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This single raster dataset has five different bands, one band for each of the five Bioclim models computed, based on different subsets of the available CRB occurrence data including: 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).; and 5) only occurrences collected in Hawaii by the CRB response team. Detailed methods for each model are described in the associated xml metadata file.
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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 built three sets of ensemble species distribution models (SDMs) for each species. We first built global and regional ensemble distribution models for each species. Then, to create a comprehensive estimate of potential invasive species distribution for our study species in Hawaiʻi, we built nested regional models that integrate our global and regional ensemble...
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One of the determinants of runoff is the occurrence of 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 them to the frequency of large rainfall events under current and future (pseudo-global warming) climate scenarios. This simple analysis allowed us to map the potential risk of excess rainfall across the...
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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...
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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...
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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. We built three sets of ensemble species distribution models (SDMs) for each species. We first built global and regional ensemble distribution models for each species. Then, to create a comprehensive...
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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 apply steps to improve the utility of two such global datasets (CHELSA and WorldClim2) to provide credible climate scenarios for climate change impact studies in Hawaii. 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...
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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 list of plant species used during this project, and number of planning units required to recover each species, are included.
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The arrival of the coconut rhinoceros beetle (CRB, Oryctes rhinoceros) in Hawaii poses serious threats to endemic palm species, crop species and iconic palm trees across the archipelago. As this invasive is found on the island of Oahu primarily at lower elevations, there are concerns about the species spreading towards high value native habitats at higher elevations and/or to other islands across the state. This dataset simply describes the suitability of the Hawaiian landscape to CRB spread based on climatic conditions (using mean annual temperature and precipitation) of global and local species occurrences. This CRB habitat suitability was calculated using a simple bioclim approach where suitability values reflect...
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Dataset includes publicly available geologic and rainfall data, and environmental and ecological data derived or collected for this project. Specifically, water infiltration measurements, interepreted field-saturated hydraulic conductivity values, ungulate activity, vegetation cover, general soil and weather conditions data are included. Soil samples were collected, lab analyzed, and are included in the dataset. Field-collected data are associated with plots that encompassed approximately a 3 x 3 m area; site data represent approximately 20 x 20 m. First posted: 4 March 2020 (available from author) Revised: April 13, 2020 (version 2.0) The revision is provided due to minor refinement of the dataset and updated...
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This data publication contains data files collected as part of a field, laboratory, and modeling effort aimed at uncovering ecological drivers of avian malaria transmission and impacts on Hawaiian honeycreepers across an elevational gradient on the eastern flank of Mauna Loa and Kilauea volcanoes on Hawaii Island. From 2001-2004, mosquito and bird data were collected at nine sites ranging 25 to 1,800 m above sea level. This data publication includes site and sampling coordinate data, mosquito capture data, mosquito avian malaria infection data, and point-transect distance sampling data. Site coordinate data consists of GPS spatial location data of sampling points where mosquitoes were captured and birds were surveyed...
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This series of five raster datasets includes three input rasters developed to model habitat suitability for two ungulate species on the island of Lanai; the two habitat suitability model raster datasets are also part of this data release. Input datasets were derived from WorldView-2 data to create vegetation (hereafter, NDVI) and bare ground indices, and from a Digital Elevation Model (DEM) to create a ground surface slope dataset. These indices and data, in addition to other datasets, were used to create habitat suitability models for Axis deer and mouflon sheep.
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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, Hawaiʻi. 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...
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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 global models were developed for each species using all global location data and pseudo-absences (PAs), excluding those found in Hawaiʻi, and using WorldClim2 bioclimatic variables (1...
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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...
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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...
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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)...
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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.
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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.
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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...


