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2018 was a record-breaking year for wildfires in Hawai‘i with over 30,000 acres burned statewide, including the habitat of the Oʻahu chewstick, a critically endangered flowering plant with less than 50 individuals remaining. The frequency and severity of wildfire in Hawai‘i has been increasing, and this trend is predicted to worsen with climate change. Wildfires are promoted by highly flammable invasive plants, which can spread across the landscape, providing a widespread fuel source to feed large fires that are hard to control. However, different plant species vary in their flammability, so wildfire risk depends not only on climate, but also on which plants are present. A major concern is that new non-native plants...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2019,
CASC,
Data Visualization & Tools,
Data Visualization & Tools,
Drought,
We integrated recent climate model projections developed for the State of Hawai’i with current climatological datasets to generate updated regionally defined bioclimatic variables. We derived updated bioclimatic variables from new projections of baseline and future monthly minimum, mean, and maximum temperature (Tmin, Tmean, Tmax) and mean precipitation (Pmean) data at 250 m resolution. We used observation-based data for the baseline bioclimatic variables from the Rainfall Atlas of Hawai’i. We used the most up-to-date dynamically downscaled future projections based on the Weather Research and Forecasting (WRF) model from the International Pacific Research Center (IPRC) and the National Center for Atmospheric Research...
This dataset was developed to model habitat suitability for mouflon sheep on the island of Lanai. Model parameters include: cloud cover at 1400 HST, ground surface slope, mean annual precipitation, NDVI, elevation, bare soil, and deer habitat suitability. Datasets and indices derived for use in modeling efforts, as well as the suitability model developed for axis deer, are included within this data release.
This dataset was developed to model habitat suitability for axis deer on the island of Lanai. Model parameters include: cloud cover at 1400 HST, ground surface slope, mean annual precipitation, NDVI, elevation, and bare soil. Datasets and indices derived for use in modeling efforts, as well as the suitability model developed for mouflon sheep, are included within this data release.
East Maui, Hawaiʻi optimization of climate resilient habitat for native plant species recovery, 2021
Multi-species recovery planning can be a challenging natural resource management task. In collaboration with state and federal agencies, and botanical and technical experts, we developed and tested a multi-step optimization process to assist in identifying the minimum climate resilient habitat for the recovery of multiple threatened, endangered, and at-risk plant species across east Maui. Data include the underlying land-use configuration file, predictive climate models, list of plant species and number of populations to recover/protect, habitat and forest bird distribution information, presence of fencing, land management status, and naming protocol file. We identified a suite of potential conservation footprints...
This data release includes data and metadata on all native plant species, native habitat, and hunting areas included in the spatial prioritization analyses. Broadly, recovery of threatened and endangered species requires specific management actions by natural resource managers at a fine scale. We used a systematic conservation planning framework to outline conservation goals across multiple land-uses, including native habitat protection and identifying endangered species-specific recovery areas while minimizing intrusion on existing hunting areas on the island of Lanai. We used spatial prioritization tools to generate multiple scenarios where both conservation and hunting areas (deemed zones for analysis purposes)...
Fog has been demonstrated to support plant growth, survival and ecosystem maintenance spanning rainfall and elevation gradients across the world. Persistent fog and strong winds on high mountain slopes in Hawaiʻi create a unique ecological environment. We collected stem diameter measurements of three native plant species at Nakula Natural Area Reserve, Maui, during 2016-2019 and numerous environmental variables to examine how rain, fog and soil moisture influence plant water deficit and growth. We also collected seedling growth and survival data within plots where grass was removed, and control plots (no grass removal), to assess if and how grass removal influenced seedling growth and soil moisture.
This dataset comprises high-resolution geotif files representing various aspects of the ʻākohekohe (Palmeria dolei) potential habitat on the Island of Hawaiʻi. It includes a habitat suitability map showing average suitability scores, a map of homogenous forested areas (HFAs) depicting clusters with consistent suitability scores, and a map of pixel-wise standard deviation across habitat suitability models. These maps were generated through a comprehensive analysis using lidar-based metrics, offering detailed insights into the habitat preferences of ʻākohekohe.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Assisted colonization,
Climate Change,
Conservation Introduction,
Endangered Species,
Hawaii,
Estimating the Impact of Climate and Vegetation Changes on Runoff Risk across the Hawaiian Landscape
In Hawai’i, ecosystem conservation practitioners are increasingly considering the potential ecohydrological benefits from applied conservation action to mitigate the degrading impacts of runoff on native and restored ecosystems. One determinant of runoff is excess rainfall events where rainfall rates exceed the infiltration capacity of soils. To help understand runoff risks, we calculated the probability of excess rainfall events across the Hawaiian landscape by comparing the probability distributions of projected rainfall frequency and land-cover-specific infiltration capacity. We characterized soil infiltration capacity based on different land cover types (bare soil, grasses, and woody vegetation) and compared...
