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The global impact factors of net primary production in different land cover types from 2005 to 2011
With the seriously polluted environment due to social development, the sustainability of net primary production (NPP), which is used to feed most lives on the earth, has become one of the biggest concerns that we have to consider for the sake of food shortage. There have been many researches analyzi...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4971002/ https://www.ncbi.nlm.nih.gov/pubmed/27536518 http://dx.doi.org/10.1186/s40064-016-2910-1 |
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author | Yu, Bo Chen, Fang |
author_facet | Yu, Bo Chen, Fang |
author_sort | Yu, Bo |
collection | PubMed |
description | With the seriously polluted environment due to social development, the sustainability of net primary production (NPP), which is used to feed most lives on the earth, has become one of the biggest concerns that we have to consider for the sake of food shortage. There have been many researches analyzing one or two potential impact factors of NPP based on field observation data, which brings about many uncertainties for further calculation. Moreover, the frequently used process-based models heavily depend on the understandings of researchers about the NPP process. The premises of such models hinder the impact factor analysis from being objective and confident. To overcome such shortages, we collected 27 potential impact factors of global NPP in terms of eight land cover types. The feature variables include atmosphere, biosphere, anthroposphere and lithosphere parameters, which can be obtained from public available remote sensed products. The experiment shows that latitude, irradiance ultraviolet and normalized difference vegetation index are dominant factors impacting global NPP. Anthropogenic activities, precipitation and surface emissivity are influencing NPP calculation largely. However, some commonly used biosphere parameters in process-based models are actually not playing that important roles in NPP estimation. This work provides a new insight in analyzing NPP impact factors, being more objective and comprehensive compared with frequently used process-based models. |
format | Online Article Text |
id | pubmed-4971002 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-49710022016-08-17 The global impact factors of net primary production in different land cover types from 2005 to 2011 Yu, Bo Chen, Fang Springerplus Research With the seriously polluted environment due to social development, the sustainability of net primary production (NPP), which is used to feed most lives on the earth, has become one of the biggest concerns that we have to consider for the sake of food shortage. There have been many researches analyzing one or two potential impact factors of NPP based on field observation data, which brings about many uncertainties for further calculation. Moreover, the frequently used process-based models heavily depend on the understandings of researchers about the NPP process. The premises of such models hinder the impact factor analysis from being objective and confident. To overcome such shortages, we collected 27 potential impact factors of global NPP in terms of eight land cover types. The feature variables include atmosphere, biosphere, anthroposphere and lithosphere parameters, which can be obtained from public available remote sensed products. The experiment shows that latitude, irradiance ultraviolet and normalized difference vegetation index are dominant factors impacting global NPP. Anthropogenic activities, precipitation and surface emissivity are influencing NPP calculation largely. However, some commonly used biosphere parameters in process-based models are actually not playing that important roles in NPP estimation. This work provides a new insight in analyzing NPP impact factors, being more objective and comprehensive compared with frequently used process-based models. Springer International Publishing 2016-08-02 /pmc/articles/PMC4971002/ /pubmed/27536518 http://dx.doi.org/10.1186/s40064-016-2910-1 Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Research Yu, Bo Chen, Fang The global impact factors of net primary production in different land cover types from 2005 to 2011 |
title | The global impact factors of net primary production in different land cover types from 2005 to 2011 |
title_full | The global impact factors of net primary production in different land cover types from 2005 to 2011 |
title_fullStr | The global impact factors of net primary production in different land cover types from 2005 to 2011 |
title_full_unstemmed | The global impact factors of net primary production in different land cover types from 2005 to 2011 |
title_short | The global impact factors of net primary production in different land cover types from 2005 to 2011 |
title_sort | global impact factors of net primary production in different land cover types from 2005 to 2011 |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4971002/ https://www.ncbi.nlm.nih.gov/pubmed/27536518 http://dx.doi.org/10.1186/s40064-016-2910-1 |
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