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Full-Text Articles in Life Sciences
Method To Predict The Potential Regional Long-Term Timber Supply Using Gis And Other Publicly Available Data, Jeffery Earl, Richard A. Kluender, Robert Brewington
Method To Predict The Potential Regional Long-Term Timber Supply Using Gis And Other Publicly Available Data, Jeffery Earl, Richard A. Kluender, Robert Brewington
Journal of the Arkansas Academy of Science
While the global demand for wood products is on the rise, timber production has shifted from the Pacific Northwest to the southeastern United States in recent times. The increase in harvesting makes accurate assessment of the South's wood supply essential. Anew method is proposed for looking at the potential supply of raw woody material. The test area was three southeastern Arkansas counties. A geographic information system (GIS) using ArcView software incorporates two sources of public information. First, Forest Inventory and Analysis (FIA) data from the USDA Forest Service were queried to find land areas and volumes by timber type, as …
Assessing The Cost Of Best Management Practices In Arkansas, Richard A. Kluender, Robert C. Weih Jr., M. Corrigan, J. Pickett
Assessing The Cost Of Best Management Practices In Arkansas, Richard A. Kluender, Robert C. Weih Jr., M. Corrigan, J. Pickett
Journal of the Arkansas Academy of Science
A geographic information system (GIS) is a set of powerful, computer-based, analytical algorithms for solving spatial data problems. Recently, due to increases in memory size, computing speed, and programming advances, personal computers have been used in spatial analysis problems. This study reports the benefits of using a PC-based GIS system to solve a common, but complicated problem in forest management: assignment of harvesting areas with harvesting exclusion zones. Two stands each from the USDA Crossett Experimental Forest, the University of Arkansas Forest, and the Ouachita National Forest (total six) were analyzed to determine the changes due to following best management …
Integrating Gis And Remote Sensing With Ecosystem Research, Suzanne Wiley, Robert C. Weih Jr.
Integrating Gis And Remote Sensing With Ecosystem Research, Suzanne Wiley, Robert C. Weih Jr.
Journal of the Arkansas Academy of Science
In the Phase II Ecosystem Management Research Program in the Ouachita and Ozark National Forests, an interdisciplinary group of scientists are evaluating the effects and trade-offs of partial cutting methods in a replicated stand level study. Information from approximately 2,000 plots is being collected by more than fifty researchers during this five-year project with plans to continue data collection long term. To evaluate the effects of different management strategies and their interactions with forest resources, data must be brought into a common format and made available to all researchers. To this end, a data support system was developed which utilizes …
Classification System For The Natural Vegetation Of Arkansas, Thomas L. Foti, Martin Blaney, Xiaojun Li, Kimberly G. Smith
Classification System For The Natural Vegetation Of Arkansas, Thomas L. Foti, Martin Blaney, Xiaojun Li, Kimberly G. Smith
Journal of the Arkansas Academy of Science
We present a hierarchical classification system for existing natural vegetation of Arkansas based on the United Nations Educational, Scientific and Cultural Organization (UNESCO) system. It incorporates aspects of systems in use by the Nature Conservancy, Arkansas Natural Heritage Commission, Arkansas Game and Fish Commission, Society of American Foresters, and United States Forest Service, as well as data on potential vegetation from maps by E.E. Dale and A.W. Kuchler. A total of 18 physiognomic cover types are recognized for natural terrestrial cover, 6 for palustrine cover, and 4 each for lacustrine cover and riverine cover. Over 200 community types are recognized, …