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CHAPTER TWO - Methodology I: Detecting and predicting grassland change

Published online by Cambridge University Press:  22 March 2019

David J. Gibson
Affiliation:
Southern Illinois University, Carbondale
Jonathan A. Newman
Affiliation:
University of Guelph, Ontario
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Publisher: Cambridge University Press
Print publication year: 2019

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References

2.6 References

Gibson, DJ. Grasses and grassland ecology. Oxford, UK: Oxford University Press; 2009.Google Scholar
Adler, PB, HilleRisLambers, J. The influence of climate and species composition on the population dynamics of ten prairie forbs. Ecology. 2008;89(11):3049–60.CrossRefGoogle ScholarPubMed
Hopkins, D, Waite, I, McNicol, J, Poulton, P, Macdonald, A, O’Donnell, A. Soil organic carbon contents in long‐term experimental grassland plots in the UK (Palace Leas and Park Grass) have not changed consistently in recent decades. Global Change Biology. 2009;15(7):1739–54.CrossRefGoogle Scholar
Foster, GL, Royer, DL, Lunt, DJ. Future climate forcing potentially without precedent in the last 420 million years. Nature Communications. 2017;8.Google Scholar
Ehrenberg, AS, Bound, JA. Predictability and prediction. Journal of the Royal Statistical Society A. 1993;156(2):167206.CrossRefGoogle Scholar
Moher, D, Liberati, A, Tetzlaff, J, Altman, DG, Group, P. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Medicine. 2009;6(7):6.Google Scholar
Hager, HA, Newman, JA. Methodology I: Detecting and projecting grassland change: from plots to landscape. Scholars Portal Dataverse, http://dxdoiorg/105683/SP/7TYFGE. 2018.Google Scholar
Gurevitch, J, Hedges, LV. Statistical issues in ecological meta-analyses. Ecology. 1999;80(4):1142–9.Google Scholar
Olson, DM, Dinerstein, E, Wikramanayake, ED, Burgess, ND, Powell, GVN, Underwood, EC, et al. Terrestrial ecoregions of the world: a new map of life on Earth. BioScience. 2001;51(11):933–8.Google Scholar
Cadotte, MW, Mehrkens, LR, Menge, DNL. Gauging the impact of meta-analysis on ecology. Evolutionary Ecology. 2012;26(5):1153–67.Google Scholar
Vines, TH, Andrew, RL, Bock, DG, Franklin, MT, Gilbert, KJ, Kane, NC, et al. Mandated data archiving greatly improves access to research data. FASEB Journal. 2013;27(4):1304–8.Google Scholar
Gibson, DJ, Austin, AT, Bardgett, RD, Rees, M, Baier, A, Sandhu, L. Journal of Ecology news. Journal of Ecology. 2014;102(1):13.CrossRefGoogle Scholar
Strong, DR, Baldwin, JD. Editorial. Ecology. 2005;86:1.Google Scholar
Whitlock, MC. Data archiving in ecology and evolution: best practices. Trends in Ecology and Evolution. 2011;26(2):61–5.Google Scholar
Roche, DG, Kruuk, LEB, Lanfear, R, Binning, SA. Public data archiving in ecology and evolution: how well are we doing? PLoS Biology. 2015;13(11).CrossRefGoogle ScholarPubMed
Dieleman, WIJ, Vicca, S, Dijkstra, FA, Hagedorn, F, Hovenden, MJ, Larsen, KS, et al. Simple additive effects are rare: a quantitative review of plant biomass and soil process responses to combined manipulations of CO2 and temperature. Global Change Biology. 2012;18(9):2681–93.Google Scholar
Wu, ZT, Dijkstra, P, Koch, GW, Penuelas, J, Hungate, BA. Responses of terrestrial ecosystems to temperature and precipitation change: a meta-analysis of experimental manipulation. Global Change Biology. 2011;17(2):927–42.CrossRefGoogle Scholar
Bai, E, Li, SL, Xu, WH, Li, W, Dai, WW, Jiang, P. A meta-analysis of experimental warming effects on terrestrial nitrogen pools and dynamics. New Phytologist. 2013;199(2):441–51.CrossRefGoogle ScholarPubMed
DeMalach, N, Zaady, E, Kadmon, R. Contrasting effects of water and nutrient additions on grassland communities: a global meta-analysis. Global Ecology and Biogeography. 2017;26(8):983–92.CrossRefGoogle Scholar
