Outstanding challenges and future directions for biodiversity monitoring using citizen science data-Reference-Cited by-同舟云学术

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Outstanding challenges and future directions for biodiversity monitoring using citizen science data

Published:2022-03-18 Issue:1 Volume:14 Page:103-116
ISSN:2041-210X
Container-title:Methods in Ecology and Evolution
language:en
Short-container-title:Methods Ecol Evol

Author:

Johnston Alison¹²^ORCID,Matechou Eleni³,Dennis Emily B.³⁴^ORCID

Affiliation:

1. Centre for Research into Ecological and Environmental Modelling, Department of Maths and Statistics University of St Andrews St Andrews UK

2. Cornell Lab of Ornithology Ithaca NY USA

3. School of Mathematics, Statistics and Actuarial Science University of Kent Canterbury UK

4. Butterfly Conservation Wareham UK

Funder

National Science Foundation of Sri Lanka

Publisher

Wiley

Subject

Ecological Modeling,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/2041-210X.13834

Reference170 articles.

1. Integrated species distribution models: A comparison of approaches under different data quality scenarios

2. Occupancy models for citizen‐science data

3. Tradeoffs and tools for data quality, privacy, transparency, and trust in citizen science

4. Five (or so) challenges for species distribution modelling

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

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