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Folders: ROOT > ScienceBase Catalog > National and Regional Climate Adaptation Science Centers > Pacific Islands CASC ( Show direct descendants )

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___Pacific Islands CASC
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Measurements of fog, wind, fog interception, soil moisture, and fog effects on plant water use and plant survival were collected to test a model to estimate CWI as a function of fog-water movement and vegetation characteristics.
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This product used species distribution modeling (SDM) to model the geographic distribution fire promoting grasses across the islands of Hawaii under both current climate conditions and under future climate change scenarios (RCP 8.5 at year 2100). The RCP 8.5 scenario assumes unmitigated and continued release of greenhouse grasses and continued human population growth. Six species of well established and widely distributed grasses (Andropogon virginicus (broomsedge), Cenchrus ciliaris (buffelgrass), Cenchrus setaceus (fountain grass), Megathyrus maximus (guinea grass, Urochloa maxima, Pancicum maximum), Melinis minutiflora (mollasses grass), and Schizachyrium microstachyum (formerly referred to as S. condensatum...
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Measurements of fog, wind, fog interception, soil moisture, and fog effects on plant water use and plant survival were collected along with these vegetation data to test a model to estimate CWI as a function of fog-water movement and these vegetation characteristics.
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Previous research identified species of invasive plants in Hawai'i which are highly flammable and act as fuels in wildfires across Hawai'i. This work aimed to map the distribution of these species (largely grasses) around the islands of Hawai'i with the goal of using the locations for species distribution modeling. All data represents presence data, no absence data were recorded. Data are largely from within the past 20 years, but some georeferenced herbarium specimens go as far back as 1905. Data were obtained from georeferenced herbarium specimens, vegetation plot data, citizen science data (iNaturalist) reviewed by the authors, and data from roadside surveys conducted as part of this research to map these species....
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Data of a calibrated fog gauge at each of the five stations. Parameters include total fog water collection, wind-driven rain collection, fog-only water collection, cloud water flux, and cloud liquid water content.
The outputs of two versions of the Single-Layer Wet Canopy Water Balance model. Parameters include cloud water interception, evaporation of rainwater or fog water from wet canopy (interception evaporation), and canopy water storage.
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This raster indicates modeled habitat for various species under current and future conditions. Using the Price et al. (2012) parameters, we modeled species ranges as a function of elevation, temperature, and precipitation as described in Jacobi et al. (2016). Our methods departed slightly from their procedure in that we did not exclude non-pioneer-classified species from young lava flows. Jacobi, J.J., Camp, R.J., Berkowitz, S.P., Brinck, K.W., Fortini, L.B., Price, J.P., and Loh, R.M. 2016. Assess the potential impacts of projected climate change on vegetation management strategies within Hawaii Volcanoes National Park. PICSC Final Report. URL: https://nccwsc.usgs.gov/ Price, J.P., Jacobi, J.D., Gon, S.M., III,...
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These spatial data layers form the bases for the Governance Vulnerability Analysis which is incorporated into the project's Story Map which integrates resident consumption, spatial and climate vulnerability, and governance analysis, with research findings discussed at the end. Ridge-to-reef for coastal food security in Palau StoryMap: https://uhm.maps.arcgis.com/apps/Cascade/index.html?appid=5eb69132599942479a1b958c7977a970
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Measurements of fog, wind, fog interception, soil moisture, and fog effects on plant water use and plant survival were collected to test a model to estimate CWI as a function of fog-water movement and vegetation characteristics.
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We developed a screening system to identify introduced plant species that are likely to increase wildfire risk, using the Hawaiian Islands to test the system and illustrate how the system can be applied to inform management decisions. Expert-based fire risk scores derived from field experiences with 49 invasive species in Hawai′i were used to train a machine learning model that predicts expert fire risk scores from among 21 plant traits obtained from literature and databases. The model revealed that just four variables can identify species categorized as higher fire risk by experts with 90% accuracy, while low risk species were identified with 79% accuracy. We then used the predictive model to screen 365 naturalized...


    map background search result map search result map Modeled ranges of Hawaiian plant species under current and future conditions under three climate downscaling scenarios Vegetation Characterization for 5 sites in Hawai'i from 2016-2019 Calibrated Fog Gauge Data for 5 sites in Hawai'i from 2016-2019 Canopy Water Balance Output Data for 5 sites in Hawai'i from 2016-2019 Climate Data for 5 sites in Hawai'i from 2016-2019 Cloud Water Interception Parameters for 5 sites in Hawai'i from 2016-2019 Spatial Data Layers for Ridge-to-Reef Governance Vulnerability Analysis in Palau Fire Risk Scores from Predictive Model Based on Flammability and Fire Ecology of Non-Native Hawaiian Plants from 2020-2021 Locations of Fire Promoting Alien Plants Across the Islands of Hawaii Based on Field Surveys and Museum Collections from 1903-2023 Species Distribution Modeling of Invasive, Fire Promoting Grasses, Across the Hawaiian Islands in Both 2023 and Under a Future Scenario of Unmitigated Climate Change in 2100 Spatial Data Layers for Ridge-to-Reef Governance Vulnerability Analysis in Palau Species Distribution Modeling of Invasive, Fire Promoting Grasses, Across the Hawaiian Islands in Both 2023 and Under a Future Scenario of Unmitigated Climate Change in 2100 Vegetation Characterization for 5 sites in Hawai'i from 2016-2019 Calibrated Fog Gauge Data for 5 sites in Hawai'i from 2016-2019 Canopy Water Balance Output Data for 5 sites in Hawai'i from 2016-2019 Climate Data for 5 sites in Hawai'i from 2016-2019 Cloud Water Interception Parameters for 5 sites in Hawai'i from 2016-2019 Modeled ranges of Hawaiian plant species under current and future conditions under three climate downscaling scenarios Fire Risk Scores from Predictive Model Based on Flammability and Fire Ecology of Non-Native Hawaiian Plants from 2020-2021 Locations of Fire Promoting Alien Plants Across the Islands of Hawaii Based on Field Surveys and Museum Collections from 1903-2023