map background search result map search result map Hawaiian Islands datasets quantifying the effects of invasive animals and plants on native forests across the archipelago 2019 (ver. 2.0 April 2020) Lanai habitat and ecological associations of two non-native ungulate species 2011 Lanai Island Spatial Prioritization of Native Plant Habitat and Hunting Areas, 2021 Nakula, Maui environmental controls on plant growth and seedling recruitment in a cloud-affected restoration site, 2016-2019 Hawaiian Islands bioclimatic variables for baseline and future climate scenarios Hawaiian Islands downscaled climate projections for baseline (1983-2012), mid- (2040-2059), and late-century (2060-2079) scenarios Downscaled CHELSA projections for the Hawaiian Islands under four representative concentration pathways (RCPs; 2.6, 4.5, 6.0, and 8.5) for mid- (2040-2059), and late-century (2060-2079) scenarios Downscaled WorldClim2 projections for the Hawaiian Islands under four representative concentration pathways (RCPs; 2.6, 4.5, 6.0, and 8.5) for mid- (2040-2059), and late-century (2060-2079) scenarios Hawaiian Islands downscaled ensemble projections for future (2040-2059 and 2060-2079) climate scenarios (RCPs 2.6, 4.5, 6.0, 8.5) Hawaiian Islands climate compatibility of Coconut Rhinoceros Beetle (CRB, Oryctes rhinoceros) based on global and local species occurrences 2022 CRB climate compatibility maps based on global and local species occurrences Hawaiian Islands excess rainfall conditions under current (2002-2012) and future (2090-2099) climate scenarios Island of Hawaii bird, mosquito, and avian malaria infection data 2001-2004 East Maui, Hawaiʻi optimization of climate resilient habitat for native plant species recovery, 2021 East Maui, Hawaiʻi example solution demonstrating optimization of climate resilient habitat for native plant species recovery, 2021 East Maui, Hawaiʻi list of plants included for planning climate resilient recovery, 2021 Hawaiian Islands habitat suitability models for highly invasive plants based on global and regional data for baseline climate scenario (1990-2009) Island of Hawaiʻi lidar-based habitat suitability for ʻākohekohe (Palmeria dolei) conservation introductions, 2023 Hawaiian Islands global habitat suitability models for highly invasive plants for baseline climate scenario (1990-2009) Hawaiian Islands nested habitat suitability models for highly invasive plants for baseline climate scenario (1990-2009) Nakula, Maui environmental controls on plant growth and seedling recruitment in a cloud-affected restoration site, 2016-2019 Lanai habitat and ecological associations of two non-native ungulate species 2011 Lanai Island Spatial Prioritization of Native Plant Habitat and Hunting Areas, 2021 Island of Hawaii bird, mosquito, and avian malaria infection data 2001-2004 East Maui, Hawaiʻi optimization of climate resilient habitat for native plant species recovery, 2021 East Maui, Hawaiʻi example solution demonstrating optimization of climate resilient habitat for native plant species recovery, 2021 East Maui, Hawaiʻi list of plants included for planning climate resilient recovery, 2021 Island of Hawaiʻi lidar-based habitat suitability for ʻākohekohe (Palmeria dolei) conservation introductions, 2023 Hawaiian Islands datasets quantifying the effects of invasive animals and plants on native forests across the archipelago 2019 (ver. 2.0 April 2020) Hawaiian Islands bioclimatic variables for baseline and future climate scenarios Hawaiian Islands habitat suitability models for highly invasive plants based on global and regional data for baseline climate scenario (1990-2009) Hawaiian Islands global habitat suitability models for highly invasive plants for baseline climate scenario (1990-2009) Hawaiian Islands nested habitat suitability models for highly invasive plants for baseline climate scenario (1990-2009) Hawaiian Islands excess rainfall conditions under current (2002-2012) and future (2090-2099) climate scenarios Hawaiian Islands climate compatibility of Coconut Rhinoceros Beetle (CRB, Oryctes rhinoceros) based on global and local species occurrences 2022 CRB climate compatibility maps based on global and local species occurrences Hawaiian Islands downscaled climate projections for baseline (1983-2012), mid- (2040-2059), and late-century (2060-2079) scenarios Downscaled CHELSA projections for the Hawaiian Islands under four representative concentration pathways (RCPs; 2.6, 4.5, 6.0, and 8.5) for mid- (2040-2059), and late-century (2060-2079) scenarios Downscaled WorldClim2 projections for the Hawaiian Islands under four representative concentration pathways (RCPs; 2.6, 4.5, 6.0, and 8.5) for mid- (2040-2059), and late-century (2060-2079) scenarios Hawaiian Islands downscaled ensemble projections for future (2040-2059 and 2060-2079) climate scenarios (RCPs 2.6, 4.5, 6.0, 8.5)