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Resources and land carrying capacity are vital to the survival and development of human society and form the foundation for ensuring food security. However, evaluating land carrying capacity solely based on grain production is overly simplistic. A comprehensive assessment from the perspective of dietary nutrition is needed to more accurately reflect the actual carrying capacity of land. This study evaluates the land carrying capacity of Fujian Province from the perspectives of three major nutrients: calories, protein, and fat, using statistical data from 2007 to 2022. It employs models such as the nutrient supply model, land carrying capacity model, center of gravity model, and grey prediction model to evaluate the land carrying capacity situation in Fujian Province during 2007–2022 and to predict the trends in land carrying capacity from 2023 to 2032. The results indicate that, during the study period, the following were observed: (1) Total food production in Fujian Province significantly increased, primarily dominated by plant-based foods, though there has also been a proportional increase in animal-based foods, demonstrating distinct regional production characteristics. (2) The overall supply of food nutrients in Fujian Province rose, with the greatest increase observed in fat supply. The main sources of nutrients are grains, meat, and aquatic products. (3) The land carrying capacity of Fujian Province, viewed through different nutrient perspectives, has increased, with the southeastern region exhibiting a higher carrying capacity compared to the northwest. Over time, the spatial imbalance in land carrying capacity has decreased, with the centroid shifting from south to north. (4) The degree of nutrient restriction in Fujian Province has decreased, leading to an improvement in of land carrying capacity, with fewer constraints observed in inland cities. Xiamen and Quanzhou face triple nutrient restrictions, Fuzhou and other areas face dual restrictions, Zhangzhou faces single restrictions, while the remaining cities have sufficient nutrient availability. The comprehensive land carrying capacity index of Fujian Province has improved, transitioning from a “critical overload” to an “excess of balance” state. (5) From 2023 to 2032, both the land carrying capacity and the resident population of Fujian Province are predicted to increase. While the constraint on protein will weaken, constraints on fat and calories will remain significant. The land carrying capacity is expected to remain in a state of “critical overload”, with the conflict between people and land continuing to be severe.

In this study, we present the evaluation of urban land carrying capacity (ULCC) based on an ecological sensitivity analysis. Remote sensing data and geographic information system (GIS) technology are employed to analyze topographic conditions, land-use types, the intensity of urban development, and ecological environmental sensitivity to create reasonable evaluation indicators to analyze urban land carrying capacity based on ecological sensitivity in the rapidly developing megacity of Hangzhou, China. In the study, ecological sensitivity is grouped into four levels: non-sensitive, lightly sensitive, moderately sensitive, and highly sensitive. The results show that the ecological sensitivity increases progressively from the center to the periphery. The results also show that ULCC is determined by ecologically sensitive levels and that the ULCC is categorized into four levels. Even though it is limited by the four levels, the ULCC still has a large margin if compared with the current population numbers. The study suggests that the urban ecological environment will continue to sustain the current population size in the short-term future. However, it is necessary to focus on the protection of distinctive natural landscapes so that decision makers can adjust measures for ecological conditions to carry out the sustainable development of populations, natural resources, and the environment in megacities like Hangzhou, China.

Organic rice is cultivated without synthetic materials, offering high economic value and health benefits. Supportive biophysical components are essential for optimal growth and improving organic rice productivity. This research aims to identify the biophysical components that contribute to the land's carrying capacity for organic rice growth. The research was conducted in Rowosari Village, Jember Regency, East Java. The study analyzed on-farm activities, including producing organic fertilizers and pesticides, land mapping, agroclimate, and assessing biological components. The results show that biophysical factors significantly influence organic rice growth. Indicators of the success of organic fertilizer produced are N of 0.15%, P of 0.04%, K of 0.22%, and fertilizer pH of 4.98. The qualitative analysis of organic pesticides revealed the presence of secondary metabolites like tannin, saponin, flavonoid, alkaloid, and terpenoid with the code (+++). A high biological diversity was observed, with a Shannon-H index exceeding 1. Additionally, the concentration of organic fertilizers and pesticides significantly increased the number of rice plant saplings during the vegetative phase. The study concludes that the biophysical components of the land provide strong support for the growth of organic rice, demonstrating their vital role in the sustainability and productivity of organic farming systems.

