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Cited by 384

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Patterns of Forest Damage Resulting from Catastrophic Wind in Central New England, USA

Foster, David R., Boose, Emery R.·1992·The Journal of Ecology

Abstract

The effect of catastrophic winds on a forested landscape in central Massachusetts was examined to investigate the factors controlling the geographic pattern of damage. The study area, Tom Swamp Tract, Harvard Forest, comprises a valley and adjoining hillslopes supporting second-growth hardwood and conifer stands. Much of the study used records and maps that were analysed cartographically with a geographic information system (GIS). Areally, forest damage was distributed fairly evenly among different damage classes ranging from no damage to more than 75% of stems broken or uprooted. However, there was a negative exponential size distribution of contiguous areas of the same damage intensity, with a preponderance less than 2 ha; these areas ranged from less than 0.04 ha to more than 35 ha; hurricane damage exhibited a continuum ranging from minor damage of individual trees to extensive blow-down of broad areas of forest (...)

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Crossref · 10.2307/2261065

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Metadata

Authors
Foster, D. R., & Boose, E. R.
Venue
The Journal of Ecology
Publisher
JSTOR
Published
1992-03
Volume
80
Issue
1
Pages
79
ISSN
0022-0477 (ISSN-L)
OpenAlex
W1982185224
Cited by
384
References
1
FWCI
14.18
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Patterns of Forest Damage Resulting from Catastrophic Wind in Central New England, USA. https://app.cochat.ai/papers/10.2307/2261065
The paper
Foster, D. R., & Boose, E. R. (1992). Patterns of Forest Damage Resulting from Catastrophic Wind in Central New England, USA. The Journal of Ecology. https://doi.org/10.2307/2261065

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.