Rapid ʽŌhiʽa Death (ROD) currently threatens ōhiʽa lehua (Metrosideros polymorpha) on Hawaiʽi Island. First identified in Puna in 2014, the disease has now spread island wide. Besides direct sampling of trees, environmental sampling could serve as an easier and broader strategy to detect Ceratocystis spp., the fungi causing Rapid Ohia Death (ROD). Envrionmental sampling could also help monitor the effect of felling ROD infected trees. We developed Passive and Active Environmental Samplers for collecting airborne particulates and deployed them at a property in Puna, where both C. lukuohia, and C. huliohia had been detected, and where the land owner practiced the management method of felling infected trees. We set up 2 Active Environmental Samplers (modified mosquito traps connected to a battery that uses a fan to continuously draw in air) and 3 Passive Environmental Samplers (uses a vane to move in the direction of the wind without the use of electricity) from July 12th to October 25th, 2016. The Active Traps contained one slide (1 replicate) each, while the Passive Traps contained 4 slides (4 replicates) each. Wind and precipitation data from a National Oceanic and Atmospheric Agency (NOAA) weather station at the Hilo airport was used in analysis. The dataset contains a list of sampling weeks, their start and end dates, and whether or not tree felling occurred during that week.

Rapid ʽŌhiʽa Death (ROD) currently threatens ōhiʽa lehua (Metrosideros polymorpha) on Hawaiʽi Island. First identified in Puna in 2014, the disease has now spread island wide. Besides direct sampling of trees, environmental sampling could serve as an easier and broader strategy to detect Ceratocystis spp., the fungi causing ROD. Environmental sampling could also help monitor the effect of felling ROD infected trees. We developed Passive and Active Environmental Samplers and deployed them at a property in Puna, where both C. lukuohia, and C. huliohia had been detected, and where the land owner practiced the management method of felling infected trees. We set up 2 Active Environmental Samplers (modified mosquito traps connected to a battery that uses a fan to continuously draw in air) and 3 Passive Environmental Samplers (uses a vane to move in the direction of the wind without the use of electricity) from July 12th to October 25th, 2016. The Active Samplers contained one slide (1 replicate) each, while the Passive Samplers contained 4 slides (4 replicates) each. Samplers were located in the lawn (2 Active, 1 Passive), next to a rainwater catchment tank (1 Passive), and next to a small shed (1 Passive). The dataset contains a list of sampling weeks and their start and end dates, and quantitative polymerase chain reaction (qPCR) results for individual slides that were collected from Active and Passive Samplers located at the Lawn, Tank and Shed sites. Samples were tested twice for Ceratocystis lukuohia, Ceratocystis huliohia, and Metrosideros polymorpha DNA after extraction with a Machery Nagel Plant II Extraction Kit and again after DNA was concentrated by ethanol precipitation. Positive qPCR test results are presented as quantitation cycle (Cq) in which fluorescence is detected for Ceratocystis lukuohia, Ceratocystis huliohia, and Metrosideros polymorpha DNA for each individual slide and number of replicates that were positive out of three for C. lukuohia and C. huliohia and out of six for M. polymorpha. Lines that are blank in columns for Cq values reflect negative test results. When Cq values have more than one replicate for a test, the reported Cq value represents the average of all positive replicates.

Rapid ʽŌhiʽa Death (ROD) currently threatens ōhiʽa lehua (Metrosideros polymorpha) on Hawaiʽi Island. First identified in Puna in 2014, the disease has now spread island wide. Besides direct sampling of trees, environmental sampling could serve as an easier and broader strategy to detect Ceratocystis spp., the fungi causing ROD. Environmental sampling could also help monitor the effect of felling ROD infected trees. We developed Passive and Active Environmental Samplers and deployed them at a property in Puna, where both C. lukuohia, and C. huliohia had been detected, and where the land owner practiced the management method of felling infected trees. We set up 2 Active Environmental Samplers (modified mosquito traps connected to a battery that uses a fan to continuously draw in air) and 3 Passive Environmental Samplers (uses a vane to move in the direction of the wind without the use of electricity) from July 12th to October 25th, 2016. The Active Samplers contained one slide (1 replicate) each, while the Passive Samplers contained 4 slides (4 replicates) each. Samplers were located in the lawn (2 Active, 1 Passive), next to a rainwater catchment tank (1 Passive), and next to a small shed (1 Passive). The dataset contains a list of sampling weeks and their start and end dates, and quantitative polymerase chain reaction (qPCR) results for individual slides that were collected from Active and Passive Samplers located at the Lawn, Tank and Shed sites. Samples were tested twice for Ceratocystis lukuohia, Ceratocystis huliohia, and Metrosideros polymorpha DNA after extraction with a Machery Nagel Plant II Extraction Kit and again after DNA was concentrated by ethanol precipitation. Positive qPCR test results are presented as quantitation cycle (Cq) in which fluorescence is detected for Ceratocystis lukuohia, Ceratocystis huliohia, and Metrosideros polymorpha DNA for each individual slide and number of replicates that were positive out of three for C. lukuohia and C. huliohia and out of six for M. polymorpha. Lines that are blank in columns for Cq values reflect negative test results. When Cq values have more than one replicate for a test, the reported Cq value represents the average of all positive replicates.

These data contain global position system (GPS) coordiantes of confirmed and suspected Ceratocystis infected ʻōhiʻa lehua (Metrosideros polymorpha) trees.

