Abstract
The metaecosystem framework has been proposed to conceptualize the interactive effects of dispersal and resource flows on the structure and functioning of communities in a heterogeneous environment. Here, we model a two-patch metaecosystem where two species with a trade-off in resource requirements compete for two limiting resources—generalizing the so-called gradostat experimental setup. We study the competition outcome in dependence of resource heterogeneity and between-patch diffusion for different combinations of resource supply ratios. Our numerical simulations show that community composition and local and regional diversity are determined by the interplay of resource heterogeneity, resource supply stoichiometry, and diffusion rate. High resource heterogeneity increases regional diversity, with species coexisting due to spatial segregation, whereas low resource heterogeneity favors local diversity, as species coexist mainly by local resource partitioning. Regional diversity averaged across a gradient of resource ratios decreases monotonically with diffusion rate, while local diversity follows a unimodal dependency. However, these dependencies become bimodal for high resource heterogeneity because various bistable states occur at intermediate diffusion rates. We identify three kinds of bistable states with species priority effect: (i) bistability between the dominance of one or the other competitor, (ii) bistability between one species dominance or species coexistence, and (iii) two alternative coexistence regimes differing in species-relative abundances. Most bistable states appear at high resource levels when biomass fluxes strongly interact with resource fluxes. Our analysis provides new insights for the potential effects of metaecosystem dynamics on biodiversity patterns.
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Abrams PA, Wilson WG (2004) Coexistence of competitors in metacommunities due to spatial variation in resource growth rates; does R * predict the outcome of competition? Ecol Lett 7:929–940. https://doi.org/10.1111/j.1461-0248.2004.00644.x
Arrigo KR (2005) Marine microorganisms and global nutrient cycles. Nature 437:349–355. https://doi.org/10.1038/nature04159
Baxter CV, Fausch KD, Murakami M, Chapman PL (2004) Fish invasion restructures stream and forest food webs by interrupting reciprocal prey subsidies. Ecology 85:2656–2663. https://doi.org/10.1890/04-138
Cadotte MW (2006) Dispersal and species diversity: a meta-analysis. Am Nat 167:913–924
Chesson P (2000) Mechanisms of maintenance of species diversity. Annu Rev Ecol Syst 31:343–366
Codeço CT, Grover JP, DeAngelis AEDL (2001) Competition along a spatial gradient of resource supply: a microbial experimental model. Am Nat 157:300–315. https://doi.org/10.1086/319195
Gounand I, Mouquet N, Canard E et al (2014) The paradox of enrichment in metaecosystems. Am Nat 184:752–763. https://doi.org/10.1086/678406
Gounand I, Harvey E, Ganesanandamoorthy P, Altermatt F (2017) Subsidies mediate interactions between communities across space. Oikos 126:972–979. https://doi.org/10.1111/oik.03922
Gratton C, Zanden MJV (2009) Flux of aquatic insect productivity to land: comparison of lentic and lotic ecosystems. Ecology 90:2689–2699. https://doi.org/10.1890/08-1546.1
Gravel D, Guichard F, Loreau M, Mouquet N (2010a) Source and sink dynamics in meta-ecosystems. Ecology 91:2172–2184. https://doi.org/10.1890/09-0843.1
Gravel D, Mouquet N, Loreau M, Guichard F (2010b) Patch dynamics, persistence, and species coexistence in metaecosystems. Am Nat 176:289–302. https://doi.org/10.1086/655426
Gravel D, Massol F, Leibold MA (2016) Stability and complexity in model meta-ecosystems. Nat Commun 7:12457–12458. https://doi.org/10.1038/ncomms12457
Gross K, Cardinale BJ (2007) Does species richness drive community production or vice versa? Reconciling historical and contemporary paradigms in competitive communities. Am Nat 170:207–220. https://doi.org/10.1086/518950