Categories: Publication;
Types: Citation
Climate change in Hawaiʻi is expected to result in increasing temperatures and varying precipitation through the twenty-first century. Already, high elevation areas have experienced rapidly increasing temperatures and there has been an increase in the frequency of drought across the Islands. These climatic changes could have significant impacts on Hawaiʻi’s plants and animals. Changes in temperature and moisture may make current habitat no longer suitable for some species, and could allow invasive species to spread into new areas. Hawaiʻi Volcanoes National Park is home to 23 species of endangered vascular plants and 15 species of endangered trees. Understanding how climate change may impact the park’s plants...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2014,
CASC,
Climate Change,
Completed,
Data Visualization & Tools,
Across the Hawaiian Islands, effective management of at-risk species often relies on fine-scale actions by natural resource managers. However, balancing these actions with competing land use objectives concurrently can be challenging, especially in the context of a shifting climate. One example is the challenge of managing for hunting of non-native ungulates for subsistence and recreation, which often conflicts with the conservation of native species, and there is little reliable data to guide effective management. To address this issue, we modeled the habitat associations of axis deer and mouflon sheep on the Island of Lānaʻi. We found that both species occupy habitat different from their native environment, and...
Categories: Publication;
Types: Citation
We integrated recent climate model projections developed for the State of Hawai’i with current climatological datasets to generate updated regionally defined bioclimatic variables. We derived updated bioclimatic variables from new projections of baseline and future monthly minimum, mean, and maximum temperature (Tmin, Tmean, Tmax) and mean precipitation (Pmean) data at 250 m resolution. We used observation-based data for the baseline bioclimatic variables from the Rainfall Atlas of Hawai’i. We used the most up-to-date dynamically downscaled future projections based on the Weather Research and Forecasting (WRF) model from the International Pacific Research Center (IPRC) and the National Center for Atmospheric Research...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Bioclimatic Variables,
Climate Shifts,
Future Scenarios,
Global Circulation Models,
Hawai’i,
Global downscaled projections are now some of the most widely used climate datasets in the world, however, they are rarely examined for representativeness of local climate or the plausibility of their projected changes. Here we show steps to improve the utility of two such global datasets (CHELSA and WorldClim2) to provide credible climate scenarios for regional climate change impact studies. Our approach is based on three steps: 1) Using a standardized baseline period, comparing available global downscaled projections with regional observation-based datasets and regional downscaled datasets (if available); 2) bias correcting projections using observation-based data; and 3) creating ensembles to make use of the...
Categories: Data;
Tags: Climate Shifts,
Downscaling,
Future Scenarios,
Global Circulation Models,
Hawai’i,
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...
Multi-species recovery planning can be a challenging natural resource management task. In collaboration with state and federal agencies, and botanical and technical experts, we developed and tested a multi-step optimization process to assist in identifying the minimum climate resilient habitat for the recovery of multiple threatened, endangered, and at-risk plant species across east Maui. The dataset presented here includes all metrics used to consider selection of units for the spatial optimization.
Global downscaled projections are now some of the most widely used climate datasets in the world, however, they are rarely examined for representativeness of local climate or the plausibility of their projected changes. Here we show steps to improve the utility of two such global datasets (CHELSA and WorldClim2) to provide credible climate scenarios for regional climate change impact studies. Our approach is based on three steps: 1) Using a standardized baseline period, comparing available global downscaled projections with regional observation-based datasets and regional downscaled datasets (if available); 2) bias correcting projections using observation-based data; and 3) creating ensembles to make use of the...
This dataset represents global occurrences for CRB and consists of a table of coordinates, associated mean annual temperatures and precipitation values, and occurrence type used to create bioclim habitat suitability models for CRB. These global occurrences are classified into 4 types: 1) all available global data (excluding Hawaii); 2) only occurrences within CRB's native range; 3) only occurrences in the species non-native range (excluding Hawaii); 4) only occurrences in the species insular non-native range (excluding Hawaii).
Categories: Data;
Tags: CRB,
Coconut rhinoceros beetle,
Coconut rhinoceros beetle,
Hawaii,
Hawaiian Islands,
We created a comprehensive estimate of potential distribution for a subset of 17 ecosystem modifying invasive plants (EMIPs) in Hawaiʻi. This work uses methods that integrate a wide set of data sources including agency and citizen science data, but perhaps more importantly, the integration of regional and global distribution information for these species. We developed transferable and comparable general species distribution models (SDMs) at global and regional scales based on a minimum set of biologically plausible predictors. The regional models were developed for each species using only regional location data and pseudo-absences (PAs) wihtin the extent of the main Hawaiian Islands and regionally derived bioclimatic...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Baseline Climate,
Ensemble Model Projections,
Hawai’i,
Invasive Plants,
Main Hawaiian Islands,
Alpine plants are likely to be particularly vulnerable to climate change because of their restricted distributions and sensitivity to rapid environmental shifts occurring in high-elevation ecosystems. The well-studied Haleakalā silversword (‘āhinahina, Argyroxiphium sandwicense subsp. macrocephalum) already exhibits substantial climate-associated population decline, and offers the opportunity to understand the ecological and demographic mechanisms that underlie ongoing and predicted range shifts. We use nearly four decades of demographic monitoring for this threatened Hawaiian species, in combination with other biological, ecological and climate data to explore demographic responses across its entire range. We construct...
Categories: Publication;
Types: Citation
Drought is a prominent feature of Hawaiʻi’s climate. However, it has been over 30 years since the last comprehensive meteorological drought analysis, and recent drying trends have emphasized the need to better understand drought dynamics and multi-sector effects in Hawaiʻi. Here, we provide a comprehensive synthesis of past drought effects in Hawaiʻi that we integrate with geospatial analysis of drought characteristics using a newly developed 100-year (1920–2019) gridded Standardized Precipitation Index (SPI) dataset. The synthesis examines past droughts classified into five categories: Meteorological, agricultural, hydrological, ecological, and socioeconomic drought. Results show that drought duration and magnitude...
Categories: Publication;
Types: Citation
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