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Spectral heterogeneity of QuickBird satellite data is related to fine-scale plant species spatial turnover in semi-natural grasslands

Hall, Karin LU ; Reitalu, Triin LU ; Sykes, Martin LU and Prentice, Honor C LU (2012) In Applied Vegetation Science 15(1). p.145-157
Abstract
Abstract

Question: Can satellite data be related to fine-scale species diversity and does the

integrated use of field and satellite data provide information that can be used in

the estimation of fine-scale species diversity in semi-natural grassland sites?

Location: The Baltic Island of Oland (Sweden).

Methods: Field work including the on-site description of 62 semi-natural

grassland sites (represented by three 0.5m0.5m plots per site) was performed

to record response variables (total species richness, mean species

richness and species spatial turnover) and field-measured explanatory variables

(field-layer height and distance between plots). Within each site,... (More)
Abstract

Question: Can satellite data be related to fine-scale species diversity and does the

integrated use of field and satellite data provide information that can be used in

the estimation of fine-scale species diversity in semi-natural grassland sites?

Location: The Baltic Island of Oland (Sweden).

Methods: Field work including the on-site description of 62 semi-natural

grassland sites (represented by three 0.5m0.5m plots per site) was performed

to record response variables (total species richness, mean species

richness and species spatial turnover) and field-measured explanatory variables

(field-layer height and distance between plots). Within each site, QuickBird

satellite data were extracted from a standardized sample area by associating

each field plot with a 33 pixel window (1 pixel = 2.4m2.4 m). Explanatory

variables (the normalized difference vegetation index and spectral heterogeneity)

were generated from the satellite data. Correlation tests, univariate

regressions, variance partitioning and multivariate linear regressions were used

to analyse the associations between response and explanatory variables.

Results: There was a significant association between the spectral heterogeneity

of the near-infrared band and the field-measured spatial turnover of species.

The most parsimonious explanatory model for each response variable included

both field-measured and satellite-generated explanatory variables. The models

explained 30–35% of the variation in species diversity (total richness 36%,

mean richness 31%, species turnover 33%).

Conclusions: High spatial resolution satellite data are capable of supplying

fine-scale habitat information that is relevant for the monitoring and conservation

management of fine-scale plant diversity in semi-natural grasslands. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Remote sensing, High-spatial resolution, Broadband, Small-scale, Species richness.
in
Applied Vegetation Science
volume
15
issue
1
pages
145 - 157
publisher
Opulus Press
external identifiers
  • wos:000299207600015
  • scopus:84855989372
ISSN
1402-2001
DOI
10.1111/j.1654-109X.2011.01143.x
project
BECC
language
English
LU publication?
yes
id
ed8387d7-9e7f-4100-bf9d-469d9e289beb (old id 2302583)
date added to LUP
2012-06-27 15:28:30
date last changed
2017-11-19 03:18:58
@article{ed8387d7-9e7f-4100-bf9d-469d9e289beb,
  abstract     = {Abstract<br/><br>
Question: Can satellite data be related to fine-scale species diversity and does the<br/><br>
integrated use of field and satellite data provide information that can be used in<br/><br>
the estimation of fine-scale species diversity in semi-natural grassland sites?<br/><br>
Location: The Baltic Island of Oland (Sweden).<br/><br>
Methods: Field work including the on-site description of 62 semi-natural<br/><br>
grassland sites (represented by three 0.5m0.5m plots per site) was performed<br/><br>
to record response variables (total species richness, mean species<br/><br>
richness and species spatial turnover) and field-measured explanatory variables<br/><br>
(field-layer height and distance between plots). Within each site, QuickBird<br/><br>
satellite data were extracted from a standardized sample area by associating<br/><br>
each field plot with a 33 pixel window (1 pixel = 2.4m2.4 m). Explanatory<br/><br>
variables (the normalized difference vegetation index and spectral heterogeneity)<br/><br>
were generated from the satellite data. Correlation tests, univariate<br/><br>
regressions, variance partitioning and multivariate linear regressions were used<br/><br>
to analyse the associations between response and explanatory variables.<br/><br>
Results: There was a significant association between the spectral heterogeneity<br/><br>
of the near-infrared band and the field-measured spatial turnover of species.<br/><br>
The most parsimonious explanatory model for each response variable included<br/><br>
both field-measured and satellite-generated explanatory variables. The models<br/><br>
explained 30–35% of the variation in species diversity (total richness 36%,<br/><br>
mean richness 31%, species turnover 33%).<br/><br>
Conclusions: High spatial resolution satellite data are capable of supplying<br/><br>
fine-scale habitat information that is relevant for the monitoring and conservation<br/><br>
management of fine-scale plant diversity in semi-natural grasslands.},
  author       = {Hall, Karin and Reitalu, Triin and Sykes, Martin and Prentice, Honor C},
  issn         = {1402-2001},
  keyword      = {Remote sensing,High-spatial resolution,Broadband,Small-scale,Species richness.},
  language     = {eng},
  number       = {1},
  pages        = {145--157},
  publisher    = {Opulus Press},
  series       = {Applied Vegetation Science},
  title        = {Spectral heterogeneity of QuickBird satellite data is related to fine-scale plant species spatial turnover in semi-natural grasslands},
  url          = {http://dx.doi.org/10.1111/j.1654-109X.2011.01143.x},
  volume       = {15},
  year         = {2012},
}