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| 1 | Ecological vulnerability analysis of Beidagang National Park,China显示文摘Ecological vulnerability analysis (EVA) is vital for ecological protection,restoration,and management of wetland-type national parks.In this study,we assessed the ecological vulnerability of Beidagang National Park based upon remote sensing (RS) and geographic information system (GIS) technologies.To quantify the ecological vulnerability,10 indices were collected by the 'exposuresensitivity- adaptive capacity' model and spatial principal component analysis (SPCA) was then applied to calculate the ecological vulnerability degree (EVD).Based on the numerical values,EVD of the study area was classified into five levels: moderate,light,medium,strong,and extreme.Results showed that the average EVD value was approximately 0.39,indicating overall good ecological vulnerability in Beidagang National Park.To be specific,80.42% of the whole area was assigned to a moderate level of EVD with the highest being the tourism developed areas and the lowest being the reservoirs and offshore areas.Ecological vulnerability of the region was determined to be affected by the natural environment and anthropogenic disturbance jointly.The primary factors included tourism disturbance,traffic interference,exotic species invasion,land use/land cover,and soil salinization.We expected to provide some insights of the sustainable development of Beidagang National Park and would like to extend the results to other wetland-type national parks in the future. | Xue YU Yue LI Min XI Fanlong KONG Mingyue PANG Zhengda YU | 2019 | Frontiers of Earth Science2019，13，2： | 10 |
| 2 | Ecological vulnerability analysis of Tibetan towns with tourism-based economy: a case study of the Bayi District显示文摘This paper provides a generalizable mode for the ecological vulnerability evaluation for tourism planning and development in high mountain areas.The Bayi District located in southeastern Tibet is taken as a typical town to study the conflict between the protection of natural ecological environment and the exploitation of tourism resources. Based on the Sensitivity-Recovery-Pressure(SRP) framework, a set of vulnerability evaluation systems for plateau tourism regions were developed. The spatial principal component analysis(SPCA), remote sensing and GIS technologies were integrated to apply for spatial quantification of evaluation index system. The ecological vulnerability of the Bayi District was divided into five levels: potential, mild, moderate,severe, and extreme, and our results showed that significantly severe and extreme vulnerability areas were mainly distributed throughout the southwestern and central northern alpine pasture and glacial zones.Potential and mild vulnerability areas were mainly distributed in the vicinity of the Yarlung Zangbo River tributary basin. Then three tourism development and environmental protection zones were classified and appropriate measures for the protection were proposed. It also provides a reference for the spatial distribution of a range of areas that require different protection measures according to ecological vulnerability classification. | KAN Ai-ke LI Guo-qing YANG Xiao ZENG Ye-long TESREN Luobu HE Jie | 2018 | Journal of Mountain Science2018，15，5： | 7 |
| 3 | Human development, social vulnerability and COVID-19 in Brazil: a study of the social determinants of health显示文摘Background:Coronavirus disease 2019(COVID-19)was confirmed in Brazil in February 2020.Since then,the disease has spread throughout the country,reaching the poorest areas.This study analyzes the relationship between COVID-19 and the population's living conditions.We aimed to identifysocial determinants related to the incidence,mortality,and case fatality rate of COVID-19 in Brazil,in 2020.Methods:This is an ecological study evaluating the relationship between COVID-19 incidence,mortality,and case fatality rates and 49 social indicators of human development and social vulnerability.For the analysis,bivariate spatial correlation and multivariate and spatial regression models(spatial lag model and spatial error models)were used,considering a 95%confidence interval and a significance level of 5%.Results:A total of 44.8%of municipalities registered confirmed cases of COVID-19 and 14.7%had deaths.We observed that 56.2%of municipalities with confirmed cases had very low human development(COVID-19 incidence rate:59.00/100000;mortality rate:36.75/1000000),and 52.8%had very high vulnerability(COVID-19 incidence rate:41.68/100000;mortality rate:27.46/1000000).The regression model showed 17 indicators associated with transmission of COVID-19 in Brazil.Conclusions:Although COVID-19 first arrived in the most developed and least vulnerable municipalities in Brazil,it has already reached locations that are farther from large urban centers,whose populations are exposed to a context of intense social vulnerability.Based on these findings,it is necessary to adopt measures that take local social aspects into account in order to contain the pandemic. | Carlos Dornels Freire de Souza Michael Ferreira Machado Rodrigo Feliciano do Carmo | 2020 | Infectious Diseases of Poverty2020，9，4： | 0 |
| 4 | Analysis of Ecological Vulnerability of Grassland in Yushu of China Based on Landscape Pattern显示文摘[Purpose] It aims to study the situation of ecological vulnerability of grassland in Yushu.[Methods] Based on the field survey sampling spots on grassland of Yushu,interpretation has been conducted on grassland types on TM remote sensing image,and grassland degradation degree has been qualified.By using landscape indexes,ecological vulnerability analysis has been conducted on seven landscape types of natural grassland.[Result] The comprehensive index of ecological vulnerability of Yushu grassland is low,and moderately vulnerable area and above have taken up 99.91% of the total area.[Conclusion] Ecological vulnerability has been the largest hidden danger threatening ecological security of grasslands in the test area. | CHUN Mei(Grassland Station of Nangqian,Nangqian,Qinghai 815200,China) | 2012 | Journal of Landscape Research2012，4，7： | 0 |
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