The progress of interdisciplinarity in invasion science

Vaz, Ana Sofia; Kueffer, Christoph; Kull, Christian A.; Richardson, David M.; Schindler, Stefan; Muñoz-Pajares, A. Jesús; Vicente, Joana R.; Martins, João; Hui, Cang; Kühn, Ingolf; Honrado, João P.

doi:10.1007/s13280-017-0897-7

Cited by 132 publications

(118 citation statements)

References 70 publications

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“…), as well as to social phenomena (e.g., Vaz et al. ). The concept of turnover in the identity of elements in a system and its measurement is therefore of interest across a broad range of biological and socioecological contexts that span multiple scales (Arita et al.…”

Section: Introductionmentioning

confidence: 99%

“…Changes in the patterns of species composition in space and time, along with richness, abundance, and biomass, are critical to understanding what drives biodiversity and the ways that humans are transforming it (McGill et al 2015, Socolar et al 2016. Compositional change is relevant not only to species diversity, but to other levels of biological organization, including molecular, genetic, and clade diversity (e.g., Nipperess et al 2012, Thomas et al 2016, as well as to social phenomena (e.g., Vaz et al 2017). The concept of turnover in the identity of elements in a system and its measurement is therefore of interest across a broad range of biological and socioecological contexts that span multiple scales (Arita et al 2012, Shimadzu et al 2015.…”

Section: Introductionmentioning

confidence: 99%

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Measuring continuous compositional change using decline and decay in zeta diversity

McGeoch

Latombe

Andrew

et al. 2019

Ecology

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150

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Incidence, or compositional, matrices are generated for a broad range of research applications in biology. Zeta diversity provides a common currency and conceptual framework that links incidence‐based metrics with multiple patterns of interest in biology, ecology, and biodiversity science. It quantifies the variation in species (or OTU) composition of multiple assemblages (or cases) in space or time, to capture the contribution of the full suite of narrow, intermediate, and wide‐ranging species to biotic heterogeneity. Here we provide a conceptual framework for the application and interpretation of patterns of continuous change in compositional diversity using zeta diversity. This includes consideration of the survey design context, and the multiple ways in which zeta diversity decline and decay can be used to examine and test turnover in the identity of elements across space and time. We introduce the zeta ratio–based retention rate curve to quantify rates of compositional change. We illustrate these applications using 11 empirical data sets from a broad range of taxa, scales, and levels of biological organization—from DNA molecules and microbes to communities and interaction networks—including one of the original data sets used to express compositional change and distance decay in ecology. We show (1) how different sample selection schemes used during the calculation of compositional change are appropriate for different data types and questions, (2) how higher orders of zeta may in some cases better detect shifts and transitions, and (3) the relative roles of rare vs. common species in driving patterns of compositional change. By exploring the application of zeta diversity decline and decay, including the retention rate, across this broad range of contexts, we demonstrate its application for understanding continuous turnover in biological systems.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Measuring continuous compositional change using decline and decay in zeta diversity

McGeoch

Latombe

Andrew

et al. 2019

Ecology

Self Cite

150

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show abstract

“…Instead of focusing on comparing multi-site metric performance, the concept of zeta diversity provides an alternative by embracing the n-dependency in multiple-site diversity partitioning (where n represents the number of sites/communities), similar to the argument on embracing the scale-dependency in cross-scale diversity partitioning (Hui & McGeoch 2007, 2008. Although zeta diversity has a number of conceptual and analytical advantages over related multiple-site diversity metrics, it has only just started to be used for quantifying and predicting biodiversity patterns in empirical data (Roura-Pascual et al 2016;Roigé et al 2016;McGeoch et al 2017;Vaz et al 2017;Kunin et al 2018). To this end, we will illustrate how the outputs from zeta diversity analyses can provide valuable and novel insights about the species turnover and community assembly processes in an Afromontane forest.…”

Section: Introductionmentioning

confidence: 99%

Quantifying multiple-site compositional turnover in an Afrotemperate forest, using zeta diversity

Hui

Durrheim

2018

For. Ecosyst.

