Driven by economic expansion, urbanization, and population growth, the world is witnessing an escalating demand for water, energy, land, and food, posing substantial threats to the sustainable development of societies and economies. Given the intricate interdependencies inherent within the water–energy–land–food (WELF) system, it is imperative to conduct comprehensive assessments of the coupling coordination and sustainable development of the WELF system over long time scales and diverse characteristic dimensions. This study selects Hebei province, China, as the research region, constructing a comprehensive indicator system spanning from 1980 to 2020 using three dimensions: reliability (Rel), robustness (Rob), and equilibrium (Equ). The degree of coupling coordination (DCC) and sustainable development index (SDI) were developed using the comprehensive evaluation index and coupling coordination degree model. Additionally, the obstacle degree model and gray relational degree model were employed to assess the indicators that hinder or promote the SDI. The results indicate that: (1) The DCC (range of 0–1, bigger the better) of the WELF system increased from 0.65 to 0.75 between 1980 and 1998, then fluctuated between 0.75 and 0.69, stabilizing at a moderate level of coordinated development after 2015. (2) For the WELF system in Hebei, as Rel increased, Rob decreased, and Equ increased; similarly, as Rob increased, Equ also increased. (3) The SDI (range of 0–1, bigger the better) rose from 0.45 in 1980, initially increased, then decreased, and eventually stabilized. After 2014, it experienced rapid growth, reaching 0.54 by 2020, indicating an improvement in sustainable development capability. (4) Indicators related to the Equ dimension and the land subsystem were more critical limiting factors for SDI development, while indicators related to the Rel dimension and the food subsystem were more significant contributors to SDI development. These findings offer a scientific foundation and practical insights for Hebei and comparable regions, aiding in the resolution of resource conflicts, optimization of resource allocation, and enhancement of regional sustainable development.
{"title":"Evaluation of the Coupling Coordination and Sustainable Development of Water–Energy–Land–Food System on a 40-Year Scale: A Case Study of Hebei, China","authors":"Huanyu Chang, Bing Zhang, Jingyan Han, Yong Zhao, Yongqiang Cao, Jiaqi Yao, Linrui Shi","doi":"10.3390/land13071089","DOIUrl":"https://doi.org/10.3390/land13071089","url":null,"abstract":"Driven by economic expansion, urbanization, and population growth, the world is witnessing an escalating demand for water, energy, land, and food, posing substantial threats to the sustainable development of societies and economies. Given the intricate interdependencies inherent within the water–energy–land–food (WELF) system, it is imperative to conduct comprehensive assessments of the coupling coordination and sustainable development of the WELF system over long time scales and diverse characteristic dimensions. This study selects Hebei province, China, as the research region, constructing a comprehensive indicator system spanning from 1980 to 2020 using three dimensions: reliability (Rel), robustness (Rob), and equilibrium (Equ). The degree of coupling coordination (DCC) and sustainable development index (SDI) were developed using the comprehensive evaluation index and coupling coordination degree model. Additionally, the obstacle degree model and gray relational degree model were employed to assess the indicators that hinder or promote the SDI. The results indicate that: (1) The DCC (range of 0–1, bigger the better) of the WELF system increased from 0.65 to 0.75 between 1980 and 1998, then fluctuated between 0.75 and 0.69, stabilizing at a moderate level of coordinated development after 2015. (2) For the WELF system in Hebei, as Rel increased, Rob decreased, and Equ increased; similarly, as Rob increased, Equ also increased. (3) The SDI (range of 0–1, bigger the better) rose from 0.45 in 1980, initially increased, then decreased, and eventually stabilized. After 2014, it experienced rapid growth, reaching 0.54 by 2020, indicating an improvement in sustainable development capability. (4) Indicators related to the Equ dimension and the land subsystem were more critical limiting factors for SDI development, while indicators related to the Rel dimension and the food subsystem were more significant contributors to SDI development. These findings offer a scientific foundation and practical insights for Hebei and comparable regions, aiding in the resolution of resource conflicts, optimization of resource allocation, and enhancement of regional sustainable development.","PeriodicalId":508186,"journal":{"name":"Land","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141823858","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Neighbourhood social cohesion has emerged as a prominent concern in urban governance worldwide. As the primary domain of residents’ daily activities, the community life circle contributes to neighbourly interaction and social cohesion. This study investigates the role of space use within the community life circle in promoting social cohesion in Chongqing, China. Through an in-depth activity diary survey and structural equation model analysis, we empirically examine the interplay between community space use, neighbourly interaction, and social cohesion. Our findings suggest that the 15 min community life circle plays a crucial role in residents’ daily lives, particularly among senior residents. However, the contribution of community space use to social cohesion is fully mediated by neighbourly interaction. Furthermore, not all patterns of community space use contribute to social cohesion equally; space use engaged with diverse companions on workdays significantly enhances neighbourly interaction and social cohesion. The study enriches the existing literature by deepening our understanding of the role of the community life circle in fostering socially cohesive and sustainable neighbourhoods.
