Integrating multisource data for recreational ecological risk assessment in populous national park: A case study from Qianjiangyuan, China
文献类型：期刊论文
| 作者 | Zhou, Bin3,4; Qiao, Huitong3; Yu, Hu4; Xiao, Lianlian1; Tan, Xueling2; Lou, Bingyu3 |
| 刊名 | ECOLOGICAL INDICATORS
 |
| 出版日期 | 2025-09-01 |
| 卷号 | 178页码:114089 |
| 关键词 | Recreational ecological risk (RER) Anthropogenic pressures Multi-source hybrid model Qianjiangyuan National Park (QJYNP) |
| ISSN号 | 1470-160X |
| DOI | 10.1016/j.ecolind.2025.114089 |
| 产权排序 | 2 |
| 文献子类 | Article |
| 英文摘要 | The burgeoning tension between anthropogenic pressures and ecological conservation in rapidly developing nations underscores the critical need for innovative frameworks to assess recreational ecological risk (RER) within national park systems. This study pioneers an analytical framework that synthesizes multi-source data streams, encompassing statistical analyses, remote sensing imagery, questionnaires, and interviews to advance ecological risk assessment theory beyond conventional methodologies. Through a novel hybrid model operationalizing the source, receptor and response, we systematically evaluate RER in Qianjiangyuan National Park (QJYNP). The results show that high-risk areas for recreational utilization zones are closely tied to human activities and are mainly located along transportation routes, residential areas, and designated recreational sites, accounting for 11.61% of the total area. Low-risk areas appear as strips or patches surrounding both the core protected zones and medium-to-high-risk regions. This indicates that even in densely populated settings, RER in national parks have strong spatial correlations with human activities. While large-scale conservation efforts are ongoing, it is essential to anticipate potential impacts from residents' lifestyles and recreation pursuits effectively, such foresight will not hinder achieving ecological protection objectives for these parks. The proposed framework offers transformative potential for adaptive governance in Global South protected areas, providing a scalable methodology to reconcile biodiversity conservation with sustainable human use under escalating anthropogenic pressures. |
| URL标识 | 查看原文 |
| WOS关键词 | IMPACT |
| WOS研究方向 | Biodiversity & Conservation ; Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:001567695700005 |
| 出版者 | ELSEVIER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/216106]  |
| 专题 | 区域可持续发展分析与模拟院重点实验室_外文论文 |
| 通讯作者 | Yu, Hu |
| 作者单位 | 1.China Womens Univ, Beijing, Peoples R China; 2.Minzu Univ China, Beijing, Peoples R China 3.Ningbo Univ, Dept Human Geog & Urban Rural Planning, Donghai Acad, Ningbo, Peoples R China; 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Zhou, Bin,Qiao, Huitong,Yu, Hu,et al. Integrating multisource data for recreational ecological risk assessment in populous national park: A case study from Qianjiangyuan, China[J]. ECOLOGICAL INDICATORS,2025,178:114089. |
| APA | Zhou, Bin,Qiao, Huitong,Yu, Hu,Xiao, Lianlian,Tan, Xueling,&Lou, Bingyu.(2025).Integrating multisource data for recreational ecological risk assessment in populous national park: A case study from Qianjiangyuan, China.ECOLOGICAL INDICATORS,178,114089. |
| MLA | Zhou, Bin,et al."Integrating multisource data for recreational ecological risk assessment in populous national park: A case study from Qianjiangyuan, China".ECOLOGICAL INDICATORS 178(2025):114089. |
入库方式： OAI收割
来源：地理科学与资源研究所
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