Environmental Carrying Capacity Research Articles

Evaluation of resource and environmental carrying capacity in Xiong’an New Area

From four dimensions of resource, environment, ecology (green ecology) and social economy, correlation analysis method and principal component analysis method of SPSS are used to screen evaluation indexes to design a scientific and reasonable evaluation indexes system of resource and environmental carrying capacity in Xiong’an New Area in line with regional characteristics. Based on fuzzy comprehensive evaluation method, resource and environmental carrying capacity of the New Area are evaluated. The results show that: the resource and environmental carrying capacity of the New Area from 2014 to 2018 are 0.3229, 0.3556, 0.3521, 0.3859 and 0.4445 respectively, with an average annual growth rate of 8.32% and a steady growth trend. Then, some countermeasures to improve resource and environmental carrying capacity of the New Area are presented from three aspects of development and utilization of land resource, development and utilization of water resource and protection and utilization of water environment.

Analysis of the coupling coordination of livestock production, residential consumption, and resource and environmental carrying capacity in China

Analysis of the coupling coordination of livestock production, residential consumption, and resource and environmental carrying capacity in China

Research on Green Production of the Iron and Steel Industry Based on DDF-BML Model

Although the iron and steel industry serves as the pillar industry of national economic development, the negative effects of its high emission and high pollution characteristics on the environment cannot be ignored. In order to achieve the carbon peaking and carbon neutrality goals at an early time and implement five priority tasks, including cutting overcapacity, reducing excess inventory, deleveraging, lowering costs and strengthening areas of weakness, it is urgent to realize the green production of the iron and steel industry. This paper takes listed iron and steel companies from 2016 to 2019 as research samples, and applies the two-stage Malmquist index based on the directional distance function (DDF) to measure the green total factor productivity (GTFP) of iron and steel enterprises. From macro and micro perspectives, the empirical model is used to explore the main influential factors of gtfp. The empirical results show that the overall gtfp growth rate of iron and steel enterprises is not ideal, falling behind at the end of the manufacturing industry. The promotion effect of R&D investment is limited, and the environmental carrying capacity of the production cluster area is approaching the limit. Based on the above empirical results, this paper proposes the following workable implementation path to the realization of the green production of iron and steel industry: On the one hand, the iron and steel enterprises should pay attention to improve technical efficiency, constantly improve low-carbon production process, optimize industrial layout. On the other hand, the government should guide the digital and intelligent development of the iron and steel industry and strengthen supervision to ensure the safety and stability of the supply of resources in the iron and steel industry.

Detection Method of Tourist Flow in Scenic Spots based on Kalman Filter Prediction

The tourism industry has developed rapidly, but it is always limited by the environmental carrying capacity and cannot receive too many tourists at the same time. Therefore, it is very necessary to limit the number of tourists visiting at the same time based on traffic detection. To this end, the tourist scenic spot (TSS) traffic statistics system was designed. The system performed graying, binarization, image denoising, and morphological processing on the image. The pre-processed image used the background difference method based on mixed Gaussian background modeling to detect moving objects. The improved Hough transform circle detection method was used to identify the head target, and the Kalman filter (KF) was used to complete the target tracking. KF could predict the target trajectory accurately, and the improved Hough transform circle detection method could recognize the head under occlusion. The maximum missed detection rate of the statistical system was 3.2\%, the minimum is 0, and the overall detection accuracy was the highest. The error rate of inbound passenger flow was 4.10\%, and the error rate of outbound passenger flow was 3.0\%. Using this system can control the tourist flow (TF) in the scenic spot and avoid safety accidents due to excessive passenger flow. And it is conducive to the sustainable development of the scenic spot.

Spatial identification and priority conservation areas determination of wilderness in China

