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  • Spatial variation in early‐winter snow cover determines local dynamics in a network of alpine butterfly populations
    Ecography (IF 6.455) Pub Date : 2020-11-20
    Jens Roland; Alessandro Filazzola; Stephen F. Matter

    Snow cover is an extremely variable but critical component of alpine environments. We use long term population data on multiple small populations of the alpine butterfly Parnassius smintheus, combined with high‐resolution satellite imagery of meadows, to show a strong link between fine‐scale spatial and temporal variation in early‐winter snow cover and annual change in butterfly population size, accounting

  • Elevation filters seed traits and germination strategies in the eastern Tibetan Plateau
    Ecography (IF 6.455) Pub Date : 2020-11-17
    Xuejing Wang; Mariano Alvarez; Kathleen Donohue; Wenjing Ge; Yueqian Cao; Kun Liu; Guozhen Du; Haiyan Bu

    Seeds are the colonizing propagules for many plants and may therefore contribute to the filtering of species during the process of colonization and community assembly. Environmental filtering of seed traits may occur among species and influence community composition, or within species and influence the environmental breadth that a given species inhabits. To test for evidence of such filtering of seed

  • Explainable artificial intelligence enhances the ecological interpretability of black‐box species distribution models
    Ecography (IF 6.455) Pub Date : 2020-11-17
    Masahiro Ryo; Boyan Angelov; Stefano Mammola; Jamie M. Kass; Blas M. Benito; Florian Hartig

    Species distribution models (SDMs) are widely used in ecology, biogeography and conservation biology to estimate relationships between environmental variables and species occurrence data and make predictions of how their distributions vary in space and time. During the past two decades, the field has increasingly made use of machine learning approaches for constructing and validating SDMs. Model accuracy

  • Developing generalized sampling schemes with known error properties: the case of a moving observer
    Ecography (IF 6.455) Pub Date : 2020-11-17
    Nao Takashina; Evan P. Economo

    Pattern in space and time is central to ecology, and adequately designed ecological sampling is needed to resolve those patterns, pursue ecological questions and design conservation strategies. Recently, there has been an explosion of various ecological data due to the proliferation of online data‐sharing platforms, citizen science programs and new technology such as unmanned aerial vehicles (UAVs)

  • Combining species distribution models and population genomics underlines the determinants of range limitation in an emerging parasite
    Ecography (IF 6.455) Pub Date : 2020-11-17
    Eglantine Mathieu‐Bégné; Géraldine Loot; Elise Mazé‐Guilmo; Valentin Mullet; Clémence Genthon; Simon Blanchet

    Understanding the drivers of species distribution is necessary in order to properly predict the future geographical ranges of colonizing species. Yet this task is challenging for species involved in intimate interactions, such as parasites, since their distribution is likely shaped by a complex interplay between environmental‐related and host‐related factors. Here we developed an original approach

  • Assessing functional redundancy in Eurasian small mammal assemblages across multiple traits and biogeographic extents
    Ecography (IF 6.455) Pub Date : 2020-11-10
    Pablo Moreno‐García; Benjamin Baiser

    Functional redundancy (FR) is commonly invoked as one of the main mechanisms underlying ecological resilience. However, little is known about the extension of FR from single to multiple functions and its variation among ecological assemblages at biogeographic scales. We studied 51 assemblages of Eurasian small mammals (Mammalia: Rodentia and Mammalia: Soricomorpha), analyzing FR across and within assemblages

  • Transferability of trait‐based species distribution models
    Ecography (IF 6.455) Pub Date : 2020-11-10
    Peter A. Vesk; William K. Morris; Will C. Neal; Karel Mokany; Laura J. Pollock

    The need for reliable prediction of species distributions dependent upon traits has been hindered by a lack of model transferability testing. We tested the predictive capacity of trait‐SDMs by fitting hierarchical generalised linear models with three trait and four environmental predictors for 20 eucalypt taxa in a reference region. We used these models to predict occurrence for a much larger set of

  • Impact of landscape fragmentation and climate change on body size variation of bumblebees during the last century
    Ecography (IF 6.455) Pub Date : 2020-11-10
    Maxence Gérard; Leon Marshall; Baptiste Martinet; Denis Michez

    Body size is a key parameter of organism fitness. While the impact of climate change on body size has received increasing attention, the long‐term consequences of landscape fragmentation are still poorly known. These two major global threats may potentially induce opposite trends: the decrease of body size in warmer environments (e.g. individuals developing faster) or the selection of larger individuals

  • Spatial scaling properties of coral reef benthic communities
    Ecography (IF 6.455) Pub Date : 2020-11-10
    Helen V. Ford; Jamison M. Gove; Andrew J. Davies; Nicholas A. J. Graham; John R. Healey; Eric J. Conklin; Gareth J. Williams

