Spatiotemporal evolution for early warning of ecological carrying capacity during the urbanization process in the Dongting Lake area, China

Xiong, Jianxin; Wang, Xinbin; Zhao, Di; Wang, Jing

doi:10.1016/j.ecoinf.2023.102071

Cited by 9 publications

(4 citation statements)

References 36 publications

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“…During this phase, urbanizationinduced land fragmentation(Liu et al 2017), ecological degradation(Li et al 2008), and industrialagricultural activities (L et al 2016) were paramount contributors. Notably, areas undergoing rapid urbanization, such as Da'an City and Tongyu County, were subjected to more severe degradation of their wetland ecosystems, an assertion that aligns with prior studies(Birch et al 2022;Fei et al 2016;Lin et al 2022;Mao et al 2018;Xiong et al 2023). Transitioning into the subsequent period from 2000 to 2018, climatic elements assumed a signi cant role in sculpting the transformations of western Jilin Province's petite and microscopic wetlands.…”

supporting

confidence: 73%

Spatiotemporal Variation of Small and Micro Wetlands and Their Multiple Responses to Driving Factors in the high-latitude region

Wang,

Sun,

et al. 2024

Preprint

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Understanding the long-term dynamics and driving factors of small and micro wetlands is crucial for their management and sustainable development. In this study, we utilized Landsat satellite imagery data from 1980 to 2018 and Geodetector Model to explore the spatiotemporal changes of small and micro wetlands in western Jilin Province, China, considering factors such as land use and climate change. The research findings are as follows. (1) The small and micro wetlands in the western Jilin Province have shown a downward trend in the past 40 years. The area of small and micro wetlands has decreased from 2802km2 in 1980 to 818 km2 in 2018, and the number has decreased from 2604 in 1980 to 337 in 2018. (2) From a spatial distribution perspective, the micro-wetlands initially exhibited a concentrated pattern but gradually dispersed around, demonstrating significant spatial heterogeneity., respectively. From a spatial distribution perspective, they are mainly distributed in Da'an City, accounting for 42% of the western Jilin province. (3) As time has unfolded, the dynamic evolution of small and micro wetlands has been distinctly influenced by an amalgam of natural environmental factors and human interventions. In particular, human-induced activities, notably agricultural expansion and urbanization processes, emerged as the predominant driving forces during the period from 1980 to 2000. However, while human activities continued to impart their influence, the roles of natural determinants such as precipitation have become progressively more apparent during the period from 2001 to 2018. Importantly, the influences exerted by human activities and natural environmental factors on these wetlands are not standalone; there is a marked interplay between them. This interaction, typically presents a nonlinear amplification among the varied influencing factors. The results of this study provide supportive data and scientific evidence for the ecological restoration and conservation of wetlands.

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supporting

confidence: 73%

Spatiotemporal Variation of Small and Micro Wetlands and Their Multiple Responses to Driving Factors in the high-latitude region

Wang,

Sun,

et al. 2024

Preprint

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“…Therefore, 8 indicators and 23 specific indicators were selected from three aspects, namely, land resources, water resources, and ecological resources, which constitute the resource carrying capacity evaluation index system, as shown in Table 2. Referring to the relevant literature at the domestic level and abroad [3,[18][19][20], according to the evaluation results of the land resources carrying index, water resources carrying index, and ecological resources carrying index, the resource carrying status is warnings, attention partitions, and dynamic monitoring grading, and the specific partitions and grading are shown in Table 3. Referring to previous studies [3,5], the land resource, water resource, and ecological carrying capacities were listed (Table 4).…”

Section: Resource Carrying Capacity Indicator Systemmentioning

confidence: 99%

“…The increasing depth of research has meant that resource carrying capacity has gradually changed from a classification to a synthesis, from qualitative to quantitative assessments, and from evaluating the current carrying capacity to developing monitoring and early warning strategies [3]. Some studies assess regions, resource carrying capacities, and monitoring and early warning systems [18]. Regarding the research scale, they focus on the national [19,20], basin [21,22], and urban agglomeration [23] levels.…”

