دورية أكاديمية
أعرض في EDS

Biotic vs abiotic controls on temporal sensitivity of primary production to precipitation across North American drylands.

التفاصيل البيبلوغرافية
العنوان: Biotic vs abiotic controls on temporal sensitivity of primary production to precipitation across North American drylands.
المؤلفون: Felton AJ; Department of Wildland Resources and The Ecology Center, Utah State University, Logan, UT, 84322, USA., Shriver RK; Department of Wildland Resources and The Ecology Center, Utah State University, Logan, UT, 84322, USA.; US Geological Survey, Southwest Biological Science Center, Flagstaff, AZ, 86001, USA.; Department of Natural Resources and Environmental Science, University of Nevada, Reno, Reno, NV, 89557, USA., Bradford JB; US Geological Survey, Southwest Biological Science Center, Flagstaff, AZ, 86001, USA., Suding KN; Department of Ecology and Evolutionary Biology, Institute of Arctic and Alpine Research, University of Colorado Boulder, Boulder, CO, 80309, USA., Allred BW; W.A. Franke College of Forestry and Conservation, University of Montana, Missoula, MT, 59812, USA., Adler PB; Department of Wildland Resources and The Ecology Center, Utah State University, Logan, UT, 84322, USA.
المصدر: The New phytologist [New Phytol] 2021 Sep; Vol. 231 (6), pp. 2150-2161. Date of Electronic Publication: 2021 Jul 02.
نوع المنشور: Journal Article; Research Support, U.S. Gov't, Non-P.H.S.
اللغة: English
بيانات الدورية: Publisher: Wiley on behalf of New Phytologist Trust Country of Publication: England NLM ID: 9882884 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1469-8137 (Electronic) Linking ISSN: 0028646X NLM ISO Abbreviation: New Phytol Subsets: MEDLINE
أسماء مطبوعة: Publication: Oxford : Wiley on behalf of New Phytologist Trust
Original Publication: London, New York [etc.] Academic Press.
مواضيع طبية MeSH: Climate Change* , Ecosystem*, Climate ; North America
مستخلص: Dryland net primary productivity (NPP) is sensitive to temporal variation in precipitation (PPT), but the magnitude of this 'temporal sensitivity' varies spatially. Hypotheses for spatial variation in temporal sensitivity have often emphasized abiotic factors, such as moisture limitation, while overlooking biotic factors, such as vegetation structure. We tested these hypotheses using spatiotemporal models fit to remote-sensing data sets to assess how vegetation structure and climate influence temporal sensitivity across five dryland ecoregions of the western USA. Temporal sensitivity was higher in locations and ecoregions dominated by herbaceous vegetation. By contrast, much less spatial variation in temporal sensitivity was explained by mean annual PPT. In fact, ecoregion-specific models showed inconsistent associations of sensitivity and PPT; whereas sensitivity decreased with increasing mean annual PPT in most ecoregions, it increased with mean annual PPT in the most arid ecoregion, the hot deserts. The strong, positive influence of herbaceous vegetation on temporal sensitivity indicates that herbaceous-dominated drylands will be particularly sensitive to future increases in precipitation variability and that dramatic changes in cover type caused by invasions or shrub encroachment will lead to changes in dryland NPP dynamics, perhaps independent of changes in precipitation.
(© 2021 The Authors New Phytologist © 2021 New Phytologist Foundation.)
References: Adler PB, Seabloom EW, Borer ET, Hillebrand H, Hautier Y, Hector A, Harpole WS, O'Halloran LR, Grace JB, Anderson TM et al. 2011. Productivity is a poor predictor of plant species richness. Science 333: 1750-1753.
Allred BW, Bestelmeyer BT, Boyd CS, Brown C, Davies KW, Duniway MC, Ellsworth LM, Erickson TA, Fuhlendorf SD, Griffiths TV et al. 2021. Improving Landsat predictions of rangeland fractional cover with multitask learning and uncertainty. Methods in Ecology and Evolution 12: 841-849.
Baldocchi DD, Xu L, Kiang N. 2004. How plant functional-type, weather, seasonal drought, and soil physical properties alter water and energy fluxes of an oak-grass savanna and an annual grassland. Agricultural and Forest Meteorology 123: 13-39.
Bansal S, Sheley RL. 2016. Annual grass invasion in sagebrush steppe: the relative importance of climate, soil properties and biotic interactions. Oecologia 181: 543-557.
