Improving occupancy estimation when two types of observational error occur: non-detection and species misidentification.
about
iDNA from terrestrial haematophagous leeches as a wildlife surveying and monitoring tool - prospects, pitfalls and avenues to be developed.Integrating occurrence and detectability patterns based on interview data: a case study for threatened mammals in Equatorial Guinea.Determining Occurrence Dynamics when False Positives Occur: Estimating the Range Dynamics of Wolves from Public Survey DataDesigning better frog call recognition models.The effect of call libraries and acoustic filters on the identification of bat echolocation.Observer aging and long-term avian survey data quality.Operator bias in software-aided bat call identification.Replication levels, false presences and the estimation of the presence/absence from eDNA metabarcoding data.Reconstructing long-term human impacts on plant communities: an ecological approach based on lake sediment DNA.Modeling false positive detections in species occurrence data under different study designs.A multispecies dependent double-observer model: A new method for estimating multispecies abundance.On a dhole trail: examining ecological and anthropogenic correlates of dhole habitat occupancy in the Western ghats of IndiaCharacterisation of false-positive observations in botanical surveys.Toxoplasma gondii exposure in arctic-nesting geese: A multi-state occupancy framework and comparison of serological assays.Heterogeneous occupancy and density estimates of the pathogenic fungus Batrachochytrium dendrobatidis in waters of North America.All that glisters is not gold: sampling-process uncertainty in disease-vector surveys with false-negative and false-positive detectionsThe future of environmental DNA in ecology.Efficient species-level monitoring at the landscape scale.Explaining local-scale species distributions: relative contributions of spatial autocorrelation and landscape heterogeneity for an avian assemblage.Capitalizing on opportunistic data for monitoring relative abundances of species.Statistical approaches to account for false-positive errors in environmental DNA samples.Patterns of Snow Leopard Site Use in an Increasingly Human-Dominated Landscape.Environmental DNA (eDNA) Detection Probability Is Influenced by Seasonal Activity of OrganismsMonitoring for the Management of Disease Risk in Animal Translocation Programmes.Modeling spatiotemporal dynamics of outbreaking species: influence of environment and migration in a locust.Community occupancy before-after-control-impact (CO-BACI) analysis of Hurricane Gudrun on Swedish forest birds.Pairing field methods to improve inference in wildlife surveys while accommodating detection covariance.Experimental investigation of false positive errors in auditory species occurrence surveys.The power of monitoring: optimizing survey designs to detect occupancy changes in a rare amphibian population.The interplay of various sources of noise on reliability of species distribution models hinges on ecological specialisation.ednaoccupancy: An r package for multiscale occupancy modelling of environmental DNA data.How to limit false positives in environmental DNA and metabarcoding?Accommodating species identification errors in transect surveys.Design- and model-based recommendations for detecting and quantifying an amphibian pathogen in environmental samples.Surveillance of vector-borne pathogens under imperfect detection: lessons from Chagas disease risk (mis)measurement.The Certainty of Uncertainty: Potential Sources of Bias and Imprecision in Disease Ecology Studies.Improving geographically extensive acoustic survey designs for modeling species occurrence with imperfect detection and misidentification.Lessons from lady beetles: accuracy of monitoring data from US and UK citizen-science programsIs my species distribution model fit for purpose? Matching data and models to applicationsUncertainty, priors, autocorrelation and disparate data in downscaling of species distributions
P2860
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P2860
Improving occupancy estimation when two types of observational error occur: non-detection and species misidentification.
description
2011 nî lūn-bûn
@nan
2011年の論文
@ja
2011年学术文章
@wuu
2011年学术文章
@zh
2011年学术文章
@zh-cn
2011年学术文章
@zh-hans
2011年学术文章
@zh-my
2011年学术文章
@zh-sg
2011年學術文章
@yue
2011年學術文章
@zh-hant
name
Improving occupancy estimation ...... and species misidentification.
@en
Improving occupancy estimation ...... and species misidentification.
@nl
type
label
Improving occupancy estimation ...... and species misidentification.
@en
Improving occupancy estimation ...... and species misidentification.
@nl
prefLabel
Improving occupancy estimation ...... and species misidentification.
@en
Improving occupancy estimation ...... and species misidentification.
@nl
P2093
P2860
P356
P1433
P1476
Improving occupancy estimation ...... and species misidentification.
@en
P2093
Brett T Mcclintock
Evan H Campbell Grant
James D Nichols
L Larissa L Bailey
P2860
P304
P356
10.1890/10-1396.1
P407
P577
2011-07-01T00:00:00Z