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Aug 21, 2023

Widespread synchronous decline of Mediterranean

Nature Plants (2023)Cite this article

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Large-scale, abrupt ecosystem change in direct response to climate extremes is a critical but poorly documented phenomenon1. Yet, recent increases in climate-induced tree mortality raise concern that some forest ecosystems are on the brink of collapse across wide environmental gradients2,3. Here we assessed climatic and productivity trends across the world’s five Mediterranean forest ecosystems from 2000 to 2021 and detected a large-scale, abrupt forest browning and productivity decline in Chile (>90% of the forest in <100 days), responding to a sustained, acute drought. The extreme dry and warm conditions in Chile, unprecedented in the recent history of all Mediterranean-type ecosystems, are akin to those projected to arise in the second half of the century4. Long-term recovery of this forest is uncertain given an ongoing decline in regional water balance. This dramatic plummet of forest productivity may be a spyglass to the future for other Mediterranean ecosystems.

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All data are available in the article. Source data are provided with this paper.

The codes generated during the current study are available from the corresponding author on reasonable request.

Godfree, R. C. et al. Historical reconstruction unveils the risk of mass mortality and ecosystem collapse during pancontinental megadrought. Proc. Natl Acad. Sci. USA 116, 15580–15589 (2019).

Article CAS PubMed PubMed Central Google Scholar

Allen, C. D., Breshears, D. D. & McDowell, N. G. On underestimation of global vulnerability to tree mortality and forest die-off from hotter drought in the Anthropocene. Ecosphere 6, 129 (2015).

Article Google Scholar

Allen, C. D. et al. A global overview of drought and heat-induced tree mortality reveals emerging climate change risks for forests. For. Ecol. Manage. 259, 660–684 (2010).

Article Google Scholar

Bozkurt, D., Rojas, M., Boisier, J. P. & Valdivieso, J. Projected hydroclimate changes over Andean basins in central Chile from downscaled CMIP5 models under the low and high emission scenarios. Climatic Change 150, 131–147 (2018).

Article Google Scholar

Bergstrom, D. M. et al. Combating ecosystem collapse from the tropics to the Antarctic. Glob. Change Biol. 27, 1692–1703 (2021).

Article CAS Google Scholar

Bland, L. M. et al. Developing a standardized definition of ecosystem collapse for risk assessment. Front. Ecol. Environ. 16, 29–36 (2018).

Article Google Scholar

Newton, A. C. et al. Operationalising the concept of ecosystem collapse for conservation practice. Biol. Conserv. 264, 109366 (2021).

Article Google Scholar

Newton, A. C. Ecosystem Collapse and Recovery (Cambridge Univ. Press, 2021).

Berdugo, M. et al. Global ecosystem thresholds driven by aridity. Science 367, 787–790 (2020).

Article CAS PubMed Google Scholar

Rundel, P. W. et al. Mediterranean biomes: evolution of their vegetation, floras, and climate. Annu. Rev. Ecol. Evol. Syst. 47, 383–407 (2016).

Article Google Scholar

Anderegg, W. R. L., Anderegg, L. D. L., Kerr, K. L. & Trugman, A. T. Widespread drought-induced tree mortality at dry range edges indicates that climate stress exceeds species’ compensating mechanisms. Glob. Change Biol. 25, 3793–3802 (2019).

Article Google Scholar

Adams, H. D. et al. A multi-species synthesis of physiological mechanisms in drought-induced tree mortality. Nat. Ecol. Evol. 1, 1285–1291 (2017).

Article PubMed Google Scholar

Choat, B. et al. Triggers of tree mortality under drought. Nature 558, 531–539 (2018).

Article CAS PubMed Google Scholar

Das, A. J. et al. Empirically validated drought-vulnerability mapping in the mixed conifer forests of the Sierra Nevada. Ecol. Appl. 32, e2514 (2022).

Article PubMed Google Scholar

Pettorelli, N. et al. Using the satellite-derived NDVI to assess ecological responses to environmental change. Trends Ecol. Evol. 20, 503–510 (2005).

