Mertelmeyer, L., Jacobi, J.D., Mueller-Dombois, D., Boehmer, H.J., Balakrishnan, N., Cooray, R., Gerrish, G. and Brinck, K., 2019, Hawaii Island Regeneration of Metrosideros polymorpha forests since landscape-level canopy dieback in the 1970s: U.S. Geological Survey data release, https://doi.org/10.5066/P97OSO15.
Summary
Several previously published reports and geographic information system (GIS) data layers were used to code information on site attributes for each assessment plot using the spatial join tool in ArcMap. This information was used for an analysis of dieback and non-dieback habitat characteristics. The results of this analysis are presented in this table which depicts the probability of heavy to severe canopy dieback occurring at some time at a particular 30 x 30 m pixel location within the study area.
Summary
Several previously published reports and geographic information system (GIS) data layers were used to code information on site attributes for each assessment plot using the spatial join tool in ArcMap. This information was used for an analysis of dieback and non-dieback habitat characteristics. The results of this analysis are presented in this table which depicts the probability of heavy to severe canopy dieback occurring at some time at a particular 30 x 30 m pixel location within the study area.
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Ohia Dieback Study - Dieback Model Results Table.xml Original FGDC Metadata
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Type: Related Primary Publication
Mertelmeyer, L. , Jacobi, J. D., Mueller‐Dombois, D. , Brinck, K. and Boehmer, H. J. (2019), Regeneration of Metrosideros polymorpha forests in Hawaii after landscape‐level canopy dieback. J Veg Sci. Accepted Author Manuscript.
We analyzed very-high-resolution imagery to assess the change in status of Metrosideros polymorpha forests across an 83,603 hectare study area that experienced extensive canopy dieback in the 1970s on the eastern side of the island of Hawaii. These results were combined with habitat data to produce a spatial model depicting probability of canopy dieback within the study area.
