Precision conservation : geospatial techniques for agricultural and natural resources conservation
by
Soil erosion modeling and conservation planning / James C. Ascough II, Dennis C. Flanagan, John Tatarko, Mark A. Nearing, Holm Kipka -- Nitrogen component in nonpoint source pollution models / Yongping Yuan, Ronald Bingner, Henrique Momm -- GPS, GIS, guidance, and variable rate technologies for conservation management / John Fulton, Matthew Darr -- Identifying riparian zones best suited to installation of saturated buffers : a preliminary multi-watershed assessment / Mark Tomer, D.B. Jaynes, Sarah Porter, David E. James, T.M. Isenhart -- Vegetative filters / Mike Dosskey, Surendran Neelakantan, Tommy Mueller, Zeyuan Qiu -- Identifying and characterizing ravines with GIS terrain attributes for precision conservation / David J. Mulla, S. Belmont -- Grassed waterways / Peter Fiener, Karl Auerswald -- Terraces / Allen Thompson, Ken Sudduth -- Elements of precision manure management / Peter J.A. Kleinman, Anthony R. Buda, Andrew N. Sharpley, Raj Khosla -- Irrigation management / David L. Bjorneberg, Robert G. Evans, E. John Sadler -- GIS and GPS applications for planning, design, and management of drainage systems / Vinayak S. Shedekar, Larry C. Brown -- Calculating soil organic turnover at different landscape position in precision conservation / David E. Clay, Jiyul Chang, Graig Reicks, Sharon A. Clay, Cheryl Reese -- Precision conservation for biofuel production / Indrajeet Chaubey, Cibin Raj, Qingyu Feng -- Precision conservation to enhance wildlife benefits in agricultural landscapes / Mark D. McConnell, L. Wes Burger, Jr. -- Precision conservation and water quality markets / Ali Saleh, Edward Osei -- Field- and farm-scale assessment of soil greenhouse gas mitigation using COMET-farm / Keith Paustian, Mark Easter, Kevin Brown, Adam Chambers, Marlen Eve, Adriane Huber, Ernie Marx, Mark Layer, Matt Sterner, Ben Sutton, Amy Swan, Crystal Toureene, Sobha Verlayudhan, Steve Williams -- Precision conservation and precision regulation / G.F. Sassenrath, J.A. Delgado.
National Individual Tree Species Atlas
by
This reference volume covers each tree species in the United States and precisely where each species is likely to grow or not grow. This illustrated work will benefit silviculturists, foresters, geneticists, researchers, botanists, wildlife habitat biologists, landscape ecologists-essentially anyone involved in natural resources management, monitoring impacts of climate change, or visiting America's forests and landscapes.
Book of Aerial Stereo Photographs: an Introduction to Geology, Geography, Conservation, Forestry, and Surveying Using Stereo Photographs
by
The 92 stereo photographs of prominent landmarks around the country—Mt. Rainier in WA, Grand Teton in WY, Monument Valley in AZ—were taken using aerial photography. Use the book to study landforms, rock structures, vegetation, soils, wind action, stream erosion, volcanic features, effect of glaciation and more, including many cultural features. Each picture has a description of the region, and the prominent features are keyed to the index grid system. Stereoscope glasses (listed separately as AP5264) are needed to view the images in three dimensions. 92 pages, 8½" × 11", spiral-bound.
Atlas of United States Trees
by
v. 1. Conifers and important hardwoods, by E.L. Little, Jr.--v. 2. Alaska trees and common shrubs, by L.A. Viereck and E.L. Little, Jr.--v. 3. Minor western hardwoods, by E.L. Little, Jr. (1314) --v. 4. Minor eastern hardwoods, by E.L. Little, Jr. (--v. 5. Florida, by E.L. Little, Jr.--v. 6. Supplement, by E.L. Little, Jr.
Great Smoky Mountains National Park Vegetation Mapping Project
by
Mappers, ecologists, and botanists collaborated to affirm vegetation types of GRSM and to determine
how best to map the vegetation types by using aerial imagery. A vegetation classification developed
in 2003 by NatureServe and the NPS served as a foundation to further classify and map the
vegetation types of the Park. Data from an additional 10 vegetation plots supported vegetation types
either rare or not documented in the 2003 classification. Data from 203 verification sites were
collected to test the field key to vegetation types and the application of vegetation types to a sample
set of map polygons. Furthermore, data from 972 accuracy assessment (AA) sites were collected (of
which 966 were used to test accuracy of the vegetation map layer). This GRSM vegetation mapping
project identified 112 vegetation types consisting of 105 association types in the U.S. National
Vegetation Classification (USNVC), 2 “park-special” types, 1 “map-special” type, and 4 cultural
types in the USNVC.
National individual tree species atlas
by
This reference volume covers each tree species in the United States and precisely where each species is likely to grow and not grow. This illustrated work will benefit silviculturists, foresters, geneticists, researchers, botanists, wildlife habitat biologists, landscape ecologists—essentially anyone involved in natural resources management, monitoring impacts of climate change or visiting America's forests and landscapes. Table of Contents National Individual Tree Species Atlas v Dedication and Acknowledgements iii List of Maps Conifers vi List of Maps Hardwoods v ii Preface ix Introduction Mapped Atlas Methods Overlays Map Preparation Modeled Atlas Methods Predictor Layers United States Geological Survey Map Zone Climate Terrain Soils Imagery Ground Data Individual Species Modeling Validation Application of the Maps Color Scheme Model Fit Leaves Other Data Specific Notes Changes to species classifications Notable differences in range Species observed Species notes Feedback Conifers Hardwoods Appendices Appendix A (Predictor Layers) Appendix B (Species Metadata) Appendix C (Indices) Appendix D (Photo Credits) References
Atlas of rural and small-town America
by
"Objectives ...: To provide a spatial interpretation of county-level, economic and social conditions along four dimensions: people, jobs, agriculture, and county classifications; To highlight the value of the U.S. Census Bureau's American Community Survey ... and ... data from several different Federal sources."
Allows generation and download in JPG or PNG formats of maps that reflect selected characteristics. Allows download of numeric data in Micosoft Excel spreadsheet format.
The national tree-list layer : a seamless, spatially explicit tree-list layer for the continental United States
by
The National Tree-List Layer (NTLL) project used LANDFIRE map products to produce the first national tree-list map layer that represents tree populations at stand and regional levels. The NTLL was produced in a short time frame to address the needs of Fire and Aviation Management for a map layer that could be used as input for simulating fire-caused tree mortality across landscapes. Simulated tree mortality estimates using the NTLL as model input provided acceptable results when compared with tree mortality simulations using field-sampled tree attribute data. Our results indicate that fire managers can expect simulated tree-mortalities using the NTLL to predict fire-caused tree mortality as well as field-measured plot data, especially during extreme wildfire events. Decision makers can use tree mortality maps that are produced using the NTLL to develop and support decisions such as where to place fuels treatments or where to most effectively position fire suppression resources.
Atlas of Current and Potential Future Distributions of Common Trees of the Eastern United States
by
This atlas documents the current and possible future distribution of 80 common tree species in
the Eastern United States and gives detailed information on environmental characteristics
defining these distributions. Also included are outlines of life history characteristics and summary
statistics for these species. Much of the data are derived from Forest Inventory and Analysis
(FIA) data, analyzed in concert with 33 environmental variables within a geographic information
system. Life history information, including regeneration and disturbance characteristics, were
generated via the literature and are provided in data base format. Summary statistics offer an
overall perspective on the tree species of the eastern United States. Regression tree analysis
models were constructed to determine possible future habitat for each species under two
scenarios of global climate change. Results show that, depending on the scenario, 4-8 of the 80
species could be extirpated from the Eastern United States after climate change. Appendices
provide information on the data and methods used, including demonstration of a migration model.