2018
DOI: 10.1111/gcb.14007
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Diverse effects of invasive ecosystem engineers on marine biodiversity and ecosystem functions: A global review and meta‐analysis

Abstract: Invasive ecosystem engineers (IEE) are potentially one of the most influential types of biological invaders. They are expected to have extensive ecological impacts by altering the physical-chemical structure of ecosystems, thereby changing the rules of existence for a broad range of resident biota. To test the generality of this expectation, we used a global systematic review and meta-analysis to examine IEE effects on the abundance of individual species and communities, biodiversity (using several indices) an… Show more

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Cited by 98 publications
(78 citation statements)
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References 81 publications
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“…Moore, ; Polvi & Sarneel, ); or invasive ecosystem engineers in marine systems (e.g. Guy‐Haim et al, ; Katsanevakis et al, ). However, there has yet to be a synthesis of invasive ecosystem engineers in freshwaters.…”
Section: Introductionmentioning
confidence: 99%
“…Moore, ; Polvi & Sarneel, ); or invasive ecosystem engineers in marine systems (e.g. Guy‐Haim et al, ; Katsanevakis et al, ). However, there has yet to be a synthesis of invasive ecosystem engineers in freshwaters.…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, the relative contribution of negative and positive effects is dependent on the context in which the ecosystem engineer is introduced (Guy‐Haim et al. ). For example, in southeastern Appalachian forests, the invasion of herbaceous understory communities by Japanese stilt grass ( Microstegium vinineum ) has mixed effects on some native community members.…”
Section: Introductionmentioning
confidence: 99%
“…In this respect, meta-analyses employing quantitative methods are conceivably more objective than review articles, because they should be less susceptible to preconceived notions. Although some meta-analyses concluded that the impacts of NIS are stronger and/ or more detrimental than those of indigenous species (Ferlian et al, 2018;Paolucci, MacIsaac, & Ricciardi, 2013;Salo, Korpimaki, Banks, Nordstrom, & Dickman, 2007;Simberloff, Souza, Nuñez, Barrios-Garcia, & Bunn, 2012;van Hengstum, Hooftman, Oostermeijer, Tienderen, & Mack, 2014;Vilá et al, 2011;Wood et al, 2017;Yoon & Read, 2016), many suggested positive influences and/or that the purported negative effects of NIS are not supported by evidence (Charlebois, Sargent, & Maherali, 2017;Gurevitch & Padilla, 2004;Norkko et al, 2011;Pintor, Byers, & Anderson, 2015;Radville, Gonda-King, Gómez, Kaplan, & Preisser Evan, 2014;Reise, Olenin, & Thieltges, 2006), and most found variable and context-dependent impacts (Cameron, Vilà, Cabeza, & Sykes, 2016;Guy-Haim et al, 2018;Higgins & Vander Zanden, 2010;Howard, Therriault, & Côté, 2017;Martin, Newton, & Bullock, 2017;Nelson et al, 2017;Potgieter et al, 2017;Pysek et al, 2008;Qiu, 2015;Thomsen et al, 2014;Twardochleb, Olden, & Larson, 2013;Vaz et al, 2018;Ward & Ricciardi, 2007), thus hindering broad generalizations.…”
Section: Interpre Ting and Recon Ciling D Iss Entmentioning
confidence: 99%