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Filters: partyWithName: Lucas B Fortini (X) > partyWithName: Ecosystems (X)

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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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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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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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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 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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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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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.
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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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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).


    map background search result map search result map 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 Hawaiian Islands baseline climate projections for mean annual temperature and precipitation from 1983-2012 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 global species occurrences 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 East Maui, Hawaiʻi optimization of climate resilient habitat for native plant species recovery, 2021 East Maui, Hawaiʻi input metrics for 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 Nakula, Maui environmental controls on plant growth and seedling recruitment in a cloud-affected restoration site, 2016-2019 Lanai Island Spatial Prioritization of Native Plant Habitat and Hunting Areas, 2021 East Maui, Hawaiʻi optimization of climate resilient habitat for native plant species recovery, 2021 East Maui, Hawaiʻi input metrics for 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 bioclimatic variables for baseline and future climate scenarios 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 Hawaiian Islands baseline climate projections for mean annual temperature and precipitation from 1983-2012 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) CRB global species occurrences