FIGURE 4 in Evaluating the feasibility of using plant-specific metabarcoding to assess forest types from soil eDNA

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Main Authors: Ariza, Maria, Engelstad, Mari, Lieungh, Eva, Laux, Marcele, Ready, Jonathan, Mauvisseau, Quentin, Halvorsen, Rune, de Boer, Hugo J.
Format: Recurso digital
Published: Zenodo 2024
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author Ariza, Maria
Engelstad, Mari
Lieungh, Eva
Laux, Marcele
Ready, Jonathan
Mauvisseau, Quentin
Halvorsen, Rune
de Boer, Hugo J.
author_facet Ariza, Maria
Engelstad, Mari
Lieungh, Eva
Laux, Marcele
Ready, Jonathan
Mauvisseau, Quentin
Halvorsen, Rune
de Boer, Hugo J.
contents FIGURE 4 Percentage taxon match between soil eDNA sites and theoretical compositions of Nature in Norway (NiN) forest types. For comparison purposes, soil sampling sites (y axis) are labelled according to forest types (x axis) reported for each location in Eriksen et al. (2019) and Lieungh (2022). The percentage taxon match is calculated as twice the number of identical names in both taxon lists divided by the sum of total taxa in each list. Numbers of soil samples vary across forest types. Forest types: C1, calcium-poor submesic forest; C2, intermediately calcium-rich submesic forest; C5 calcium-poor submesic to subxeric forest; C6 intermediately calcium-rich submesic to subxeric forest; C9 calcium-poor subxeric forest; C13 calcium-poor xeric forest.
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_15864738
institution Zenodo
language
publishDate 2024
publisher Zenodo
record_format zenodo
spellingShingle FIGURE 4 in Evaluating the feasibility of using plant-specific metabarcoding to assess forest types from soil eDNA
Ariza, Maria
Engelstad, Mari
Lieungh, Eva
Laux, Marcele
Ready, Jonathan
Mauvisseau, Quentin
Halvorsen, Rune
de Boer, Hugo J.
Biodiversity
Taxonomy
FIGURE 4 Percentage taxon match between soil eDNA sites and theoretical compositions of Nature in Norway (NiN) forest types. For comparison purposes, soil sampling sites (y axis) are labelled according to forest types (x axis) reported for each location in Eriksen et al. (2019) and Lieungh (2022). The percentage taxon match is calculated as twice the number of identical names in both taxon lists divided by the sum of total taxa in each list. Numbers of soil samples vary across forest types. Forest types: C1, calcium-poor submesic forest; C2, intermediately calcium-rich submesic forest; C5 calcium-poor submesic to subxeric forest; C6 intermediately calcium-rich submesic to subxeric forest; C9 calcium-poor subxeric forest; C13 calcium-poor xeric forest.
title FIGURE 4 in Evaluating the feasibility of using plant-specific metabarcoding to assess forest types from soil eDNA
topic Biodiversity
Taxonomy
url https://doi.org/10.5281/zenodo.15864738