{"title":"Community Life Circle, Neighbourly Interaction, and Social Cohesion: Does Community Space Use Foster Stronger Communities?","authors":"Min Jiang, Jiaqi Hu, Xiaofeng Gao","doi":"10.3390/land13071094","DOIUrl":"https://doi.org/10.3390/land13071094","url":null,"abstract":"Neighbourhood social cohesion has emerged as a prominent concern in urban governance worldwide. As the primary domain of residents’ daily activities, the community life circle contributes to neighbourly interaction and social cohesion. This study investigates the role of space use within the community life circle in promoting social cohesion in Chongqing, China. Through an in-depth activity diary survey and structural equation model analysis, we empirically examine the interplay between community space use, neighbourly interaction, and social cohesion. Our findings suggest that the 15 min community life circle plays a crucial role in residents’ daily lives, particularly among senior residents. However, the contribution of community space use to social cohesion is fully mediated by neighbourly interaction. Furthermore, not all patterns of community space use contribute to social cohesion equally; space use engaged with diverse companions on workdays significantly enhances neighbourly interaction and social cohesion. The study enriches the existing literature by deepening our understanding of the role of the community life circle in fostering socially cohesive and sustainable neighbourhoods.","PeriodicalId":508186,"journal":{"name":"Land","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141822354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Soyoung Kim, Simon A. Andrew, Edgar Ramirez de la Cruz, Woo-Je Kim, R. Feiock
Local government managers play a critical role in sustainability and climate adaptation planning, and in relation to land-use policy, but little is known about how managers’ hazard risk concerns influence the implementation of resilience policy or how this relationship may vary across different landscapes and types of hazards. Linking managers’ disaster concerns to their planning choices is particularly relevant to resilience planning for adaptation to climate change, since greenhouse gas emissions are global but the harms produced by climate change are local. Moreover, climate adaptation planning encompasses risks from multiple hazards. For a sample of cities in the state of Florida, USA, we report the findings of empirical analysis of the relationships between local government managers’ hazard-specific climate-related disaster concerns and their resilience-planning priorities for four types of hazards: river flooding, sea-level rise, storm surge and hurricane/tornado winds. Drawing on data from a survey of local disaster managers and policy data on the implementation of adaptation-planning actions, the link between managers’ concerns and plan implementation is identified and compared across communities and across types of hazards. The pooled logit regression results reveal that the differences observed among these hazards persist even after controlling for objective risks and relevant community characteristics. We discuss the nature of the differences across four hazards and explore the implications of the findings for the literature on land use and climate adaptation and for the education of local government managers.