    The spatial structure of ecological communities on tropical coral reefs across seascapes and geographies have historically been poorly understood. Here we addressed this for the first time using spatially expansive and thematically resolved benthic community data collected around five uninhabited central Pacific oceanic islands, spanning 6° latitude and 17° longitude. Using towed‐diver digital image

  • Dispersal evolution in currents: spatial sorting promotes philopatry in upstream patches
    Ecography (IF 6.455) Pub Date : 2020-11-10
    R. L. Allgayer; A. Scarpa; P. G. Fernandes; P. J. Wright; L. Lancaster; G. Bocedi; J. M. J. Travis

    Substantial literature is devoted to understanding dispersal evolution, but we lack theory on how dispersal evolves when populations inhabit currents. Such theory is required for understanding connectivity in freshwater and marine environments; moreover, many animals, fungi and plants rely on wind‐based dispersal, but the effects of currents on dispersal evolution in these organisms is unknown. We

  • iucn_sim: a new program to simulate future extinctions based on IUCN threat status
    Ecography (IF 6.455) Pub Date : 2020-11-10
    Tobias Andermann; Søren Faurby; Robert Cooke; Daniele Silvestro; Alexandre Antonelli

    The ongoing environmental crisis poses an urgent need to forecast the who, where and when of future species extinctions, as such information is crucial for targeting conservation efforts. Commonly, such forecasts are made based on conservation status assessments produced by the International Union for Conservation of Nature (IUCN). However, when researchers apply these IUCN conservation status data

  • Latitudinal gradients in genetic diversity and natural selection at a highly adaptive gene in terrestrial mammals
    Ecography (IF 6.455) Pub Date : 2020-11-10
    Li Yiming; Wang Siqi; Cheng Chaoyuan; Zhang Jiaqi; Wang Supen; Hou Xianglei; Liu Xuan; Yang Xuejiao; Li Xianping

    Identifying where high genetic diversity is located across our planet and what factors affect the geographical patterns of genetic variation not only provides important insights into distributions of biodiversity but is also crucial for human health, animal and plant breeding and biodiversity conservation. Recent studies show that genetic diversity at nearly neutral genes decreases from the tropics

  • The Amazon river is a suture zone for a polyphyletic group of co‐mimetic heliconiine butterflies
    Ecography (IF 6.455) Pub Date : 2020-11-10
    Neil Rosser; Leila T. Shirai; Kanchon K. Dasmahapatra; James Mallet; André V. L. Freitas

    The Amazon basin contains few obvious geographic barriers, yet it is the most biodiverse region on Earth. One hypothesis to explain its diversity is that the very large rivers promote allopatric divergence. Consistent with this, maps of heliconiine butterflies made from museum specimens show high subspecies richness close to the Amazon river, suggesting that it may produce or maintain intra‐specific

  • Inferred seasonal interaction rewiring of a freshwater stream fish network
    Ecography (IF 6.455) Pub Date : 2020-11-09
    Chris Brimacombe; Korryn Bodner; Marie‐Josée Fortin

    Despite evidence that seasonal variation may lead to the persistence of competing species, studies on the effect of seasonality on community network structures are sparse. Identifying whether seasonal network changes are the result of turnover or rewiring (i.e. rearrangement of interactions among species), also remains understudied in multi‐trophic communities. Using species abundance data for 38 species

  • A global framework for linking alpine‐treeline ecotone patterns to underlying processes
    Ecography (IF 6.455) Pub Date : 2020-11-09
    Maaike Y. Bader; Luis D. Llambí; Bradley S. Case; Hannah L. Buckley; Johanna M. Toivonen; J. Julio Camarero; David M. Cairns; Carissa D. Brown; Thorsten Wiegand; Lynn M. Resler

    Globally, treeline ecotones vary from abrupt lines to extended zones of increasingly small, stunted and/or dispersed trees. These spatial patterns contain information about the processes that control treeline dynamics. Describing these patterns consistently along ecologically meaningful dimensions is needed for generalizing hypotheses and knowledge about controlling processes and expected treeline

  • The challenge of novel abiotic conditions for species undergoing climate‐induced range shifts
    Ecography (IF 6.455) Pub Date : 2020-09-29
    Austin R. Spence; Morgan W. Tingley

    Coincident with recent global warming, species have shifted their geographic distributions to cooler environments, generally by moving along thermal axes to higher latitudes, higher elevations or deeper waters. While these shifts allow organisms to track their thermal niche, these three thermal axes also covary with non‐climatic abiotic factors that could pose challenges to range‐shifting plants and

