23 Works

Data from: State-and-transition simulation models: a framework for forecasting landscape change

Colin Daniel, Leonardo Frid, Benjamin Sleeter, Marie-Josée Fortin & Colin J. Daniel
A wide range of spatially explicit simulation models have been developed to forecast landscape dynamics, including models for projecting changes in both vegetation and land use. While these models have generally been developed as separate applications, each with a separate purpose and audience, they share many common features. We present a general framework, called a state-and-transition simulation model (STSM), which captures a number of these common features, accompanied by a software product, called ST-Sim, to...

Data from: A generalizable energetics-based model of avian migration to facilitate continental-scale waterbird conservation

Eric V. Lonsdorf, Wayne E. Thogmartin, Sarah Jacobi, Kevin Aagaard, Jorge Coppen, Amélie Davis, Timothy Fox, Patricia Heglund, Rex Johnson, Malcolm T. Jones, Kevin Kenow, James E. Lyons, Kirsten Luke, Shannon Still & Brian Tavernia
Conserving migratory birds is made especially difficult because of movement among spatially disparate locations across the annual cycle. In light of challenges presented by the scale and ecology of migratory birds, successful conservation requires integrating objectives, management, and monitoring across scales, from local management units to ecoregional and flyway administrative boundaries. We present an integrated approach using a spatially explicit energetic-based mechanistic bird migration model useful to conservation decision-making across disparate scales and locations. This...

Data from: Estimating population density and connectivity of American mink using spatial capture-recapture

Angela K. Fuller, Chris S. Sutherland, J. Andrew Royle & Matthew P. Hare
Estimating the abundance or density of populations is fundamental to the conservation and management of species, and as landscapes become more fragmented, maintaining landscape connectivity has become one of the most important challenges for biodiversity conservation. Yet these two issues have never been formally integrated together in a model that simultaneously models abundance while accounting for connectivity of a landscape. We demonstrate an application of using capture-recapture to develop a model of animal density using...

Data from: Species interactions and the effects of climate variability on a wetland amphibian metacommunity

Courtney L. Davis, David A.W. Miller, Susan C. Walls, William J. Barichivich, Jeffrey W. Riley, Mary E. Brown & David A. W. Miller
Disentangling the role that multiple interacting factors have on species responses to shifting climate poses a significant challenge. However, our ability to do so is of utmost importance to predict the effects of climate change on species distributions. We examined how populations of three species of wetland breeding amphibians, which varied in life history requirements, responded to a six-year period of extremely variable in precipitation. This interval was punctuated by both extensive drought and heavy...

Data from: A multistate dynamic site occupancy model for spatially aggregated sessile communities

Keiichi Fukaya, J. Andrew Royle, Takehiro Okuda, Masahiro Nakaoka & Takashi Noda
Estimation of transition probabilities of sessile communities seems easy in principle but may still be difficult in practice because resampling error (i.e. a failure to resample exactly the same location at fixed points) may cause significant estimation bias. Previous studies have developed novel analytical methods to correct for this estimation bias. However, they did not consider the local structure of community composition induced by the aggregated distribution of organisms that is typically observed in sessile...

Data from:Identification of landscape features influencing gene flow: how useful are habitat selection models?

Gretchen H. Roffler, Michael K. Schwartz, Kristine L. Pilgrim, Sandra L. Talbot, George K. Sage, Layne G. Adams, Gordon Luikart & Kristy L. Pilgrim
Understanding how dispersal patterns are influenced by landscape heterogeneity is critical for modelling species connectivity. Resource selection function (RSF) models are increasingly used in landscape genetics approaches. However, because the ecological factors that drive habitat selection may be different from those influencing dispersal and gene flow, it is important to consider their explicit assumptions. We calculated pairwise genetic distances among 301 Alaskan Dall’s sheep (Ovis dalli dalli) using an intensive sampling effort and 15 microsatellite...

