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Optimising long‐term monitoring projects for species distribution modelling: how atlas data may help
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/env.718openalex-snapshot
Dynamic design of ecological monitoring networks for non‐Gaussian spatio‐temporal data
inferredcites →https://doi.org/10.1007/s10531-004-0224-zopenalex-snapshot
An ED-based Protocol for Optimal Sampling of Biodiversity
inferredcites →https://doi.org/10.1007/s10531-008-9491-4openalex-snapshot
Butterfly monitoring in Europe: methods, applications and perspectives
inferredcites →https://doi.org/10.1016/j.biocon.2007.04.019openalex-snapshot
Fitness-related parameters improve presence-only distribution modelling for conservation practice: The case of the red-backed shrike
inferredcites →https://doi.org/10.1016/j.biocon.2009.05.006openalex-snapshot
eBird: A citizen-based bird observation network in the biological sciences
inferredcites →https://doi.org/10.1016/j.biocon.2011.11.021openalex-snapshot
Applying IUCN Red List criteria at a small regional level: A test case with butterflies in Flanders (north Belgium)
inferredcites →https://doi.org/10.1016/j.ecolmodel.2005.03.026openalex-snapshot
Maximum entropy modeling of species geographic distributions
inferredcites →https://doi.org/10.1017/cbo9781139022422openalex-snapshot
Design and Analysis of Long-term Ecological Monitoring Studies
inferredcites →https://doi.org/10.1017/cbo9781139022422.024openalex-snapshot
Study design and analysis options for demographic and species occurrence dynamics
inferredcites →https://doi.org/10.1017/cbo9781139022422.026openalex-snapshot
Optimal spatio-temporal monitoring designs for characterizing population trends
inferredcites →https://doi.org/10.1017/s0376892997000088openalex-snapshot
A review of methods for the assessment of prediction errors in conservation presence/absence models
inferredcites →https://doi.org/10.1071/mu07034openalex-snapshot
A review of terrestrial bird atlases of the world and their application
inferredcites →https://doi.org/10.1111/1365-2664.12158openalex-snapshot
Opportunistic citizen science data of animal species produce reliable estimates of distribution trends if analysed with occupancy models
inferredcites →https://doi.org/10.1111/ele.12189openalex-snapshot
Predicting species distributions for conservation decisions
inferredcites →https://doi.org/10.1111/geb.12087openalex-snapshot
Testing instead of assuming the importance of land use change scenarios to model species distributions under climate change
inferredcites →https://doi.org/10.1111/j.0021-8901.2004.00943.xopenalex-snapshot
The effects of species’ range sizes on the accuracy of distribution models: ecological phenomenon or statistical artefact?
inferredcites →https://doi.org/10.1111/j.0906-7590.2004.03764.xopenalex-snapshot
Presence‐absence versus presence‐only modelling methods for predicting bird habitat suitability
inferredcites →https://doi.org/10.1111/j.0906-7590.2006.04700.xopenalex-snapshot
The effect of sample size and species characteristics on performance of different species distribution modeling methods
inferredcites →https://doi.org/10.1111/j.0906-7590.2007.05045.xopenalex-snapshot
Limits to elevational distributions in two species of emberizine finches: disentangling the role of interspecific competition, autoecology, and geographic variation in the environment
inferredcites →https://doi.org/10.1111/j.1365-2664.2005.01098.xopenalex-snapshot
Designing occupancy studies: general advice and allocating survey effort
