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Regional grassland productivity responses to precipitation during multiyear above‐ and below‐average rainfall periods
Authors:Matthew D. Petrie  Debra P. C. Peters  Jin Yao  John M. Blair  Nathan D. Burruss  Scott L. Collins  Justin D. Derner  Laureano A. Gherardi  John R. Hendrickson  Osvaldo E. Sala  Patrick J. Starks  Jean L. Steiner
Affiliation:1. Department of Plant & Environmental Sciences, New Mexico State University, Las Cruces, NM, USA;2. Jornada Basin LTER Program, New Mexico State University, Las Cruces, NM, USA;3. United States Department of Agriculture – Agricultural Research Service, Jornada Experimental Range, Las Cruces, NM, USA;4. Division of Biology, Kansas State University, Manhattan, KS, USA;5. Department of Biology, University of New Mexico, Albuquerque, NM, USA;6. United States Department of Agriculture – Agricultural Research Service, Rangeland Resources and Systems Research Unit, Cheyenne, WY, USA;7. School of Life Sciences, Arizona State University, Tempe, AZ, USA;8. United States Department of Agriculture – Agricultural Research Service, Northern Great Plains Research Laboratory, Mandan, ND, USA;9. School of Sustainability, Arizona State University, Tempe, AZ, USA;10. United States Department of Agriculture – Agricultural Research Service, Grazinglands Research Laboratory, El Reno, OK, USA
Abstract:There is considerable uncertainty in the magnitude and direction of changes in precipitation associated with climate change, and ecosystem responses are also uncertain. Multiyear periods of above‐ and below‐average rainfall may foretell consequences of changes in rainfall regime. We compiled long‐term aboveground net primary productivity (ANPP) and precipitation (PPT) data for eight North American grasslands, and quantified relationships between ANPP and PPT at each site, and in 1–3 year periods of above‐ and below‐average rainfall for mesic, semiarid cool, and semiarid warm grassland types. Our objective was to improve understanding of ANPP dynamics associated with changing climatic conditions by contrasting PPT–ANPP relationships in above‐ and below‐average PPT years to those that occurred during sequences of multiple above‐ and below‐average years. We found differences in PPT–ANPP relationships in above‐ and below‐average years compared to long‐term site averages, and variation in ANPP not explained by PPT totals that likely are attributed to legacy effects. The correlation between ANPP and current‐ and prior‐year conditions changed from year to year throughout multiyear periods, with some legacy effects declining, and new responses emerging. Thus, ANPP in a given year was influenced by sequences of conditions that varied across grassland types and climates. Most importantly, the influence of prior‐year ANPP often increased with the length of multiyear periods, whereas the influence of the amount of current‐year PPT declined. Although the mechanisms by which a directional change in the frequency of above‐ and below‐average years imposes a persistent change in grassland ANPP require further investigation, our results emphasize the importance of legacy effects on productivity for sequences of above‐ vs. below‐average years, and illustrate the utility of long‐term data to examine these patterns.
Keywords:climate change  grassland dynamics  grassland productivity  legacy effects  precipitation
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