•Warmer winters significantly delayed budburst and flowering.•Winter warming that counteracts the advancing effect of preseason warming.•The effect of winter warming was 2.3 times lower than the ...effect of spring warming.•Warmer winter temperature conditions have a significantly larger effect at lower elevations.
Mountain regions are particularly susceptible and influenced by the effects of climate change. In the Alps, temperature increased two times faster than in the Northern Hemisphere during the 20th century. As an immediate response in certain tree species, spring phenological phases, such as budburst and flowering, have tended to occur earlier. However, recent studies have shown a slowing down of phenological shifts during the last two decades compared to earlier periods, which might be caused by warmer winters. Indeed, cold temperatures are required to break bud dormancy that occurs in early fall; and dormancy break is a prerequisite for cell elongation to take place in spring when temperature conditions are warm enough.
Here we aimed at evaluating the effects of winter warming vs. spring warming on the phenological shift along mountain elevation gradients. We tested the hypothesis that a lack of chilling temperature during winter delayed dormancy release and subsequently spring phenological phases. For this, we used eight years of temperature and phenological records for five tree species (Betula pendula, Fraxinus excelsior, Corylus avellana, Picea abies and Larix decidua) gathered with the citizen science program Phenoclim (www.phenoclim.org) deployed over the French Alps.
Our results showed that for similar preseason (i.e. after dormancy break) temperatures, warmer winters significantly delayed budburst and flowering along the elevation gradient (+0.9 to +5.6 days °C−1) except for flowering of Corylus and budburst of Picea. For similar cold winter temperatures, warmer preseasons significantly advanced budburst and flowering along the elevation gradient (−5.3 to −8.4 days °C−1). On average, the effect of winter warming was 2.3 times lower than the effect of spring warming. We also showed that warmer winter temperature conditions have a significantly larger effect at lower elevations.
As a consequence, the observed delaying effect of winter warming might be beneficial to trees by reducing the risk of exposure to late spring frost on a short term. This could further lead to partial dormancy break at lower elevations before the end of the 21st century, which, in turn, may alter bud development and flowering and so tree fitness.
•Process-based phenology models were more robust than correlative models.•Robustness of process-based models increase when their calibration could rely on forward estimation.•Process-based models ...projected a reduction in the phenological cline along the elevation gradient by the end of the 21st century.
Many phenology models have been developed to explain historical trends in plant phenology and to forecast future ones. Two main types of model can be distinguished: correlative models, that statistically relate descriptors of climate to the date of occurrence of a phenological event, and process-based models that build upon explicit causal relationships determined experimentally. While process-based models are believed to provide more robust projections in novel conditions, it is still unclear whether this assertion always holds true and why. In addition, the efficiency and robustness of the two model categories have rarely been compared. Here we aimed at comparing the efficiency and the robustness of correlative and process-based phenology models with contrasting levels of complexity in both historical and future climatic conditions. Models were calibrated, validated and compared using budburst dates of five tree species across the French Alps collected during 8 years by a citizen-science program. Process-based models were less efficient, yet more robust than correlative models, even when their parameter estimates relied entirely on inverse modeling, i.e. parameter values estimated using observed budburst dates and optimization algorithms. Their robustness further slightly increased when their parameter estimates relied on forward estimation, i.e. parameter values measured experimentally. Our results therefore suggest that the robustness of process-based models comes both from the fact that they describe causal relationships and the fact that their parameters can be directly measured. Process-based models projected a reduction in the phenological cline along the elevation gradient for all species by the end of the 21st century. This was due to a delaying effect of winter warming at low elevation where conditions will move away from optimal chilling conditions that break bud dormancy vs an advancing effect of spring warming at high elevation where optimal chilling conditions for dormancy release will persist even under the most pessimistic emissions scenario RCP 8.5. These results advocate for increasing efforts in developing process-based phenology models as well as forward modelling, in order to provide accurate projections in future climatic conditions.
Temperatures in mountain areas are increasing at a higher rate than the Northern Hemisphere land average, but how fauna may respond, in particular in terms of phenology, remains poorly understood. ...The aim of this study was to assess how elevation could modify the relationships between climate variability (air temperature and snow melt‐out date), the timing of plant phenology and egg‐laying date of the coal tit (Periparus ater). We collected 9 years (2011–2019) of data on egg‐laying date, spring air temperature, snow melt‐out date, and larch budburst date at two elevations (~1,300 m and ~1,900 m asl) on a slope located in the Mont‐Blanc Massif in the French Alps. We found that at low elevation, larch budburst date had a direct influence on egg‐laying date, while at high‐altitude snow melt‐out date was the limiting factor. At both elevations, air temperature had a similar effect on egg‐laying date, but was a poorer predictor than larch budburst or snowmelt date. Our results shed light on proximate drivers of breeding phenology responses to interannual climate variability in mountain areas and suggest that factors directly influencing species phenology vary at different elevations. Predicting the future responses of species in a climate change context will require testing the transferability of models and accounting for nonstationary relationships between environmental predictors and the timing of phenological events.