Article PubMed Google Scholar

Garreaud, R. D. et al. The Central Chile mega drought (2010–2018): a climate dynamics perspective. Int. J. Climatol. 40, 421–439 (2019).

Article Google Scholar

Chen, D. et al. in Climate Change 2021: The Physical Science Basis (eds Masson-Delmotte, V. et al) 147–286 (Cambridge Univ. Press, 2021).

Garreaud, R. D., Clem, K. & Veloso, J. V. The South Pacific pressure trend dipole and the southern blob. J. Clim. 34, 7661–7676 (2021).

Article Google Scholar

Arroyo, M. T. K. et al. Extreme drought affects visitation and seed set in a plant species in the Central Chilean Andes heavily dependent on hummingbird pollination. Plants 9, 1553 (2020).

Article PubMed PubMed Central Google Scholar

Fettig, C. J., Mortenson, L. A., Bulaon, B. M. & Foulk, P. B. Tree mortality following drought in the central and southern Sierra Nevada, California, U.S. For. Ecol. Manage. 432, 164–178 (2019).

Senf, C., Buras, A., Zang, C. S., Rammig, A. & Seidl, R. Excess forest mortality is consistently linked to drought across Europe. Nat. Commun. 11, 6200 (2020).

Article CAS PubMed PubMed Central Google Scholar

Matusick, G., Ruthrof, K. X., Brouwers, N. C., Dell, B. & Hardy, G. S. J. Sudden forest canopy collapse corresponding with extreme drought and heat in a Mediterranean-type eucalypt forest in southwestern Australia. Eur. J. Res. 132, 497–510 (2013).

Article Google Scholar

Andivia, E. et al. Climate and species stress resistance modulate the higher survival of large seedlings in forest restorations worldwide. Ecol. Appl. 31, e02394 (2021).

Article PubMed Google Scholar

Schenk, H. J. et al. Hydraulic integration and shrub-growth form linked across continental aridity gradients. Proc. Natl Acad. Sci. USA 105, 11248–11253 (2008).

Article CAS PubMed PubMed Central Google Scholar

Nolan, R. H. et al. Limits to post‐fire vegetation recovery under climate change. Plant Cell Environ. 44, 3471–3489 (2021).

Article CAS PubMed Google Scholar

Holmgren, M. Exotic herbivores as drivers of plant invasion and switch to ecosystem alternative states. Biol. Invasions 4, 25–33 (2002).

Article Google Scholar

Chávez, R. O. et al. A probabilistic multi-source remote sensing approach to evaluate extreme precursory drought conditions of a wildfire event in Central Chile. Front. Environ. Sci. 10, 865406 (2022).

Article Google Scholar

Smith-Ramírez, C. et al. Recovery of Chilean Mediterranean vegetation after different frequencies of fires. For. Ecol. Manage. 485, 118922 (2021).

Venegas-González, A. et al. Sclerophyllous forest tree growth under the influence of a historic mega-drought in the Mediterranean Ecoregion of Chile. Ecosystems 26, 344–361 (2023).

Seidl, R. et al. Forest disturbances under climate change. Nat. Clim. Change 7, 395–402 (2017).

Article Google Scholar

Saatchi, S. et al. Persistent effects of a severe drought on Amazonian forest canopy. Proc. Natl Acad. Sci. USA 110, 565–570 (2013).

Article CAS PubMed Google Scholar

Dudney, J. & Suding, K. N. The elusive search for tipping points. Nat. Ecol. Evol. 4, 1449–1450 (2020).

Article PubMed Google Scholar

Hillebrand, H. et al. Thresholds for ecological responses to global change do not emerge from empirical data. Nat. Ecol. Evol. 4, 1502–1509 (2020).

Article PubMed PubMed Central Google Scholar

Dinerstein, E. et al. An ecoregion-based approach to protecting half the terrestrial realm. BioScience 67, 534–545 (2017).

