Legacies of precipitation influence primary production in Panicum virgatum.
Bud banks
Precipitation variability
Rainfall manipulation
Switchgrass
Tiller dynamics
Journal
Oecologia
ISSN: 1432-1939
Titre abrégé: Oecologia
Pays: Germany
ID NLM: 0150372
Informations de publication
Date de publication:
Jan 2023
Jan 2023
Historique:
received:
09
04
2022
accepted:
31
10
2022
pubmed:
14
11
2022
medline:
7
1
2023
entrez:
13
11
2022
Statut:
ppublish
Résumé
Precipitation is a key driver of primary production worldwide, but primary production does not always track year-to-year variation in precipitation linearly. Instead, plant responses to changes in precipitation may exhibit time lags, or legacies of past precipitation. Legacies can be driven by multiple mechanisms, including persistent changes in plant physiological and morphological traits and changes to the physical environment, such as plant access to soil water. We used three precipitation manipulation experiments in central Texas, USA to evaluate the magnitude, duration, and potential mechanisms driving precipitation legacies on aboveground primary production of the perennial C
Identifiants
pubmed: 36372830
doi: 10.1007/s00442-022-05281-x
pii: 10.1007/s00442-022-05281-x
doi:
Substances chimiques
Soil
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
269-278Subventions
Organisme : Division of Integrative Organismal Systems
ID : 0922457
Organisme : Division of Integrative Organismal Systems
ID : 1444533
Organisme : Biological and Environmental Research
ID : DE-SC0014156
Informations de copyright
© 2022. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.
Références
Adkins J, Jastrow JD, Morris GP, Six J, de Graaff M-A (2016) Effects of switchgrass cultivars and intraspecific differences in root structure on soil carbon inputs and accumulation. Geoderma 262:147–154. https://doi.org/10.1016/j.geoderma.2015.08.019
doi: 10.1016/j.geoderma.2015.08.019
Arnold PA, Kruuk LEB, Nicotra AB (2019) How to analyse plant phenotypic plasticity in response to a changing climate. New Phytol 222:1235–1241. https://doi.org/10.1111/nph.15656
doi: 10.1111/nph.15656
Aspinwall MJ, Lowry DB, Taylor SH, Juenger TE, Hawkes CV, Johnson M-VV et al (2013) Genotypic variation in traits linked to climate and aboveground productivity in a widespread C
doi: 10.1111/nph.12341
Aspinwall MJ, Fay PA, Hawkes CV, Lowry DB, Khasanova A, Bonnette J et al (2017) Intraspecific variation in precipitation responses of a widespread C
doi: 10.1093/jpe/rtw040
Barney JN, Mann JJ, Kyser GB, Blumwald E, Van Deynze A, DiTomaso JM (2009) Tolerance of switchgrass to extreme soil moisture stress: ecological implications. Plant Sci 177:724–732. https://doi.org/10.1016/j.plantsci.2009.09.003
doi: 10.1016/j.plantsci.2009.09.003
Bruce TJA, Matthes MC, Napier JA, Pickett JA (2007) Stressful “memories” of plants: evidence and possible mechanisms. Plant Sci 173:603–608. https://doi.org/10.1016/j.plantsci.2007.09.002
doi: 10.1016/j.plantsci.2007.09.002
Carter DL, VanderWeide BL, Blair JM (2012) Drought-mediated stem and below-ground bud dynamics in restored grasslands. Appl Veg Sci 15:470–478. https://doi.org/10.1111/j.1654-109X.2012.01200.x
doi: 10.1111/j.1654-109X.2012.01200.x
Casler MD (2012) Switchgrass Breeding, Genetics, and Genomics. In: Monti A (ed) Switchgrass: a valuable biomass crop for energy. Springer, London, pp 29–53
doi: 10.1007/978-1-4471-2903-5_2
Cavagnaro TR (2016) Soil moisture legacy effects: Impacts on soil nutrients, plants and mycorrhizal responsiveness. Soil Biol Biochem 95:173–179. https://doi.org/10.1016/j.soilbio.2015.12.016
doi: 10.1016/j.soilbio.2015.12.016
