A Critique of “Trees as a Local Climatic Wind Indicator”

Hennessey, Joseph P.

doi:10.1175/1520-0450(1980)019<1020:acoaal>2.0.co;2

Cited by 3 publications

(3 citation statements)

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“…Koeppl (1982) reports that the Griggs-Putnam index was further developed to scale deformation against wind characteristics including mean annual wind speed, mean growing season wind speed, mean nongrowing season wind speed, and percentage of winds from prevailing direction. The predictive reliability of these indices is not without critics (Hennessey 1980).…”

Section: Deformation Of Treesmentioning

confidence: 99%

Technical Note: Trees and Wind: Wind Scales and Speeds

Cullen¹

2002

isa

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Section: Deformation Of Treesmentioning

confidence: 99%

Technical Note: Trees and Wind: Wind Scales and Speeds

Cullen¹

2002

isa

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“…Certainly, morphological analyses of some elements of nature used as climate indicators of local winds is not new. For instance, tree inclination has been used to determine decadal variations in wind direction and intensity in places [19][20][21][22][23]. Beach-dune systems or snow drift can also be interpreted in aeolian terms, since the wind regime is one of the factors involved in their dynamics.…”

Section: Introductionmentioning

confidence: 99%

Air Photo Interpretation for Spatial Analysis of Heritage Agrarian Structures in Mediterranean Settings as Sea-Breezes Proxy-Data. Application to the Island of Mallorca

Garau

Grimalt‐Gelabert

2021

Remote Sensing

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Historical aerial photographs are valuable sources of climate information. In the present article, a reconstruction of the sea-breezes in Mallorca is described, based on wind-direction interpretation of threshing floors captured by the aerial photographs in 1956–1957 by the United States Army Map Service. These pre-industrial agricultural structures constitute a novel ethnographic proxy of cartographic wind direction at each site. The overall analysis of these directions has made it possible to recreate and model the spatial arrangement of the breezes in Mallorca, and to compare this recreation with that of the existing theoretical-experimental breeze models. The result is a relatively good fit between both recreations, which demonstrates the accuracy of the proposed method. This can be extrapolated to many other aerial-photographed Mediterranean regions prior to full mechanisation of the field.

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“…Historically, a lot of researches had focused on the storm effect on trees, even making trees as wind indicator, such as the well-known Fujita Tornado Scale and Saffir-Simpson Hurricane Scale, as well as the Griggs-Putnam and Yoshino tree deformation index to predict wind speed and wind direction in meteorological fields (Cullen, 2002;Hennessey, 1980;Wade et al, 1979;Robertson, 1987). Recently, most research works on storm damage to trees still use visual scale method (Okinaka et al, 1990;Shimizu et al, 2004;Zhu et al, 2001).…”

Section: Introductionmentioning

confidence: 99%

Quantitative Research on Vigor of Ginkgo Trees hit by Typhoon 0613 with Ground-based Digital Image Analysis

Wang

Yamamoto

Iwaya

2008

Journal of Natural Disaster Science

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The center of typhoon No.13 (Typhoon 0613) in 2006 passed through the Japan Sea and shaved the southwest corner of Yamaguchi Prefecture with characteristics of strong wind and less rainfall in Yamaguchi City. Many ginkgo (Ginkgo biloba L.) trees showed leaf discoloration and defoliation after its hit in Yamaguchi City, Japan. The crown of them can be clearly divided into green part and non-green part so that they were misrecognised as special ornamental trees. In order to quantitatively study this phenomenon, the indices of green coverage ratio of crown (GCRC), crown coverage (CC), vigor index (VI), and so on were used to analyze the vertical sideward profile of ginkgo trees by ground-based digital image analysis. They reflected leaf discoloration and defoliation of the crowns, and positively related to the distance from coastline (DC). Logistic functions between DC and these indices were obtained, with square correlative coefficients being 0.913, 0.622, and 0.882, respectively for GCRC, CC and VI. There is indication that ground-based digital image analysis can be an effective tool used in evaluating the vigor status of ginkgo trees hit by Typhoon 0613. In the paper, combined with analysis of meteorological data, the reason for damage to ginkgo trees was considered as water stress induced by Typhoon 0613. Based on multi-analysis of the research, there were significant differences of vigor status between coast and inland ginkgo trees after hit by Typhoon 0613.

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A Critique of “Trees as a Local Climatic Wind Indicator”

Cited by 3 publications

References 0 publications

Technical Note: Trees and Wind: Wind Scales and Speeds

Technical Note: Trees and Wind: Wind Scales and Speeds

Air Photo Interpretation for Spatial Analysis of Heritage Agrarian Structures in Mediterranean Settings as Sea-Breezes Proxy-Data. Application to the Island of Mallorca

Quantitative Research on Vigor of Ginkgo Trees hit by Typhoon 0613 with Ground-based Digital Image Analysis

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