Detecting prairie biodiversity with airborne remote sensing

Hamed Gholizadeh, John A. Gamon, Philip A. Townsend, Arthur I. Zygielbaum, Christopher J. Helzer, Gabriel Y. Hmimina, Rong Yu, Ryan M. Moore, Anna K. Schweiger, Jeannine M Cavender-Bares

Research output: Contribution to journalArticle

Abstract

This study assessed the application of airborne imaging spectroscopy to monitor α-diversity in restored grassland plots. The study site was located within the Central Platte River ecosystem, south of Wood River in Central Nebraska, USA, and consisted of two sets of plots (young and old). Exotic species had recently invaded the old plots, confounding the original study design, while the young plots did not have significant invasion by weeds, reflecting the original study design. We used spectral variation (i.e. spectral diversity, expressed as the coefficient of variation) as a proxy for α-diversity (expressed as species richness and Shannon index). Airborne data collected at two flight altitudes and two flight directions tested the validity of “spectral diversity-α-diversity” relationship at different sampling scales and flight directions. Our results showed a strong relationship between spectral diversity and α-diversity in young, non-invaded plots exhibiting strong differences in α-diversity. However, in the old, invaded plots, the spectral diversity-α-diversity relationship was non-significant. Factors likely contributing to this failure in the old plots included the spatial mismatch between airborne and field-based sampling, the convergence in diversity levels over time, and the unique reflectance signatures of the invasive species related to their different structural and phenological properties. Unlike previous airborne studies in manipulated experimental prairie plots, but similar to results in more natural settings, the strong spectral diversity-α-diversity relationship in the young plots remained even at the spatial resolution of 1 m, demonstrating the potential of airborne remote sensing to assess diversity patterns in prairie grasslands. These findings demonstrate the importance of experimental remote sensing in evaluating spectral diversity, and provide insight for the development of operational airborne methods to assess biodiversity.

LanguageEnglish (US)
Pages38-49
Number of pages12
JournalRemote Sensing of Environment
Volume221
DOIs
StatePublished - Feb 1 2019

Fingerprint

Biodiversity
prairies
prairie
remote sensing
Remote sensing
flight
Rivers
biodiversity
Sampling
grasslands
experimental design
Ecosystems
Wood
rivers
grassland
spatial mismatch
Spectroscopy
Imaging techniques
invasive species
reflectance

Keywords

  • Airborne remote sensing
  • Biodiversity
  • Invasion
  • Restored prairie
  • Spatial scale
  • Spectral diversity
  • α-Diversity

Cite this

Gholizadeh, H., Gamon, J. A., Townsend, P. A., Zygielbaum, A. I., Helzer, C. J., Hmimina, G. Y., ... Cavender-Bares, J. M. (2019). Detecting prairie biodiversity with airborne remote sensing. Remote Sensing of Environment, 221, 38-49. https://doi.org/10.1016/j.rse.2018.10.037

Detecting prairie biodiversity with airborne remote sensing. / Gholizadeh, Hamed; Gamon, John A.; Townsend, Philip A.; Zygielbaum, Arthur I.; Helzer, Christopher J.; Hmimina, Gabriel Y.; Yu, Rong; Moore, Ryan M.; Schweiger, Anna K.; Cavender-Bares, Jeannine M.

In: Remote Sensing of Environment, Vol. 221, 01.02.2019, p. 38-49.

Research output: Contribution to journalArticle

Gholizadeh, H, Gamon, JA, Townsend, PA, Zygielbaum, AI, Helzer, CJ, Hmimina, GY, Yu, R, Moore, RM, Schweiger, AK & Cavender-Bares, JM 2019, 'Detecting prairie biodiversity with airborne remote sensing' Remote Sensing of Environment, vol. 221, pp. 38-49. https://doi.org/10.1016/j.rse.2018.10.037
Gholizadeh H, Gamon JA, Townsend PA, Zygielbaum AI, Helzer CJ, Hmimina GY et al. Detecting prairie biodiversity with airborne remote sensing. Remote Sensing of Environment. 2019 Feb 1;221:38-49. https://doi.org/10.1016/j.rse.2018.10.037
Gholizadeh, Hamed ; Gamon, John A. ; Townsend, Philip A. ; Zygielbaum, Arthur I. ; Helzer, Christopher J. ; Hmimina, Gabriel Y. ; Yu, Rong ; Moore, Ryan M. ; Schweiger, Anna K. ; Cavender-Bares, Jeannine M. / Detecting prairie biodiversity with airborne remote sensing. In: Remote Sensing of Environment. 2019 ; Vol. 221. pp. 38-49.
@article{6c21dc4d255e499a9891efc2a0ca9e90,
title = "Detecting prairie biodiversity with airborne remote sensing",
abstract = "This study assessed the application of airborne imaging spectroscopy to monitor α-diversity in restored grassland plots. The study site was located within the Central Platte River ecosystem, south of Wood River in Central Nebraska, USA, and consisted of two sets of plots (young and old). Exotic species had recently invaded the old plots, confounding the original study design, while the young plots did not have significant invasion by weeds, reflecting the original study design. We used spectral variation (i.e. spectral diversity, expressed as the coefficient of variation) as a proxy for α-diversity (expressed as species richness and Shannon index). Airborne data collected at two flight altitudes and two flight directions tested the validity of “spectral diversity-α-diversity” relationship at different sampling scales and flight directions. Our results showed a strong relationship between spectral diversity and α-diversity in young, non-invaded plots exhibiting strong differences in α-diversity. However, in the old, invaded plots, the spectral diversity-α-diversity relationship was non-significant. Factors likely contributing to this failure in the old plots included the spatial mismatch between airborne and field-based sampling, the convergence in diversity levels over time, and the unique reflectance signatures of the invasive species related to their different structural and phenological properties. Unlike previous airborne studies in manipulated experimental prairie plots, but similar to results in more natural settings, the strong spectral diversity-α-diversity relationship in the young plots remained even at the spatial resolution of 1 m, demonstrating the potential of airborne remote sensing to assess diversity patterns in prairie grasslands. These findings demonstrate the importance of experimental remote sensing in evaluating spectral diversity, and provide insight for the development of operational airborne methods to assess biodiversity.",
keywords = "Airborne remote sensing, Biodiversity, Invasion, Restored prairie, Spatial scale, Spectral diversity, α-Diversity",
author = "Hamed Gholizadeh and Gamon, {John A.} and Townsend, {Philip A.} and Zygielbaum, {Arthur I.} and Helzer, {Christopher J.} and Hmimina, {Gabriel Y.} and Rong Yu and Moore, {Ryan M.} and Schweiger, {Anna K.} and Cavender-Bares, {Jeannine M}",
year = "2019",
month = "2",
day = "1",
doi = "10.1016/j.rse.2018.10.037",
language = "English (US)",
volume = "221",
pages = "38--49",
journal = "Remote Sensing of Environment",
issn = "0034-4257",
publisher = "Elsevier",

