Bias and information in biological records
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August, 2015, Emerging technologies for biological recording, Biological Journal of the Linnean Society., 10.1111/bij.12534
Baillie, 2006, Migration Watch: an Internet survey to monitor spring migration in Britain and Ireland, Journal of Ornithology, 147, 254, 10.1007/s10336-006-0062-8
Barwell, 2015, Measuring β - diversity with species abundance data, Journal of Animal Ecology., 10.1111/1365-2656.12362
Benton, 2012, Grasshoppers and crickets (Collins New Naturalist 120)
Bird, 2014, Statistical solutions for error and bias in global citizen science datasets, Biological Conservation, 173, 144, 10.1016/j.biocon.2013.07.037
Bishop, 2013, The utility of distribution data in predicting phenology, Methods in Ecology and Evolution, 4, 1024, 10.1111/2041-210X.12112
Bowser, 2013, Data policies for public participation in scientific research: a primer
Chen, 2013, Imperfect detection is the rule rather than the exception in plant distribution studies, The Journal of Ecology, 101, 183, 10.1111/1365-2745.12021
Dandy, 1969, Watsonian vice counties of Great Britain
Danielsen, 2014, Linking public participation in scientific research to the indicators and needs of international environmental agreements, Conservation Letters, 7, 12, 10.1111/conl.12024
Furtado, 2013, Contributor profiles, their dynamics, and their importance in five Q&A sites. Proceedings of the 2013 conference on Computer supported cooperative work - CSCW ’13, 1237
Greenhill, 2014, GAMEON 2014, 15
Hill, 2012, Local frequency as a key to interpreting species occurrence data when recording effort is not known, Methods in Ecology and Evolution, 3, 195, 10.1111/j.2041-210X.2011.00146.x
Hochachka, 2011, Data-intensive science applied to broad-scale citizen science, Trends in Ecology & Evolution, 27, 130, 10.1016/j.tree.2011.11.006
Isaac, 2011, Distance sampling and the challenge of monitoring butterfly populations, Methods in Ecology and Evolution, 2, 585, 10.1111/j.2041-210X.2011.00109.x
Isaac, 2014, Statistics for citizen science: extracting signals of change from noisy ecological data, Methods in Ecology and Evolution, 5, 1052, 10.1111/2041-210X.12254
Kéry, 2009, Trend estimation in populations with imperfect detection, Journal of Applied Ecology, 46, 1163, 10.1111/j.1365-2664.2009.01724.x
MacKenzie, 2006, Occupancy estimation and modeling: inferring patterns and dynamics of species occurrence
Maes, 2015, The use of opportunistic data for IUCN Red List assessments, Biological Journal of the Linnean Society, 115, 690, 10.1111/bij.12530
Maes, 2012, Applying IUCN Red List criteria at a small regional level: a test case with butterflies in Flanders (north Belgium), Biological Conservation, 145, 258, 10.1016/j.biocon.2011.11.021
Munson, 2010, A method for measuring the relative information content of data from different monitoring protocols, Methods in Ecology and Evolution, 1, 263, 10.1111/j.2041-210X.2010.00035.x
Nov, 2014, Scientists@Home: what drives the quantity and quality of online citizen science participation? (J Bar-Ilan, Ed.), PloS ONE, 9, e90375, 10.1371/journal.pone.0090375
Otis, 1978, Statistical inference from capture data on closed animal populations, Wildlife Monographs, 61, 1
Pagel, 2014, Quantifying range-wide variation in population trends from local abundance surveys and widespread opportunistic occurrence records, Methods in Ecology and Evolution, 5, 751, 10.1111/2041-210X.12221
Pescott, 2015, Ecological monitoring for citizen science: the history, design and implementation of schemes for plants in Britain and Ireland, Biological Journal of the Linnean Society, 115, 505, 10.1111/bij.12581
Pledger, 2000, Unified maximum likelihood estimates for closed capture-recapture models using mixtures, Biometrics, 56, 434, 10.1111/j.0006-341X.2000.00434.x
Pocock, 2015, The Biological Records Centre in the United Kingdom: a pioneer of citizen science, Biological Journal of the Linnean Society, 115, 475, 10.1111/bij.12548
Ponciano, 2014, Volunteers’ engagement in human computation astronomy projects, Computing in Science & Engineering, 5, 1
Powney, 2015, Beyond maps: a review of the applications of biological records, Biological Journal of the Linnean Society., 115, 532, 10.1111/bij.12517
Prendergast, 1993, Correcting for variation in recording effort in analyses of diversity hotspots, Biodiversity Letters, 1, 39, 10.2307/2999649
Roy, 2012, Invasive alien predator causes rapid declines of native European ladybirds, Diversity and Distributions, 18, 717, 10.1111/j.1472-4642.2012.00883.x
Royle, 2003, Estimating abundance from repeated presence-absence data or point counts, Ecology, 84, 777, 10.1890/0012-9658(2003)084[0777:EAFRPA]2.0.CO;2
Szabo, 2010, Regional avian species declines estimated from volunteer-collected long-term data using List Length Analysis, Ecological Applications, 20, 2157, 10.1890/09-0877.1
Telfer, 2002, A general method for measuring relative change in range size from biological atlas data, Biological Conservation, 107, 99, 10.1016/S0006-3207(02)00050-2
Thomas, 2015, Recent trends in UK insects that inhabit early successional stages of ecosystems, Biological Journal of the Linnean Society, 115, 636, 10.1111/bij.12527
Thomas, 2004, Comparative losses of British butterflies, birds, and plants and the global extinction crisis, Science, 303, 1879, 10.1126/science.1095046
Tingley, 2009, Detecting range shifts from historical species occurrences: new perspectives on old data, Trends in Ecology & Evolution, 24, 625, 10.1016/j.tree.2009.05.009
Tulloch, 2012, To boldly go where no volunteer has gone before: predicting volunteer activity to prioritize surveys at the landscape scale, Diversity and Distributions, 19, 465, 10.1111/j.1472-4642.2012.00947.x
Van Strien, 2013, Opportunistic citizen science data of animal species produce reliable estimates of distribution trends if analysed with occupancy models, Journal of Applied Ecology, 50, 1450, 10.1111/1365-2664.12158
Van Strien, 2010, Site-occupancy models may offer new opportunities for dragonfly monitoring based on daily species lists, Basic and Applied Ecology, 11, 495, 10.1016/j.baae.2010.05.003