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DOI | 10.1016/j.foreco.2018.10.065 |
Different environmental drivers of alien tree invasion affect different life-stages and operate at different spatial scales | |
Vicente J.R.; Kueffer C.; Richardson D.M.; Vaz A.S.; Cabral J.A.; Hui C.; Araújo M.B.; Kühn I.; Kull C.A.; Verburg P.H.; Marchante E.; Honrado J.P. | |
发表日期 | 2019 |
ISSN | 0378-1127 |
起始页码 | 263 |
结束页码 | 275 |
卷号 | 433 |
英文摘要 | Identifying the key factors driving invasion processes is crucial for designing and implementing appropriate management strategies. In fact, the importance of (model-based) prevention and early detection was highlighted in the recent European Union regulation on Invasive Alien Species. Models based on abundance estimates for different age/size classes would represent a significant improvement relative to the more usual models based only on species’ occurrence data. Here, we evaluate the relative contribution of different environmental drivers to the spatial patterns of abundance of several height classes (or life-stages) of invasive tree populations at the regional scale, using a data-driven hierarchical modelling approach. A framework for modelling life-stages to obtain spatial projections of their potential occurrence or abundance has not been formalized before. We used Acacia dealbata (Silver-wattle) as a test species in northwest of Portugal, a heavily invaded region, and applied a multimodel inference to test the importance of various environmental drivers in explaining the abundance patterns of five plant height classes in local landscape mosaics. The ensemble of height classes is considered here as a proxy for population dynamics, life-stages and age of adult trees. In this test with A. dealbata, we used detailed field data on population height structure and calibrated an independent model for each height class. We found evidence to support our hypothesis that the distribution of height classes is mostly influenced by distinct factors operating at different scales. The spatial projections which resulted from several height class models provide an overview of population structure and invasion dynamics considering various life-stages, that is widely used in biodiversity and invasion research. The approach proposed here provides a framework to guide forest management to deal more effectively with plant invasions. It allows to test the effects of key invasion factors (depending on the focal species and on data availability) and supports the spatial identification of suitable areas for invasive species’ occurrence while also accounting for the structural complexity of invasive species populations, thereby anticipating future invasion dynamics. The approach thus constitutes a step forward for establishing management actions at appropriate spatial scales and for focusing on earlier stages of invasion and their respective driving factors (regeneration niche), thereby enhancing the efficiency of control actions on major forest invaders. © 2018 Elsevier B.V. |
英文关键词 | Acacia dealbata; Biological invasions; Environmental factors; Multimodel inference; Scale-dependence |
语种 | 英语 |
scopus关键词 | Biodiversity; Dynamics; Plants (botany); Reforestation; Acacia dealbata; Biological invasion; Environmental factors; Multi-model inference; Scale dependence; Population statistics; abundance estimation; age class; biological invasion; deciduous tree; environmental factor; European Union; forest management; introduced species; invasive species; population dynamics; population structure; size; spatial distribution; Acacia Dealbata; Biodiversity; Data; Dynamics; Height; Life; Reforestation; Test Methods; Portugal; Acacia dealbata |
来源期刊 | Forest Ecology and Management
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/156284 |
作者单位 | InBIO – Rede de Investigação em Biodiversidade e Biologia Evolutiva/CIBIO – Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, 4485-601 Vairão, Portugal; Faculdade de Ciências da Universidade do Porto, Porto, Portugal; Laboratory of Applied Ecology, Centre for the Research and Technology of Agro-Environment and Biological Sciences, University of Trás-os-Montes and Alto Douro, Vila Real, Portugal; Institute of Integrative Biology, ETH Zurich, Universitätsstrasse 16, Zurich, CH-8092, Switzerland; Centre for Invasion Biology, Department of Botany and Zoology, Stellenbosch University, Matieland 7602, South Africa; Centre for Invasion Biology, Department of Mathematical Sciences, Stellenbosch University, Matieland 7602, South Africa; Theoretical Ecology Group, African Institute for Mathematical Sciences, Cape Town, 7945, South Africa; Museo Nacional de Ciencias Naturales, CSIC, Calle Jose Gutierrez Abascal, 2, Madrid, 28006, Spain; Centro de Investigação em Biodiversidade e R... |
推荐引用方式 GB/T 7714 | Vicente J.R.,Kueffer C.,Richardson D.M.,et al. Different environmental drivers of alien tree invasion affect different life-stages and operate at different spatial scales[J],2019,433. |
APA | Vicente J.R..,Kueffer C..,Richardson D.M..,Vaz A.S..,Cabral J.A..,...&Honrado J.P..(2019).Different environmental drivers of alien tree invasion affect different life-stages and operate at different spatial scales.Forest Ecology and Management,433. |
MLA | Vicente J.R.,et al."Different environmental drivers of alien tree invasion affect different life-stages and operate at different spatial scales".Forest Ecology and Management 433(2019). |
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