Great challenges regarding land use conflicts in rapid urbanization call for deeper research on land use efficiency (LUE) from the perspective of sustainable land use for the coordination among food security, economic development, and ecological protection. This study firstly develops a new framework of LUE based upon the expectations in land use and the coordination among three sub-categories in food production, economic development, and ecological protection, then, uses the coupling coordination degree model to quantify the spatial differentiation characteristics and coupling coordination relationships among three sub-categories, and finally uses the multivariable linear regression and geographical detectors to analyze the impact factors of sub-category efficiency. The framework is applied to Jiangsu Province in eastern China by using ten indicators (i.e., cultivated land quality, grain output, multiple cropping index, average GDP per km, population density, proportion of industry and service industry, vegetation cover index, water conservation index, soil retention index, and carbon sequestration index) in terms of food production, economy, and ecology analysis at the county level. Compared with expectations, the LUE of Jiangsu in food production, economic development, and ecological protection is 54.15%, 85.56%, and 54.95%, respectively, indicating that Jiangsu has great potential for sustainable land use. The coupling coordination degree in land use generally synchronizes with the coupling degree, accounting for 65.34% of the province's area, of which 75.00% are in lower-coupling & lower-coordination, medium-coupling & medium-coordination. Among all the factors, proportion of industry and service industry, population density, multiple cropping index, average GDP per km, and water conservation index have the most important roles in the coordinated development of land use sub-systems. Therefore, we suggest land use/urban management need to implement more integrated planning and differentiated strategies to stimulate land use potential and maintain efficient and sustainable land use.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.scitotenv.2019.135670 | DOI Listing |
Proc Natl Acad Sci U S A
January 2025
Research Applications Laboratory, NSF National Center for Atmospheric Research, Boulder, CO 80301.
Precipitation recycling, where evapotranspiration (ET) from the land surface contributes to precipitation within the same region, is a critical component of the water cycle. This process is especially important for the US Corn Belt, where extensive cropland expansions and irrigation activities have significantly transformed the landscape and affected the regional climate. Previous studies investigating precipitation recycling typically relied on analytical models with simplifying assumptions, overlooking the complex interactions between groundwater hydrology and agricultural management.
View Article and Find Full Text PDFChanges in terrestrial ecosystem carbon storage (CS) affect the global carbon cycle, thereby influencing global climate change. Land use/land cover (LULC) shifts are key drivers of CS changes, making it crucial to predict their impact on CS for low-carbon development. Most studies model future LULC by adjusting change proportions, leading to overly subjective simulations.
View Article and Find Full Text PDFSci Rep
January 2025
Hubei Key Laboratory of Biologic Resources Protection and Utilization, Hubei Minzu University, Enshi, 445000, Hubei Province, China.
As a key food production base, land use changes in the Jianghan Plain (JHP) significantly affect the surface landscape structure and ecological risks, posing challenges to food security. Assessing the ecological risk of the JHP, identifying its drivers, and predicting the risk trends under different scenarios can provide strategic support for ecological risk management and safeguarding food security in the JHP. In this study, the landscape ecological risk (LER) index was constructed by integrating landscape indices from 2000 to 2020, firstly analyzing its spatiotemporal characteristics, subsequently identifying the key influencing factors by using the GeoDetector model, and finally, simulating the risk changes under the four scenarios by using the Markov-PLUS model.
View Article and Find Full Text PDFSci Rep
January 2025
Institute of Crop Science and Resource Conservation, University of Bonn, Katzenburgweg 5, D-53115, Bonn, Germany.
Climate change significantly challenges smallholder mixed crop-livestock (MCL) systems in sub-Saharan Africa (SSA), affecting food and feed production. This study enhances the SIMPLACE modeling framework by incorporating crop-vegetation-livestock models, which contribute to the development of sustainable agricultural practices in response to climate change. Applying such a framework in a domain in West Africa (786,500 km) allowed us to estimate the changes in crop (Maize, Millet, and Sorghum) yield, grass biomass, livestock numbers, and greenhouse gas emission in response to future climate scenarios.
View Article and Find Full Text PDFSci Rep
January 2025
Faculty of Resources and Environmental Science, Hubei University, Wuhan, China.
The preservation of Chinese traditional villages plays a crucial role in promoting the sustainable development of rural natural, cultural, and ecological environments. It is also a key strategy for achieving rural revitalization. Current research on traditional villages predominantly focuses on the realm of cultural landscapes, with an emphasis on preserving the cultural ecological value of these communities.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!