Article PubMed PubMed Central Google Scholar

Ackerly, D. D., Stock, W. D. & Slingsby, J. A. in Fynbos (eds Allsopp, N. et al.) 361–376 (Oxford Univ. Press, 2014).

Beck, H. E. et al. Present and future Köppen–Geiger climate classification maps at 1 km resolution. Sci. Data 5, 180214 (2018).

Trabucco, A. & Zomer, R. Global aridity index and potential evapotranspiration (ET0) climate database v.2. figshare https://doi.org/10.6084/m9.figshare.7504448.v3 (2019).

Adler, R. F. et al. The Version-2 Global Precipitation Climatology Project (GPCP) monthly precipitation analysis (1979–Present). J. Hydrometeorol. 4, 1147–1167 (2003).

2.0.CO;2" data-track-action="article reference" href="https://doi.org/10.1175%2F1525-7541%282003%29004%3C1147%3ATVGPCP%3E2.0.CO%3B2" aria-label="Article reference 38" data-doi="10.1175/1525-7541(2003)0042.0.CO;2">Article Google Scholar

Harris, I., Osborn, T. J., Jones, P. & Lister, D. Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset. Sci. Data 7, 109 (2020).

Article PubMed PubMed Central Google Scholar

Taylor, K. E., Stouffer, R. J. & Meehl, G. A. An overview of CMIP5 and the experiment design. Bull. Am. Meteorol. Soc. 93, 485–498 (2012).

Article Google Scholar

Gorelick, N. et al. Google Earth Engine: planetary-scale geospatial analysis for everyone. Remote Sens. Environ. 202, 18–27 (2017).

Article Google Scholar

Friedl, M. & Sulla-Menashe, D. MCD12Q1 MODIS/Terra+Aqua Land Cover Type Yearly L3 Global 500m SIN Grid V006. EarthData https://doi.org/10.5067/MODIS/MCD12Q1.006 (2019).

Giglio, L., Justice, C., Boschetti, L. & Roy, D. MCD64A1 MODIS/Terra+Aqua Burned Area Monthly L3 Global 500m SIN Grid V006. EarthData https://doi.org/10.5067/MODIS/MCD64A1.006 (2015).

Zhao, Y. et al. Detailed dynamic land cover mapping of Chile: accuracy improvement by integrating multi-temporal data. Remote Sens. Environ. 183, 170–185 (2016).

Article Google Scholar

Miranda, A. et al. Forest browning trends in response to drought in a highly threatened Mediterranean landscape of South America. Ecol. Indic. 115, 106401 (2020).

Article Google Scholar

Hansen, M. C. et al. High-resolution global maps of 21st-century forest cover change. Science 342, 850–853 (2013).

Article CAS PubMed Google Scholar

Fong, Y., Huang, Y., Gilbert, P. B. & Permar, S. R. chngpt: threshold regression model estimation and inference. BMC Bioinformatics 18, 454 (2017).

Article PubMed PubMed Central Google Scholar

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A.M., S.G, A.L. and R.G. thank ANID/FONDAP/15110009, and A.M. thanks ANID Postdoctoral Fondecyt project 3210101. F.S. thanks ANID grants FB210006 and ACE210006 to the Institute of Ecology and Biodiversity (IEB). A.M. and J.C. acknowledges the support of the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 101037419, and J.C. acknowledges Postdoctoral Fondecyt project 3210311. S.G. thanks FORPES project PID2019-106908RA-I00/AEI/10.13039/501100011033 from MICINN, Spain. J.F.O. was supported by the Chilean Foundation of Science and Technology (FONDECYT) Grant 11191147. We also thank the Center of Applied Ecology and Sustainability (CAPES) project PIA/BASAL FB0002. S.V. thanks ANID no. 9219/2022 Concurso Subvención a la Instalación en la Academia, Code 85220080.

