2 edition of Fire ecology questions survey found in the catalog.

Fire ecology questions survey

candid expressions of research needs by land managers and scientists in western North America

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Published by Administrator in Intermountain Forest and Range Experiment Station, Forest Service, U.S. Dept. of Agriculture

    Places:
  • United States
    • Subjects:
    • Intermountain Forest and Range Experiment Station, Forest Service, U.S. Dept. of Agriculture


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      • Includes index.This research was sponsored through National Science Foundation Grant No. G13-20963, and under a cooperative agreement between the Intermountain Forest and Range Experiment Station, USDA Forest Service, and the University of Montana, Supplement No. 32 to 12-11-204-1.

        StatementIntermountain Forest and Range Experiment Station, Forest Service, U.S. Dept. of Agriculture
        PublishersIntermountain Forest and Range Experiment Station, Forest Service, U.S. Dept. of Agriculture
        Classifications
        LC Classifications1975
        The Physical Object
        Paginationxvi, 100 p. :
        Number of Pages72
        ID Numbers
        ISBN 10nodata
        Series
        1
        2General technical report INT -- 18.
        3USDA Forest Service general technical report INT -- 18.

        nodata File Size: 5MB.


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Ecology and Society 21 2.

Assessment of Public Perceptions and Attitudes to Prescribed Fire in Oklahoma

Vegetation condition is well recognized as an important factor in modeling fire occurrence because it has the most direct influence on the likelihood of burning and subsequent fire characteristics size, severity, etc.

Fire ecology questions survey management agencies like the Bureau of Land Management, the National Park Service, the U. This photo provides an example of how relevant scientific quotations were paired with artwork at the exhibit in order to enhance the public education portion of the project.

Perceptions Fire ecology questions survey Oklahoma residents to prescribed fire. For example, the above studies may have had better relationships between fire predictions and soil properties if they had used more detailed SSURGO data or a suite of digital soil mapping products.

Wikipedia citation Copy and paste this code into your Wikipedia page. The main question of interest is, of course, how did the homeowners do with their self-assessment? Information from this project is vital to these groups as they engage stakeholders in Oklahoma regarding land management activities. Most animals have the ability to move away from fire if necessary. A user persona is a semi-fictional character based on the people who currently use your website or product.

If 1-3: How could we improve? Fire severity map for the 2009 Hog Fire in southeastern Arizona, USA about 45 km northeast of Douglas, in the Peloncillo Mountainsderived from the MTBS project with available SSURGO soil map component boundaries apotential damage from fire interpretation from SSURGO band a digital soil map of predicted soil components c; Levi ; each color in panel C represents a different soil component.

However, the law does not specify which alternative products should be used, nor have we evaluated the safety or performance of potential alternatives yet. These included a summer fire field day which was attended by over 100 participants, two land management field days each with over 50 participantsand over 10 presentations to various audiences.

The increased severity and fire behavior are due to changes in fuel structure Covington and Mooreand more recently have been linked to climate warming Littell et al.

Integrating art and science to communicate the social and ecological complexities of wildfire and climate change in Arizona, USA

Research estimates that nearly 85 percent of wildland fires in the United States are caused by people. Digital soil mapping and modeling at continental scales: Finding solutions for global issues.

For example, novel partnerships among scientists, managers, and artists emerged, which helped catalyze new ideas and energize participants Jacobson et al. SoilGrids250m: Global gridded soil information based on machine learning.

These ten attributes were assigned a point value—the more points, the higher the property risk for example, a wood-shingle roof has a high point value. We do book up fast though, so the sooner you get in touch, the faster our ecologists can be on your site helping you to avoid delays.