Different environmental drivers of alien tree invasion affect different life-stages and operate at different spatial scales

Joana R. Vicente, Christoph Kueffer, David M. Richardson, Ana Sofia Vaz, João A. Cabral, Cang Hui, Miguel B. Araújo, Ingolf Kühn, Christian A. Kull, Peter H. Verburg, Elizabete Marchante, João P. Honrado

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

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.

LanguageEnglish
Pages263-275
Number of pages13
JournalForest Ecology and Management
Volume433
DOIs
Publication statusPublished - 15 Feb 2019

Fingerprint

Acacia dealbata
invasive species
species occurrence
testing
introduced species
European Union
Portugal
modeling
forest management
population structure
niche
silver
population dynamics
niches
regeneration
biodiversity
test

Keywords

  • Acacia dealbata
  • Biological invasions
  • Environmental factors
  • Multimodel inference
  • Scale-dependence

Cite this

Vicente, Joana R. ; Kueffer, Christoph ; Richardson, David M. ; Vaz, Ana Sofia ; Cabral, João A. ; Hui, Cang ; Araújo, Miguel B. ; Kühn, Ingolf ; Kull, Christian A. ; Verburg, Peter H. ; Marchante, Elizabete ; Honrado, João P. / Different environmental drivers of alien tree invasion affect different life-stages and operate at different spatial scales. In: Forest Ecology and Management. 2019 ; Vol. 433. pp. 263-275.
@article{17201243a9364f318c2f4656b022e2c1,
title = "Different environmental drivers of alien tree invasion affect different life-stages and operate at different spatial scales",
abstract = "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.",
keywords = "Acacia dealbata, Biological invasions, Environmental factors, Multimodel inference, Scale-dependence",
author = "Vicente, {Joana R.} and Christoph Kueffer and Richardson, {David M.} and Vaz, {Ana Sofia} and Cabral, {Jo{\~a}o A.} and Cang Hui and Ara{\'u}jo, {Miguel B.} and Ingolf K{\"u}hn and Kull, {Christian A.} and Verburg, {Peter H.} and Elizabete Marchante and Honrado, {Jo{\~a}o P.}",
year = "2019",
month = "2",
day = "15",
doi = "10.1016/j.foreco.2018.10.065",
language = "English",
volume = "433",
pages = "263--275",
journal = "Forest Ecology and Management",
issn = "0378-1127",
publisher = "Elsevier",

}

Vicente, JR, Kueffer, C, Richardson, DM, Vaz, AS, Cabral, JA, Hui, C, Araújo, MB, Kühn, I, Kull, CA, Verburg, PH, Marchante, E & Honrado, JP 2019, 'Different environmental drivers of alien tree invasion affect different life-stages and operate at different spatial scales', Forest Ecology and Management, vol. 433, pp. 263-275. https://doi.org/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, Joana R.; Kueffer, Christoph; Richardson, David M.; Vaz, Ana Sofia; Cabral, João A.; Hui, Cang; Araújo, Miguel B.; Kühn, Ingolf; Kull, Christian A.; Verburg, Peter H.; Marchante, Elizabete; Honrado, João P.

In: Forest Ecology and Management, Vol. 433, 15.02.2019, p. 263-275.

Research output: Contribution to JournalArticleAcademicpeer-review

TY - JOUR

T1 - Different environmental drivers of alien tree invasion affect different life-stages and operate at different spatial scales

AU - Vicente, Joana R.

AU - Kueffer, Christoph

AU - Richardson, David M.

AU - Vaz, Ana Sofia

AU - Cabral, João A.

AU - Hui, Cang

AU - Araújo, Miguel B.

AU - Kühn, Ingolf

AU - Kull, Christian A.

AU - Verburg, Peter H.

AU - Marchante, Elizabete

AU - Honrado, João P.

PY - 2019/2/15

Y1 - 2019/2/15

N2 - 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.

AB - 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.

KW - Acacia dealbata

KW - Biological invasions

KW - Environmental factors

KW - Multimodel inference

KW - Scale-dependence

UR - http://www.scopus.com/inward/record.url?scp=85056606388&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85056606388&partnerID=8YFLogxK

U2 - 10.1016/j.foreco.2018.10.065

DO - 10.1016/j.foreco.2018.10.065

M3 - Article

VL - 433

SP - 263

EP - 275

JO - Forest Ecology and Management

T2 - Forest Ecology and Management

JF - Forest Ecology and Management

SN - 0378-1127

ER -