Folders: ROOT > ScienceBase Catalog > National and Regional Climate Adaptation Science Centers > South Central CASC > FY 2021 Projects ( Show direct descendants )
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ROOT _ScienceBase Catalog __National and Regional Climate Adaptation Science Centers ___South Central CASC ____FY 2021 Projects
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Pollinator restoration requires information about what species to plant and when to plant them to ensure food sources are available throughout the periods when pollinators are active. Changes in climate, including earlier spring warming and warmer fall temperatures, may cause flowering to become out of sync with pollinator activity. When restoring land to support pollinators, managers are challenged to select a mix of species that support pollinators of concern throughout their periods of activity. Existing planting tools have several disadvantages such as, their usability is location specific, they are virtually non-existent for the South Central region, and they do not often account for future changes in plant...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2021,
CASC,
Other Wildlife,
Other Wildlife,
Plants,
In the Western U.S., approximately 65% of the water supply comes from forested regions with most of the water that feeds local rivers coming from snowmelt that originates in mountain forests. The Rio Grande headwaters (I.e. the primary water generating region of the Rio Grande river) is experiencing large changes to the landscape primarily from forest fires and bark beetle infestations. Already, 85% of the coniferous forests in this region have been affected by the bark beetle, and projections indicate greater changes will occur as temperatures increase. In this area, most of the precipitation falls as snow in the winter, reaches a maximum depth in the late spring, and melts away due to warmer temperatures by early...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2021,
CASC,
Data Visualization & Tools,
Data Visualization & Tools,
Drought,
Climate change has been, is, and will continue to affect Indigenous peoples across the south-central United States, amplifying a need to plan for and adapt to these changes before the impacts become catastrophic. Since June 2012, the South Central Climate Adaptation Science Center (CASC) has partnered with Tribes across Louisiana, New Mexico, Oklahoma, and Texas to conduct research, education, and outreach related to climate change, adaptation, and resilience; however, much more work is needed to prepare for climate change impacts on Indigenous lands, waters, and people. In this project, the research team will focus on strengthening South Central CASC partnerships with the Tribes and Pueblos in the South Central...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2021,
CASC,
Indigenous Peoples,
Indigenous Peoples,
Projects by Region,
Canopy Density and Canopy Structure Metrics were derived for the San Juan Mountains of Southwest Colorado from Aerial point cloud data at a 1-meter resolution. The aerial Lidar data originated from the ‘CO_Southwest_NRCS_2018’ project prepared by Quantum Spatial for the USGS from a series of flyovers between 2018 and 2019 and were made available in 2021. Canopy Density metrics include Canopy Closure (CC) and Leaf Area Index (LAI). Canopy Structure metrics include total gap area, mean distance to canopy, canopy edginess to the south and canopy edginess to the north. These Canopy Density and Canopy Structure Metrics were used to partition 100 m grid cells over the same area for a snow melt model called SNOWMODEL....
Canopy Density and Canopy Structure Metrics were derived for the San Juan Mountains of Southwest Colorado from Aerial point cloud data at a 1-meter resolution. The aerial Lidar data originated from the ‘CO_Southwest_NRCS_2018’ project prepared by Quantum Spatial for the USGS from a series of flyovers between 2018 and 2019 and were made available in 2021. Canopy Density metrics include Canopy Closure (CC) and Leaf Area Index (LAI). Canopy Structure metrics include total gap area, mean distance to canopy, canopy edginess to the south and canopy edginess to the north.
Pollinator restoration presents many challenges, from selecting which species to plant to provide nectar during critical periods, to anticipating how these plant species will respond to changes in climate. A better understanding of flowering and seed timing for critical nectar plants, and the links between this activity and climate, can inform more resilient restoration plantings. We are a team of collaborators from the Bosque Ecosystem Monitoring Program, the Tribal Alliance for Pollinators, the Gulf Coast Phenology Trail, and the USA National Phenology Network, supported by a grant from the South Central Climate Adaptation Science Center. Our project, Time to Restore: Connecting People, Plants, and...
The combined effects of climate change (e.g. increased freshwater supply, sea level rise, etc.), leveeing of the Mississippi River, and the gradual settling of soil have led to a land loss crisis in coastal Louisiana. Coastal wetlands provide various ecosystem services to local coastal communities, such as storm protection, flood control, and habitat for economically and ecologically important plants and animals. The loss of such valuable wetlands has become concerning to these communities as well as natural resource managers. Creating new coastal wetlands and reconnecting the Mississippi River to adjacent wetlands are two common strategies to mitigate coastal land loss and protect vulnerable coastal communities,...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2021,
CASC,
Projects by Region,
Rivers, Streams and Lakes,
Rivers, Streams and Lakes,
Abstract (from Water): This review focuses on the use of Interpretable Artificial Intelligence (IAI) and eXplainable Artificial Intelligence (XAI) models for data imputations and numerical or categorical hydroclimatic predictions from nonlinearly combined multidimensional predictors. The AI models considered in this paper involve Extreme Gradient Boosting, Light Gradient Boosting, Categorical Boosting, Extremely Randomized Trees, and Random Forest. These AI models can transform into XAI models when they are coupled with the explanatory methods such as the Shapley additive explanations and local interpretable model-agnostic explanations. The review highlights that the IAI models are capable of unveiling the rationale...
Categories: Publication;
Types: Citation
The greater Mississippi River Basin (MRB) drains 3.2 million square kilometers of land and spans 31 U.S. states. Ninety percent of all U.S. agricultural exports are grown in the MRB, and about 40 percent of the nation's total exports are transported through its major rivers. Ecologically, 24 terrestrial ecoregions comprise MRB, supporting amphibious, reptile, and mammal species. MRB provides habitat for almost 250 fish and 50 mussel species, its floodplain supports about 40 percent of North America’s wading birds and waterfowl, and over 180 National Wildlife Refuges operate across this region. Climate change is projected to disrupt the amount, frequency, extent, and timing of precipitation events across the MRB....
Categories: Publication;
Types: Citation
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