1985
DOI: 10.5962/bhl.title.70023
|View full text |Cite
|
Sign up to set email alerts
|

Forest statistics for Vermont, 1973 and 1983 /

Abstract: A statistical report on the fourth forest survey of Vermont conducted in 1982-1983 by the Forest Inventory and Analysis Unit, Northeastern Forest Experiment Station. Statistics for forest area, numbers of trees, timber volume, tree biomass, and timber products output are displayed at the state, unit, and county levels. The current inventory indicates that the state has approximately 6.3 billion cubic feet of growing-stock volume or 211.9 million tons of net green weight on 4.4221 million acres of timberland. T… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
12
0

Year Published

1990
1990
2011
2011

Publication Types

Select...
5
2

Relationship

0
7

Authors

Journals

citations
Cited by 12 publications
(12 citation statements)
references
References 0 publications
0
12
0
Order By: Relevance
“…Although redstart populations remained stable in this region during the 29 years of BBS data, a more detailed look at the BBS data suggests a further division of the region into areas corresponding to southern Vermont, where redstart abundance increased, and southern New Hampshire, where it decreased (P.D.H., unpublished data). This may be due to slightly different landscapes in these two southern subregions: Vermont has a higher percentage of hardwood forest (Frieswyk & Malley 1985a), whereas New Hampshire has more pine (Frieswyk & Malley 1985b), and the recent decline in sapling cover was more extreme in New Hampshire than in Vermont. These differences exist between northern Vermont and northern New Hampshire as well, but the two states are much more similar there than in the south.…”
Section: Discussionmentioning
confidence: 99%
“…Although redstart populations remained stable in this region during the 29 years of BBS data, a more detailed look at the BBS data suggests a further division of the region into areas corresponding to southern Vermont, where redstart abundance increased, and southern New Hampshire, where it decreased (P.D.H., unpublished data). This may be due to slightly different landscapes in these two southern subregions: Vermont has a higher percentage of hardwood forest (Frieswyk & Malley 1985a), whereas New Hampshire has more pine (Frieswyk & Malley 1985b), and the recent decline in sapling cover was more extreme in New Hampshire than in Vermont. These differences exist between northern Vermont and northern New Hampshire as well, but the two states are much more similar there than in the south.…”
Section: Discussionmentioning
confidence: 99%
“…This inventory was a cooperative effort of the Northern Research Station, the Vermont Department of Forests, Parks and Recreation, and landowners of Vermont, and is the culmination of the fi rst complete inventory of Vermont's forests using FIA's annualized forest inventory system. Previous forest inventories, completed in 1948 (McGuire andWray 1952), 1965 (Kingsley andBarnard 1968), 1973 (Kingsley 1977, Frieswyk andMalley 1985), 1983 Malley 1985, Frieswyk andWidmann 2000), and 1997 (Frieswyk and Widmann 2000), were collected under a different inventory system in which states were inventoried periodically with no measurements made between inventories. The annualized system was implemented to provide updated forest inventory information every year based on a 5year cycle.…”
Section: Data Sources and Techniquesmentioning
confidence: 99%
“…Error bars represent 68% confi dence interval around estimate. Vermont, 1948, 1966, 1973, 1997. (Grand Isle County not reported in 1966or 1973inventories and combined with Franklin County in 1983and 1997 Projection: Vermont State Plane, NAD83.…”
Section: What We Foundmentioning
confidence: 99%
“…The study area included 40 sample data points within Lamoille County, Vermont, from the 1982-1983 U.S. Forest Service's Resource Evaluation Survey of Vermont (Frieswyk and Malley 1985). Lamoille County was chosen in part because of the number of sample points selected there, which appeared large enough to present various boundary conditions but small enough that any boundary effects would not be overshadowed by an unaffected interior region.…”
Section: A Comparative Studymentioning
confidence: 99%