Assessing the usefulness of citizen science data for habitat suitability modelling: opportunistic reporting versus sampling based on a systematic protocol

Henckel, Laura; Bradter, Ute; Jönsson, Mari; Isaac, Nick J.B. ORCID: https://orcid.org/0000-0002-4869-8052; Snäll, Tord. 2020 Assessing the usefulness of citizen science data for habitat suitability modelling: opportunistic reporting versus sampling based on a systematic protocol. Diversity and Distributions, 26 (10). 1276-1290. 10.1111/ddi.13128

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Official URL: http://dx.doi.org/10.1111/ddi.13128

Abstract/Summary

Aim: To evaluate the potential of models based on opportunistic reporting (OR) compared to models based on data from a systematic protocol (SP) for modelling species distributions. We compared model performance for eight forest bird species with contrasting spatial distributions, habitat requirements and rarity. Differences in the reporting of species were also assessed. Finally, we tested potential improvement of models when inferring high‐quality absences from OR based on questionnaires sent to observers. Location: Both datasets cover the same large area (Sweden) and time period (2000–2013). Methods: Species distributions were modelled using logistic regression. Predictive performance of OR models to predict SP data was assessed based on AUC. We quantified the congruence in spatial predictions using Spearman's rank correlation coefficient. We related these results to species characteristics and reporting behaviour of observers. We also assessed the gain in predictive performance of OR models by adding inferred absences. Finally, we investigated the potential impact of sampling bias in OR. Results: For all species, and despite the sampling biases, results from OR overall agreed well with those of SP, for the nationwide spatial congruence of habitat suitability maps and the selection and directions of species–environment relationships. The OR models also performed well in predicting the SP data. The predictive performance of the OR models increased with species rarity and even outperformed the SP model for the rarest species. No significant impact of observer behaviour was found. Main conclusions: Relatively simple analyses with inferred absences could produce reliable spatial predictions of habitat suitability. This was especially true for rare species. OR data should be seen as a complement to SP, as the weakness of one is the strength of the other, and OR may be especially useful at large spatial scales or where no systematic data collection protocols exist.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	10.1111/ddi.13128
UKCEH and CEH Sections/Science Areas:	Biodiversity (Science Area 2017-)
ISSN:	1366-9516
Additional Information. Not used in RCUK Gateway to Research.:	Open Access paper - full text available via Official URL link.
Additional Keywords:	biodiversity monitoring, citizen science, forest birds, habitat suitability models, opportunistic reporting, presence-only, pseudo-absences, standardized protocol, volunteer recording
NORA Subject Terms:	Ecology and Environment
Date made live:	09 Sep 2020 14:55 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/528446

Item Type:

Publication - Article

Digital Object Identifier (DOI):

10.1111/ddi.13128

UKCEH and CEH Sections/Science Areas:

Biodiversity (Science Area 2017-)

ISSN:

1366-9516

Additional Information. Not used in RCUK Gateway to Research.:

Open Access paper - full text available via Official URL link.

Additional Keywords:

biodiversity monitoring, citizen science, forest birds, habitat suitability models, opportunistic reporting, presence-only, pseudo-absences, standardized protocol, volunteer recording

NORA Subject Terms:

Ecology and Environment

Date made live:

09 Sep 2020 14:55 +0 (UTC)

URI:

https://nora.nerc.ac.uk/id/eprint/528446