On the public citation graph
Integrating citizen science data with expert surveys increases accuracy and spatial extent of species distribution models
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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/eap.1658openalex-snapshot
Using ricelands to provide temporary shorebird habitat during migration
inferredcites →https://doi.org/10.1002/eap.2056openalex-snapshot
Modeling avian full annual cycle distribution and population trends with citizen science data
inferredcites →https://doi.org/10.1002/ecy.1710openalex-snapshot
Integrating multiple data sources in species distribution modeling: a framework for data fusion
inferredcites →https://doi.org/10.1007/978-3-319-44953-1_44openalex-snapshot
Behavior Identification in Two-Stage Games for Incentivizing Citizen Science Exploration
inferredcites →https://doi.org/10.1016/j.biocon.2009.11.016openalex-snapshot
Multi-species occurrence models to evaluate the effects of conservation and management actions
inferredcites →https://doi.org/10.1016/j.biocon.2013.11.003openalex-snapshot
The eBird enterprise: An integrated approach to development and application of citizen science
inferredcites →https://doi.org/10.1016/j.compag.2012.03.005openalex-snapshot
CropScape: A Web service based application for exploring and disseminating US conterminous geospatial cropland data products for decision support
inferredcites →https://doi.org/10.1016/j.tree.2019.04.005openalex-snapshot
Ecological Data Should Not Be So Hard to Find and Reuse
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/10.1046/j.1365-2664.1998.00274.xopenalex-snapshot
Winter management of Californian rice fields for waterbirds
inferredcites →https://doi.org/10.1046/j.1523-1739.2003.01361.xopenalex-snapshot
Studying Biodiversity on Private Lands
inferredcites →https://doi.org/10.1080/10106049.2011.562309openalex-snapshot
Monitoring US agriculture: the US Department of Agriculture, National Agricultural Statistics Service, Cropland Data Layer Program
inferredcites →https://doi.org/10.1093/biosci/biz010openalex-snapshot
Using Semistructured Surveys to Improve Citizen Science Data for Monitoring Biodiversity
inferredcites →https://doi.org/10.1093/biosci/biz045openalex-snapshot
Development and Delivery of Species Distribution Models to Inform Decision-Making
inferredcites →https://doi.org/10.1093/oxfordjournals.pan.a004868openalex-snapshot
Logistic Regression in Rare Events Data
inferredcites →https://doi.org/10.1111/2041-210x.12242openalex-snapshot
Bias correction in species distribution models: pooling survey and collection data for multiple species
inferredcites →https://doi.org/10.1111/2041-210x.12838openalex-snapshot
Estimates of observer expertise improve species distributions from citizen science data
inferredcites →https://doi.org/10.1111/2041-210x.13002openalex-snapshot
Integrating auxiliary data in optimal spatial design for species distribution modelling
inferredcites →https://doi.org/10.1111/2041-210x.13012openalex-snapshot
Can opportunistically collected Citizen Science data fill a data gap for habitat suitability models of less common species?
inferredcites →https://doi.org/10.1111/2041-210x.13110openalex-snapshot
The recent past and promising future for data integration methods to estimate species’ distributions
inferredcites →https://doi.org/10.1111/brv.12359openalex-snapshot
Building essential biodiversity variables ( EBV s) of species distribution and abundance at a global scale
inferredcites →https://doi.org/10.1111/ddi.12477openalex-snapshot
What determines spatial bias in citizen science? Exploring four recording schemes with different proficiency requirements
inferredcites →https://doi.org/10.1111/ddi.12698openalex-snapshot
Correcting for bias in distribution modelling for rare species using citizen science data
inferredcites →https://doi.org/10.1111/ddi.13271openalex-snapshot
Analytical guidelines to increase the value of community science data: An example using eBird data to estimate species distributions
inferredcites →https://doi.org/10.1111/ecog.02445openalex-snapshot
Modelling of species distributions, range dynamics and communities under imperfect detection: advances, challenges and opportunities
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.1600-0706.2009.17421.xopenalex-snapshot
Scale as a lurking factor: incorporating scale‐dependence in experimental ecology
inferredcites →https://doi.org/10.1126/sciadv.1700707openalex-snapshot
Dynamic conservation for migratory species
inferredcites →https://doi.org/10.1175/1520-0493(1950)078<0001:vofeit>2.0.co;2openalex-snapshot
VERIFICATION OF FORECASTS EXPRESSED IN TERMS OF PROBABILITY
inferredcites →https://doi.org/10.1177/001316446002000104openalex-snapshot
A Coefficient of Agreement for Nominal Scales
inferredcites →https://doi.org/10.1353/lib.0.0036openalex-snapshot
Shedding Light on the Dark Data in the Long Tail of Science
inferredcites →https://doi.org/10.1371/journal.pone.0210041openalex-snapshot
Biased efficacy estimates in phase-III dengue vaccine trials due to heterogeneous exposure and differential detectability of primary infections across trial arms
inferredcites →https://doi.org/10.1650/condor-17-83.1openalex-snapshot
The first 50 years of the North American Breeding Bird Survey
inferredcites →https://doi.org/10.1890/10-0751.1openalex-snapshot
Generalized functional responses for species distributions
inferredcites →https://doi.org/10.32614/r.manualsopenalex-snapshot
R: A Language and Environment for Statistical Computing
inferredcites →https://doi.org/10.3389/fevo.2019.00033openalex-snapshot
Evaluating the Utility of Species Distribution Models in Informing Climate Change-Resilient Grassland Restoration Strategy
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1016/j.landurbplan.2021.104286openalex-snapshot
Mapping abundance distributions of allergenic tree species in urbanized landscapes: A nation-wide study for Belgium using forest inventory and citizen science data
inferred← citeshttps://doi.org/10.1101/2020.06.02.129536openalex-snapshot
How citizen science could improve Species Distribution Models and their independent assessment
inferred← citeshttps://doi.org/10.1101/2020.06.08.140848openalex-snapshot
Integrating remote sensing and jurisdictional observation networks to improve the resolution of ecological management
inferred← citeshttps://doi.org/10.1101/2021.03.03.431294openalex-snapshot
Integrating structured and unstructured citizen science data to improve wildlife population monitoring
inferred← citeshttps://doi.org/10.1101/2021.05.02.442379openalex-snapshot
Data fusion for abundance estimation: community science augments systematically collected removal-in-time distance sampling data
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