Submit to Land Review for Land Propose a Special Issue

Journal Menu

Journal Browser

Optimizing the Production-Living-Ecological (PLE) Space for Achieving SDGs at Regional and Global Scales

Special Issue Editors
Special Issue Information
Keywords
Related Special Issue
Published Papers

A special issue of Land (ISSN 2073-445X). This special issue belongs to the section "Land Socio-Economic and Political Issues".

Deadline for manuscript submissions: closed (30 November 2023) | Viewed by 14534

Share This Special Issue

Special Issue Editors

Prof. Dr. Dong Jiang

E-Mail Website
Guest Editor

Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
Interests: overall optimization for the Production–living–ecological (PLE) space; remote sensing applications for resources and environment; spatio-temporal simulation for the potential and benefit of renewable energy resources
Special Issues, Collections and Topics in MDPI journals

Prof. Dr. Lei Liu

E-Mail Website
Guest Editor

School of Earth Science and Resources, Chang'an University, Xi'an 710054, China
Interests: hyperspectral remote sensing; water quality monitoring; soil heavy metals estimation; land use/land cover mapping

Dr. Gang Lin

E-Mail Website
Guest Editor

Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
Interests: land use classification and evolvement based on the Production–living–ecological (PLE) Perspective; resource utilization and its environmental impact; water-energy nexus
Special Issues, Collections and Topics in MDPI journals

Dr. Lamin Mansaray

E-Mail Website
Guest Editor

School of Environmental Sciences, Njala University, Njala, Sierra Leone
Interests: land-use/land-cover change; biodiversity conservation; land water management; climate change adaptation; ecosystems services

Special Issue Information

Dear Colleagues,

Sustainable development is now a global consensus. On September 15, 2015, the United Nations Sustainable Development Summit held in New York formulated 17 categories of global development goals for 2015–2030. To achieve SDGs, social, economic, and environmental issues must be addressed in an integrated manner. A scientiﬁc challenge that obviously exists in sustainable issues is trade-offs and compensation. The achievement of one SDG is often at the cost of sacriﬁcing or assisting another, leading to new development problems. There are matches between 17 SDGS development goals from the perspective of economy, society, environment with production space, living space, ecological space, respectively. Based on land space, it is convenient for experts in geography, resource science, ecology, and other fields to carry out comprehensive research towards sustainable development at different temporal and spatial scales.

This Special Issue focuses on the latest theories, methods and research results in the fields of multi-approach utilization of land resources, multi-system coupling of energy–water–food, conflict identification and collaboration of “production-living-ecological “ system, multi-index coupling of SDGs, as well as typical cases at regional, national, and global scales.

Prof. Dr. Dong Jiang
Prof. Dr. Lei Liu
Dr. Gang Lin
Dr. Lamin R. Mansaray
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
land reclamation engineering
production-living-ecological space
production-living-ecological functions
landscape multifunctionality
production-living-ecological space conflicts
sustainable development goals, SDGs
space optimization

Related Special Issue

Land Use Conflict Detection and Multi-Objective Optimization Based on the Productivity, Sustainability, and Livability Perspective in Land (11 articles)

Published Papers (8 papers)

Download All Papers

Order results

Result details

Show export options Show export options

Select all

Export citation of selected articles as:

Research

28 pages, 12557 KiB

Open AccessArticle

Study into the Evolution of Spatiotemporal Characteristics and Driving Mechanisms of Production–Living–Ecological Spaces on the Indochina Peninsula

by Shuang Lu, Zibo Zhou, Mingyang Houding, Liu Yang, Qiang Gao, Chenglong Cao, Xiang Li and Ziqiang Bu

