nema: Nematodes data from Araca Bay, Sao Sebastiao, Brazil.
In segRDA: Modeling Non-Continuous Linear Responses of Ecological Data
Description
Usage
Format
References
Description
A total of 37 sites arranged in an irregular grid were surveyed during four sampling campaigns at the
Araçá Bay, southeastern Brazil. A total of 141 samples were collected for analyzing changes in
nematodes assemblages along the environmental gradient of the bay.
Usage
1
Format
nema is a list with the following components:
- envi
a matrix with 141 sites and 9 environmental variables: chlorophyll a (mg.m-2), bathymetry (meters), percentage of total organic carbon, percentage of coarse sands (as the sum of pebbles, very coarse, coarse, and medium grains), percentage of fine sand, percentage of very fine sand, mean grain size, and sorting coefficient.
- comm
matrix with 141 sites of 194 nematodes species
References
Checon, H. H., D. C. Vieira, G. N. Corte, E. C. P. M. Sousa, G. Fonseca, and A. C. Z. Amaral. 2018. Defining soft bottom habitats and potential indicator species as tools for monitoring coastal systems: A case study in a subtropical bay. Ocean & Coastal Management.
Corte, G. N., H. H. Checon, G. Fonseca, D. C. Vieira, F. Gallucci, M. Di Domenico, and A. C. Z. Amaral. 2017. Cross-taxon congruence in benthic communities: Searching for surrogates in marine sediments. Ecological Indicators 78:173–182.
segRDA documentation built on July 31, 2019, 9:03 a.m.
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Description Usage Format References
Description
A total of 37 sites arranged in an irregular grid were surveyed during four sampling campaigns at the Araçá Bay, southeastern Brazil. A total of 141 samples were collected for analyzing changes in nematodes assemblages along the environmental gradient of the bay.
Usage
1 |
Format
nema is a list with the following components:
- envi
a matrix with 141 sites and 9 environmental variables: chlorophyll a (mg.m-2), bathymetry (meters), percentage of total organic carbon, percentage of coarse sands (as the sum of pebbles, very coarse, coarse, and medium grains), percentage of fine sand, percentage of very fine sand, mean grain size, and sorting coefficient.
- comm
matrix with 141 sites of 194 nematodes species
References
Checon, H. H., D. C. Vieira, G. N. Corte, E. C. P. M. Sousa, G. Fonseca, and A. C. Z. Amaral. 2018. Defining soft bottom habitats and potential indicator species as tools for monitoring coastal systems: A case study in a subtropical bay. Ocean & Coastal Management.
Corte, G. N., H. H. Checon, G. Fonseca, D. C. Vieira, F. Gallucci, M. Di Domenico, and A. C. Z. Amaral. 2017. Cross-taxon congruence in benthic communities: Searching for surrogates in marine sediments. Ecological Indicators 78:173–182.
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