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Laura J. Pollock

Membre académique associé
Professeure adjointe, McGill University
Sujets de recherche
Biologie computationnelle
Modèles probabilistes

Biographie

J’occupe le poste de professeure adjointe en conservation, écologie, évolution et comportement au Département de biologie de l'Université McGill. Je suis une écologiste quantitative intéressée par les modèles à grande échelle de la biodiversité aux niveaux régional, continental et mondial. Mes recherches portent sur les effets du changement climatique sur la biodiversité, combinant de nombreuses données sur la biodiversité avec des modèles prédictifs. Mes travaux se concentrent également sur l'optimisation dans le but de cibler les zones clés de biodiversité et de proposer des solutions de conservation efficaces.

Publications

The global geography of threats to freshwater biodiversity
Christophe Brabant
Jonas Geldmann
Mette Bendixen
Lise Comte
Harith M. Farooq
Katherine Hébert
Bernhard Lehner
Catherine Overed-Sayer
Lars Lønsmann Iversen
Human activities are eroding biodiversity, especially in freshwater systems. Despite major advances in quantifying species vulnerability and… (voir plus) threats, we still lack a crucial understanding of where threats are affecting freshwater species globally. Here, we produced a species-centered spatial assessment of threats, mapping the impact of 45 threats across 21,490 freshwater species of amphibians, fish, mammals, odonates, and reptiles. We found that species in highly developed and water-managed regions are strongly affected by multiple overlapping threats. Although threats vary across taxa and regions, increasing threat probabilities elevate extinction risk and population declines, with freshwater species experiencing greater threat intensity and distinct spatial patterns than terrestrial species. Our findings establish a spatially explicit baseline for targeting the most urgently needed freshwater conservation and management interventions.
Climate vulnerability assessment framework choice influences species prioritization and prediction of population decline
Janaína de Andrade Serrano
Andrea Brown
Climate change vulnerability assessments (CCVAs) are regarded as an essential strategy to conservation strategies but are rarely used to inf… (voir plus)orm conservation planning and prioritize species for management and adaptation. The main factor inhibiting its use is the challenge of combining exposure, sensitivity, and adaptive-capacity variables and, especially, of evaluating the ability of frameworks to predict species decline. This raises a fundamental challenge for conservation science: can climate vulnerability reliably identify species of conservation concern before widespread declines occur? Using extensive long-term monitoring data for 236 breeding bird species in North America, we compared a Trait-based Vulnerability Index (TVI), which combines variables into a fixed-weight composite index, with a Climate Vulnerability Model (CVM) that estimates the relative contribution of the same variables statistically. The two approaches showed limited agreement in the species identified as highly vulnerable (35.6% overlap), indicating that vulnerability estimates differed substantially among assessment frameworks. This divergence varied by guild and biome, with the greatest disagreement between frameworks found for seabirds, and CVM outperforming TVI in most biomes except for grassland-associated species. Exposure variables, particularly projected habitat loss and cumulative threat burden, outperformed intrinsic traits in predicting both climate-change threat listings and observed population decline. Species assigned higher model-based climate vulnerability were significantly more likely to exhibit long-term population declines, whereas sensitivity and adaptive-capacity traits provided comparatively little additional predictive information. Our study provides a rare empirical evaluation of climate vulnerability assessments and their ability to identify species experiencing biological decline. Our results suggest that different vulnerability assessments can lead to different conservation priorities, indicating that additional work is needed to improve and validate climate-risk frameworks. The positive associations between vulnerability estimates and demographic decline indicate that large-scale assessments can provide useful information for evaluating risk and prioritizing conservation action where direct demographic data are limited.
Designing optimal biodiversity observation networks
Michael Catchen
Francis Banville
Penelope S. A. Blyth
Chris Brimacombe
Gabriel Dansereau
Gracielle Higino
Thomas Malpas
Hana Mayall
Kari Norman
Tanya Strydom
Andrew Gonzalez
Timothée Poisot
Meeting the goals of the Global Biodiversity Framework (GBF) requires a substantial increase in biodiversity monitoring effort, motivating t… (voir plus)he development of a Global Biodiversity Observing System (GBiOS). However, GBiOS cannot be built without a practical framework for designing effective biodiversity monitoring networks that balances budgetary constraints with competing policy objectives, which we currently lack. Here we provide the foundations for a theory of optimal biodiversity monitoring design based on: (1) a hierarchical, multi-layer architecture for monitoring networks that matches the multi-scale nature of ecological processes and environmental policymaking, (2) a simulation-based framework for evaluating the efficacy of monitoring network design against the variety of plausible “ecological worlds”, and (3) an integrative toolbox for monitoring design, drawing on methods from spatial sampling theory, environmental monitoring design, and optimal decision theory. Together, these form a basis for building the most effective GBiOS possible to best inform policymaking and meet the goals and targets of the GBF.