Land 2023, 12(9), 1767; https://doi.org/10.3390/land12091767 - 12 Sep 2023

Cited by 1 | Viewed by 1051

Abstract

Influenced by historical background, regional economic development, and the frequent occurrence of armed conflict, the human–earth relationship in the Central and Southern Peninsula, which is located in a “fragmented zone”, is characteristic of the region. The Indochina Peninsula has now become an area of interest for the study of spatial changes in production–living–ecological spaces (PLES). Taking the Indochina Peninsula as the study area, this paper explores the evolution of the spatiotemporal patterns of PLES and its driving mechanism in the Indochina Peninsula, from 2010 to 2020, based on a grid scale. Methods such as the land-use transition matrix, land-use dynamics index, and geographically and temporally weighted regression (GTWR) were used in our model, which will provide the basic data and reference for sustainable development planning across the Indochina Peninsula. Our results show that, from 2010 to 2020, ecological space dominated the PLES pattern on the Indochina Peninsula, but its area gradually decreased, accompanied by a sharp increase in the areas of productive and living spaces. The area of PLES interconversion on the Indochina Peninsula in 2010–2020 was 212,818.70 km², and the intertransfer of production and ecological spaces was distributed in a networklike manner throughout the Indochina Peninsula, while the transfer of living space was distributed in a pointlike manner. The migration path of the center of gravity of PLES on the Indochina Peninsula demonstrated a significant directional difference, and the direction and extent of the standard deviation ellipse distribution of the ecological space was similar to that of the production space. The PLES’s pattern evolution was affected by the degree of multiple factors, with a significant spatial and temporal heterogeneity. The positive and negative feedback effects of the factors were distributed in different areas and in different transfer directions. Full article

(This article belongs to the Special Issue Optimizing the Production-Living-Ecological (PLE) Space for Achieving SDGs at Regional and Global Scales)

► Show Figures

Figure 1

19 pages, 1602 KiB

Open AccessArticle

Coordinated Development and Sustainability of the Agriculture, Climate and Society System in China: Based on the PLE Analysis Framework

by Xuelan Li, Jiyu Jiang and Javier Cifuentes-Faura

Land 2023, 12(3), 617; https://doi.org/10.3390/land12030617 - 05 Mar 2023

Cited by 1 | Viewed by 1423

Abstract

Nowadays, frequent climate extremes exert a serious impact on agricultural production and social development, which is seldom studied in the previous literature. Production–Living–Ecological (PLE) is a useful analysis framework, and China is a suitable model for such study. This paper takes the Huai River Eco-Economic Belt (HREB), an important agricultural zone in China, to study the relationship among agricultural production (P), society (L), and climate change (E), which is referred to as APLE. This paper constructs a coupled coordination evaluation index system for the APLE system and uses coupling coordination degree models and geographic detector to study the spatial and temporal evolution of the coordinated development of 34 counties (cities) in the HREB from 2009 to 2018. The results show the following: (1) The development of the agricultural subsystem and the social subsystem formed a “scissors difference” from 2009 to 2014, and the three subsystems showed a slight upward trend during 2014–2018. (2) The coupling and coordinated development of the APLE system in the HREB was generally stable, and the coupling coordination degree was improved from low-grade and slightly uncoordinated to barely and primarily coordinated. Furthermore, the spatial differentiation of the coupling coordination degree shows a clear pattern of being high in the southeast and low in the northwest. (3) The main influencing factors are the drought and flood protection rate, the effective irrigation rate, the per capita electricity consumption in agriculture, the number of beds in healthcare facilities per 10,000 people, the per capita disposable income of urban residents, the annual average temperature, and the annual precipitation. (4) The spatial–temporal evolution of the coupling and coordinated development of the APLE system is the result of the comprehensive effect of internal driving forces such as food security, the consumption level of rural residents, and the development level of urbanization construction, and external driving forces such as government public welfare and natural conditions. Full article

(This article belongs to the Special Issue Optimizing the Production-Living-Ecological (PLE) Space for Achieving SDGs at Regional and Global Scales)

► Show Figures

Figure 1

12 pages, 1597 KiB

Open AccessArticle

Quantifying Landscape and Social Amenities as Ecosystem Services in Rapidly Changing Peri-Urban Landscape

by Asad Aziz, Muhammad Mushahid Anwar, Muhammad Majeed, Sammer Fatima, Syed Shajee Mehdi, Wali Muhammad Mangrio, Amine Elbouzidi, Muhammad Abdullah, Shadab Shaukat, Nafeesa Zahid, Eman A. Mahmoud, Ryan Casini, Kowiyou Yessoufou and Hosam O. Elansary

