Papers

• Hocking DJ, Crawford JA, Peterman WE, and Milanovich JR. (2021) Abundance of montane salamanders over an elevational gradient. Ecology and Evolution 11:1378–1391. DOI: 10.1002/ece3.7142. Code
• Essington, T., E.J. Ward, T.B. Francis, C. Greene, L. Kuehne, and D. Lowry. 2021. Historical reconstruction of the Puget Sound (USA) groundfish community. Marine Ecology Progress Series, 657:173–189
• Feddern, M.F., G.W. Holtgrieve, and E.J. Ward. 2021. Stable isotope signatures in archival pinniped bone link food web-assimilated carbon and nitrogen to a century of environmental change. Global Change Biology
• Shelton, A.O., G.H. Sullaway, B.E. Feist, E.J. Ward, K.A. Somers, V.J. Tuttle, J.T. Watson, and W.H. Satterthwaite. 2020. Redistribution of salmon populations in the Northeast Pacific Ocean in response to climate. Fish and Fisheries
• Smith ANH, Acuña-Marrero D, Salinas-de-León P, Harvey ES, Pawley MDM, Anderson MJ (2020) Instantaneous vs. non-instantaneous diver-operated stereo-video (DOV) surveys of highly mobile sharks in the Galápagos Marine Reserve. Marine Ecology Progress Series 649:111–123. DOI: 10.3354/meps13447 Supplementary 1: Code Supplementary 2: Code
• Litzow, M.A., M.J. Malick, N.A. Bond, C.J. Cunningham, J.L. Gosselin, and E.J. Ward. 2020. Quantifying a novel climate through changes in Pdo-climate and Pdo-salmon relationships. Geophysical Research Letters, 47:e2020GL087972
• Litzow, M., M.E. Hunsicker, E.J. Ward, S.C. Anderson, J. Gao, S. Zador, S. Batten, S. Dressel, J. Duffy-Anderson, E. Fergusson, R. Hopcroft, B. Laurel, and R. O’Malley. 2020. Evaluating ecosystem change as Gulf of Alaska temperature exceeds the limits of preindustrial variability. Progress in Oceanography, 186:102393
• Hance et al. (2019) A temporally stratified extension of space‐for‐time Cormack–Jolly–Seber for migratory animals. Biometrics.
• Stoddard MC et al. Wild hummingbirds discriminate nonspectral colors. PNAS. 2020. DOI: 10.1073/pnas.1919377117
• Ward, Eric J., Sean C. Anderson, Luis A. Damiano, Mary E. Hunsicker, and Mike A. Litzow. 2019. Modeling regimes with extremes: the bayesdfa package for identifying and forecasting common trends and anomalies in multivariate time-series data. The R Journal, 11:46-55 bayesdfa
• Shelton, A.O., W.H. Satterthwaite, E.J. Ward, B.E. Feist, and B.J. Burke. 2019. Using hierarchical models to estimate stock-specific and seasonal variation in ocean distribution, survivorship, and aggregate abundance of fall run Chinook salmon.. Canadian Journal of Fisheries and Aquatic Sciences, 76:95–108
• Joseph MB. Neural hierarchical models of ecological populations. BioRxiv. 2019 Jan 1:759944.
• Young J-G, Valdovinos FS, Newman MEJ, 2019. Reconstruction of plant–pollinator networks from observational data. bioRxiv:2019/754077.
• Ranjeva SL, Mihaljevic JR, Joseph MB, Giuliano AR and Dwyer G, 2019. Untangling the dynamics of persistence and colonization in microbial communities. The ISME journal, pp.1-13.
• Joseph MB, Rossi MW, Mietkiewicz NP, Mahood AL, Cattau ME, St. Denis LA, Nagy RC, Iglesias V, Abatzoglou JT, Balch JK. 2019. Spatiotemporal prediction of wildfire size extremes with Bayesian finite sample maxima. Ecological Applications e01898.
• Scherer RD, Hansen EC, Joseph MB, Wack RF. 2019. Estimating relationships between size and fecundity in the threatened giant gartersnake in semi-natural and agricultural wetlands. Population Ecology 61(2): 141-149.
