2017
DOI: 10.2737/nrs-rb-111
|View full text |Cite
|
Sign up to set email alerts
|

Pennsylvania forests 2014

Abstract: This report summarizes the third cycle of annualized inventory of Pennsylvania with field data collected from 2009 through 2014. Pennsylvania has 16.9 million acres of forest land dominated by sawtimber stands of oak/hickory and maple/beech/birch forest-type groups. Volumes continue to increase as the forests age with an average of 2,244 cubic feet per acre on timberland. Sawtimber volume has risen 24 percent in 10 years to 115 billion board feet. Net growth outpaced removals by a ratio of 2.4:1 on timberland.… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
12
0

Year Published

2018
2018
2022
2022

Publication Types

Select...
7

Relationship

0
7

Authors

Journals

citations
Cited by 17 publications
(12 citation statements)
references
References 47 publications
0
12
0
Order By: Relevance
“…Within a sampling zone, a smaller 1/2500th ha microplot is nested within a larger 1/750th ha microplot. The larger, 1/750th ha microplot replicates Forest Inventory and Analysis (FIA) sampling protocols [24], and the smaller, 1/2500th ha microplot replicates the Pennsylvania Department of Conservation and Natural Resources Bureau of Forestry's sampling protocol to assess deer impact [26]. Crews collected vegetation data independently for each scale at all 5 subplots at each sampling location.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Within a sampling zone, a smaller 1/2500th ha microplot is nested within a larger 1/750th ha microplot. The larger, 1/750th ha microplot replicates Forest Inventory and Analysis (FIA) sampling protocols [24], and the smaller, 1/2500th ha microplot replicates the Pennsylvania Department of Conservation and Natural Resources Bureau of Forestry's sampling protocol to assess deer impact [26]. Crews collected vegetation data independently for each scale at all 5 subplots at each sampling location.…”
Section: Methodsmentioning
confidence: 99%
“…In addition to sustainable forest management, the Bureau of Forestry is responsible for the protection of rare and endangered plants, and its inventory protocols more intensively sample understory vegetation at all CFI plot locations compared to FIA methods [21]. The FIA protocol, however, provides more data on overstory conditions, stocking rates, and available timber [24].…”
Section: Introductionmentioning
confidence: 99%
“…Within the last two decades, sweet birch (Betula lenta L.; hereafter, birch) has emerged among the few species that consistently and abundantly recruit into mesophytic and northern hardwood forests of the eastern United States. Forest Inventory and Analysis (FIA) data show, for example, sweet birch sapling (2.5-12.5 cm diameter at breast height (DBH)) density increases of 11% from 2004 to 2014 in Pennsylvania and 24% from 1993 to 2007 in New York [1,2]. This upsurge is remarkable given that, unlike other species increasing in forest understories (e.g., beech (Fagus grandifolia L.)), the relative abundance of birch in the canopy is disproportionately low compared to its abundance in forest understories [1].…”
Section: Introductionmentioning
confidence: 99%
“…Forest Inventory and Analysis (FIA) data show, for example, sweet birch sapling (2.5-12.5 cm diameter at breast height (DBH)) density increases of 11% from 2004 to 2014 in Pennsylvania and 24% from 1993 to 2007 in New York [1,2]. This upsurge is remarkable given that, unlike other species increasing in forest understories (e.g., beech (Fagus grandifolia L.)), the relative abundance of birch in the canopy is disproportionately low compared to its abundance in forest understories [1]. The proliferation of birch is particularly pronounced following overstory disturbances (e.g., pests, wind, and forest harvests), leading to situations where birch overwhelmingly dominates the regeneration layer [3][4][5][6][7].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation