Assessing methods for comparing species diversity from disparate data sources: the case of urban and peri-urban forests

Christina L. Staudhammer, Francisco J. Escobedo, Amy Blood

Resultado de la investigación: Contribución a RevistaArtículo

Resumen

Multi-scale forest inventory and monitoring data are increasingly being used in studies assessing forest diversity, structure, disturbance, and carbon dynamics. Also, local-level urban forest inventories are providing plot data and protocols to study tree diversity and ecosystem services in urban forests worldwide. But, differences in the sampling methods underlying these disparate protocols and data sources is a non-trivial concern in formulating comparative analyses. We assess commonly used methods for comparing tree diversity in peri-urban and urban forests when available data have different sample sizes, plot sizes, and sampling intensities. We present methods for appropriately evaluating species richness, as well as methods for comparing species distributions via community data matrices. Using permanent plot data from the southeastern United States, we present a case study comparing urban and peri-urban forests along a north–south gradient, and assessing species richness and the ecological homogenization hypothesis. Our findings indicate that comparisons of tree species richness among communities, or forest types, are often inconclusive since commonly used sample sizes do not provide precise estimates of the number of species present. While the ecological homogenization hypotheses can be tested under conditions of unequal sampling effort, we suggest robust methods such as PERMANOVA and the Raup-Crick dissimilarity index. A framework for selecting appropriate methods is also discussed. As forests are increasingly being altered by anthropogenic drivers, future studies using disparate data sources must account for differences in measurements and sampling protocols in order to produce results that are both statistically defensible and useful for science-based management.

Idioma originalEnglish (US)
Número de artículoe02450
PublicaciónEcosphere
Volumen9
N.º10
DOI
EstadoPublished - oct 1 2018
Publicado de forma externa

All Science Journal Classification (ASJC) codes

  • Ecology, Evolution, Behavior and Systematics
  • Ecology

Citar esto

Staudhammer, Christina L. ; Escobedo, Francisco J. ; Blood, Amy. / Assessing methods for comparing species diversity from disparate data sources : the case of urban and peri-urban forests. En: Ecosphere. 2018 ; Vol. 9, N.º 10.
@article{d5e8ae0c41ca48e682757e22937c44a9,
title = "Assessing methods for comparing species diversity from disparate data sources: the case of urban and peri-urban forests",
abstract = "Multi-scale forest inventory and monitoring data are increasingly being used in studies assessing forest diversity, structure, disturbance, and carbon dynamics. Also, local-level urban forest inventories are providing plot data and protocols to study tree diversity and ecosystem services in urban forests worldwide. But, differences in the sampling methods underlying these disparate protocols and data sources is a non-trivial concern in formulating comparative analyses. We assess commonly used methods for comparing tree diversity in peri-urban and urban forests when available data have different sample sizes, plot sizes, and sampling intensities. We present methods for appropriately evaluating species richness, as well as methods for comparing species distributions via community data matrices. Using permanent plot data from the southeastern United States, we present a case study comparing urban and peri-urban forests along a north–south gradient, and assessing species richness and the ecological homogenization hypothesis. Our findings indicate that comparisons of tree species richness among communities, or forest types, are often inconclusive since commonly used sample sizes do not provide precise estimates of the number of species present. While the ecological homogenization hypotheses can be tested under conditions of unequal sampling effort, we suggest robust methods such as PERMANOVA and the Raup-Crick dissimilarity index. A framework for selecting appropriate methods is also discussed. As forests are increasingly being altered by anthropogenic drivers, future studies using disparate data sources must account for differences in measurements and sampling protocols in order to produce results that are both statistically defensible and useful for science-based management.",
author = "Staudhammer, {Christina L.} and Escobedo, {Francisco J.} and Amy Blood",
year = "2018",
month = "10",
day = "1",
doi = "10.1002/ecs2.2450",
language = "English (US)",
volume = "9",
journal = "Ecosphere",
issn = "2150-8925",
publisher = "Ecological Society of America",
number = "10",

}

Assessing methods for comparing species diversity from disparate data sources : the case of urban and peri-urban forests. / Staudhammer, Christina L.; Escobedo, Francisco J.; Blood, Amy.

En: Ecosphere, Vol. 9, N.º 10, e02450, 01.10.2018.

Resultado de la investigación: Contribución a RevistaArtículo

TY - JOUR

T1 - Assessing methods for comparing species diversity from disparate data sources

T2 - the case of urban and peri-urban forests

AU - Staudhammer, Christina L.

AU - Escobedo, Francisco J.

AU - Blood, Amy

PY - 2018/10/1

Y1 - 2018/10/1

N2 - Multi-scale forest inventory and monitoring data are increasingly being used in studies assessing forest diversity, structure, disturbance, and carbon dynamics. Also, local-level urban forest inventories are providing plot data and protocols to study tree diversity and ecosystem services in urban forests worldwide. But, differences in the sampling methods underlying these disparate protocols and data sources is a non-trivial concern in formulating comparative analyses. We assess commonly used methods for comparing tree diversity in peri-urban and urban forests when available data have different sample sizes, plot sizes, and sampling intensities. We present methods for appropriately evaluating species richness, as well as methods for comparing species distributions via community data matrices. Using permanent plot data from the southeastern United States, we present a case study comparing urban and peri-urban forests along a north–south gradient, and assessing species richness and the ecological homogenization hypothesis. Our findings indicate that comparisons of tree species richness among communities, or forest types, are often inconclusive since commonly used sample sizes do not provide precise estimates of the number of species present. While the ecological homogenization hypotheses can be tested under conditions of unequal sampling effort, we suggest robust methods such as PERMANOVA and the Raup-Crick dissimilarity index. A framework for selecting appropriate methods is also discussed. As forests are increasingly being altered by anthropogenic drivers, future studies using disparate data sources must account for differences in measurements and sampling protocols in order to produce results that are both statistically defensible and useful for science-based management.

AB - Multi-scale forest inventory and monitoring data are increasingly being used in studies assessing forest diversity, structure, disturbance, and carbon dynamics. Also, local-level urban forest inventories are providing plot data and protocols to study tree diversity and ecosystem services in urban forests worldwide. But, differences in the sampling methods underlying these disparate protocols and data sources is a non-trivial concern in formulating comparative analyses. We assess commonly used methods for comparing tree diversity in peri-urban and urban forests when available data have different sample sizes, plot sizes, and sampling intensities. We present methods for appropriately evaluating species richness, as well as methods for comparing species distributions via community data matrices. Using permanent plot data from the southeastern United States, we present a case study comparing urban and peri-urban forests along a north–south gradient, and assessing species richness and the ecological homogenization hypothesis. Our findings indicate that comparisons of tree species richness among communities, or forest types, are often inconclusive since commonly used sample sizes do not provide precise estimates of the number of species present. While the ecological homogenization hypotheses can be tested under conditions of unequal sampling effort, we suggest robust methods such as PERMANOVA and the Raup-Crick dissimilarity index. A framework for selecting appropriate methods is also discussed. As forests are increasingly being altered by anthropogenic drivers, future studies using disparate data sources must account for differences in measurements and sampling protocols in order to produce results that are both statistically defensible and useful for science-based management.

UR - http://www.scopus.com/inward/record.url?scp=85055641338&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85055641338&partnerID=8YFLogxK

U2 - 10.1002/ecs2.2450

DO - 10.1002/ecs2.2450

M3 - Article

AN - SCOPUS:85055641338

VL - 9

JO - Ecosphere

JF - Ecosphere

SN - 2150-8925

IS - 10

M1 - e02450

ER -