• Joseph MB, Knapp RA. 2018. Disease and climate effects on individuals drive post‐reintroduction population dynamics of an endangered amphibian. Ecosphere 9 (11).
• Joseph MB, Stutz WE, Johnson PTJ. 2016. Multilevel models for the distribution of hosts and symbionts. PLOS ONE 11(11): e0165768.
• Joseph MB, Preston DL, Johnson PTJ. 2015. Integrating occupancy models and structural equation models to understand species occurrence. Ecology 97 (3).
• Philippe Marchand Liza S. Comita S. Joseph Wright Richard Condit Stephen P. Hubbell Noelle G. Beckman (2019) Seed‐to‐seedling transitions exhibit distance‐dependent mortality but no strong spacing effects in a Neotropical forest
• Gregory L. Britten, Michael Dowd, Lisa Kanary & Boris Worm (2017) Extended fisheries recovery timelines in a changing environment
• Benjamin Rosenbaum, Michael Raatz3, Guntram Weithoff, Gregor F. Fussmann and Ursula Gaedke (2019) Estimating Parameters From Multiple Time Series of Population Dynamics Using Bayesian Inference
• Sean C. Anderson and Eric J. Ward. Black swans in space: modeling spatiotemporal processes with extremes. Ecology, 100:1–9. glmmfields
• Eric J. Ward Sean C. Anderson Andrew O. Shelton Richard E. Brenner Milo D. Adkison Anne H. Beaudreau Jordan T. Watson Jennifer C. Shriver Alan C. Haynie Benjamin C. Williams (2017) Effects of increased specialization on revenue of Alaskan salmon fishers over four decades
• Sean C. Anderson, Eric J. Ward, Andrew O. Shelton, Milo D. Adkison, Anne H. Beaudreau, Richard E. Brenner, Alan C. Haynie, Jennifer C. Shriver, Jordan T. Watson, and Benjamin C. Williams (2017) Benefits and risks of diversification for individual fishers
• Emma L Betty, Karen A Stockin, Adam N H Smith, Barbara Bollard, Mark B Orams, Sinéad Murphy (2019) Sexual maturation in male long-finned pilot whales (Globicephala melas edwardii): defining indicators of sexual maturity
• Authier et al. (2014) How much are stranding records affected by variation in reporting rates? A case study of small delphinids in the Bay of Biscay Biodiversity Conservation
• Peltier et al. (2016) Small cetacean bycatch as estimated from stranding schemes: The common dolphin case in the northeast Atlantic Environmental Science and Policy
• Bouchard et al. (2019) A risk‐based forecast of extreme mortality events in small cetaceans: Using stranding data to inform conservation practice Conservation Letters
• Cox et al. High mortality rates in a juvenile free‐ranging marine predator and links to dive and forage ability
• Dan Ovando (dissertation chapter) Improving Fisheries Stock Assessment by Integrating Economic Theory and Data
• Ville Laitinen and Leo Lahti. A hierarchical Ornstein-Uhlenbeck model for stochastic time series analysis Advances in Intelligent Data Analysis XVII. Lecture Notes in Computer Science 11191., Springer, India, 2018. Conference proceedings.
• Roy W.Martin Eric R.Waits Christopher T.Nietch (2018) Empirically-based modeling and mapping to consider the co-occurrence of ecological receptors and stressors
• Stephen A Wood, Dereje Tirfessa, Frederic Baudron (2018) Soil organic matter underlies crop nutritional quality and productivity in smallholder agriculture Agriculture, Ecosystems and Environment.
• Williamson, M. A., Fleishman, E., Mac Nally, R. C., Chambers, J. C., Bradley, B. A., Dobkin, D. S., Board, David I., Fogarty, F. A., Horning, N., Leu, M., & Wohlfeil Zillig, M. (2020). Fire, livestock grazing, topography, and precipitation affect occurrence and prevalence of cheatgrass (Bromus tectorum) in the central Great Basin, USA. Biological Invasions, 22(2), 663–680.