Trait-based ecology claims to offer a mechanistic approach for explaining the drivers that structure biological diversity and predicting the responses of species, trophic interactions and ecosystems to environmental change. However, support for this claim is lacking across broad taxonomic groups. A framework for defining ecosystem processes in terms of the functional traits of their constituent taxa across large spatial scales is needed. Here, we provide a comprehensive assessment of the linkages between climate, plant traits and soil microbial traits at many sites spanning a broad latitudinal temperature gradient from tropical to subalpine forests. Our results show that temperature drives coordinated shifts in most plant and soil bacterial traits but these relationships are not observed for most fungal traits. Shifts in plant traits are mechanistically associated with soil bacterial functional traits related to carbon (C), nitrogen (N) and phosphorus (P) cycling, indicating that microbial processes are tightly linked to variation in plant traits that influence rates of ecosystem decomposition and nutrient cycling. Our results are consistent with hypotheses that diversity gradients reflect shifts in phenotypic optima signifying local temperature adaptation mediated by soil nutrient availability and metabolism. They underscore the importance of temperature in structuring the functional diversity of plants and soil microbes in forest ecosystems and how this is coupled to biogeochemical processes via functional traits.
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Raw sequencing data have been deposited in the NCBI Sequence Read Archive under accession code PRJNA308872. The OTU tables and microarray data presented are available at http://www.ou.edu/ieg/publications/datasets. Additional data files and r-scripts are available at https://osf.io/thjxs/. Community-weighted mean trait data are available as Supplementary Data 1–3.
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We thank the members of the LTER Network and the Smithsonian Tropical Research Institute—Barro Colorado Island who participated in data collection. We thank C. Sides, T. Birt, L. Sloat, A. Henderson, J. Messier and B. Blonder for field assistance with vegetation sampling. We thank J. Wright for assistance with sampling at Barro Colorado Island. We also thank E. Brodie for helpful comments on earlier drafts. Funding for this study was provided by the US National Science Foundation MacroSystems Biology program NSF EF-1065844.
The authors declare no competing interests.
Publisher’s note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Figs. 1–7, Box 1, Tables 1–6 and references.
All abundance weighted plant functional trait data for each community (plot). Site codes definitions are AND, HJ Andrews Experimental forest; BCI, Barro Colorado Island; CWT, Coweeta LTER; HFR, Harvard Forest; LUQ, Luquillo LTER; NWT, Niwot Ridge LTER with each plot labelled 1-5 at each site. Abund represents the abundance of woody plants observed within each plot. All traits are measured locally.
All abundance weighted fungal functional trait data for each community (plot). Site codes definitions are AND, HJ Andrews Experimental forest; BCI, Barro Colorado Island; CWT, Coweeta LTER; HFR, Harvard Forest; LUQ, Luquillo LTER; NWT, Niwot Ridge LTER with each plot labelled 1-5 at each site. Abund represents the abundance of fungi based on ITS observed within each plot. All traits are measured locally and definitions are available for GeoChip data in Supplementary Table 1.
All abundance weighted bacterial functional trait data for each community (plot). Site codes definitions are AND, HJ Andrews Experimental forest; BCI, Barro Colorado Island; CWT, Coweeta LTER; HFR, Harvard Forest; LUQ, Luquillo LTER; NWT, Niwot Ridge LTER with each plot labelled 1-5 at each site. Abund represents the abundance of bacteria based on 16S observed within each plot. All traits are measured locally and definitions are available for GeoChip data in Supplementary Table 1.
Script and data used for simulation to test use of rarified sequence data.