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Record W2906408861 · doi:10.1111/nph.15554

Range shifts and local adaptation: integrating data and theory towards a new understanding of species’ distributions in the Anthropocene

2018· article· en· W2906408861 on OpenAlexaffabout
Julie A. Lee‐Yaw, Rafael Dudeque Zenni, Kathryn A. Hodgins, Brendon M. H. Larson, Roger Cousens, Bruce L. Webber

Bibliographic record

VenueNew Phytologist · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicSpecies Distribution and Climate Change
Canadian institutionsUniversity of WaterlooUniversity of British Columbia
FundersNew Phytologist Trust
KeywordsAnthropoceneAdaptation (eye)BiodiversityRange (aeronautics)Climate changeEcologyEnvironmental changeEcosystemLocal adaptationGeographyEnvironmental resource managementBiologySociologyEnvironmental sciencePopulation

Abstract

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The profound changes to Earth's climate, oceans, and land surfaces resulting from human activities have heralded what is referred to as the Anthropocene epoch (Lewis & Masin, 2015). Species are responding to these changes in complex ways (Lenoir et al., 2010; Schweiger et al., 2010; Tingley et al., 2012), creating one of the most pressing scientific challenges of our time: a need to better understand the effects of environmental change on species' distributions (Pecl et al., 2017). Addressing this requirement speaks to our ability to predict and mitigate biodiversity loss as well as declines in ecosystem services. However, rates of introductions, extinctions, and range changes in the Anthropocene have outpaced our ability to fully comprehend these changes to species distributions – let alone provide solutions to any problems these changes create for conservation. The ANDINA workshops were designed to foster the type of cross-discipline collaboration and debate that advances our understanding of complex challenges to biodiversity. The fourth workshop in the ANDINA series brought together 33 ecologists, social scientists, and evolutionary biologists from five continents to specifically address species' range shifts and the role that local adaptation plays in shaping species' distributions. The workshop was organized around three major themes: the implications of range shifts and local adaptation for conservation; the evolutionary and ecological drivers of range shifts; and the evolutionary and ecological consequences of range expansion and local adaptation. Here, we summarize some of our deliberations on each theme, and outline unresolved issues that require further investigation. Global change and the resulting impacts on species' geographic distributions challenge traditional conservation practices focused on the existing complement of species and resources in a given area (e.g. protected areas and resource holdings; Bonebrake et al., 2018). Specifically, in an era of range shifts and movement (i.e. directly or indirectly arising from anthropogenic environmental change), the community composition of regions is changing, creating novel interactions between species (Schweiger et al., 2010) and new challenges for resource users and managers. In light of these changes it is critical for scientists and land managers to both re-evaluate management goals and consider new approaches to conservation. One consideration for which there was general consensus during the ANDINA workshop, is the need to incorporate different scales of biological organization into management practices. In addition to species and their communities, the distribution of specific alleles and genotypes may be important in the context of changing environments. This need is already incorporated into some adaptive management strategies (e.g. bioengineering and translocation efforts: Dumroese et al., 2015; van Oppen et al., 2015; Prince et al., 2017). However, gaps in our understanding of how diversity at different biological scales is changing, the impact of range shifts on community composition in different areas, and the relative importance of local adaptation to the long-term persistence of species contribute to the increasing uncertainty facing managers. On a more fundamental level, rapid and widespread changes in species' distributions challenge the very premise of conservation. The question of how individual and societal values drive attitudes towards change, management priorities, and even the science that we do (e.g. Vellend, 2017; Kareiva et al., 2018) was raised at the workshop. For instance, how do we classify (from a conservation perspective) and manage species that have shifted their ranges of their own accord in response climate change and that are having negative impacts on recipient communities (Webber & Scott, 2012)? Do we treat these species the same way as we treat nonnative species introduced by humans? As another example, is it time to worry less about individual species and more about maintaining the maximum complement of phylogenetic uniqueness in a region or the adaptive potential of populations (Rodrigues et al., 2005; Tucker et al., 2017)? Meeting delegates had different perspectives on these issues, underscoring the challenges to achieving consensus on how best to apply scientific knowledge to conservation issues. Clearly, a great deal more discussion and development of these topics, involving different stakeholders and experts from other disciplines (e.g. economics, sociology, etc.) is needed. Classic niche theory holds that the geographic area occupied by a species (i.e. its geographic range) represents regions where abiotic conditions are suitable for the survival and reproduction of the species, where the species can contend with the suite of biotic interactions it encounters, and where dispersal (i.e. colonization) has not been prevented (Gaston, 2003; Soberón, 2007). Shifts in species' geographic ranges imply changes to one or more of these ecological factors. For instance, the native ranges of many species have moved upslope or poleward in response to climate change and shifting abiotic conditions (Chen et al., 2011; Sunday et al., 2012; Freeman & Freeman, 2014). Similarly, nonnative species invasions occur when dispersal constraints are