Blitz the Gap: a nation-wide effort to guide citizen science toward the needs of biodiversity science
Katherine Hébert
Nathan G. Earley
John Reynolds
Diane Srivastava
Brian M. Starzomski
Michelle Tseng
Guillaume Larocque
James Pagé
Ciara Raudsepp‐Hearne
Peter Soroye
Sandra Emry
David Hunt
Pierre Rogy
Christophe Brabant
Stephen Deedes-Vincke
María Camilla Diaz-Corzo
Lucas Eckert
Nicole J. Kester
Joshua S. Lee
Eniola Olu-Ayorinde … (voir 16 de plus)
Lindsay Louise Trottier
Lukas van Riel
Sarfaroz Yunusov
Isaac Eckert
Janaína Serrano
Noah Wightman
Maho Horikawa
Ryan Hull
Leeya Nagpal
André‐Philippe Drapeau Picard
Étienne Lacroix-Carignan
Derek Duplessis
Étienne Léveillé‐Bourret
Marc-Antoine Poulin
Anthony Zerafa
To resolve persistent biases in conservation assessments and forecasting, we urgently need more systematic collection of biodiversity data. … (voir plus)Citizen (or, community) science, despite its reputation for unstructured data, offers a particularly promising path forward, mobilizing participation at scales and speeds unmatched by traditional monitoring. Here, we introduce Blitz the Gap, a pan-Canadian initiative to guide citizen science with sampling ‘challenges’, bioblitzes and paid initiatives using iNaturalist. One year of semi-guided sampling helped to gain 540 species newly recorded on iNaturalist Canada, almost 50,000 km2 of added spatial coverage, better representation of northern climates, and new evidence to help identify Key Biodiversity Areas. These results demonstrate the potential for guided citizen science, especially for taxonomic discovery, range-filling, and early alerts for species on the move. Our experience highlights the need for more tailored guidance and gamification, further development of adaptive sampling methods, and funding for bioblitzes and training of future taxonomists and naturalists. As countries work towards global conservation targets for 2030 and 2050, citizen science should be one of the core pillars of any large-scale monitoring network, contributing unparalleled taxonomic depth and engagement.
A call to integrate animal movement into biodiversity indicators
Ruth Y. Oliver
Katherine Hébert
Lacey F. Hughey
Luca Börger
Francesca Cagnacci
Nathan W. Cooper
Sarah C. Davidson
Andrew Gonzalez
Autumn‐Lynn Harrison
Jessica M. Kendall-Bar
Katie L. Millette
Joanna Mills Flemming
Thomas Mueller
Will Rogers
Talia Speaker
Jared A. Stabach
Marlee A. Tucker
Wenjing Xu
Scott W. Yanco
Briana Abrahms … (voir 35 de plus)
Sara Beery
Roxanne S. Beltran
Lily K. Bentley
Larissa T. Beumer
Mary E. Bowers
Steven W. J. Canty
Ying‐Chi Chan
Juliet Cohen
Grant M. Connette
Eduardo Cuevas
Tammy E. Davies
Daniel C. Dunn
Diego Ellis‐Soto
Antonio Ferraz
John Fieberg
Kimberly R. Hall
Neil Hammerschlag
Anne G. Hertel
Dongmin Kim
Samara Manzin
Clive R. McMahon
Robin Naidoo
Aidin Niamir
A. Justin Nowakowski
Matthew B. Ogburn
Jonathan Pye
José Manuel Reyes‐González
Nicholas J. Russo
Christian Rutz
Amy L. Scarpignato
Stella F. Uiterwaal
Raqib Valli
Alessandra Vidal Meza
George Wittemyer
The utility of herbarium collections for genetic monitoring
Isaac Eckert
Lucas Eckert
Olivia Rahn
Cameron So
Simon Joly
Abstract Despite growing evidence of widespread genetic responses to anthropogenic activity, data shortfalls constrain genetic monitoring ef… (voir plus)forts and preclude the widespread use of genetic data to inform conservation. For flora, one option is to leverage the wealth of genetic material preserved in Earth’s vast herbarium collections, but the extent to which herbarium specimens can supply the population-level data required to monitor genetic change remains unclear. Using the Essential Biodiversity Variable (EBV) framework developed to monitor population-level genetic change, we show that digitized herbarium specimens could be used to quantify ∼162 K measures of genetic EBVs representing over 41 K species, 86% of regions on Earth, and spanning the past 250 years of global change. As such, we find that herbarium collections offer an invaluable source of historical genetic data, the mobilization of which could transform global efforts to monitor and conserve plant diversity.