Barbeta A, Ogaya R, Peñuelas J. 2013. Dampening effects of long-term experimental drought on growth and mortality rates of a holm oak forest. Global Change Biology 19: 3133-3144.
Barger NN, Archer SR, Campbell JL, Huang C, Morton JA, Knapp AK. 2011. Woody plant proliferation in North American drylands: a synthesis of impacts on ecosystem carbon balance. Journal of Geophysical Research 116: G00K07.
Biederman JA, Scott RL, Bell TW, Bowling DR, Dore S, Garatuza-Payan J, Kolb TE, Krishnan P, Krofcheck DJ, Litvak ME et al. 2017. CO2 exchange and evapotranspiration across dryland ecosystems of southwestern North America. Global Change Biology 23: 4204-4221.
Bradford JB, Schlaepfer DR, Lauenroth WK, Palmquist KA. 2020. Robust ecological drought projections for drylands in the 21st century. Global Change Biology 26: 3906-3919.
Briggs JM, Knapp AK. 1995. Interannual variability in primary production in tallgrass prairie: climate, soil moisture, topographic position, and fire as determinants of aboveground biomass. American Journal of Botany 82: 1024-1030.
Briggs JM, Knapp AK, Blair JM, Heisler JL, Hoch GA, Lett MS, McCarron JK. 2005. An ecosystem in transition: causes and consequences of the conversion of mesic grassland to shrubland. BioScience 55: 243-254.
Chen M, Parton WJ, Hartman MD, Del Grosso SJ, Smith WK, Knapp AK, Lutz S, Derner JD, Tucker CJ, Ojima DS et al. 2019. Assessing precipitation, evapotranspiration, and NDVI as controls of U.S. Great Plains plant production. Ecosphere 10: e02889.
Churkina G, Running SW. 1998. Contrasting climatic controls on the estimated productivity of global terrestrial biomes. Ecosystems 1: 206-215.
Cleland EE, Collins SL, Dickson TL, Farrer EC, Gross KL, Gherardi LA, Hallett LM, Hobbs RJ, Hsu JS, Turnbull L et al. 2013. Sensitivity of grassland plant community composition to spatial vs. temporal variation in precipitation. Ecology 94: 1687-1696.
Collins SL, Koerner SE, Plaut JA, Okie JG, Brese D, Calabrese LB, Carvajal A, Evansen RJ, Nonaka E. 2012. Stability of tallgrass prairie during a 19-year increase in growing season precipitation: long-term irrigation in native tallgrass prairie. Functional Ecology 26: 1450-1459.
Cook BI, Ault TR, Smerdon JE. 2015. Unprecedented 21st century drought risk in the American Southwest and Central Plains. Science Advances 1: e1400082.
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 Phytologist 171: 81-89.
Dodd MB, Lauenroth WK, Welker JM. 1998. Differential water resource use by herbaceous and woody plant life-forms in a shortgrass steppe community. Oecologia 117: 504-512.
Dumanjug CF, Barrios EB, Lansangan JRG. 2010. Bootstrap procedures in a spatial-temporal model. Journal of Statistical Computation and Simulation 80: 809-822.
Eskelinen A, Harrison SP. 2015. Resource colimitation governs plant community responses to altered precipitation. Proceedings of the National Academy of Sciences, USA 112: 13009-13014.
Estiarte M, Vicca S, Peñuelas J, Bahn M, Beier C, Emmett BA, Fay PA, Hanson PJ, Hasibeder R, Kigel J et al. 2016. Few multiyear precipitation-reduction experiments find a shift in the productivity-precipitation relationship. Global Change Biology 22: 2570-2581.
Felton AJ, Knapp AK, Smith MD. 2021. Precipitation-productivity relationships and the duration of precipitation anomalies: an underappreciated dimension of climate change. Global Change Biology 27: 1127-1140.
Felton AJ, Zavislan-Pullaro S, Smith MD. 2019. Semiarid ecosystem sensitivity to precipitation extremes: weak evidence for vegetation constraints. Ecology 100: e02572.
Fernández RJ. 2007. On the frequent lack of response of plants to rainfall events in arid areas. Journal of Arid Environments 68: 688-691.
