Water-land resource carrying capacity in China: Changing trends, main driving forces, and implications

2022 ◽  
Vol 331 ◽  
pp. 130003
Author(s):  
Yanhu He ◽  
Zirui Wang
Land ◽  
2019 ◽  
Vol 8 (4) ◽  
pp. 69 ◽  
Author(s):  
Kaiyuan Li ◽  
Xiaolong Jin ◽  
Danxun Ma ◽  
Penghui Jiang

The evaluation of resource and environmental carrying capacity (RECC) is the foundation for the rationale behind the arrangement of land spaces for production, living, and ecological uses. In this study, based on various natural, economic, and social factors, an integrated Multi-Factor assessment model was developed to evaluate the RECC of Xinbei district of Changzhou. Meanwhile, we also calculated the population carrying capacity estimation model restricted by food security. The study comprehensively analyzed the current status and land resource characteristics of a rapid urbanization area and the RECC restrictions for protection and development. The results indicate that the comprehensive carrying capacity of Xinbei showed distinct spatial heterogeneity, with a decreasing trend from the riverside protection area to urban areas, then to mountain areas. Combined with the secure food supply provided by future land resources, it was estimated that the population carrying index of Xinbei would be as high as 1.25 and 1.22 in 2035 and 2050, respectively, indicating that both years would experience a population overload. Therefore, an urgent adjustment to the structure and layout of territorial space and resources of the Xinbei District is necessary.


Water ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 607 ◽  
Author(s):  
Zhaofang Zhang ◽  
Weijun He ◽  
Min An ◽  
Dagmawi Degefu ◽  
Liang Yuan ◽  
...  

The sustainable development of socioeconomic and environmental systems are highly dependent on water capital and water utilization efficiency. Nowadays, a significant portion of the world is facing water security issues due to a combination of various factors. As a result, socioeconomic and environmental systems are threatened. China is also currently experiencing problems. Water security assessment helps to identify key determining factors for optimal water utilization, so the authors present the Driving Forces-Pressures-Carrying Capacity-State-Impacts-Responses (DPSCIR) water security assessment framework. Unlike previous methods, the proposed framework incorporates the carrying capacity of the environment, and as a result, yields assessment results that are more realistic. As a case study, the proposed framework coupled with the entropy method is applied to assess the water security status of the One Belt and One Road (B&R) region in China. In addition, the water security level of the provinces and municipalities in this region are simulated for the time period from 2017 to 2022 using the Grey Prediction Model. The results show that Responses, State, Pressures, and Carrying Capacity Subsystems greatly influence water security of the region. According to the assessment, water security of the area improved from 2011 to 2016. The results portray the following trend among the three subregions of the study area, the water security of the 21st Maritime Silk Road (One Road) area is better than Silk Road Economic Belt (One Belt) and the Strategy Support and Pivotal Gateway (SSPG) of B&R areas. Generally, from the evaluation results it can be concluded that only focusing on the subsystem of Responses cannot entirely address the water security problems within the B&R area. Therefore, to ensure sustainable water security in the region and in the country, the government needs to design water resource management mechanisms that take all the subsystems into account.


2013 ◽  
Vol 726-731 ◽  
pp. 4879-4882
Author(s):  
Hong Mei Zhang ◽  
Yang Gao

In recent years, the decrease of total arable land area and the area per capita of available arable land resource are serious problems in China. These problems will become more serious with the development of economy. In this paper, based on the statistical data of cultivated land in Hefei city from 1998 to 2009, their driving forces of the cultivated land change were analyzed by means of principal component analysis. The results showed the changing trends. The total and per capita of cultivated land were declining, but the speed of change was not the same. The sharp decrease was occurred in the period of 2002-2005. Nine affecting factors having influenced on cultivated land change which were analyzed by principal component analysis. The results show that population growth, economic development and efficiency of agricultural production were main driving forces affecting cultivated land change in Hefei city.


2021 ◽  
Vol 13 (23) ◽  
pp. 13383
Author(s):  
Chuqiao Han ◽  
Binbin Lu ◽  
Jianghua Zheng

The rapid development of urbanization, population growth, and unreasonable use of land resources have made the contradiction between human beings and land increasingly prominent, and the carrying capacity of land resources has become an important factor affecting the sustainable development of a city or even a country. Based on the carrying capacity of agricultural land, construction land, and ecological land in 31 provinces of China, this paper analyzed the spatiotemporal characteristics of the carrying capacity of land resources in 31 provinces of China from 2008 to 2016 by using single-factor carrying capacity evaluation and comprehensive carrying capacity evaluation methods. The evaluation results were divided into six levels (No pressure, Lower pressure, Low pressure, Medium pressure, High pressure, Higher pressure), and the ArcGIS10.2 software was used for visualization, and the carrying capacity prediction model was constructed to predict the development trend of the comprehensive carrying capacity of land resources in 2020 and 2025. The results showed that China’s land carrying capacity is extremely unbalanced. Whether from the evaluation results of single-factor carrying capacity or comprehensive carrying capacity, we showed the characteristics of high pressure in the east and low pressure in the west, and that the regional land resources have a deteriorating trend. Through the prediction of the future land resource carrying capacity index, it was found that the comprehensive carrying capacity index of land resources in 31 provinces of China will still show an upward trend in the future.