Data from: Genetic reconstruction of a bullfrog invasion to elucidate vectors of introduction and secondary spread

Pauline L. Kamath, Adam J. Sepulveda & Megan Layhee
Reconstructing historical colonization pathways of an invasive species is critical for uncovering factors that determine invasion success and for designing management strategies. The American bullfrog (Lithobates catesbeianus) is endemic to eastern North America, but now has a global distribution and is considered to be one of the worst invaders in the world. In Montana, several introduced populations have been reported, but little is known of their sources and vectors of introduction and secondary spread. We...

Data from: Large-scale recovery of an endangered amphibian despite ongoing exposure to multiple stressors

Roland A. Knapp, Gary M. Fellers, Patrick M. Kleeman, David A. W. Miller, Vance T. Vredenburg, Erica Bree Rosenblum & Cheryl J. Briggs
Amphibians are one of the most threatened animal groups, with 32% of species at risk for extinction. Given this imperiled status, is the disappearance of a large fraction of the Earth’s amphibians inevitable, or are some declining species more resilient than is generally assumed? We address this question in a species that is emblematic of many declining amphibians, the endangered Sierra Nevada yellow-legged frog (Rana sierrae). Based on >7,000 frog surveys conducted across Yosemite National...

Data from: Conditional vulnerability of plant diversity to atmospheric nitrogen deposition across the United States

Samuel M. Simkin, Edith B. Allen, William D. Bowman, Christopher M. Clark, Jayne Belnap, Matthew L. Brooks, Brian S. Cade, Scott L. Collins, Linda H. Geiser, Frank S. Gilliam, Sarah E. Jovan, Linda H. Pardo, Bethany K. Schulz, Carly J. Stevens, Katharine N. Suding, Heather L. Throop & Donald M. Waller
Atmospheric nitrogen (N) deposition has been shown to decrease plant species richness along regional deposition gradients in Europe and in experimental manipulations. However, the general response of species richness to N deposition across different vegetation types, soil conditions, and climates remains largely unknown even though responses may be contingent on these environmental factors. We assessed the effect of N deposition on herbaceous richness for 15,136 forest, woodland, shrubland, and grassland sites across the continental United...

Data from: Keeping things local: subpopulation Nb and Ne in a stream network with partial barriers to fish migration

Andrew R. Whiteley, Jason A. Coombs, Matthew J. O'Donnell, Keith H. Nislow & Benjamin H. Letcher
For organisms with overlapping generations that occur in metapopulations, uncertainty remains regarding the spatio-temporal scale of inference of estimates of the effective number of breeders (N^b)and whether these estimates can be used to predict generational Ne. We conducted a series of tests of the spatio-temporal scale of inference of estimates of Nb in nine consecutive cohorts within a long-term study of brook trout (Salvelinus fontinalis). We also tested a recently developed approach to estimate generational...

Data from: Spatiotemporal patterns of duck nest density and predation risk: a multi-scale analysis of 18 years and more than 10 000 nests

Kevin Ringelman, John M. Eadie, Joshua T. Ackerman, Andy Sih, Daniel L. Loughman, Gregory S. Yarris, Shaun L. Oldenburger, M. Robert McLandress, Kevin M. Ringelman & Andrew Sih
Many avian species are behaviorally-plastic in selecting nest sites, and may shift to new locations or habitats following an unsuccessful breeding attempt. If there is predictable spatial variation in predation risk, the process of many individuals using prior experience to adaptively change nest sites may scale up to create shifting patterns of nest density at a population level. We used 18 years of waterfowl nesting data to assess whether there were areas of consistently high...

Data from: Climate, invasive species and land use drive population dynamics of a cold-water specialist

Ryan P. Kovach, Robert Al-Chokhachy, Diane C. Whited, David A. Schmetterling, Andrew M. Dux & Clint C. Muhlfeld
Climate change is an additional stressor in a complex suite of threats facing freshwater biodiversity, particularly for cold-water fishes. Research addressing the consequences of climate change on cold-water fish has generally focused on temperature limits defining spatial distributions, largely ignoring how climatic variation influences population dynamics in the context of other existing stressors. We used long-term data from 92 populations of bull trout Salvelinus confluentus – one of North America's most cold-adapted fishes – to...

