mechanism of human–land coupling in the process of land resource protection, ensure the ecological security of land, and promote the sustainable use of land resource.

By designing this Special Issue, we aim to achieve better sustainable protection of land resource, improve the framework of land resource assessment, and achieve high-quality land production. In this regard, we welcome original and review articles on topics such as land resource efficiency research for high-quality development, the whole process of land resource research and future scenario simulation based on Energy System Language, LCA and energy, land resource capitalization, urban and rural land resource functional differences evaluation, land transfer analysis, land resource ecological security, and land carrying capacity evaluation.

Dr. Weiguo Fan
Dr. Xue-Chao Wang
Dr. Ranjay K. Singh
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 2600 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 resource efficiency
  • functional differences evaluation
  • land resource capitalization
  • process evaluation and simulation
  • energy system language and LCA
  • typical model of land use
  • ecological security and carrying capacity

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Published Papers (4 papers)

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Research

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26 pages, 23573 KiB  
Article
Management on Transfer Pricing of Farmland Based on the Supply–Demand Mismatches for Multifunction: A Case Study from China
by Lijun Wu and Gaofeng Ren
Land 2024, 13(9), 1372; https://doi.org/10.3390/land13091372 - 27 Aug 2024
Viewed by 640
Abstract
Realizing the multifunctional value of farmland is essential for regulating the pricing of farmland transfers and stabilizing the rural land market. However, in China, the mismatch between supply and demand leads to improper resource allocation, weakens the explicit value of farmland, and causes [...] Read more.
Realizing the multifunctional value of farmland is essential for regulating the pricing of farmland transfers and stabilizing the rural land market. However, in China, the mismatch between supply and demand leads to improper resource allocation, weakens the explicit value of farmland, and causes unreasonable transfer pricing mechanisms that threaten agricultural production and food security. This study develops an analytical framework to examine the relationship between farmland multifunction and transfer pricing from a supply–demand perspective. An evaluation index system is constructed, considering the physical, value, and material quantities. This study uses the matching index method and bivariate spatial autocorrelation to analyze the supply–demand match of farmland multifunction from 2014 to 2021 and its relationship with transfer prices. Additionally, management methods and strategies for dynamic zoning-based pricing under multifunctional matching trade-offs are proposed. The results show that: (1) There is significant heterogeneity in the supply and demand matching degree of different farmland functions in both space and time. The production and ecological functions of farmland are oversupplied, while the living functions are undersupplied. (2) Different spatial autocorrelation relationships exist between the degree of supply and demand matching of farmland functions and farmland transfer prices. Specifically, the supply and demand matching degrees of the production and living functions show a significant negative spatial correlation with farmland transfer prices. In contrast, the ecological function shows a significant positive spatial correlation with farmland transfer prices, which are continuously strengthening over time. (3) Based on the supply and demand matching situation of different farmland functions and the spatial autocorrelation of farmland transfer prices, nine types of regions are delineated for farmland functions. Among them, the surplus-coordinated development areas have the most cities, accounting for about 40%, with a wide distribution range. This study proposes zoning-based pricing instruments and management strategies. This research provides valuable insights for developing countries seeking to alleviate conflicts in multifunctional land use, enhance the sustainable protection of land resources, and improve land resource assessment frameworks. Full article
(This article belongs to the Special Issue Land Resource Assessment)
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20 pages, 4014 KiB  
Article
Spatiotemporal Changes and Simulation Prediction of Ecological Security Pattern on the Qinghai–Tibet Plateau Based on Deep Learning
by Longqing Liu, Shidong Zhang, Wenshu Liu, Hongjiao Qu and Luo Guo
Land 2024, 13(7), 1073; https://doi.org/10.3390/land13071073 - 17 Jul 2024
Cited by 1 | Viewed by 764
Abstract
Over the past two decades, due to the combined effects of natural and human factors, the ecological environment and resources of the Qinghai–Tibet Plateau (QTP) have faced serious threats, profoundly impacting its ecosystem and the lives of its residents. Therefore, the establishment of [...] Read more.
Over the past two decades, due to the combined effects of natural and human factors, the ecological environment and resources of the Qinghai–Tibet Plateau (QTP) have faced serious threats, profoundly impacting its ecosystem and the lives of its residents. Therefore, the establishment of the ecological security pattern (ESP) is crucial to cope with climate change, maintain ecosystem function, and sustainable development. Based on the Pressure–State–Response (PSR) model, this study constructed an evaluation index system for the ecological security (ES) of the QTP, evaluated the ES of the QTP during 2000–2020, and predicted the ES of the QTP during 2025–2035 based on the deep learning model. Combined with the residents’ perception of ES, the ES of the QTP was evaluated comprehensively. The results showed that: (1) From 2000 to 2020, the ES value of the QTP continued to rise, the number of dangerous and sensitive counties decreased, and the number of other counties increased. The overall spatial distribution features higher values in the southeast and lower values in the northwest and central regions. (2) From 2000 to 2020, both hot spots and cold spots on the QTP decreased, with the hot spots mainly concentrated in the southeast of the QTP, represented by Yunnan Province, and the cold spots shifting from west to east, mainly concentrated in the central QTP, represented by Qinghai Province. (3) The Long Short-Term Memory (LSTM) model demonstrates high prediction accuracy. Based on the prediction of LSTM, the ES value of the QTP will continue to rise from 2025 to 2035, and the number of safe counties will reach the highest level in history. The spatial distribution is still higher in the southeast and lower in the northwest and central regions. (4) By analyzing residents’ perception of 25 potential factors that may affect the ES of the QTP, the results show that residents generally believe that these factors have an important impact on ES, and their evaluation is between “important” and “very important”. In addition, there is a significant correlation between these factors and the predicted values of ES. The results of the study will help to improve our understanding of the overall ecological environment of the QTP, provide accurate positioning and reasonable help for the government to formulate relevant protection strategies, and lay a methodological and practical foundation for the sustainable development of the QTP. Full article
(This article belongs to the Special Issue Land Resource Assessment)
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18 pages, 646 KiB  
Article
Influential Factors in the Evaluation of Agricultural Lands in the Huambo Province, Angola
by Ezequiel Lote and Fernando Oliveira Tavares
Land 2023, 12(10), 1823; https://doi.org/10.3390/land12101823 - 24 Sep 2023
Cited by 2 | Viewed by 1323
Abstract
The possession and appraisal of agricultural fields have significant economic and social impacts. The objective of this study is to examine the perception of farmers in the Huambo Province, Angola, regarding the characteristics that enhance and diminish the value of agricultural lands in [...] Read more.
The possession and appraisal of agricultural fields have significant economic and social impacts. The objective of this study is to examine the perception of farmers in the Huambo Province, Angola, regarding the characteristics that enhance and diminish the value of agricultural lands in the process of buying and selling. The utilized quantitative methodology is based on a questionnaire administered to farmers in the Huambo Province. The sample size consists of 644 respondents. The results allow us to conclude that the income generated from farming activities and the presence of infrastructure greatly facilitate the appraisal of agricultural fields. Conversely, the absence of legal ownership documentation and conflicts related to land ownership reduce the value of the fields. The exploratory factor analysis identified seven determinant factors, responsible for explaining 61.334% of the total variance, in the appraisal of agricultural fields: inherent location characteristics of the property, market dynamics related to agricultural fields, the availability of water on the property, proximity to tourist destinations, physical conditions of the fields, the positive externalities generated, and the advantages offered by the fields. We believe that this study will assist appraisers, farmers, and public administration in understanding the factors that positively and negatively impact the appraisal of agricultural fields. Full article
(This article belongs to the Special Issue Land Resource Assessment)
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Review

