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Forests on the Edge: A GIS-based Approach to Projecting Housing Development on Private Forests

The private working land base of America?s forests, farms, and ranches is being converted at the rate of nearly 1,620 ha (4,000 acres) per day with tremendous economic, ecological, and social impacts. The United States Department of Agriculture (USDA) Forest Service is sponsoring the ?Forests on the Edge? project to develop a better understanding of the contributions...

https://www.fs.usda.gov/treesearch/search?keywords=%22development%22&%3Bf%5B0%5D=author_facet%3A%22Bramwell%2C%20Lincoln%22&f%5B0%5D=author_facet%3A%22Otrosina%2C%20William%22&f%5B1%5D=author_facet%3A%22Schulz%2C%20Bethany%22&f%5B2%5D=author_facet%3A%22Peterson%2C%20David%22&f%5B3%5D=author_facet%3A%22McKelvey%2C%20Kevin%22&f%5B4%5D=author_facet%3A%22Nelson%2C%20Mark%22&f%5B5%5D=author_facet%3A%22Monserud%2C%20Robert%22&f%5B6%5D=year%3A%222006%22

Author(s):

Ron McRoberts; Mark Nelson; David Theobald; Mike Eley; Mike Dechter

Year:

2006

Keywords:

monitoring, assessment, sustainability, Western Hemisphere, sustainable management, ecosystem resources, GIS, housing development, forests

Source:

In: Aguirre-Bravo, C.; Pellicane, Patrick J.; Burns, Denver P.; and Draggan, Sidney, Eds. 2006. Monitoring Science and Technology Symposium: Unifying Knowledge for Sustainability in the Western Hemisphere Proceedings RMRS-P-42CD. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. p. 736-743

Developing statistical wildlife habitat relationships for assessing cumulative effects of fuels treatments: Final Report for Joint Fire Science Program Project

The primary weakness in our current ability to evaluate future landscapes in terms of wildlife lies in the lack of quantitative models linking wildlife to forest stand conditions, including fuels treatments. This project focuses on 1) developing statistical wildlife habitat relationships models (WHR) utilizing Forest Inventory and Analysis (FIA) and National Vegetation...

Author(s):

Samuel A. Cushman; Kevin S. McKelvey

Year:

2006

Keywords:

wildfire, wildlife habitat relationships models (WHR), fuels treatments

Source:

JFSP 01-1-3-27. Missoula, MT: USDA Forest Service, Rocky Mountain Research Station, Missoula Fire Sciences Laboratory. 8 p.

Development of annualized diameter and height growth equations for red alder: preliminary results.

Most individual-tree based growth and yield models use a 5- to 10-year time step, which can make projections for a fast-growing species like red alder quite difficult. Further, it is rather cumbersome to simulate the effects of intensive silvicultural treatments such as thinning or pruning on a time step longer than one year given the highly dynamic nature of growth...

Author(s):

Aaron Weiskittel; Sean M. Garber; Greg Johnson; Doug Maguire; Robert A. Monserud

Year:

2006

Keywords:

Source:

In: Hardwood Silvicultural Cooperative Annual Report: 28-32

The Process of Indicator Selection

Of all the steps in monitoring, choosing the correct indicators is arguably the most important. The challenge is obvious: among all the possible attributes of an ecosystem that can be measured, select a small number whose measurement will tell you something about all of the unmeasured attributes and processes. Even if a monitoring program is fully funded and...

Author(s):

Barry R. Noon; Kevin S. McKelvey

Year:

2006

Keywords:

monitoring, assessment, sustainability, Western Hemisphere, sustainable management, ecosystem resources, indicator selection

Source:

In: Aguirre-Bravo, C.; Pellicane, Patrick J.; Burns, Denver P.; Draggan, Sidney, eds. Monitoring Science and Technology Symposium: Unifying Knowledge for Sustainability in the Western Hemisphere. Proceedings RMRS-P-42CD. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. p. 944-951.

Spatial variability in forest growth—climate relationships in the Olympic Mountains, Washington.

For many Pacific Northwest forests, little is known about the spatial and temporal variability in tree growth - climate relationships, yet it is this information that is needed to predict how forests will respond to future climatic change. We studied the effects of climatic variability on forest growth at 74 plots in the western and northeastern Olympic Mountains....

Author(s):

Jill M. Nakawatase; David L. Peterson

Year:

2006

Keywords:

Source:

Canadian Journal of Forest Research. 36: 77-91

WestProPlus: a stochastic spreadsheet program for the management of all-aged Douglas-fir–hemlock forests in the Pacific Northwest.

WestProPlus is an add-in program developed to work with Microsoft Excel to simulate the growth and management of all-aged Douglas-fir?western hemlock (Pseudotsuga menziesii (Mirb.) Franco?Tsuga heterophylla (Raf.) Sarg.) stands in Oregon and Washington. Its built-in growth model was calibrated from 2,706 permanent plots in the...

Author(s):

Jingjing Liang; Joseph Buongiorno; Robert A. Monserud

Year:

2006

Keywords:

WestProPlus, simulation, growth model, Douglas-fir, western hemlock, management, economics, ecology, diversity, wood quality, risk, stochastic, deterministic

Source:

Gen. Tech. Rep. PNW-GTR-674. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. 42 p

Total Publications in Treesearch: 53,211

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Forests on the Edge: A GIS-based Approach to Projecting Housing Development on Private Forests

Developing statistical wildlife habitat relationships for assessing cumulative effects of fuels treatments: Final Report for Joint Fire Science Program Project

Development of annualized diameter and height growth equations for red alder: preliminary results.

The Process of Indicator Selection

Spatial variability in forest growth—climate relationships in the Olympic Mountains, Washington.

WestProPlus: a stochastic spreadsheet program for the management of all-aged Douglas-fir–hemlock forests in the Pacific Northwest.

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