Dumont, B, Andueza, D, Niderkorn, V, Luscher, A, Porqueddu, C, Picon-Cochard, C. A meta-analysis of climate change effects on forage quality in grasslands: specificities of mountain and Mediterranean areas. Grass and Forage Science. 2015;70(2):239–54.Google Scholar
Fu, G, Shen, Z-X, Sun, W, Zhong, Z-M, Zhang, X-Z, Zhou, Y-T. A meta-analysis of the effects of experimental warming on plant physiology and growth on the Tibetan Plateau. Journal of Plant Growth Regulation. 2015;34(1):5765.CrossRefGoogle Scholar
Lee, M, Manning, P, Rist, J, Power, SA, Marsh, C. A global comparison of grassland biomass responses to CO2 and nitrogen enrichment. Philosophical Transactions of the Royal Society of London B. 2010;365(1549):2047–56.CrossRefGoogle ScholarPubMed
Rustad, L, Campbell, J, Marion, G, Norby, R, Mitchell, M, Hartley, A, et al. A meta-analysis of the response of soil respiration, net nitrogen mineralization, and aboveground plant growth to experimental ecosystem warming. Oecologia. 2001;126(4):543–62.CrossRefGoogle ScholarPubMed
Sillen, WMA, Dieleman, WIJ. Effects of elevated CO2 and N fertilization on plant and soil carbon pools of managed grasslands: a meta-analysis. Biogeosciences. 2012;9(6):2247–58.CrossRefGoogle Scholar
Wand, SJ, Midgley, G, Jones, MH, Curtis, PS. Responses of wild C4 and C3 grass (Poaceae) species to elevated atmospheric CO2 concentration: a meta‐analytic test of current theories and perceptions. Global Change Biology. 1999;5(6):723–41.Google Scholar
Wang, X, Liu, L, Piao, S, Janssens, IA, Tang, J, Liu, W, et al. Soil respiration under climate warming: differential response of heterotrophic and autotrophic respiration. Global Change Biology. 2014;20(10):3229–37.Google Scholar
Wellstein, C, Poschlod, P, Gohlke, A, Chelli, S, Campetella, G, Rosbakh, S, et al. Effects of extreme drought on specific leaf area of grassland species: a meta-analysis of experimental studies in temperate and sub-Mediterranean systems. Global Change Biology. 2017;23(6):2473–81.Google Scholar
Xu, WF, Yuan, WP, Dong, WJ, Xia, JZ, Liu, D, Chen, Y. A meta-analysis of the response of soil moisture to experimental warming. Environmental Research Letters. 2013;8(4).Google Scholar
Zhang, XZ, Shen, ZX, Fu, G. A meta-analysis of the effects of experimental warming on soil carbon and nitrogen dynamics on the Tibetan Plateau. Applied Soil Ecology. 2015;87:32–8.CrossRefGoogle Scholar
Zhou, XH, Zhou, LY, Nie, YY, Fu, YL, Du, ZG, Shao, JJ, et al. Similar responses of soil carbon storage to drought and irrigation in terrestrial ecosystems but with contrasting mechanisms: a meta-analysis. Agriculture, Ecosystems & Environment. 2016;228:7081.Google Scholar
Underwood, N, Hambäck, P, Inouye, B. Large-scale questions and small-scale data: empirical and theoretical methods for scaling up in ecology. Oecologia. 2005;145(2):176–7.Google Scholar
Petersen, JE, Englund, G. Dimensional approaches to designing better experimental ecosystems: a practitioners guide with examples. Oecologia. 2005;145(2):215–23.Google Scholar
Srivastava, DS. Do local processes scale to global patterns? The role of drought and the species pool in determining treehole insect diversity. Oecologia. 2005;145(2):204–14.Google Scholar
Bausell, RB, Li, Y-F. Power analysis for experimental research: a practical guide for the biological, medical and social sciences. Cambridge: Cambridge University Press; 2002.Google Scholar
Kreyling, J, Schweiger, AH, Bahn, M, Ineson, P, Migliavacca, M, Morel-Journel, T, et al. To replicate, or not to replicate – that is the question: how to tackle nonlinear responses in ecological experiments. Ecology Letters. 2008;21(11):1629–38.Google Scholar
Meinshausen, M, Smith, SJ, Calvin, K, Daniel, JS, Kainuma, M, Lamarque, J-F, et al. The RCP greenhouse gas concentrations and their extensions from 1765 to 2300. Climatic Change. 2011;109(1–2):213.Google Scholar

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