  • Artificial nightlight alters the predator–prey dynamics of an apex carnivore
    Ecography (IF 6.455) Pub Date : 2020-10-18
    Mark A. Ditmer; David C. Stoner; Clinton D. Francis; Jesse R. Barber; James D. Forester; David M. Choate; Kirsten E. Ironside; Kathleen M. Longshore; Kent R. Hersey; Randy T. Larsen; Brock R. McMillan; Daniel D. Olson; Alyson M. Andreasen; Jon P. Beckmann; P. Brandon Holton; Terry A. Messmer; Neil H. Carter

    Artificial nightlight is increasingly recognized as an important environmental disturbance that influences the habitats and fitness of numerous species. However, its effects on wide‐ranging vertebrates and their interactions remain unclear. Light pollution has the potential to amplify land‐use change, and as such, answering the question of how this sensory stimulant affects behavior and habitat use

  • Revealing hidden plant diversity in arid environments
    Ecography (IF 6.455) Pub Date : 2020-10-11
    Gabriela Carrasco‐Puga; Francisca P. Díaz; Daniela C. Soto; Catalina Hernández‐Castro; Orlando Contreras‐López; Antonio Maldonado; Claudio Latorre; Rodrigo A. Gutiérrez

    Estimating total plant diversity in extreme or hyperarid environments can be challenging, as adaptations to pronounced climate variability include evading prolonged stress periods through seeds or specialized underground organs. Short‐term surveys of these ecosystems are thus likely poor estimators of actual diversity. Here we develop a multimethod strategy to obtain a more complete understanding of

  • sampbias, a method for quantifying geographic sampling biases in species distribution data
    Ecography (IF 6.455) Pub Date : 2020-10-08
    Alexander Zizka; Alexandre Antonelli; Daniele Silvestro

    Geo‐referenced species occurrences from public databases have become essential to biodiversity research and conservation. However, geographical biases are widely recognized as a factor limiting the usefulness of such data for understanding species diversity and distribution. In particular, differences in sampling intensity across a landscape due to differences in human accessibility are ubiquitous

  • A dimmer shade of pale: revealing the faint signature of local assembly processes on the structure of strongly filtered plant communities
    Ecography (IF 6.455) Pub Date : 2020-10-08
    Jesús López‐Angulo; Marcelino de la Cruz; David S. Pescador; Ana M. Sánchez; Adrián Escudero

    Trait‐based ecology suggests that abiotic filtering is the main mechanism structuring the regional species pool in different subsets of habitat‐specific species. At more local spatial scales, other ecological processes may add on giving rise to complex patterns of functional diversity (FD). Understanding how assembly processes operating on the habitat‐specific species pools produce the locally observed

  • Body mass‐related changes in mammal community assembly patterns during the late Quaternary of North America
    Ecography (IF 6.455) Pub Date : 2020-10-08
    Silvia Pineda‐Munoz; Advait M. Jukar; Anikó B. Tóth; Danielle Fraser; Andrew Du; W. Andrew Barr; Kathryn L. Amatangelo; Meghan A. Balk; Anna K. Behrensmeyer; Jessica Blois; Matt Davis; Jussi T. Eronen; Nicholas J. Gotelli; Cindy Looy; Joshua H. Miller; Alexandria B. Shupinski; Laura C. Soul; Amelia Villaseñor; Scott Wing; S. Kathleen Lyons

    The late Quaternary of North America was marked by prominent ecological changes, including the end‐Pleistocene megafaunal extinction, the spread of human settlements and the rise of agriculture. Here we examine the mechanistic reasons for temporal changes in mammal species association and body size during this time period. Building upon the co‐occurrence results from Lyons et al. (2016) – wherein each

  • Onward but not always upward: individualistic elevational shifts of tree species in subtropical montane forests
    Ecography (IF 6.455) Pub Date : 2020-10-08
    Kirsten S. W. O'Sullivan; Paloma Ruiz‐Benito; Jan‐Chang Chen; Alistair S. Jump

    Ongoing global climate change is driving widespread shifts in species distributions. Trends show frequent upwards shifts of treelines, but information on changes in montane forest below the treeline and in the tropics and subtropics is limited, despite the importance of these areas for biodiversity and ecosystem function. Patterns of species shifts in tropical and subtropical regions are likely to

  • Large‐scale longitudinal climate gradient across the Palearctic region affects passerine feather moult extent
    Ecography (IF 6.455) Pub Date : 2020-10-08
    Yosef Kiat; Batmunkh Davaasuren; Tuvshinjargal Erdenechimeg; David Troupin; Nir Sapir

    Large‐scale spatial gradients of environmental conditions shape organisms, populations and ecosystems. Even though environmental gradients are a key research theme in macro‐ecology and biogeography, the effects of large‐scale, east–west, environmental gradients are largely overlooked compared with north–south gradients. Our study focused on feather moult, an important and energy demanding process in