Data from: Disentangling density-dependent dynamics using full annual cycle models and Bayesian model weight updating

Orin J. Robinson, Conor P. McGowan & Patrick K. Devers
Density dependence regulates populations of many species across all taxonomic groups. Understanding density dependence is vital for predicting the effects of climate, habitat loss and/or management actions on wild populations. Migratory species likely experience seasonal changes in the relative influence of density dependence on population processes such as survival and recruitment throughout the annual cycle. These effects must be accounted for when characterizing migratory populations via population models. To evaluate effects of density on seasonal...

Data from: Leaf development and demography explain photosynthetic seasonality in Amazon evergreen forests

Jin Wu, Loren P. Albert, Aline P. Lopes, Natalia Restrepo-Coupe, Matthew Hayek, Kenia T. Wiedemann, Kaiyu Guan, Scott C. Stark, Bradley Christoffersen, Neill Prohaska, Julia V. Tavares, Suelen Marostica, Hideki Kobayashi, Mauricio L. Ferreira, Kleber Silva Campos, Rodrigo Da Silva, Paulo M. Brando, Dennis G. Dye, Travis E. Huxman, Alfredo R. Huete, Bruce W. Nelson & Scott R. Saleska
In evergreen tropical forests, the extent, magnitude, and controls on photosynthetic seasonality are poorly resolved and inadequately represented in Earth system models. Combining camera observations with ecosystem carbon dioxide fluxes at forests across rainfall gradients in Amazônia, we show that aggregate canopy phenology, not seasonality of climate drivers, is the primary cause of photosynthetic seasonality in these forests. Specifically, synchronization of new leaf growth with dry season litterfall shifts canopy composition toward younger, more light-use...

Data from: Baseline glucocorticoids are drivers of body mass gain in a diving seabird

Holly L. Hennin, Alicia M. Wells-Berlin & Oliver P. Love
Life-history trade-offs are influenced by variation in individual state, with individuals in better condition often completing life-history stages with greater success. Although resource accrual significantly impacts key life-history decisions such as the timing of reproduction, little is known about the underlying mechanisms driving resource accumulation. Baseline corticosterone (CORT, the primary avian glucocorticoid) mediates daily and seasonal energetics, responds to changes in food availability, and has been linked to foraging behavior, making it a strong potential...

Data from: Evaluation of downscaled, gridded climate data for the conterminous United States

Ruben Behnke, Stephen Vavrus, Andrew Allstadt, Thomas Albright, Wayne E. Thogmartin & Volker C. Radeloff
Weather and climate affect many ecological processes, making spatially continuous yet fine-resolution weather data desirable for ecological research and predictions. Numerous downscaled weather data sets exist, but little attempt has been made to evaluate them systematically. Here we address this shortcoming by focusing on four major questions: (1) How accurate are downscaled, gridded climate data sets in terms of temperature and precipitation estimates? (2) Are there significant regional differences in accuracy among data sets? (3)...

Data from: Using spatial capture–recapture to elucidate population processes and space-use in herpetological studies

David J. Muñoz, David A. W. Miller, Chris Sutherland & Evan H. Campbell Grant
The cryptic behavior and ecology of herpetofauna make estimating the impacts of environmental change on demography difficult; yet, the ability to measure demographic relationships is essential for elucidating mechanisms leading to the population declines reported for herpetofauna worldwide. Recently developed spatial capture–recapture (SCR) methods are well suited to standard herpetofauna monitoring approaches. Individually identifying animals and their locations allows accurate estimates of population densities and survival. Spatial capture–recapture methods also allow estimation of parameters describing...

