Resolving uncertainties in predictive equations for urban tree crown characteristics of the southeastern United States: Local and general equations for common and widespread species: Local and general equations for common and widespread species

A. Blood, G. Starr, F. J. Escobedo, A. Chappelka, P. E. Wiseman, Rama Sivakumar, Christina L. Staudhammer

Resultado de la investigación: Contribución a RevistaArtículo

4 Citas (Scopus)

Resumen

La investigación y la ordenación de los bosques urbanos requieren mejores métodos para cuantificar la estructura de los ecosistemas
y la función. Las ecuaciones regionales para la anchura y la altura de las copas de los árboles urbanos pueden, por lo tanto, mejorar las predicciones
de la estructura arbórea urbana. Utilizando un gran conjunto de datos regionales con 12 ubicaciones en el sureste de los Estados Unidos,
desarrollamos ecuaciones basadas en diámetros para 97 especies de árboles urbanos. Mientras que en la edición anterior de urban
han sido desarrolladas casi exclusivamente con una sola ubicación en terrenos públicos o comerciales, nuestros
Los datos incluían tanto los usos públicos como los privados de la tierra. Para 5 especies de árboles urbanos comunes y extendidos (Acer
rubrum, Cornus florida, Pinus taeda, Quercus nigra y Lagerstroemia spp.), también evaluamos la inclusión.
de variables adicionales como la exposición a la luz de la corona, la cobertura del suelo, el área basal y la ubicación. En general, altura
y los modelos de anchura de copa se mejoraron al incluir predictores adicionales, aunque la competencia
y los efectos de la ubicación variaron según la especie. La ciudad de estudio fue un predictor significativo de la altura de los árboles en todas las especies
excepto C. florida, y un predictor significativo de la anchura de la copa para todas las especies excepto C. florida y Q. nigra. Este
indica que la variación antropogénica entre las ciudades puede dar lugar a diferencias significativas en
tanto la forma como la estructura del árbol y que el desarrollo futuro del modelo debe utilizar datos que abarquen múltiples
ciudades. Nuestras ecuaciones predictivas de las características de las copas de los árboles urbanos proporcionan un método mejorado
para la planificación, gestión y estimación de la prestación de servicios de los ecosistemas para mejorar la calidad de vida
en las ciudades.
Idioma originalEnglish (US)
Páginas (desde-hasta)282-294
Número de páginas13
PublicaciónUrban Forestry and Urban Greening
Volumen20
DOI
EstadoPublished - dic 1 2016

Huella dactilar

Southeastern United States
tree crown
Cornus florida
uncertainty
Quercus nigra
Lagerstroemia
private lands
public lands
Acer rubrum
Pinus taeda
quality of life
land cover
private land
ecosystem structure
ecosystem services
basal area
ecosystem function
ecosystem service
planning
land use

All Science Journal Classification (ASJC) codes

  • Forestry
  • Ecology
  • Soil Science

Citar esto

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title = "Resolving uncertainties in predictive equations for urban tree crown characteristics of the southeastern United States: Local and general equations for common and widespread species: Local and general equations for common and widespread species",
abstract = "Urban forest research and management requires improved methods for quantifying ecosystem structureand function. Regional equations for urban tree crown width and height can accordingly improve predictionsof urban tree structure. Using a large regional dataset with 12 locations in the southeastern US,we developed diameter-based equations for 97 urban tree species. Whereas previously published urbanequations have almost exclusively been developed with one location on public or commercial land, ourdata included both public and private land uses. For 5 widespread, common urban tree species (Acerrubrum, Cornus florida, Pinus taeda, Quercus nigra and Lagerstroemia spp.), we also assessed the inclusionof additional variables such as crown light exposure, land cover, basal area, and location. Overall, heightand crown width models were improved when including additional predictors, although competitionand location effects varied by species. Study city was a significant predictor of tree height in all speciesexcept C. florida, and a significant predictor of crown width for all species except C. florida and Q. nigra. Thisindicates that anthropogenically-influenced variation among cities can lead to significant differences inboth tree form and structure and that future model development should utilize data encompassing multiplecities. Our predictive equations for urban tree crown characteristics provide an improved methodfor planning, management, and estimating the provision of ecosystem services to improve quality of lifein cities.",
author = "A. Blood and G. Starr and Escobedo, {F. J.} and A. Chappelka and Wiseman, {P. E.} and Rama Sivakumar and Staudhammer, {Christina L.}",
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Resolving uncertainties in predictive equations for urban tree crown characteristics of the southeastern United States: Local and general equations for common and widespread species : Local and general equations for common and widespread species. / Blood, A.; Starr, G.; Escobedo, F. J.; Chappelka, A.; Wiseman, P. E.; Sivakumar, Rama; Staudhammer, Christina L.

En: Urban Forestry and Urban Greening, Vol. 20, 01.12.2016, p. 282-294.

Resultado de la investigación: Contribución a RevistaArtículo

TY - JOUR

T1 - Resolving uncertainties in predictive equations for urban tree crown characteristics of the southeastern United States: Local and general equations for common and widespread species

T2 - Local and general equations for common and widespread species

AU - Blood, A.

AU - Starr, G.

AU - Escobedo, F. J.

AU - Chappelka, A.

AU - Wiseman, P. E.

AU - Sivakumar, Rama

AU - Staudhammer, Christina L.

PY - 2016/12/1

Y1 - 2016/12/1

N2 - Urban forest research and management requires improved methods for quantifying ecosystem structureand function. Regional equations for urban tree crown width and height can accordingly improve predictionsof urban tree structure. Using a large regional dataset with 12 locations in the southeastern US,we developed diameter-based equations for 97 urban tree species. Whereas previously published urbanequations have almost exclusively been developed with one location on public or commercial land, ourdata included both public and private land uses. For 5 widespread, common urban tree species (Acerrubrum, Cornus florida, Pinus taeda, Quercus nigra and Lagerstroemia spp.), we also assessed the inclusionof additional variables such as crown light exposure, land cover, basal area, and location. Overall, heightand crown width models were improved when including additional predictors, although competitionand location effects varied by species. Study city was a significant predictor of tree height in all speciesexcept C. florida, and a significant predictor of crown width for all species except C. florida and Q. nigra. Thisindicates that anthropogenically-influenced variation among cities can lead to significant differences inboth tree form and structure and that future model development should utilize data encompassing multiplecities. Our predictive equations for urban tree crown characteristics provide an improved methodfor planning, management, and estimating the provision of ecosystem services to improve quality of lifein cities.

AB - Urban forest research and management requires improved methods for quantifying ecosystem structureand function. Regional equations for urban tree crown width and height can accordingly improve predictionsof urban tree structure. Using a large regional dataset with 12 locations in the southeastern US,we developed diameter-based equations for 97 urban tree species. Whereas previously published urbanequations have almost exclusively been developed with one location on public or commercial land, ourdata included both public and private land uses. For 5 widespread, common urban tree species (Acerrubrum, Cornus florida, Pinus taeda, Quercus nigra and Lagerstroemia spp.), we also assessed the inclusionof additional variables such as crown light exposure, land cover, basal area, and location. Overall, heightand crown width models were improved when including additional predictors, although competitionand location effects varied by species. Study city was a significant predictor of tree height in all speciesexcept C. florida, and a significant predictor of crown width for all species except C. florida and Q. nigra. Thisindicates that anthropogenically-influenced variation among cities can lead to significant differences inboth tree form and structure and that future model development should utilize data encompassing multiplecities. Our predictive equations for urban tree crown characteristics provide an improved methodfor planning, management, and estimating the provision of ecosystem services to improve quality of lifein cities.

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