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Almost all daily rainfall time series contain gaps in the instrumental record. Various methods can be used to fill in missing data using observations at neighboring sites (predictor stations). In this study, five computationally simple gap-filling approaches—normal ratio (NR), linear regression (LR), inverse distance weighting (ID), quantile mapping (QM), and single best estimator (BE)—are evaluated to 1) determine the optimal method for gap filling daily rainfall in Hawaii, 2) quantify the error associated with filling gaps of various size, and 3) determine the value of gap filling prior to spatial interpolation. Results show that the correlation between a target station and a predictor station is more important...
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Types: Citation
With increasing needs for understanding historic climatic events and assessing changes in extreme weather to support natural hazard planning and infrastructure design, it is vital to have an accurate long-term hourly rainfall dataset. In Hawaiʻi, annual, monthly, and daily gauge data have been well-compiled and are accessible. Here, we compiled hourly rainfall data from both gauges and radars. We arranged the metadata from various data sources, acquired data, and applied quality control to each gauge dataset. In addition, we compiled and provided hourly radar rainfall, and filtered out areas with low confidence (larger error). This paper provides (1) a summary of available hourly data from various observation networks,...
Categories: Publication;
Types: Citation
Globally, invasive plant-fueled wildfires have tremendous environmental, economical, and societal impacts, and the frequencies of wildfires and plant invasions are on an upward trend globally. Identifying which plant species tend to increase the frequency or severity of wildfire is important to help manage their impacts. 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...
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Types: Citation
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...
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Hawaiian coastal wetlands provide important habitat for federally endangered waterbirds and socio-cultural resources for Native Hawaiians. Currently, Hawaiian coastal wetlands are degraded by development, sedimentation, and invasive species and, thus, require restoration. Little is known about their original structure and function due to the large-scale alteration of the lowland landscape since European contact. Here, we used 1) rapid field assessments of hydrology, vegetation, soils, and birds, 2) a comprehensive analysis of endangered bird habitat value, 3) site spatial characteristics, 4) sea-level rise projections for 2050 and 2100 and wetland migration potential, and 5) preferences of the Native Hawaiian community...
Categories: Publication;
Types: Citation
During grass surveys across the islands of Hawai‘i in 2022, two novel hybrids among non-native Poaceae were found growing on roadsides. Spontaneous hybridization was observed among Chloris barbata and C. divaricata on O‘ahu and among Cenchrus clandestinus and C. setaceus on Hawai‘i island. Morphological evidence initially suggested these plants may be hybrids and molecular analysis using the ITS and rpl32-trnL regions confirmed that the plants are hybrids and identified their parentage. These hybrids are named Chloris × pseudosagrana nothosp. nov. and Cenchrus × peregrinus nothosp. nov. No developed seeds could be found on either of these hybrids and they are suspected to be sterile F1 hybrids. The occurrence of...
Categories: Publication;
Types: Citation
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