Filters: Tags: moisture (X)
24 results (13ms)|
Filters
Date Range
Extensions
Types
Contacts
Categories Tag Types
|
Climate projection data were downloaded from the Climatewizard application for the coastal region for the Gulf of Mexico. Climate projection data represent the monthly, seasonal, and yearly mean for the time period of 2000-2050 for the following variables: AET:PET ratio, Moisture deficit, Moisture surplus, PET, Precipitation, Temperature, Rainfall Anomaly, and Standard Precipitation Index. In addition, models representing change in the average mean from period of (1961-1990) is available for each of the variables. Each projected variable is modeled using three different emission scenarios High (A1), Medium (A1B) and Low (B1).
Climate projection data were downloaded from the Climatewizard application for the coastal region for the Gulf of Mexico. Climate projection data represent the monthly, seasonal, and yearly mean for the time period of 2000-2050 for the following variables: AET:PET ratio, Moisture deficit, Moisture surplus, PET, Precipitation, Temperature, Rainfall Anomaly, and Standard Precipitation Index. In addition, models representing change in the average mean from period of (1961-1990) is available for each of the variables. Each projected variable is modeled using three different emission scenarios High (A1), Medium (A1B) and Low (B1).
Winter climate change has the potential to have a large impact on coastal wetlands in the southeastern U.S. Warmer winter temperatures and reductions in the intensity of freeze events would likely lead to mangrove forest range expansion and salt marsh displacement in parts of the U.S. Gulf of Mexico and Atlantic coast. The objective of this research was to better understand some of the ecological implications of mangrove forest migration and salt marsh displacement. The potential ecological effects of mangrove migration are diverse ranging from important biotic impacts (e.g., coastal fisheries, land bird migration; colonial nesting wading birds) to ecosystem stability (e.g., response to sea level rise and drought;...
A 30 meter integer grid representing ecosystem resilience and resistance in sagebrush habitat. “Resilience” and “resistance” to rangeland fire is the basis of the Fire and Invasive Assessment Tool (FIAT) analysis project. In simple terms, “resilience” is the ability of an area to recover from a disturbance, such as wildfire or drought. “Resistance” is the ability of an area of land to remain largely unchanged in the face of stress, disturbance, or invasive species. A resilient, resistant landscape will have integrity and be less susceptible to conversion to invasive annual grasses and landscape-scale, high-intensity fires and their effects. This raster was derived from the unique combinations of two datasets. The...
Types: Live Data;
Tags: Bureau of Land Management,
COR,
FIAT,
Fire,
Fire and Invasive Assessment Tool,
|
|
