Monday, December 23, 2024

Changes in planned and unplanned canopy openings are linked in Europe’s forests – Nature Communications

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  • Turner, M. G. Disturbance and landscape dynamics in a changing world. Ecology 91, 2833–2849 (2010).

    Article 
    PubMed 

    Google Scholar
     

  • Seidl, R. et al. Globally consistent climate sensitivity of natural disturbances across boreal and temperate forest ecosystems. Ecography 43, 967–978 (2020).

    Article 
    ADS 

    Google Scholar
     

  • Patacca, M. et al. Significant increase in natural disturbance impacts on European forests since 1950. Glob. Chang. Biol. 29, 1359–1376 (2023).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • FAO. Forest Products 2022. https://doi.org/10.4060/cc3475m (FAO, 2022).

  • McDowell, N. G. et al. Pervasive shifts in forest dynamics in a changing world. Science 368, eaaz9463 (2020).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Pugh, T. A. M., Arneth, A., Kautz, M., Poulter, B. & Smith, B. Important role of forest disturbances in the global biomass turnover and carbon sinks. Nat. Geosci. 12, 730–735 (2019).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Mayer, M., Baltensweiler, A., James, J., Rigling, A. & Hagedorn, F. A global synthesis and conceptualization of the magnitude and duration of soil carbon losses in response to forest disturbances. Glob. Ecol. Biogeogr. 33, 141–150 (2024).

    Article 
    PubMed 

    Google Scholar
     

  • Ceccherini, G. et al. Abrupt increase in harvested forest area over Europe after 2015. Nature 583, 72–77 (2020).

    Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar
     

  • Palahí, M. et al. Concerns about reported harvests in European forests. Nature 592, E15–E17 (2021).

    Article 
    PubMed 

    Google Scholar
     

  • Wernick, I. K. et al. Quantifying forest change in the European Union. Nature 592, E13–E14 (2021).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Senf, C. & Seidl, R. Mapping the forest disturbance regimes of Europe. Nat. Sustain. 4, 63–70 (2021).

    Article 

    Google Scholar
     

  • Senf, C. & Seidl, R. Storm and fire disturbances in Europe: distribution and trends. Glob. Chang. Biol. 27, 3605–3619 (2021).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Sebald, J., Senf, C. & Seidl, R. Human or natural? Landscape context improves the attribution of forest disturbances mapped from Landsat in Central Europe. Remote Sens. Environ. 262, 112502 (2021).

    Article 

    Google Scholar
     

  • Sanginés de Cárcer, P. et al. The management response to wind disturbances in European forests. Curr. For. Reports 7, 167–180 (2021).

  • Kautz, M., Schopf, R. & Ohser, J. The “sun-effect”: microclimatic alterations predispose forest edges to bark beetle infestations. Eur. J. Res. 132, 453–465 (2013).

    Article 

    Google Scholar
     

  • Mitchell, S. J. Wind as a natural disturbance agent in forests: a synthesis. Forestry 86, 147–157 (2013).

    Article 

    Google Scholar
     

  • Bruni, C. et al. Wildfire exposure and risk in pulp paper companies’ plantations under extreme weather conditions: a case study in North-Western Portugal. Int. J. Disaster Risk Reduct. 100, 104064 (2024).

    Article 

    Google Scholar
     

  • Pretzsch, H., Biber, P., Schütze, G., Uhl, E. & Rötzer, T. Forest stand growth dynamics in Central Europe have accelerated since 1870. Nat. Commun. 5, 4967 (2014).

    Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar
     

  • Schmidt, M., Hanewinkel, M., Kändler, G., Kublin, E. & Kohnle, U. An inventory-based approach for modeling single-tree storm damage—experiences with the winter storm of 1999 in southwestern Germany. Can. J. Res. 40, 1636–1652 (2010).

    Article 

    Google Scholar
     

  • Pausas, J. G. & Ribeiro, E. The global fire-productivity relationship. Glob. Ecol. Biogeogr. 22, 728–736 (2013).

    Article 

    Google Scholar
     

  • Pasztor, F., Matulla, C., Rammer, W. & Lexer, M. J. Drivers of the bark beetle disturbance regime in Alpine forests in Austria. Ecol. Manag. 318, 349–358 (2014).