Our study focuses on how the environmental predictors (air temperature, snow melt‐out date, and plant phenology) of breeding phenology (egg‐laying date) differ with elevation in a common woodland bird species, the coal tit.
•The QM method succeeds at reducing the RCM’s wet biases in spring and summer.•Post-correcting RCM precipitation does not improve the Soil Water Deficit Index.•The QM method does not correct the ...timing errors produced by the climate model.•Realistic temporality of precipitation is required for climate impact assessment.
This paper documents the accuracy of a post-correction method applied to precipitation regionalized by the Weather Research and Forecasting (WRF) Regional Climate Model (RCM) for improving simulated rainfall and feeding impact studies. The WRF simulation covers Burgundy (northeastern France) at a 8-km resolution and over a 20-year long period (1989–2008). Previous results show a strong deficiency of the WRF model for simulating precipitation, especially when convective processes are involved. In order to reduce such biases, a Quantile Mapping (QM) method is applied to WRF-simulated precipitation using the mesoscale atmospheric analyses system SAFRAN («Système d'Analyse Fournissant des Renseignements Adaptés à la Nivologie») that provides precipitation data at an 8km resolution. Raw and post-corrected model outputs are next used to compute the soil water balance of 30 Douglas-fir and 57 common Beech stands across Burgundy, for which radial growth data are available. Results show that the QM method succeeds at reducing the model's wet biases in spring and summer. Significant improvements are also noted for rainfall seasonality and interannual variability, as well as its spatial distribution. Based on both raw and post-corrected rainfall time series, a Soil Water Deficit Index (SWDI) is next computed as the sum of the daily deviations between the relative extractible water and a critical value of 40% below which the low soil water content induce stomatal regulation. Post-correcting WRF precipitation does not significantly improve the simulation of the SWDI upon the raw (uncorrected) model outputs. Two characteristic years were diagnosed to explain this unexpected lack of improvement. Although the QM method allows producing realistic precipitation amounts, it does not correct the timing errors produced by the climate model, which is yet a major issue to obtain reliable estimators of local-scale bioclimatic conditions for impact studies. A realistic temporality of simulated precipitation is thus required before using any systematic post-correction method for appropriate climate impact assessment over temperate forests.
Les régions alpines sont particulièrement sensibles aux changements climatiques en cours. Ainsi, l’ouest des Alpes s’est réchauffé deux fois plus vite que l’hémisphère Nord au cours du XXème siècle. ...Les rythmes saisonniers des arbres, comme beaucoup d’autres organismes, sont fortement modifiés par le réchauffement climatique. La phénologie et les variations temporelles fines du climat apparaissent comme des composantes incontournables à prendre en compte pour prédire la répartition des espèces. L’objectif principal de ce travail de thèse a été de comprendre la réponse de la phénologie des espèces arborées au réchauffement climatique dans les Alpes et de développer des outils pour évaluer cette réponse dans le futur. Pour atteindre cet objectif nous avons utilisé des données phénologiques (débourrement, floraison, senescence foliaire,) pour le noisetier, le frêne, le bouleau, le mélèze et l’épicéa, issues du programme de sciences participatives Phénoclim.Nos résultats montrent que le réchauffement de l’hiver retarde la levée de la dormance des bourgeons et par conséquent les dates de débourrement et de floraison le long du gradient d’altitude. Cet effet est plus important à basse altitude. La robustesse des projections des modèles de répartition basés sur les processus dépend fortement de la robustesse des modèles phénologiques qu’ils utilisent. En comparant des modèles phénologiques présentant différents niveaux de complexité nous avons montré que les modèles basés sur les processus étaient les plus robustes particulièrement lorsque l’estimation de leurs paramètres reposait sur une estimation directe à l'aide de mesures expérimentales. Les modèles prévoient une réduction des écarts entre les dates de débourrement le long du gradient d'altitude pour toutes les espèces d'ici la fin du 21e siècle. Ceci est dû d’une part à un avancement des dates de débourrement à haute altitude et d’autre part à un retard des dates de débourrement à basse altitude. Nous avons également testé de nouvelles hypothèses sur le déterminisme environnemental de la croissance cellulaire dans les bourgeons, mais aucune des hypothèses testées n’a significativement amélioré les performances des modèles. Nous avons ensuite intégré les modèles phénologiques les plus performants que nous ayons obtenus au modèle d’aire de répartition basé sur les processus PHENOFIT. Nous avons réalisé pour la première fois avec ce modèle des simulations à haute résolution spatiale. Les projections du modèle montrent que les espèces arborées devraient se déplacer vers le haut du gradient d’altitude. Cependant, des phénomènes d’extinction locale pourraient avoir lieu dans les fonds des vallées liés à des dates de floraison trop tardives qui diminuerait le succès reproducteur des individus. Selon les espèces, la limite altitudinale supérieure serait contrôlée par le risque d'exposition au gel tardif des fleurs ou par la longueur de la saison de croissance qui détermine le temps disponible pour la maturation des fruits.L’ensemble de ces résultats nous a permis d’apporter des éléments de réponse sur la dynamique future des écosystèmes forestiers altitudes face au réchauffement climatique. Ils nous ont également permis de montrer que les données du programme Phénoclim étaient de qualité suffisante pour être utilisées dans des travaux de recherche scientifique.