Fleischer K, Rammig A, De Kauwe MG, Walker AP, Domingues TF, Fuchslueger L, Garcia S, Goll DS, Grandis A, Jiang M et al. 2019. Amazon forest response to CO2 fertilization dependent on plant phosphorus acquisition. Nature Geoscience 12: 736-741.
Fridley JD. 2017. Plant energetics and the synthesis of population and ecosystem ecology. Journal of Ecology 105: 95-110.
Gaitán JJ, Oliva GE, Bran DE, Maestre FT, Aguiar MR, Jobbágy EG, Buono GG, Ferrante D, Nakamatsu VB, Ciari G et al. 2014. Vegetation structure is as important as climate for explaining ecosystem function across Patagonian rangelands. Journal of Ecology 102: 1419-1428.
Gherardi LA, Sala OE. 2015. Enhanced precipitation variability decreases grass and increases shrub-productivity. Proceedings of the National Academy of Sciences, USA 112: 12735-12740.
Gherardi LA, Sala OE. 2019. Effect of interannual precipitation variability on dryland productivity: a global synthesis. Global Change Biology 25: 269-276.
Green JK, Seneviratne SI, Berg AM, Findell KL, Hagemann S, Lawrence DM, Gentine P. 2019. Large influence of soil moisture on long-term terrestrial carbon uptake. Nature 565: 476-479.
Harpole WS, Potts DL, Suding KN. 2007. Ecosystem responses to water and nitrogen amendment in a California grassland. Global Change Biology 13: 2341-2348.
Haverd V, Smith B, Trudinger C. 2016. Dryland vegetation response to wet episode, not inherent shift in sensitivity to rainfall, behind Australia's role in 2011 global carbon sink anomaly. Global Change Biology 22: 2315-2316.
Heisler-White JL, Knapp AK, Kelly EF. 2008. Increasing precipitation event size increases aboveground net primary productivity in a semi-arid grassland. Oecologia 158: 129-140.
Hooper DU, Johnson L. 1999. Nitrogen limitation in dryland ecosystems: responses to geographical and temporal variation in precipitation. Biogeochemistry 46: 247-293.
Hoover DL, Bestelmeyer B, Grimm NB, Huxman TE, Reed SC, Sala O, Seastedt TR, Wilmer H, Ferrenberg S. 2020. Traversing the wasteland: a framework for assessing ecological threats to drylands. BioScience 70: 35-47.
Hu Z, Guo Q, Li S, Piao S, Knapp AK, Ciais P, Li X, Yu G. 2018. Shifts in the dynamics of productivity signal ecosystem state transitions at the biome-scale. Ecology Letters 21: 1457-1466.
Huxman TE, Smith MD, Fay PA, Knapp AK, Shaw MR, Loik ME, Smith SD, Tissue DT, Zak JC, Weltzin JF et al. 2004. Convergence across biomes to a common rain-use efficiency. Nature 429: 651-654.
Intergovernmental Panel on Climate Change, ed. 2014. Climate change 2013 - the physical science basis: working group I contribution to the fifth assessment report of the Intergovernmental Panel on Climate Change. Cambridge, UK: Cambridge University Press.
Jones MO, Allred BW, Naugle DE, Maestas JD, Donnelly P, Metz LJ, Karl J, Smith R, Bestelmeyer B, Boyd C et al. 2018. Innovation in rangeland monitoring: annual, 30 m, plant functional type percent cover maps for U.S. rangelands, 1984-2017. Ecosphere 9: e02430.
Kleinhesselink AR, Adler PB. 2018. The response of big sagebrush (Artemisia tridentata) to interannual climate variation changes across its range. Ecology 99: 1139-1149.
Klesse S, DeRose RJ, Babst F, Black BA, Anderegg LDL, Axelson J, Ettinger A, Griesbauer H, Guiterman CH, Harley G et al. 2020. Continental-scale tree-ring-based projection of Douglas-fir growth: testing the limits of space-for-time substitution. Global Change Biology 26: 5146-5163.
Knapp AK, Smith MD. 2001. Variation among biomes in temporal dynamics of aboveground primary production. Science 291: 481-484.
Knapp AK, Carroll CJW, Denton EM, La Pierre KJ, Collins SL, Smith MD. 2015. Differential sensitivity to regional-scale drought in six central US grasslands. Oecologia 177: 949-957.
