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Growth plasticity of conifers did not avoid declining resilience to soil and atmospheric droughts during the 20th century
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作者 Tong Zheng Jordi Martínez-Vilalta +4 位作者 Raúl García-Valdés antonio gazol J.Julio Camarero Changcheng Mu Maurizio Mencuccini 《Forest Ecosystems》 SCIE CSCD 2023年第2期238-251,共14页
Background:Plasticity in response to environmental drivers can help trees cope with droughts.However,our understanding of the importance of plasticity and physiological adjustments in trees under global change is limi... Background:Plasticity in response to environmental drivers can help trees cope with droughts.However,our understanding of the importance of plasticity and physiological adjustments in trees under global change is limited.Methods:We used the International Tree-Ring Data Bank(ITRDB)to examine 20th century growth responses in conifer trees during(resistance)and following(resilience)years of severe soil and atmospheric droughts occurring in isolation or as compound events.Growth resilience indices were calculated using observed growth divided by expected growth to avoid spurious correlations,in which the expected values were obtained by the autoregressive moving average(ARIMA)model.We used high atmospheric vapour pressure deficit(VPD)to select years of atmospheric drought and low annual values of the Standardized Precipitation-Evapotranspiration Index(SPEI)to select years with soil drought.We acquired the sensitivities(i.e.,the slopes of the relationships)by fitting the resilience indices as a function of environmental drivers,and assessed how these sensitivities changed over time for different types of drought events using linear mixed models.We also checked whether plasticity in growth responses was sufficient to prevent long-term trends of growth reductions during or after severe droughts.We acknowledge that by focusing on the response of surviving trees from the ITRDB we are potentially biasing our results towards higher resilience,as stand level responses(e.g.,mortality)may result in lowered competition after the disturbance event.Results:Sensitivities of resilience to VPD and SPEI changed throughout the 20th century,with the directions of these changes often reversing in the second half of the century.For the 1961–2010 period,changing sensitivities had positive effects on resilience,especially following years of high-VPD and compound events,avoiding growth losses that would have occurred if sensitivities had remained constant.Despite sensitivity changes,resilience was still lower at the end of the 20th century compared to the beginning of the century.Conclusions:Future adjustments to low-SPEI and high-VPD events are likely to continue to compensate for the trends in climate only partially,leading to further generalized reductions in tree growth of conifers.An improved understanding of these plastic adjustments and their limits,as well as potential compensatory processes at the stand level,is needed to project forest responses to climate change. 展开更多
关键词 Tree rings GROWTH Drought Vapor pressure deficit PLASTICITY ACCLIMATION
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Tree growth is more limited by drought in rear-edge forests most of the times
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作者 J.Julio Camarero antonio gazol +4 位作者 Gabriel Sangüesa-Barreda Marta Vergarechea Raquel Alfaro-Sánchez Nicolás Cattaneo Sergio M.Vicente-Serrano 《Forest Ecosystems》 SCIE CSCD 2021年第2期330-344,共15页
Background:Equatorward,rear-edge tree populations are natural monitors to estimate species vulnerability to climate change.According to biogeographical theory,exposition to drought events increases with increasing ari... Background:Equatorward,rear-edge tree populations are natural monitors to estimate species vulnerability to climate change.According to biogeographical theory,exposition to drought events increases with increasing aridity towards the equator and the growth of southern tree populations will be more vulnerable to drought than in central populations.However,the ecological and biogeographical margins can mismatch due to the impact of ecological factors(topography,soils)or tree-species acclimation that can blur large-scale geographical imprints in trees responses to drought making northern populations more drought limited.Methods:We tested these ideas in six tree species,three angiosperms(Fagus sylvatica,Quercus robur,Quercus petraea)and three gymnosperms(Abies alba,Pinus sylvestris and Pinus uncinata)by comparing rear-edge tree populations subjected to different degrees of aridity.We used dendrochronology to compare the radial-growth patterns of these species in northern,intermediate,and southern tree populations at the continental rear edge.Results and conclusions:We found marked variations in growth variability between species with coherent patterns of stronger drought signals in the tree-ring series of the southern populations of F.sylvatica,P.sylvestris,and A.alba.This was also observed in species from cool-wet sites(P.uncinata and Q.robur),despite their limited responsiveness to drought.However,in the case of Q.petraea the intermediate population showed the strongest relationship to drought.For drought-sensitive species as F.sylvatica and P.sylvestris,southern populations presented more variable growth which was enhanced by cool-wet conditions from late spring to summer.We found a trend of enhanced vulnerability to drought in these two species.The response of tree growth to drought has a marked biogeographical component characterized by increased drought sensitivity in southern populations even within the species distribution rear edge.Nevertheless,the relationship between tree growth and drought varied between species suggesting that biogeographical and ecological limits do not always overlap as in the case of Q.petraea.In widespread species showing enhanced vulnerability to drought,as F.sylvatica and P.sylvestris,increased vulnerability to climate warming in their rear edges is forecasted.Therefore,we encourage the monitoring and conservation of such marginal tree populations. 展开更多
关键词 Climate change DENDROECOLOGY Latitudinal gradient Mediterranean forests Standardized evapotranspiration precipitation index(SPEI)
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