Mountainous regions are particularly exposed to the ongoing climate change. Indeed, in the Western Alps the temperature increased twice faster than in the northern hemisphere during the 20th century. Trees’ annual cycle, as in many other organisms, is largely affected by climate change. Phenology and the fine temporal variations of climate appear key to predict species distribution. The main objective of this PhD thesis work was to understand the response of tree phenology to climate change in the Alps and to develop tools to evaluate this response in future conditions. It has been carried out using the phenological observations (budburst, flowering, leaf senescence) of five tree species (hazel, ash, birch, larch and spruce) of the citizen science program Phenoclim.Our results show that warmer winters slow down bud dormancy break, and consequently the budburst and flowering dates along the elevation gradient. This effect is stronger at low elevation. The robustness of process-based species distribution models depends strongly on the robustness of their process-based phenology sub-model. By comparing different phenology models differing in their level of complexity and we showed that process-based models were the most robust especially when their parameter estimates relied on forward estimation using experimental data. Models project a reduction in the phenological cline along the elevation gradient by the end of the 21th century. This is due, on one hand, to an advancement of the budburst dates at high elevation and on the other hand, to a delay of the budburst dates at low elevation. We also tested several hypotheses on the environmental determinism of bud cell growth. However, none of the hypotheses improved significantly the models’ performance. We then implemented the best phenology models we obtained in the process-based species distribution model PHENOFIT. We carried out for the first time simulations at high spatial resolution. Projections showed that species are expected to move up along the elevation gradient in response to climate change. However, local extinction events may occur in the bottom of the valleys due to late flowering dates that would decrease the reproductive success. Depending on the species, the upper altitudinal limit would be controlled by the risk of flowers’ exposure to late spring frost or to the length of growing season, which determine fruit maturation success.All of these results, allowed us to provide some answers on the future dynamics of high altitude ecosystems in the face of global climate change. They also allowed us to show that the Phenoclim data were of sufficient quality to be used to address important scientific questions.
Mountain regions are particularly susceptible and influenced by the effects of climate change. In the Alps, temperature increased two times faster than in the Northern Hemisphere during the 20th ...century. As an immediate response in certain tree species, spring phenological phases, such as budburst and flowering, have tended to occur earlier. However, recent studies have shown a slowing down of phenological shifts during the last two decades compared to earlier periods, which might be caused by warmer winters. Indeed, cold temperatures are required to break bud dormancy that occurs in early fall; and dormancy break is a prerequisite for cell elongation to take place in spring when temperature conditions are warm enough.Here we aimed at evaluating the effects of winter warming vs. spring warming on the phenological shift along mountain elevation gradients. We tested the hypothesis that a lack of chilling temperature during winter delayed dormancy release and subsequently spring phenological phases. For this, we used eight years of temperature and phenological records for five tree species (Betula pendula, Fraxinus excelsior, Corylus avellana, Picea abies and Larix decidua) gathered with the citizen science program Phenoclim (www.phenoclim.org) deployed over the French Alps.Our results showed that for similar preseason (i.e. after dormancy break) temperatures, warmer winters significantly delayed budburst and flowering along the elevation gradient (+0.9 to +5.6 days °C−1) except for flowering of Corylus and budburst of Picea. For similar cold winter temperatures, warmer preseasons significantly advanced budburst and flowering along the elevation gradient (−5.3 to −8.4 days °C−1). On average, the effect of winter warming was 2.3 times lower than the effect of spring warming. We also showed that warmer winter temperature conditions have a significantly larger effect at lower elevations.As a consequence, the observed delaying effect of winter warming might be beneficial to trees by reducing the risk of exposure to late spring frost on a short term. This could further lead to partial dormancy break at lower elevations before the end of the 21st century, which, in turn, may alter bud development and flowering and so tree fitness.
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