Journal of Cleaner Production, Год журнала: 2024, Номер 466, С. 142796 - 142796
Опубликована: Июнь 4, 2024
Язык: Английский
Journal of Cleaner Production, Год журнала: 2024, Номер 466, С. 142796 - 142796
Опубликована: Июнь 4, 2024
Язык: Английский
Ecological Indicators, Год журнала: 2021, Номер 132, С. 108295 - 108295
Опубликована: Окт. 19, 2021
Evaluating the ecological security status of National Nature Reserve (NNR) has become a critical issue because NNR plays important roles in environmental protection and socio-economic sustainable development. This study employed Baishuijiang (BNNR) as an example to construct evaluation index system security, which was improved by adding society, economy environment characteristics into driving force, pressure, state, impact response modules, developing modified DPSIR model. In addition, Geo-detector used identify key factors mechanisms that affect BNNR. The results showed BNNR classified safe area unsafe area, with 46.95 % 53.05% total BNNR, respectively. mainly distributed central areas reserve, where from 0.329 0.370, whereas margins under 0.329. A identified per capita natural forest compensation funds, Engel’s coefficient, domestic waste treatment, adult illiteracy rate, annual household income, poverty incidence rate were factors, further interactions between social economic primary external force for These suggest model multi-dimensional perspective can be evaluate reveal mechanism, presents possible pattern NNR.
Язык: Английский
Процитировано
37Ocean & Coastal Management, Год журнала: 2022, Номер 230, С. 106370 - 106370
Опубликована: Сен. 22, 2022
Язык: Английский
Процитировано
24Applied Sciences, Год журнала: 2023, Номер 13(7), С. 4197 - 4197
Опубликована: Март 25, 2023
Ecological sensitivity is one of the important indicators regional ecological fragility, which can represent ecosystems to natural environmental conditions and human activity disturbances in region. In this study, land resources Tumen River Basin China was quantitatively evaluated by taking 3 ecologically sensitive impact types, including environment, disturbance, soil erosion, as evaluation criteria, 11 factors were selected build an system using analytic hierarchy process (AHP) method, determine weights factors, combined with geographic information (GIS) technology. The results show that: (1) Among three types influence disturbance most obvious, two use type distance from construction have highest comprehensive evaluation. (2) There are no extremely areas or insensitive China. Highly account for only 0.59% total area mainly concentrated lakes, rivers, reservoirs study area. Moderately 54.12%, central part Slightly located mountainous north south (3) various resource proportion slightly moderately woodland close (about 50%), while cultivated land, grassland, bare (73.95%, 82.07%, 96.59%, 78.78%), water bodies mostly distributed within highly (60.97%), all wetlands smallest sensitive. provide data support a scientific basis protection development planning.
Язык: Английский
Процитировано
13Ecological Indicators, Год журнала: 2024, Номер 162, С. 111965 - 111965
Опубликована: Апрель 12, 2024
Riverine wetland is one of the important cityscapes along rivers, featuring powerful eco-hydrological regulations in safeguarding urban security and serving its quality. Over past several decades, intensified climate change, together with upgraded human activities, have deeply disturbed riverine worldwide caused variations amount pattern, which might lead to negative effects on ecosystem health (WEH), thus threaten sustainability agglomerations. To better understand mechanism above effectiveness, Urban Agglomerations Yellow River China's Ningxia Hui Autonomous Region (RUAN) was taken as an example present study. First, by establishing object-oriented remote sensing image classification system based Classification Regression Tree (CART), distribution years 2000, 2009 2018 were determined for a two-Stage (ST-I: 2000–2009, ST-II: 2009–2018) comparative research. Second, transition matrix landscape index used measure spatiotemporal dynamics two stages. Third, Pressure-State-Response (P-S-R) model, system, constructed comprehensively assess WEH there. Results revealed that: (1) Wetlands RUAN are dominated artificial ones, presenting overall increase area during statistical period, varying different trends Conversion between wetlands non-wetlands found frequent urbanization, leading remarkable changes patterns space. (2) Rivers basic forming RUAN, natural increased period. In general, patches diversity increased, shapes that became homogenized. Accordingly, aggregation decreased fragmentation worsened. (3) most experienced external pressure deterioration state, showing degradation. Meanwhile, more fundamental state itself, disturbance seemed function less. Above findings confirmed vulnerability urbanization arid circumstance. It worthy strengthening protection existing minimizing or eliminating conversion, ensure serve
Язык: Английский
Процитировано
5Journal of Cleaner Production, Год журнала: 2024, Номер 466, С. 142796 - 142796
Опубликована: Июнь 4, 2024
Язык: Английский
Процитировано
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