Digitally improving the identification of aquatic macroinvertebrates for indices used in biomonitoring

Simple item page
cg.contributor.affiliationNorth-West University (NWU), Potchefstroom, South Africaen_US
cg.contributor.affiliationGroundTruth, Pietermaritzburg, South Africaen_US
cg.contributor.affiliationInternational Water Management Instituteen_US
cg.contributor.affiliationUniversity of KwaZulu-Natalen_US
cg.contributor.affiliationUnited Nations University, South Africaen_US
cg.contributor.donorCGIAR Trust Funden_US
cg.contributor.initiativeDigital Innovationen_US
cg.creator.identifierChris Dickens: 0000-0002-4251-7767en_US
cg.identifier.iwmilibraryH052512en_US
cg.identifier.urlhttps://www.iwmi.cgiar.org/Publications/Other/PDF/digitally_improving_the_identification_of_aquatic_macroinvertebrates_for_indices_used_in_biomonitoring.pdfen_US
dc.contributor.authorKoen, R. C. J.en_US
dc.contributor.authorKoen, F. J.en_US
dc.contributor.authorPattinson, N. B.en_US
dc.contributor.authorDickens, Chris W. S.en_US
dc.contributor.authorGraham, P. M.en_US
dc.date.accessioned2024-01-22T10:05:54Zen_US
dc.date.available2024-01-22T10:05:54Zen_US
dc.identifier.urihttps://hdl.handle.net/10568/138246en_US
dc.titleDigitally improving the identification of aquatic macroinvertebrates for indices used in biomonitoringen_US
dcterms.abstractThis report provides an overview of the mini Stream Assessment Scoring System (miniSASS) and South African Scoring System Version 5 (SASS5) as biomonitoring techniques for assessing the ecological condition of streams and rivers based on the identification of aquatic macroinvertebrates. While miniSASS relies on minimally trained citizen scientists to identify macroinvertebrates at the Order-level, SASS5 utilizes expertly accredited practitioners for finer resolution, even up to the family-level. However, the reliance on citizen scientists for miniSASS identification introduces limitations in terms of precision, accuracy, and reliability. To address these limitations, ongoing developments within the CGIAR Initiative on Digital Innovation include the creation of a miniSASS smartphone application, an upgraded website, an interactive online course, and a machine-learning identification algorithm to assist with photo identification. Additionally, a revised dichotomous key has been developed to improve operator identification during miniSASS surveys. Furthermore, the potential for upscaling the machine-learning identification algorithm to assist in identifying the 91 family-level taxa used in SASS5 assessments has been explored. The outcomes of these developments and explorations presented in this paper aim to enhance the overall effectiveness and reliability of both the miniSASS and SASS5 techniques. By leveraging digital innovation and incorporating machine-learning technology, we anticipate the efficiency, accuracy, and accessibility of biomonitoring assessments will significantly improve, ultimately contributing to a better understanding and management of our aquatic ecosystems.en_US
dcterms.accessRightsOpen Accessen_US
dcterms.bibliographicCitationKoen, R. C. J.; Koen, F. J.; Pattinson, N. B.; Dickens, Chris W. S.; Graham, P. M. 2023. Digitally improving the identification of aquatic macroinvertebrates for indices used in biomonitoring. Colombo, Sri Lanka: International Water Management Institute (IWMI). CGIAR Initiative on Digital Innovation. 10p.en_US
dcterms.extent10p.en_US
dcterms.issued2023-12-31en_US
dcterms.languageenen_US
dcterms.licenseCC-BY-4.0en_US
dcterms.publisherInternational Water Management Institute (IWMI). CGIAR Initiative on Digital Innovationen_US
dcterms.subjectcitizen scienceen_US
dcterms.subjectdata collectionen_US
dcterms.subjectcommunity involvementen_US
dcterms.subjectbiomonitoringen_US
dcterms.subjectmacroinvertebratesen_US
dcterms.subjectsustainable developmenten_US
dcterms.subjectdigital innovationen_US
dcterms.subjectmachine learningen_US
dcterms.typeReporten_US

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
digitally_improving_the_identification_of_aquatic_macroinvertebrates_for_indices_used_in_biomonitoring (1).pdf
Size:
602.88 KB
Format:
Adobe Portable Document Format
Description:
Download full publication
Download

License bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.75 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

IWMI Reports
CGIAR Initiative on Digital Innovation
Digital Innovation (DIG)