Are there any consistent predictors of invasion success?

Hayes, Keith R.; Barry, Simon C.

doi:10.1007/s10530-007-9146-5

Cited by 509 publications

(535 citation statements)

References 89 publications

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“…Trait-based predictions have had some success in predicting plant establishment, invasiveness and impact (e.g. Pyšek et al 2009; but see Palacio-Lopez and Gianoli 2011), but the distribution of success of such trait comparisons is patchy among animal taxa (Hayes and Barry 2008), with some good predictors of invasion success for birds (Sol et al 2002;Blackburn et al 2009), fishes (Marchetti et al 2004a, b) and mammals , often based on propagule pressure and human affiliation. However, consistent predictors of invasion success across animal and plant taxa remain elusive (Hayes and Barry 2008).…”

Section: Species Traits Comparisons and The Utility Of Functional Resmentioning

confidence: 99%

Advancing impact prediction and hypothesis testing in invasion ecology using a comparative functional response approach

et al. 2013

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Invasion ecology urgently requires predictive methodologies that can forecast the ecological impacts of existing, emerging and potential invasive species. We argue that many ecologically damaging invaders are characterised by their more efficient use of resources. Consequently, comparison of the classical 'functional response' (relationship between resource use and availability) between invasive and trophically analogous native species may allow prediction of invader ecological impact. We review the utility of species trait comparisons and the history and context of the use of functional responses in invasion ecology, then present our framework for the use of comparative functional responses. We show that functional response analyses, by describing the resource use of species over a range of resource availabilities, avoids many pitfalls of 'snapshot' assessments of resource use. Our framework demonstrates how comparisons of invader and native functional responses, within and between Type II and III functional responses, allow testing of the likely population-level outcomes of invasions for affected species. Furthermore, we describe how recent studies support the predictive capacity of this method; for example, the invasive 'bloody red shrimp' Hemimysis anomala shows higher Type II functional responses than native mysids and this corroborates, and could -013-0550-8 have predicted, actual invader impacts in the field. The comparative functional response method can also be used to examine differences in the impact of two or more invaders, two or more populations of the same invader, and the abiotic (e.g. temperature) and biotic (e.g. parasitism) context-dependencies of invader impacts. Our framework may also address the previous lack of rigour in testing major hypotheses in invasion ecology, such as the 'enemy release' and 'biotic resistance' hypotheses, as our approach explicitly considers demographic consequences for impacted resources, such as native and invasive prey species. We also identify potential challenges in the application of comparative functional responses in invasion ecology. These include incorporation of numerical responses, multiple predator effects and trait-mediated indirect interactions, replacement versus non-replacement study designs and the inclusion of functional responses in risk assessment frameworks. In future, the generation of sufficient case studies for a meta-analysis could test the overall hypothesis that comparative functional responses can indeed predict invasive species impacts.Biol Invasions (2014) 16:735-753 DOI 10.1007/s10530

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Section: Species Traits Comparisons and The Utility Of Functional Resmentioning

confidence: 99%

Advancing impact prediction and hypothesis testing in invasion ecology using a comparative functional response approach

et al. 2013

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“…Domain A: Difficulties arising from society and its relationship to biological invasions, measures that can be taken to overcome them and consequences for the scientific approach of invasion ecology; letters and numbers in parentheses refer to Perrings et al (2010b); c Bremner and Park (2007), Burt et al (2007), Byron (2008); d Mack et al (2000), Moore et al (2010); e Fischer and van der Wal (2007); f Andreu et al (2009); g Bodey et al (2010) to analyze, explain, and predict. Invasion processes are complex (Lodge 1993;Hayes and Barry 2008;B1 in Table 2) and context-dependent (Zedler and Kercher 2004;Gurevitch et al 2008;Blackburn et al 2009) (B2 in Table 2). This creates the need for methods that are able to explain and predict multiple interacting influences (Heger and Trepl 2003), and to take into account the history of current invasions for their explanation (Cassey et al 2005) (see right column in Table 2).…”