{"title":"Impacts of Local Government Perceptions of Disaster Risks on Land Resilience Planning Implementation","authors":"Soyoung Kim, Simon A. Andrew, Edgar Ramirez de la Cruz, Woo-Je Kim, R. Feiock","doi":"10.3390/land13071085","DOIUrl":"https://doi.org/10.3390/land13071085","url":null,"abstract":"Local government managers play a critical role in sustainability and climate adaptation planning, and in relation to land-use policy, but little is known about how managers’ hazard risk concerns influence the implementation of resilience policy or how this relationship may vary across different landscapes and types of hazards. Linking managers’ disaster concerns to their planning choices is particularly relevant to resilience planning for adaptation to climate change, since greenhouse gas emissions are global but the harms produced by climate change are local. Moreover, climate adaptation planning encompasses risks from multiple hazards. For a sample of cities in the state of Florida, USA, we report the findings of empirical analysis of the relationships between local government managers’ hazard-specific climate-related disaster concerns and their resilience-planning priorities for four types of hazards: river flooding, sea-level rise, storm surge and hurricane/tornado winds. Drawing on data from a survey of local disaster managers and policy data on the implementation of adaptation-planning actions, the link between managers’ concerns and plan implementation is identified and compared across communities and across types of hazards. The pooled logit regression results reveal that the differences observed among these hazards persist even after controlling for objective risks and relevant community characteristics. We discuss the nature of the differences across four hazards and explore the implications of the findings for the literature on land use and climate adaptation and for the education of local government managers.","PeriodicalId":508186,"journal":{"name":"Land","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141820512","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The impact of flooding on cities is becoming increasingly significant in the context of climate change and rapid urbanization. Based on the analysis of the land use changes and rainstorm waterlogging inundation scenarios of Jiangqiao Town from 1980 to 2020, a scenario analysis was conducted to simulate and assess the rainstorm waterlogging disaster risk in 2040 under three land use scenarios (a natural development scenario, Scenario ND; an economic growth scenario, Scenario EG; and an ecological development priority scenario, Scenario EP) and three rainstorm scenarios with return periods of 10, 50, and 100 years. The following results were found: (1) Land use change is a significant factor in the risk of urban rainstorm waterlogging disaster caused by surface runoff and inundation depth change. In particular, the resultant increase in impermeable surfaces such as residential land and industrial land and the decrease in farmland during urbanization would lead to an increase in urban rainstorm waterlogging disaster risk. (2) Under three rainstorm scenarios, the future land use exposure elements and losses are consistent in terms of spatial distribution; from 10-year to 100-year return periods, they manifest as an expansion from the south to the surroundings, especially to the central region of the study area. The locations at risk are mainly distributed in the central and southern regions of Jiangqiao Town. (3) The economic losses are different in different land use scenarios and rainstorm scenarios. In the context of rainstorm scenarios with return periods of 10, 50, and 100 years, the total losses in land use scenario ND are CNY 560 million, CNY 890 million, and CNY 1.07 billion; those in land use scenario EG are CNY 630 million, CNY 980 million, and CNY 1.19 billion; and those in land use scenario EP are CNY 480 million, CNY 750 million, and CNY 910 million. The total losses of land use EP are the lowest by comparison. So, the influence of land use change on the rainstorm waterlogging disaster risk shows obvious differences among different rainstorm scenarios. This study has important reference value for decision making on land use management and flood disaster risk management in rapidly urbanizing areas.
