2019
DOI: 10.1007/s11676-019-01048-y
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Allometric relationships between primary size measures and sapwood area for six common tree species in snow-dependent ecosystems in the Southwest United States

Abstract: diameter (CD). Considering the importance of SA in scaling transpiration, the primary objective of this study was therefore to establish six species-specific (aspen, maple, white fir, ponderosa pine, Douglas fir, Englemann spruce) allometric relationships between SA and three primary size measures (DBH, CD, or H) across two high-elevation, snow-dependent, semiarid ecosystems in New Mexico and Arizona. Based on multiple statistical criteria (coefficient of determination, index of agreement, Nash-Sutcliffe effic… Show more

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Cited by 7 publications
(6 citation statements)
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“…This finding is consistent with those of previous studies for other tree species (Alsheimer et al, 1998; Dunn & Connor, 1993; Ewers et al, 2011; Kumagai et al, 2007; Tsuruta et al, 2019; Vertessy et al, 2001; Zimmermann et al, 2000), which suggests that cross‐site DBH– Q tref relationships can be determined for other tree species. The DBH– A S relationship in this study was comparable with A S data collected from different ponderosa pine forests in Oregon (Berner & Law, 2015; Ryan et al, 2000) as well as DBH– A S relationships observed in different forests under different regions and climate conditions (e.g., New Mexico and Arizona; Mitra et al, 2019) (Figure S1). This result suggests that climatic conditions have small effects on the DBH– A S relationship (Meinzer et al, 2005; Tsuruta et al, 2011), such that the equation may be applicable in other ponderosa pine forests under different climate conditions.…”
Section: Discussionsupporting
confidence: 88%
“…This finding is consistent with those of previous studies for other tree species (Alsheimer et al, 1998; Dunn & Connor, 1993; Ewers et al, 2011; Kumagai et al, 2007; Tsuruta et al, 2019; Vertessy et al, 2001; Zimmermann et al, 2000), which suggests that cross‐site DBH– Q tref relationships can be determined for other tree species. The DBH– A S relationship in this study was comparable with A S data collected from different ponderosa pine forests in Oregon (Berner & Law, 2015; Ryan et al, 2000) as well as DBH– A S relationships observed in different forests under different regions and climate conditions (e.g., New Mexico and Arizona; Mitra et al, 2019) (Figure S1). This result suggests that climatic conditions have small effects on the DBH– A S relationship (Meinzer et al, 2005; Tsuruta et al, 2011), such that the equation may be applicable in other ponderosa pine forests under different climate conditions.…”
Section: Discussionsupporting
confidence: 88%
“…Based on the overall strong relationship between stem diameter and sapwood area, we were also able to establish strong relationships between crown area and sapwood area in all six species. This result is meaningful because it supplies further support for the potential of estimating sapwood area based on aerial imagery (Mitra et al, 2020).…”
Section: Resultssupporting
confidence: 57%
“…Particularly, crown properties can later be detected and quantified at landscape scale using aerial imagery, light detection and ranging (LiDAR). Although previous attempts to establish allometric relationships between sapwood area and crown dimensions, such as crown area or crown diameter, have found that they can in fact be strong (Fregoso, 2002;Mitra et al, 2020), stem diameter still achieved the most accurate values of sapwood area. A convenient model for explaining characteristic allometric relations of different species between specific size measures, such as stem diameter, and traits, such as sapwood area, is the West-Brown-Enquist (WBE) model of West et al (1999, hereafter WBE).…”
Section: Introductionmentioning
confidence: 92%
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“…It was found that the contribution of aerosols to the formation of sedimentary material is close to the contribution of river suspension outside the zone of the river-sea geochemical barrier [Lisitsyn, 2014]. The sea surface is also a powerful source of aerosols generated by wave breaking and high winds [Massel, 2007;Stokes et al, 2013;Vasilenko et al, 1985].So, this zone is an active one in the interchange of sedimentary material between air and water. The surface layer of the ocean, as the most dynamic part of it, responds faster to changing environmental conditions.…”
Section: Introductionmentioning
confidence: 99%