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Background: Species turnover is typically measured by partitioning diversity components into alpha and pairwise beta diversity. However, alpha and beta components cannot express the full spectrum of multiple-site compositional turnover. To this end, zeta diversity has been proposed as an extended framework to allow complete biodiversity partitioning and to measure multiple-site species turnover. We use a zeta-diversity framework to explore the turnover and potential community assembly processes of an African Montane Forest. Methods: Using a 20 m grid, we explore the species turnover in a 4.55 ha forest plot located in the Garden Route National Park of South Africa, with 47 and 27 canopy and sub-canopy tree species in the regional pool. We first calculate how zeta diversity declines and how the probability of retention of species with particular occupancies changes with increasing zeta orders (i.e. the number of sites [grid cells] involved in the calculation). Using null models with row sums and column sums constrained respectively, we explore whether species turnover is driven by mechanisms of ecological differences (species-specific occupancies) or habitat heterogeneity (site-specific alpha diversity and thus environmental filters). Results: The decline of zeta diversity with zeta order followed a power law; that is, the probability of retention increased with species occupancies, suggesting common species being more likely to be discovered in extra sites. The null model retaining row sums (species' occupancy) of the species-by-site matrix recreated perfectly the decline of zeta diversity, while the null model of habitat heterogeneity (retaining column sums) was rejected. This suggests that mechanisms driving species-specific occupancies (i.e. ecological differences between species) dictate the multi-site species turnover in the community. The spatial patterns of zeta diversity revealed little spatial structuring forces, supporting a fine-grain structure in these southern Cape forests. Conclusions: The framework of zeta diversity revealed mechanisms driving the large discrepancies in the occupancy among species that are behind the species turnover in the African Montane forest plot. Future studies could further link species turnover to spatial distance decay. Environmental filters and temporal turnover from landscape demography could bring a cohesive understanding of community assembly in these unique forest ecosystems.

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“…Rather, they are a consequence of invasion science having undergone rapid growth recently and because the field is inextricably linked with many other disciplines from which it has borrowed concepts and terms (Vaz et al. ). Such problems of coherence must therefore be identified, elucidated, communicated, and, where possible, resolved, to improve the evidence‐based foundation of invasion science in general and invasion management in particular.…”

Section: Introductionmentioning

confidence: 99%

A four‐component classification of uncertainties in biological invasions: implications for management

et al. 2019

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Although uncertainty is an integral part of any science, it raises doubts in public perception about scientific evidence, is exploited by denialists, and therefore potentially hinders the implementation of management actions. As a relatively young field of study, invasion science contains many uncertainties. This may explain why, despite international policies aimed at mitigating biological invasions, the implementation of national‐ and regional‐scale measures to prevent or control alien species has done little to slow the increase in extent of invasions and the magnitude of impacts. Uncertainty is therefore a critical aspect of invasion science that should be addressed to enable the field to progress further. To improve how uncertainties in invasion science are captured and characterized, we propose a framework, which is also applicable to other applied research fields such as climate and conservation science, divided into four components: the need (1) to clearly circumscribe the phenomenon, (2) to measure and provide evidence for the phenomenon (i.e., confirmation), (3) to understand the mechanisms that cause the phenomenon, and (4) to understand the mechanisms through which the phenomenon results in consequences. We link these issues to three major types of uncertainty: linguistic, psychological, and epistemic. The application of this framework shows that the four components tend to be characterized by different types of uncertainty in invasion science. We explain how these uncertainties can be detrimental to the implementation of management measures and propose ways to reduce them. Since biological invasions are increasingly tightly embedded in complex socio‐ecological systems, many problems associated with these uncertainties have convoluted solutions. They demand the consensus of many stakeholders to define and frame the dimensions of the phenomenon, and to decide on appropriate actions. While many of the uncertainties cannot be eliminated completely, we believe that using this framework to explicitly identify and communicate them will help to improve collaboration between researchers and managers, increase scientific, political, and public support for invasion research, and provide a stronger foundation for sustainable management strategies.

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The progress of interdisciplinarity in invasion science

Cited by 132 publications

References 70 publications

Measuring continuous compositional change using decline and decay in zeta diversity

Measuring continuous compositional change using decline and decay in zeta diversity

Quantifying multiple-site compositional turnover in an Afrotemperate forest, using zeta diversity

A four‐component classification of uncertainties in biological invasions: implications for management

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