Knapp AK, Ciais P, Smith MD. 2017. Reconciling inconsistencies in precipitation-productivity relationships: implications for climate change. New Phytologist 214: 41-47.
Küchler AW. 1964. Potential natural vegetation of the conterminous United States. American Geographical Society Special Publication No. 36. New York, NY, USA: American Geographical Society.
Kulmatiski A, Adler PB, Foley KM. 2020. Hydrologic niches explain species coexistence and abundance in a shrub-steppe system. Journal of Ecology 108: 998-1008.
Lane DR, Coffin DP, Lauenroth WK. 2000. Changes in grassland canopy structure across a precipitation gradient. Journal of Vegetation Science 11: 359-368.
Lauenroth WK, Sala OE. 1992. Long-term forage production of North American shortgrass steppe. Ecological Applications 2: 397-403.
Lauenroth WK, Schlaepfer DR, Bradford JB. 2014. Ecohydrology of dry regions: storage versus pulse soil water dynamics. Ecosystems 17: 1469-1479.
Livneh B, Bohn TJ, Pierce DW, Munoz-Arriola F, Nijssen B, Vose R, Cayan DR, Brekke L. 2015. A spatially comprehensive, hydrometeorological data set for Mexico, the U.S., and southern Canada 1950-2013. Scientific Data 2: e150042.
Livneh B, Rosenberg EA, Lin C, Nijssen B, Mishra V, Andreadis KM, Maurer EP, Lettenmaier DP. 2013. A long-term hydrologically based dataset of land surface fluxes and states for the conterminous United States: update and extensions. Journal of Climate 26: 9384-9392.
Mattfeldt T, Häbel H, Fleischer F. 2013. Block bootstrap methods for the estimation of the intensity of a spatial point process with confidence bounds. Journal of Microscopy 251: 84-98.
Maurer GE, Hallmark AJ, Brown RF, Sala OE, Collins SL. 2020. Sensitivity of primary production to precipitation across the United States. Ecology Letters 23: 527-536.
Nagy RC, Fusco EJ, Balch JK, Finn JT, Mahood A, Allen JM, Bradley BA. 2021. A synthesis of the effects of cheatgrass invasion on US Great Basin carbon storage. Journal of Applied Ecology 58: 327-337.
Nippert JB, Wieme RA, Ocheltree TW, Craine JM. 2012. Root characteristics of C4 grasses limit reliance on deep soil water in tallgrass prairie. Plant and Soil 355: 385-394.
Noy-Meir I. 1973. Desert ecosystems: environment and producers. Annual Review of Ecology and Systematics 4: 25-51.
Parton W, Morgan J, Smith D, Del Grosso S, Prihodko L, LeCain D, Kelly R, Lutz S. 2012. Impact of precipitation dynamics on net ecosystem productivity. Global Change Biology 18: 915-927.
Petrie MD, Collins SL, Swann AM, Ford PL, Litvak ME. 2015. Grassland to shrubland state transitions enhance carbon sequestration in the northern Chihuahuan Desert. Global Change Biology 21: 1226-1235.
Post AK, Knapp AK. 2020. The importance of extreme rainfall events and their timing in a semi-arid grassland. Journal of Ecology 108: 2431-2443.
Poulter B, Frank D, Ciais P, Myneni RB, Andela N, Bi J, Broquet G, Canadell JG, Chevallier F, Liu YY et al. 2014. Contribution of semi-arid ecosystems to interannual variability of the global carbon cycle. Nature 509: 600-603.
Prăvălie R. 2016. Drylands extent and environmental issues. A global approach. Earth-Science Reviews 161: 259-278.
R Core Team. 2020. R: a language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. [WWW document] URL https://www.R-project.org/ [accessed 10 October 2020].
Reichmann LG, Sala OE, Peters DPC. 2013. Precipitation legacies in desert grassland primary production occur through previous-year tiller density. Ecology 94: 435-443.
Reidmiller DR, Avery CW, Easterling DR, Kunkel KE, Lewis KLM, Maycock TK, Stewart BC. 2018. Fourth National Climate Assessment. Volume II: impacts, risks, and adaptation in the United States. Washington, DC, USA: US Global Change Research Program.
Robinson NP, Allred BW, Smith WK, Jones MO, Moreno A, Erickson TA, Naugle DE, Running SW. 2018. Terrestrial primary production for the conterminous United States derived from Landsat 30 m and MODIS 250 m. Remote Sensing in Ecology and Conservation 4: 264-280.
