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Ozone effects on European forest growth—Towards an integrative approach.
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- Journal of Ecology, 2018, v. 106, n. 4, p. 1377, doi. 10.1111/1365-2745.12941
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- Article
Effects of climate on diameter growth of co-occurring Fagus sylvatica and Abies alba along an altitudinal gradient.
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- Trees: Structure & Function, 2011, v. 25, n. 2, p. 265, doi. 10.1007/s00468-010-0503-0
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Integrating the evidence for a terrestrial carbon sink caused by increasing atmospheric CO<sub>2</sub>.
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- New Phytologist, 2021, v. 229, n. 5, p. 2413, doi. 10.1111/nph.16866
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Drought induced tree mortality – a tree-ring isotope based conceptual model to assess mechanisms and predispositions.
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- New Phytologist, 2018, v. 219, n. 2, p. 485, doi. 10.1111/nph.15154
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Research frontiers for improving our understanding of drought‐induced tree and forest mortality.
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- New Phytologist, 2018, v. 218, n. 1, p. 15, doi. 10.1111/nph.15048
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Magnitude and timing of density reduction are key for the resilience to severe drought in conifer-broadleaf mixed forests in Central Europe.
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- Annals of Forest Science (BioMed Central), 2021, v. 78, n. 3, p. 1, doi. 10.1007/s13595-021-01085-w
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Individual vulnerability factors of Silver fir ( Abies alba Mill.) to parasitism by two contrasting biotic agents: mistletoe ( Viscum album L. ssp. abietis) and bark beetles (Coleoptera: Curculionidae: Scolytinae) during a decline process.
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- Annals of Forest Science (BioMed Central), 2014, v. 71, n. 6, p. 659, doi. 10.1007/s13595-012-0251-y
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Transpiration of silver Fir ( Abies alba mill.) during and after drought in relation to soil properties in a Mediterranean mountain area.
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- Annals of Forest Science (BioMed Central), 2014, v. 71, n. 6, p. 683, doi. 10.1007/s13595-012-0229-9
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- Article
Drought-induced decline and mortality of silver fir differ among three sites in Southern France.
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- Annals of Forest Science (BioMed Central), 2014, v. 71, n. 6, p. 643, doi. 10.1007/s13595-013-0265-0
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Accuracy, realism and general applicability of European forest models.
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- Global Change Biology, 2022, v. 28, n. 23, p. 6921, doi. 10.1111/gcb.16384
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Growth resistance and resilience of mixed silver fir and Norway spruce forests in central Europe: Contrasting responses to mild and severe droughts.
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- Global Change Biology, 2021, v. 27, n. 18, p. 4403, doi. 10.1111/gcb.15737
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- Article
Growth and resilience responses of Scots pine to extreme droughts across Europe depend on predrought growth conditions.
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- Global Change Biology, 2020, v. 26, n. 8, p. 4521, doi. 10.1111/gcb.15153
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Assessing the response of forest productivity to climate extremes in Switzerland using model–data fusion.
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- Global Change Biology, 2020, v. 26, n. 4, p. 2463, doi. 10.1111/gcb.15011
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Contrasting resistance and resilience to extreme drought and late spring frost in five major European tree species.
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- Global Change Biology, 2019, v. 25, n. 11, p. 3781, doi. 10.1111/gcb.14803
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- Article
A synthesis of radial growth patterns preceding tree mortality.
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- Global Change Biology, 2017, v. 23, n. 4, p. 1675, doi. 10.1111/gcb.13535
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Disentangling the factors driving tree reproduction.
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- Ecosphere, 2016, v. 7, n. 9, p. 1, doi. 10.1002/ecs2.1389
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Future ecosystem services from European mountain forests under climate change.
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- Journal of Applied Ecology, 2017, v. 54, n. 2, p. 389, doi. 10.1111/1365-2664.12772
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Plant hydraulics at the heart of plant, crops and ecosystem functions in the face of climate change.
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- New Phytologist, 2024, v. 241, n. 3, p. 984, doi. 10.1111/nph.19463
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- Article
Simulating Bark Beetle Outbreak Dynamics and their Influence on Carbon Balance Estimates with ORCHIDEE r7791.
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- Geoscientific Model Development Discussions, 2023, p. 1, doi. 10.5194/egusphere-2023-1216
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Projecting Forest Dynamics Across Europe: Potentials and Pitfalls of Empirical Mortality Algorithms.
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- Ecosystems, 2020, v. 23, n. 1, p. 188, doi. 10.1007/s10021-019-00397-3
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When a Tree Dies in the Forest: Scaling Climate-Driven Tree Mortality to Ecosystem Water and Carbon Fluxes.
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- Ecosystems, 2016, v. 19, n. 6, p. 1133, doi. 10.1007/s10021-016-9982-1
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Stand‐scale climate change impacts on forests over large areas: transient responses and projection uncertainties.
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- Ecological Applications, 2021, v. 31, n. 4, p. 1, doi. 10.1002/eap.2313
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Bayesian calibration of a growth‐dependent tree mortality model to simulate the dynamics of European temperate forests.
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- Ecological Applications, 2020, v. 30, n. 1, p. N.PAG, doi. 10.1002/eap.2021
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How to kill a tree: empirical mortality models for 18 species and their performance in a dynamic forest model.
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- Ecological Applications, 2018, v. 28, n. 2, p. 522, doi. 10.1002/eap.1668
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Towards a common methodology for developing logistic tree mortality models based on ring-width data.
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- Ecological Applications, 2016, v. 26, n. 6, p. 1827, doi. 10.1890/15-1402.1
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The agony of choice: different empirical mortality models lead to sharply different future forest dynamics.
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- Ecological Applications, 2015, v. 25, n. 5, p. 1303, doi. 10.1890/14-1462.1
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An evaluation of multi-species empirical tree mortality algorithms for dynamic vegetation modelling.
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- Scientific Reports, 2021, v. 11, n. 1, p. 1, doi. 10.1038/s41598-021-98880-2
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Linking seed size and number to trait syndromes in trees.
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- Global Ecology & Biogeography, 2023, v. 32, n. 5, p. 683, doi. 10.1111/geb.13652
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Accurate modeling of harvesting is key for projecting future forest dynamics: a case study in the Slovenian mountains.
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- Regional Environmental Change, 2017, v. 17, n. 1, p. 49, doi. 10.1007/s10113-015-0902-2
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Beyond forest succession: A gap model to study ecosystem functioning and tree community composition under climate change.
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- Functional Ecology, 2021, v. 35, n. 4, p. 955, doi. 10.1111/1365-2435.13760
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Low growth resilience to drought is related to future mortality risk in trees.
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- Nature Communications, 2020, v. 11, n. 1, p. 1, doi. 10.1038/s41467-020-14300-5
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Early-Warning Signals of Individual Tree Mortality Based on Annual Radial Growth.
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- Frontiers in Plant Science, 2019, p. N.PAG, doi. 10.3389/fpls.2018.01964
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- Article