Pennsylvania's Forests, 2009

McCaskill, George L.; McWilliams, William H.; Alerich, Carol A.; Butler, Brett J.; Crocker, Susan J.; Domke, Grant M.; Griffith, Doug; Kurtz, Cassandra M.; Lehman, Shawn M.; Lister, Tonya W.; Morin, Randall S.; Moser, W. Keith; Roth, Paul A.; Riemann, Rachel; Westfall, James A.

doi:10.2737/nrs-rb-82

Cited by 12 publications

(14 citation statements)

References 21 publications

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“…The soils of the Poconos region are largely undeveloped inceptisols that are thin, acidic, and have even been described as "inhospitable to plant growth" (Oplinger and Halma 2006:14). Such soils are thus of little use to agriculture (White and Chance 1882) and the region is now almost completely forested with minimal contemporary agricultural influence (McCaskill et al 2009). This forested landscape, although managed in part for timber production, remains dominated by mature mixed-oak and northern hardwood forests (80-110 yr), woody wetlands, and suburban areas scattered throughout (McCaskill et al 2009).…”

Section: Study Areamentioning

confidence: 99%

“…Such soils are thus of little use to agriculture (White and Chance 1882) and the region is now almost completely forested with minimal contemporary agricultural influence (McCaskill et al 2009). This forested landscape, although managed in part for timber production, remains dominated by mature mixed-oak and northern hardwood forests (80-110 yr), woody wetlands, and suburban areas scattered throughout (McCaskill et al 2009). We studied Golden-winged Warblers within the largest expanse (> 32,000 ha) of public land within the Poconos region, the Delaware State Forest (DSF).…”

Section: Study Areamentioning

confidence: 99%

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Using a natural reference system to evaluate songbird habitat restoration

McNeil¹,

Fiss²,

Wood³

et al. 2018

ACE

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ABSTRACT. The Golden-winged Warbler (Vermivora chrysoptera) is an imperiled songbird that breeds in early-successional plant communities of eastern North America. Conservation efforts on the breeding grounds have become a priority because population declines are thought to be driven, in part, by the loss of breeding habitat. Although the species is known to use a variety of upland and wetland cover types, the majority of previous research on the species has been conducted in uplands. Although patterns of Goldenwinged Warbler habitat use within anthropogenic upland communities are well understood, such information within naturally occurring habitats are scant. We compared Golden-winged Warbler densities in natural shrub-wetlands and nearby upland timber harvest that conformed to species-specific habitat guidelines of the Poconos Region of Pennsylvania. We also identified vegetation characteristics of natural shrub-wetlands associated with high warbler abundance. Our analyses suggest that timber harvests and natural shrubwetlands of the Poconos supported similar densities of Golden-winged Warblers. N-mixture models suggested that natural shrubwetlands with low canopy cover and high densities of 1-2 m tall woody stems hosted more Golden-winged Warblers. Wetland complexes comprising more edge and those with more emergent wetland types supported the highest warbler abundances. This suggests that the species requires edges when it occurs within shrub-wetlands, a pattern not observed within our timber harvests, which were designed to have adequate tree cover throughout. Findings from our study combined with those from concurrent research evaluating Goldenwinged Warbler reproductive success suggests that timber harvests following Golden-winged Warbler habitat guidelines have similar capacity as natural shrub-wetlands to support breeding populations. A future effort to quantify the potential of different wetland types to host breeding Golden-winged Warblers is warranted. Such information used in combination with timber harvest planning will provide insight for landscape-level conservation that considers maintaining appropriate amounts of nesting habitat to sustain Goldenwinged Warblers in this region.Utilisation d'un système de référence naturel pour évaluer la restauration de l'habitat d'un passereau RÉSUMÉ. La Paruline à ailes dorées (Vermivora chrysoptera) est un passereau en danger qui niche dans les communautés végétales de début de succession de l'est de l'Amérique du Nord. Les efforts de conservation sur les aires de nidification sont maintenant prioritaires parce qu'on pense que les baisses de population sont imputables, en partie, à la perte d'habitat de nidification. Même si cette espèce est connue pour fréquenter une variété de milieux se trouvant en terrains secs ou humides, la majorité des recherches antérieures sur l'espèce ont été menées sur des hautes terres. Si on connait bien les tendances de l'utilisation de l'habitat par cette paruline dans les milieux d'origine anthropique se trouvant en terrain sec,...