Crawford KM, Hawkes CV (2020) Soil precipitation legacies influence intraspecific plant–soil feedback. Ecology 101:e03142. https://doi.org/10.1002/ecy.3142
doi: 10.1002/ecy.3142
Dalgleish HJ, Hartnett DC (2006) Below-ground bud banks increase along a precipitation gradient of the North American Great Plains: a test of the meristem limitation hypothesis. New Phytol 171:81–89. https://doi.org/10.1111/j.1469-8137.2006.01739.x
doi: 10.1111/j.1469-8137.2006.01739.x
Felton AJ, Knapp AK, Smith MD (2021a) Precipitation–productivity relationships and the duration of precipitation anomalies: an underappreciated dimension of climate change. Glob Change Biol 27:1127–1140. https://doi.org/10.1111/gcb.15480
doi: 10.1111/gcb.15480
Felton AJ, Shriver RK, Bradford JB, Suding KN, Allred BW, Adler PB (2021b) Biotic vs abiotic controls on temporal sensitivity of primary production to precipitation across North American drylands. New Phytol 231:2150–2161. https://doi.org/10.1111/nph.17543
doi: 10.1111/nph.17543
Gherardi LA, Sala OE (2019) Effect of interannual precipitation variability on dryland productivity: a global synthesis. Glob Change Biol 25:269–276. https://doi.org/10.1111/gcb.14480
doi: 10.1111/gcb.14480
Gong Y-H, Zhao D-M, Ke W-B, Fang C, Pei J-Y, Sun G-J et al (2020) Legacy effects of precipitation amount and frequency on the aboveground plant biomass of a semi-arid grassland. Sci Total Environ 705:135899. https://doi.org/10.1016/j.scitotenv.2019.135899
doi: 10.1016/j.scitotenv.2019.135899
Hawkes CV, Kiniry JR (2018) Legacies in switchgrass resistance to and recovery from drought suggest that good years can sustain plants through bad years. BioEnergy Res 11:86–94. https://doi.org/10.1007/s12155-017-9879-7
doi: 10.1007/s12155-017-9879-7
Heckman RW, Khasanova AR, Johnson NS, Weber S, Bonnette JE, Aspinwall MJ et al (2020) Plant biomass, not plant economics traits, determines responses of soil CO
doi: 10.1111/1365-2745.13382
Hoover DL, Pfennigwerth AA, Duniway MC (2021) Drought resistance and resilience: the role of soil moisture–plant interactions and legacies in a dryland ecosystem. J Ecol 109:3280–3294. https://doi.org/10.1111/1365-2745.13681
doi: 10.1111/1365-2745.13681
Hou E, Litvak ME, Rudgers JA, Jiang L, Collins SL, Pockman WT et al (2021) Divergent responses of primary production to increasing precipitation variability in global drylands. Glob Change Biol 27:5225–5237. https://doi.org/10.1111/gcb.15801
doi: 10.1111/gcb.15801
Huxman TE, Smith MD, Fay PA, Knapp AK, Shaw MR, Loik ME et al (2004) Convergence across biomes to a common rain-use efficiency. Nature 429:651–654. https://doi.org/10.1038/nature02561
doi: 10.1038/nature02561
Knapp AK, Smith MD (2001) Variation among biomes in temporal dynamics of aboveground primary production. Science 291:481–484. https://doi.org/10.1126/science.291.5503.481
doi: 10.1126/science.291.5503.481
Knapp AK, Beier C, Briske DD, Classen AT, Luo Y, Reichstein M et al (2008) Consequences of more extreme precipitation regimes for terrestrial ecosystems. Bioscience 58:811–821. https://doi.org/10.1641/B580908
doi: 10.1641/B580908
Knapp AK, Avolio ML, Beier C, Carroll CJW, Collins SL, Dukes JS et al (2017a) Pushing precipitation to the extremes in distributed experiments: recommendations for simulating wet and dry years. Glob Change Biol 23:1774–1782. https://doi.org/10.1111/gcb.13504
doi: 10.1111/gcb.13504
Knapp AK, Ciais P, Smith MD (2017b) Reconciling inconsistencies in precipitation–productivity relationships: implications for climate change. New Phytol 214:41–47. https://doi.org/10.1111/nph.14381
doi: 10.1111/nph.14381