Laboratorio de Ecología del Paisaje y Conservación, Departamento de Ciencias Forestales, Universidad de La Frontera, Temuco, Chile

Alejandro Miranda

Center for Climate and Resilience Research (CR2), Santiago, Chile

Alejandro Miranda, Susana Gómez-González, Rayen Mentler, Antonio Lara & René Garreaud

Department of Geography, San Diego State University, San Diego, CA, USA

Alexandra D. Syphard

Conservation Biology Institute, Corvallis, OR, USA

Alexandra D. Syphard

Institute of Integrative Biology, Department of Environment Systems Science, ETH Zurich, Zürich, Switzerland

Miguel Berdugo

Departamento de Industria, Facultad de Ingeniería, Universidad Tecnológica Metropolitana, Santiago, Chile

Jaime Carrasco

Departamento de Biología-IVAGRO, Universidad de Cádiz, Puerto Real, Spain

Susana Gómez-González

Center for Fire and Socioecological Systems (FireSES), Universidad Austral de Chile, Valdivia, Chile

Susana Gómez-González

Facultad de Ciencias Forestales y de La Conservación de la Naturaleza, Universidad de Chile, Santiago, Chile

Juan F. Ovalle

Center of Applied Ecology and Sustainability (CAPES), Santiago, Chile

Juan F. Ovalle & Marcelo D. Miranda

Departamento de Biología, Facultad de Ciencias, Universidad de La Serena, La Serena, Chile

Cristian A. Delpiano & Francisco A. Squeo

Instituto de Ecología y Biodiversidad (IEB), Santiago, Chile

Cristian A. Delpiano & Francisco A. Squeo

Departamento de Química y Biología, Facultad de Ciencias Naturales, Universidad de Atacama, Copiapó, Chile

Solange Vargas

Facultad de Agronomía e Ingeniería Forestal, Pontificia Universidad Católica de Chile, Santiago, Chile

Marcelo D. Miranda

Department of Natural Resources and the Environment, University of Connecticut, Mansfield, CT, USA

Cynnamon Dobbs

Instituto de Conservación, Biodiversidad y Territorio, Universidad Austral de Chile, Valdivia, Chile

Antonio Lara

Fundación Centro de los Bosques Nativos FORECOS, Valdivia, Chile

Antonio Lara

Departamento de Geofísica, Universidad de Chile, Santiago, Chile

René Garreaud

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A.M., R.G., A.D.S., M.B., A.L. and S.G.-G. conceptualized the project. A.M., R.G. and J.C. developed the methodology. A.M., R.G., R.M., J.C. and M.D.M. curated data. A.M., R.G., R.M., J.C. and M.D.M. conducted formal analysis. A.M., R.G., R.M. and M.D.M. performed visualization. A.M., R.G., F.A.S., M.D.M., J.F.O., C.A.D. and A.L. acquired funding. A.M., J.F.O., C.A.D. and S.V. administered the project. A.M., R.G., A.D.S., M.B., M.D.M., S.G. and A.L. wrote the original draft, which was reviewed and edited by A.M., R.G., J.F.O., A.D.S., M.B., F.A.S., C.A.D., S.V., M.D.M., C.D., S.G. and A.L.

Correspondence to Alejandro Miranda.

The authors declare no competing interests.

Nature Plants thanks Víctor Resco de Dios and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Methods, Figs.1–4 and Tables 1–3.

Annual regional mean NDVI for all MTEs.

The 1901–2020 annual precipitation anomalies for all MTEs. The 1901–2020 11-year mean-precipitation anomalies for all MTEs. The 1901–2020 11-year mean-maximum temperature anomalies for all MTEs.

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Miranda, A., Syphard, A.D., Berdugo, M. et al. Widespread synchronous decline of Mediterranean-type forest driven by accelerated aridity. Nat. Plants (2023). https://doi.org/10.1038/s41477-023-01541-7

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Received: 11 July 2022

Accepted: 12 September 2023

Published: 16 October 2023

DOI: https://doi.org/10.1038/s41477-023-01541-7

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