Increasing the broad-leaved tree fraction in European forests mitigates hot temperature extremes
1.
Grassi, G. et al. The key role of forests in meeting climate targets requires science for credible mitigation. Nat. Clim. Change 7, 220 (2017).
ADS Google Scholar
2.
Jia, G. et al. Land–Climate Interactions. Climate Change and Land: An IPCC Special Report on Climate Change, Desertification, Land Degradation, Sustainable Land Management, Food Security, and Greenhouse Gas Fluxes in Terrestrial Ecosystems (Springer, Berlin, 2019).
Google Scholar
3.
Harper, A. B. et al. Land-use emissions play a critical role in land-based mitigation for Paris climate targets. Nat. Commun. 9(1), 2938 (2018).
ADS MathSciNet PubMed PubMed Central Google Scholar
4.
Bonan, G. B. Forests and climate change: Forcings, feedbacks, and the climate benefits of forests. Science 320(5882), 1444–1449 (2008).
ADS CAS PubMed Google Scholar
5.
Davin, E. L. & de Noblet-Ducoudre, N. Climatic impact of global-scale deforestation: radiative versus nonradiative processes. J. Clim. 23(1), 97–112 (2010).
ADS Google Scholar
6.
Li, Y. et al. Local cooling and warming effects of forests based on satellite observations. Nat. Commun. 6, 8 (2015).
Google Scholar
7.
Alkama, R. & Cescatti, A. Biophysical climate impacts of recent changes in global forest cover. Science 351(6273), 600–604 (2016).
ADS CAS PubMed Google Scholar
8.
Bright, R. M. et al. Local temperature response to land cover and management change driven by non-radiative processes. Nat. Clim. Change 7, 296 (2017).
ADS Google Scholar
9.
Duveiller, G., Hooker, J. & Cescatti, A. The mark of vegetation change on Earth’s surface energy balance. Nat. Commun. 9(1), 679 (2018).
ADS PubMed PubMed Central Google Scholar
10.
Augusto, L. et al. Influences of evergreen gymnosperm and deciduous angiosperm tree species on the functioning of temperate and boreal forests. Biol. Rev. 90(2), 444–466 (2015).
PubMed Google Scholar
11.
Naudts, K. et al. Europe’s forest management did not mitigate climate warming. Science 351(6273), 597–600 (2016).
ADS CAS PubMed Google Scholar
12.
Luyssaert, S. et al. Trade-offs in using European forests to meet climate objectives. Nature 562(7726), 259–262 (2018).
ADS CAS PubMed PubMed Central Google Scholar
13.
Thom, D., Rammer, W. & Seidl, R. The impact of future forest dynamics on climate: interactive effects of changing vegetation and disturbance regimes. Ecol. Monogr. 87(4), 665–684 (2017).
PubMed PubMed Central Google Scholar
14.
Hans Pretzsch, D. I. F. J. B. Mixed-Species Forests (Springer, Berlin Heidelberg, 2017).
Google Scholar
15.
Astrup, R. et al. A sensible climate solution for the boreal forest. Nat. Clim. Change 8(1), 11–12 (2018).
ADS Google Scholar
16.
Pukkala, T. Effect of species composition on ecosystem services in European boreal forest. J. For. Res. 29(2), 261–272 (2018).
Google Scholar
17.
Felton, A. et al. Replacing coniferous monocultures with mixed-species production stands: An assessment of the potential benefits for forest biodiversity in northern Europe. For. Ecol. Manage. 260(6), 939–947 (2010).
Google Scholar
18.
Renaud, V. & Rebetez, M. Comparison between open-site and below-canopy climatic conditions in Switzerland during the exceptionally hot summer of 2003. Agric. For. Meteorol. 149(5), 873–880 (2009).
ADS Google Scholar
19.
Ciais, P. et al. Europe-wide reduction in primary productivity caused by the heat and drought in 2003. Nature 437(7058), 529–533 (2005).
ADS CAS PubMed Google Scholar
20.