Land 2023, 12(2), 477; https://doi.org/10.3390/land12020477 - 15 Feb 2023

Cited by 6 | Viewed by 2068

Abstract

The peri-urban landscape is a highly dynamic area between the urban zone and the rural belt. The heterogeneous natural landscape around the cities provides several ecosystem services, but progressive urbanization affects it and results in the loss of biodiversity, greenery, and related benefits. This study attempts to quantify the social amenities associated with ecosystem services in the peri-urban landscape of the Gujrat district, in Pakistan, by using the Contingent Valuation Method (CVM) The results show that the peri-urban landscape provides amenities for the well-being of the community. Such amenities and the related recreational opportunities represent ecosystem services that are highly regarded by the residents, so much so that a significant willingness to pay can be associated with them. Therefore, this study highlights that natural areas and green areas’ landscapes must be taken into account when facing the social and economic necessity to provide for city expansion in developing countries, especially when aiming to achieve development in alignment with the Sustainable Development Goals. The ecosystem services and their evaluation are confirmed as indispensable tools for conservation and fortification of landscape development. Full article

(This article belongs to the Special Issue Optimizing the Production-Living-Ecological (PLE) Space for Achieving SDGs at Regional and Global Scales)

► Show Figures

Figure 1

19 pages, 3478 KiB

Open AccessArticle

A GIS-Based Typological Interpretation of Cultivated Land Loss: A Spatiotemporal Analysis of Tai’an Prefecture in the North China Plain

by Daquan Huang, Yu Chen, Tao Liu and Ming Liu

Land 2023, 12(2), 372; https://doi.org/10.3390/land12020372 - 30 Jan 2023

Cited by 1 | Viewed by 1349

Abstract

Loss of cultivated land has become a global issue that is especially critical in populous and rapidly urbanizing countries. However, knowledge in this field in general and its spatiality in particular have long been restrained in developing countries for the lack of accurate and reliable data. This study addresses this issue from a typological perspective by distinguishing the patterns and determinants of the conversion of cultivated land to nonagricultural use, nongrain use, and ecological land use. By using land use survey data from 2009 to 2019, and taking villages as the research units, the cultivated land loss in an ordinary prefecture, Tai’an, in the North China Plain was investigated from its temporal–spatial patterns, destination uses, and various driving factors. GIS methods such as spatial visualization, overlay analysis, and hotspot analysis were used to depict the geography of cultivated land loss in total and by cause. Multiple linear regression models were then developed to explore the roles of natural, locational, economic, social, and policy factors in predicting the overall and three types of cultivated land loss. The results show that (1) the cultivated land area in Tai’an Prefecture decreased by 1338.3 km² over the decade, which was 32.4% of that in 2009. Ecological use, rather than the widely blamed urban expansion, was the dominant reason, accounting for 55.6% of the total loss of cultivated land. (2) The hotspot areas of cultivated land loss were mainly distributed in the northeastern mountainous area and villages around cities and county seats in the southwest. The hotspot areas of nongrain and ecological conversion were mainly located around the central city, whereas those of nonagricultural conversion were the most extensive around county centers. (3) The factors were found to have heterogeneous effects on the three types of cultivated land loss. For example, land transfer is conducive to large-scale farming and is thus associated with a lower probability of nonagricultural conversion of cultivated land. However, it often facilitates ecological conversion of cultivated land. (4) The basic farmland protection policy was proven to be effective in preventing all three types of cultivated land loss. The above results indicate the great heterogeneity among the three types of cultivated land loss in their geography and determinants, demonstrating the necessity and significance of the typological perspective adopted to interpreting cultivated land loss in urbanizing and transitional societies. To some extent, only by reasonably distinguishing, spatially analyzing, and fully understanding the different types, various causes, and internal structure of cultivated land loss can we formulate more targeted and effective policies of cultivated land protection. Full article

(This article belongs to the Special Issue Optimizing the Production-Living-Ecological (PLE) Space for Achieving SDGs at Regional and Global Scales)

► Show Figures

Figure 1

16 pages, 676 KiB

Open AccessEditor’s ChoiceArticle

The Contribution of Land Registration and Certification Program to Implement SDGs: The Case of the Amhara Region, Ethiopia

by Ayelech Kidie Mengesha, Reinfried Mansberger, Doris Damyanovic, Sayeh Kassaw Agegnehu and Gernot Stoeglehner

