GIS tool to predict photosynthetically active radiation in a Dry Valley
Abstract Understanding primary productivity is a core research area of the National Science Foundation's Long-Term Ecological Research Network. This study presents the development of the GIS-based Topographic Solar Photosynthetically Active Radiation (T-sPAR) toolbox for Taylor Valley. It maps...
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crcambridgeupr:10.1017/s0954102020000218 2024-03-03T08:39:30+00:00 GIS tool to predict photosynthetically active radiation in a Dry Valley Acosta, Dimitri Doran, Peter T. Myers, Madeline 2020 http://dx.doi.org/10.1017/s0954102020000218 https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0954102020000218 en eng Cambridge University Press (CUP) https://www.cambridge.org/core/terms Antarctic Science volume 32, issue 5, page 315-328 ISSN 0954-1020 1365-2079 Geology Ecology, Evolution, Behavior and Systematics Oceanography journal-article 2020 crcambridgeupr https://doi.org/10.1017/s0954102020000218 2024-02-08T08:37:24Z Abstract Understanding primary productivity is a core research area of the National Science Foundation's Long-Term Ecological Research Network. This study presents the development of the GIS-based Topographic Solar Photosynthetically Active Radiation (T-sPAR) toolbox for Taylor Valley. It maps surface photosynthetically active radiation using four meteorological stations with ~20 years of data. T-sPAR estimates were validated with ground-truth data collected at Taylor Valley's major lakes during the 2014–15 and 2015–16 field seasons. The average daily error ranges from 0.13 mol photons m -2 day -1 (0.6%) at Lake Fryxell to 3.8 mol photons m -2 day -1 (5.8%) at Lake Hoare. We attribute error to variability in terrain and sun position. Finally, a user interface was developed in order to estimate total daily surface photosynthetically active radiation for any location and date within the basin. T-sPAR improves upon existing toolboxes and models by allowing for the inclusion of a statistical treatment of light attenuation due to cloud cover. The T-sPAR toolbox could be used to inform biological sampling sites based on radiation distribution, which could collectively improve estimates of net primary productivity, in some cases by up to 25%. Article in Journal/Newspaper Antarctic Science Cambridge University Press Taylor Valley ENVELOPE(163.000,163.000,-77.617,-77.617) Fryxell ENVELOPE(163.183,163.183,-77.617,-77.617) Hoare ENVELOPE(162.850,162.850,-77.633,-77.633) Lake Fryxell ENVELOPE(163.183,163.183,-77.617,-77.617) Lake Hoare ENVELOPE(162.850,162.850,-77.633,-77.633) Antarctic Science 32 5 315 328 |
institution |
Open Polar |
collection |
Cambridge University Press |
op_collection_id |
crcambridgeupr |
language |
English |
topic |
Geology Ecology, Evolution, Behavior and Systematics Oceanography |
spellingShingle |
Geology Ecology, Evolution, Behavior and Systematics Oceanography Acosta, Dimitri Doran, Peter T. Myers, Madeline GIS tool to predict photosynthetically active radiation in a Dry Valley |
topic_facet |
Geology Ecology, Evolution, Behavior and Systematics Oceanography |
description |
Abstract Understanding primary productivity is a core research area of the National Science Foundation's Long-Term Ecological Research Network. This study presents the development of the GIS-based Topographic Solar Photosynthetically Active Radiation (T-sPAR) toolbox for Taylor Valley. It maps surface photosynthetically active radiation using four meteorological stations with ~20 years of data. T-sPAR estimates were validated with ground-truth data collected at Taylor Valley's major lakes during the 2014–15 and 2015–16 field seasons. The average daily error ranges from 0.13 mol photons m -2 day -1 (0.6%) at Lake Fryxell to 3.8 mol photons m -2 day -1 (5.8%) at Lake Hoare. We attribute error to variability in terrain and sun position. Finally, a user interface was developed in order to estimate total daily surface photosynthetically active radiation for any location and date within the basin. T-sPAR improves upon existing toolboxes and models by allowing for the inclusion of a statistical treatment of light attenuation due to cloud cover. The T-sPAR toolbox could be used to inform biological sampling sites based on radiation distribution, which could collectively improve estimates of net primary productivity, in some cases by up to 25%. |
format |
Article in Journal/Newspaper |
author |
Acosta, Dimitri Doran, Peter T. Myers, Madeline |
author_facet |
Acosta, Dimitri Doran, Peter T. Myers, Madeline |
author_sort |
Acosta, Dimitri |
title |
GIS tool to predict photosynthetically active radiation in a Dry Valley |
title_short |
GIS tool to predict photosynthetically active radiation in a Dry Valley |
title_full |
GIS tool to predict photosynthetically active radiation in a Dry Valley |
title_fullStr |
GIS tool to predict photosynthetically active radiation in a Dry Valley |
title_full_unstemmed |
GIS tool to predict photosynthetically active radiation in a Dry Valley |
title_sort |
gis tool to predict photosynthetically active radiation in a dry valley |
publisher |
Cambridge University Press (CUP) |
publishDate |
2020 |
url |
http://dx.doi.org/10.1017/s0954102020000218 https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0954102020000218 |
long_lat |
ENVELOPE(163.000,163.000,-77.617,-77.617) ENVELOPE(163.183,163.183,-77.617,-77.617) ENVELOPE(162.850,162.850,-77.633,-77.633) ENVELOPE(163.183,163.183,-77.617,-77.617) ENVELOPE(162.850,162.850,-77.633,-77.633) |
geographic |
Taylor Valley Fryxell Hoare Lake Fryxell Lake Hoare |
geographic_facet |
Taylor Valley Fryxell Hoare Lake Fryxell Lake Hoare |
genre |
Antarctic Science |
genre_facet |
Antarctic Science |
op_source |
Antarctic Science volume 32, issue 5, page 315-328 ISSN 0954-1020 1365-2079 |
op_rights |
https://www.cambridge.org/core/terms |
op_doi |
https://doi.org/10.1017/s0954102020000218 |
container_title |
Antarctic Science |
container_volume |
32 |
container_issue |
5 |
container_start_page |
315 |
op_container_end_page |
328 |
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1792495074976727040 |