Using a Random Forest model to predict the distribution of benthic biomass in the Bering Sea
Marine benthic invertebrates provide a critical resource base for several higher trophic level consumers, such as seabirds and marine mammals. Exploring the distribution and movements of higher level consumers requires maps of benthic resources at appropriately large scales. Logistic constraints ren...
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International Arctic Research Center (IARC) Data Archive
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dataone:dcx_2235f94c-ff39-4875-baa5-a4dbbbf87a38_1 2024-06-03T18:46:46+00:00 Using a Random Forest model to predict the distribution of benthic biomass in the Bering Sea 2015-06-18T21:25:47.658Z https://search.dataone.org/view/dcx_2235f94c-ff39-4875-baa5-a4dbbbf87a38_1 unknown International Arctic Research Center (IARC) Data Archive benthic biomass model Bering Sea Dataset dataone:urn:node:IARC 2024-06-03T18:07:27Z Marine benthic invertebrates provide a critical resource base for several higher trophic level consumers, such as seabirds and marine mammals. Exploring the distribution and movements of higher level consumers requires maps of benthic resources at appropriately large scales. Logistic constraints render it improbable that a spatially continuous map of benthic biomass can be provided by sampling alone, and predictive modeling offers a valuable alternative to create such maps. Here, we describe how to use an algorithmic model that overcomes many weaknesses of traditional data models to predict benthic biomass at large spatial scales. We use a decision-tree modeling approach (RandomForest) to link benthic biomass to chlorophyll a concentration, sea surface temperature, sea ice cover, depth, distance to coastline, sea bottom temperature and sea bottom salinity, and present a digital map of predicted benthic biomass across the Bering Sea. Dataset Bering Sea Sea ice International Arctic Research Center (IARC) Data Archive (via DataONE) Bering Sea |
institution |
Open Polar |
collection |
International Arctic Research Center (IARC) Data Archive (via DataONE) |
op_collection_id |
dataone:urn:node:IARC |
language |
unknown |
topic |
benthic biomass model Bering Sea |
spellingShingle |
benthic biomass model Bering Sea Using a Random Forest model to predict the distribution of benthic biomass in the Bering Sea |
topic_facet |
benthic biomass model Bering Sea |
description |
Marine benthic invertebrates provide a critical resource base for several higher trophic level consumers, such as seabirds and marine mammals. Exploring the distribution and movements of higher level consumers requires maps of benthic resources at appropriately large scales. Logistic constraints render it improbable that a spatially continuous map of benthic biomass can be provided by sampling alone, and predictive modeling offers a valuable alternative to create such maps. Here, we describe how to use an algorithmic model that overcomes many weaknesses of traditional data models to predict benthic biomass at large spatial scales. We use a decision-tree modeling approach (RandomForest) to link benthic biomass to chlorophyll a concentration, sea surface temperature, sea ice cover, depth, distance to coastline, sea bottom temperature and sea bottom salinity, and present a digital map of predicted benthic biomass across the Bering Sea. |
format |
Dataset |
title |
Using a Random Forest model to predict the distribution of benthic biomass in the Bering Sea |
title_short |
Using a Random Forest model to predict the distribution of benthic biomass in the Bering Sea |
title_full |
Using a Random Forest model to predict the distribution of benthic biomass in the Bering Sea |
title_fullStr |
Using a Random Forest model to predict the distribution of benthic biomass in the Bering Sea |
title_full_unstemmed |
Using a Random Forest model to predict the distribution of benthic biomass in the Bering Sea |
title_sort |
using a random forest model to predict the distribution of benthic biomass in the bering sea |
publisher |
International Arctic Research Center (IARC) Data Archive |
publishDate |
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url |
https://search.dataone.org/view/dcx_2235f94c-ff39-4875-baa5-a4dbbbf87a38_1 |
geographic |
Bering Sea |
geographic_facet |
Bering Sea |
genre |
Bering Sea Sea ice |
genre_facet |
Bering Sea Sea ice |
_version_ |
1800870751276892160 |