about
Population status of a cryptic top predator: an island-wide assessment of tigers in Sumatran rainforestsMinimizing the cost of keeping options open for conservation in a changing climate.Ignoring imperfect detection in biological surveys is dangerous: a response to 'fitting and interpreting occupancy models'.Guidelines for Using Movement Science to Inform Biodiversity Policy.Statistical approaches to account for false-positive errors in environmental DNA samples.Deep-sea diversity patterns are shaped by energy availability.Breeding together: modeling synchrony in productivity in a seabird community.Satellite imagery as a single source of predictor variables for habitat suitability modelling: how Landsat can inform the conservation of a critically endangered lemurIs my species distribution model fit for purpose? Matching data and models to applicationsThreatened species impact assessments: survey effort requirements based on criteria for cumulative impactsAccounting for detectability when surveying for rare or declining reptiles: Turning rocks to find the Grassland Earless Dragon in AustraliaImperfect detection impacts the performance of species distribution modelsMaxent is not a presence-absence method: a comment on Thibaudet alAnalysing and mapping species range dynamics using occupancy modelsDesigning studies to detect differences in species occupancy: power analysis under imperfect detectionAdaptive management for improving species conservation across the captive-wild spectrumWhen do we need more data? A primer on calculating the value of information for applied ecologistsblock CV: An r package for generating spatially or environmentally separated folds for k -fold cross-validation of species distribution modelsRevealing beliefs: using ensemble ecosystem modelling to extrapolate expert beliefs to novel ecological scenariosLittle evidence of a road-effect zone for nocturnal, flying insectsInferring species richness using multispecies occupancy modeling: Estimation performance and interpretation
P50
Q21090985-B01739FE-7350-4AD1-B596-75619B719967Q30744998-720F47E5-49BC-4CF7-9192-8C9073C37C9EQ33975057-3EDD7B7D-33CF-4855-8A1C-AE1D97D1BAA3Q35671097-149F0578-B602-4DD7-A286-145FDC6CC68FQ35838341-5CF9FB23-A829-4ABC-9591-360616CD3FF4Q36021746-7CFC0276-0556-4083-B747-A544510A0B9EQ51228360-DB51E019-47DD-4E0F-BB9C-DD91DFC66A77Q56923905-0392B85C-8AEC-4664-9FC4-352D6683E6A9Q56929656-13FBC058-58E4-4EEF-B0E2-0E9C9E42905BQ56929663-DF585917-70E4-4FFA-ADFD-2C43C1FD8F89Q57007036-E822CD8E-DA3E-4A48-BC55-05A4CF94AE46Q57009407-27CE288D-B889-4EE2-AE63-15664772685DQ57009413-A1DBEAA9-524F-461A-8126-20225D544CD5Q57009421-AF3AB022-ADCE-4320-B19F-2219487037A4Q57009431-74B53F8C-0B29-4B1C-87FB-0784153811A1Q57703735-AB7D3BF8-41D7-4B1D-A567-2C7086267304Q57703738-7D7257D7-F73E-4FB8-95CA-EC16727E54BDQ60303646-C593A8A7-CD39-4F6A-9AEB-81CFC9621819Q60550839-3969878D-D11A-44B6-B0B9-7469AC97DCB1Q61454592-DC96FAFC-BA52-4225-8AA8-F211B69D98ACQ61799247-6699CFED-1A37-4DE9-87DA-F0B1D182B2F6
P50
description
hulumtues
@sq
onderzoeker
@nl
researcher
@en
հետազոտող
@hy
name
José J Lahoz-Monfort
@ast
José J Lahoz-Monfort
@en
José J Lahoz-Monfort
@es
José J Lahoz-Monfort
@nl
José J Lahoz-Monfort
@sl
type
label
José J Lahoz-Monfort
@ast
José J Lahoz-Monfort
@en
José J Lahoz-Monfort
@es
José J Lahoz-Monfort
@nl
José J Lahoz-Monfort
@sl
prefLabel
José J Lahoz-Monfort
@ast
José J Lahoz-Monfort
@en
José J Lahoz-Monfort
@es
José J Lahoz-Monfort
@nl
José J Lahoz-Monfort
@sl
P1053
O-3546-2017
P106
P1153
36056786800
P21
P31
P3829
P496
0000-0002-0845-7035