  • Inconsistent detection of extinction debts using different methods
    Ecography (IF 6.455) Pub Date : 2020-10-08
    Lucy E. Ridding; Adrian C. Newton; Sally A. Keith; Robin M. Walls; Anita Diaz; Richard F. Pywell; James M. Bullock

    The extinction debt, delayed species extinctions following landscape degradation, is a widely discussed concept. But a consensus about the prevalence of extinctions debts is hindered by a multiplicity of methods and a lack of comparisons among habitats. We applied three contrasting species–area relationship methods to test for plant community extinction debts in three habitats which had different degradation

  • Fire characteristics and environmental conditions shape plant communities via regeneration strategy
    Ecography (IF 6.455) Pub Date : 2020-07-27
    Nicola J. Day; Alison L. White; Jill F. Johnstone; Geneviève É. Degré‐Timmons; Steven G. Cumming; Michelle C. Mack; Merritt R. Turetsky; Xanthe J. Walker; Jennifer L. Baltzer

    Climate change is altering disturbance regimes outside historical norms, which can impact biodiversity by selecting for plants with particular traits. The relative impact of disturbance characteristics on plant traits and community structure may be mediated by environmental gradients. We aimed to understand how wildfire impacted understory plant communities and plant regeneration strategies along gradients

  • Climate, soil resources and microbial activity shape the distributions of mountain plants based on their functional traits
    Ecography (IF 6.455) Pub Date : 2020-07-27
    Camille Martinez‐Almoyna; Gabin Piton; Sylvain Abdulhak; Louise Boulangeat; Philippe Choler; Thierry Delahaye; Cédric Dentant; Arnaud Foulquier; Jérôme Poulenard; Virgile Noble; Julien Renaud; Maxime Rome; Amélie Saillard; ; Wilfried Thuiller; Tamara Münkemüller

    While soil ecosystems undergo important modifications due to global change, the effect of soil properties on plant distributions is still poorly understood. Plant growth is not only controlled by soil physico‐chemistry but also by microbial activities through the decomposition of organic matter and the recycling of nutrients essential for plants. A growing body of evidence also suggests that plant

  • Mammal population densities at a global scale are higher in human‐modified areas
    Ecography (IF 6.455) Pub Date : 2020-09-29
    Marlee A. Tucker; Luca Santini; Chris Carbone; Thomas Mueller

    Global landscapes are changing due to human activities with consequences for both biodiversity and ecosystems. For single species, terrestrial mammal population densities have shown mixed responses to human pressure, with both increasing and decreasing densities reported in the literature. How the impacts of human activities on mammal populations translates into altered global density patterns remains

  • Source pools and disharmony of the world's island floras
    Ecography (IF 6.455) Pub Date : 2020-09-22
    Christian König; Patrick Weigelt; Amanda Taylor; Anke Stein; Wayne Dawson; Franz Essl; Jan Pergl; Petr Pyšek; Mark van Kleunen; Marten Winter; Cyrille Chatelain; Jan J. Wieringa; Pavel Krestov; Holger Kreft

    Island disharmony refers to the biased representation of higher taxa on islands compared to their mainland source regions and represents a central concept in island biology. Here, we develop a generalizable framework for approximating these source regions and conduct the first global assessment of island disharmony and its underlying drivers. We compiled vascular plant species lists for 178 oceanic

  • New insights into the patterns and drivers of avian altitudinal migration from a growing crowdsourcing data source
    Ecography (IF 6.455) Pub Date : 2020-09-22
    Pei‐Yu Tsai; Chie‐Jen Ko; Stephanie Yuan Chia; Ya‐Jung Lu; Mao‐Ning Tuanmu

    Altitudinal migration is a common and important but understudied behavior in birds. Difficulty in characterizing avian altitudinal migration has prevented a comprehensive understanding of this behavior. To address this, we investigated the altitudinal migration patterns and explored potential drivers for a major proportion (~70%) of the entire resident bird community along an almost 4000 m elevational

  • Drivers of global variation in land ownership
    Ecography (IF 6.455) Pub Date : 2020-09-15
    Patrick H. Kavanagh; Hannah J. Haynie; Geoff Kushnick; Bruno Vilela; Ty Tuff; Claire Bowern; Bobbi S. Low; Carol R. Ember; Kathryn R. Kirby; Carlos A. Botero; Michael C. Gavin

    Land ownership shapes natural resource management and social–ecological resilience, but the factors determining ownership norms in human societies remain unclear. Here we conduct a global empirical test of long‐standing theories from ecology, economics and anthropology regarding potential drivers of land ownership and territoriality. Prior theory suggests that resource defensibility, subsistence strategies

