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Special Issue "Celebrating the 130th Anniversary of Wuhan University on Land Science"

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A special issue of Land (ISSN 2073-445X).

Deadline for manuscript submissions: 31 December 2023 | Viewed by 2860

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Prof. Dr. Dianfeng Liu

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Guest Editor

School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China
Interests: sustainable utilization of land resources and ecological effect; spatial planning; geospatial modeling and applications using geographic information systems
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Prof. Dr. Jianhua He

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Guest Editor

School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China
Interests: spatial modeling; spatial planning; landscape design; landscape ecology
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Prof. Dr. Limin Jiao

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Guest Editor

College of Resources and Environment, Wuhan University, Wuhan, China
Interests: land use; spatial analysis; geographic information system; clustering; remote sensing; genetic algorithm; artificial neural networks; urbanism; cartography; land use planning

Prof. Dr. Xuesong Kong

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Guest Editor

School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China
Interests: rural settlements planning; land consolidation; land use; ecological effects
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Dr. Gang Xu

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Guest Editor

School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China
Interests: urban land use; urban expansion; urban sprawl; sustainable development goals (SDGs); remote sensing of night-time light
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Special Issue Information

Dear Colleagues,

Wuhan University (WHU) was founded on 29^th November 1893. The year 2023 marks the 130^th anniversary of the founding of Wuhan University. WHU is a comprehensive and key national university directly under the administration of the Ministry of Education of China. It is also one of the “211 Project” and “985 Project” universities, provided with full support with its construction and development from the central and local government of China. Wuhan University has built an elegant palatial architectural complex of primitive simplicity, perfectly blending the Eastern architectural style with that of the West, and it has since been honored as the “Most Beautiful University in China”. Wuhan University celebrates a glorious, innovative tradition and enjoys a very high level of academic prestige. It has 34 schools in 6 faculties and 3 A-Level-Grade-III-affiliated hospitals, covering 12 areas. The prominence of education has led to Wuhan University achieving a world-renowned reputation, leading to booming international exchange and cooperation in recent years.

Wuhan University is one of the first universities in China to establish a major degree in land resources management. A master’s program was approved in 1997, followed by a doctoral program in 2003, and the university was recognized as the founding site of the national first-class undergraduate major in 2019. After nearly 30 years of development, it has built a multi-level talent training system, including bachelor's, master's, and doctoral and postdoctoral fellows, and constitutes an important training base for senior talents in land management in China. In 2008 and 2013, land management was selected as a key discipline in Hubei Province, and in 2016, it was rated as a Class A discipline in the fourth round of discipline evaluation by the Ministry of Education. In 2021, it ranked 2nd in the best Chinese Majors Ranking.

To celebrate the 130th anniversary of WHU, Land is publishing this Special Issue, entitled “Celebrating the 130th Anniversary of Wuhan University in Land Science”. We welcome all scholars within the broad scope of land science to join us in contributing to this Special Issue! Potential topics include but are not limited to:

Land system science and social–ecological system research;
Land/land-use/land-cover change;
Sustainable land and natural resource governance;
UN Decade on Ecosystem Restoration (UN-DER);
Soil ecology and land degradation;
Soil carbon and nitrogen cycling;
Urban planning for carbon neutrality;
Biodiversity, wildlife, and nature conservation in urban ecosystems;
Urban green infrastructure and nature-based solutions;
Land–climate interactions;
Landscape ecology and biodiversity;
Geospatial information analysis and modeling in land science.

Prof. Dr. Dianfeng Liu
Prof. Dr. Jianhua He
Prof. Dr. Limin Jiao
Prof. Dr. Xuesong Kong
Dr. Gang Xu
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.

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Research

Open AccessArticle

Optimal Modeling of Sustainable Land Use Planning under Uncertain at a Watershed Level: Interval Stochastic Fuzzy Linear Programming with Chance Constraints

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Land 2023, 12(5), 1099; https://doi.org/10.3390/land12051099 - 20 May 2023

