Deconstructing precipitation variability: Rainfall event size and timing uniquely alter ecosystem dynamics.
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| Title: | Deconstructing precipitation variability: Rainfall event size and timing uniquely alter ecosystem dynamics. |
|---|---|
| Authors: | Griffin‐Nolan, Robert J.1,2 (AUTHOR) rjgriffi@syr.edu, Slette, Ingrid J.1 (AUTHOR), Knapp, Alan K.1 (AUTHOR) |
| Source: | Journal of Ecology. Sep2021, Vol. 109 Issue 9, p3356-3369. 14p. |
| Subjects: | Ecosystem dynamics, Precipitation variability, Ecological disturbances, Ecosystems, Soil moisture, Seasons |
| Abstract: | Water‐limited ecosystems are highly sensitive to not only precipitation amount, but also precipitation pattern, particularly variability in the size and timing of growing season rainfall events. Both rainfall event size and timing are expected to be altered by climate change, but the relative responses of dryland ecosystems to changes in rainfall event size versus timing have not been resolved. Here, we disentangle the effects of these different aspects of precipitation pattern on ecosystem dynamics.We experimentally assessed how these two aspects of rainfall variability impacted a semi‐arid grassland ecosystem by altering an ambient precipitation pattern to eliminate variability in (a) rainfall event size (all events were made the same size), (b) rainfall event timing (all events were uniformly spaced in time) and (c) both. Total precipitation amount was constant for all treatments. We measured responses of soil moisture, ecosystem carbon flux (e.g. net primary production and soil CO2 flux), plant community composition and physiological responses of the dominant C4 grass, Bouteloua gracilis.Removing variability in rainfall event size altered ecosystem dynamics more than a pattern of uniform event timing, but the largest impact occurred when variability in both were removed. Notably, eliminating variability in both event size and timing increased above‐ground net primary productivity by 23%, consistent with reduced water stress in the dominant C4 grass, while also reducing seasonal variability in soil CO2 flux by 35%, reflecting lower seasonal variability in soil moisture.Synthesis. Unique responses to different aspects of precipitation variability highlight the complexity of predicting how dryland ecosystems will be affected by climate change‐induced shifts in rainfall patterns. Our results provide novel support for the key roles of rainfall event size and timing, in addition to total precipitation amount, as determinants of ecosystem function. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal 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 |
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| Header | DbId: egs DbLabel: Engineering Source An: 152468899 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Deconstructing precipitation variability: Rainfall event size and timing uniquely alter ecosystem dynamics. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Griffin‐Nolan%2C+Robert+J%2E%22">Griffin‐Nolan, Robert J.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> rjgriffi@syr.edu</i><br /><searchLink fieldCode="AR" term="%22Slette%2C+Ingrid+J%2E%22">Slette, Ingrid J.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Knapp%2C+Alan+K%2E%22">Knapp, Alan K.</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Ecology%22">Journal of Ecology</searchLink>. Sep2021, Vol. 109 Issue 9, p3356-3369. 14p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Ecosystem+dynamics%22">Ecosystem dynamics</searchLink><br /><searchLink fieldCode="DE" term="%22Precipitation+variability%22">Precipitation variability</searchLink><br /><searchLink fieldCode="DE" term="%22Ecological+disturbances%22">Ecological disturbances</searchLink><br /><searchLink fieldCode="DE" term="%22Ecosystems%22">Ecosystems</searchLink><br /><searchLink fieldCode="DE" term="%22Soil+moisture%22">Soil moisture</searchLink><br /><searchLink fieldCode="DE" term="%22Seasons%22">Seasons</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Water‐limited ecosystems are highly sensitive to not only precipitation amount, but also precipitation pattern, particularly variability in the size and timing of growing season rainfall events. Both rainfall event size and timing are expected to be altered by climate change, but the relative responses of dryland ecosystems to changes in rainfall event size versus timing have not been resolved. Here, we disentangle the effects of these different aspects of precipitation pattern on ecosystem dynamics.We experimentally assessed how these two aspects of rainfall variability impacted a semi‐arid grassland ecosystem by altering an ambient precipitation pattern to eliminate variability in (a) rainfall event size (all events were made the same size), (b) rainfall event timing (all events were uniformly spaced in time) and (c) both. Total precipitation amount was constant for all treatments. We measured responses of soil moisture, ecosystem carbon flux (e.g. net primary production and soil CO2 flux), plant community composition and physiological responses of the dominant C4 grass, Bouteloua gracilis.Removing variability in rainfall event size altered ecosystem dynamics more than a pattern of uniform event timing, but the largest impact occurred when variability in both were removed. Notably, eliminating variability in both event size and timing increased above‐ground net primary productivity by 23%, consistent with reduced water stress in the dominant C4 grass, while also reducing seasonal variability in soil CO2 flux by 35%, reflecting lower seasonal variability in soil moisture.Synthesis. Unique responses to different aspects of precipitation variability highlight the complexity of predicting how dryland ecosystems will be affected by climate change‐induced shifts in rainfall patterns. Our results provide novel support for the key roles of rainfall event size and timing, in addition to total precipitation amount, as determinants of ecosystem function. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal 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.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1111/1365-2745.13724 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 3356 Subjects: – SubjectFull: Ecosystem dynamics Type: general – SubjectFull: Precipitation variability Type: general – SubjectFull: Ecological disturbances Type: general – SubjectFull: Ecosystems Type: general – SubjectFull: Soil moisture Type: general – SubjectFull: Seasons Type: general Titles: – TitleFull: Deconstructing precipitation variability: Rainfall event size and timing uniquely alter ecosystem dynamics. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Griffin‐Nolan, Robert J. – PersonEntity: Name: NameFull: Slette, Ingrid J. – PersonEntity: Name: NameFull: Knapp, Alan K. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2021 Type: published Y: 2021 Identifiers: – Type: issn-print Value: 00220477 Numbering: – Type: volume Value: 109 – Type: issue Value: 9 Titles: – TitleFull: Journal of Ecology Type: main |
| ResultId | 1 |