Robine, J.-M. et al. Death toll exceeded 70,000 in Europe during the summer of 2003. C.R. Biol. 331(2), 171–178 (2008).
PubMed Google Scholar
21.
Wood, S. N. Generalized Additive Models: An Introduction with R. Chapman & Hall/CRC Texts in Statistical Science (CRC Press/Taylor & Francis Group, Boca Raton, 2017).
Google Scholar
22.
Otto, J. et al. Forest summer albedo is sensitive to species and thinning: how should we account for this in Earth system models?. Biogeosciences 11(8), 2411–2427 (2014).
ADS Google Scholar
23.
Rydsaa, J. H., Stordal, F. & Tallaksen, L. M. Sensitivity of the regional European boreal climate to changes in surface properties resulting from structural vegetation perturbations. Biogeosciences 12(10), 3071–3087 (2015).
ADS Google Scholar
24.
Baldocchi, D. D. & Vogel, C. A. Energy and CO2 flux densities above and below a temperate broad-leaved forest and a boreal pine forest. Tree Physiol. 16(1–2), 5–16 (1996).
PubMed Google Scholar
25.
Carnicer, J. et al. Contrasting trait syndromes in angiosperms and conifers are associated with different responses of tree growth to temperature on a large scale. Front. Plant Sci. 4, 19 (2013).
Google Scholar
26.
Davin, E. L. et al. Preferential cooling of hot extremes from cropland albedo management. Proc. Natl. Acad. Sci. USA 111(27), 9757–9761 (2014).
ADS CAS PubMed Google Scholar
27.
Baldocchi, D. D. & Xu, L. What limits evaporation from Mediterranean oak woodlands: the supply of moisture in the soil, physiological control by plants or the demand by the atmosphere?. Adv. Water Resour. 30(10), 2113–2122 (2007).
ADS Google Scholar
28.
Grossiord, C. et al. Influence of species interactions on transpiration of Mediterranean tree species during a summer drought. Eur. J. For. Res. 134(2), 365–376 (2015).
CAS Google Scholar
29.
Denissen, J. M. C. et al. Critical soil moisture derived from satellite observations over Europe. J. Geophys. Res. 125(6), e2019 (2020).
Google Scholar
30.
Dezsi, Ş et al. High-resolution projections of evapotranspiration and water availability for Europe under climate change. Int. J. Climatol. 38(10), 3832–3841 (2018).
Google Scholar
31.
Pita, G. et al. Carbon and water vapor fluxes over four forests in two contrasting climatic zones. Agric. For. Meteorol. 180, 211–224 (2013).
ADS Google Scholar
32.
EEA. Europe’s Biodiversity: Biogeographical Regions and Seas. Biogeographical Regions in Europe. The Atlantic Region—MILD and Green, Fragmented and Close to the Rising Sea (EEA, Copenhagen, 2003).
Google Scholar
33.
Marshall, J. D. & Waring, R. H. Conifers and broadleaf species: stomatal sensitivity differs in western Oregon. Can. J. For. Res. 14(6), 905–908 (1984).
Google Scholar
34.
EEA. Climate Change, Impacts and Vulnerability in Europe 2016: An Indicator-Based Report, EEA Report No 1/2017 (EEA, Copenhagen, 2017).
Google Scholar
35.
Vilà-Cabrera, A. et al. Forest management for adaptation to climate change in the Mediterranean basin: a synthesis of evidence. For. Ecol. Manage. 407, 16–22 (2018).
Google Scholar
36.
Cardil, A. et al. Temporal interactions among throughfall, type of canopy and thinning drive radial growth in an Iberian mixed pine-beech forest. Agric. For. Meteorol. 252, 62–74 (2018).
ADS Google Scholar
37.
Belyazid, S. & Giuliana, Z. Water limitation can negate the effect of higher temperatures on forest carbon sequestration. Eur. J. Forest Res. 138(2), 287–297 (2019).
Google Scholar
38.
Schume, H., Jost, G. & Hager, H. Soil water depletion and recharge patterns in mixed and pure forest stands of European beech and Norway spruce. J. Hydrol. 289(1), 258–274 (2004).
