Identifying spatial similarities and mismatches between supply and demand of ecosystem services for sustainable Northeast China

Xiang, Hengxing; Jian, Zhang; Mao, Dehua; Wang, Zongming; Qiu, Zhiqiang; Yan, Hengqi

doi:10.1016/j.ecolind.2021.108501

Cited by 60 publications

(26 citation statements)

References 44 publications

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“…First, associated industries. The spatial distribution and target customers of the bath industry and the restaurant, accommodation, shopping, and entertainment industries have certain similarities and synergies (Xiang et al, 2022 ). The bathing industry tends to be located in areas with good development of related industries such as restaurants, accommodation, shopping and entertainment.…”

Section: Resultsmentioning

confidence: 99%

Uncovering the spatiotemporal evolution of the service industry based on geo-big-data- a case study on the bath industry in China

Zhao

Xue

2023

Comput.Urban Sci.

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The bath industry has multiple attributes, such as economic, health, and cultural communication. Therefore, exploring this industry's spatial pattern evolution is crucial to forming a healthy and balanced development model. Based on POI (Points of Interest) and population migration data, this paper uses spatial statistics and radial basis function neural network to explore the spatial pattern evolution and influencing factors of the bath industry in mainland China. The results show that: (1) The bath industry presents a strong development pattern in the north, south-northeast, and east-northwest regions and weak development in the rest of the country. As a result, the spatial development of new bath space is more malleable. (2) The input of bathing culture has a guiding role in developing the bath industry. The growth of market demand and related industries has a specific influence on the development of the bath industry. (3) Improving the bath industry's adaptability, integration, and service level are feasible to ensure healthy and balanced development. (4) Bathhouses should improve their service system and risk management control during the pandemic.

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Section: Resultsmentioning

confidence: 99%

Uncovering the spatiotemporal evolution of the service industry based on geo-big-data- a case study on the bath industry in China

Zhao

Xue

2023

Comput.Urban Sci.

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“…Therefore, the research on the supply and demand of ecosystem services needs to consider different time dimensions and spatial scales. At present, a large amount of ecosystem services monitoring work has been conducted worldwide and has played a strategic guiding role in the research on the supply and demand of ecosystem services; however, these works have not reached ideal results in resource protection [ 91 ]. This is mainly because the ecosystem corresponding to the global scale is complex, and the response cycle is long when it is disturbed by the external environment [ 92 ].…”

Section: Discussionmentioning

confidence: 99%

Spatiotemporal Differentiation and Balance Pattern of Ecosystem Service Supply and Demand in the Yangtze River Economic Belt

Zhao

Xiao

Qian

et al. 2022

IJERPH

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Analyzing the supply and demand of ecosystem services and the regional balance pattern is an important basis for improving the ecological management level. Taking the Yangtze River economic belt as the study area, the spatiotemporal characteristics and balance pattern of ecosystem service supply and demand are quantitatively revealed based on equivalent factors, supply and demand balance modeling and quantile regression. The results show that: (1) the ecosystem services value in the research area experienced a change process of “increase–decrease–increase” from 2000 to 2020. The ecological service value of cultivated land and grassland presented a continuous decline, with decreases of 20.446 billion and 4.53 billion yuan, respectively, in the past 20 years, with reduction rates of −4.82% and −3.98%, respectively. (2) The demand for ecosystem services showed an unbalanced and phased growth trend. The total demand for ecosystem services showed heterogeneity and agglomeration effects in space. High demand and higher demand areas are mainly distributed in the regions with relatively developed population and economy, including Yangtze River Delta urban agglomeration, “Changsha–Zhuzhou–Xiangtan” urban agglomeration, Poyang Lake Plain, Jianghan Plain and Chengdu Plain. (3) The overall pattern of the supply–demand balance of ecosystem services has changed little; however, there have also been significant changes in certain areas in individual years.

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“…“BAU-Insectv2” denotes a scientific and regional version of a dataset and project concentrating on employing deep learning methodologies for analyzing images of plant insects. This initiative might involve utilizing advanced algorithms to process and comprehend visual data, aiming to enhance insect detection, classification, or other relevant aspects in the context of plant health [5] and ecosystem management [6] . Fig.…”

Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

BAU-Insectv2: An agricultural plant insect dataset for deep learning and biomedical image analysis

Salehin,

Khan,

Habiba

et al. 2024

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Identifying spatial similarities and mismatches between supply and demand of ecosystem services for sustainable Northeast China

Cited by 60 publications

References 44 publications

Uncovering the spatiotemporal evolution of the service industry based on geo-big-data- a case study on the bath industry in China

Uncovering the spatiotemporal evolution of the service industry based on geo-big-data- a case study on the bath industry in China

Spatiotemporal Differentiation and Balance Pattern of Ecosystem Service Supply and Demand in the Yangtze River Economic Belt

BAU-Insectv2: An agricultural plant insect dataset for deep learning and biomedical image analysis

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