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Elevation alters ecosystem properties across temperate treelines globally

Abstract

Temperature is a primary driver of the distribution of biodiversity as well as of ecosystem boundaries1,2. Declining temperature with increasing elevation in montane systems has long been recognized as a major factor shaping plant community biodiversity, metabolic processes, and ecosystem dynamics3,4. Elevational gradients, as thermoclines, also enable prediction of long-term ecological responses to climate warming5,6,7. One of the most striking manifestations of increasing elevation is the abrupt transitions from forest to treeless alpine tundra8. However, whether there are globally consistent above- and belowground responses to these transitions remains an open question4. To disentangle the direct and indirect effects of temperature on ecosystem properties, here we evaluate replicate treeline ecotones in seven temperate regions of the world. We find that declining temperatures with increasing elevation did not affect tree leaf nutrient concentrations, but did reduce ground-layer community-weighted plant nitrogen, leading to the strong stoichiometric convergence of ground-layer plant community nitrogen to phosphorus ratios across all regions. Further, elevation-driven changes in plant nutrients were associated with changes in soil organic matter content and quality (carbon to nitrogen ratios) and microbial properties. Combined, our identification of direct and indirect temperature controls over plant communities and soil properties in seven contrasting regions suggests that future warming may disrupt the functional properties of montane ecosystems, particularly where plant community reorganization outpaces treeline advance.

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Figure 1: Ecosystem N/P from seven temperate regions in relation to elevation from treeline.
Figure 2: Ecosystem patterns among specific plant and soil N and P pools along the elevational gradients.
Figure 3: Representations of cascading relationships among above- and belowground ecosystem components to elevation-associated temperature effects.
Figure 4: Decomposition of the total variability in cover-weighted foliar N and P concentrations (cwN, cwP) (mass basis) for the ground-layer plant community.

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Acknowledgements

We thank Y. Amagai, B. Andersson, C. Arnoldi, P. Bellingham, Å. Boily, B. Case, G. Crutsinger, M. Dawes, W. Gilliam, K. Gundale, N. Hendershot, H. Hall, M. Hotter, J. Lundholm, P. Manning, C. McClure, Q. Read, B. Roskilly, A. Shimokawabe, D. Stöhr, and B. Turner for laboratory, logistical, or field assistance. This work was made possible by a Wallenberg Scholars Award to D.A.W.; regional support from Fondecyt 1120171 to A.F.; a National Science Foundation Dimensions of Biodiversity grant (NSF-1136703), a grant from the Carlsberg Fund, and support from the Danish National Research Foundation to the Center for Macroecology, Evolution, and Climate to N.J.S.; a US Department of Energy, Office of Science, Office of Biological and Environmental Research, Terrestrial Ecosystem Sciences Program Award (DE-SC0010562) to A.T.C.; support from the UK Natural Environment Research Council to R.D.B.; support from the BiodivERsA project REGARDS (ANR-12-EBID-004-01) to J.-C.C., S.L., K.G. and REGARDS (FWF-I-1056) to M.B. support from the Netherlands Organization for Scientific Research (VENI 451-14-017) to D.L.O.; and, support from the Natural Sciences and Engineering Research Council of Canada to Z.G.

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Contributions

R.D.B., A.T.C., N.J.S., S.L., J.R.M., M.K.S., and D.A.W. designed the study; D.A.W. acquired the funding needed to initiate the study; J.-C.C., D.L.O., C.C., and M.K.S. provided specialized laboratory or statistical assistance; J.R.M. oversaw field work in each region with R.D.B., M.B., A.T.C., E.C., A.F., K.G., Z.G., G.K., S.L., N.J.S., M.K.S., and D.A.W. contributing to subsets of field sampling; J.R.M. wrote the first draft of the manuscript in close consultation with D.A.W., and all authors contributed to manuscript completion and revision.

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Correspondence to Jordan R. Mayor.

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Reviewer Information Nature thanks M. Macias-Fauria and the other anonymous reviewer(s) for their contribution to the peer review of this work.

Extended data figures and tables

Extended Data Figure 1 Response of forest structure and tree nutrient concentrations to 150 m of increasing elevation, terminating at treeline.

Smoothing curves graphically illustrate trends for each of the seven regions; symbols represent individual plots (n = 101), P values (F statistics in brackets) represent overall effects of elevation from treeline, n.s., non-significant. a, Regionally significant decline in tree canopy height and (b) tree basal area. c, Regionally significant increases of stem density, particularly for southern hemisphere forests dominated by members of the Nothofagaceae. d, Regionally significant increases in basal area weighted tree foliar N (mass basis). e, Regionally non-significant responses of basal area weighted tree foliar P (mass basis). f, Regionally non-significant responses of basal area weighted tree foliar N/P. R2m is defined as being conditional on only the fixed effects, and R2c is defined as conditional on both the random effects of transect nested within region and the fixed effects. Test statistics from linear mixed effect models for stand characteristics and nutrient concentrations of all regions are given in Supplementary Tables 3 and 4.

