Terrestrial Ecosystem Model (TEM) Dataset - data from 16 vegetation types worldwide
The Terrestrial Ecosystem Model (TEM) is a process-based model developed by staff at the Ecosystems Center, Marine Biological Laboratory, Woods Hole, Massachusetts, U.S.A. Data on pool sizes and fluxes of carbon (C) and nitrogen (N) from 16 field study sites in a wide range of biomes were used to ca...
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Online Access: | https://doi.org/10.5063/AA/nceas.149.5 |
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dataone:doi:10.5063/AA/nceas.149.5 2023-11-08T14:15:00+01:00 Terrestrial Ecosystem Model (TEM) Dataset - data from 16 vegetation types worldwide NCEAS 2017: Prince: Global Primary Production Data Initiative David Kicklighter National Center for Ecological Analysis and Synthesis Sites in USA, Canada, Brazil, New Zealand, South Africa, Puerto Rico, and India. ENVELOPE(-148.25,-174.96973,65.43,-41.17972) BEGINDATE: 1992-01-01T00:00:00Z ENDDATE: 1992-01-01T00:00:00Z 2004-08-11T23:00:00Z https://doi.org/10.5063/AA/nceas.149.5 unknown Knowledge Network for Biocomplexity carbon nitrogen net primary production vegetation soil Dataset dataone:urn:node:KNB https://doi.org/10.5063/AA/nceas.149.5 2023-11-08T13:31:10Z The Terrestrial Ecosystem Model (TEM) is a process-based model developed by staff at the Ecosystems Center, Marine Biological Laboratory, Woods Hole, Massachusetts, U.S.A. Data on pool sizes and fluxes of carbon (C) and nitrogen (N) from 16 field study sites in a wide range of biomes were used to calibrate the model. Ranging from tundra to tropical forest, but excluding wetlands, these data are collectively known as the Dataset Tundra Knowledge Network for Biocomplexity (via DataONE) Canada New Zealand ENVELOPE(-148.25,-174.96973,65.43,-41.17972) |
institution |
Open Polar |
collection |
Knowledge Network for Biocomplexity (via DataONE) |
op_collection_id |
dataone:urn:node:KNB |
language |
unknown |
topic |
carbon nitrogen net primary production vegetation soil |
spellingShingle |
carbon nitrogen net primary production vegetation soil NCEAS 2017: Prince: Global Primary Production Data Initiative David Kicklighter National Center for Ecological Analysis and Synthesis Terrestrial Ecosystem Model (TEM) Dataset - data from 16 vegetation types worldwide |
topic_facet |
carbon nitrogen net primary production vegetation soil |
description |
The Terrestrial Ecosystem Model (TEM) is a process-based model developed by staff at the Ecosystems Center, Marine Biological Laboratory, Woods Hole, Massachusetts, U.S.A. Data on pool sizes and fluxes of carbon (C) and nitrogen (N) from 16 field study sites in a wide range of biomes were used to calibrate the model. Ranging from tundra to tropical forest, but excluding wetlands, these data are collectively known as the |
format |
Dataset |
author |
NCEAS 2017: Prince: Global Primary Production Data Initiative David Kicklighter National Center for Ecological Analysis and Synthesis |
author_facet |
NCEAS 2017: Prince: Global Primary Production Data Initiative David Kicklighter National Center for Ecological Analysis and Synthesis |
author_sort |
NCEAS 2017: Prince: Global Primary Production Data Initiative |
title |
Terrestrial Ecosystem Model (TEM) Dataset - data from 16 vegetation types worldwide |
title_short |
Terrestrial Ecosystem Model (TEM) Dataset - data from 16 vegetation types worldwide |
title_full |
Terrestrial Ecosystem Model (TEM) Dataset - data from 16 vegetation types worldwide |
title_fullStr |
Terrestrial Ecosystem Model (TEM) Dataset - data from 16 vegetation types worldwide |
title_full_unstemmed |
Terrestrial Ecosystem Model (TEM) Dataset - data from 16 vegetation types worldwide |
title_sort |
terrestrial ecosystem model (tem) dataset - data from 16 vegetation types worldwide |
publisher |
Knowledge Network for Biocomplexity |
publishDate |
|
url |
https://doi.org/10.5063/AA/nceas.149.5 |
op_coverage |
Sites in USA, Canada, Brazil, New Zealand, South Africa, Puerto Rico, and India. ENVELOPE(-148.25,-174.96973,65.43,-41.17972) BEGINDATE: 1992-01-01T00:00:00Z ENDDATE: 1992-01-01T00:00:00Z |
long_lat |
ENVELOPE(-148.25,-174.96973,65.43,-41.17972) |
geographic |
Canada New Zealand |
geographic_facet |
Canada New Zealand |
genre |
Tundra |
genre_facet |
Tundra |
op_doi |
https://doi.org/10.5063/AA/nceas.149.5 |
_version_ |
1782011749989351424 |