heteroptera: Heteroptera morphometry traits
In RS-eco/traitdata: Easy access to various ecological trait data
heteroptera R Documentation
Heteroptera morphometry traits
Description
Morphometric measures of Heteroptera sampled in grasslands across three
regions of Germany.
Usage
data(heteroptera)
Format
A data.frame with 179 observations and 20 variables.
Details
The data sets comprises measured morphometric traits of a total of 179 Heteroptera species that were
sampled by sweep-netting on a total of 150 managed grassland plots across three regions in Germany between 2008 and 2012.
These plots represent the whole range of grassland management intensities from extensively used pastures to mown pastures
to intensively managed and fertilized meadows. In this paper we provide a database of mean values of 23 morphometric measures
across sex and morphotypes for each sampled Heteroptera species.
Morphological traits are assumed to be related to their adaptation and function in the environment.
Thus the relative morphometric traits can be used as proxies for ecological features of a species
that may affect its performance or fitness. Our database can be used by future trait-based studies
for developing and testing hypotheses of the functional significance of these traits.
Examples include studying the functional responses of insect communities to environmental drivers or
studying how the change in trait composition affects ecosystem processes.
Measures
Order, Suborder, Family, SpeciesID, Genus, Species, Author,
Body_length, Body_volume, Rel_wing_length,
Hind.Femur_shape, Rel_Hind.Femur_length, Rel_Rostrum_length, Front.Femur_shape,
Body_shape, Rel_eye_size, Rel_Antenna_length, Schwaebische_Alb, Hainich, Schorfheide.Chorin,
scientificNameStd
Source
Cite this dataset as:
M. Gossner, Martin; K. Simons,
Nadja; Hoeck, Leonhard; W. Weisser, Wolfgang (2016): Morphometric measures
of Heteroptera sampled in grasslands across three regions of Germany.
https://doi.org/10.6084/m9.figshare.c.3307611.v1.
https://figshare.com/articles/Data_Paper_Data_Paper/3561936.
RS-eco/traitdata documentation built on Oct. 29, 2022, 7:52 p.m.
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| heteroptera | R Documentation |
Heteroptera morphometry traits
Description
Morphometric measures of Heteroptera sampled in grasslands across three regions of Germany.
Usage
data(heteroptera)
Format
A data.frame with 179 observations and 20 variables.
Details
The data sets comprises measured morphometric traits of a total of 179 Heteroptera species that were sampled by sweep-netting on a total of 150 managed grassland plots across three regions in Germany between 2008 and 2012. These plots represent the whole range of grassland management intensities from extensively used pastures to mown pastures to intensively managed and fertilized meadows. In this paper we provide a database of mean values of 23 morphometric measures across sex and morphotypes for each sampled Heteroptera species.
Morphological traits are assumed to be related to their adaptation and function in the environment. Thus the relative morphometric traits can be used as proxies for ecological features of a species that may affect its performance or fitness. Our database can be used by future trait-based studies for developing and testing hypotheses of the functional significance of these traits.
Examples include studying the functional responses of insect communities to environmental drivers or studying how the change in trait composition affects ecosystem processes.
Measures
Order, Suborder, Family, SpeciesID, Genus, Species, Author,
Body_length, Body_volume, Rel_wing_length,
Hind.Femur_shape, Rel_Hind.Femur_length, Rel_Rostrum_length, Front.Femur_shape,
Body_shape, Rel_eye_size, Rel_Antenna_length, Schwaebische_Alb, Hainich, Schorfheide.Chorin,
scientificNameStd
Source
Cite this dataset as:
M. Gossner, Martin; K. Simons, Nadja; Hoeck, Leonhard; W. Weisser, Wolfgang (2016): Morphometric measures of Heteroptera sampled in grasslands across three regions of Germany. https://doi.org/10.6084/m9.figshare.c.3307611.v1.
https://figshare.com/articles/Data_Paper_Data_Paper/3561936.
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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