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Abstract (from http://climatechangeresponses.biomedcentral.com/articles/10.1186/s40665-016-0015-2): Background Detailed assessments of species responses to climate change are uncommon, owing to the limited nature of most ecological and local climate data sets. Exceptions, such as the case of the Haleakalā silversword, can provide important insights into the complexity of biological responses to changing climate conditions. We present a time series of decadal population censuses, combined with a pair of early population projections, which together span the past 80 years of demographic history for this alpine plant. Results The time series suggests a strong population recovery from the 1930s through the 1980s, likely...
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Aim To provide the first regional analysis of contemporary drivers of Pacific Island fire regimes. Location Islands of Palau, Yap, Guam, Rota, Tinian, Saipan, Chuuk, Pohnpei, Kosrae. Time Period 1950-present. Methods We used land cover, soil maps and contemporary fire histories to (1) describe the relationships among fire activity, vegetation, rainfall and island geography and population; (2) examine the spatial associations of forest and savanna vegetation with respect to fire and soil types; and (3) link fire and savanna distribution to intra-annual and inter-annual rainfall variability. Results Savanna extent was positively correlated with island age and the range of mean monthly rainfall. The percent of area...
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While there has been rapid advancement in the development and application of statistical downscaling methods for climate projection, determining the best predictive large-scale climate information for the targeted local climate variable remains a challenge. The choice of predictor variables is one of the most influential steps of model development and has the potential to lead to varying results, contributing to the total uncertainty of future projections. Despite being a well-known problem, predictor selection often does not receive adequate attention and the development of a straightforward and feasible prescreening process is needed to provide guidance to simple (e.g., linear regression) and complex (e.g., machine...
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Abstract (from AMS100): Spatially continuous data products are essential for a number of applications including climate and hydrologic modeling, weather prediction, and water resource management. In this work, a distance-weighted interpolation method used to map daily rainfall and temperature in Hawaii is described and assessed. New high-resolution (250 m) maps were developed for daily rainfall and daily maximum (Tmax) and minimum (Tmin) near-surface air temperature for the period 1990–2014. Maps were produced using climatologically aided interpolation, in which station anomalies were interpolated using an optimized inverse distance weighting approach and then combined with long-term means to produce daily gridded...
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Tropical island ecosystems are highly vulnerable to the multiple threats of climate change (Nurse et al. 2014; Bonan 2008). In response, agencies and organizations are tasked with developing land-management strategies to help ecosystems adapt to changing environmental conditions (Swanston et al. 2016). Research has shown that proactive planning can reduce climate change impacts by facilitating more efficient and rapid responses (Bierbaum et al. 2013). Complex socio-ecological conditions, environmental change related stressors (e.g., wildfire, pests, disease, and drought), a lack of resources, and shifting public policy and agency mandates (Nagel et al. 2017) can all hinder response effectiveness (Crausbay et al....
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