The Untapped Potential of Food Webs in Systematic Conservation Planning
Louise M. J. O'Connor
Wilfried Thuiller
Ulrich Brose
Éléonore Chenevois
Carla Freund
Benoit Gauzens
Pierre Gaüzere
Catherine Graham
Michael Harfoot
Myriam R. Hirt
Sébastien Lavergne
Luigi Maiorano
Atte Moilanen
Peter H. Verburg
Piero Visconti
International conservation policy includes the dual aims of protecting biodiversity and nature's contributions to people (NCP). Achieving th… (voir plus)ese goals requires protecting not only species and habitats but also the networks of biotic interactions that sustain them. Food webs, which represent predator‐prey interactions between species, are increasingly recognised as a link between ecosystem structure, function, and resilience, which are concepts that are frequently cited in conservation policy. Yet, conservation planning and policy typically focus on individual species and habitats and overlook the interactions that support their persistence. We review the literature at the intersection of food web ecology and conservation, and highlight how food webs can inform three conservation goals: preventing species extinctions, maintaining ecosystem functions and NCP, and fostering ecosystem resilience. Food web data and metrics, such as interaction diversity, trophic diversity, connectance, or modularity, can be used to prioritize species that are key to ecosystem structure and functioning, and to guide spatial prioritization to protect functionally diverse and resilient communities. Given the growing availability of food web data, incorporating food webs in conservation planning can lead to more effective and resilient conservation outcomes that sustain biodiversity and ecosystem functions in the long term.
BON in a Box: An Open and Collaborative Platform for Biodiversity Monitoring, Indicator Calculation, and Reporting
Jory Griffith
Jean-Michel Lord
Michael Catchen
María Isabel Arce-Plata
F Guillaume Blanchet
Mathusan Chandramohan
M Camila Diaz-Corzo
Gravel Dominique
César Gutiérrez
Isabelle S. Helfenstein
Sean Hoban
Jamie M. Kass
Linda Laikre
Guillaume Larocque
Deborah M. Leigh
Brian Leung
Alicia Mastretta‐Yanes
Katie L. Millette
Maria Alejandra Molina Berbeo
Dat Nguyen … (voir 27 de plus)
Kari Norman
María Helena Olaya-Rodríguez
Simon Pahls
Kaitlyn M. Pereira
Pedro R. Peres‐Neto
Timothée Poisot
Juan Carlos Rey-Velasco
Víctor J. Rincón-Parra
Claudia Roeoesli
François Rousseu
Lina María Sánchez-Clavijo
Meredith C. Schuman
Oliver Selmoni
Jessica M. da Silva
Erika Suárez-Valencia
Thilina D. Surasinghe
Eren Turak
Luis Urbina
Sarah Valentin
Noah Wightman
Juan Zuloaga
Maria Cecilia Londoño
Andrew Gonzalez
Manuel Galvez Bohorquez
Luis Felipe Verdeja González
Diego Moreno
Abstract The Convention on Biological Diversity’s Kunming–Montreal Global Biodiversity Framework (GBF) sets ambitious goals to protect a… (voir plus)nd restore biodiversity. It includes a monitoring framework that mandates countries to track progress toward these goals using indicators that summarize biodiversity trends. Calculating indicators is challenging for countries because of fragmented biodiversity monitoring efforts, technical barriers, a lack of available data and tools, and capacity bottlenecks. The BON in a Box platform for biodiversity monitoring and indicator calculation, developed by the Group on Earth Observations Biodiversity Observation Network, was created to address these challenges by providing open, transparent, and reproducible analysis pipelines that convert data into essential biodiversity variables and indicators. These pipelines are built by experts and contributed by the community, follow FAIR principles, and help scientists apply their research to coordinate biodiversity monitoring efforts, build capacity to track progress toward the GBF, and affect policy change.