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28 pages, 2504 KiB  
Review
A Review of Research on the Value Evaluation of Urban Underground Space
by Yuting Wu, Hongyan Wen and Meichen Fu
Land 2024, 13(4), 474; https://doi.org/10.3390/land13040474 - 7 Apr 2024
Cited by 1 | Viewed by 2148
Abstract
The contradiction between urban construction and sustainable development has led to an increasing demand for urban underground space (UUS). The value evaluation of urban underground space (UUSVE) is of great significance in promoting the rational development of UUS. Currently, no study has reviewed [...] Read more.
The contradiction between urban construction and sustainable development has led to an increasing demand for urban underground space (UUS). The value evaluation of urban underground space (UUSVE) is of great significance in promoting the rational development of UUS. Currently, no study has reviewed the literature on UUSVE. This paper provides a preliminary review of the legal basis and element composition of UUS, and the themes, evaluation objects, and evaluation methods of UUSVE, attempting to clarify the current status of UUSVE and analyze its future development trends. Finally, by summarizing the legal basis, element composition, research status and trends of UUSVE, three suggestions to strengthen UUSVE are proposed: (1) to strengthen the research on the shortcomings of UUSVE methods; (2) to build an evaluation index library and case library; and (3) to emphasize interdisciplinary collaboration, with a particular focus on the application research of machine learning. Full article
(This article belongs to the Special Issue Land Resource Assessment)
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