Hawaiʹi’s most widespread native tree, ʹōhiʹa lehua (Metrosideros polymorpha), has been dying across large areas of Hawaiʹi Island mainly due to two fungal pathogens (Ceratocystis lukuohia and Ceratocystis huliohia) that cause a disease collectively known as Rapid ʹŌhiʹa Death (ROD). Here we examine patterns of positive detections of C. lukuohia as it has been linked to the larger mortality events across Hawaiʹi Island. Our analysis compares the environmental range of C. lukuohia and its spread over time through the known climatic range and distribution of ʹōhiʹa. This data set is a georeferenced raster file, containing the projected potential presence of C.lukuohia across the main Hawaiian Islands using climatic variables that varied consistently with C. lukuohia prevalence (Mean annual precipication and minimum temperature of coldest month) at 500 meter resolution. This modeled C. lukuohia potential presence was generated using maxent using methods described in Fortini et. al 2019 (Forest Ecology and Management). Full citation is listed in the larger work section of this XML file.

These data include metadata and associated data files associated with the manuscript, "Economical Environmental Sampler Designs for Detecting Airborne Spread of Fungi Responsible for Rapid Ohia Death." These data include a total of 8 datasets used for both controlled and field studies evaluating the use of Active (with battery operated fan) and Passive (dependent on wind) USGS Environmental Samplers on Hawaii Island between 2016-2018. Samplers were operated under controlled laboratory and field conditions with a commercial sampler (Rotorod Model 20) to compare efficacy in capturing synthetic polyethylene spheres (12 - 160 µm in diameter) and also Xyleborus spp. boring dust (frass) known to contain the fungi responsible for Rapid Ohia Death (Ceratocystis lukuohia and C. huliohia). Samplers were also tested at a field site with confirmed ROD mortality to demonstrate their ability to detect Ceratocystis DNA in beetle frass from infected trees and wood chips associated with tree felling under a range of environmental conditions. Data files consists of particle counts, particle measurements, and results of qPCR (quantitative polymerase chain reaction) tests to determine presence or absence of Ceratocystis DNA on tape strips that were exposed in samplers and tape strips that were spiked with known numbers of Ceratocystis spores to determine sensitivity of the methodology.

These data include metadata and associated data files associated with the manuscript, "Economical Environmental Sampler Designs for Detecting Airborne Spread of Fungi Responsible for Rapid Ohia Death." These data include a total of 8 datasets used for both controlled and field studies evaluating the use of Active (with battery operated fan) and Passive (dependent on wind) USGS Environmental Samplers on Hawaii Island between 2016-2018. Samplers were operated under controlled laboratory and field conditions with a commercial sampler (Rotorod Model 20) to compare efficacy in capturing synthetic polyethylene spheres (12 - 160 µm in diameter) and also Xyleborus spp. boring dust (frass) known to contain the fungi responsible for Rapid Ohia Death (Ceratocystis lukuohia and C. huliohia). Samplers were also tested at a field site with confirmed ROD mortality to demonstrate their ability to detect Ceratocystis DNA in beetle frass from infected trees and wood chips associated with tree felling under a range of environmental conditions. Data files consists of particle counts, particle measurements, and results of qPCR (quantitative polymerase chain reaction) tests to determine presence or absence of Ceratocystis DNA on tape strips that were exposed in samplers and tape strips that were spiked with known numbers of Ceratocystis spores to determine sensitivity of the methodology.

This data release includes metadata and tabular datasets that document (1) Austropuccina, Ceratocystis and Myrtaceae qPCR (quantitative polymerase chain reaction) DNA detections in Passive Environmental Samplers (PES), (2) wind speed, wind gust speed, and wind direction measurements collected at two sites in the Kahuku Unit of Hawai'i Volcanoes National Park (HAVO) where paired PES were located, (3) localities, sites and elevations where PES were located, and (4) Genbank accession numbers for Austropuccinia and Ceratocystis DNA sequences amplified from samples collected in a subset of PES. These raw data were analyzed and reported in the manuscript "Environmental Monitoring for Invasive Fungal Pathogens of ʽŌhiʽa (Metrosideros polymorpha) on the Island of Hawaiʽi".

This data release includes metadata and tabular datasets that document (1) Austropuccina, Ceratocystis and Myrtaceae qPCR (quantitative polymerase chain reaction) DNA detections in Passive Environmental Samplers (PES), (2) wind speed, wind gust speed, and wind direction measurements collected at two sites in the Kahuku Unit of Hawai'i Volcanoes National Park (HAVO) where paired PES were located, (3) localities, sites and elevations where PES were located, and (4) Genbank accession numbers for Austropuccinia and Ceratocystis DNA sequences amplified from samples collected in a subset of PES. These raw data were analyzed and reported in the manuscript "Environmental Monitoring for Invasive Fungal Pathogens of ʽŌhiʽa (Metrosideros polymorpha) on the Island of Hawaiʽi".

Hawaiʹi’s most widespread native tree, ʹōhiʹa lehua (Metrosideros polymorpha), has been dying across large areas of Hawaiʹi Island mainly due to two fungal pathogens (Ceratocystis lukuohia and Ceratocystis huliohia) that cause a disease collectively known as Rapid ʹŌhiʹa Death (ROD). Here we examine patterns of positive detections of C. lukuohia as it has been linked to the larger mortality events across Hawaiʹi Island. Our analysis compares the environmental range of C. lukuohia and its spread over time through the known climatic range and distribution of ʹōhiʹa. This data release consists of two rasters, one containing the projected suitability for C.lukuohia and another consisting of modeled presence/absence across the main Hawaiian Islands under current climatic conditions. This distribution model for C. lukuohia was generated using maxent using methods described in Fortini et. al 2019 (Forest Ecology and Management). Full citation is listed in the larger work section of this XML file.