Monitoring of North Island fantail / pīwakawaka fantail (Rhipidura fuliginosa placabilis Bangs, 1921, Rhipiduridae) distribution on Tiritiri Matangi Island: Using several spatial methods for processing volunteer data
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Authors
Aguilar, Glenn
Gailbraith, Mel
Cooper, H.
Gailbraith, Mel
Cooper, H.
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Grantor
Date
2024-05-06
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Type
Journal Article
Ngā Upoko Tukutuku (Māori subject headings)
Keyword
Tiritiri Matangi Island (N.Z.)
New Zealand
Aotearoa
fantail (Rhipidura fuliginosa)
GIS mapping
ArcGIS
volunteer programmes
citizen engagement
New Zealand
Aotearoa
fantail (Rhipidura fuliginosa)
GIS mapping
ArcGIS
volunteer programmes
citizen engagement
ANZSRC Field of Research Code (2020)
Citation
Aguilar, G., Galbraith, M., & Cooper, H. (2024). Monitoring of North Island fantail / pīwakawaka fantail (Rhipidura fuliginosa placabilis Bangs, 1921, Rhipiduridae) distribution on Tiritiri Matangi Island: using several spatial methods for processing volunteer data. Perspectives in Biodiversity, 2(1), 21-41. Unitec ePress, Te Pūkenga - New Zealand Institute of Skills and Technology. ISSN 3021-114X https://doi.org/10.34074/pibdiv.002104
Abstract
The Aotearoa / New Zealand pīwakawaka / fantail, Rhipidura fuliginosa (Sparrman, 1787), Rhipiduridae, is an iconic species and conspicuous in a range of habitats. However, island populations of the species are said to fluctuate dramatically. This project set out to investigate the population dynamics of Te Ika a Māui / North Island subspecies Rhipidura fuliginosa placabilis Bangs, 1921 on Tiritiri Matangi Island using a volunteer-based monitoring scheme. To achieve this goal, we developed a pilot sampling grid and determined spatial-distribution characteristics using several approaches, including geostatistical tools in ArcMap, species distribution modelling (SDM) and occupancy modelling. Fantail presence data was recorded twice a year by volunteers assigned to specific grids at different seasons for two years on Tiritiri Matangi Island. Recorded count data shows distinctive differences between the sampling periods and different areas of the island. Significant hotspots, as well as clustering of abundance, show different patterns, with significantly higher abundance and widespread distribution during May compared to November. Spatial analysis identified vegetation, particularly replanted areas, as influencing the fantail counts. Results of SDM show areas of the island suitable for the species, and occupancy models further describe the seasonal spatial characteristics of fantail. The effort also highlights the importance of volunteers in providing bird-count data to generate the knowledge base required for the management of an island sanctuary.
Publisher
Unitec ePress
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DOI
https://doi.org/10.34074/pibdiv.002104
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CC BY-NC Attribution-NonCommercial 4.0 International