Kröel-Dulay G, Mojzes A, Szitár K, Bahn M, Batáry P, Beier C et al (2022) Field experiments underestimate aboveground biomass response to drought. Nat Ecol Evol. https://doi.org/10.1038/s41559-022-01685-3
doi: 10.1038/s41559-022-01685-3
Lefcheck JS (2016) piecewiseSEM: Piecewise structural equation modelling in R for ecology, evolution, and systematics. Methods Ecol Evol 7:573–579. https://doi.org/10.1111/2041-210X.12512
doi: 10.1111/2041-210X.12512
Lenth R (2018) emmeans: Estimated marginal means, aka least-squares means, vol. 1, R package version 1.3.0 edn, https://CRAN.R-project.org/package=emmeans
Lovell JT, Shakirov EV, Schwartz S, Lowry DB, Aspinwall MJ, Taylor SH et al (2016) Promises and challenges of eco-physiological genomics in the field: tests of drought responses in switchgrass. Plant Physiol 172:734–748. https://doi.org/10.1104/pp.16.00545
doi: 10.1104/pp.16.00545
Lovell JT, MacQueen AH, Mamidi S, Bonnette J, Jenkins J, Napier JD et al (2021) Genomic mechanisms of climate adaptation in polyploid bioenergy switchgrass. Nature 590:438–444. https://doi.org/10.1038/s41586-020-03127-1
doi: 10.1038/s41586-020-03127-1
Martin-Benito D, Anchukaitis KJ, Evans MN, Del Río M, Beeckman H, Cañellas I (2017) Effects of drought on xylem anatomy and water-use efficiency of two co-occurring pine species. Forests 8:332. https://doi.org/10.3390/f8090332
doi: 10.3390/f8090332
Noy-Meir I (1973) Desert ecosystems: environment and producers. Annu Rev Ecol Syst 4:25–51. https://doi.org/10.1146/annurev.es.04.110173.000325
doi: 10.1146/annurev.es.04.110173.000325
Ott JP, Klimešová J, Hartnett DC (2019) The ecology and significance of below-ground bud banks in plants. Ann Bot 123:1099–1118. https://doi.org/10.1093/aob/mcz051
doi: 10.1093/aob/mcz051
Pinheiro J, Bates D, DebRoy S, Sarkar D (2016) nlme: linear and nonlinear mixed effects models. R Package Version 3:1–127
Qian J, Guo Z, Muraina TO, Te N, Griffin-Nolan RJ, Song L et al (2022) Legacy effects of a multi-year extreme drought on belowground bud banks in rhizomatous vs bunchgrass-dominated grasslands. Oecologia 198:763–771. https://doi.org/10.1007/s00442-022-05133-8
doi: 10.1007/s00442-022-05133-8
R Core Team (2022) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna
Reichmann LG, Sala OE, Peters DPC (2013) Precipitation legacies in desert grassland primary production occur through previous-year tiller density. Ecology 94:435–443. https://doi.org/10.1890/12-1237.1
doi: 10.1890/12-1237.1
Sala OE, Gherardi LA, Reichmann L, Jobbágy E, Peters D (2012) Legacies of precipitation fluctuations on primary production: theory and data synthesis. Philos Trans R Soc B Biol Sci 367:3135–3144. https://doi.org/10.1098/rstb.2011.0347
doi: 10.1098/rstb.2011.0347
Semenov MA, Brooks RJ, Barrow EM, Richardson CW (1998) Comparison of the WGEN and LARS-WG stochastic weather generators for diverse climates. Climate Res 10:95–107. https://doi.org/10.3354/cr010095
doi: 10.3354/cr010095
Shipley B, Lechowicz MJ, Wright I, Reich PB (2006) Fundamental trade-offs generating the worldwide leaf economics spectrum. Ecology 87:535–541. https://doi.org/10.1890/05-1051
doi: 10.1890/05-1051
VanderWeide BL, Hartnett DC, Carter DL (2014) Belowground bud banks of tallgrass prairie are insensitive to multi-year, growing-season drought. Ecosphere. https://doi.org/10.1890/ES14-00058.1
doi: 10.1890/ES14-00058.1
Yahdjian L, Sala OE (2006) Vegetation structure constrains primary production response to water availability in the Patagonian steppe. Ecology 87:952–962. https://doi.org/10.1890/0012-9658(2006)87[952:VSCPPR]2.0.CO;2
doi: 10.1890/0012-9658(2006)87[952:VSCPPR]2.0.CO;2