Temporal trends in the spatial bias of species occurrence records-Reference-Cited by-同舟云学术

Temporal trends in the spatial bias of species occurrence records

Published:2022-05-20 Issue:8 Volume:2022 Page:
ISSN:0906-7590
Container-title:Ecography
language:en
Short-container-title:Ecography

Author:

Bowler Diana E.¹²³^ORCID,Callaghan Corey T.¹⁴^ORCID,Bhandari Netra¹,Henle Klaus³,Benjamin Barth M.⁵,Koppitz Christian⁶,Klenke Reinhard¹⁴,Winter Marten¹^ORCID,Jansen Florian⁷^ORCID,Bruelheide Helge¹⁴^ORCID,Bonn Aletta¹²³^ORCID

Affiliation:

1. German Centre for Integrative Biodiversity Research (iDiv) Halle‐Jena‐Leipzig Leipzig Germany

2. Friedrich Schiller Univ. Jena, Inst. of Biodiversity Jena Germany

3. Helmholtz‐Center for Environmental Research – UFZ, Dept Ecosystem Services Leipzig Germany

4. Martin Luther Univ. Halle‐Wittenberg, Inst. of Biology/Geobotany and Botanical Garden Halle Germany

5. Leipzig Rural District Office, Environmental Agency, Section of Nature and Landscape Conservation Borna Germany

6. Landesamt für Landwirtschaft, Umwelt und Ländliche Räume des Landes Schleswig‐Holstein Flintbek Germany

7. Univ. of Rostock, Faculty of Agricultural and Environmental Sciences Rostock Germany

Publisher

Wiley

Subject

Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/ecog.06219

Reference66 articles.

1. Occupancy models for citizen‐science data

2. Spatial Gaps in Global Biodiversity Information and the Role of  Citizen Science

3. Data-derived metrics describing the behaviour of field-based citizen scientists provide insights for project design and modelling bias

4. Do Big Unstructured Biodiversity Data Mean More Knowledge?

5. Spatial bias in the GBIF database and its effect on modeling species' geographic distributions

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