ADS Google Scholar
39.
Teuling, A. J. et al. Contrasting response of European forest and grassland energy exchange to heatwaves. Nat. Geosci. 3(10), 722–727 (2010).
ADS CAS Google Scholar
40.
Gebhardt, T. et al. The more, the better? Water relations of Norway spruce stands after progressive thinning. Agric. For. Meteorol. 197, 235–243 (2014).
ADS Google Scholar
41.
Calev, A. et al. High-intensity thinning treatments in mature Pinus halepensis plantations experiencing prolonged drought. Eur. J. For. Res. 135(3), 551–563 (2016).
Google Scholar
42.
Goisser, M. et al. Does belowground interaction with Fagus sylvatica increase drought susceptibility of photosynthesis and stem growth in Picea abies?. For. Ecol. Manage. 375, 268–278 (2016).
Google Scholar
43.
Brinkmann, N. et al. Species-specific differences in water uptake depth of mature temperate trees vary with water availability in the soil. Plant Biol. 21(1), 71–81 (2019).
CAS PubMed Google Scholar
44.
McGloin, R. et al. Available energy partitioning during drought at two Norway spruce forests and a European Beech forest in Central Europe. J. Geophys. Res. 124(7), 3726–3742 (2019).
Google Scholar
45.
Schultz, N. M., Lawrence, P. J. & Lee, X. Global satellite data highlights the diurnal asymmetry of the surface temperature response to deforestation. Journal of Geophysical Research: Biogeosciences 122(4), 903–917 (2017).
ADS Google Scholar
46.
Peng, S.-S. et al. Afforestation in China cools local land surface temperature. Proc. Natl. Acad. Sci. USA 111(8), 2915–2919 (2014).
ADS CAS PubMed Google Scholar
47.
Zweifel, R., Rigling, A. & Dobbertin, M. Species-specific stomatal response of trees to drought: a link to vegetation dynamics?. J. Veg. Sci. 20(3), 442–454 (2009).
Google Scholar
48.
Renaud, V. et al. Comparison between open-site and below-canopy climatic conditions in Switzerland for different types of forests over 10 years (1998–2007). Theoret. Appl. Climatol. 105(1), 119–127 (2011).
ADS Google Scholar
49.
Barr, A. G. et al. Intercomparison of BOREAS northern and southern study area surface fluxes in 1994. J. Geophys. Res. 106(D24), 33543–33550 (2001).
ADS Google Scholar
50.
Rebetez, M. et al. Meteorological data series from Swiss long-term forest ecosystem research plots since 1997. Ann. For. Sci. 75(2), 41 (2018).
Google Scholar
51.
Good, E. J. An in situ-based analysis of the relationship between land surface “skin” and screen-level air temperatures. J. Geophys. Res. 121(15), 8801–8819 (2016).
Google Scholar
52.
Mastrotheodoros, T. et al. More green and less blue water in the Alps during warmer summers. Nat. Clim. Change 10(2), 155–161 (2020).
ADS Google Scholar
53.
Zabret, K., Rakovec, J. & Šraj, M. Influence of meteorological variables on rainfall partitioning for deciduous and coniferous tree species in urban area. J. Hydrol. 558, 29–41 (2018).
ADS Google Scholar
54.
Li, X. et al. Process-based rainfall interception by small trees in Northern China: the effect of rainfall traits and crown structure characteristics. Agric. For. Meteorol. 218–219, 65–73 (2016).
ADS Google Scholar
55.
Xiao, Q. & McPherson, E. G. Surface water storage capacity of twenty tree species in Davis, California. J. Environ. Qual. 45(1), 188–198 (2016).
CAS PubMed Google Scholar
56.
Leuschner, C. In Ecology of Central European Forests: Vegetation Ecology of Central Europe (ed. Ellenberg, H.) (Springer International Publishing, Cham, 2017).
Google Scholar
57.
Knoke, T. et al. Admixing broadleaved to coniferous tree species: a review on yield, ecological stability and economics. Eur. J. For. Res. 127(2), 89–101 (2008).
