Filters: Categories: Data (X)
Folders: ROOT > ScienceBase Catalog > National and Regional Climate Adaptation Science Centers > National CASC > FY 2014 Projects ( Show direct descendants )
8 results (8ms)
Location
Folder
ROOT _ScienceBase Catalog __National and Regional Climate Adaptation Science Centers ___National CASC ____FY 2014 Projects
Filters
Date Range
Types Contacts Tag Types
|
The aim of this project is to facilitate expansion of current data management protocols to accommodate social science data for the USGS National Climate Change and Wildlife Science Center (NCCWSC) and its regional Climate Science Centers (CSCs). To address this expansion, we (1) identified the best practices and approaches from practitioners/experts through interviews with current curators of social science data, (2) explored the approaches of existing tools and services to determine if they are capable of meeting the needs of the NCCWSC, and (3) conducted a survey of the specific user community, with a focus on social science researchers funded by the NCCWSC and managers of the data within the program. The dataset...
Categories: Data;
Tags: National CASC,
Science Tools For Managers,
Social Science,
data collection methodologies,
data curation,
It is well understood that plant phenology is sensitive to climate, however it is not so clear exactly how climate change might alter the spatial and temporal patterns of vegetation phenology. Satellite remote sensing offers a unique vantage point from which to observe phenological cycles across large regions. Although ubiquitous, cycles of green-up and brown-down are complex and exhibit great variability across space and time. Herbivore species such as elk, moose, and deer depend on the availability of herbaceous plants and deciduous shrubs for forage. These vegetation types are most nutritious for herbivores from early season to peak green-up, so characterizing vegetation cycles, or phenology, over the long term...
Categories: Data;
Types: Citation;
Tags: Drought,
Drought, Fire and Extreme Weather,
MTBS,
Moderate Resolution Imaging Spectroradiometer,
National CASC,
The Green Wave Hypothesis posits that herbivore migration manifests in response to waves of spring green-up (i.e., green-wave surfing). Nonetheless, empirical support for the Green Wave Hypothesis is mixed, and a framework for understanding variation in surfing is lacking. In a population of migratory mule deer (Odocoileus hemionus), 31% surfed plant phenology in spring as well as a theoretically perfect surfer, and 98% surfed better than random. Green-wave surfing varied among individuals, and was unrelated to age or energetic state. Instead, the greenscape, which we define as the order, rate, and duration of green-up along migratory routes, was the primary factor influencing surfing. Our results indicate that...
Natural selection may result in local adaptation to different environmental conditions across the range of a species. Understanding local adaptation, in turn, informs management decisions such as translocation to restore locally-extinct populations. We used a landscape genomics approach to detect genetic signatures of selection related to climatic variation among desert bighorn sheep populations across their indigenous range in the western United States. This approach allowed us to investigate broad patterns of both neutral and adaptive genetic variation across very different environments. Analyses suggested that ancestry and isolation by distance were the most significant forces driving genetic variation in desert...
Natural selection may result in local adaptation to different environmental conditions across the range of a species. Understanding local adaptation, in turn, informs management decisions such as translocation to restore locally-extinct populations. We used a landscape genomics approach to detect genetic signatures of selection related to climatic variation among desert bighorn sheep populations across their indigenous range in the western United States. This approach allowed us to investigate broad patterns of both neutral and adaptive genetic variation across very different environments. Analyses suggested that ancestry and isolation by distance were the most significant forces driving genetic variation in desert...
The Green Wave Hypothesis posits that herbivore migration manifests in response to waves of spring green-up (i.e., green-wave surfing). Nonetheless, empirical support for the Green Wave Hypothesis is mixed, and a framework for understanding variation in surfing is lacking. In a population of migratory mule deer (Odocoileus hemionus), 31% surfed plant phenology in spring as well as a theoretically perfect surfer, and 98% surfed better than random. Green-wave surfing varied among individuals, and was unrelated to age or energetic state. Instead, the greenscape, which we define as the order, rate, and duration of green-up along migratory routes, was the primary factor influencing surfing. Our results indicate that...
The Green Wave Hypothesis posits that herbivore migration manifests in response to waves of spring green-up (i.e., green-wave surfing). Nonetheless, empirical support for the Green Wave Hypothesis is mixed, and a framework for understanding variation in surfing is lacking. In a population of migratory mule deer (Odocoileus hemionus), 31% surfed plant phenology in spring as well as a theoretically perfect surfer, and 98% surfed better than random. Green-wave surfing varied among individuals, and was unrelated to age or energetic state. Instead, the greenscape, which we define as the order, rate, and duration of green-up along migratory routes, was the primary factor influencing surfing. Our results indicate that...
The Green Wave Hypothesis posits that herbivore migration manifests in response to waves of spring green-up (i.e., green-wave surfing). Nonetheless, empirical support for the Green Wave Hypothesis is mixed, and a framework for understanding variation in surfing is lacking. In a population of migratory mule deer (Odocoileus hemionus), 31% surfed plant phenology in spring as well as a theoretically perfect surfer, and 98% surfed better than random. Green-wave surfing varied among individuals, and was unrelated to age or energetic state. Instead, the greenscape, which we define as the order, rate, and duration of green-up along migratory routes, was the primary factor influencing surfing. Our results indicate that...
|
![]() |