Temporal Dimensions of Data Quality in Bird Atlases: the Case of the Second Southern African Bird Atlas Project

Halting biodiversity loss on land (Sustainable Development Goal [SDG] 15) is an unfolding problem, and as such, requires novel solutions. Citizen science (CS) promises large quantities of data, but introduces the challenge of ensuring these are valuable to conservation research and can inform meanin...

Full description

Bibliographic Details
Main Authors: Karis A. Daniel, Leslie G. Underhill
Format: Article
Language:English
Published: Ubiquity Press 2023-06-01
Series:Citizen Science: Theory and Practice
Subjects:
Online Access:https://account.theoryandpractice.citizenscienceassociation.org/index.php/up-j-cstp/article/view/578
_version_ 1797777808780427264
author Karis A. Daniel
Leslie G. Underhill
author_facet Karis A. Daniel
Leslie G. Underhill
author_sort Karis A. Daniel
collection DOAJ
description Halting biodiversity loss on land (Sustainable Development Goal [SDG] 15) is an unfolding problem, and as such, requires novel solutions. Citizen science (CS) promises large quantities of data, but introduces the challenge of ensuring these are valuable to conservation research and can inform meaningful action. This paper contributes to this endeavour, examining the impact of systematic as opposed to unstructured fieldwork on the biodiversity monitoring value of data from the Second Southern African Bird Atlas Project (SABAP2). SABAP2 “atlasers” work within a fine-scale grid system to generate avian species checklists that are comprehensive at the time of fieldwork. Though valuable, unstructured fieldwork efforts paint an incomplete picture; effective conservation action requires monitoring—keeping a finger on the pulse of local biodiversity through consistent and systematic data collection. Systematic collection allows for the detection of nuanced biological patterns such as seasonal population trends and movements, rapidly alerting scientists to anomalies and galvanizing swift response. It is, however, a demanding protocol, and implementation requires careful consideration of participant impact and motivations. Here, we used a newly developed approach for measuring temporal data quality to examine the systematic atlasing efforts of a CS community in the Hessequa Atlasing Area, South Africa, assessing the biodiversity monitoring value of structured data collection versus opportunistic checklists. We found that structured data collection increased the temporal resolution of atlas data, and thus its monitoring quality. We discuss challenges in maintaining achievable fieldwork goals for participants, and examine Hessequa’s project structure and participant motivations to provide recommendations for future project management.
first_indexed 2024-03-12T23:09:50Z
format Article
id doaj.art-aad936a204ab42d6aefb1ad9a79c25e3
institution Directory Open Access Journal
issn 2057-4991
language English
last_indexed 2024-03-12T23:09:50Z
publishDate 2023-06-01
publisher Ubiquity Press
record_format Article
series Citizen Science: Theory and Practice
spelling doaj.art-aad936a204ab42d6aefb1ad9a79c25e32023-07-18T08:13:37ZengUbiquity PressCitizen Science: Theory and Practice2057-49912023-06-0181313110.5334/cstp.578444Temporal Dimensions of Data Quality in Bird Atlases: the Case of the Second Southern African Bird Atlas ProjectKaris A. Daniel0https://orcid.org/0000-0003-4190-0411Leslie G. Underhill1https://orcid.org/0000-0002-8758-1527University of Cape TownUniversity of Cape TownHalting biodiversity loss on land (Sustainable Development Goal [SDG] 15) is an unfolding problem, and as such, requires novel solutions. Citizen science (CS) promises large quantities of data, but introduces the challenge of ensuring these are valuable to conservation research and can inform meaningful action. This paper contributes to this endeavour, examining the impact of systematic as opposed to unstructured fieldwork on the biodiversity monitoring value of data from the Second Southern African Bird Atlas Project (SABAP2). SABAP2 “atlasers” work within a fine-scale grid system to generate avian species checklists that are comprehensive at the time of fieldwork. Though valuable, unstructured fieldwork efforts paint an incomplete picture; effective conservation action requires monitoring—keeping a finger on the pulse of local biodiversity through consistent and systematic data collection. Systematic collection allows for the detection of nuanced biological patterns such as seasonal population trends and movements, rapidly alerting scientists to anomalies and galvanizing swift response. It is, however, a demanding protocol, and implementation requires careful consideration of participant impact and motivations. Here, we used a newly developed approach for measuring temporal data quality to examine the systematic atlasing efforts of a CS community in the Hessequa Atlasing Area, South Africa, assessing the biodiversity monitoring value of structured data collection versus opportunistic checklists. We found that structured data collection increased the temporal resolution of atlas data, and thus its monitoring quality. We discuss challenges in maintaining achievable fieldwork goals for participants, and examine Hessequa’s project structure and participant motivations to provide recommendations for future project management.https://account.theoryandpractice.citizenscienceassociation.org/index.php/up-j-cstp/article/view/578data qualitytemporal proximitybiodiversity monitoringsystematic fieldworksocial impact
spellingShingle Karis A. Daniel
Leslie G. Underhill
Temporal Dimensions of Data Quality in Bird Atlases: the Case of the Second Southern African Bird Atlas Project
Citizen Science: Theory and Practice
data quality
temporal proximity
biodiversity monitoring
systematic fieldwork
social impact
title Temporal Dimensions of Data Quality in Bird Atlases: the Case of the Second Southern African Bird Atlas Project
title_full Temporal Dimensions of Data Quality in Bird Atlases: the Case of the Second Southern African Bird Atlas Project
title_fullStr Temporal Dimensions of Data Quality in Bird Atlases: the Case of the Second Southern African Bird Atlas Project
title_full_unstemmed Temporal Dimensions of Data Quality in Bird Atlases: the Case of the Second Southern African Bird Atlas Project
title_short Temporal Dimensions of Data Quality in Bird Atlases: the Case of the Second Southern African Bird Atlas Project
title_sort temporal dimensions of data quality in bird atlases the case of the second southern african bird atlas project
topic data quality
temporal proximity
biodiversity monitoring
systematic fieldwork
social impact
url https://account.theoryandpractice.citizenscienceassociation.org/index.php/up-j-cstp/article/view/578
work_keys_str_mv AT karisadaniel temporaldimensionsofdataqualityinbirdatlasesthecaseofthesecondsouthernafricanbirdatlasproject
AT lesliegunderhill temporaldimensionsofdataqualityinbirdatlasesthecaseofthesecondsouthernafricanbirdatlasproject