Grover JP (1997) Resource Competition. https://link.springer.com/book/10.1007%2F978-1-4615-6397-6. Accessed 26 Aug 2017
Gülzow N, Wahlen Y, Hillebrand H (2018) Metaecosystem dynamics of marine phytoplankton alters resource use efficiency along stoichiometric gradients. Am Nat:000–000. https://doi.org/10.1086/700835
Haegeman B, Loreau M (2014) General relationships between consumer dispersal, resource dispersal and metacommunity diversity. Ecol Lett 17:175–184. https://doi.org/10.1111/ele.12214
Haegeman B, Loreau M (2015) A graphical-mechanistic approach to spatial resource competition. Am Nat 185:E1–E13. https://doi.org/10.1086/679066
Herbert DA, Rastetter EB, Gough L, Shaver GR (2004) Species diversity across nutrient gradients: an analysis of resource competition in model ecosystems. Ecosystems 7:296–310. https://doi.org/10.1007/s10021-003-0233-x
Hillebrand H, Matthiessen B (2009) Biodiversity in a complex world: consolidation and progress in functional biodiversity research. Ecol Lett 12:1405–1419. https://doi.org/10.1111/j.1461-0248.2009.01388.x
Hodapp D, Hillebrand H, Blasius B, Ryabov AB (2016) Environmental and trait variability constrain community structure and the biodiversity-productivity relationship. Ecology 97:1463–1474. https://doi.org/10.1890/15-0730.1
Huisman J, Weissing FJ (1994) Light-limited growth and competition for light in well-mixed aquatic environments: an elementary model. Ecology 75:507–520
Leibold MA, Holyoak M, Mouquet N et al (2004) The metacommunity concept: a framework for multi-scale community ecology. Ecol Lett 7:601–613. https://doi.org/10.1111/j.1461-0248.2004.00608.x
Leinster T, Cobbold CA (2012) Measuring diversity: the importance of species similarity. Ecology 93:477–489. https://doi.org/10.1890/10-2402.1
León JA, Tumpson DB (1975) Competition between two species for two complementary or substitutable resources. J Theor Biol 50:185–201. https://doi.org/10.1016/0022-5193(75)90032-6
Limberger R, Birtel J, Farias DDS, Matthews B (2017) Ecosystem flux and biotic modification as drivers of metaecosystem dynamics. Ecology 98:1082–1092. https://doi.org/10.1002/ecy.1742
Loreau M, Mouquet N, Gonzalez A (2003a) Biodiversity as spatial insurance in heterogeneous landscapes. Proc Natl Acad Sci 100:12765–12770. https://doi.org/10.1073/pnas.2235465100
Loreau M, Mouquet N, Holt RD (2003b) Meta-ecosystems: a theoretical framework for a spatial ecosystem ecology. Ecol Lett 6:673–679. https://doi.org/10.1046/j.1461-0248.2003.00483.x
Lovitt RW, Wimpenny JWT (1981) The gradostat: a bidirectional compound chemostat and its application in microbiological research. Microbiology 127:261
Marleau JN, Guichard F, Loreau M (2015) Emergence of nutrient co-limitation through movement in stoichiometric meta-ecosystems. Ecol Lett 18:1163–1173. https://doi.org/10.1111/ele.12495
Martines IP, Kojouharov HV, Grover JP (2013) Nutrient recycling and allelopathy in a gradostat. Comput Math Appl 66:1613–1626. https://doi.org/10.1016/j.camwa.2013.02.005
Moore CM, Mills MM, Arrigo KR et al (2013) Processes and patterns of oceanic nutrient limitation. Nat Geosci 6:701–710. https://doi.org/10.1038/ngeo1765
Mouquet N, Loreau M (2003) Community patterns in source-sink metacommunities. Am Nat 162:544–557. https://doi.org/10.1086/378857
Mouquet N, Moore JL, Loreau M (2002) Plant species richness and community productivity: why the mechanism that promotes coexistence matters. Ecol Lett 5:56–65. https://doi.org/10.1046/j.1461-0248.2002.00281.x
Mouquet N, Miller TE, Daufresne T, Kneitel JM (2006) Consequences of varying regional heterogeneity in source–sink metacommunities. Oikos 113:481–488. https://doi.org/10.1111/j.2006.0030-1299.14582.x
Pickett STA, Cadenasso ML (1995) Landscape ecology: spatial heterogeneity in ecological systems. Science 269:331–334. https://doi.org/10.1126/science.269.5222.331
Riesch R, Plath M, Bierbach D (2018) Ecology and evolution along environmental gradients. Curr Zool 64:193–196. https://doi.org/10.1093/cz/zoy015