Robinson NP, Jones MO, Moreno A, Erickson TA, Naugle DE, Allred BW. 2019. Rangeland productivity partitioned to sub-pixel plant functional types. Remote Sensing 11: e1427.
Running SW, Nemani RR, Heinsch FA, Zhao M, Reeves M, Hashimoto H. 2004. A continuous satellite-derived measure of global terrestrial primary production. BioScience 54: 547-560.
Sala OE, Gherardi LA, Reichmann L, Jobbágy E, Peters D. 2012. Legacies of precipitation fluctuations on primary production: theory and data synthesis. Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences 367: 3135-3144.
Sala OE, Lauenroth WK. 1982. Small rainfall events: an ecological role in semiarid regions. Oecologia 53: 301-304.
Sala OE, Lauenroth WK, Golluscio RA. 1997. Plant functional types in temperate semi-arid regions. In: Smith TM, Shugart HH, Woodward FI, eds. Plant functional types: their relevance to ecosystem properties and global change. Cambridge, UK: Cambridge University Press, 217-233.
Sala OE, Parton WJ, Joyce LA, Lauenroth WK. 1988. Primary production of the central grassland region of the United States. Ecology 69: 40-45.
Schlaepfer DR, Lauenroth WK, Bradford JB. 2012. Ecohydrological niche of sagebrush ecosystems. Ecohydrology 5: 453-466.
Stahlheber KA, D'Antonio CM. 2014. Do tree canopies enhance perennial grass restoration in California oak savannas? Restoration Ecology 22: 574-581.
Sun Y, Frankenberg C, Wood JD, Schimel DS, Jung M, Guanter L, Drewry DT, Verma M, Porcar-Castell A, Griffis TJ et al. 2017. OCO-2 advances photosynthesis observation from space via solar-induced chlorophyll fluorescence. Science 358: eaam5747.
Swain DL, Langenbrunner B, Neelin JD, Hall A. 2018. Increasing precipitation volatility in twenty-first-century California. Nature Climate Change 8: 427-433.
Tredennick AT, Kleinhesselink AR, Taylor JB, Adler PB. 2018. Ecosystem functional response across precipitation extremes in a sagebrush steppe. PeerJ 6: e4485.
Wilcox KR, Blair JM, Smith MD, Knapp AK. 2015. Does ecosystem sensitivity to precipitation at the site-level conform to regional-scale predictions? Ecology 97: 561-568.
Winkler DE, Belnap J, Hoover D, Reed SC, Duniway MC. 2019. Shrub persistence and increased grass mortality in response to drought in dryland systems. Global Change Biology 25: 3121-3135.
Wu D, Ciais P, Viovy N, Knapp AK, Wilcox K, Bahn M, Smith MD, Vicca S, Fatichi S, Zscheischler J et al. 2018. Asymmetric responses of primary productivity to altered precipitation simulated by ecosystem models across three long-term grassland sites. Biogeosciences 15: 3421-3437.
Yahdjian L, Gherardi L, Sala OE. 2011. Nitrogen limitation in arid-subhumid ecosystems: a meta-analysis of fertilization studies. Journal of Arid Environments 75: 675-680.
Yahdjian L, Sala OE. 2006. Vegetation structure constrains primary production response to water availability in the Patagonian steppe. Ecology 87: 952-962.
Yan D, Scott RL, Moore DJP, Biederman JA, Smith WK. 2019. Understanding the relationship between vegetation greenness and productivity across dryland ecosystems through the integration of PhenoCam, satellite, and eddy covariance data. Remote Sensing of Environment 223: 50-62.
Ye J-S, Pei J-Y, Fang C. 2018. Under which climate and soil conditions the plant productivity-precipitation relationship is linear or nonlinear? Science of the Total Environment 616-617: 1174-1180.
فهرسة مساهمة: Keywords: climate sensitivity; dryland ecosystems; net primary productivity; precipitation; spatial-temporal relationships
تواريخ الأحداث: Date Created: 20210609 Date Completed: 20210826 Latest Revision: 20210826
رمز التحديث: 20231215
DOI: 10.1111/nph.17543
PMID: 34105783
قاعدة البيانات: MEDLINE
الوصف
تدمد:1469-8137
DOI:10.1111/nph.17543