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This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are, increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
This dataset depicts Wolf (Canis lupus) habitat in the Northern Appalachians predicted using the spatially explicit population model PATCH under the current habitat effectiveness plus low US mortality plus moderate Canadian mortality scenario (Carroll 2003). This dataset represents one of several scenarios testing the effects of habitat effectiveness and mortality rates on wolf populations. Static habitat suitability models for wolf were fed through PATCH to predict source and sink habitat areas across the landscape. The static models for wolf were created based on current and projected habitat effectiveness, which were based in part on road density and human population density. Wolf fecundity rates were based on...
This dataset depicts Wolf (Canis lupus) habitat in the Northern Appalachians predicted using the spatially explicit population model PATCH under the projected habitat effectiveness for 2025 plus moderate US mortality plus low Canadian mortality scenario (Carroll 2003). This dataset represents one of several scenarios testing the effects of habitat effectiveness and mortality rates on wolf populations. Static habitat suitability models for wolf were fed through PATCH to predict source and sink habitat areas across the landscape. The static models for wolf were created based on current and projected habitat effectiveness, which were based in part on road density and human population density. Wolf fecundity rates were...
This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are, increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
This location is part of the Arizona Mineral Industry Location System (AzMILS), an inventory of mineral occurences, prospects and mine locations in Arizona. Maricopa218A is located in T6N R4W Sec 16 NW in the Wickenburg Sw - 7.5 Min quad. This collection consists of various reports, maps, records and related materials acquired by the Arizona Department of Mines and Mineral Resources regarding mining properties in Arizona. Information was obtained by various means, including the property owners, exploration companies, consultants, verbal interviews, field visits, newspapers and publications. Some sections may be redacted for copyright. Please see the access statement.
This feature class describes areas used for subsistence harvesting of wolves in 2009 by surveyed households in Aniak, Alaska. This is a partial representation of areas used for resource harvesting in 2009.
We investigated the dynamics of canine distemper virus (CDV) in grizzly bears (Ursus arctos) and wolves (Canis lupus) of the Greater Yellowstone Ecosystem (GYE) using serological data collected from 1984 to 2014. 565 sera samples were obtained from 425 unique grizzly bears (134 females and 291 males) from 1984 to 2014 and 319 sera samples were obtained from 285 unique wolves (130 females and 155 males) from 1996 to 2014. Here we provide the unique identifier for each individual, the species and sex, the date the individual was captured, the estimated birth year and age, and the CDV antibody titer results based upon serum neutralization assays.
Categories: Data;
Tags: Grand Teton National Park,
Grizzly bear,
Idaho,
Montana,
USGS Science Data Catalog (SDC),
This dataset depicts Wolf (Canis lupus) habitat in the Northern Appalachians predicted using the spatially explicit population model PATCH under the current habitat effectiveness plus high US mortality plus moderate Canadian mortality scenario (Carroll 2003). This dataset represents one of several scenarios testing the effects of habitat effectiveness and mortality rates on wolf populations. Static habitat suitability models for wolf were fed through PATCH to predict source and sink habitat areas across the landscape. The static models for wolf were created based on current and projected habitat effectiveness, which were based in part on road density and human population density. Wolf fecundity rates were based...
This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are, increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are, increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are, increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are, increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
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