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Abstract

In this paper, an uncertain interval stochastic fuzzy chance constraint land use optimal allocation method is proposed and applied to solve the problem of land use planning in river basins. The UISFCL-LUP method is an aggregation of interval parametric programming, fuzzy linear programming and chance constraint programming which can cope with uncertain problems such as interval value, fuzzy set and probability. In this paper, the uncertain mathematical method is explored and studied in the optimal allocation of land use in the next two planning periods of Nansihu Lake Basin in China. Moreover, it was proved that ISFCL-LUP can deal with the uncertainty of interval, membership function and probability representation and can also be used to solve the land use planning and land use strategy analysis under uncertain conditions. On the basis of model calculations, we obtained the optimal allocation results for six types of land use in four regions over two planning periods based on different environmental constraints. The results show that the optimized λ value (that is, the degree of satisfaction with all the model conditions) is in the range of [0.54, 0.79] and the corresponding system benefits are between [18.4, 20.4] × 1012 RMB and [96.7, 109.3] × 1012 RMB. The results indicate that land managers can make judgments based on the different socio-economic development needs of different regions and determine strategic land use allocation plans under uncertain conditions. At the same time, the model obtained interval solutions under different system satisfaction and constraint violation probabilities, which helps land managers to analyze the importance of land system optimization and sustainable development more deeply. Full article

(This article belongs to the Special Issue Celebrating the 130th Anniversary of Wuhan University on Land Science)

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Open AccessArticle

Spatial Optimization of Park Green Spaces by an Improved Two-Step Optimization Model from the Perspective of Maximizing Accessibility Equity

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Land 2023, 12(5), 948; https://doi.org/10.3390/land12050948 - 24 Apr 2023

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Abstract

As a type of public land, park green spaces (PGSs) carry the daily recreation and social communication of urban residents, and the inequity of their space accessibility has been widely confirmed. However, the optimized suggestions based on evaluations of accessibility and equity in previous studies cannot guide actual planning effectively because the reasonable locations and scales of construction of PGSs were difficult to accurately identify. This study first constructed two equity objective functions: the minimum standard deviation (SD) and the minimum Gini coefficient (GC) in accessibility; then an improved two-step optimization method considering location-allocation was adopted to maximal accessibility equity (MAE) for optimizing the spatial layout of PGSs and doing comparisons of these two objectives for further analysis. The results showed that the improved method based on covering the accessibility blind area and preserving the existing PGSs could optimize the location selection and rationally determine the area. The two objective functions were both effective for optimization, but the GC minimization is more advantageous than the SD for achieving the MAE. The accessibility value increased significantly in a higher proportion of regions, and the overall accessibility median increased by 0.0445. It is worth mentioning that the MAE optimization would lead to a new imbalance between supply and demand in some regions. This indicated that the strictly restricted area standard may lead to the oversupply of PGSs in some areas, while the improvement of equity might not mean the improvement of accessibility. The proposed optimization framework could achieve the optimal layout of PGSs on the goal of MAE. Our findings also could provide inspiration for the equity allocation of other types of public facility lands and support decision-making for government departments regarding management and planning. Full article

(This article belongs to the Special Issue Celebrating the 130th Anniversary of Wuhan University on Land Science)

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Open AccessArticle

The Effect of Urban Form on Urban Shrinkage—A Study of 293 Chinese Cities Using Geodetector

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Land 2023, 12(4), 799; https://doi.org/10.3390/land12040799 - 31 Mar 2023

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Abstract

Chinese cities are experiencing urban shrinkage due to demographic, environmental, economic, and political changes. However, urban form is another reason for urban shrinkage. This study first identified the shrinking of 293 cities in China based on the values of the change in brightness extracted from multi-year nighttime light data. Next, the characteristics of construction land morphology from 2019 were analyzed using landscape pattern analysis. Finally, the impact of urban form on urban shrinkage was explored using Geodetector. The results show that: (1) In total, 293 cities experienced different degrees of shrinkage. Regions with severe shrinkage were concentrated in the underdeveloped provinces, and autonomous central and western regions of China; moreover, (2) All factors of urban form significantly affected urban shrinkage. The largest q-values were found in patch density (0.144) and urban area (0.133), indicating that the degree of construction land fragmentation and urban area scale affected urban shrinkage the most; and (3) The interaction effects of pairwise factors were mutually or nonlinearly enhanced. The influence of urban form and socio-economic factors was stronger than that of socio-economic factors alone. This shows that the coupling of urban form and socio-economic factors strengthens the impact of urban form on urban shrinkage. Full article

(This article belongs to the Special Issue Celebrating the 130th Anniversary of Wuhan University on Land Science)

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