inferredcites →https://doi.org/10.1111/j.1365-2664.2008.01524.xopenalex-snapshot
Habitat suitability modelling and niche theory
inferredcites →https://doi.org/10.1111/j.1365-2664.2009.01724.xopenalex-snapshot
Trend estimation in populations with imperfect detection
inferredcites →https://doi.org/10.1111/j.1365-2699.2006.01584.xopenalex-snapshot
Five (or so) challenges for species distribution modelling
inferredcites →https://doi.org/10.1111/j.1365-2699.2006.01594.xopenalex-snapshot
ORIGINAL ARTICLE: Predicting species distributions from small numbers of occurrence records: a test case using cryptic geckos in Madagascar
inferredcites →https://doi.org/10.1111/j.1365-2699.2010.02345.xopenalex-snapshot
Predicting species distributions from checklist data using site‐occupancy models
inferredcites →https://doi.org/10.1111/j.1442-9993.2011.02314.xopenalex-snapshot
Improving biodiversity monitoring
inferredcites →https://doi.org/10.1111/j.1461-0248.2006.00977.xopenalex-snapshot
Spatial segregation of specialists and generalists in bird communities
inferredcites →https://doi.org/10.1111/j.1461-0248.2012.01772.xopenalex-snapshot
Accounting for dispersal and biotic interactions to disentangle the drivers of species distributions and their abundances
inferredcites →https://doi.org/10.1111/j.1466-8238.2011.00683.xopenalex-snapshot
Insights into the area under the receiver operating characteristic curve (AUC) as a discrimination measure in species distribution modelling
inferredcites →https://doi.org/10.1111/j.1469-185x.2009.00085.xopenalex-snapshot
Predators and the breeding bird: behavioral and reproductive flexibility under the risk of predation
inferredcites →https://doi.org/10.1111/j.1469-185x.2012.00235.xopenalex-snapshot
The role of biotic interactions in shaping distributions and realised assemblages of species: implications for species distribution modelling
inferredcites →https://doi.org/10.1111/j.1472-4642.2007.00339.xopenalex-snapshot
Updating bird species distribution at large spatial scales: applications of habitat modelling to data from long‐term monitoring programs
inferredcites →https://doi.org/10.1111/j.1472-4642.2007.00356.xopenalex-snapshot
The application of predictive modelling of species distribution to biodiversity conservation
inferredcites →https://doi.org/10.1111/j.1472-4642.2008.00482.xopenalex-snapshot
Effects of sample size on the performance of species distribution models
inferredcites →https://doi.org/10.1111/j.1472-4642.2011.00813.xopenalex-snapshot
Keep collecting: accurate species distribution modelling requires more collections than previously thought
inferredcites →https://doi.org/10.1111/j.1472-4642.2012.00899.xopenalex-snapshot
Calibration of hybrid species distribution models: the value of general‐purpose vs. targeted monitoring data
inferredcites →https://doi.org/10.1111/j.1600-0587.2009.05891.xopenalex-snapshot
Predicting species distributions based on incomplete survey data: the trade‐off between precision and scale
inferredcites →https://doi.org/10.1111/j.1600-0587.2009.06039.xopenalex-snapshot
The uncertain nature of absences and their importance in species distribution modelling
inferredcites →https://doi.org/10.1111/j.1600-0587.2010.06433.xopenalex-snapshot
Does accounting for imperfect detection improve species distribution models?
inferredcites →https://doi.org/10.1111/j.1600-0587.2011.06370.xopenalex-snapshot
Monitoring temporal trends in spatially structured populations: how should sampling effort be allocated between space and time?