removed (e.g. species are introduced between continents or moved long distances), often concomitantly releasing species from natural enemies. However, there is tremendous variation in the extent to which species respond to changing circumstances, raising the question: what makes some species more likely to shift their range in response to climate change or to become a successful invader? Meeting delegates agreed that getting a better handle on the relative importance of different ecological drivers to range limits is necessary to understand variation in native and nonnative range changes. Recent syntheses of over-the-edge transplant experiments and niche models have suggested that species are often niche- rather than dispersal-limited (Hargreaves et al., 2014; Lee-Yaw et al., 2016). Yet the majority of the species included in these syntheses were plants on elevational range limits, and most studies experimentally testing the ability of species to contend with conditions beyond the range suffered from one or more methodological issues (Hargreaves et al., 2014). Direct quantification of the demographic effects of different ecological factors influencing range limits is needed in many more taxa and for different types of range limits (i.e. geographical vs elevational limits). Furthermore, the experimental tractability of considering dispersal, abiotic, or biotic drivers of range limits in isolation ignores potential synergies between these factors (Alexander et al., 2015). Empirically quantifying interactions between different range limiting factors remains a huge challenge yet is likely necessary to explain variation in the response of species to novel environments. The importance of adaptation during range expansion was another unresolved question brought forth during the meeting. Specifically, how often do range changes simply involve tracking suitable yet shifting conditions vs evolution of the niche itself (Wiens & Graham, 2005)? Likewise, do the introduced ranges of nonnative species simply reflect niche filling of previously inaccessible areas, or are they the result of niche shifts following introduction (Atwater et al., 2017)? In both cases understanding the conditions that promote or hinder adaptation during range expansion is important. Finally, in the conclusion of his 2009 synthesis of range limits, ecologist Kevin Gaston wrote 'there may be few truly general patterns as to the determinants of the limits of geographic ranges, with most claimed generalities at least having many exceptions' (Gaston, 2009). Does the extreme variation in climate-mediated range shifts among species (e.g. Angert et al., 2011; Tingley et al., 2012) reflect the idiosyncratic nature of range limits, or, with enough data, will we be able to produce models that allow us to accurately predict the consequences of global environmental change on species' distributions and biodiversity? Perhaps the search for generalities is a question of scale. For instance, even if additional studies continue to support the general conclusion that range limits reflect niche constraints (i.e. Hargreaves et al., 2014; Lee-Yaw et al., 2016), the specific genes and traits that determine the set of conditions that a species can tolerate along a given niche dimension and the processes that govern the evolution of these traits may differ among species. Although ecological and evolutionary processes drive local adaptation and range expansion, the reverse is also true: adaptation and range expansion can impact the very processes that generate change in the first place. For instance, range expansion can place species into novel environments (abiotic and/or biotic) and can lead to new ecological challenges for both the arriving species as well as the recipient community. Range expansion can also result in Allee effects, impacting demographic properties at the expansion front. From an evolutionary perspective, as populations become locally adapted, selection may eliminate genetic variance (Walsh, 2004), limiting the future adaptive potential of populations. Likewise, range expansion can lead to reductions in genetic variation through successive bottlenecks (Hewitt, 1996; Dlugosch et al., 2015; Zenni et al., 2017) and may lead to the fixing of deleterious alleles through allele surfing (Travis et al., 2007; Hallatsheck & Nelson, 2009; Peischl et al., 2013). How then do local adaptation and range expansion ultimately impact the dynamics of populations? Considering local adaptation, a major problem identified during the workshop is that local adaptation is commonly assessed via comparisons of the relative performance of individuals from different populations based on one or more fitness components. Absolute fitness is rarely measured owing to the logistical difficulties of doing so; yet, this information is needed to translate the performance of individuals into the demography of populations (Hargreaves et al., 2014). Thus, the impact of 'local adaptation' (as most commonly measured) on population dynamics remains unclear. This issue represents a major disparity between theory and empirical work, as many models for range limits assume that range expansion is prevented by the demographic consequences of maladaptation – specifically a resulting lack of dispersers (i.e. range colonizers) from sink populations at the range edge (e.g. Kirkpatrick & Barton, 1997). Without the data necessary to link individual performance to population demography, it is unclear whether peripheral populations truly represent demographic sinks, and the actual impact of local adaptation (or maladaptation) on rates of range expansion. With respect to consequences of range expansions, workshop delegates concluded that there is often a discrepancy between theoretical models and empirical studies. For instance, a leading evolutionary model for range limits is that low levels of genetic variation limit adaptation at the edge of the range (see discussion in Bridle & Vines, 2006; Sexton et al., 2009). Studies using neutral genetic markers have found mixed support for this hypothesis (Eckert et al., 2008; Excoffier et al., 2009). Yet the distribution of relevant variation (i.e. variation that affects phenotype; e.g. Rózsa et