Are there any consistent predictors of invasion success?

By Keith R. Hayes, Simon C. Barry. Biological Invasions, 2008

616 citations recorded by the source corpus.

Subfields: Ecology, Evolution, Behavior and Systematics, Insect Science, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/19af208b96db665f13ea9ab420274e04bd96a157

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology, Evolution, Behavior and Systematics

1. Petr Pyšek
2. D. Richardson
3. P. Hulme
4. Jan Pergl
5. I. Kühn
6. M. Vilà
7. Jonathan M. Jeschke
8. Jane Elith

In Insect Science

1. Petr Pyšek
2. D. Richardson
3. Jan Pergl
4. M. Vilà
5. I. Kühn
6. Jonathan M. Jeschke
7. P. Hulme
8. W. Dawson

In Nature and Landscape Conservation

1. Petr Pyšek
2. D. Richardson
3. M. Vilà
4. Jane Elith
5. Jan Pergl
6. P. Hulme
7. Jonathan M. Jeschke
8. I. Kühn

Citations in the corpus

• A grey future for Europe: Sciurus carolinensis is replacing native red squirrels in Italy (2013, background): “Several authors have reviewed correlates of invasion success looking for predictors of establishment success (e.g. Kolar and Lodge 2001; Hayes and Barry 2008), however we are still far from describing general rules useful in risk assessment procedures.”
• Phylogenetic relatedness and plant invader success across two spatial scales (2009, background): “Phylogenetic patterns underpinning successful biological invasions can be investigated in a number of ways (Hayes & Barry, 2008).”
• Influence of phylogeny and ploidy on species ranges of North American angiosperms (2009, background): “For example, native ranges of plants (Broennimann&Guisan 2008) and animals (Hayes & Barry 2008; Bomford et al. 2009) are frequently used to predict the potential introduction success and distribution of alien or invasive species.”
• Factors explaining alien plant invasion success in a tropical ecosystem differ at each stage of invasion (2009, background): “Although some generalizations have begun to emerge from such studies (Py s ek & Richardson 2007), the explanatory power of comparative analyses may be limited in cases where propagule pressure, residence time and phylogeny are not taken into account (Hayes & Barry 2008).”
• The elephant in the room: the role of failed invasions in understanding invasion biology (2013, background): “Comparisons of invaders and non-invaders help elucidate the role of species traits in invasions (Hayes and Barry 2008).”
• Advancing impact prediction and hypothesis testing in invasion ecology using a comparative functional response approach (2014, background): “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.”
• Identifying hotspots for plant invasions and forecasting focal points of further spread (2009, background): “Studies attempting to synthetically predict invasive species success generally suggest that plant invasions are particularly idiosyncratic and often only vague generalizations about patterns and processes are possible (Hayes & Barry 2008; but seeMilbau& Stout 2008).”
• Species diversity and drivers of spread of alien fungi (sensu lato) in Europe with a particular focus on France (2009, background): “Although the numerous studies in this field lead to the conclusion that there are no characteristics common to all invaders or to all invaded communities, some species-level characteristics were shown to be significant within some biological groups ( Hayes and Barry 2008 ).”
• Use of DNA barcoding to detect invertebrate invasive species from diapausing eggs (2011, background): “One of the best indicators of invasion risk is ‘‘propagule pressure’’, the frequency and density with which NIS are introduced to new habitats (Colautti et al. 2006; Hayes and Barry 2008; Lockwood et al. 2009).”
• Comparing impacts of alien plants and animals in Europe using a standard scoring system (2015, background): “Furthermore, (ii) we test how environmental and socioeconomic impacts are related, and (iii) provide recommendations on whether ‘impact elsewhere’ is as good a predictor of impact as ‘invasive elsewhere’ has been shown to be for invasiveness (e.g. Hayes & Barry 2008).”
• The aggressive invasion of exotic reptiles in Florida with a focus on prominent species: A review (2011, background): “(2009) suggested that climate modeling can be a valuable tool for assessing the risk of establishment of alien herpetofauna, and many researchers have been exploring and evaluating attributes for assessing establishment risk (Bomford et al., 2009; Hayes and Barry, 2008; Stohlgren and Schnase, 2006).”
• Marine range shifts and species introductions: comparative spread rates and community impacts (2010, background): “…populations, and propagule pressure, or the total number and quality of individuals relocated, is one of the best predictors of introduced species establishment (Cassey et al., 2005; Hayes & Barry, 2008) and faster spread rates (Mack et al., 2000; Lockwood et al., 2005; Roman & Darling, 2007).”
• Managing Multiple Vectors for Marine Invasions in an Increasingly Connected World (2013, background): “Flux is often positively related to establishment rates (Colautti et al. 2006, Hayes and Barry 2008, Simberloff 2009), and reducing or eliminating flux is a prime management target.”