Legacies of precipitation fluctuations on primary production: theory and data synthesis
Variability of above-ground net primary production (ANPP) of arid to sub-humid ecosystems displays a closer association with precipitation when considered across space (based on multiyear averages for different locations) than through time (based on year-to-year change at single locations). Here, we...
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| Published in | Philosophical transactions of the Royal Society of London. Series B. Biological sciences Vol. 367; no. 1606; pp. 3135 - 3144 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
England
The Royal Society
19.11.2012
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| Subjects | |
| Online Access | Get full text |
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| Abstract | Variability of above-ground net primary production (ANPP) of arid to sub-humid ecosystems displays a closer association with precipitation when considered across space (based on multiyear averages for different locations) than through time (based on year-to-year change at single locations). Here, we propose a theory of controls of ANPP based on four hypotheses about legacies of wet and dry years that explains space versus time differences in ANPP–precipitation relationships. We tested the hypotheses using 16 long-term series of ANPP. We found that legacies revealed by the association of current- versus previous-year conditions through the temporal series occur across all ecosystem types from deserts to mesic grasslands. Therefore, previous-year precipitation and ANPP control a significant fraction of current-year production. We developed unified models for the controls of ANPP through space and time. The relative importance of current-versus previous-year precipitation changes along a gradient of mean annual precipitation with the importance of current-year PPT decreasing, whereas the importance of previous-year PPT remains constant as mean annual precipitation increases. Finally, our results suggest that ANPP will respond to climate-change-driven alterations in water availability and, more importantly, that the magnitude of the response will increase with time. |
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| AbstractList | Variability of above-ground net primary production (ANPP) of arid to sub-humid ecosystems displays a closer association with precipitation when considered across space (based on multiyear averages for different locations) than through time (based on year-to-year change at single locations). Here, we propose a theory of controls of ANPP based on four hypotheses about legacies of wet and dry years that explains space versus time differences in ANPP-precipitation relationships. We tested the hypotheses using 16 long-term series of ANPP. We found that legacies revealed by the association of current- versus previous-year conditions through the temporal series occur across all ecosystem types from deserts to mesic grasslands. Therefore, previous-year precipitation and ANPP control a significant fraction of current-year production. We developed unified models for the controls of ANPP through space and time. The relative importance of current-versus previous-year precipitation changes along a gradient of mean annual precipitation with the importance of current-year PPT decreasing, whereas the importance of previous-year PPT remains constant as mean annual precipitation increases. Finally, our results suggest that ANPP will respond to climate-change-driven alterations in water availability and, more importantly, that the magnitude of the response will increase with time. Variability of above-ground net primary production (ANPP) of arid to sub-humid ecosystems displays a closer association with precipitation when considered across space (based on multiyear averages for different locations) than through time (based on year-to-year change at single locations). Here, we propose a theory of controls of ANPP based on four hypotheses about legacies of wet and dry years that explains space versus time differences in ANPP-precipitation relationships. We tested the hypotheses using 16 long-term series of ANPP. We found that legacies revealed by the association of current- versus previous-year conditions through the temporal series occur across all ecosystem types from deserts to mesic grasslands. Therefore, previous-year precipitation and ANPP control a significant fraction of current-year production. We developed unified models for the controls of ANPP through space and time. The relative importance of current-versus previous-year precipitation changes along a gradient of mean annual precipitation with the importance of current-year PPT decreasing, whereas the importance of previous-year PPT remains constant as mean annual precipitation increases. Finally, our results suggest that ANPP will respond to climate-change-driven alterations in water availability and, more importantly, that the magnitude of the response will increase with time.Variability of above-ground net primary production (ANPP) of arid to sub-humid ecosystems displays a closer association with precipitation when considered across space (based on multiyear averages for different locations) than through time (based on year-to-year change at single locations). Here, we propose a theory of controls of ANPP based on four hypotheses about legacies of wet and dry years that explains space versus time differences in ANPP-precipitation relationships. We tested the hypotheses using 16 long-term series of ANPP. We found that legacies revealed by the association of current- versus previous-year conditions through the temporal series occur across all ecosystem types from deserts to mesic grasslands. Therefore, previous-year precipitation and ANPP control a significant fraction of current-year production. We developed unified models for the controls of ANPP through space and time. The relative importance of current-versus previous-year precipitation changes along a gradient of mean annual precipitation with the importance of current-year PPT decreasing, whereas the importance of previous-year PPT remains constant as mean annual precipitation increases. Finally, our results suggest that ANPP will respond to climate-change-driven alterations in water availability and, more importantly, that the magnitude of the response will increase with time. |
| Author | Reichmann, Lara Jobbágy, Esteban Sala, Osvaldo E. Gherardi, Laureano A. Peters, Debra |
| AuthorAffiliation | 3 Grupo de Estudios Ambientales, IMASL , CONICET and Universidad Nacional de San Luis , San Luis , Argentina 4 US Department of Agriculture-Agricultural Research Service, Las Cruces, NM , USA 1 School of Sustainability , Arizona State University , Tempe, AZ , USA 2 School of Life Sciences , Arizona State University , Tempe, AZ , USA |
| AuthorAffiliation_xml | – name: 4 US Department of Agriculture-Agricultural Research Service, Las Cruces, NM , USA – name: 1 School of Sustainability , Arizona State University , Tempe, AZ , USA – name: 3 Grupo de Estudios Ambientales, IMASL , CONICET and Universidad Nacional de San Luis , San Luis , Argentina – name: 2 School of Life Sciences , Arizona State University , Tempe, AZ , USA |
| Author_xml | – sequence: 1 fullname: Sala, Osvaldo E – sequence: 2 fullname: Gherardi, Laureano A – sequence: 3 fullname: Reichmann, Lara – sequence: 4 fullname: Jobbágy, Esteban – sequence: 5 fullname: Peters, Debra |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/23045711$$D View this record in MEDLINE/PubMed |
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| SubjectTerms | atmospheric precipitation Carbon Cycle Climate Change deserts Drought Droughts Ecoregions Ecosystem Ecosystem models Ecosystems Geography grasslands Legacies Models, Biological Plant Leaves - chemistry Plant Roots - chemistry Plants Poaceae - chemistry Precipitation Effects Primary Production Primary productivity Review Spatial And Temporal Models Spatial models Statistics as Topic - methods Terrestrial ecosystems Time Factors Water - chemistry |
| Title | Legacies of precipitation fluctuations on primary production: theory and data synthesis |
| URI | https://api.istex.fr/ark:/67375/V84-GP8QLWKV-K/fulltext.pdf https://www.jstor.org/stable/41740044 https://royalsocietypublishing.org/doi/full/10.1098/rstb.2011.0347 https://www.ncbi.nlm.nih.gov/pubmed/23045711 https://www.proquest.com/docview/1095632625 https://www.proquest.com/docview/1446285642 https://www.proquest.com/docview/1554953926 https://pubmed.ncbi.nlm.nih.gov/PMC3479688 |
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