{"title":"Assessment of Rainstorm Waterlogging Disaster Risk in Rapidly Urbanizing Areas Based on Land Use Scenario Simulation: A Case Study of Jiangqiao Town in Shanghai, China","authors":"Hui Xu, Junlong Gao, Xinchun Yu, Qianqian Qin, Shiqiang Du, Jiahong Wen","doi":"10.3390/land13071088","DOIUrl":"https://doi.org/10.3390/land13071088","url":null,"abstract":"The impact of flooding on cities is becoming increasingly significant in the context of climate change and rapid urbanization. Based on the analysis of the land use changes and rainstorm waterlogging inundation scenarios of Jiangqiao Town from 1980 to 2020, a scenario analysis was conducted to simulate and assess the rainstorm waterlogging disaster risk in 2040 under three land use scenarios (a natural development scenario, Scenario ND; an economic growth scenario, Scenario EG; and an ecological development priority scenario, Scenario EP) and three rainstorm scenarios with return periods of 10, 50, and 100 years. The following results were found: (1) Land use change is a significant factor in the risk of urban rainstorm waterlogging disaster caused by surface runoff and inundation depth change. In particular, the resultant increase in impermeable surfaces such as residential land and industrial land and the decrease in farmland during urbanization would lead to an increase in urban rainstorm waterlogging disaster risk. (2) Under three rainstorm scenarios, the future land use exposure elements and losses are consistent in terms of spatial distribution; from 10-year to 100-year return periods, they manifest as an expansion from the south to the surroundings, especially to the central region of the study area. The locations at risk are mainly distributed in the central and southern regions of Jiangqiao Town. (3) The economic losses are different in different land use scenarios and rainstorm scenarios. In the context of rainstorm scenarios with return periods of 10, 50, and 100 years, the total losses in land use scenario ND are CNY 560 million, CNY 890 million, and CNY 1.07 billion; those in land use scenario EG are CNY 630 million, CNY 980 million, and CNY 1.19 billion; and those in land use scenario EP are CNY 480 million, CNY 750 million, and CNY 910 million. The total losses of land use EP are the lowest by comparison. So, the influence of land use change on the rainstorm waterlogging disaster risk shows obvious differences among different rainstorm scenarios. This study has important reference value for decision making on land use management and flood disaster risk management in rapidly urbanizing areas.","PeriodicalId":508186,"journal":{"name":"Land","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141820992","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
D. Dogaru, A. Petrisor, Claudiu-Valeriu Angearu, Laura Lupu, D. Bălteanu
In Romania, excessive fragmentation of croplands remains persistent in areas of significant agricultural potential as a consequence of combined factors involving both land governance and farms’ characteristics. This paper examines the fragmentation of agricultural land use in the Romanian Plain, focusing on the impact of land policies implemented in Romania during the past three decades. The analysis relies on a survey of local policies that helps to distinguish three phases that marked the evolution of the fragmentation of agricultural land during 1990–2020. Additionally, metrics derived from remote sensing time series further assist in capturing the fragmentation levels during the identified phases and the spatial differences for the analyzed period. The fragmentation levels appear strikingly contrasting between the western part of the Romanian Plain and the Danube alluvial areas; this has been attributed as being the joint result of various land governance components which both enabled and constrained proper utilization of agricultural land, and concurrent factors related to economic and sociodemographic changes. We find excessive fragmentation emerged in plain field areas, triggered by the high overall rates of institutional change. The findings underscore the importance of jointly considering the fragmentation phenomenon in its evolution, intensity and spatial differences for effective land use policy formulation, emphasizing the need for proactive governance to support the efficient use of agricultural resources.