Stone column (SC) or granular column is widely used as a soil improvement method for flexible foundations such as oil storage tanks, embankments and rigid foundations. The confining pressure exerted by the surrounding soil allows the SC to develop its bearing capacity. The soft soil surrounding a SC may not provide sufficient lateral confinement. So, the design bearing carrying capacity may not be achieved. In such soils, a pervious concrete column (PCC) may be applied which deals with reinforcement as well as drainage. PCC can be constructed up to the full depth of soft soil or on the upper portion of a stone column up to which bulging is predominant. This study presents a parametric analysis of the performance of SCs, PCCs and composite columns (CCs) using three-dimensional numerical analyses. The parameters consider are: PCC diameter, PCC length in CCs surrounding soft clay cohesion, and full PCC length. Furthermore, the load transfer mechanism of pervious concrete is compared to that of a SC. In comparison to ordinary SCs, the findings of this study show that pervious concrete columns have a substantially better load carrying capacity and experience less lateral displacement. Furthermore, in a CC, the length of pervious concrete up to four times the column diameter may be sufficient to enhance the load carrying capacity of an ordinary SC.

To achieve sustainable development goals, the environment is one of the aspects that is taken into account. Environmental problems such as population growth, changes in land use, climate change lead to a decrease in the carrying capacity of the environment for the community. Pemalang Regency is included in the administrative area of Central Java Province, Indonesia. This writing aims to determine the extent of the Environmental Carrying Capacity in Pemalang Regency in the sector of water resources and land availability, as well as the resilience of the Environmental Carrying Capacity to the projected population growth in Pemalang Regency. This study found that the water resources sector has deficit since the first year of projected population growth in 2020. While in the land availability sector, it was found that the surplus condition occurred in the first year of projected population growth from 2020 to 2022

With the acceleration of urbanization, the construction land scale of urban and rural areas is constantly expanding, which leads to contradiction and conflict between territorial development and ecological protection becoming more and more serious. Therefore, as an important unit of county (district), and even urban and rural, development, the study on land resource carrying capacity and the rationality of the development can provide some basis for developing the optimal strategies of differential territorial space. Taking Xifeng, Gansu Province, China as the research area, this study constructs the evaluation index system of township construction land carrying capacity from the three dimensions of ecological protection, natural environment, and social economy. It evaluates the suitability of township construction land by the means of a comprehensive scoring method and discusses the carrying capacity and spatial pattern matching of township construction land based on the suitability evaluation results. The results showed that: (1) the spatial difference of suitability of construction land is obvious, which is higher in the city center than in the surrounding areas; (2) the comprehensive carrying capacity of township construction land is 52.62%, and different townships range from 3.78% to 13.15%. It is different between towns; (3) on the whole, the condition of township construction land is well-developed, and the main distribution forms are flaky, banded, and dotted. (4) There is a positive correlation between spatial matching and carrying capacity. The carrying capacity should be considered in regional development to avoid overdevelopment. It can provide a basis for optimizing the territorial spatial layout, strengthening the coordinated development among townships, and improving the comprehensive township carrying capacity in the Loess Plateau hilly and gully region.

