An evaluation framework for urban ecological compensation priority in China based on meta-analysis and fuzzy comprehensive evaluation

Zhong, Jialong; Li, Zhigang; Zhang, Dong; Yang, Jie; Zhu, Jiaxing

doi:10.1016/j.ecolind.2023.111284

Cited by 3 publications

(2 citation statements)

References 56 publications

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“…Traditional cropland sustainability evaluation methods tend to over-rely on groundmeasured soil data, a process that is time-consuming and labor-intensive and is not suitable for a regional scale [32,60]. Remote sensing technology can improve the efficiency and accuracy of cropland sustainability assessment, especially at large regional scales [17].…”

Section: Cropland Sustainability In Different Prefecture-level Regionsmentioning

confidence: 99%

“…At present, the evaluation methods for cropland sustainability include comprehensive index methods [10,17], pressure-state-response frameworks [27,28], remote sensing-based models [29][30][31], and fuzzy comprehensive evaluation models [32]. The comprehensive index method can evaluate cropland sustainability using multiple factors, and it is convenient to calculate and has strong applicability; however, it is easily affected by subjective factors [16].…”

Section: Introductionmentioning

confidence: 99%

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A Remote Sensing Approach to Estimating Cropland Sustainability in the Lateritic Red Soil Region of China

Duan,

Sun,

Wang

et al. 2024

Remote Sensing

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Spatiotemporal assessment and a comprehensive understanding of cropland sustainability are prerequisites for ensuring food security and promoting sustainable development. However, a remote sensing-based approach framework that is suitable for large-scale and high-precision assessment and can reflect the overall sustainability of cropland has not yet been developed. This study considered a typical lateritic red soil region of Guangdong Province, China, as an example. Cropland sustainability was examined from three aspects: natural capacity, management level, and food productivity. Ten typical indicators, including soil organic matter, pH, irrigation guarantee capability, multiple cropping index, and food productivity, among others, were constructed using remote sensing technology and selected to represent these three aspects. Based on the indicator system, we assessed the spatiotemporal patterns of cropland sustainability from 2010 to 2020. The results showed that the natural capacity, management level, and food productivity of cropland had improved over the 10 years. The cropland sustainability score increased from 67.95 to 69.08 over this period. The sustainability scores for 68.64% of cropland were increased and were largely distributed in the eastern and western region of the study area. The croplands with declining sustainability scores were mostly distributed in the central region. The prefecture-level regions differed in cropland sustainability, with Zhongshan, Zhuhai, and Qingyuan cities exhibiting the highest values, and Zhanjiang the lowest. Exploring the underlying mechanisms of cropland sustainability and proposing improvement measures can guide decision-making, cropland protection, and efficient utilization, especially in similar lateritic red soil regions of the world.

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Section: Cropland Sustainability In Different Prefecture-level Regionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Remote Sensing Approach to Estimating Cropland Sustainability in the Lateritic Red Soil Region of China

Duan,

Sun,

Wang

et al. 2024

Remote Sensing

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Evaluating the suitability of ecological restoration techniques in distinct ecoregions along the China-Nepal Highway

Li,

et al. 2024

Ecological Indicators

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Acoustic assessment in urban residential environments: A GINI-OOB approach

Zhang,

Tang,

Cen

2024

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Urban sustainable development faces significant challenges, with low Resident Value Perception (RVP) acting as a major barrier to the rapid growth and sustainability of cities. This study aims to identify the key factors influencing RVP and assess their impacts, focusing on Wuhan as the case study. An RVP indicator system is developed, integrating three dimensions, and the Fuzzy Comprehensive Evaluation-Attribute Hierarchy Model (FCE-AHM) method is employed to calculate the RVP index. Additionally, a novel GINI-out-of-bag (GINI-OOB) coupling assessment method is introduced to determine the influence of each indicator, using data from Wuhan’s 2022 social satisfaction survey in China. Special emphasis is placed on the relationship between these factors and the acoustic environment. The research findings highlight the following: (1) The proposed methodology effectively identifies the key factors influencing residents’ value perceptions and quantifies their levels of influence; (2) Hospital waiting times, housing price acceptability, and parking management emerge as the top three factors affecting residents’ value perception, with a combined GINI-OOB index score of 0.4914. Notably, parking management has a significant influence, directly exacerbating traffic noise issues. These factors collectively impact the acoustic environment, thereby influencing residents’ quality of life and overall satisfaction. This study introduces an innovative theoretical framework for evaluating urban sustainability, offering valuable insights for enhancing the assessment of residents’ value perceptions and supporting policy recommendations aimed at optimizing urban acoustic environments.

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An evaluation framework for urban ecological compensation priority in China based on meta-analysis and fuzzy comprehensive evaluation

Cited by 3 publications

References 56 publications

A Remote Sensing Approach to Estimating Cropland Sustainability in the Lateritic Red Soil Region of China

A Remote Sensing Approach to Estimating Cropland Sustainability in the Lateritic Red Soil Region of China

Evaluating the suitability of ecological restoration techniques in distinct ecoregions along the China-Nepal Highway

Acoustic assessment in urban residential environments: A GINI-OOB approach

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