al., 2016) and consequences for fitness remain unclear in most cases. Tests of other genetic consequences of range expansion (e.g. expansion load; but see González-Martínez et al., 2017; Peischl et al., 2013; Willi et al., 2018) also remain limited, making it unclear whether such effects are common. Likewise, the genetic architecture of adaptation is largely unknown (i.e. number and effect sizes of different variants, their distribution in the genome, and whether they demonstrate dominance; Gilbert & Whitlock, 2017). There was a call amongst workshop participants, especially amongst the theoreticians, for greater empirical treatment of these questions, not only to advance our mechanistic understanding of range dynamics, but to address existing theory and inform the next generation of range limit models. Finally, consideration of both time and space is likely to be important when thinking about the consequences of range expansion on populations. For instance, are there differences in the types of traits under selection during different stages of range expansion (e.g. dispersal capabilities and mating system during early expansion vs physiological tolerances after establishment)? If so, then given potential trade-offs between traits (e.g. Jenkins & Hoffmann, 1999), how does the early evolutionary trajectory of populations at the expansion front impact subsequent evolution (Burton et al., 2010; Perkins et al., 2016), and how might the genetic architecture of adaptation change through time or space as expansion proceeds (Dlugosch et al., 2015)? Likewise, how does spatial structure and the configuration of expanding populations influence the genetic consequences of range expansion? These questions remain largely unanswered both theoretically and empirically and represent further steps in understanding the consequences of range expansion for populations. Understanding and addressing the impact of human-mediated environmental change on biodiversity represents one of the greatest challenges of the twenty-first century. As when tackling any complex issue, there is value in not only pooling collective resources and knowledge, but also in challenging accepted scientific 'truths', debating ideas that do not readily lend themselves to consensus, and raising questions that defy our ability to provide answers using existing technology and methods. The ANDINA series of workshops was created to provide such opportunities for critical debate on research directions and objectives in a safe and egalitarian environment (Cousens, 2017). The fourth ANDINA workshop, with its professional facilitation, small-group breakout sessions, relaxed setting, and myriad opportunities for informal discussion led to lively dialogue on the topic of range shifts and local adaptation in the Anthropocene. These discussions highlighted many gaps in our understanding of the ecological and evolutionary feedbacks that govern species' range shifts. In many cases, the impediments to filling these gaps are large, yet the amalgamation of expert knowledge from diverse participants led to several creative and novel suggestions for empirical and theoretical work to address these gaps – many of which are being implemented in various forthcoming papers from the workshop. Although the Anthropocene challenges us with complex, global problems, science now operates at scales necessary to tackle these problems. Technology has enabled large, international collaborations, and the generation and sharing of vast amounts of data. Hand-in-hand with increasing ease of communication should be the embracement of diversity in science. The benefits of being a collection of investigators from different parts of the world, from different disciplines, and at different career stages was not lost on the participants of the ANDINA workshop – with many calling for even greater consideration of diversity in future workshops in this series and in science in general. Addressing the planet's most pressing problems requires 'all hands on deck' and collating knowledge across different disciplines, cultures, and peoples is critical to transcending current limits to our understanding of shifting distributions and other changes to biodiversity in the Anthropocene. Funding support for the workshop was provided by the New Phytologist Trust and an award to Roger Cousens by The University of Melbourne. The workshop was chaired by Bruce Webber (CSIRO, Australia), organized by Roger Cousens, Kay Hodgins (Monash University, Australia), Brendon Larson (University of Waterloo, Canada) and Ingolf Kühn (Martin-Luther University, Germany) and involved the following participants: Adam Davis, Amy Angert, Anna Hargreaves, Bruce Maxwell, Cascade Sorte, Dan Atwater, Dave Richardson, Emily Moberg, Erin Cameron, Franck Courchamp, Gretta Pecl, Jake Alexander, Julie Lee-Yaw, Justin Travis, Kate Ostevik, Katrina Dlugosch, Kim Gilbert, Mariana Chiuffo, Marissa Baskett, Mark Kirkpatrick, Martin A. Nunez, Mike Whitlock, Morgan Tingley, Phil Hulme, Rafael D. Zenni, Rob Colautti, Roger Cousens, Spencer Barrett, Swati Patel and Trisha Spanbauer. Michael Williams served as workshop facilitator and was instrumental to the planning and execution of the meeting. His keen ability to keep the meeting on track and to ensure that everyone got a voice during each session was very much appreciated. The authors thank Mariana Chiuffo and Martin A. Nuñez for local logistics and the Hotel Tronador for their superb hospitality.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.025
metaresearch head score (Gemma)0.042
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.025
Threshold uncertainty score0.131

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0250.042
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0050.006
Science and technology studies0.0040.024
Scholarly communication0.0140.035
Open science0.0060.011
Research integrity0.0050.012
Insufficient payload (model declined to judge)0.0080.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.137
GPT teacher head0.318
Teacher spread0.181 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations15
Published2018
Admission routes2
Has abstractyes

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