{"title":"Land Governance and Fragmentation Patterns of Agricultural Land Use in Southern Romania during 1990–2020","authors":"D. Dogaru, A. Petrisor, Claudiu-Valeriu Angearu, Laura Lupu, D. Bălteanu","doi":"10.3390/land13071084","DOIUrl":"https://doi.org/10.3390/land13071084","url":null,"abstract":"In Romania, excessive fragmentation of croplands remains persistent in areas of significant agricultural potential as a consequence of combined factors involving both land governance and farms’ characteristics. This paper examines the fragmentation of agricultural land use in the Romanian Plain, focusing on the impact of land policies implemented in Romania during the past three decades. The analysis relies on a survey of local policies that helps to distinguish three phases that marked the evolution of the fragmentation of agricultural land during 1990–2020. Additionally, metrics derived from remote sensing time series further assist in capturing the fragmentation levels during the identified phases and the spatial differences for the analyzed period. The fragmentation levels appear strikingly contrasting between the western part of the Romanian Plain and the Danube alluvial areas; this has been attributed as being the joint result of various land governance components which both enabled and constrained proper utilization of agricultural land, and concurrent factors related to economic and sociodemographic changes. We find excessive fragmentation emerged in plain field areas, triggered by the high overall rates of institutional change. The findings underscore the importance of jointly considering the fragmentation phenomenon in its evolution, intensity and spatial differences for effective land use policy formulation, emphasizing the need for proactive governance to support the efficient use of agricultural resources.","PeriodicalId":508186,"journal":{"name":"Land","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141827104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mountain town ecosystems are fragile and highly susceptible to the impacts of human activities and ecological imbalances. This study aimed to improve the traditional ecological footprint (EF) model by incorporating expanded land functions, localised factors, and temporal continuity. Using Lushan County in Sichuan Province as a case study, we calculated spatial and temporal changes from 2009 to 2022 and evaluated sustainable development through four indicators: ecological pressure, ecological sustainability, ecological occupation, and ecological–economic coordination. The results show that from 2009 to 2022, the per capita ecological carbon footprint in Lushan County decreased by 48%, and the ecological carrying capacity declined by 9%. Despite a more than 73% reduction in the ecological surplus, indicating gradual ecological recovery, Lushan County remains in an ecological deficit state with increasing ecological unsustainability. Only forest land is in an ecological surplus state among the six land use categories, while all other categories are in ecological deficit states. Regarding ecological sustainability assessment, Lushan County’s overall land use is in a strong sustainability state, with the sustainable development index gradually improving. However, ecological–economic coordination remains poor, with a high ecological occupation index and significant ecological pressure, indicating an imbalance between economic development and ecosystem protection. For future sustainable development in mountainous areas, Lushan County should focus on reducing the ecological carbon footprint and enhancing the ecological carrying capacity. These research findings provide valuable insights and methodological references for the sustainable development of mountain towns.
{"title":"Using Ecological Footprint Analysis to Evaluate Sustainable Development in Lushan County, China","authors":"Huihui Yang, Shuiyu Yan, Na An, Qiang Yao","doi":"10.3390/land13071081","DOIUrl":"https://doi.org/10.3390/land13071081","url":null,"abstract":"Mountain town ecosystems are fragile and highly susceptible to the impacts of human activities and ecological imbalances. This study aimed to improve the traditional ecological footprint (EF) model by incorporating expanded land functions, localised factors, and temporal continuity. Using Lushan County in Sichuan Province as a case study, we calculated spatial and temporal changes from 2009 to 2022 and evaluated sustainable development through four indicators: ecological pressure, ecological sustainability, ecological occupation, and ecological–economic coordination. The results show that from 2009 to 2022, the per capita ecological carbon footprint in Lushan County decreased by 48%, and the ecological carrying capacity declined by 9%. Despite a more than 73% reduction in the ecological surplus, indicating gradual ecological recovery, Lushan County remains in an ecological deficit state with increasing ecological unsustainability. Only forest land is in an ecological surplus state among the six land use categories, while all other categories are in ecological deficit states. Regarding ecological sustainability assessment, Lushan County’s overall land use is in a strong sustainability state, with the sustainable development index gradually improving. However, ecological–economic coordination remains poor, with a high ecological occupation index and significant ecological pressure, indicating an imbalance between economic development and ecosystem protection. For future sustainable development in mountainous areas, Lushan County should focus on reducing the ecological carbon footprint and enhancing the ecological carrying capacity. These research findings provide valuable insights and methodological references for the sustainable development of mountain towns.","PeriodicalId":508186,"journal":{"name":"Land","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141825325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Enhancing black soil quality is essential for ensuring national food security and promoting sustainable economic development in Northeast China. This paper utilizes survey data from farmers in the typical black soil region of the Sanjiang Plain to establish a structural equation model. This study explores the theoretical mechanisms and practical logic behind the influence of policy guidance and market-driven factors on farmers’ black soil protection behavior. The research findings are as follows: The effect values of policy guidance and market-driven factors on farmers’ black soil protection behavior are 0.042 and 0.195, respectively, with the influence of market-driven factors being more significant. The linkage effect value between policy guidance and market-driven factors in promoting farmers’ black soil protection behavior is 0.396. There are differences in the influence pathways of policy guidance and market-driven factors on the black soil protection behavior of different types of farmers. Farmers managing dryland and those with smaller-scale operations are more significantly affected by both policy guidance and market-driven factors, with a noticeable linkage effect between the two. However, the issue of degradation in black soil quality remains severe, and the awareness of black soil conservation among farmers still requires reinforcement. Future research should continue to explore the driving mechanisms behind farmers’ behaviors regarding black soil conservation and compare the actual effects and efficacy of various black soil conservation techniques through impact evaluations. This will facilitate the continuous improvement of mechanisms for black soil protection, ensuring the sustainable development of black soil quality, ecology, and biodiversity.