At present, the contradiction between survival and ecology necessitates the integration of crop planting, chemical fertilizer application, and livestock and poultry breeding. Reasonably integrated crop-livestock systems (ICLSs) have become an important part of regional ecological and agricultural development. In this study, the relationship between manure nutrient demands for crops and manure nutrient supply from livestock is considered based on the balance of ICLSs in Jiangxi Province, China. The land carrying capacity index and potential of livestock breeding under uncoordinated systems are further discussed. The study also addresses water environmental risk due to surplus nutrients by integrating a traditional land carrying capacity framework and hydrological model. The results show that phosphorus absorption in land areas is the main limiting factor for the development of the livestock and poultry industries. In addition, manure nutrient demand exceeded supply in most districts, while the unbalanced regions with nutrient pollution are located in the upper and middle reaches of the Ganjiang basin. In addition, expanding the crop demand for manure or increasing the manure collection rate will help reduce environmental harm; however, attention should be paid to the risk of excessive manure returns. Additional livestock manure can be transferred to regions with developed crop planting systems. This study supports more harmonious and common ICLSs construction.

It is of great practical significance to understand the current situation of urban land carrying capacity, explore its potential space, and continuously improve the economic adaptability and resilience and population carrying capacity of megacities. Based on the guiding principle of territorial spatial division and the concept of moderate-scale resilient cities, combined with GIS technology, this study aims to divide land spaces into three types and construct different index systems to evaluate the land carrying capacity of Shanghai in different spaces. Furthermore, we propose different schemes of estimating subspace land population carrying capacity, and the carrying potential of land population is analysed as well. The acquired results demonstrate three key points. Firstly, the total land population capacity of Shanghai is estimated at 25,476.61–32,047.27 people, with urban land space being the most dominant for the city’s population carrying capacity. Furthermore, the inner suburbs carry the largest population, and the urban centre carries a larger population density than other areas. Secondly, there are significant spatial differences in land population carrying potential. Compared with the demographic data from 2017, Shanghai still has a population carrying potential of 1293.30–7863.97 people and a suitable population carrying potential of 4578.64 people. The population of the urban centre is near the upper limit of the estimated population carrying capacity, and the suburbs, especially the outer suburbs, have large population carrying potential. Thirdly, the estimation method adopted in this study can effectively reveal the spatial differences in population carrying capacity and the potential of different land spaces and different regions in Shanghai, with the estimation results being highly credible. The results will provide references for the improvement of the multi-scenario population planning strategy in Shanghai, as well as enrich the research span and methods currently employed in land carrying capacity.

This paper evaluates the carrying capacity of cultivated land in Guangdong Province, China, using the entropy weight method. Ecological and environmental pressure significantly impacts capacity, while economic and social factors are stable. Production pressure fluctuates and rises. To improve capacity, we must reduce ecological and environmental pressure, protect cultivated land resources, develop and promote green technology, and maintain water conservation facilities. The results indicate that reducing ecological and environmental pressure is essential to improve the carrying capacity of cultivated land in Guangdong Province. In conclusion, this study highlights the importance of balancing economic growth with environmental sustainability in developing regions like Guangdong Province. It suggests that a holistic approach that considers ecological, economic, and social factors is necessary to ensure long-term food security and sustainable land use practices.

Decoupling livestock and cropland production at regional scale have poor resource-use efficiency and detrimental effects on environment in China. It is therefore necessary to identify the decoupled livestock and cropland production system and make recommendations to recouple livestock and cropland. This study used the indexes of land carrying capacity ( LCC ), animal manure absorption capacity ( AMAC ), and risk warning value ( R ) to evaluate the coupling between cropland and livestock at the local scale in the Huang-Huai-Hai region. The decoupling of cropland and livestock in the case of Beijing (SY_BJ) was found assessed with lower theoretical value of LCC and higher theoretical value of AMAC compared with local actual situation, categorized as grade IV with a high R value (above 1). Contrary results were found that the livestock and cropland production systems were coupled at the local scale in the cases located in Hebei and Shandong Provinces, categorized as grade I or II. Two measures were used to optimize the decoupled case by adjusting the ratio of manure to fertilization or reducing breeding quantity. The decoupled case of SY_BJ could be optimized by adjusting the ratio of manure to fertilization (95.34% based on nitrogen and 81.97% based on phosphorus, respectively). The breeding quantity in this case should be reduced by at least 46% to recouple the livestock and cropland at the local level to manage nutrient surpluses from livestock and poultry breeding.