globalchange  > 气候变化事实与影响
DOI: doi:10.1038/nclimate2697
论文题名:
Climate sensitivity of shrub growth across the tundra biome
作者: Isla H. Myers-Smith
刊名: Nature Climate Change
ISSN: 1758-840X
EISSN: 1758-6960
出版年: 2015-07-06
卷: Volume:5, 页码:Pages:887;891 (2015)
语种: 英语
英文关键词: Climate-change ecology
英文摘要:

Rapid climate warming in the tundra biome has been linked to increasing shrub dominance1, 2, 3, 4. Shrub expansion can modify climate by altering surface albedo, energy and water balance, and permafrost2, 5, 6, 7, 8, yet the drivers of shrub growth remain poorly understood. Dendroecological data consisting of multi-decadal time series of annual shrub growth provide an underused resource to explore climate–growth relationships. Here, we analyse circumpolar data from 37 Arctic and alpine sites in 9 countries, including 25 species, and ~42,000 annual growth records from 1,821 individuals. Our analyses demonstrate that the sensitivity of shrub growth to climate was: (1) heterogeneous, with European sites showing greater summer temperature sensitivity than North American sites, and (2) higher at sites with greater soil moisture and for taller shrubs (for example, alders and willows) growing at their northern or upper elevational range edges. Across latitude, climate sensitivity of growth was greatest at the boundary between the Low and High Arctic, where permafrost is thawing4 and most of the global permafrost soil carbon pool is stored9. The observed variation in climate–shrub growth relationships should be incorporated into Earth system models to improve future projections of climate change impacts across the tundra biome.

The Arctic is warming more rapidly than lower latitudes owing to climate amplification involving temperature, water vapour, albedo and sea ice feedbacks5, 7. Tundra ecosystems are thus predicted to respond more rapidly to climate change than other terrestrial ecosystems4. The tundra biome spans Arctic and alpine regions that have similar plant species pools and mean climates, yet vary in topography, seasonality, land cover and glaciation history. Concurrent with the recent high-latitude warming trend7, repeat photography and vegetation surveys have shown widespread expansion of shrubs1, 2, 3, characterized by increased canopy cover, height and abundance. However, climate warming7 and shrub increase2, 10 have not occurred at all sites. Models predict that warming of 2–10 °C (ref. 11) could convert as much as half of current tundra to ‘shrubland’ by the end of the twenty-first century8, but the uniformity of the frequently cited relationship between climate change and tundra shrub expansion5, 12, 13, 14, 15 has yet to be quantified across the tundra biome as a whole.

Shrubs are woody perennial species that can live from decades to centuries. In seasonal climates, they form annual growth rings, allowing analysis of radial growth over time. Many shrub species are widely distributed across the tundra biome and are often dominant, owing to their canopy height, longevity and ability to outcompete low-growing plants. With wide geographic distributions and annual growth records, shrubs are ideally suited for quantifying tundra vegetation responses to climate warming. Assembled annual growth records from sites across the tundra biome provide a unique opportunity to test competing hypotheses of shrub responses to climate change over the past half-century.

Previous ecological monitoring and dendroecological studies have identified temperature, growing season length, summer precipitation and snow cover as important variables explaining spatial and interspecific variation in shrub growth1, 10, 13, 14, 16, 17, 18. However, there is a lack of consensus regarding which climate variables best explain growth across all tundra ecosystems. We therefore do not know whether climate–growth relationships are consistent in direction, strength and magnitude among species and among sites where plant composition, climate trends and environmental parameters differ. At present, most large-scale vegetation models assume high climate sensitivity and a uniform growth response to warming among shrub species and populations8, 19. These models predict pronounced positive climate feedbacks as a result of tundra vegetation change5, 8. Yet, if shrub growth responses to climate are constrained, then changes in shrub dominance should vary regionally, and feedbacks across the tundra biome as a whole could be weaker than predicted at present.

We quantified the climate sensitivity of shrub growth—that is, the strength of relationship between annual growth and climate variables (including temperature and precipitation, specific calculations described below)—to test four hypotheses: (1) The greatest climate sensitivity of growth should occur at northern or high-elevation range edges if plant performance is more climate limited in the harsher growing conditions at range edges than in the centre of species distributions20, 21, 22. (2) Climate sensitivity of growth should be greatest in the centre of species distributions if populations growing under more stressful conditions at range edges have evolved conservative life history strategies limiting their ability to respond when conditions improve23. (3) Climate sensitivity of growth should vary along spatial gradients if the response of species to warming is limited by other factors, such as soil nutrients, soil moisture or biotic interactions21. Alternatively, (4) climate sensitivity of growth could be uniform across the tundra biome.

We synthesized published and unpublished time series of shrub growth across the tundra biome. Our data set extends beyond previous analyses by including sites across the circumpolar Arctic, comprising dwarf, low and tall canopy species, and encompassing 60 years of annual-resolution shrub growth. We used crossdated, radial and axial growth measurements spanning 1950–2010, collected at 37 sites, and for 25 shrub species in 8 genera. We analysed climate–growth relationships for 46 genus-by-site combinations using linear mixed models to estimate climate sensitivity, with 33 candidate climate models as predictors of shrub growth increments. All data were normalized before analysis and model terms included seasonal temperatures and precipitation as fixed effects and year as a random effect (see Supplementary Information).