{"title":"Study on the Influence of Policy Guidance and Market-Driven Factors on Farmers’ Behavior Regarding Black Soil Protection","authors":"Tianyi Wang, Linghui Liu, Shanlin Huang","doi":"10.3390/land13071082","DOIUrl":"https://doi.org/10.3390/land13071082","url":null,"abstract":"Enhancing black soil quality is essential for ensuring national food security and promoting sustainable economic development in Northeast China. This paper utilizes survey data from farmers in the typical black soil region of the Sanjiang Plain to establish a structural equation model. This study explores the theoretical mechanisms and practical logic behind the influence of policy guidance and market-driven factors on farmers’ black soil protection behavior. The research findings are as follows: The effect values of policy guidance and market-driven factors on farmers’ black soil protection behavior are 0.042 and 0.195, respectively, with the influence of market-driven factors being more significant. The linkage effect value between policy guidance and market-driven factors in promoting farmers’ black soil protection behavior is 0.396. There are differences in the influence pathways of policy guidance and market-driven factors on the black soil protection behavior of different types of farmers. Farmers managing dryland and those with smaller-scale operations are more significantly affected by both policy guidance and market-driven factors, with a noticeable linkage effect between the two. However, the issue of degradation in black soil quality remains severe, and the awareness of black soil conservation among farmers still requires reinforcement. Future research should continue to explore the driving mechanisms behind farmers’ behaviors regarding black soil conservation and compare the actual effects and efficacy of various black soil conservation techniques through impact evaluations. This will facilitate the continuous improvement of mechanisms for black soil protection, ensuring the sustainable development of black soil quality, ecology, and biodiversity.","PeriodicalId":508186,"journal":{"name":"Land","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141827480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Land use directly affects the carbon emissions and carbon stock of the ecosystem, and indirectly affects the carbon emissions from anthropogenic activities, which occur more frequently in coastal regions. Taking Nantong City as an example, detailed carbon emission projects were classified and calculated for different land use types by combining land use images of five typical years. Based on the complex relationship between land use carbon emissions and socio-economic factors, the system dynamics model (SD) was used to simulate the land use carbon emissions from 2005 to 2060, and to construct carbon-neutral policy scenarios. Compared with inlands, carbon emissions from land use in Nantong are more pronounced than inland areas, and unique land use types, such as shallows, play an important role as carbon sinks. Total land use carbon emissions show an upward trend from 2005 to 2020 and carbon emissions from construction land dominate. Under the natural development condition, the total net carbon emissions of Nantong are about 4,298,250 tons in 2060, failing to achieve carbon neutrality. The scenario with all four policies adjusted (LO, IO, TP, and PC) has the best emission reductions, peaking at 10,949,010 tons of net carbon emissions in 2029 and reducing them to 1,370,202 tons in 2060, which is the scenario closest to the carbon-neutral target. Overall, this study provides a meaningful conclusion for the study of land use carbon emission characteristics and low-carbon pathways in coastal cities, which can guide the formation of government policies.
