Christa Rohrbach, Gudrun Wallentin, Jovana Bila Dubaić, Julia Lanner
{"title":"利用顺序最低成本模型揭示多重引入:入侵野生蜜蜂物种的案例研究。","authors":"Christa Rohrbach, Gudrun Wallentin, Jovana Bila Dubaić, Julia Lanner","doi":"10.1007/s10980-025-02188-9","DOIUrl":null,"url":null,"abstract":"<p><strong>Context: </strong>Invasive species pose a significant threat to biodiversity, creating a need for accurate methods to assess their spread. Although multiple introductions are common, estimates of expansion rates often assume a single introduction site due to limited knowledge of population structure.</p><p><strong>Objectives: </strong>This multidisciplinary study aimed to develop a novel spatio-temporal approach to delineate potential populations without prior knowledge of population structure. We applied this approach to the Sculptured Resin Bee, Europe's first non-native bee species, providing regional expansion rate estimates for its spread across Europe.</p><p><strong>Methods: </strong>Observation data from 2008 to 2024 were analysed. Based on an environmental suitability map, sequential least-cost modelling was applied in annual time steps, linking each new observation to the nearest known observation via a least-cost path. Populations were delineated by excluding high-cost paths and analysing the connectivity of the remaining paths, and expansion rates were calculated using the distance regression method.</p><p><strong>Results: </strong>We identified two populations, which align with known genetic groups in the area of France, Switzerland and Austria. Our modelling results also indicate two additional populations introduced to Italy and Serbia. Expansion rates ranged from 13.3 km/year to 58.6 km/year and peaked at 89.7 km/year during expansion phases, exhibiting a consistent sigmoidal expansion pattern.</p><p><strong>Conclusions: </strong>Our spatio-temporal approach delineates introduced populations without prior genetic knowledge, improving expansion rate estimation and informing targeted genetic sampling, monitoring, and management efforts of invasive species.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s10980-025-02188-9.</p>","PeriodicalId":54745,"journal":{"name":"Landscape Ecology","volume":"40 8","pages":"177"},"PeriodicalIF":3.7000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12350438/pdf/","citationCount":"0","resultStr":"{\"title\":\"Leveraging sequential least-cost modelling to uncover multiple introductions: a case study of an invasive wild bee species.\",\"authors\":\"Christa Rohrbach, Gudrun Wallentin, Jovana Bila Dubaić, Julia Lanner\",\"doi\":\"10.1007/s10980-025-02188-9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Context: </strong>Invasive species pose a significant threat to biodiversity, creating a need for accurate methods to assess their spread. Although multiple introductions are common, estimates of expansion rates often assume a single introduction site due to limited knowledge of population structure.</p><p><strong>Objectives: </strong>This multidisciplinary study aimed to develop a novel spatio-temporal approach to delineate potential populations without prior knowledge of population structure. We applied this approach to the Sculptured Resin Bee, Europe's first non-native bee species, providing regional expansion rate estimates for its spread across Europe.</p><p><strong>Methods: </strong>Observation data from 2008 to 2024 were analysed. Based on an environmental suitability map, sequential least-cost modelling was applied in annual time steps, linking each new observation to the nearest known observation via a least-cost path. Populations were delineated by excluding high-cost paths and analysing the connectivity of the remaining paths, and expansion rates were calculated using the distance regression method.</p><p><strong>Results: </strong>We identified two populations, which align with known genetic groups in the area of France, Switzerland and Austria. Our modelling results also indicate two additional populations introduced to Italy and Serbia. Expansion rates ranged from 13.3 km/year to 58.6 km/year and peaked at 89.7 km/year during expansion phases, exhibiting a consistent sigmoidal expansion pattern.</p><p><strong>Conclusions: </strong>Our spatio-temporal approach delineates introduced populations without prior genetic knowledge, improving expansion rate estimation and informing targeted genetic sampling, monitoring, and management efforts of invasive species.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s10980-025-02188-9.</p>\",\"PeriodicalId\":54745,\"journal\":{\"name\":\"Landscape Ecology\",\"volume\":\"40 8\",\"pages\":\"177\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2025-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12350438/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Landscape Ecology\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://doi.org/10.1007/s10980-025-02188-9\",\"RegionNum\":2,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/8/14 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"ECOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Landscape Ecology","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1007/s10980-025-02188-9","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/8/14 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ECOLOGY","Score":null,"Total":0}
Leveraging sequential least-cost modelling to uncover multiple introductions: a case study of an invasive wild bee species.
Context: Invasive species pose a significant threat to biodiversity, creating a need for accurate methods to assess their spread. Although multiple introductions are common, estimates of expansion rates often assume a single introduction site due to limited knowledge of population structure.
Objectives: This multidisciplinary study aimed to develop a novel spatio-temporal approach to delineate potential populations without prior knowledge of population structure. We applied this approach to the Sculptured Resin Bee, Europe's first non-native bee species, providing regional expansion rate estimates for its spread across Europe.
Methods: Observation data from 2008 to 2024 were analysed. Based on an environmental suitability map, sequential least-cost modelling was applied in annual time steps, linking each new observation to the nearest known observation via a least-cost path. Populations were delineated by excluding high-cost paths and analysing the connectivity of the remaining paths, and expansion rates were calculated using the distance regression method.
Results: We identified two populations, which align with known genetic groups in the area of France, Switzerland and Austria. Our modelling results also indicate two additional populations introduced to Italy and Serbia. Expansion rates ranged from 13.3 km/year to 58.6 km/year and peaked at 89.7 km/year during expansion phases, exhibiting a consistent sigmoidal expansion pattern.
Conclusions: Our spatio-temporal approach delineates introduced populations without prior genetic knowledge, improving expansion rate estimation and informing targeted genetic sampling, monitoring, and management efforts of invasive species.
Supplementary information: The online version contains supplementary material available at 10.1007/s10980-025-02188-9.
期刊介绍:
Landscape Ecology is the flagship journal of a well-established and rapidly developing interdisciplinary science that focuses explicitly on the ecological understanding of spatial heterogeneity. Landscape Ecology draws together expertise from both biophysical and socioeconomic sciences to explore basic and applied research questions concerning the ecology, conservation, management, design/planning, and sustainability of landscapes as coupled human-environment systems. Landscape ecology studies are characterized by spatially explicit methods in which spatial attributes and arrangements of landscape elements are directly analyzed and related to ecological processes.