In the context of an increasingly severe ecological crisis and accelerating ecological civilization construction, the specific regional differences as well as the natural environment of China restrict the uniform population distribution and the social economy's spatial layout, forming a large and widely distributed wilderness. The post-2020 Global Biodiversity Framework (GBF) takes the protection of wilderness areas as one of the key conservation goals and brings new opportunities for wilderness protection. Objective and accurate identification of the spatial range of wilderness and the determination of the focus of wilderness protection are significant for carrying out resource and environmental carrying capacity evaluations, biodiversity conservation, and national park system construction. At present, fewer studies pay attention to wilderness area identification and protection in China. In this study, we used the MaxEnt and Marxan models to establish a framework to identify the spatial distribution and conservation priorities of China's wilderness as well as guide wilderness conservation. The wilderness areas in China show a large-scale, concentrated distribution in space and a small, scattered distribution. From 2000 to 2020, the wilderness area decreased from 3.6323 million km2 in 2000 to 2.9142 million km2 in 2020, and the wilderness area reduction rate from 2000 to 2010 was greater than that in 2010–2020. From 2000 to 2020, the center of gravity of the wilderness area shifted 893.5 km to the southwest. Wilderness center of gravity relocated from Pingluo County, Ningxia Hui Autonomous Region to Delingha City, Qinghai Province. Considering conservation objectives and conservation costs, we determined that the wilderness area in urgent need of protection is 55,100 km2, accounting for 1.8 % of the total wilderness area. It is mainly distributed in Xinjiang Uygur Autonomous Region (13,000 km2), Yunnan Province (12,000 km2), and Sichuan Province (5300 km2). This methodological framework can provide an important reference for governments in dealing with global climate change, maintaining biodiversity and ecosystem diversity, and promoting sustainable human development.

Analysis of landcover changes and carrying capacity of coastal cities North Java of Central Java Province, Indonesia

North Coastal Central Java has been a strategic zone from the colonial era to the present because it supports the national socio-economic sector. Urbanization has threatened the development of districts/cities on the northern coast of Central Java. The physiographical conditions of coastal districts/cities along Pantura are formed from alluvial plains, making the environment's carrying capacity more vulnerable to changes in global conditions and pressures from the socio-economic activities of the population. This study aims to identify changes in land cover, its relationship to road infrastructure development, and its implications for environmental carrying capacity. The method used in this study uses GIS to determine changes in land cover and settlement growth patterns and calculates biocapacity and ecological footprint to obtain environmental carrying capacity conditions. The results show that land cover changes mainly occur in agricultural land, plantations, and settlements. In addition, the environment's carrying capacity experienced a deficit/overshoot in 2010, which continued until 2020. The result indicates the problem in the environmental dimension of sustainable development of coastal cities and requires serious intervention to increase environmental quality.

Resource and environmental carrying capacity study of Kubai Coalfield in Xinjiang based on RS and GIS

The study of resource and environmental carrying capacity (RECC) is critical to the ecological environmental protection and sustainable development of mining areas. Using multi-source remote sensing data such as Landsat5 and Landsat8, as well as socioeconomic statistics, the impact mechanism of the Kubai Coalfield's RECC was analyzed using the theory of Driving-Pressure-State-Impact-Response (DPSIR), and a three-level evaluation index system of 1-5-18 was proposed. The cloud model enhanced Analytic Hierarchy Process (AHP) was used to estimate the weight value of each assessment index. The Kubai Coalfield's RECC was calculated by superimposing the weights of different variables, and the contributing elements and changing trends of the RECC were investigated. The RECC of the Kubai Coalfield is highest in the east, second highest in the west, and lowest in the center, according to the results. The vegetation cover of the mining area has a direct impact on the RECC, and mining activity is the primary cause of the change in carrying capacity; however, coal mining has a lagging effect on the RECC. The study's findings serve as a guide for the quantitative assessment of RECC of Xinjiang's environmentally vulnerable mining sites and offer theoretical justification for the approach taken in the study of RECC of mining areas and the preservation of ecological environment sources.

Suitability and Carrying Capacity of Aquatic Environment for Shrimp Culture in Sarjo District, Pasangkayu Regency West Sulawesi

The potential of coastal and marine resources in Indonesia is so diverse both in terms of quantity and quality, should be able to contribute greatly to the economic growth of the State of Indonesia. The purpose of this stydy is to assess the level of land suitability and carrying capacity of the pond environment for shrimp culture in Sarjo District Pasangkayu Regency. The research was conducted using survey method, measuring biological, physical and chemical parameters. The observed data consisted of temperature, turbidity, TSS, current direction and speed, tides, pH, salinity, dissolved oxygen, ammonia, nitrate, nitrite, phosphate, BOD, COD, BOT, and plankton. Based on biological, physical and chemical data, an analysis of the suitability of the pond area was carried out using the geographic information system (GIS) Arc View GIS Application Version 3.3. The results of the level of suitability of land for shrimp culture in Sarjo District was very suitable 154.88 hectare; 2) Suitable 77.16 hectare and quite suitable 27.26 hectare. Overall land for aquaculture in each area is traditional 732.95 hectare, semi-intensive 1,589.12 hectare and intensive 247.83 hectare. The environmental carrying capacity of intensive shrimp cultivation ponds with an estimated maximum production of 42.63 tons ha-1, with a permitted pond area that does not exceed the environmental carrying capacity is 166.07 ha; semi-intensive cultivation with a maximum production of 153.49 tons ha-1 MT-1, the permitted pond area so as not to exceed the environmental carrying capacity is 597.85 hectare, traditional cultivation with a maximum production of 3.4 tons MT-1 with a supported pond area of 2,569 ha in Sarjo District, Pasangkayu Regency.