inferredcites →https://doi.org/10.1111/j.1600-0587.2011.06545.xopenalex-snapshot
The effects of small sample size and sample bias on threshold selection and accuracy assessment of species distribution models
inferredcites →https://doi.org/10.1111/j.1654-1103.2009.01040.xopenalex-snapshot
Optimal spatio‐temporal hybrid sampling designs for ecological monitoring
inferredcites →https://doi.org/10.1111/j.2041-210x.2010.00036.xopenalex-snapshot
The art of modelling range-shifting species
inferredcites →https://doi.org/10.1111/j.2041-210x.2012.00225.xopenalex-snapshot
Designing studies to detect differences in species occupancy: power analysis under imperfect detection
inferredcites →https://doi.org/10.1111/jbi.12087openalex-snapshot
Analysing and mapping species range dynamics using occupancy models
inferredcites →https://doi.org/10.1556/comec.10.2009.2.9openalex-snapshot
The effect of prevalence and its interaction with sample size on the reliability of species distribution models
inferredcites →https://doi.org/10.1890/0012-9658(2003)084[0777:eafrpa]2.0.co;2openalex-snapshot
ESTIMATING ABUNDANCE FROM REPEATED PRESENCE–ABSENCE DATA OR POINT COUNTS
inferredcites →https://doi.org/10.1890/1051-0761(2006)016[1945:msrwsa]2.0.co;2openalex-snapshot
MODELING SPECIES–HABITAT RELATIONSHIPS WITH SPATIALLY AUTOCORRELATED OBSERVATION DATA
inferredcites →https://doi.org/10.1890/11-1662.1openalex-snapshot
Assessing the status and trend of bat populations across broad geographic regions with dynamic distribution models
inferredcites →https://doi.org/10.2307/1400634openalex-snapshot
An Improved Model for Spatially Correlated Binary Responses
inferredcites →https://doi.org/10.2981/0909-6396(2006)12[450:oeamip]2.0.co;2openalex-snapshot
Occupancy Estimation and Modeling. Inferring patterns and dynamics of species occurrence
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4725873openalex-extracted
Assessing Environmental DNA for Estuarine Fish Habitat Modeling: A Comparison with a Traditional Approach
inferred← citeshttps://doi.org/10.1002/ece3.3201openalex-snapshot
Spatial models to account for variation in observer effort in bird atlases
inferred← citeshttps://doi.org/10.1002/ece3.71854openalex-snapshot
Can eDNA Replace Trawl Surveys for Estuarine Species Distribution Modeling: Insights From Collichthys lucidus in the Yangtze River Estuary
inferred← citeshttps://doi.org/10.1007/s00477-018-1548-7openalex-snapshot
Species distribution modeling: a statistical review with focus in spatio-temporal issues
inferred← citeshttps://doi.org/10.1016/j.ecoinf.2023.102229openalex-snapshot
On using stratified two-stage sampling for large-scale multispecies surveys
inferred← citeshttps://doi.org/10.1016/j.ecoinf.2026.103681openalex-snapshot
The Frankenstein species distribution modelling: A composite Bayesian framework accounting for spatio-temporal heterogeneity in ecologically diverse regions
inferred← citeshttps://doi.org/10.1016/j.ecolmodel.2022.110170openalex-snapshot
SDM profiling: A tool for assessing the information-content of sampled and unsampled locations for species distribution models
inferred← citeshttps://doi.org/10.1016/j.jnc.2015.03.003openalex-snapshot
Towards a global terrestrial species monitoring program
inferred← citeshttps://doi.org/10.1016/j.spasta.2017.08.001openalex-snapshot
Spatio-Temporal model structures with shared components for semi-continuous species distribution modelling
inferred← citeshttps://doi.org/10.1111/1365-2664.12515openalex-snapshot
Reconciling expert judgement and habitat suitability models as tools for guiding sampling of threatened species
inferred← citeshttps://doi.org/10.1111/cobi.13415openalex-snapshot
Integrating intraseasonal grassland dynamics in cross‐scale distribution modeling to support waterbird recovery plans
inferred← citeshttps://doi.org/10.1111/ecog.01212openalex-snapshot
Using multiple‐source occurrence data to identify patterns and drivers of decline in arid‐dwelling Australian marsupials
inferred← citeshttps://doi.org/10.1111/gcb.16114openalex-snapshot
Sampling and modelling rare species: Conceptual guidelines for the neglected majority
inferred← citeshttps://doi.org/10.1111/ibi.12561openalex-snapshot
Raising the bar for the next generation of biological atlases: using existing data to inform the design and implementation of atlas monitoring
inferred← citeshttps://doi.org/10.1371/journal.pone.0213542openalex-snapshot
Completeness of Digital Accessible Knowledge (DAK) about terrestrial mammals in the Iberian Peninsula
inferred← citeshttps://doi.org/10.14712/23361964.2024.11openalex-snapshot
The Silva Gabreta biodiversity monitoring database: assessing biological diversity in the Šumava National Park, Czech Republic
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