Land 2023, 12(1), 93; https://doi.org/10.3390/land12010093 - 27 Dec 2022

Cited by 3 | Viewed by 2603

Abstract

Land is the key asset in the agricultural sector and hence land policy is one of the key elements that determine whether SDGs are achieved in developing counties or not. In developing countries, land titling programs have been seen as a strategy for addressing SDGs. Even though the government of Ethiopia launched the rural land registration and certification program (LRCP) to secure the land rights of rural households in 1998, currently, there are limited empirical studies to examine the contribution of LRCP in addressing sustainable development goals (SDGs). This study is employed to fill this knowledge gap by assessing how LRCP supports the achievement of the UN SDGs. The research data were collected through key informant interviews, in-depth interviews, focus group discussions, and reviewing published and unpublished documents. Content analysis, narrative analysis, and SWOT analysis were applied to examine the research data. The study confirms that LRCP improves tenure security, which greatly contributes to the achievements of SDGs, such as SDG 1 (end poverty), SDG 2 (end hunger), SDG 5 (gender equality), and SDG 15 (life on land). The tenure security of rural societies is a key pathway for the achievement of SDGs in Ethiopia since their livelihood mainly depends on agriculture. Therefore, developing countries should focus on land rights to improve the livelihoods of rural societies in particular and to enable sustainable development in general. Full article

(This article belongs to the Special Issue Optimizing the Production-Living-Ecological (PLE) Space for Achieving SDGs at Regional and Global Scales)

► Show Figures

Figure 1

17 pages, 2979 KiB

Open AccessArticle

Identification and Classification of Urban PLES Spatial Functions Based on Multisource Data and Machine Learning

by Jingying Fu, Ziqiang Bu, Dong Jiang and Gang Lin

Land 2022, 11(10), 1824; https://doi.org/10.3390/land11101824 - 18 Oct 2022

Cited by 5 | Viewed by 1502

Abstract

Production space, living space, and ecological space (PLES) increasingly restrict and influence each other, and the urban PLES conflict significantly affects the sustainable development of a city. This study extracts multi-dimensional features from high-resolution remote sensing images, building vectors, points of interest (POI), and nighttime lighting data, and applies them to urban PLES feature recognition, dividing Ningbo into an agricultural production space, industrial and commercial production space, public living space, resident living space and ecological space. The specific research work was as follows: first, a convolutional neural network (CNN) was used to extract high-rise scene information from high-resolution remote sensing images; at the same time, through the geostatistical method, the building vector features, POI features, and night light features were extracted to express the economic and social characteristics of a city. Then, we used the nearest neighbor algorithm, decision-making tree algorithm, and random forest algorithm to train individual and combined features. Finally, random forest, which had the best training effect, was selected as the classifier in the fusion stage; as a result, the prediction accuracy rate reached 90.79%. The experimental results showed that the recognition model, based on multisource data and machine learning, had a good classification effect. Finally, we analyzed the current situation of the spatial distribution of PLES in Ningbo. Full article

(This article belongs to the Special Issue Optimizing the Production-Living-Ecological (PLE) Space for Achieving SDGs at Regional and Global Scales)

► Show Figures

Figure 1

19 pages, 10848 KiB

Open AccessArticle

Accounting for Carbon Sink and Its Dominant Influencing Factors in Chinese Ecological Space