{"title":"Land Use Carbon Emission Estimation and Simulation of Carbon-Neutral Scenarios Based on System Dynamics in Coastal City: A Case Study of Nantong, China","authors":"Qingyun Xu, Kongqing Li","doi":"10.3390/land13071083","DOIUrl":"https://doi.org/10.3390/land13071083","url":null,"abstract":"Land use directly affects the carbon emissions and carbon stock of the ecosystem, and indirectly affects the carbon emissions from anthropogenic activities, which occur more frequently in coastal regions. Taking Nantong City as an example, detailed carbon emission projects were classified and calculated for different land use types by combining land use images of five typical years. Based on the complex relationship between land use carbon emissions and socio-economic factors, the system dynamics model (SD) was used to simulate the land use carbon emissions from 2005 to 2060, and to construct carbon-neutral policy scenarios. Compared with inlands, carbon emissions from land use in Nantong are more pronounced than inland areas, and unique land use types, such as shallows, play an important role as carbon sinks. Total land use carbon emissions show an upward trend from 2005 to 2020 and carbon emissions from construction land dominate. Under the natural development condition, the total net carbon emissions of Nantong are about 4,298,250 tons in 2060, failing to achieve carbon neutrality. The scenario with all four policies adjusted (LO, IO, TP, and PC) has the best emission reductions, peaking at 10,949,010 tons of net carbon emissions in 2029 and reducing them to 1,370,202 tons in 2060, which is the scenario closest to the carbon-neutral target. Overall, this study provides a meaningful conclusion for the study of land use carbon emission characteristics and low-carbon pathways in coastal cities, which can guide the formation of government policies.","PeriodicalId":508186,"journal":{"name":"Land","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141827149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hydrological region 36 in Mexico (RH36) faces significant water stress and tends towards agricultural mono-production. Following the regulation of its main rivers, the Nazas and Aguanaval, through dam construction and canalization, the flow of water in the lower basin of the Nazas River has become negligible, which has altered the riverfronts of major cities in the region. Consequently, Torreón, Gómez Palacio, and Lerdo, which are part of the La Laguna Metropolitan Zone (ZML), have expanded into new territories along the riverbanks and adjacent recharge areas. Establishing the boundaries of specific watersheds is crucial for the implementation of targeted rural and urban intervention strategies. This approach enhances understanding of interactions between the natural hydromorphology of a hydrological region, water infrastructure (dams, canals, reservoirs), and the urban and rural landscape. To effectively plan based on watershed boundaries, it is essential to develop hybrid cartographies that integrate urban, architectural, agricultural, and hydrological delineations. These maps provide valuable indicators for watershed-based planning, which facilitates precise hydrological urban restoration strategies tailored to specific basins. This research focuses on developing and presenting such hybrid cartographies, which combine hydrological, rural, and geographic data. This methodology aligns with the overarching objective of mitigating water stress in RH36 and promoting a transition towards more sustainable forms of agriculture.
