Generalized biomass equations for Stone pine (Pinus pinea L.) across the Mediterranean basin.
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| Title: | Generalized biomass equations for Stone pine (Pinus pinea L.) across the Mediterranean basin. |
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| Authors: | Correia, A.C.1 alexandrac@isa.ulisboa.pt, Faias, S.P.1, Ruiz-Peinado, R.1, Chianucci, F.1, Cutini, A.1, Fontes, L.1, Manetti, M.C.1, Montero, G.1, Soares, P.1, Tomé, M.1 |
| Source: | Forest Ecology & Management. Dec2018, Vol. 429, p425-436. 12p. |
| Subject Terms: | *Biomass & the environment, Stone pines, Simultaneous interpreting, Allometry, Residual stresses, Geodatabases |
| Abstract: | Highlights • Pinus pinea is economically important in the Mediterranean basin. • Above and belowground biomass equations were developed with 283 harvested trees. • Accuracy of biomass estimates improved for root and high dimension trees. • Biased estimates were observed when using equations outside the geographical range. • Best biomass equations for regional and national biomass inventories. Abstract Accurate estimates of tree biomass are strongly required for forest carbon budget estimates and to understand ecosystem dynamics for a sustainable management. Existing biomass equations for Mediterranean species are scarce, stand- and site-specific and therefore are not suitable for large scale application. In this study, biomass allometric equations were developed for stone pine (Pinus pinea L.), a Mediterranean tree species with relevant ecologic and economic interest. A dataset of 283 harvested trees was compiled with above- and belowground biomass from 16 sites in three countries (Italy, Spain, Portugal) representative of the species’ geographical Mediterranean distribution. A preliminary approach comparing the ordinary least squares method and the mixed model approach was performed in order to evaluate the most appropriate method for nested data in the absence of calibration data. To quantify the sources of error associated with applying biomass equations beyond the geographical range of the data used to develop them, a residual analysis was conducted. The allometric analysis showed low intra-specific variability in aboveground biomass relationships, which was relatively insensitive to the stand and site conditions. Significant differences were found for the crown components (needles and branches), which may be attributed to local geographical adaptation, site conditions and stand management. The root biomass was highly correlated with diameter at breast height irrespective of the geographical origin. Biased estimates were found when using site-specific equations outside the geographical range from where they were developed. The new biomass equations improved the accuracy of biomass estimates, particularly for the aboveground components of higher dimension trees and for the root component, being highly suitable for use in regional and national biomass forest calculations. It is, up to the present, the most complete database of harvested stone pine trees worldwide. [ABSTRACT FROM AUTHOR] |
| Copyright of Forest Ecology & Management is the property of Elsevier B.V. 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.) | |
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| FullText | Text: Availability: 0 |
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| Header | DbId: 8gh DbLabel: GreenFILE An: 131767441 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Generalized biomass equations for Stone pine (Pinus pinea L.) across the Mediterranean basin. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Correia%2C+A%2EC%2E%22">Correia, A.C.</searchLink><relatesTo>1</relatesTo><i> alexandrac@isa.ulisboa.pt</i><br /><searchLink fieldCode="AR" term="%22Faias%2C+S%2EP%2E%22">Faias, S.P.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Ruiz-Peinado%2C+R%2E%22">Ruiz-Peinado, R.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Chianucci%2C+F%2E%22">Chianucci, F.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Cutini%2C+A%2E%22">Cutini, A.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Fontes%2C+L%2E%22">Fontes, L.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Manetti%2C+M%2EC%2E%22">Manetti, M.C.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Montero%2C+G%2E%22">Montero, G.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Soares%2C+P%2E%22">Soares, P.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Tomé%2C+M%2E%22">Tomé, M.</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Forest+Ecology+%26+Management%22">Forest Ecology & Management</searchLink>. Dec2018, Vol. 429, p425-436. 12p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Biomass+%26+the+environment%22">Biomass & the environment</searchLink><br /><searchLink fieldCode="DE" term="%22Stone+pines%22">Stone pines</searchLink><br /><searchLink fieldCode="DE" term="%22Simultaneous+interpreting%22">Simultaneous interpreting</searchLink><br /><searchLink fieldCode="DE" term="%22Allometry%22">Allometry</searchLink><br /><searchLink fieldCode="DE" term="%22Residual+stresses%22">Residual stresses</searchLink><br /><searchLink fieldCode="DE" term="%22Geodatabases%22">Geodatabases</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Highlights • Pinus pinea is economically important in the Mediterranean basin. • Above and belowground biomass equations were developed with 283 harvested trees. • Accuracy of biomass estimates improved for root and high dimension trees. • Biased estimates were observed when using equations outside the geographical range. • Best biomass equations for regional and national biomass inventories. Abstract Accurate estimates of tree biomass are strongly required for forest carbon budget estimates and to understand ecosystem dynamics for a sustainable management. Existing biomass equations for Mediterranean species are scarce, stand- and site-specific and therefore are not suitable for large scale application. In this study, biomass allometric equations were developed for stone pine (Pinus pinea L.), a Mediterranean tree species with relevant ecologic and economic interest. A dataset of 283 harvested trees was compiled with above- and belowground biomass from 16 sites in three countries (Italy, Spain, Portugal) representative of the species’ geographical Mediterranean distribution. A preliminary approach comparing the ordinary least squares method and the mixed model approach was performed in order to evaluate the most appropriate method for nested data in the absence of calibration data. To quantify the sources of error associated with applying biomass equations beyond the geographical range of the data used to develop them, a residual analysis was conducted. The allometric analysis showed low intra-specific variability in aboveground biomass relationships, which was relatively insensitive to the stand and site conditions. Significant differences were found for the crown components (needles and branches), which may be attributed to local geographical adaptation, site conditions and stand management. The root biomass was highly correlated with diameter at breast height irrespective of the geographical origin. Biased estimates were found when using site-specific equations outside the geographical range from where they were developed. The new biomass equations improved the accuracy of biomass estimates, particularly for the aboveground components of higher dimension trees and for the root component, being highly suitable for use in regional and national biomass forest calculations. It is, up to the present, the most complete database of harvested stone pine trees worldwide. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Forest Ecology & Management is the property of Elsevier B.V. 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: 10.1016/j.foreco.2018.07.037 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 425 Subjects: – SubjectFull: Biomass & the environment Type: general – SubjectFull: Stone pines Type: general – SubjectFull: Simultaneous interpreting Type: general – SubjectFull: Allometry Type: general – SubjectFull: Residual stresses Type: general – SubjectFull: Geodatabases Type: general Titles: – TitleFull: Generalized biomass equations for Stone pine (Pinus pinea L.) across the Mediterranean basin. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Correia, A.C. – PersonEntity: Name: NameFull: Faias, S.P. – PersonEntity: Name: NameFull: Ruiz-Peinado, R. – PersonEntity: Name: NameFull: Chianucci, F. – PersonEntity: Name: NameFull: Cutini, A. – PersonEntity: Name: NameFull: Fontes, L. – PersonEntity: Name: NameFull: Manetti, M.C. – PersonEntity: Name: NameFull: Montero, G. – PersonEntity: Name: NameFull: Soares, P. – PersonEntity: Name: NameFull: Tomé, M. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2018 Type: published Y: 2018 Identifiers: – Type: issn-print Value: 03781127 Numbering: – Type: volume Value: 429 Titles: – TitleFull: Forest Ecology & Management Type: main |
| ResultId | 1 |