  • Monitoring and predictive mapping of floristic biodiversity along a climatic gradient in ENSO's terrestrial core region, NW Peru
    Ecography (IF 6.455) Pub Date : 2020-09-15
    Jannes Muenchow; Petra Dieker; Thea Böttcher; Jonas Brock; Gregor Didenko; Tobias Fremout; Desiree Jakubka; Anke Jentsch; Daniel Nüst; Michael Richter; Eric Frank Rodríguez; Rodolfo Arismendiz Rodríguez; Rütger Rollenbeck; Pablo Salazar Zarsosa; Patrick Schratz; Alexander Brenning

    The tropical dry forests of NW Peru are heavily shaped by the El Niño Southern Oscillation (ENSO), where especially El Niño brings rain to arid to semi‐arid areas. However, the resulting effects on biodiversity patterns remain largely unknown as well as the effect of environmental variables on the floristic composition under varying rainfall patterns. Therefore, we studied the spatio‐temporal effects

  • The world's southernmost tree and the climate and windscapes of the southernmost forests
    Ecography (IF 6.455) Pub Date : 2020-09-09
    Brian Buma; Andrés Holz; Iván Diaz; Ricardo Rozzi

    The world's southernmost tree has been documented along with the condition and growth pattern of the world's southernmost forest on Isla Hornos, Chile. The distribution of trees at broad scales is strongly influenced by the abiotic environment and determining the position and condition of tree limits around the world is an important way to monitor global change. This offers an ideal way to test the

  • The impact of thermal seasonality on terrestrial endotherm food web dynamics: a revision of the Exploitation Ecosystem Hypothesis
    Ecography (IF 6.455) Pub Date : 2020-09-06
    Tarja Oksanen; Lauri Oksanen; Katariina E. M. Vuorinen; Christopher Wolf; Aurelia Mäkynen; Johan Olofsson; William J. Ripple; Risto Virtanen; Tove Aa. Utsi

    Many terrestrial endotherm food webs constitute three trophic level cascades. Others have two trophic level dynamics (food limited herbivores; plants adapted to tackle intense herbivory) or one trophic level dynamic (herbivorous endotherms absent, thus plants compete for the few places where they can survive and grow). According to the Exploitation Ecosystems Hypothesis (EEH), these contrasting dynamics

  • Mechanistic insights into the role of large carnivores for ecosystem structure and functioning
    Ecography (IF 6.455) Pub Date : 2020-09-06
    Selwyn Hoeks; Mark A. J. Huijbregts; Michela Busana; Michael B. J. Harfoot; Jens‐Christian Svenning; Luca Santini

    Large carnivores can exert top–down effects in ecosystems, but the size of these effects are largely unknown. Empirical investigation on the importance of large carnivores for ecosystem structure and functioning presents a number of challenges due to the large spatio‐temporal scale and the complexity of such dynamics. Here, we applied a mechanistic global ecosystem model to investigate the influence

  • Phenological delay despite warming in wood frog Rana sylvatica reproductive timing: a 20‐year study
    Ecography (IF 6.455) Pub Date : 2020-09-02
    A. Z. Andis Arietta; L. Kealoha Freidenburg; Mark C. Urban; Susan B. Rodrigues; Adriana Rubinstein; David K. Skelly

    Across all taxa, amphibians exhibit some of the strongest phenological shifts in response to climate change. As climates warm, amphibians and other animals are expected to breed earlier in response to temperature cues. However, if species use fixed cues such as daylight, their breeding timing might remain fixed, potentially creating disconnects between their life history and environmental conditions

  • Testing the ability of species distribution models to infer variable importance
    Ecography (IF 6.455) Pub Date : 2020-09-02
    Adam B. Smith; Maria J. Santos

    Models of species’ distributions and niches are frequently used to infer the importance of range‐ and niche‐defining variables. However, the degree to which these models can reliably identify important variables and quantify their influence remains unknown. Here we use a series of simulations to explore how well models can 1) discriminate between variables with different influence and 2) calibrate

  • Unifying conspecific‐encounter index v and Moran's I index
    Ecography (IF 6.455) Pub Date : 2020-08-27
    Youhua Chen; Tsung‐Jen Shen

    Single‐species distributional patterns have been well studied and quantified using a negative binomial model. However, it is still unclear how to quantify multi‐species distribution patterns. A previous study (Chen et al. 2019) developed a simple conspecific‐encounter index for quantifying multi‐species distributional aggregation patterns when biodiversity data are collected in a consecutive scheme

  • Jumping into the grids: mapping biodiversity hotspots in groundwater habitat types across Europe
    Ecography (IF 6.455) Pub Date : 2020-08-18
    Mattia Iannella; Barbara Fiasca; Tiziana Di Lorenzo; Maurizio Biondi; Mattia Di Cicco; Diana M. P. Galassi

