Estimation of net primary productivity using a process-based model in Gansu Province, Northwest China.
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| Title: | Estimation of net primary productivity using a process-based model in Gansu Province, Northwest China. |
|---|---|
| Authors: | Wang, Peijuan1 wangpj@cams.cma.gov.cn, Xie, Donghui2, Zhou, Yuyu3, E, Youhao1, Zhu, Qijiang2 |
| Source: | Environmental Earth Sciences. Jan2014, Vol. 71 Issue 2, p647-658. 12p. |
| Subjects: | Primary commodities, Ecological models, Vegetation & climate, Runoff |
| Geographic Terms: | Gansu Sheng (China), Northwest China, China |
| Abstract: | The ecological structure in the arid and semi-arid region of Northwest China with forest, grassland, agriculture, Gobi, and desert, is complex, vulnerable, and unstable. It is a challenging and sustaining job to keep the ecological structure and improve its ecological function. Net primary productivity (NPP) modeling can help to improve the understanding of the ecosystem, and therefore, improve ecological efficiency. The boreal ecosystem productivity simulator (BEPS) model provides the possibility of NPP modeling in terrestrial ecosystem, but it has some limitations for application in arid and semi-arid regions. In this paper, we improve the BEPS model, in terms of its water cycle by adding the processes of infiltration and surface runoff, to be applicable in arid and semi-arid regions. We model the NPP of forest, grass, and crop in Gansu Province as an experimental area in Northwest China in 2003 using the improved BEPS model, parameterized with moderate resolution remote sensing imageries and meteorological data. The modeled NPP using improved BEPS agrees better with the ground measurements in Qilian Mountain than that with original BEPS, with a higher R of 0.746 and lower root mean square error (RMSE) of 46.53 gC m compared to R of 0.662 and RMSE of 60.19 gC m from original BEPS. The modeled NPP of three vegetation types using improved BEPS shows evident differences compared to that using original BEPS, with the highest difference ratio of 9.21 % in forest and the lowest value of 4.29 % in crop. The difference ratios between different vegetation types lie on the dependence on natural water sources. The modeled NPP in five geographic zones using improved BEPS is higher than those with original BEPS, with higher difference ratio in dry zones and lower value in wet zones. [ABSTRACT FROM AUTHOR] |
| Copyright of Environmental Earth Sciences is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Items | – Name: Title Label: Title Group: Ti Data: Estimation of net primary productivity using a process-based model in Gansu Province, Northwest China. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Wang%2C+Peijuan%22">Wang, Peijuan</searchLink><relatesTo>1</relatesTo><i> wangpj@cams.cma.gov.cn</i><br /><searchLink fieldCode="AR" term="%22Xie%2C+Donghui%22">Xie, Donghui</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Zhou%2C+Yuyu%22">Zhou, Yuyu</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22E%2C+Youhao%22">E, Youhao</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Zhu%2C+Qijiang%22">Zhu, Qijiang</searchLink><relatesTo>2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Environmental+Earth+Sciences%22">Environmental Earth Sciences</searchLink>. Jan2014, Vol. 71 Issue 2, p647-658. 12p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Primary+commodities%22">Primary commodities</searchLink><br /><searchLink fieldCode="DE" term="%22Ecological+models%22">Ecological models</searchLink><br /><searchLink fieldCode="DE" term="%22Vegetation+%26+climate%22">Vegetation & climate</searchLink><br /><searchLink fieldCode="DE" term="%22Runoff%22">Runoff</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Gansu+Sheng+%28China%29%22">Gansu Sheng (China)</searchLink><br /><searchLink fieldCode="DE" term="%22Northwest+China%22">Northwest China</searchLink><br /><searchLink fieldCode="DE" term="%22China%22">China</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The ecological structure in the arid and semi-arid region of Northwest China with forest, grassland, agriculture, Gobi, and desert, is complex, vulnerable, and unstable. It is a challenging and sustaining job to keep the ecological structure and improve its ecological function. Net primary productivity (NPP) modeling can help to improve the understanding of the ecosystem, and therefore, improve ecological efficiency. The boreal ecosystem productivity simulator (BEPS) model provides the possibility of NPP modeling in terrestrial ecosystem, but it has some limitations for application in arid and semi-arid regions. In this paper, we improve the BEPS model, in terms of its water cycle by adding the processes of infiltration and surface runoff, to be applicable in arid and semi-arid regions. We model the NPP of forest, grass, and crop in Gansu Province as an experimental area in Northwest China in 2003 using the improved BEPS model, parameterized with moderate resolution remote sensing imageries and meteorological data. The modeled NPP using improved BEPS agrees better with the ground measurements in Qilian Mountain than that with original BEPS, with a higher R of 0.746 and lower root mean square error (RMSE) of 46.53 gC m compared to R of 0.662 and RMSE of 60.19 gC m from original BEPS. The modeled NPP of three vegetation types using improved BEPS shows evident differences compared to that using original BEPS, with the highest difference ratio of 9.21 % in forest and the lowest value of 4.29 % in crop. The difference ratios between different vegetation types lie on the dependence on natural water sources. The modeled NPP in five geographic zones using improved BEPS is higher than those with original BEPS, with higher difference ratio in dry zones and lower value in wet zones. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Environmental Earth Sciences is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s12665-013-2462-4 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 647 Subjects: – SubjectFull: Primary commodities Type: general – SubjectFull: Ecological models Type: general – SubjectFull: Vegetation & climate Type: general – SubjectFull: Runoff Type: general – SubjectFull: Gansu Sheng (China) Type: general – SubjectFull: Northwest China Type: general – SubjectFull: China Type: general Titles: – TitleFull: Estimation of net primary productivity using a process-based model in Gansu Province, Northwest China. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wang, Peijuan – PersonEntity: Name: NameFull: Xie, Donghui – PersonEntity: Name: NameFull: Zhou, Yuyu – PersonEntity: Name: NameFull: E, Youhao – PersonEntity: Name: NameFull: Zhu, Qijiang IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 01 Text: Jan2014 Type: published Y: 2014 Identifiers: – Type: issn-print Value: 18666280 Numbering: – Type: volume Value: 71 – Type: issue Value: 2 Titles: – TitleFull: Environmental Earth Sciences Type: main |
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