Section: Introductionmentioning

confidence: 99%

A Study on Resource Carrying Capacity and Early Warning of Urban Agglomerations of the Yellow River Basin Based on Sustainable Development Goals, China

Bu,

Wang,

Wang

et al. 2023

Sustainability

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The Yellow River Basin is an essential ecological barrier in China, but it is relatively underdeveloped. The human–land relationship needs to be coordinated, and the ecological environment is fragile, which seriously restricts the sustainable development of the urban agglomeration in the Yellow River Basin. In this study, a “five-dimensional integrated” comprehensive carrying capacity evaluation model is constructed using the five dimensions of water, land, ecology, monitoring, and early warning to evaluate its resource carrying capacity quantitatively. It constructs an early warning system of the resource carrying capacity based on the quantitative evaluation results and monitors the state of the resource carrying capacity. The results show that (1) seven major urban agglomerations’ populations, grain productions, and land are surplus, and 50.85% of prefecture-level cities have food surpluses regarding human–food relationships. (2) There are shortages in the urban agglomeration’s water resources and a deficit in the water resource carrying capacity. (3) The average ecological carrying capacity index is 0.519, indicating a state of ecological affluence. (4) The comprehensive resource carrying capacity is defined as level-three heavy-load conditions, while 67%, 22%, and 14% of cities have level-one, -two, and -three heavy-load conditions, respectively. This study can aid in the monitoring of the resource carrying status of the Yellow River Basin. These results provide a scientific basis for effectively restraining the utilization and development of natural resources in the Yellow River Basin. It can also provide a research paradigm for the world’s river basins, as well as the sustainable development of man and nature in the world.

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“…[1]. Especially with the rapid advancement of industrialization and urbanization, in some areas, the natural environment and resources are being degraded [2][3][4]. In this context, ecotourism has developed rapidly [5].…”

Section: Introductionmentioning

confidence: 99%

Study on the Influence of Host–Guest Interaction on Tourists’ Pro-Environment Behavior: Evidence from Taishan National Forest Park in China

Lu,

Wang,

et al. 2024

Forests

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This study explores the influence of host–guest interaction on tourists’ pro-environment behavior. On the one hand, the experience attribute of host–guest interaction’s influence on tourists’ experiential value is sorted out. On the other hand, the relationship attribute of host–guest interaction’s activation effect on tourists’ personal norms is identified. Based on social exchange theory and normative activation theory, a structural equation model was established to depict the transmission mechanism from host–guest interaction to tourists’ pro-environment behavior. The data were collected from tourists in Taishan National Forest Park (n = 499). The results indicated that host–guest interaction quality activated tourists’ personal norms through consequence awareness, thus promoting tourists’ pro-environment behavior. Meanwhile, the quality of host–guest interaction positively influenced tourists’ pro-environment behavior through emotional experience value. Host–guest interaction quantity promoted tourists’ pro-environment behavior by activating personal norms through responsibility ascription. In addition, although frequent host–guest interactions can enhance the social experience and functional experience value of tourists, the latter two cannot stimulate tourists’ pro-environmental behavior. This study provides practical implications for promoting the sustainable development of national forest parks.

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Spatiotemporal evolution for early warning of ecological carrying capacity during the urbanization process in the Dongting Lake area, China

Cited by 9 publications

References 36 publications

Spatiotemporal Variation of Small and Micro Wetlands and Their Multiple Responses to Driving Factors in the high-latitude region

Spatiotemporal Variation of Small and Micro Wetlands and Their Multiple Responses to Driving Factors in the high-latitude region

A Study on Resource Carrying Capacity and Early Warning of Urban Agglomerations of the Yellow River Basin Based on Sustainable Development Goals, China

Study on the Influence of Host–Guest Interaction on Tourists’ Pro-Environment Behavior: Evidence from Taishan National Forest Park in China

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