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Displaying 4,451 - 4,460 of 64,641 Publications- Camera or genetic data are increasingly used to estimate wildlife abundance and density. We integrated video camera data with genetic data over 7 years to estimate annual age-structured apparent survival of American black bears (Ursus americanus). We identified 70 individuals through meticulous scrutiny of 7531 video captures, cross-referenced with 721 genetic captures from hair samples concurrently collected from stations in view of cameras. We used the Cormack-Jolly-Seber model in Program Mark to estimate annual age-structured apparent survival for yearling males, yearling females, 2+...AuthorsMelissa Reynolds-Hogland, Alan B. Ramsey, Carly Muench, Kristine L. Pilgrim, Cory L. Engkjer, Grace Erba, Philip W. RamseyKeywordsSourcePopulation Ecology. 64: 300-322.Year2022
- LANDFIRE assigns disturbance, vegetation, fuel, and fire regime classifications to every pixel within every 30 meters of land in the United States. A good example of these methods is the process of assigning a pixel to an ecological system or to a U.S. National Vegetation Classification group, LANDFIRE’s two vegetation type classifications. LANDFIRE uses the relation between satellite image surface reflectance and field plots to extrapolate vegetation classes to other pixels containing similar information. The satellite reflectance data come primarily from 30-meter Landsat sensors and...AuthorsInga La Puma, Timothy D. HattenSourceFact Sheet 2022-3034. Washington DC: U.S. Department of the Interior, U.S. Geological Survey. 4 p.Year2022
- Layers of cellulose nanofibers (CNF) have great potential to be used in food packaging applications because of their oxygen and grease barrier properties. However, because of their sensitivity to moisture, they likely will need to be used in a layered structure with water vapor barrier layers. Waterborne barrier coatings (WBBC) have the potential to provide this water vapor barrier, but their performance on paper with a CNF layer has not been described in the literature. Paper that had a CNF layer was coated with three different WBBC with various levels of two different barrier pigments to...AuthorsMohammed Al-Gharrawi, Rachel Ollier, Jinwu Wang, Douglas W. BousfieldKeywordsSourceJournalYear2022
- This resource update is a brief look at some of the basic metrics that describe the status of and changes to forest resources in Wisconsin. This information is based on field data collected using the USDA Forest Service Forest Inventory and Analysis (FIA) annualized sample design, and it is updated yearly. Tables for Forests of Wisconsin, 2021 can be found at https://doi.org/10.2737/FS-RU-364-Tables. The FIA one-click application that generated this report can be found at https://doi.org/10.2737/FIA-One-Click-State-Report-v1.2.AuthorsUSDA Forest Service.SourceResource Update FS-364. Madison, WI: U.S. Department of Agriculture, Forest Service, Northern Research Station.Year2022
- This resource update is a brief look at some of the basic metrics that describe the status of and changes to forest resources in Vermont. This information is based on field data collected using the USDA Forest Service Forest Inventory and Analysis (FIA) annualized sample design, and it is updated yearly. Tables for Forests of Vermont, 2021 can be found at https://doi.org/10.2737/FS-RU-373-Tables. The FIA one-click application that generated this report can be found at https://doi.org/10.2737/FIA-One-Click-State-Report-v1.2.AuthorsUSDA Forest Service.SourceResource Update FS-373. Madison, WI: U.S. Department of Agriculture, Forest Service, Northern Research Station. 2p.Year2022
- This resource update is a brief look at some of the basic metrics that describe the status of and changes to forest resources in West Virginia. This information is based on field data collected using the USDA Forest Service Forest Inventory and Analysis (FIA) annualized sample design, and it is updated yearly. Tables for Forests of West Virginia, 2021 can be found at https://doi.org/10.2737/FS-RU-375-Tables. The FIA one-click application that generated this report can be found at https://doi.org/10.2737/FIA-One-Click-State-Report-v1.2.AuthorsUSDA Forest Service.SourceResource Update FS-375. Madison, WI: U.S. Department of Agriculture, Forest Service, Northern Research Station. 2p.Year2022
- This resource update is a brief look at some of the basic metrics that describe the status of and changes to forest resources in Pennsylvania. This information is based on field data collected using the USDA Forest Service Forest Inventory and Analysis (FIA) annualized sample design, and it is updated yearly. Tables for Forests of Pennsylvania, 2021 can be found at https://doi.org/10.2737/FS-RU-381-Tables. The FIA one-click application that generated this report can be found at https://doi.org/10.2737/FIA-One-Click-State-Report-v1.2.AuthorsUSDA Forest Service.SourceResource Update FS-381. Madison, WI: U.S. Department of Agriculture, Forest Service, Northern Research Station. 2p.Year2022
- Cycling of carbon (C), nitrogen (N), calcium (Ca), phosphorus (P), and sulfur (S) is an important ecosystem service that forest soils provide. Humans influence these biogeochemical processes through the deposition of atmospheric pollutants and site disturbances. One way to study these potential anthropogenic trajectories is through long-term monitoring in association with human-caused environmental gradients such as urban-rural gradients. The objective of this study was to characterize changes in surface soil chemistry of urban, suburban and rural forest patches in the Baltimore Metropolita...AuthorsIan Yesilonis, Vincent Giorgio, Yinhong Hu, Richard Pouyat, Katalin SzlaveczKeywordsSourceFrontiers in Ecology and EvolutionYear2022
- Active forest management is applied in many parts of the western United States to reduce wildfire severity, mitigate vulnerability to drought and bark beetle mortality, and more recently, to increase snow retention and late-season streamflow. A rapidly warming climate accelerates the need for these restorative treatments, but the treatment priority among forest patches varies considerably. We simulated four treatment scenarios across the 3,450 km2 Wenatchee River basin in eastern Washington, United States. We used a decision support tool (DST) to assess trade-offs and synergies within and...AuthorsNicholas Povak, Tucker J. Furniss, Paul F. Hessburg, Brion Salter, Mark Wigmosta, Zhuoran Duan, Miles LeFevreKeywordsSourceFrontiers in Forests and Global Change. 5: 805179.Year2022
- Forest biological disturbance agents (BDAs) are insects, pathogens, and parasitic plants that affect tree decline, mortality, and forest ecosystems processes. BDAs are commonly thought to increase the likelihood and severity of fire by converting live standing trees to more flammable, dead and downed fuel. However, recent research indicates that BDAs do not necessarily increase, and can reduce, the likelihood or severity of fire. This has led to confusion regarding the role of BDAs in influencing fuels and fire in fire-prone western United States forests. Here, we review the existing...AuthorsDavid C. Shaw, Peter A. Beedlow, E. Henry Lee, David R. Woodruff, Garrett W. Meigs, Stephen J. Calkins, Matthew Reilly, Andrew Merschel, Steven P. Cline, Randy L. ComeleoKeywordsSourceForest Ecology and Management. 525(42): 120572.Year2022