Dynamic evolution of ecological carrying capacity based on the ecological footprint theory: A case study of Jiangsu province

Peng, Benhong; Li, Yue; Elahi, Ehsan; Wei, Guo

doi:10.1016/j.ecolind.2018.12.009

Cited by 102 publications

(65 citation statements)

References 17 publications

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“…The term "carrying capacity" is derived from ecology, which is used to measure the largest organisms that a specific region can support for some period of time without obvious adverse effect on the local environment [12]. After that, the application field of carrying capacity continued to expand, and the ecological carrying capacity [13], environmental carrying capacity [14], land carrying capacity [15], and mineral resources carrying capacity [16] appeared one after the other. WRCC is an extension of the concept of carrying capacity in the field of water resources, which focuses on the interaction between the human system and the water resources system.…”

Section: Literature Reviewmentioning

confidence: 99%

A Three-Stage Hybrid Model for Space-Time Analysis of Water Resources Carrying Capacity: A Case Study of Jilin Province, China

Liu

Yang

et al. 2020

Water

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Water shortage, water pollution, shrinking water area and water mobility are the main contents of the water resources crisis, which are widespread in the social and economic development of Jilin Province. In this paper, a three-stage hybrid model integrating evaluation, prediction and regulation is constructed by combining the load-balance method and the system dynamics method. Using this model, the current states of water resources carrying capacity (WRCC) in 2017 and the trend of water demand/available from 2018 to 2030 were obtained. Using the orthogonal test method, the optimal combination program of agricultural and industrial water efficiency regulation and water resources allocation was selected. The results show that the pressure of the human–water resources system in Changchun, Liaoyuan and Baicheng is greater than the support, and the other six cities are not overloaded. The water demand in Jilin Province and its nine cities will increase from 2018 to 2030, if the current socio-economic development pattern is maintained. Therefore, we change the water quantity carrying capacity index by controlling agriculture, industrial water efficiency and trans-regional water transfer. Compared with 2015, among the optimal program obtained, the change range of the water use per 10,000 RMB of agricultural output is (−5%, 25%), and the water use per 10,000 RMB of industrial added value is (−45%, −35%), and the maximum water transfer is 1.5 billion m3 per year in 2030. This study analyzes the development pattern of WRCC in the process of water conservancy modernization in Jilin Province and provides reference for other provinces to make the similar plan.

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Section: Literature Reviewmentioning

confidence: 99%

A Three-Stage Hybrid Model for Space-Time Analysis of Water Resources Carrying Capacity: A Case Study of Jilin Province, China

Liu

Yang

et al. 2020

Water

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“…During the 200 years since its conception, the research on carrying capacity has changed from researches of biotic population growth law to the comprehensive carrying capacity covering natural resource endowments and human development demands [12]. The scopes of carrying capacity applications have been expanded, such as land resource carrying capacity [13,14], water resource carrying capacity [15][16][17], environmental carrying capacity [18][19][20], ecological carrying capacity [21][22][23], cultural carrying capacity [24,25], social carrying capacity [26,27] and comprehensive resources and environmental carrying capacity [28][29][30][31]. The progression of carrying capacity has gradually attached importance to the influence of human activity factors on the carrying capacity [12].…”

Section: Introductionmentioning

confidence: 99%

Resources and Environmental Pressure, Carrying Capacity, And Governance: A Case Study of Yangtze River Economic Belt

et al. 2020

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The analysis of the relationship between regional resources and environment and human activities plays an important role in sustainable regional development. This study proposes the pressure-capacity-governance (PCG) model, an analytic framework for the assessment of the resources and environmental pressure (REP), carrying capacity (RECC) and governance (REG) levels over a large watershed scale, with the Yangtze River Economic Belt (YREB) as the study area. A limiting factor analysis is used to recognize the limiting factors of the regional RECC. The coupling analysis of resources and environmental pressure-capacity-governance identifies the regional potential and utilization direction. The research results are as follows. (1) The REP, RECC and REG levels of the YREB exhibit spatial differences. The REPs of the upper reaches are lower than those of the lower reaches, which does not match the RECC but matches the REG levels.(2) The proportions of unused land, water resources, and atmospheric environmental quality are the main limiting factors of the regional RECC. (3) The PCG analysis framework is used as the basis to divide the YREB into several subareas to analyse the resources and environmental potential carrying capacity and utilization direction of different types of region. This research may provide decision-making references for regional sustainable development at the large watershed scale.