{"title":"Hydrological and Urban Analysis of Territories under High Water Stress: Nazas and Aguanaval Rivers, Mexico","authors":"Juan José Barrios Avalos, Jordi Franquesa Sánchez","doi":"10.3390/land13071074","DOIUrl":"https://doi.org/10.3390/land13071074","url":null,"abstract":"Hydrological region 36 in Mexico (RH36) faces significant water stress and tends towards agricultural mono-production. Following the regulation of its main rivers, the Nazas and Aguanaval, through dam construction and canalization, the flow of water in the lower basin of the Nazas River has become negligible, which has altered the riverfronts of major cities in the region. Consequently, Torreón, Gómez Palacio, and Lerdo, which are part of the La Laguna Metropolitan Zone (ZML), have expanded into new territories along the riverbanks and adjacent recharge areas. Establishing the boundaries of specific watersheds is crucial for the implementation of targeted rural and urban intervention strategies. This approach enhances understanding of interactions between the natural hydromorphology of a hydrological region, water infrastructure (dams, canals, reservoirs), and the urban and rural landscape. To effectively plan based on watershed boundaries, it is essential to develop hybrid cartographies that integrate urban, architectural, agricultural, and hydrological delineations. These maps provide valuable indicators for watershed-based planning, which facilitates precise hydrological urban restoration strategies tailored to specific basins. This research focuses on developing and presenting such hybrid cartographies, which combine hydrological, rural, and geographic data. This methodology aligns with the overarching objective of mitigating water stress in RH36 and promoting a transition towards more sustainable forms of agriculture.","PeriodicalId":508186,"journal":{"name":"Land","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141830201","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Studying urban land use and its impact on carbon emissions is crucial for achieving China’s dual carbon goals. This research utilized the Shared Socio-economic Pathways (SSPs) scenarios 126, 245, and 585 from the Sixth International Coupled Model Intercomparison Project (CMIP6), along with a coupled System Dynamics (SD) and Patch-generating Land Use Simulation (PLUS) model and a carbon emission coefficient method to simulate and predict Xi’an’s land use carbon emissions from 2020 to 2040. The results indicate the following: (1) Cultivated and forest lands are the predominant land use types in Xi’an, with cultivated and grassland areas projected to decline under all three SSP scenarios by 2040. The most significant expansion of construction land, primarily at the expense of farmland, is projected under the SSP585 scenario, with an increase of 515.92 km2 by 2040. (2) Land use carbon emissions increased from 414.15 × 104 t in 2000 to 2376.10 × 104 t in 2020, with construction land being the primary source of emissions and forest land serving as the main carbon sink. However, the carbon sink capacity remained low at only 21.38 × 104 t in 2020. (3) Carbon emissions are expected to continue increasing under all scenarios through 2030 and 2040, though at a decreasing rate. The SSP126 scenario predicts the lowest emissions, reaching 9186.00 × 104 t by 2040, while SSP585 predicts the highest at 14,935.00 × 104 t. The findings of this study provide theoretical support for future low-carbon and high-quality urban development strategies.
{"title":"Simulation and Prediction of Land Use Change and Carbon Emission under Multiple Development Scenarios at the City Level: A Case Study of Xi’an, China","authors":"Rui Bian, Anzhou Zhao, Lidong Zou, Xianfeng Liu, Ruihao Xu, Ziyang Li","doi":"10.3390/land13071079","DOIUrl":"https://doi.org/10.3390/land13071079","url":null,"abstract":"Studying urban land use and its impact on carbon emissions is crucial for achieving China’s dual carbon goals. This research utilized the Shared Socio-economic Pathways (SSPs) scenarios 126, 245, and 585 from the Sixth International Coupled Model Intercomparison Project (CMIP6), along with a coupled System Dynamics (SD) and Patch-generating Land Use Simulation (PLUS) model and a carbon emission coefficient method to simulate and predict Xi’an’s land use carbon emissions from 2020 to 2040. The results indicate the following: (1) Cultivated and forest lands are the predominant land use types in Xi’an, with cultivated and grassland areas projected to decline under all three SSP scenarios by 2040. The most significant expansion of construction land, primarily at the expense of farmland, is projected under the SSP585 scenario, with an increase of 515.92 km2 by 2040. (2) Land use carbon emissions increased from 414.15 × 104 t in 2000 to 2376.10 × 104 t in 2020, with construction land being the primary source of emissions and forest land serving as the main carbon sink. However, the carbon sink capacity remained low at only 21.38 × 104 t in 2020. (3) Carbon emissions are expected to continue increasing under all scenarios through 2030 and 2040, though at a decreasing rate. The SSP126 scenario predicts the lowest emissions, reaching 9186.00 × 104 t by 2040, while SSP585 predicts the highest at 14,935.00 × 104 t. The findings of this study provide theoretical support for future low-carbon and high-quality urban development strategies.","PeriodicalId":508186,"journal":{"name":"Land","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141830572","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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