Predicting plant performance for the ecological restoration of grasslands: the role of regenerative traits.
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| Title: | Predicting plant performance for the ecological restoration of grasslands: the role of regenerative traits. |
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| Authors: | Silva, Isis1 (AUTHOR) isisarend@gmail.com, Guido, Anaclara2 (AUTHOR), Müller, Sandra Cristina1 (AUTHOR) |
| Source: | Restoration Ecology. Sep2020, Vol. 28 Issue 5, p1183-1191. 9p. |
| Subjects: | Grassland restoration, Plant performance, Restoration ecology, Greenhouses, Germination, Grasslands |
| Abstract: | Active restoration of grassland ecosystems often requires the addition of species as seeds. However, knowledge of seed germination and initial performance of native species are still lacking in many regions, including the Brazilian grasslands. Regenerative traits (such as seed traits) have the potential to predict performance parameters related to the initial establishment of a species in a given environment. This study aimed to test the potential of regenerative traits as predictors of the performance of grassland species, information which may be useful for ecological restoration purposes. Using 15 grassland species, we carried out three parallel experiments at different conditions: cabinet, greenhouse, and field. Three performance parameters were evaluated: final germination percentage (FGP), germination rate index (GRI), and survival rate. The suitability of seed traits (mass, area, and shape) as predictors of performance parameters was evaluated for each experiment using linear regression models. Performance parameters varied among the species and experiments, but seed mass and shape slightly influenced GRI. Seed area had a positive effect on GRI, and there was a significant interaction between seed circularity and mass, which improved the GRI of round, heavy seeds. FGP and survival rate were not predicted by any of the traits. Our study highlights the importance of testing fitness–trait relationships under field conditions, which may reflect the real challenges species will face in restoration projects. Our results reinforce the need of considering regenerative traits and interaction factors to improve the understanding and prediction of the initial performance of species. [ABSTRACT FROM AUTHOR] |
| Copyright of Restoration Ecology is the property of Wiley-Blackwell 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 |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 146139023 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Predicting plant performance for the ecological restoration of grasslands: the role of regenerative traits. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Silva%2C+Isis%22">Silva, Isis</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> isisarend@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Guido%2C+Anaclara%22">Guido, Anaclara</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Müller%2C+Sandra+Cristina%22">Müller, Sandra Cristina</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Restoration+Ecology%22">Restoration Ecology</searchLink>. Sep2020, Vol. 28 Issue 5, p1183-1191. 9p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Grassland+restoration%22">Grassland restoration</searchLink><br /><searchLink fieldCode="DE" term="%22Plant+performance%22">Plant performance</searchLink><br /><searchLink fieldCode="DE" term="%22Restoration+ecology%22">Restoration ecology</searchLink><br /><searchLink fieldCode="DE" term="%22Greenhouses%22">Greenhouses</searchLink><br /><searchLink fieldCode="DE" term="%22Germination%22">Germination</searchLink><br /><searchLink fieldCode="DE" term="%22Grasslands%22">Grasslands</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Active restoration of grassland ecosystems often requires the addition of species as seeds. However, knowledge of seed germination and initial performance of native species are still lacking in many regions, including the Brazilian grasslands. Regenerative traits (such as seed traits) have the potential to predict performance parameters related to the initial establishment of a species in a given environment. This study aimed to test the potential of regenerative traits as predictors of the performance of grassland species, information which may be useful for ecological restoration purposes. Using 15 grassland species, we carried out three parallel experiments at different conditions: cabinet, greenhouse, and field. Three performance parameters were evaluated: final germination percentage (FGP), germination rate index (GRI), and survival rate. The suitability of seed traits (mass, area, and shape) as predictors of performance parameters was evaluated for each experiment using linear regression models. Performance parameters varied among the species and experiments, but seed mass and shape slightly influenced GRI. Seed area had a positive effect on GRI, and there was a significant interaction between seed circularity and mass, which improved the GRI of round, heavy seeds. FGP and survival rate were not predicted by any of the traits. Our study highlights the importance of testing fitness–trait relationships under field conditions, which may reflect the real challenges species will face in restoration projects. Our results reinforce the need of considering regenerative traits and interaction factors to improve the understanding and prediction of the initial performance of species. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Restoration Ecology is the property of Wiley-Blackwell 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: 10.1111/rec.13182 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 1183 Subjects: – SubjectFull: Grassland restoration Type: general – SubjectFull: Plant performance Type: general – SubjectFull: Restoration ecology Type: general – SubjectFull: Greenhouses Type: general – SubjectFull: Germination Type: general – SubjectFull: Grasslands Type: general Titles: – TitleFull: Predicting plant performance for the ecological restoration of grasslands: the role of regenerative traits. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Silva, Isis – PersonEntity: Name: NameFull: Guido, Anaclara – PersonEntity: Name: NameFull: Müller, Sandra Cristina IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2020 Type: published Y: 2020 Identifiers: – Type: issn-print Value: 10612971 Numbering: – Type: volume Value: 28 – Type: issue Value: 5 Titles: – TitleFull: Restoration Ecology Type: main |
| ResultId | 1 |
