about
Slow climate velocities of mountain streams portend their role as refugia for cold-water biodiversityModelling dendritic ecological networks in space: an integrated network perspective.A general framework for the analysis of animal resource selection from telemetry data.Quasi-Poisson vs. negative binomial regression: how should we model overdispersed count data?A model-based approach for making ecological inference from distance sampling data.Trends in spatial patterns of heavy metal deposition on national park service lands along the Red Dog Mine haul road, Alaska, 2001-2006.Discretized and aggregated: modeling dive depth of harbor seals from ordered categorical data with temporal autocorrelation.Haul-out behavior of harbor seals (Phoca vitulina) in Hood Canal, Washington.A comparison of the spatial linear model to Nearest Neighbor (k-NN) methods for forestry applicationsWhen to be discrete: the importance of time formulation in understanding animal movementSpatially Estimating Disturbance of Harbor Seals (Phoca vitulina)Validation and comparison of geostatistical and spline models for spatial stream networksAccounting for uncertainty in ecological analysis: the strengths and limitations of hierarchical statistical modeling.Long-term recovery patterns of arctic tundra after winter seismic exploration.Prevalence of Soboliphyme baturini in marten (Martes americana) populations from three regions of Alaska, 1990-1998.Serologic survey for Brucella spp., phocid herpesvirus-1, phocid herpesvirus-2, and phocine distemper virus in harbor seals from Alaska, 1976-1999.Last call: Passive acoustic monitoring shows continued rapid decline of critically endangered vaquita.Passive acoustic monitoring of the decline of Mexico's critically endangered vaquita.A Bayesian hierarchical model of Antarctic fur seal foraging and pup growth related to sea ice and prey abundance.Spatial patterns of cadmium and lead deposition on and adjacent to National Park Service lands in the vicinity of Red Dog Mine, Alaska.Serologic survey for Trichinella spp. in grizzly bears from Alaska.Prevalence of Trichinella nativa in lynx (Felis lynx) from Alaska, 1988-1993.A mixed-model moving-average approach to geostatistical modeling in stream networks.The sequential megafaunal collapse hypothesis: Testing with existing dataOn the relationship between conditional (CAR) and simultaneous (SAR) autoregressive modelsSpatial autoregressive models for statistical inference from ecological dataScalable population estimates using spatial-stream-network (SSN) models, fish density surveys, and national geospatial database frameworks for streamsSpatial Analysis in EcologyThe Torgegram for Fluvial Variography: Characterizing Spatial Dependence on Stream NetworksExtinction is Imminent for Mexico's Endemic Porpoise Unless Fishery Bycatch is EliminatedUsing spatiotemporal statistical models to estimate animal abundance and infer ecological dynamics from survey countsEstimating Abundance from Counts in Large Data Sets of Irregularly Spaced Plots using Spatial Basis FunctionsIterating on a single model is a viable alternative to multimodel inferenceNatural and human effects on harbor seal abundance and spatial distribution in an Alaskan glacial fjordAerial Survey DataBiogeographyDemographic Stochastic ModelsModel-Assisted SamplingSpatial Analysis in EcologyEstimating multispecies abundance using automated detection systems: ice-associated seals in the Bering Sea
P50
Q28834355-5AEE148F-C58A-4012-91A8-ADB94997F5B9Q30596598-44C51677-6187-4B13-B842-DC103EB97BDBQ31138175-5A629249-E3EE-405E-813C-2303766A0D7BQ31138597-AAF13383-8BFA-4CA8-A1E1-73D7268B7A77Q33449800-02334B6E-71C7-4247-BAF3-6235A7A875E2Q33704340-37BA3B2E-0313-44AD-9AB9-8F567AEE5074Q34084003-927529F5-209F-4DA1-9F9C-415C7F9A45D3Q34313829-8C5638D3-1C84-4803-965C-3AF19522D4C7Q34634696-BFE43CB4-E572-4088-99E3-6210CC4C37CAQ35111631-558AA8CA-DA55-46B5-8315-2660D74C6E3FQ35679805-9C924B35-D981-446B-B21B-35A974C881AEQ37156044-4F960E42-FA0C-4174-854C-177B0C8EA911Q37474682-C0661F33-BF89-41A3-950A-1184BA93B29CQ39109635-AE3C53B5-199B-4752-AD63-C5F0C63C1555Q45239832-87B44779-8957-48F5-8DE3-9C604A297018Q45414052-0AB414F9-C0C7-4FF0-A9EF-C3BE09650D65Q46040839-6E9A359C-BB36-4730-87C3-DF9AFA56A522Q46089350-5DAA980C-E866-4C1D-8D69-DC8DBFAF3B74Q47737202-ED0D4B42-DB79-4ECD-8265-95A43D0BB75BQ50755068-785C35D1-79B4-4C65-98C7-280C38ADB2CCQ50942607-379264CC-45D1-4E6D-8A19-6EDFD046F0E7Q51037978-8BFEE6B7-20E0-496B-915C-27D6E1625254Q51631953-E068DFB0-617F-45DA-918A-4C53C0CC7C4FQ55888894-019CF106-E7DC-422A-AF29-B6EF18D0285FQ58055850-FE066EB2-513A-4DC4-B5F6-D4673ED3498BQ58055851-934E8F41-7C3E-4734-9EF5-D0659CD09A5AQ58055852-648E67EF-7306-48A4-BAF3-3BD51743CB96Q58055853-FA283FF6-B26F-4484-9155-2B110A324944Q58055855-AC59A119-F0EF-4EDF-A63C-467E08A74C6AQ58055857-E4F4FCBC-C372-4127-9B22-3CF65DDB6C5CQ58055858-9B39FB71-0A22-4030-A83C-FC86EABDB6ADQ58055859-DC0869B3-2F3F-43EE-A0D9-48903CF2FDF1Q58055860-874E9589-3DE5-49C3-9772-9CBB2ABD9911Q58055862-4E903D2D-975D-4546-99A5-C599C278477DQ58055866-3C6D8890-71C7-402D-BCD9-1D3A13050340Q58055868-2A1451C6-EA8D-4A85-AE97-7764D589D61AQ58055869-71E4F09F-BD9E-443B-A8C7-B15331479A2DQ58055870-A6767C78-4F73-43B1-B2C5-3A41CA09DB0FQ58055872-6FFED9BE-A792-4623-AF9C-D0E96F71E1F6Q58055873-93FE72FA-0D3F-4696-8E6D-AB03CFB35B22
P50
description
researcher
@en
wetenschapper
@nl
հետազոտող
@hy
name
Jay M Ver Hoef
@ast
Jay M Ver Hoef
@en
Jay M Ver Hoef
@es
Jay M Ver Hoef
@nl
type
label
Jay M Ver Hoef
@ast
Jay M Ver Hoef
@en
Jay M Ver Hoef
@es
Jay M Ver Hoef
@nl
altLabel
J.M.V. Hoef
@en
Jay M. Ver Hoef
@en
Jay M.V. Hoef
@en
Jay Ver Hoef
@en
prefLabel
Jay M Ver Hoef
@ast
Jay M Ver Hoef
@en
Jay M Ver Hoef
@es
Jay M Ver Hoef
@nl
P1053
C-8577-2017
P106
P108
P1153
6701631330
P1960
I9q4usgAAAAJ
P2038
Jay_Ver_Hoef
P31
P3829
P496
0000-0003-4302-6895