Ryabov AB, Blasius B (2011) A graphical theory of competition on spatial resource gradients. Ecol Lett 14:220–228. https://doi.org/10.1111/j.1461-0248.2010.01574.x
Ryabov AB, Blasius B (2014) Depth of the biomass maximum affects the rules of resource competition in a water column. Am Nat 184:E132–E146. https://doi.org/10.1086/677544
Ryabov AB, Rudolf L, Blasius B (2010) Vertical distribution and composition of phytoplankton under the influence of an upper mixed layer. J Theor Biol 263:120–133. https://doi.org/10.1016/j.jtbi.2009.10.034
Shurin JB, Amarasekare P, Chase JM et al (2004) Alternative stable states and regional community structure. J Theor Biol 227:359–368
Tilman D (1980) Resources: a graphical-mechanistic approach to competition and predation. Am Nat 116:362–393. https://doi.org/10.2307/2463311
Tilman D (1982) Resource competition and community structure. Princeton University Press
Tilman D (1985) The resource-ratio hypothesis of plant succession. Am Nat 125:827–852
Tilman D, Isbell F, Cowles JM (2014) Biodiversity and ecosystem functioning. Annu Rev Ecol Evol Syst 45:471–493. https://doi.org/10.1146/annurev-ecolsys-120213-091917
Wilson DS (1992) Complex interactions in metacommunities, with implications for biodiversity and higher levels of selection. Ecology 73:1984–2000. https://doi.org/10.2307/1941449
Acknowledgments
I.T. acknowledges support from Deutsche Forschungsgemeinschaft (DFG), project GZ: RY 143/1-1. ABR acknowledges the Lower Saxony Ministry for Science and Culture, project POSER.
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Fig. S1
Representation of the competitors by their R∗ values in the resource supplies plane. The dashed lines are the zero net growth isoclines (ZNGI) of species 1 (blue) and species 2 (red). The diagonal dotted line from the top-left to the bottom-right is the set of 60 resource supply ratios used to calculate species 2 relative biomass in Fig. 4, and aggregated regional and local diversity in Fig. 6. The red circles indicate the three specific resource supply ratios used for calculation of the biodiversity in Fig. 7. (PDF 100 kb)
Figure S2
The full diagram of competition outcomes under strong heterogeneous conditions without between-patch diffusion. Numbers indicate the competition outcomes in each patch (patch A/patch B): 0 means no species survives, 1 means species 1 wins, 2 means that species 2 wins, and 1,2 means local coexistence. The regional coexistence occurs when species are present at different patches, e.g. 2/1. The black dashed rectangular indicates the part of the full diagram shown in Fig. 2B. (PDF 117 kb)
Figure S3
Species biomass distribution for various competition outcomes. (Left panels) The competition outcomes under strongly heterogeneous conditions for low (k = 0.02), intermediate (k = 0.1) and high (k = 0.45) diffusion rates (same as Fig. 3B, D, F). (Right panels) the species biomasses in each patch for the various resource combinations, marked by roman numeral in the left panes, and different initial conditions (1st column: when species 1 is the resident and species 2 invades, 2nd column: the opposite invasion sequence). (PDF 183 kb)
Figure S4
Effects of resource heterogeneity and diffusion rate on (A) Community R∗ values and (B) total average biomass. The community R∗ was calculated as the minimal resource supply levels of resources (at the balanced resource ratio) needed for survival of at least one of the competitors. The total biomass was the averaged along a gradient of resource supply ratios along the diagonal from the top-left to down-right of resource planes (Fig. S1). (PDF 161 kb)
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Tsakalakis, I., Blasius, B. & Ryabov, A. Resource competition and species coexistence in a two-patch metaecosystem model. Theor Ecol 13, 209–221 (2020). https://doi.org/10.1007/s12080-019-00442-w
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DOI: https://doi.org/10.1007/s12080-019-00442-w