Species Loss Scenarios Identify Canada's Northern Ecosystems as Disproportionately Vulnerable
Isaac Eckert
Dominique Caron
Trophic Interactions Are Key to Understanding the Effects of Global Change on the Distribution and Functional Role of the Brown Bear
Pablo M. Lucas
Wilfried Thuiller
Lauren Talluto
Ester Polaina
Jörg Albrecht
Nuria Selva
Marta De Barba
Vincenzo Penteriani
Maya Guéguen
Niko Balkenhol
Trishna Dutta
Ancuta Fedorca
Shane C. Frank
Andreas Zedrosser
Ivan Afonso‐Jordana
Hüseyin Ambarlı
Fernando Ballesteros
Andriy‐Taras Bashta
Cemal Can Bilgin
Neda Bogdanović … (voir 67 de plus)
Edgars Bojārs
Katarzyna Bojarska
Natalia Bragalanti
Henrik Brøseth
Mark W. Chynoweth
Duško Ćirović
Paolo Ciucci
Andrea Corradini
Daniele De Angelis
Miguel de Gabriel Hernando
Csaba Domokos
Aleksander Dutsov
Alper Ertürk
Stefano Filacorda
Lorenzo Frangini
Claudio Groff
Samuli Heikkinen
Bledi Hoxha
Djuro Huber
Otso Huitu
Georgeta Ionescu
Ovidiu Ionescu
Klemen Jerina
Ramon Jurj
Alexandros A. Karamanlidis
Jonas Kindberg
Ilpo Kojola
José Vicente López‐Bao
Peep Männil
Dime Melovski
Yorgos Mertzanis
Paolo Molinari
Anja Molinari‐Jobin
Andrea Mustoni
Javier Naves
Sergey Ogurtsov
Deniz Özüt
Santiago Palazón
Luca Pedrotti
Aleksandar Perović
Vladimir N. Piminov
Ioan‐Mihai Pop
Marius Popa
Maria Psaralexi
Pierre‐Yves Quenette
Georg Rauer
Slaven Reljic
Eloy Revilla
Urmas Saarma
Alexander P. Saveljev
Ali Onur Sayar
Çagan H. Şekercioğlu
Agnieszka Sergiel
George Sîrbu
Tomaž Skrbinšek
Michaela Skuban
Anil Soyumert
Aleksandar Stojanov
Egle Tammeleht
Konstantin Tirronen
Aleksandër Trajçe
Igor Trbojević
Tijana Trbojević
Filip Zięba
Diana Zlatanova
Tomasz Zwijacz‐Kozica
ABSTRACT Biotic interactions are expected to influence species' responses to global changes, but they are rarely considered across broad spa… (voir plus)tial extents. Abiotic factors are thought to operate at larger spatial scales, while biotic factors, such as species interactions, are considered more important at local scales within communities, in part because of the knowledge gap on species interactions at large spatial scales (i.e., the Eltonian shortfall). We assessed, at a continental scale, (i) the importance of biotic interactions, through food webs, on species distributions, and (ii) how biotic interactions under scenarios of climate and land‐use change may affect the distribution of the brown bear ( Ursus arctos ). We built a highly detailed, spatially dynamic, and empirically sampled food web based on the energy contribution of 276 brown bear food species from different taxa (plants, vertebrates, and invertebrates) and their ensemble habitat models at high resolution across Europe. Then, combining energy contribution and predicted habitat of food species, we modelled energy contribution across space and included these layers within Bayesian‐based models of the brown bear distribution in Europe. The inclusion of biotic interactions considerably improved our understanding of brown bear distribution at large (continental) scales compared with Bayesian models including only abiotic factors (climate and land use). Predicted future range shifts, which included changes in the distribution of food species, varied greatly when considering various scenarios of change in biotic factors, providing a warning that future indirect climate and land‐use change are likely to have strong but highly uncertain impacts on species biogeography. Our study confirmed that advancing our understanding of ecological networks of species interactions will improve future projections of biodiversity change, especially for modelling species distributions and their functional role under climate and land‐use change scenarios, which is key for effective conservation of biodiversity and ecosystem services.
Bridging biodiversity and ecosystem services through useful plant species
Nina Obiar
Isaac Eckert
Janelle Baker
Daniel Moerman
Harnessing artificial intelligence to fill global shortfalls in biodiversity knowledge
Justin Kitzes
Sara Beery
Kaitlyn M. Gaynor
Marta A. Jarzyna
Oisin Mac Aodha
Bernd Meyer
Graham W. Taylor
Devis Tuia
Tanya Berger-Wolf