    Biodiversity hotspots are routinely identified by grid‐based analyses, despite grids encompassing different habitats, thus hindering the potential to assess which habitat type accounts for the conservation priority assigned to a grid. In this study, we aimed at identifying the main hotspots for the conservation of the European stygobitic Crustacea Copepoda Harpacticoida at the groundwater habitat scale

  • Assessing year‐round habitat use by migratory sea ducks in a multi‐species context reveals seasonal variation in habitat selection and partitioning
    Ecography (IF 6.455) Pub Date : 2020-08-18
    Juliet S. Lamb; Peter W. C. Paton; Jason E. Osenkowski; Shannon S. Badzinski; Alicia M. Berlin; Tim Bowman; Chris Dwyer; Luke J. Fara; Scott G. Gilliland; Kevin Kenow; Christine Lepage; Mark L. Mallory; Glenn H. Olsen; Matthew C. Perry; Scott A. Petrie; Jean‐Pierre L. Savard; Lucas Savoy; Michael Schummer; Caleb S. Spiegel; Scott R. McWilliams

    Long‐distance migration presents complex conservation challenges, and migratory species often experience shortfalls in conservation due to the difficulty of identifying important locations and resources throughout the annual cycle. In order to prioritize habitats for conservation of migratory wildlife, it is necessary to understand how habitat needs change throughout the annual cycle, as well as to

  • Disentangling drivers of spatial autocorrelation in species distribution models
    Ecography (IF 6.455) Pub Date : 2020-08-17
    Konrad P. Mielke; Tom Claassen; Michela Busana; Tom Heskes; Mark A. J. Huijbregts; Kees Koffijberg; Aafke M. Schipper

    Species distribution models (SDMs) are frequently used to understand the influence of site properties on species occurrence. For robust model inference, SDMs need to account for the spatial autocorrelation of virtually all species occurrence data. Current methods do not routinely distinguish between extrinsic and intrinsic drivers of spatial autocorrelation, although these may have different implications

  • Cold and hungry: combined effects of low temperature and resource scarcity on an edge‐of‐range temperate primate, the golden snub‐nose monkey
    Ecography (IF 6.455) Pub Date : 2020-08-17
    Rong Hou; Colin A. Chapman; Ollie Jay; Songtao Guo; Baoguo Li; David Raubenheimer

    Both biotic and abiotic factors play important roles in influencing ecological distributions and niche limits. Where biotic and abiotic stressors co‐occur in space and time, homeostatic systems face a scenario in which stressors can compound to impose a challenge that is greater than the sum of the separate factors. We studied the homeostatic strategies of the golden snub‐nosed monkey Rhinopithecus

  • Geographic patterns and environmental correlates of phylogenetic relatedness and diversity for freshwater fish assemblages in North America
    Ecography (IF 6.455) Pub Date : 2020-08-10
    Hong Qian; Yong Cao; Daijiang Li; Cindy Chu; Brody Sandel; Xianli Wang

    The tropical niche conservatism hypothesis suggests that most groups should be most phylogenetically clustered in cold, dry environments. This idea has been well‐tested in plants and some animal groups, but not for fishes. We assess the geographic patterns of freshwater fish phylogenetic structure and investigate the relationships between these patterns and environmental variables across North America

  • A cross‐scale framework to support a mechanistic understanding and modelling of marine climate‐driven species redistribution, from individuals to communities
    Ecography (IF 6.455) Pub Date : 2020-08-04
    Samantha Twiname; Asta Audzijonyte; Julia L. Blanchard; Curtis Champion; Thibaut de la Chesnais; Quinn P. Fitzgibbon; Hannah E. Fogarty; Alistair J. Hobday; Rachel Kelly; Kieran J. Murphy; Michael Oellermann; Patricia Peinado; Sean Tracey; Cecilia Villanueva; Barrett Wolfe; Gretta T. Pecl

    Climate‐driven species redistribution is pervasive and accelerating, yet the complex mechanisms at play remain poorly understood. The implications of large‐scale species redistribution for natural systems and human societies have resulted in a large number of studies exploring the effects on individual species and ecological communities worldwide. Whilst many studies have investigated discrete components

  • Blind assessment of vertebrate taxonomic diversity across spatial scales by clustering environmental DNA metabarcoding sequences
    Ecography (IF 6.455) Pub Date : 2020-08-04
    Virginie Marques; Pierre‐Édouard Guérin; Mathieu Rocle; Alice Valentini; Stéphanie Manel; David Mouillot; Tony Dejean

    Human activities impact all ecosystems on Earth, which urges scientists to better understand biodiversity changes across temporal and spatial scales. Environmental DNA (eDNA) metabarcoding is a promising non‐invasive method to assess species composition in a wide range of ecosystems. Yet, this method requires the completeness of a reference database, i.e. a list of DNA sequences attached to each species

