Giving a temporal context to drought and frost vulnerability of trees
Interaction of drought and frost in tree ecophysiology: rethinking the timing of risks
Range limits of forest species are frequently imposed by spatial gradients in climatic variables. Tolerance to maximum and minimum temperatures, including short-term extremes, and tolerance to desiccation are crucial limiting factors for plant survival and often appear interrelated (Box 1995; Choat et al. 2018). Increasing temperatures, more frequent and extreme droughts and late frost events associated with global climate change will affect the dynamics of forest ecosystems and have the potential to dramatically increase plant mortality and accelerate species range shifts if plants are not able to adapt in situ to the novel climate regimes (Parmesan 2006; Choat et al., 2012). This is particularly important at species range edges, where climatic conditions may not be sufficient to impose mortality on individuals directly, but trees experience greater physiological stress, which influences such factors as dispersal, habitat selection, and subsequent reproductive fitness (Parmesan 2006). In such marginal situations, where gene flow may be also restricted (López de Heredia et al. 2010), the effectiveness of adjustment through natural selection is limited resulting in increased vulnerability to extreme climatic events and to a higher risk of mortality of trees.
Tree responses to drought and frost have been extensively studied at many scales from ecophysiology to molecular biology across a large range of species inhabiting diverse biomes (Sakai and Larcher 1987; Bréda et al. 2006). Avoiding dehydration of tissues to maintain cellular viability and function is at the basis of the plant strategy to deal with both constraints as shown by Charrier et al. (2020). These authors go one step further and discuss the impact of the interaction of drought and frost on tree water status and carbon metabolism with special emphasis on the temporal context. Plants from temperate and boreal regions show changes in their resistance to freezing temperature throughout the year (Bower and Aitken 2006) and xylem becomes more resistant to cavitation with cambial age (Rodríguez-Zaccaro et al. 2019). Including timing in this framework involves incorporating phenology. This will be a fundamental step to model species distribution limits in the face of climate change since most observations of climate-change responses have involved alterations of species’ phenologies (Parmesan et al. 2006). For example, the onset of the growing season of trees in temperate Europe is 2.3 days ahead per decade during the last 40 years (Parmesan et al. 2006). Moreover, some studies have shown that climatic constraints limit species distribution mainly because of their impact in phenology rather than their impact on drought and frost mortality (Morin et al. 2007). However, longer growing seasons along with more frequent extreme events increase the probability of long-lived organisms such as trees to experience frosts and drought during the same growing season or one of them after uncompleted recovery of the other in some latitudes. Over the last decade much attention has been devoted to the recovery of growth and ecological function after stressful events (Lloret et al. 2011). Some dendroecological studies have shown for example that resilience to extreme droughts might be constrained by having experienced more frequent droughts, thus exceeding the potential for acclimation of the tree (Bose et al. 2020). Drought can result in chronic hydraulic impairment which can last moths to years (Anderegg et al. 2015) and for some species also in cavitation fatigue, i.e. a progressive increase in vulnerability to cavitation (Hacke et al. 2001), thus increasing vulnerability to subsequent drought and frost events.
Models have proved to be useful tools for synthetizing and integrating climate and soil properties with key functional traits in order to determine desiccation dynamics, carbon metabolism and plant survival during drought of frost (Martin-StPaul et al., 2017; Charrier et al. 2018; Blackman et al., 2019). However, models are currently limited by gaps in our understanding of the fundamental physiological mechanisms that constrain species ranges. Most common approaches to studying species range shifts are related to climatic niches and overlook the processes and traits involved in drought or frost tolerance (Cheaib et al. 2012). Process-based models based on plant hydraulics seem promising providing the link between environmental cues and plant responses, although disregarding carbon metabolism will not give us predictive understanding of system changes such as those due to climate fluctuations (Mackay et al. 2015). New modeling approaches need to be developed not only for better drought prediction performance but for the interaction of drought with other factors. Charrier et al. (2020) offer a framework for improving process-based models with the aim to provide better prediction of carbon and water economy, organ development and ultimately species distribution limits in the face of warmer winters and more frequent winter droughts at high altitudes and late frosts events.
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Revision round #22020-09-28
Decision round #2
I am really glad to inform you that your preprint has now been accepted with only minor editorial changes to improve the reading. Congratulations! It is definitely a very interesting manuscript for people working in plant abiotic stresses.
Reviewed by Sean Gleason, 2020-09-25 18:03
Revision round #12020-06-06
Decision round #1
Dear Dr Charrier and coauthors, Thank you for submitting your manuscript to PCI Forest and Wood Science, a new initiative to promote open science. Two referees have provided comments that you may find below this message. Both referees highlight that the topic is relevant, timely and of great importance to understand how climate constrains species natural distribution range. However, they found the manuscript difficult to follow in some parts and without a clear message and way forward suggesting to restructure the paper, specify the scale and time you are referring to in each section (Referee 1) and give more details about the modelling frame, construction and type (Referee 2). Some other issues were related to figures as they found them sometimes a bit disconnected to the text and Referee 1 claims for more clarity, particularly in figure 1. Both agree in explicitly point out that your opinion on “the way forward” for scientist working in abiotic stresses, their interaction and species distribution will be of great value.
I hope the referees’ comments and suggestions help you to improve the manuscript.
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