文献类型：期刊文献

英文题名：Study on the influence of landscape pattern on the spread of pine wilt disease from a multi-scale perspective

作者：Lv, Yimeng[1];Huang, Jixia[1,2,3];Fang, Guofei[4];Wu, Jin[5];Yin, Yuanyuan[6];Zhou, Yantao[4];Zhao, Chong[1]

第一作者：Lv, Yimeng

通讯作者：Huang, JX[1];Fang, GF[2]

机构：[1]Beijing Forestry Univ, State Key Lab Efficient Prod Forest Resources, Beijing 100083, Peoples R China;[2]Acad Plateau Sci & Sustainabil, Peoples Govt Qinghai Prov, Xining 810008, Peoples R China;[3]Beijing Normal Univ, Xining 810008, Peoples R China;[4]Natl Forestry & Grassland Adm, Key Lab Natl Forestry & Grassland Adm Forest & Gra, Ctr Biol Disaster Prevent & Control, Shenyang 110034, Peoples R China;[5]Univ Hong Kong, Sch Biol Sci, Res Area Ecol & Biodivers, Hong Kong, Peoples R China;[6]Beijing Union Univ, Teachers Coll, Beijing 100011, Peoples R China

第一机构：Beijing Forestry Univ, State Key Lab Efficient Prod Forest Resources, Beijing 100083, Peoples R China

通讯机构：[1]corresponding author), Beijing Forestry Univ, State Key Lab Efficient Prod Forest Resources, Beijing 100083, Peoples R China;[2]corresponding author), Natl Forestry & Grassland Adm, Key Lab Natl Forestry & Grassland Adm Forest & Gra, Ctr Biol Disaster Prevent & Control, Shenyang 110034, Peoples R China.

年份：2024

卷号：568

外文期刊名：FOREST ECOLOGY AND MANAGEMENT

收录：;EI(收录号：20242816693404);Scopus(收录号：2-s2.0-85198134329);WOS:【SCI-EXPANDED(收录号:WOS:001271037000001)】；

基金：This work was supported by National Key Research and Develop-ment Program of China [grant number 2019YFA0606600], The Strategic Priority Research Program of the Chinese Academy of Sciences [XDA23100400] , The Innovation and Technology Fund (funding support to State Key Laboratories in Hong Kong of Agrobiotechnology) of the HKSAR, China.

语种：英文

外文关键词：Pine wilt disease; Multi-scale; Landscape pattern; Geographical detector; Nonlinear enhancement

摘要：Since the introduction of pine wilt disease (PWD) into Chongqing, China, it has been continuously spreading, posing a significant threat to the local forest ecosystem dominated by pine forests. Utilizing data spanning the last two decades on the PWD epidemic subcompartment and host coniferous forest in Chongqing, this study employs a geographic detector model to scrutinize the impact of forest landscape patterns on PWD dissemination at the county, township, and 1 km grid scales. The findings reveal three distinct stages of the PWD epidemic in Chongqing from 2001 to 2020: diffusion, stabilization, and outbreak. The western and central regions of Chongqing experienced severe impacts, while the southern part exhibited relatively milder effects. Across the three spatial scales, various landscape pattern indices exhibit robust and consistent impacts on PWD occurrence. Notably, patch area emerges as the most influential factor, with an explanatory power reaching 0.228. Additionally, landscape shape index, number of patches, patch density, river and road exert substantial influence on PWD incidence. Conversely, the impact of edge density, landscape dominance, landscape separation, and landscape fragmentation on PWD occurrence is comparatively weak. Moreover, the interaction of different landscape pattern factors nonlinearly enhances the explanatory power of PWD occurrence. Among these interactions, the synergy between patch area and landscape dominance proves to have the highest explanatory power for the spatial differentiation of PWD at 0.718. This study explores the relationship between the invasion and spread of PWD and landscape patterns, offering useful insights for the prevention and early warning of PWD. Additionally, this research provides valuable reference points for promoting the healthy and sustainable development of forest resources in China.