  • Matching the forecast horizon with the relevant spatial and temporal processes and data sources
    Ecography (IF 6.455) Pub Date : 2020-08-04
    Peter B. Adler; Ethan P. White; Michael H. Cortez

    Most phenomenological, statistical models used to generate ecological forecasts take either a time‐series approach, based on long‐term data from one location, or a space‐for‐time approach, based on data describing spatial patterns across environmental gradients. However, the magnitude and even the sign of environment–response relationships detected using these two approaches often differs, leading

  • Simulation modeling reveals the evolutionary role of landscape shape and species dispersal on genetic variation within a metapopulation
    Ecography (IF 6.455) Pub Date : 2020-07-29
    Ming‐Chih Chiu; Kei Nukazawa; Thaddeus Carvajal; Vincent H. Resh; Bin Li; Kozo Watanabe

    Different shapes of landscape boundaries can affect the habitat networks within them and consequently the spatial genetic‐patterns of a metapopulation. In this study, we used a mechanistic framework to evaluate the effects of landscape shape, through watershed elongation, on genetic divergence among populations at the metapopulation scale. Empirical genetic data from four, sympatric stream‐macroinvertebrates

  • Insect occurrence in agricultural land‐uses depends on realized niche and geographic range properties
    Ecography (IF 6.455) Pub Date : 2020-07-29
    Conor A. Waldock; Adriana De Palma; Paulo A. V. Borges; Andy Purvis

    Geographic range size predicts species’ responses to land‐use change and intensification, but the reason why is not well established because many correlates of larger geographic ranges, such as realized niche breadth, may mediate species’ responses to environmental change. Agricultural land uses (hereafter ‘agroecosystems’) have warm, dry and more variable microclimates than do cooler and wetter mature

  • Climate more important than soils for predicting forest biomass at the continental scale
    Ecography (IF 6.455) Pub Date : 2020-07-29
    Alison C. Bennett; Trent D. Penman; Stefan K. Arndt; Stephen H. Roxburgh; Lauren T. Bennett

    Above‐ground biomass in forests is critical to the global carbon cycle as it stores and sequesters carbon from the atmosphere. Climate change will disrupt the carbon cycle hence understanding how climate and other abiotic variables determine forest biomass at broad spatial scales is important for validating and constraining Earth System models and predicting the impacts of climate change on forest

  • Conservation of species interactions to achieve self‐sustaining ecosystems
    Ecography (IF 6.455) Pub Date : 2020-07-27
    Julia Helena Heinen; Carsten Rahbek; Michael Krabbe Borregaard

    A desirable goal of nature management is to re‐establish self‐sustaining ecosystems that ensure the persistence of natural habitats and species without requiring active management. Such self‐sustainability relies on functional species interactions; yet, species interactions are often overlooked in the conservation literature, and when designing species‐specific management efforts. Some interactions

  • Geographic patterns and environmental correlates of taxonomic and phylogenetic beta diversity for large‐scale angiosperm assemblages in China
    Ecography (IF 6.455) Pub Date : 2020-07-27
    Hong Qian; Yi Jin; Fabien Leprieur; Xianli Wang; Tao Deng

    A full understanding of the origin and maintenance of β‐diversity patterns in a region requires exploring the relationships of both taxonomic and phylogenetic β‐diversity (TBD and PBD, respectively), and their respective turnover and nestedness components, with geographic and environmental distances. Here, we simultaneously investigated all these aspects of β‐diversity for angiosperms in China. Specifically

  • Projected migrations of southern Indian Ocean albatrosses as a response to climate change
    Ecography (IF 6.455) Pub Date : 2020-07-21
    Marius Somveille; Maria P. Dias; Henri Weimerskirch; Tammy E. Davies

    Anthropogenic climate change is altering the geographical distribution and regular movements of species. Highly‐mobile pelagic seabirds, such as albatrosses, are particularly threatened by human activities, such as fisheries bycatch. Predicting the impact of climate change on how these animals roam the ocean is an important step towards making informed conservation decisions. In this study, we used

  • Interspecific competition constrains local abundance in highly suitable areas
    Ecography (IF 6.455) Pub Date : 2020-07-21
    Alan Gerhardt Braz; Carlos Eduardo de Viveiros Grelle; Marcos de Souza Lima Figueiredo; Marcelo de Moraes Weber

    Sites with high environmental suitability for species’ occurrence, in terms of abiotic conditions, may hold populations with higher local abundances by increasing reproductive and survival rates and decreasing extinction rate. Interspecific competition, however, may affect this relationship. Here we tested the hypothesis that local abundance of the gray slender opossum Marmosops incanus is affected