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“…The concept "resources and environment carrying capacity (RECC)" covers the connotation of multiple dimensions, including resource, environment, ecology, disaster, society, and economy. In terms of the resource dimension, carrying capacity refers to the capacity of resources to supply the environmental system and human needs [6][7][8][9][10]; in terms of the environment dimension, carrying capacity refers to the maintenance function of good environmental quality with the dilution and self-purification of pollution; in terms of the ecology dimension, carrying capacity refers to the capacity to provide supply, adjustment, culture, and support for the existence of humans [11][12][13][14]; in terms of the social and economic dimension, carrying capacity refers to the intensity, scope, and relevant threshold of natural resources and environment to carry humans and social and economic activities of humans and, within the threshold system, the resource and environment system will not sustain obvious degeneration or collapse [14][15][16][17]. In addition, from the perspective of disaster response, there is the concept of disaster carrying capacity which refers to the overall resistance capacity of disaster carrying systems, including resources and the environment, to natural disasters [18,19].…”

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confidence: 99%

Evaluation and Forewarning Management of Regional Resources and Environment Carrying Capacity: A Case Study of Hefei City, Anhui Province, China

et al. 2020

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The evaluation of resources and environment carrying capacity (RECC) is the basis of strategic policy for the development and utilization of regional resources, economic development, and environmental protection. The magnitude of carrying capacity of resources and environment is the result of the balance of multiple aspects including economy, resources, and society. In order to reflect this multi-dimensional vector relationship, a multi-level and multi-targeted evaluation index system needs to be constructed. The paper, adopting the analytic hierarchy process and including PM2.5 (Particulate matter with diameter less than or equal to 2.5 microns in the atmosphere) into the index system, establishes the evaluation system of regional RECC and analyzes the trend of RECC in Hefei city with the index system to put forward the countermeasures of forewarning management. The results are shown as follows: (1) Overall, the RECC in Hefei city presents a declining trend, with a reduction from a middle to lower level during the showed the fastest decline and the year 2013 witnessed a slight increase; (2) from the perspective of mutual influence of indexes, the main reason causing the decline of RECC in Hefei city is that the natural resources and environment carrying capacity was in a declining trend from the year 2009 to 2013, respectively declining from middle and high levels to a lower level, while the social economy carrying capacity in Hefei city was in an increasing trend as a whole from the year 2009 to 2013, with an increase from lower level to middle level. From the perspective of the forewarning management of RECC, it focuses on improving the forewarning response system of regional resources and environment carrying capacity, establishes the sharing mechanism of RECC monitoring data and improves the responsibility assigning mechanism of RECC. The study enriches the evaluation index system of RECC and proves that it is reasonable and efficient to build a differentiated index system to scientifically recognize RECC in different regions, having reference value to evaluate similar regional RECC.Sustainability 2020, 12, 1637 2 of 15 consumption accounts for 65% of total water consumption in China, but the average effective utilization ratio of agricultural irrigation with water resources is about 50% in China, compared with more than 70% in developed countries [2]. In addition, the emission of "three wastes" has polluted a large area of soil, air, surface and underground water, seriously restricting the development of the population and social economy. Sustainability is a process or state that can sustain for the long term. The sustainability of human society consists of ecological sustainability, economic sustainability, and social sustainability, and the three are mutually related and indivisible. Ma Shijun, based on many years of study on ecology and in-depth thoughts of population, food, resources, energy, the environment, and other critical ecological and economic issues faced by human society, put forward the conce...

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Dynamic evolution of ecological carrying capacity based on the ecological footprint theory: A case study of Jiangsu province

Cited by 102 publications

References 17 publications

A Three-Stage Hybrid Model for Space-Time Analysis of Water Resources Carrying Capacity: A Case Study of Jilin Province, China

A Three-Stage Hybrid Model for Space-Time Analysis of Water Resources Carrying Capacity: A Case Study of Jilin Province, China

Resources and Environmental Pressure, Carrying Capacity, And Governance: A Case Study of Yangtze River Economic Belt

Evaluation and Forewarning Management of Regional Resources and Environment Carrying Capacity: A Case Study of Hefei City, Anhui Province, China

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