Paper · 2005 · Diversity and Distributions

The ones we left behind: Comparing plot sampling and floristic habitat sampling for estimating bryophyte diversity

Steven G. Newmaster; René J. Belland; André Arsenault; et al.

7
claims
11
verbatim quotes
132
citations
2
research areas
✓
Open access

Abstract

ABSTRACT An efficient method for estimating bryophyte diversity in forest stands must consider more than just the dominant forest mesohabitat. We compared two methodologies commonly used for estimating diversity in forest ecosystems. Floristic habitat sampling (FHS) utilizes stratification of all forest mesohabitats, which includes the natural diversity of microhabitats found within and stratifies a mosaic of mesohabitats (e.g. forest, streams, seeps, and cliffs) and microhabitats (e.g. rocks logs, etc.) that are often not considered in forest research projects that use plot sampling to estimate species diversity. In Canadian cedar hemlock forest, FHS methodology recorded more than twice as many bryophyte species as plot sampling (PS). A comparison of the dominant forest mesohabitat concluded that plot sampling was not as efficient as FHS in estimating bryophyte diversity and that plot sampling can result in different interpretations of species diversity. Rare species ordination of stands sampled using FHS showed strong clustering of sites with respect to biogeoclimatic zones and age since the last major disturbance (fire or logging) as compared with rare species ordinations from PS data, which showed no delineation of stands along temporal gradients. Plot sampling has many useful applications in ecology, but floristic habitat sampling is more efficient for quantifying overall bryophyte diversity. FHS provides an excellent way to record a comprehensive list of species.

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Claims 7

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Floristic habitat sampling recorded more than twice as many bryophyte species as plot sampling in Canadian cedar hemlock forest.

Taxon
bryophytee0
Treatment
FHS methodologye0
Outcome
bryophyte speciese0
Direction
more than twice as manye0
Value
more than twicee0
Comparator
plot sampling (PS)e0
Setting
Canadian cedar hemlock foreste0

Verbatim

e0

“In Canadian cedar hemlock forest, FHS methodology recorded more than twice as many bryophyte species as plot sampling (PS)”

✓ located verbatim in the source · abstract, characters 622–744 · show in text ↑
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Plot sampling was less efficient than floristic habitat sampling for bryophyte diversity in the dominant forest mesohabitat.

Taxon
bryophytee0
Outcome
estimating bryophyte diversitye0
Direction
not as efficiente0
Comparator
FHSe0

Verbatim

e0

“plot sampling was not as efficient as FHS in estimating bryophyte diversity”

✓ located verbatim in the source · abstract, characters 809–884 · show in text ↑
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Plot sampling could yield different interpretations of species diversity.

Taxon
bryophytet0
Outcome
different interpretations of species diversitye0
Comparator
plot samplinge0

Verbatim

e0

“plot sampling can result in different interpretations of species diversity”

✓ located verbatim in the source · abstract, characters 894–968 · show in text ↑
t0

“bryophyte”

✓ located verbatim in the source · title, characters 95–104 · show in text ↑
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

FHS rare-species ordination strongly clustered sites by biogeoclimatic zones and time since disturbance.

Taxon
bryophytet0
Outcome
strong clustering of sitese0
Qualifier
age since the last major disturbance (fire or logging)e0
Comparator
FHSe0
Setting
biogeoclimatic zonese0

Verbatim

e0

“Rare species ordination of stands sampled using FHS showed strong clustering of sites with respect to biogeoclimatic zones and age since the last major disturbance (fire or logging)”

✓ located verbatim in the source · abstract, characters 970–1151 · show in text ↑
t0

“bryophyte”

✓ located verbatim in the source · title, characters 95–104 · show in text ↑
Method / resourceobservedoriginal resultnegativemeasured

Claim · model-written summary

Plot-sampling rare-species ordination showed no stand delineation along temporal gradients.

Taxon
bryophytet0
Outcome
no delineation of stands along temporal gradientse0
Comparator
PS datae0

Verbatim

e0

“rare species ordinations from PS data, which showed no delineation of stands along temporal gradients”

✓ located verbatim in the source · abstract, characters 1169–1270 · show in text ↑
t0

“bryophyte”

✓ located verbatim in the source · title, characters 95–104 · show in text ↑
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Floristic habitat sampling was more efficient for quantifying total bryophyte diversity.

Taxon
bryophytee0
Outcome
quantifying overall bryophyte diversitye0
Direction
more efficiente0
Comparator
floristic habitat samplinge0

Verbatim

e0

“floristic habitat sampling is more efficient for quantifying overall bryophyte diversity”

✓ located verbatim in the source · abstract, characters 1331–1419 · show in text ↑
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

FHS provided a way to record a comprehensive species list.

Taxon
bryophytet0
Outcome
record a comprehensive list of speciese0
Comparator
FHSe0

Verbatim

e0

“FHS provides an excellent way to record a comprehensive list of species”

✓ located verbatim in the source · abstract, characters 1421–1492 · show in text ↑
t0

“bryophyte”

✓ located verbatim in the source · title, characters 95–104 · show in text ↑