  • Essential krill species habitat resolved by seasonal upwelling and ocean circulation models within the large marine ecosystem of the California Current System
    Ecography (IF 6.455) Pub Date : 2020-07-21
    Megan A. Cimino; Jarrod A. Santora; Isaac Schroeder; William Sydeman; Michael G. Jacox; Elliott L. Hazen; Steven J. Bograd

    Due to their global distribution, high biomass and energy content, euphausiids (krill) are important prey for many mid and upper trophic level marine organisms. Understanding drivers of krill habitat is essential for forecasting range shifts, and to better understand the response of krill predators to climate change. We hypothesized that the distribution and abundance of krill species derived from

  • Postglacial recolonization of North America by spadefoot toads: integrating niche and corridor modeling to study species’ range dynamics over geologic time
    Ecography (IF 6.455) Pub Date : 2020-07-21
    Iulian Gherghel; Ryan Andrew Martin

    Understanding the factors that shape species’ distributions is a key topic in biogeography. As climates change, species can either cope with these changes through evolution, plasticity or by shifting their ranges to track the optimal climatic conditions. Ecological niche modeling (ENM) is a widespread technique in biogeography that estimates the niche of the organism by using occurrences and environmental

  • Evolutionary patterns in the geographic range size of Atlantic Forest plants
    Ecography (IF 6.455) Pub Date : 2020-07-17
    Tarciso C. C. Leão; Eimear Nic Lughadha; Peter B. Reich

    Species’ geographic range size is arguably the single most important predictor of vulnerability to extinction and a key metric in ecology. Despite this, patterns of specific variation in range size and their underlying reasons are still poorly understood. For example, hypotheses on how evolutionary history affects range size have scarcely been tested. To address these questions, we focused on Brazil's

  • Spatial modelling of ecological indicator values improves predictions of plant distributions in complex landscapes
    Ecography (IF 6.455) Pub Date : 2020-07-14
    Patrice Descombes; Lorenz Walthert; Andri Baltensweiler; Reto Giulio Meuli; Dirk N. Karger; Christian Ginzler; Damaris Zurell; Niklaus E. Zimmermann

    Ecologically meaningful predictors are often neglected in plant distribution studies, resulting in incomplete niche quantification and low predictive power of species distribution models (SDMs). Because environmental data are rare and expensive to collect, and because their relationship with local climatic and topographic conditions are complex, mapping them over large geographic extents and at high

  • Allopatry increases the balance of phylogenetic trees during radiation under neutral speciation
    Ecography (IF 6.455) Pub Date : 2020-07-14
    Flavia Maria Darcie Marquitti; Lucas D. Fernandes; Marcus Aloizio Martinez de Aguiar

    The shape of a phylogenetic tree is defined by the sequence of speciation events, represented by its branching points, and extinctions, represented by branch interruptions. In a neutral scenario of parapatry and isolation by distance, species tend to branch off the original population one after the other, leading to highly unbalanced trees. In this case the degree of imbalance, measured by the normalized

  • Demographic shifts in eastern US forests increase the impact of late‐season drought on forest growth
    Ecography (IF 6.455) Pub Date : 2020-07-14
    Tsun Fung Au; Justin T. Maxwell; Kimberly A. Novick; Scott M. Robeson; Scott M. Warner; Benjamin R. Lockwood; Richard P. Phillips; Grant L. Harley; Frank W. Telewski; Matthew D. Therrell; Neil Pederson

    While forest communities are changing as a result of global environmental change, the impacts of tree species shifts on ecosystem services such as carbon storage are poorly quantified. In many parts of the eastern United States (US), more xeric‐adapted oak‐hickory dominated stands are being replaced with mesic beech‐maple assemblages. To examine the possible impacts of this ongoing change in forest

  • Exploring larval phenology as predictor for range expansion in an invasive species
    Ecography (IF 6.455) Pub Date : 2020-07-14
    Luis Giménez; Michael Exton; Franziska Spitzner; Rebecca Meth; Ursula Ecker; Simon Jungblut; Steffen Harzsch; Reinhard Saborowski; Gabriela Torres

    Predicting range expansion of invasive species is one of the key challenges in ecology. We modelled the phenological window for successful larval release and development (WLR) in order to predict poleward expansion of the invasive crab Hemigrapsus sanguineus along the Atlantic coast of North America and north Europe. WLR quantifies the number of opportunities (in days) when larval release leads to

  • Is more data always better? A simulation study of benefits and limitations of integrated distribution models
    Ecography (IF 6.455) Pub Date : 2020-07-14
    Emily G. Simmonds; Susan G. Jarvis; Peter A. Henrys; Nick J. B. Isaac; Robert B. O'Hara

    Species distribution models are popular and widely applied ecological tools. Recent increases in data availability have led to opportunities and challenges for species distribution modelling. Each data source has different qualities, determined by how it was collected. As several data sources can inform on a single species, ecologists have often analysed just one of the data sources, but this loses

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