Google Scholar
58.
Ellenberg, H. & Strutt, G. K. Vegetation Ecology of Central Europe 4th edn. (Cambridge University Press, Cambridge, 2009).
Google Scholar
59.
Schutz, J. P. et al. Vulnerability of spruce (Picea abies) and beech (Fagus sylvatica) forest stands to storms and consequences for silviculture. Eur. J. For. Res. 125(3), 291–302 (2006).
Google Scholar
60.
Sousa-Silva, R. et al. Tree diversity mitigates defoliation after a drought-induced tipping point. Glob. Change Biol. 24(9), 4304–4315 (2018).
ADS Google Scholar
61.
Seidl, R. et al. Forest disturbances under climate change. Nat. Clim. Change 7, 395 (2017).
ADS Google Scholar
62.
IPCC Climate Change 2014: Synthesis Report. In Contribution of Working Groups I II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (eds Pachauri, R. K. & Meyer, L. A.) 151 (IPCC, Geneva, 2014).
Google Scholar
63.
Schlenker, W. & Roberts, M. J. Nonlinear temperature effects indicate severe damages to U.S. crop yields under climate change. Proc. Natl. Acad. Sci. USA 106(37), 15594–15598 (2009).
ADS CAS PubMed Google Scholar
64.
Anderson, G. B. & Bell, M. L. Heat waves in the United States: mortality risk during heat waves and effect modification by heat wave characteristics in 43 U.S. Communities. Environ Health Perspect 119(2), 210–218 (2011).
PubMed Google Scholar
65.
Zivin, J. G. & Neidell, M. Temperature and the allocation of time: implications for climate change. J. Labor Econ. 32(1), 1–26 (2014).
Google Scholar
66.
Wan, Z. New refinements and validation of the collection-6 MODIS land-surface temperature/emissivity product. Remote Sens. Environ. 140, 36–45 (2014).
ADS Google Scholar
67.
Trigo, I. F. et al. Thermal land surface emissivity retrieved from SEVIRI/meteosat. IEEE Trans. Geosci. Remote Sens. 46(2), 307–315 (2008).
ADS Google Scholar
68.
Gottsche, F. M. et al. Long term validation of land surface temperature retrieved from MSG/SEVIRI with continuous in-situ measurements in Africa. Remote Sens. 8, 27 (2016).
Google Scholar
69.
Freitas, S. C. et al. Quantifying the uncertainty of land surface temperature retrievals from SEVIRI/Meteosat. IEEE Trans. Geosci. Remote Sens. 48, 523–534 (2010).
ADS Google Scholar
70.
Langanke, T. Copernicus Land Monitoring Service: High Resolution Layer Forest: Product Specification Document (Copernicus team at EEA, European Environment Agency, Copenhagen, 2018).
Google Scholar
71.
EEA, EU-DEM Statistical Validation (Copenhagen, Denmark, 2014).
72.
Kosztra, B. et al. Updated CLC Illustrated Nomenclature Guidelines (European Environment Agency, Vienna, 2017).
Google Scholar
73.
R Core Team. R: A Language and Environment for Statistical Computing (R Foundation for Statistical Computing, Vienna, 2019).
Google Scholar
74.
Wood, S. N., Goude, Y. & Shaw, S. Generalized additive models for large data sets. J. R. Stat. Soc. C 64(1), 139–155 (2015).
MathSciNet Google Scholar
75.
Wood, S. N., Pya, N. & Säfken, B. Smoothing parameter and model selection for general smooth models. J. Am. Stat. Assoc. 111(516), 1548–1563 (2016).
MathSciNet CAS Google Scholar
76.
Götmark, F. et al. Broadleaved tree species in conifer-dominated forestry: Regeneration and limitation of saplings in southern Sweden. For. Ecol. Manage. 214(1), 142–157 (2005).
Google Scholar
77.
von Arx, G. et al. Microclimate in forests with varying leaf area index and soil moisture: potential implications for seedling establishment in a changing climate. J. Ecol. 101(5), 1201–1213 (2013).
Google Scholar More