Characteristics of bacterial community structure in the sediment of Chishui River (China) and the response to environmental factors

Sediment microorganisms performed an essential function in the biogeochemical cycle of aquatic ecosystems, and their structural composition was closely related to environmental carrying capacity and water quality. In this study, the Chishui River (Renhuai section) was selected as the research area, and the concentrations of environmental factors in the water and sediment were detected. High⁃throughput sequencing was adopted to reveal the characteristics of bacterial community structures in the sediment. In addition, the response of bacteria to environmental factors was explored statistically. Meanwhile, the functional characteristics of bacterial were also analyzed based on the KEGG database. The results showed that the concentration of environmental factors in the water and sediment displayed spatial differences, with the overall trend of midstream > downstream > upstream, which was related to the wastewater discharge from the Moutai town in the midstream directly. Proteobacteria was the most dominant phylum in the sediment, with the relative abundance ranged from 52.06% to 70.53%. The distribution of genus-level bacteria with different metabolic activities varied in the sediment. Upstream was dominated by Massilia, Acinetobacter, and Thermomonas. In the midstream, Acinetobacter, Cloacibacterium and Comamonas were the main genus. Nevertheless, the abundance of Lysobacter, Arenimonas and Thermomonas was higher in the downstream. Redundancy analysis (RDA) showed that total nitrogen (TN) and total phosphorus (TP) were the main environmental factors which affected the structure of bacterial communities in sediment, while total organic carbon (TOC) was the secondary. The bacterial community was primarily associated with six biological pathway categories such as metabolism. Carbohydrate metabolism and amino acid metabolism were the most active functions in the 31 subfunctions. This study could contribute to the understanding of the structural composition and driving forces of bacteria in the sediment, which might benefit for the ecological protection of Chishui River.

Spatial Planning Policy Analysis and Participation Support Society Towards Environmental Sustainability

The research is purpose to find out implementation spatial planning policies on Bekasi city for stainable environmental management? Analytical methods used are: 1) Geo-physics analysis of land suitability analysis, 2) physical analysis; 3) Analysis of environmental management, 4) Analysis of socio-economic conditions, and 5) Analysis of Geographic Information System (GIS). The results obtained that spatial planning and environmental carrying capacity can be concluded that to meet the needs of diverse development needs to develop a spatial pattern of land use, coordinate, procedures for water and other resources in a unified a dynamic environment. To meet the needs of diverse development needs to develop a spatial pattern coordinate system guana land, procedures for water and other resources in a unified order dynamic environment. For that layout needs to be managed by an integrated pattern through a regional approach with respect to site natural environment, socio-cultural environment, and the artificial environment in accordance with its development. Good city spatial structure with more increased public participation in city layout is expected to be better. The parties involved in these activities the city department of administration, the whole society. There is a direct influence on the city hall community participation in maintaining a healthy environment, so if you want to increase public participation in maintaining a healthy environment can be done by increasing the city spatial planning. Knowledge to community environmental management in maintaining a healthy environment, can be done by improving environmental management Knowledge community.

Temporal and spatial changes in industrial structure and resource and environmental carrying capacity of the Three Gorges ecological economic corridor of the Yangtze River, China

Temporal and spatial changes in industrial structure and resource and environmental carrying capacity of the Three Gorges ecological economic corridor of the Yangtze River, China

Regional Water Environmental Carrying Capacity: Changing Trends and Direction, Obstacle Factors, and Implications

Regional Water Environmental Carrying Capacity: Changing Trends and Direction, Obstacle Factors, and Implications

Environmental quality and carrying capacity for restoration of estuarine mangrove ecosystem in the coral triangle ecoregion, Southeast Sulawesi, Indonesia

ABSTRACT The present study determines the environmental quality and carrying capacity for the restoration of the degraded mangroves in Southeast Sulawesi. The physico-chemical conditions of estuarine water and its sediment nutrient contents were determined in both protected and unprotected areas, with no significant difference (p > 0.05) except for nitrogen and inorganic carbon contents of water. The current study found promising environments for the restoration of degraded mangroves in unprotected areas in Southeast Sulawesi.