}

TY - JOUR

T1 - Detecting prairie biodiversity with airborne remote sensing

AU - Gholizadeh, Hamed

AU - Gamon, John A.

AU - Townsend, Philip A.

AU - Zygielbaum, Arthur I.

AU - Helzer, Christopher J.

AU - Hmimina, Gabriel Y.

AU - Yu, Rong

AU - Moore, Ryan M.

AU - Schweiger, Anna K.

AU - Cavender-Bares, Jeannine M

PY - 2019/2/1

Y1 - 2019/2/1

N2 - This study assessed the application of airborne imaging spectroscopy to monitor α-diversity in restored grassland plots. The study site was located within the Central Platte River ecosystem, south of Wood River in Central Nebraska, USA, and consisted of two sets of plots (young and old). Exotic species had recently invaded the old plots, confounding the original study design, while the young plots did not have significant invasion by weeds, reflecting the original study design. We used spectral variation (i.e. spectral diversity, expressed as the coefficient of variation) as a proxy for α-diversity (expressed as species richness and Shannon index). Airborne data collected at two flight altitudes and two flight directions tested the validity of “spectral diversity-α-diversity” relationship at different sampling scales and flight directions. Our results showed a strong relationship between spectral diversity and α-diversity in young, non-invaded plots exhibiting strong differences in α-diversity. However, in the old, invaded plots, the spectral diversity-α-diversity relationship was non-significant. Factors likely contributing to this failure in the old plots included the spatial mismatch between airborne and field-based sampling, the convergence in diversity levels over time, and the unique reflectance signatures of the invasive species related to their different structural and phenological properties. Unlike previous airborne studies in manipulated experimental prairie plots, but similar to results in more natural settings, the strong spectral diversity-α-diversity relationship in the young plots remained even at the spatial resolution of 1 m, demonstrating the potential of airborne remote sensing to assess diversity patterns in prairie grasslands. These findings demonstrate the importance of experimental remote sensing in evaluating spectral diversity, and provide insight for the development of operational airborne methods to assess biodiversity.

AB - This study assessed the application of airborne imaging spectroscopy to monitor α-diversity in restored grassland plots. The study site was located within the Central Platte River ecosystem, south of Wood River in Central Nebraska, USA, and consisted of two sets of plots (young and old). Exotic species had recently invaded the old plots, confounding the original study design, while the young plots did not have significant invasion by weeds, reflecting the original study design. We used spectral variation (i.e. spectral diversity, expressed as the coefficient of variation) as a proxy for α-diversity (expressed as species richness and Shannon index). Airborne data collected at two flight altitudes and two flight directions tested the validity of “spectral diversity-α-diversity” relationship at different sampling scales and flight directions. Our results showed a strong relationship between spectral diversity and α-diversity in young, non-invaded plots exhibiting strong differences in α-diversity. However, in the old, invaded plots, the spectral diversity-α-diversity relationship was non-significant. Factors likely contributing to this failure in the old plots included the spatial mismatch between airborne and field-based sampling, the convergence in diversity levels over time, and the unique reflectance signatures of the invasive species related to their different structural and phenological properties. Unlike previous airborne studies in manipulated experimental prairie plots, but similar to results in more natural settings, the strong spectral diversity-α-diversity relationship in the young plots remained even at the spatial resolution of 1 m, demonstrating the potential of airborne remote sensing to assess diversity patterns in prairie grasslands. These findings demonstrate the importance of experimental remote sensing in evaluating spectral diversity, and provide insight for the development of operational airborne methods to assess biodiversity.

KW - Airborne remote sensing

KW - Biodiversity

KW - Invasion

KW - Restored prairie

KW - Spatial scale

KW - Spectral diversity

KW - α-Diversity

UR - http://www.scopus.com/inward/record.url?scp=85056247487&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85056247487&partnerID=8YFLogxK

U2 - 10.1016/j.rse.2018.10.037

DO - 10.1016/j.rse.2018.10.037

M3 - Article

VL - 221

SP - 38

EP - 49

JO - Remote Sensing of Environment

T2 - Remote Sensing of Environment

JF - Remote Sensing of Environment

SN - 0034-4257

ER -