Extended Data Figure 2 Representative photographs of treelines along elevational gradient transects in each of the seven regions sampled in this study.

Details of each region are given in Supplementary Table 1.

Extended Data Figure 3 Coefficient of variation (s.d./mean × 100 across regions) of cover-weighted ground-layer plant foliar N/P and total root N/P in relation to elevational groups relative to treeline position.

Blue markers are means (±1 s.e.m.), grey bars are 95% confidence intervals. a, Significant decline of ground-layer plant N/P is evidence of stoichiometric convergence of community foliar N/P across regions in the colder alpine environments (slope of solid regression line = −4.15; R2 = 0.79, P = 0.0176, F = 15.18; R2 = 0.92 for dotted regression line in alpine). b, Root N/P, by contrast, was greatest just above the treeline and did not significantly decline with increasing elevation except in alpine (R2 = 0.95 for dotted regression line in alpine).

Extended Data Figure 4 The coupled relationship between [N] and [P] pools (mass basis) in foliage of community-weighted ground-layer plants and surface roots across all regions.

a, Foliar versus root N. b, Foliar versus root P. Statistical P values (F values) are given for mixed-effect linear regressions where foliar N and P is predicted by root N or P. Most informative models also included region, vegetative community (forest versus alpine), and the random effect of transect. Inclusion of vegetative community substantially increased model fits (that is, Akaike information criteria values decreased by ≥19), highlighting the large influence of tree roots on the resulting relationships. Comparable relationships with elevation from treeline provided for reference.

Extended Data Figure 5 Abundance-weighted net relatedness index values of understorey plant communities across elevations, grouped by region.

The net relatedness index does not increase systematically with elevation (F = 1.64, P = 0.25; best-fit linear mixed-effect model with region specified as a random effect), as would be expected if plant communities were phylogenetically clustered at higher elevations.

Extended Data Figure 6 Relationship between dominance (the inverse of evenness) and elevation.

Dominance does not systematically vary with elevation (F = 1.18, P = 0.29; best-fit linear mixed-effect model with region specified as a random effect), as would be expected if plant communities became composed of more dominant species at higher elevations; n = 6 mean values for each elevational level apart from Australia (n = 5).

Extended Data Figure 7 Non-metric multidimensional scaling analysis of phylogenetic community structure of all ground-layer plants across sites.

Stress = 0.15. Sites are displayed and dashed ellipses depict standard errors of all points grouped by region. PERMANOVA results of the Bray–Curtis dissimilarities for taxonomic (data not shown) and phylogenetic community composition yielded a significant difference between vegetative categories (alpine versus forest) (pseudo-F = 1.44, P = 0.001 and pseudo-F = 1.32, P = 0.003, respectively). However, multivariate dispersion of above versus below treeline communities did not differ significantly for taxonomic (F = 0.074, P = 0.79) or phylogenetic (F = 1.35, P = 0.25) composition overall, and comparisons of above versus below treeline communities within each region were found to be non-significant apart from differences in phylogenetic dispersion in Colorado and Patagonia, where communities showed greater divergence above treeline than below (P < 0.01); n = 6 mean values for each elevational level apart from Australia (n = 5).

Extended Data Figure 8 Regional responses of selected microbial and soil properties to elevational gradients.

The seven regions are arranged from low to high concentrations of total PLFAs. Smoothing curves graphically illustrate covariance of soil properties within each of the seven regions. a, Total microbial PLFA. b, Bacterial PLFA. c, Fungal PLFA. d, Actinomycete PLFA. e, Microbial SIR. f, Soil pH. g, SOM. Significant fixed effects of elevation from treeline (E), vegetative community (V, forest or alpine), or their interactions based on a linear mixed-effect models are given. •P ≤ 0.10, *P < 0.050, **P < 0.001, ***P < 0.0001.

Extended Data Figure 9 RDA of PLFA biomarker-based microbial community composition in relation to soil environmental properties across all regions.

Black, biomarker identity; blue, soil properties. Fungi are represented by 18:2ω6,9, actinomycetes are represented by10Me17:0 and 10Me18:0, and all remaining PLFAs represent bacteria. a, Resulting RDA axes (soil pH dropped in stepwise model reduction) explains 85.9% (axis 1) and 93.4% (axes 1 + 2), respectively, of the total variation in all species–environment relationships. b, When SOM is incorporated as a covariate to evaluate how remaining variance in PLFA biomarkers responds to the remaining statistically significant soil variables, 64.0% (axis 1) and 87.2% (axes 1 + 2) of the total variation is explained in all species–environment relationships. TotP, total soil P on a volumetric basis; N/Pmin, soil mineral N to Bray-extractable P ratios; C/N, total soil carbon to nitrogen ratios.

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Mayor, J., Sanders, N., Classen, A. et al. Elevation alters ecosystem properties across temperate treelines globally. Nature 542, 91–95 (2017). https://doi.org/10.1038/nature21027

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