Section: Domain B: Difficulties Arising From the Peculiarity Of The Imentioning

confidence: 99%

Conceptual Frameworks and Methods for Advancing Invasion Ecology

Heger

Pahl

Botta‐Dukát

et al. 2013

AMBIO

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Invasion ecology has much advanced since its early beginnings. Nevertheless, explanation, prediction, and management of biological invasions remain difficult. We argue that progress in invasion research can be accelerated by, first, pointing out difficulties this field is currently facing and, second, looking for measures to overcome them. We see basic and applied research in invasion ecology confronted with difficulties arising from (A) societal issues, e.g., disparate perceptions of invasive species; (B) the peculiarity of the invasion process, e.g., its complexity and context dependency; and (C) the scientific methodology, e.g., imprecise hypotheses. To overcome these difficulties, we propose three key measures: (1) a checklist for definitions to encourage explicit definitions; (2) implementation of a hierarchy of hypotheses (HoH), where general hypotheses branch into specific and precisely testable hypotheses; and (3) platforms for improved communication. These measures may significantly increase conceptual clarity and enhance communication, thus advancing invasion ecology.

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“…Thus, the reason for this order of occupation of non-native areas is the landscape similarity between native areas in Africa and non-native areas found in southern Brazil. Hayes and Barry (2008) showed that climate/habitat match and number of introduced organisms are consistently significant predictors of successful establishment across all of the biological groups in which they have been tested (birds, mammals and plants). The initial occupation of the state of Rio Grande do Sul (southern Brazil) is justified by the similarity between this region and the native African range of the cattle egret.…”

Section: Discussionmentioning

confidence: 99%

“…This dispersion pattern is not expected for the cattle egret in Brazil due to the lack of uniformity in the landscape. During colonization, the habitat match is an important factor to consider because it can determine the selection of areas to be occupied by invasive species (Hayes and Barry 2008). The state of Rio Grande do Sul in southern Brazil is the only region of the country with extensive areas of natural grasslands within the "Pampas" biome (taken from MMA) and had the largest bovine breeding activities in the 1970s (census data;IBGE 1975), which are similar to conditions found for the cattle egret in its native range.…”

Section: Introductionmentioning

confidence: 99%

Colonization of Brazil by the cattle egret (Bubulcus ibis) revealed by mitochondrial DNA

Moralez-Silva¹,

Lama²

2014

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The cattle egret (Bubulcus ibis) has recently colonized Brazil. This process offers an excellent opportunity for the study of colonization and dispersal patterns across extensive areas by non-native birds. The aims of the present investigation were a) to determine the genetic diversity of the cattle egret in Brazil and Africa, b) evaluate genetic differentiation between populations in different regions of Brazil and Africa, and c) detect genetic signs of demographic expansion in these two areas. Mitochondrial DNA (mtDNA) Control Region (CR) sequences were obtained from 112 cattle egrets in four Brazilian and four African (Kenya, Ghana and Nigeria) populations. Genetic diversity (H, h, θ s ) and population structure (AMOVA, Fst) were assessed and the populations were tested for signs of recent demographic expansion. A total of 35 haplotypes were found: 22 exclusive to Africa, 10 exclusive to Brazil and three shared by both samples. The degree of genetic diversity, determined by mtDNA analysis, was similar between Brazil and Africa, demonstrating that the successful colonization of the non-native area occurred with no significant loss of diversity. The pairwise Fst values among the Brazilian and African populations were all significantly different. The population in southern Brazilian exhibited the lowest degree of differentiation with respect to the African population, followed by the southeastern and northeastern populations of the country. The genetic differentiation data suggest that the colonization of Brazil by the cattle egret began in the southern region and expanded to the southeastern and northeastern regions of the country. This genetic differentiation pattern is in accordance with the higher number of cattle per grazing area in southern Brazil, which may have favored the onset of the successful establishment of the species. The findings indicate that mtD-NA genetic diversity was retained during the colonization process and colonization began in the southern region of the country. Moreover, signs of demographic expansion were detected in the African sample.

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Are there any consistent predictors of invasion success?

Cited by 509 publications

References 89 publications

Advancing impact prediction and hypothesis testing in invasion ecology using a comparative functional response approach

Advancing impact prediction and hypothesis testing in invasion ecology using a comparative functional response approach

Conceptual Frameworks and Methods for Advancing Invasion Ecology

Colonization of Brazil by the cattle egret (Bubulcus ibis) revealed by mitochondrial DNA

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