Urgency of disaster resilient village-geosite program: unveiling the critical need for strengthening connections between geosites and village communities

The Disaster Resilient Village Program (Destana) is a program that held by National and Regency Disaster Management Agency. However, the connection of Destana to the holistical aspect such as geologic landscape aspect is a discoursive material that appeals to many disaster management practitioners, scholars, international donors or governments. This study aims to explore the urgency of Disaster Resilient Geosites-Village Program from the risk condition, regulation, and community perception. Geopark Jogja and Geopark Gunung Sewu with their 20 geosites was purposively selected as the site of investigation. A qualitative research method involving focus group interviews (FGI), interviews, risk analysis using InaRisk, and regulatory analysis was used to explore and capture urgency of Disaster Resilient Village Program in geosites context, that called as Disaster Resilient Geosites-Village Program. Based on the results, several essential urgency were underlined for all approaches as follows: (1) all village with geosites have high to medium risks of disasters (2) geosites facing decline in the physical and environmental carrying capacity, which consequently leads to increased disasters risks for the community villages (3) local wisdom that develops in geosite areas is beneficial for disaster risk reduction efforts, and (4) well-conserved geosites support the local economic resiliency through tourism and geoproducts. These urgencies are expected to improve the community resiliency through a program aimed at reducing disaster risk through the mainstreaming of geosite functions into village-level policies and actions to enhance community resilience. This urgency study can stimulate community-level pilot projects that can be replicated in other areas or even elevated to government-level policies

An in-depth analysis of green innovation efficiency: New evidence based on club convergence and spatial correlation network

Green innovation is the cornerstone of global economic transformation. Based on the green innovation efficiency calculated under the two-stage innovation process, this paper discusses its convergence and network structure characteristics by applying the club convergence model and social network analysis method. The quadratic assignment procedure approach is employed to analyze the influencing factors. The results reveal that: (1) this paper finds β convergence but not convergence within subgroups based on regional classification. (2) Regarding network correction characteristics, the correlation ties and network density of the green innovation efficiency network demonstrate a downward trend, while the network hierarchy characteristics are still apparent. (3) The regional green innovation efficiency cluster performs different roles, as the core provinces become the beneficiaries of green innovation resources. (4) The differences in regional development and the clustering of block models are unfavorable to the formation of green innovation efficiency networks, while the differences in geographical proximity, green finance, resource environmental carrying capacity, and green innovation R&D efficiency foster the development of the spatial network. This paper contributes to promoting coordinated regional green innovation efficiency development.

Alleviating environmental pressure from livestock production: A “livestock-resource environmental carrying capacity” perspective in China

Scientific assessment of the relationships and influencing factors between livestock and resource-environmental carrying capacity (LS-RECC) is essential for alleviating environmental pressure. The crop-livestock balance method was used to measure China’s livestock production potential from 2005 to 2020. The improved coupling coordination degree model (I-CCDM) and exploratory spatial data analysis (ESDA) were used to analyze the spatial-temporal coordinated development characteristics of the LS-RECC. Furthermore, geographically and temporally weighted regression (GTWR) was used to identify the factors influencing the coordination development of the LS-RECC. The findings showed that (1) From 2005 to 2020, the nutrient demand for crop cultivation in China increased, and, the crop system nutrient demand exceeded the livestock nutrient supply in 2007 to 190 ×104 tons, reaching a maximum of 925 ×104 tons in 2019. However, the production potential of livestock in Ningxia, Tibet, Guizhou, Gansu, Yunnan, and Qinghai was severely overloaded. (2) The coupling coordination degree (CCD) of the LS-RECC showed a progressively increasing trend, which indicates that the sustainable development ability of China's livestock industry is constantly increasing. However, compared with that in eastern and central China, the coordinated development level of the LS-RECC in western China was lower, further indicating excessive livestock industry development in western China. (3) Environmental regulation had the strongest effect on the regional coordinated development of the LS-RECC, with obvious spatial differences. The economic development level had a positive effect, but urbanization and Engel's coefficients had the opposite effect. These results provide not only references for reducing environmental pressure on the livestock industry in China but also guidance for the sustainable development of the livestock industry in other large livestock production countries.

