What determines spatial bias in citizen science? Exploring four recording schemes with different proficiency requirements-Reference-Cited by-同舟云学术

What determines spatial bias in citizen science? Exploring four recording schemes with different proficiency requirements

Published:2016-08-21 Issue:11 Volume:22 Page:1139-1149
ISSN:1366-9516
Container-title:Diversity and Distributions
language:en
Short-container-title:Diversity Distrib.

Author:

Geldmann Jonas¹^ORCID,Heilmann-Clausen Jacob¹,Holm Thomas E.²,Levinsky Irina³,Markussen Bo⁴,Olsen Kent⁵,Rahbek Carsten¹⁶,Tøttrup Anders P.¹

Affiliation:

1. Center for Macroecology, Evolution and Climate; Natural History Museum of Denmark; University of Copenhagen; Universitetsparken 15 2100 Copenhagen E Denmark

2. Department of Bioscience; Aarhus University; Grenaavej 14 8410 Roende Denmark

3. Dansk Ornitologisk Forening - BirdLife Denmark; Vesterbrogade 140 1620 Copenhagen V Denmark

4. Laboratory for Applied Statistics; Department of Mathematical Sciences; University of Copenhagen; Universitetsparken 5 2100 Copenhagen E Denmark

5. Natural History Museum Aarhus; Wilhelm Meyers Allé 210; 8000 Aarhus C Denmark

6. Imperial College London; Silwood Park Buckhurst Road Ascot Berkshire SL5 7PY UK

Funder

Aage V. Jensen Naturfond

Danmarks Grundforskningsfond

Villum Fonden

Publisher

Wiley

Subject

Ecology, Evolution, Behavior and Systematics

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/ddi.12477/fullpdf

Reference61 articles.

1. Emerging technologies for biological recording;August;Biological Journal of the Linnean Society,2015

2. Spatstat: an R package for analyzing spatial point patterns;Baddeley;Journal of Statistical Software,2005

3. Spatial Point Patterns

4. Evaluating protected area effectiveness using bird lists in the Australian Wet Tropics;Barnes;Diversity and Distributions,2015

5. Accounting for weather and time-of-day parameters when analysing count data from monitoring programs;Bas;Biodiversity and Conservation,2008

Cited by 188 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The introduction of Geo Wild System (GWS) as a novel wildlife reporting, monitoring, and analyzing system in Malaysia;Global Ecology and Conservation;2024-10

2. Assessing citizen science data quality for bird monitoring in the Iberian Peninsula;Scientific Reports;2024-09-02

3. Coupling renewable energy infrastructure planning and biodiversity conservation: a modeling-based framework;2024-08-30

4. Incorporating citizen science into IUCN Red List assessments;Conservation Biology;2024-08-27

5. A local community on a global collective intelligence platform: A case study of individual preferences and collective bias in ecological citizen science;PLOS ONE;2024-08-26