We calculated four complementary indices of climate sensitivity from the mixed model analysis for each genus-by-site combination: (1) the difference in Akaike information criterion (AIC) between the best climate model and a null model (ΔAIC), (2) the R2 for the best climate model, (3) the absolute value of the slope of the relationship between growth and summer temperature and (4) the proportion of individuals that had significant linear relationships between growth and summer temperature (the best predictor from the overall analysis). We assessed these indices of climate sensitivity across abiotic (wet day frequency, soil moisture, growing season length) and biotic gradients (distance to range edge and species-level maximum canopy height, see Supplementary Information). In Fig. 1, we report both ΔAIC and model slopes to illustrate spatial variation in climate sensitivity (all indices reported in Supplementary Fig. 12). In Fig. 2 we report the percentage of models indicating climate (temperature or precipitation) sensitivity in the model comparison analysis; Fig. 3 shows relationships between all four climate-sensitivity indices across different gradients.

Figure 1: Climate sensitivity across the tundra biome.
Climate sensitivity across the tundra biome.

The size of the circle shows the strength of the summer temperature sensitivity as indicated by the ΔAIC. The colour of the circles indicates the direction of the relationship with summer temperature variables. Locations with multiple circles indicate study sites where multiple species were sampled. The coloured regions indicate the bioclimatic zones of the Circumpolar Arctic Vegetation Map (http://www.geobotany.uaf.edu/cavm).

To examine climate sensitivity of tundra shrub growth, we assembled a database of 37 Arctic and alpine sites encompassing 25 species from 8 genera (Supplementary Tables 1 and 2) for a total of 46 genus-by-site combinations, 1,821 individual shrubs, and 41,576 yearly growth measurements. Growth measurements included annual ring widths (35 genus-by-site combinations) and stem increments (11 genus-by-site combinations). Although data collection was not coordinated in advance and includes both published and unpublished data, the resulting data set represents many of the dominant and widely distributed shrub species found across the tundra biome.

To test the correspondence between variation in climate and annual growth, we used monthly Climate Research Unit (CRU) TS3.21 gridded temperature and precipitation data (0.5° resolution, Supplementary Table 3). We found high correlations between the CRU TS3.21 and station data for the 19 sites with a meteorological station in relatively close proximity (Supplementary Table 4).

We used linear mixed models (package nlme, R version 2.15.3) and model selection among 33 candidate models that included temperature and precipitation variables to relate annual growth to climate (Supplementary Tables 5 and 6). We analysed data from 1950 to 2010, the period with the highest quality climate data and overlap between different individual shrub growth time series.

We present four different indices of climate sensitivity for each genus-by-site combination (see above and Supplementary Information). We considered the overall climate sensitivity to be the comparison of the best model to a null model; summer temperature sensitivity was a comparison of only the models containing a summer temperature variable. We then compared the climate sensitivity of growth to environmental and biotic gradients including wet day frequency, soil moisture, distance to nearest range edge and the maximum potential canopy height for the sampled species. Data have been archived at the Polar Data Catalogue (https://www.polardata.ca Ref No. 12131). Detailed methods describing the data and analyses that were used are included in the Supplementary Information.

Corrected online 06 August 2015
In the version of this Letter originally published online, the second affiliation for Martin Hallinger was missing: 7Department of Ecology, Swedish University of Agricultural Sciences, PO Box 7044, 75007 Uppsala, Sweden. The remaining affiliations have been renumbered.
In the Acknowledgements, the following information should have been included for M.H.: ‘..., EU ATANS Grant FP6506004 and the scholarship programme of the German Federal Environment Foundation (no. 20008/983) (M.H.)’. These errors have been corrected in all versions of the Letter.
  1. Elmendorf, S. C. et al. Plot-scale evidence of tundra vegetation change and links to recent summer warming. Nature Clim. Change 2, 453457 (2012).
  2. Myers-Smith, I. H. et al. Shrub expansion in tundra ecosystems: Dynamics, impacts and research priorities. Environ. Res. Lett. 6, 045509 (2011).
  3. Tape, K. D., Sturm, M. & Racine, C. H. The evidence for shrub expansion in Northern Alaska and the Pan-Arctic. Glob. Change Biol. 12, 686702 (2006).
  4. IPCC Climate Change 2014: Impacts, Adaptation, and Vulnerability (eds Field, C. B. et al.) (Cambridge Univ. Press, 2014).
  5. Chapin, F. S. et al. Role of land-surface changes in Arctic summer warming. Science 310, 657660 (2005).
  6. Blok, D. et al. Shrub expansion may reduce summer permafrost thaw in Siberian tundra. Glob. Change Biol. 16, 12961305 (2010).
  7. Hinzman, L. D. et al. Trajectory of the Arctic as an integrated system. Ecol. Appl. 23, 18371868 (2013).
  8. Pearson, R. G. et al. Shifts in Arctic vegetation and associated feedbacks under climate change. Nature Clim. Change 3, 673677 (20
URL: http://www.nature.com/nclimate/journal/v5/n9/full/nclimate2697.html
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/4668
Appears in Collections:气候变化事实与影响
科学计划与规划
气候变化与战略

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Isla H. Myers-Smith. Climate sensitivity of shrub growth across the tundra biome[J]. Nature Climate Change,2015-07-06,Volume:5:Pages:887;891 (2015).
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