Author(s):  
Elya Pratiwi Isti Faroh ◽  
Fatih Cinderaswari Puspaningrani ◽  
Gema Reinadova ◽  
Muhammad Rais Akbar ◽  
Novanna Dwi Septyo Anggraeni ◽  
...  

Land resources are part of nature related to the availability of water, nutrients, and food that are dynamic and play an important role in the lives of living creatures, including humans. From time to time, land use experiences changes in response to human activities that benefit their lives. This research was conducted to determine trends in land use change in North Maluku Province, Indonesia, as well as to find out the land resource balance and land carrying capacity in the province. The methods comprised a simple descriptive and quantitative analysis along with spatial analysis using GIS. The results showed that land use in North Maluku Province for paddy fields was higher than that for non-paddy land use. However, the increase in non-paddy land use was greater every year compared with the increase in paddy land use. The land resource balance in North Maluku Province in 2010–2018 also showed a decrease in non-agricultural protected forest, by 150,895.79 ha, as well as an increase in 4,286 ha of irrigated paddy fields. Meanwhile, the land carrying capacity during this same period was found to be declining at a rate of 6% per year, based on the population increase each year within a permanent land area.


2007 ◽  
Vol 22 (2) ◽  
pp. 145-153 ◽  
Author(s):  
Christian J. Peters ◽  
Jennifer L. Wilkins ◽  
Gary W. Fick

AbstractAgriculture faces a multitude of challenges in the 21st century, and new tools are needed to help determine how it should respond. Among these challenges is a need to reconcile how human food consumption patterns should change to both improve human nutrition and reduce agriculture's environmental footprint. A complete-diet framework is needed for better understanding how diet influences demand for a fundamental agricultural resource, land. We tested such a model, measuring the impact of fat and meat consumption on the land requirements of food production in New York State (NYS). Analysis was confined to this geographic area to simplify the modeling procedure and to examine the state's ability to reduce environmental impact by supplying food locally. Per capita land resource requirements were calculated with a spreadsheet model for 42 diets ranging from 0 to 381 g d−1 (0 to 12 oz d−1) of meat and eggs and 20 to 45% total calories from fat. Many of these diets meet national dietary recommendations. The potential human carrying capacity of the NYS land base was then derived, based on recent estimates of available agricultural land. A nearly fivefold difference (0.18–0.86 ha) in per capita land requirements was observed across the diets. Increasing meat in the diet increased per capita land requirements, while increasing total dietary fat increased the land requirements of low meat diets but reduced the land needed for high meat diets. Higher meat diets used a larger share of the available cropland suited only to pasture and perennial crops. Thus, only a threefold difference was observed for the potential number of people fed from the NYS land base (2.0–6.2 million). In addition, some high-fat vegetarian diets supported fewer people than lower fat diets containing 63–127 g d−1 of meat (approximately one- to two-thirds of the national average per capita consumption in the US). These results support the assertion that diet should be considered in its entirety when assessing environmental impact. To more completely understand how diet influences land requirements and potential carrying capacity, this model should be applied across a larger geographic area that encompasses a wider variety of climates and soil resources. To better understand the ability of a local region to supply more of its own food, the model should be moved into a geospatial framework.


2002 ◽  
Vol 45 (8) ◽  
pp. 141-144 ◽  
Author(s):  
K. Takahashi ◽  
M. de los Angeles ◽  
J. Kuylenstierna

Water is a key resource in attaining sustainability – in social and economic development as well as in the long-term carrying capacity of the planet's life support systems, but consensus on the meaning and priority of these terms is still needed. Amongst the key points identified for water professionals: it is necessary to challenge compartmentalisation in water policy and management; water management strategies must focus clearly on the interdependence of the environment and socio-economic development; water professionals have a key role but must package the information and insight they can provide in a way that is attractive to intended recipients such as policy makers.


Land ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 575
Author(s):  
Yunfei Peng ◽  
Fangling Yang ◽  
Lingwei Zhu ◽  
Ruru Li ◽  
Chao Wu ◽  
...  

Analyzing the factors influencing emerging industry land use change is important for promoting industrial transformation and for upgrading and improving the level of intensive use of emerging industry land. In recent years, to solve the problem of land resource shortage and expansion space, Shenzhen has implemented a strategy of promoting urban development through technological innovation and has actively promoted the transformation of inefficient industrial land to emerging industry. This article introduces the development, land use types, and spatial distribution of Shenzhen’s emerging industries. Based on the logistic regression model, we analyze the differences between the factors influencing changes in land use for both emerging and traditional industry. The research results show that the distance from public roads, the distance from highways, the distance from railway freight stations, the proportion of secondary industry, and the proportion of tertiary industry are important explanatory variables for the two types of land use change. Traditional industrial land use is also affected by the land slope, the distance from ports, the population, and fixed asset investment. Emerging industry land use is also affected by the distance from the airport, the number of railway stations, the quality of the population, and innovation-driving forces. These results provide a reference for government to rationally plan emerging industry land and differentiated management of this, in order to fill the current research gap in the field of land use change, and to contribute to research revealing the mechanisms driving changes in emerging industrial land.


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