    Article 

    Google Scholar
     

  • Ferraro, P. J., Sanchirico, J. N. & Smith, M. D. Causal inference in coupled human and natural systems. Proc. Natl Acad. Sci. USA 116, 5311–5318 (2019).

    Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar
     

  • Simard, M., Romme, W. H., Griffin, J. M. & Turner, M. G. Do mountain pine beetle outbreaks change the probability of active crown fire in lodgepole pine forests? Ecol. Monogr. 81, 3–24 (2011).

    Article 

    Google Scholar
     

  • Buma, B. Disturbance interactions: characterization, prediction, and the potential for cascading effects. Ecosphere 6, art70 (2015).

    Article 

    Google Scholar
     

  • Liu, J. et al. Complexity of coupled human and natural systems. Science 317, 1513–1516 (2007).

    Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar
     

  • Liu, J. et al. Coupled human and natural systems: the evolution and applications of an integrated framework. Ambio 50, 1778–1783 (2021).

    Article 
    ADS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Hanewinkel, M., Hummel, S. & Albrecht, A. Assessing natural hazards in forestry for risk management: a review. Eur. J. Res. 130, 329–351 (2011).

    Article 

    Google Scholar
     

  • Forest Europe. The State of Europe’s Forests 2020 (Ministerial Conference on the Protection of Forests in Europe, 2020).

  • Nikinmaa, L. et al. Reviewing the use of resilience concepts in forest sciences. Curr. Rep. 6, 61–80 (2020).

    Article 
    CAS 

    Google Scholar
     

  • Triviño, M. et al. Enhancing resilience of boreal forests through management under global change: a review. Curr. Landsc. Ecol. Rep. 8, 103–118 (2023).

    Article 

    Google Scholar
     

  • Anderegg, W. R. L. et al. Climate-driven risks to the climate mitigation potential of forests. Science 368, 1099–1103 (2020).

    Article 

    Google Scholar
     

  • De Frenne, P. et al. Forest microclimates and climate change: Importance, drivers and future research agenda. Glob. Chang. Biol. 27, 2279–2297 (2021).

    Article 
    ADS 
    PubMed 

    Google Scholar
     

  • Larsen, J. B. et al. Closer-to-nature Forest Management (European Forest Institute, 2022).

  • Senf, C. & Seidl, R. Post‐disturbance canopy recovery and the resilience of Europe’s forests. Glob. Ecol. Biogeogr. 31, 25–36 (2022).

    Article 

    Google Scholar
     

  • Senf, C. & Seidl, R. Persistent impacts of the 2018 drought on forest disturbance regimes in Europe. Biogeosciences 18, 5223–5230 (2021).

    Article 
    ADS 

    Google Scholar
     

  • Forzieri, G. et al. A spatially explicit database of wind disturbances in European forests over the period 2000–2018. Earth Syst. Sci. Data 12, 257–276 (2020).

    Article 
    ADS 

    Google Scholar
     

  • Hlásny, T. et al. Bark beetle outbreaks in Europe: state of knowledge and ways forward for management. Curr. Rep. 7, 138–165 (2021).

    Article 

    Google Scholar
     

  • Hlásny, T. et al. Devastating outbreak of bark beetles in the Czech Republic: drivers, impacts, and management implications. Ecol. Manag. 490, 119075 (2021).

    Article 

    Google Scholar
     

  • Senf, C., Sebald, J. & Seidl, R. Increasing canopy mortality affects the future demographic structure of Europe’s forests. One Earth 4, 749–755 (2021).

    Article 
    ADS 

    Google Scholar
     

  • Curtis, P. G., Slay, C. M., Harris, N. L., Tyukavina, A. & Hansen, M. C. Classifying drivers of global forest loss. Science 361, 1108–1111 (2018).

    Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar
     

  • Roberts, D. R. et al. Cross‐validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure. Ecography 40, 913–929 (2017).

    Article 
    ADS 

    Google Scholar
     

  • JRC. Salvage loggings. European Commission, Joint Research Centre. http://data.europa.eu/89h/2100b612-a4b0-4897-829b-72b7b1e5782c (2021).

  • Hothorn, T., Hornik, K., van de Wiel, M. A. & Zeileis, A. Implementing a class of permutation tests: the coin package. J. Stat. Softw. 28, 1–23 (2008).

    Article 

    Google Scholar
     

  • R. Development Core Team. R: A Language and Environment for Statistical Computing (R Foundation for Statistical Computing, 2023).

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