by Gang Lin, Dong Jiang, Xiang Li and Jingying Fu

Land 2022, 11(10), 1822; https://doi.org/10.3390/land11101822 - 17 Oct 2022

Cited by 1 | Viewed by 1616

Abstract

Ecological space (ES), including forest ecological space (FES) and grassland ecological space (GES) in this study, is the land with natural attributes and the main functions of providing ecological services, which has a huge potential capacity for carbon sink (CS). The interannual fluctuation of the CS in ES is severe, which is affected by factors such as precipitation and temperature, but it is still controversial which is the dominant factor in affecting the fluctuation process of the CS in ES. To this end, the multi-source remote sensing monitoring data on the fine-grid scale were collected in this study, including the land use and land cover remote sensing monitoring data, the data products of moderate-resolution imaging spectroradiometer (including land surface water index, photosynthetically active radiation, enhanced vegetation index, gross primary productivity), and meteorological data (including precipitation and temperature). By coupling the vegetation photosynthesis model and soil respiration model, the CS in CES from 2010 to 2020 was calculated, and the interannual fluctuation trends and stability of CS in CES were analyzed. Furthermore, the correlation coefficient and partial correlation coefficient equation between the CS of CES with precipitation and temperature were constructed to explore the correlation between interannual fluctuation of CS in CES with meteorological factor, and to determine the dominant position of precipitation and temperature in affecting the fluctuation process of the CS in CES. The research results show that the annual average CS of per unit area in CES was 233.78 gC·m⁻²·a⁻¹, and the cumulative CS was 11.83 PgC. The GES and FES contributed 6.33 PgC and 5.49 PgC of CS, respectively. From 2010 to 2020, the CS of CES showed an upward trend and was generally in a relatively stable state (the mean value of the coefficient of variation was 0.6248). However, the year with severe fluctuation of was found in this study (from 2013 to 2015), the reason is that the precipitation was too low in 2014, which indicated that climate change, especially the change of precipitation, played a important role in the fluctuation of CS in CES. The results of correlation analysis confirmed the above analysis. The change of CS in CES is highly positively correlated with the change of precipitation (the correlation coefficient is 0.085), and weakly positively correlation with temperature (the correlation coefficient was 0.026). The precipitation is the dominant influencing factor, which has a positive effect on CS in CES. Within a climate environment dominated by precipitation, precipitation and temperature jointly affect the CS in CES. It should be noted that in some regions with variable climate, precipitation and temperature had relatively little impact on CS in CES. Their fluctuations may depend more on the ecosystem’s own ecological services’ regulation ability and their response degree to changes in atmospheric CO₂ concentration. Full article

(This article belongs to the Special Issue Optimizing the Production-Living-Ecological (PLE) Space for Achieving SDGs at Regional and Global Scales)

► Show Figures

Figure 1

15 pages, 3234 KiB

Open AccessArticle

Production–Living–Ecological Risk Assessment and Corresponding Strategies in China’s Provinces under Climate Change Scenario

by Wenjuan Hou, Shaohong Wu, Linsheng Yang, Yunhe Yin, Jiangbo Gao, Haoyu Deng, Maowei Wu, Xiaojie Li and Lulu Liu

Land 2022, 11(9), 1424; https://doi.org/10.3390/land11091424 - 29 Aug 2022

Cited by 3 | Viewed by 1284

Abstract

In the context of the increasing frequency of natural disasters caused by climate change in recent years, rational territorial spatial planning must pay attention to production–living–ecological (PLE) risks under climate change scenarios. In this study, a method synthesizing the Box–Cox transformation and area weighted averaging is established for characterizing the PLE risks in China’s provinces, which are divided into three zones to cope with PLE risks. Further, targeted strategies from the perspective of the disaster-induced factors and disaster-affected objects are explored for the regions within the different zones. The results show that the regions with a high production risk are mainly distributed in Guangdong, Henan, and Shandong, with an index between 0.80 and 1.00; the regions with a high living risk are concentrated in Jiangsu, Anhui, Guangdong, and Hainan, with an index exceeding 0.72; and the regions with a high ecological risk are concentrated in Guangxi, Ningxia, and Yunnan, with an index exceeding 0.50. The overall PLE risk is high along the southeastern coast, intermediate in central and western China, and low on the Tibetan Plateau. From the A to C zones, the number of risk types and intensity of risks requiring attention gradually decrease. For the category A zone, recommended measures include the construction of disaster risk monitoring and early warning systems for coastal cities and major grain-producing regions, the development of urban ecological protection zones, and the adjustment of economic and energy structures, etc. Production and living risks are central to the category B zone, while ecological and production risks are central to the category C zone. This study can provide theoretical support for China’s scientific development of land planning and the realization of a beautiful China. Full article

(This article belongs to the Special Issue Optimizing the Production-Living-Ecological (PLE) Space for Achieving SDGs at Regional and Global Scales)

► Show Figures

Journal Menu

Journal Browser

Optimizing the Production-Living-Ecological (PLE) Space for Achieving SDGs at Regional and Global Scales

Share This Special Issue

Special Issue Editors

Special Issue Information

Keywords

Related Special Issue

Published Papers (8 papers)

Research

Further Information

Guidelines

MDPI Initiatives

Follow MDPI