Evaluation of the Ecological Environment Quality of the Kuye River Source Basin Using the Remote Sensing Ecological Index

Liu, Qiang; Yu, Feihong; Mu, Xingmin

doi:10.3390/ijerph191912500

Cited by 15 publications

(9 citation statements)

References 38 publications

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“…The RSEI is an index that evaluates the ecological environment by integrating wetness, greenness, heat, and dryness [48]. Due to the differences in numerical units and magnitudes among these components, it is necessary to normalize the data before integration to remove unit discrepancies.…”

Section: Construction Of the Rseimentioning

confidence: 99%

Urban Ecological Quality Assessment Based on Google Earth Engine and Driving Factors Analysis: A Case Study of Wuhan City, China

Zhang,

et al. 2024

Sustainability

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Ecological quality is a critical factor affecting the livability of urban areas. Remote sensing technology enables the rapid assessment of ecological quality (EQ), providing scientific theoretical support for the maintenance and management of urban ecology. This paper evaluates and analyzes the EQ and its driving factors in the city of Wuhan using remote sensing data from five periods: 2001, 2006, 2011, 2016, and 2021, supported by the Google Earth Engine (GEE) platform. By employing principal component analysis, a Remote Sensing Ecological Index (RSEI) was constructed to assess the spatiotemporal differences of EQ in Wuhan City. Furthermore, the study utilized the optimal parameter-based geographical detector model to analyze the influence of factors such as elevation, slope, aspect, population density, greenness, wetness, dryness, and heat on the RSEI value in 2021 and further explored the impact of changes in precipitation and temperature on the EQ in Wuhan. The results indicate that (1) principal component analysis shows that greenness and wetness positively affect Wuhan’s EQ, while dryness and heat have negative impacts; (2) spatiotemporal analysis reveals that from 2001 to 2021, the EQ in Wuhan showed a trend of initial decline followed by improvement, with the classification grades evolving from poor and average to good and better; (3) the analysis of driving factors shows that all nine indicators have a certain impact on the EQ in Wuhan, with the influence ranking as NDVI > NDBSI > LST > WET > elevation > population density > GDP > slope > aspect; (4) the annual average temperature and precipitation in Wuhan have a non-significant impact on the EQ. The EQ in Wuhan has improved in recent years, but comprehensive management still requires enhancement.

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Section: Construction Of the Rseimentioning

confidence: 99%

Urban Ecological Quality Assessment Based on Google Earth Engine and Driving Factors Analysis: A Case Study of Wuhan City, China

Zhang,

et al. 2024

Sustainability

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“…Based on the EcoGenderDynamics Model, this paper considered two levels of Biological Interactions and Intrinsic Characteristics in this ecosystem, from which three indicators are selected as the basis for evaluating the dominance and weakness of the populations [24], as shown in Figure 6. Changing the sex ratio of the population, the values of each indicator are analyzed hierarchically to obtain the final scores and compare.…”

Section: Eco Evaluation Systemmentioning

confidence: 99%

Quantitative Analysis of the Impact of Sex Ratio Bias on Ecosystems: The Case of the Sea Lamprey

Zhang,

Xiong,

Nan

et al. 2024

HSET

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In recent years, the widely distributed invasive parasitic species, sea lamprey, through its unique sex-influenced reproductive strategy, has had far-reaching impacts on host populations and aquatic ecosystems, highlighting the importance of species interactions in ecosystems and their importance to ecological balance. To address this, an EcoGenderDynamics model was developed to analyze the ecosystem effects of deviations in the sex ratio of sea lamprey populations. This study simulated the dynamic evolutionary pattern, as a result, the expression of the function of sex ratio and resource availability, and when the average resource availability was lower than 83% of the satiation level of each sea lamprey, the percentage of male lamprey increased significantly, gradually increasing from an initial 52% to 76.4%, and then slowly increasing and stabilizing. Also, a comprehensive assessment system was established to comprehensively evaluate the specific impact indicators of the sex ratio of the lamprey in the ecosystem. The results showed that in the case of insufficient resources, the population could improve its stability through the mechanism of adjusting the sex ratio, thus achieving a certain balance with the environment through a certain degree of showing weakness, indicating the importance of the ability to change the sex ratio for the survival of the population.

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“…For the calculation of RSEI, considering that there are more water bodies in the study area will cause the results to be imaged, firstly, the MNDWI index [30,31] needs to be used to extract the water body threshold for water body masking, then the four indices of NDVI, LST, WET, and NDBSI are calculated and normalized separately (Equation ( 4)), and finally, Principal Component Analysis (PCA) is used Analysis (PCA) [32]was used to analyze the normalized indices and weighted the calculation using the first component as the weight of each index (Equation ( 5)). In order to better reflect the ecological health of Fujian Province using the RSEI indicators as well as for spatial analysis, the RSEI was divided into five grades: worst (0-0.2), poor (0.2-0.4), fair (0.4-0.6), good (0.6-0.8) and good (0.8-1) with reference to the ecological environment grading criteria in the Technical Specification for Ecological Evaluation, as shown in Table 1.…”

Section: Rsei Calculationsmentioning

confidence: 99%

Analysis of the Coupled Assessment of Ecosystem Health and Its Spatial and Temporal Evolution in Fujian China

Cao¹,

Tang²,

Wang³

et al. 2023

Preprint

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As the first pilot ecological civilization zone in China, Fujian Province has an excellent ecological environment quality, and its ecological environment-related indices continue to be among the highest in the country. In order to investigate the causes of the excellent ecological quality in Fujian Province in the past 15 years, this paper selects MODIS images, land use data and provincial and municipal statistical yearbook data of Fujian province from 2005 to 2020 as data sources, evaluates the ecological system health of Fujian Province by remote-sensing ecological index (i.e. RSEI), constructs the land use intensity system of Fujian Province at the same time, and uses a coupled coordination model to analyze the coupling between RSEI and The coupled coordination model was used to analyze the coupling relationship between RSEI and land use intensity, and finally the spatial and temporal evolution of ecological health in Fujian Province from 2005 to 2020 was analyzed. The results show that the coupled coordination between land use intensity and ecosystem health in Fujian province showed a continuous increase between 2005 and 2020, especially in Ningde, where the increase was most significant, from 0.0993 to 0.963, this pattern of spatial distribution is lower in the south-eastern coastal region than in the north-western interior, higher in the south-western region than in the north-western region, and higher in the north-eastern region than in the south-eastern region. In terms of the type of role, the land use intensity of most cities in Fujian Province in 2005 played an obvious role in blocking the degree of ecosystem health, but as time changed, urban land use continued to be optimized and reached moderate or even high quality coordination with the quality of the ecological environment, but Xiamen City developed relatively slowly and its 2020 coupling degree value was 0.315, which was still in mild disorder. This study fills a gap in the research mechanism of the interaction between the degree of ecosystem health and land use intensity, and also provides a new perspective for the construction of ecological civilization and the assessment of the degree of ecosystem health in Fujian Province and the whole country.

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Evaluation of the Ecological Environment Quality of the Kuye River Source Basin Using the Remote Sensing Ecological Index

Cited by 15 publications

References 38 publications

Urban Ecological Quality Assessment Based on Google Earth Engine and Driving Factors Analysis: A Case Study of Wuhan City, China

Urban Ecological Quality Assessment Based on Google Earth Engine and Driving Factors Analysis: A Case Study of Wuhan City, China

Quantitative Analysis of the Impact of Sex Ratio Bias on Ecosystems: The Case of the Sea Lamprey

Analysis of the Coupled Assessment of Ecosystem Health and Its Spatial and Temporal Evolution in Fujian China

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