Assessment of Ecotourism Environmental Carrying Capacity in the Qilian Mountains, Northwest China

Ecotourism is the main trend of global tourism development, and evaluating the ecotourism environmental carrying capacity (EECC) of ecologically fragile areas can provide a scientific basis for the sustainable development of regional tourism. This study uses the typical fragile mountain area, the Qilian Mountains (QLMs), as an example and analyzes the spatial and temporal changes in EECC by constructing an evaluation indicator system of EECC, which is based on the framework of “natural ecological environment support—socio-economic pressure—tourism activity pressure”. In the results, it is found that the natural ecological environment support, socio-economic pressure, and tourism activity pressure in the QLMs all present a spatial distribution pattern of higher in the southeast and lower in the northwest. From a temporal perspective, most of the indicators of different subsystems show an increasing trend. The whole area of EECC in the QLMs shows an increasing trend in 85.4% of the region, while the EECC in some areas in the southeastern and northern parts shows a decreasing trend. Comparing different time periods, it is found that the EECC in the whole region shows an increasing trend from 2000 to 2010, while the proportion of areas with a decreasing trend in EECC from 2010 to 2018 reaches 67.1%. The research results can provide a scientific basis for the sustainable development of ecotourism in the QLMs and other similar regions in the world, and they further contribute to the protection of the ecological environment.

Sustainable Fishery Value Chain (SFVC): Study Case in Tilapia Industry

This research is built on the concept of sustainable value chains, where a framework for sustainable value chain analysis emerges that covers not only economic aspects but also includes environmental and social impacts in a collaborative model of value chain management. It explores the dimensions on which value chain sustainability should focus. It illustrates how and why it is necessary to take a broader perspective in ensuring the internal economic sustainability of the chain in line with its external socio-environmental consequences. This research aims to analyze the sustainability of the tilapia processing value chain. This research uses the Multi-Dimensional Scaling analysis method supported by Rap-fish software. The Rapfish methodology is a flexible technique that rapidly assesses fisheries status by integrating ecological and human factors according to identified norms. The results of this research show that the sustainability of the tilapia processing value chain is considered entirely sustainable from economic, social, and environmental aspects, with a sufficient sustainability index of 74.40%. The sustainability of the value chain relies on four key actors: tilapia cultivators, collectors, processors, and distributors. The sustainable tilapia processing value chain strategy in North Sumatra can limit floating net cages by considering the environmental carrying capacity and supported by suitable policies and active stakeholder participation in community-based legal institutions. This research found this is a strong sustainability concept if implemented with better governance and policy management in the tilapia industry value chain.

Spatial suitability evaluation based on multisource data and random forest algorithm: a case study of Yulin, China

With a large population and rapid urbanization, there are still many challenges to optimize the ecological-agricultural-urban space. Here, taking Yulin City, situated on the Loess Plateau of China as a case in point, we explored the spatial suitability evaluation of ecological-agricultural-urban space. Building upon the Chinese government’s concept of “resource and environmental carrying capacity and territorial development suitability evaluation” (hereinafter referred to as “double evaluation”), this study applies machine learning to the planning of ecological-agricultural-urban space. It explores an intelligent evaluation method for land space patterns using multi-source data. Based on the random forest (RF) algorithm and geographic information system (GIS), resulting in evaluated spatial patterns for ecological-agricultural-urban in the Yulin area. The results showed the constructed random forest models achieved an accuracy of 93% for ecology, 90% for agriculture, and 92% for urban space in Yulin City on the test dataset. By means of suitability analysis, the results indicated that the extremely important ecological space were predominantly located in the southwestern and eastern regions of the study area, while suitable space for agricultural production were primarily scattered throughout the southeast. In contrast, suitable space for urban construction were concentrated mainly in the central part of the study area. The use of machine learning has proven to be effective in addressing multicollinearity among spatial evaluation factors across three different areas. By eliminating human subjectivity in weight assignment during evaluation, it introduces fresh perspectives for land space planning and status assessment. These findings may offer support for the scientific delineation of ecological-agricultural-urban space (three districts and three lines) in China.

Multi-criteria evaluation of the environmental carrying capacity (ECC) of Gharesou watershed in Ardabil province to optimal utilization of watershed resource

Multi-criteria evaluation of the environmental carrying capacity (ECC) of Gharesou watershed in Ardabil province to optimal utilization of watershed resource