Semiarid grasslands and extreme precipitation events: do experimental results scale to the landscape?
Saved in:
| Title: | Semiarid grasslands and extreme precipitation events: do experimental results scale to the landscape? |
|---|---|
| Authors: | Post, Alison K.1,2 (AUTHOR) akpost@colostate.edu, Davis, Kristin P.1,3 (AUTHOR), LaRoe, Jillian1,4 (AUTHOR), Hoover, David L.5 (AUTHOR), Knapp, Alan K.1,2 (AUTHOR) |
| Source: | Ecology. Sep2021, Vol. 102 Issue 9, p1-8. 8p. |
| Subjects: | Normalized difference vegetation index, Grassland soils, Grazing, Vegetation greenness, Grasslands, Remote-sensing images, Rain gauges, Soil texture |
| Geographic Terms: | Colorado |
| Abstract: | The frequency and magnitude of deluges (extremely large rain events) are increasing globally as the atmosphere warms. Small‐scale experiments suggest that semiarid grasslands are particularly sensitive to both the timing and size of deluge events. However, the assumption that plot‐scale results can be extrapolated across landscapes with variable soil textures, plant communities, and grazing regimes has seldom been tested, despite being key to forecasting regional consequences of precipitation extremes. We used precipitation data from an extensive rain gauge network to identify natural deluges (mean size = 60 ± 31 mm, 1984–2012) that occurred across a ˜60‐km2 heterogeneous native shortgrass steppe landscape in Colorado. We then related spatial variation in deluge precipitation to postdeluge responses in canopy greenness (normalized difference vegetation index, NDVI) via satellite imagery. Consistent with results from experiments, this semiarid grassland was most sensitive to mid–growing‐season deluges, and postdeluge canopy greenness usually increased linearly (67% of the time) with increasing deluge size. This suggests that aboveground productivity in these semiarid systems will likely increase, rather than asymptote, with forecasted increases in deluge size. Importantly, differences in grazing regime did not significantly alter deluge responses, indicating that these patterns are robust to this widespread management practice. [ABSTRACT FROM AUTHOR] |
| Copyright of 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 |
|---|---|
| Header | DbId: egs DbLabel: Engineering Source An: 152209630 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Semiarid grasslands and extreme precipitation events: do experimental results scale to the landscape? – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Post%2C+Alison+K%2E%22">Post, Alison K.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> akpost@colostate.edu</i><br /><searchLink fieldCode="AR" term="%22Davis%2C+Kristin+P%2E%22">Davis, Kristin P.</searchLink><relatesTo>1,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22LaRoe%2C+Jillian%22">LaRoe, Jillian</searchLink><relatesTo>1,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hoover%2C+David+L%2E%22">Hoover, David L.</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Knapp%2C+Alan+K%2E%22">Knapp, Alan K.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Ecology%22">Ecology</searchLink>. Sep2021, Vol. 102 Issue 9, p1-8. 8p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Normalized+difference+vegetation+index%22">Normalized difference vegetation index</searchLink><br /><searchLink fieldCode="DE" term="%22Grassland+soils%22">Grassland soils</searchLink><br /><searchLink fieldCode="DE" term="%22Grazing%22">Grazing</searchLink><br /><searchLink fieldCode="DE" term="%22Vegetation+greenness%22">Vegetation greenness</searchLink><br /><searchLink fieldCode="DE" term="%22Grasslands%22">Grasslands</searchLink><br /><searchLink fieldCode="DE" term="%22Remote-sensing+images%22">Remote-sensing images</searchLink><br /><searchLink fieldCode="DE" term="%22Rain+gauges%22">Rain gauges</searchLink><br /><searchLink fieldCode="DE" term="%22Soil+texture%22">Soil texture</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Colorado%22">Colorado</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The frequency and magnitude of deluges (extremely large rain events) are increasing globally as the atmosphere warms. Small‐scale experiments suggest that semiarid grasslands are particularly sensitive to both the timing and size of deluge events. However, the assumption that plot‐scale results can be extrapolated across landscapes with variable soil textures, plant communities, and grazing regimes has seldom been tested, despite being key to forecasting regional consequences of precipitation extremes. We used precipitation data from an extensive rain gauge network to identify natural deluges (mean size = 60 ± 31 mm, 1984–2012) that occurred across a ˜60‐km2 heterogeneous native shortgrass steppe landscape in Colorado. We then related spatial variation in deluge precipitation to postdeluge responses in canopy greenness (normalized difference vegetation index, NDVI) via satellite imagery. Consistent with results from experiments, this semiarid grassland was most sensitive to mid–growing‐season deluges, and postdeluge canopy greenness usually increased linearly (67% of the time) with increasing deluge size. This suggests that aboveground productivity in these semiarid systems will likely increase, rather than asymptote, with forecasted increases in deluge size. Importantly, differences in grazing regime did not significantly alter deluge responses, indicating that these patterns are robust to this widespread management practice. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of 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.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=152209630 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/ecy.3437 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 8 StartPage: 1 Subjects: – SubjectFull: Normalized difference vegetation index Type: general – SubjectFull: Grassland soils Type: general – SubjectFull: Grazing Type: general – SubjectFull: Vegetation greenness Type: general – SubjectFull: Grasslands Type: general – SubjectFull: Remote-sensing images Type: general – SubjectFull: Rain gauges Type: general – SubjectFull: Soil texture Type: general – SubjectFull: Colorado Type: general Titles: – TitleFull: Semiarid grasslands and extreme precipitation events: do experimental results scale to the landscape? Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Post, Alison K. – PersonEntity: Name: NameFull: Davis, Kristin P. – PersonEntity: Name: NameFull: LaRoe, Jillian – PersonEntity: Name: NameFull: Hoover, David L. – PersonEntity: Name: NameFull: Knapp, Alan K. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2021 Type: published Y: 2021 Identifiers: – Type: issn-print Value: 00129658 Numbering: – Type: volume Value: 102 – Type: issue Value: 9 Titles: – TitleFull: Ecology Type: main |
| ResultId | 1 |