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Section: Study Areamentioning

confidence: 99%

Section: Study Areamentioning

confidence: 99%

Using a natural reference system to evaluate songbird habitat restoration

McNeil¹,

Fiss²,

Wood³

et al. 2018

ACE

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“…Aspen, pine, oak, elm/ash/cottonwood, and spruce/fir are the dominant forest types in MN where nearly two-thirds of the growing stock are hardwoods, and the rest are softwoods. Mixed-oak, northern hardwoods and loblolly/pitch/shortleaf pine forest-type groups dominate the PANJ site where hardwoods are largely distributed to the northern areas and softwoods are concentrated primarily in the south [41,42]. Loblolly-shortleaf pine, oak-hickory and oak-gum-cypress are the dominant forest-type groups in SC where a large part of the forest is young and naturally regenerated [43].…”

Section: Study Areamentioning

confidence: 99%

Evaluating Site-Specific and Generic Spatial Models of Aboveground Forest Biomass Based on Landsat Time-Series and LiDAR Strip Samples in the Eastern USA

et al. 2017

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Large-area assessment of aboveground tree biomass (AGB) to inform regional or national forest monitoring programs can be efficiently carried out by combining remotely sensed data and field sample measurements through a generic statistical model, in contrast to site-specific models. We integrated forest inventory plot data with spatial predictors from Landsat time-series imagery and LiDAR strip samples at four sites across the eastern USA-Minnesota (MN), Maine (ME), Pennsylvania-New Jersey (PANJ) and South Carolina (SC)-in statistical modeling frameworks to analyze the performance of generic (all sites combined) versus site-specific models. The major objective was to evaluate the prediction accuracy of generic and site-specific models when applied to particular sites. Pixel-level polynomial model fitting was applied to the time-series of near-anniversary date Landsat variables to obtain projected metrics in the target year 2014 for which LiDAR strip samples were available. Two forms of models based on ordinary least-squares multiple linear regressions (MLR) and the random forest (RF) machine learning approach were developed for each site and for the pooled (i.e., generic) reference data frame. The models were evaluated using national forest inventory (NFI) data for the USA. We observed stronger fit statistics with the MLR than with RF for both the site-specific and the generic models. The proportions of variances explained (adjusted R 2 ) with the site-specific models were 0.86, 0.78, 0.82 and 0.92 for ME, MN, PANJ and SC, respectively while the generic model had adjusted R 2 = 0.85. A test of statistical equivalence of observed and predicted AGB for the NFI locations did not reveal equivalence with any of the models, possibly due to the different resolutions of the observed and predicted data. In contrast, predictions by the generic and site-specific models were equivalent. We conclude that a generic model provides accuracies comparable to the site-specific models for large-area AGB assessment across our study sites in the eastern USA.

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“…Historical estimates of forest land area are available from FIA reports (Alerich et Distribution of Forest Land n Nonforest n Forest n Open water Total forest land 16,572,981 16,739,199 16,916,190 16 . 1993;Considine and Powell 1980;Ferguson 1958Ferguson , 1968McCaskill et al 2013;McWilliams et al 2007) and Illick (1923).…”

Section: What We Foundmentioning

confidence: 99%

“…For example, the cycle of plots measured from 2009 through 2014 are collectively labeled the 2014 inventory and were used to produce this 2014 report. The 2004 inventory was the first annual inventory to include the complete cycle of annual inventory plots (McWilliams et al 2007) and the 2009 inventory was the first annual inventory to include a complete remeasurement of plots (McCaskill et al 2013). This report for 2014 encompasses the second complete remeasurement of plots.…”

Section: Understanding Fia Datamentioning

confidence: 99%

Pennsylvania forests 2014

McWilliams¹,

Widmann²,

Butler³

et al. 2017

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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. Additional information on land-use change, fragmentation, ownership, forest composition, structure and age distribution, carbon stocks, regeneration, invasive plants, insect pests, and wood products is also presented. Sets of supplemental tables are available online at https://doi.org/10.2737/NRS-RB-111 and contain: 1) tables that summarize quality assurance and 2) a core set of tabular estimates for a variety of forest resources. AcknowledgmentsThe authors would like to thank those who contributed to this assessment of Pennsylvania's forest resources. The dedicated and vital data collection staff who took the measurements upon which this analysis is based are:

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Pennsylvania's Forests, 2009

Cited by 12 publications

References 21 publications

Using a natural reference system to evaluate songbird habitat restoration

Using a natural reference system to evaluate songbird habitat restoration

Evaluating Site-Specific and Generic Spatial Models of Aboveground Forest Biomass Based on Landsat Time-Series and LiDAR Strip Samples in the Eastern USA

Pennsylvania forests 2014

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