Data from: Vive la résistance: genome-wide selection against introduced alleles in invasive hybrid zones

Ryan P. Kovach, Brian K. Hand, Paul A. Hohenlohe, Ted F. Cosart, Matthew C. Boyer, Helen H. Neville, Clint C. Muhlfeld, Stephen J. Amish, Kellie Carim, Shawn R. Narum, Winsor H. Lowe, Fred W. Allendorf & Gordon Luikart
Evolutionary and ecological consequences of hybridization between native and invasive species are notoriously complicated because patterns of selection acting on non-native alleles can vary throughout the genome and across environments. Rapid advances in genomics now make it feasible to assess locus-specific and genome-wide patterns of natural selection acting on invasive introgression within and among natural populations occupying diverse environments. We quantified genome-wide patterns of admixture across multiple independent hybrid zones of native westslope cutthroat trout...

Data from: Habitat drives dispersal and survival of translocated juvenile desert tortoises

Melia G. Nafus, Todd C. Esque, Roy C. Averill-Murray, Kenneth E. Nussear & Ronald R. Swaisgood
In spite of growing reliance on translocations in wildlife conservation, translocation efficacy remains inconsistent. One factor that can contribute to failed translocations is releasing animals into poor-quality or otherwise inadequate habitat. Here, we used a targeted approach to test the relationship of habitat features to post-translocation dispersal and survival of juvenile Mojave desert tortoises Gopherus agassizii. We selected three habitat characteristics – rodent burrows, substrate texture (prevalence and size of rocks) and washes (ephemeral river...

Data from: Landscape genetic approaches to guide native plant restoration in the Mojave Desert

Daniel F. Shryock, Caroline A. Havrilla, Lesley A. DeFalco, Todd C. Esque, Nathan A. Custer & Troy E. Wood
Restoring dryland ecosystems is a global challenge due to synergistic drivers of disturbance coupled with unpredictable environmental conditions. Dryland plant species have evolved complex life-history strategies to cope with fluctuating resources and climatic extremes. Although rarely quantified, local adaptation is likely widespread among these species and potentially influences restoration outcomes. The common practice of reintroducing propagules to restore dryland ecosystems, often across large spatial scales, compels evaluation of adaptive divergence within these species. Such evaluations...

Data from: An integrated population model for bird monitoring in North America

Farshid S. Ahrestani, James F. Saracco, John R. Sauer, Keith Pardieck, J. Andrew Royle & Keith L. Pardieck
Integrated population models (IPMs) provide a unified framework for simultaneously analyzing data sets of different types to estimate vital rates, population size, and dynamics; assess contributions of demographic parameters to population changes; and assess population viability. Strengths of an IPM include the ability to estimate latent parameters and improve the precision of parameter estimates. We present a hierarchical IPM that combines two broad-scale avian monitoring data sets; count data from the North American Breeding Bird...

Data from: The role of habitat filtering in the leaf economics spectrum and plant susceptibility to pathogen infection

Miranda E. Welsh, James Patrick Cronin & Charles E. Mitchell
The leaf economics spectrum (LES) describes global covariation in the traits of plant leaves. The LES is thought to arise from biophysical constraints and habitat filtering (ecological selection against unfit trait combinations along environmental gradients). However, the role of habitat filtering in generating the LES has not been tested experimentally. If the process of habitat filtering plays a role in generating the LES, the LES could weaken in communities that have yet to be filtered...

Data from: Climate drives adaptive genetic responses associated with survival in big sagebrush (Artemisia tridentata)

Lindsay Chaney, Bryce A. Richardson & Matthew J. Germino
A genecological approach was used to explore genetic variation for survival in Artemisia tridentata (big sagebrush). Artemisia tridentata is a widespread and foundational shrub species in western North America. This species has become extremely fragmented, to the detriment of dependent wildlife, and efforts to restore it are now a land management priority. Common garden experiments were established at three sites with seedlings from 55 source-populations. Populations included each of the three predominant subspecies, and cytotype...

Registration Year

  • 2016

Resource Types

  • Dataset


  • United States Geological Survey
  • University of Montana
  • United States Fish and Wildlife Service
  • Pennsylvania State University
  • University of Massachusetts Amherst
  • University of Nevada Reno
  • United States Department of Agriculture
  • University of Wisconsin-Madison
  • University of California System
  • University of North Carolina