This preprint (Bouffier et al, 2023) analyses different biological (tree genotype, age, flowering phenology) and environmental factors (vicinity with external pollen sources, orchard structure, soil type, climatic conditions) with influence on the of seed lots in seed orchards of an important forest tree species (Pinus pinaster Ait.).  The analysis is based on an optimized set of 60 SNP markers that constitute a new tool for characterizing improved material in the breeding program of the species.

One of the main questions when managing seed orchard is to obtain a precise estimation of pollen contamination, as it causes major losses to genetic improvement from selection and breeding (Di Giovanni and Kevan, 19911) but also will determine the adaptive potential of the species (Kremer et al. 2012). The results indicate that contamination rates were highly variable between seed lots (from 20 to 96%), with a mean value of 50%). The main factors determining these rates include the distance between the seed orchard and external pollen sources, rain during the pollination period, seed orchard age, soil conditions and seed parent identity. 

A second point of interest in this paper is the determination of the overall self-fertilization rate. This factor also determines the quality of the seed-lots and was estimated as 5.4%, with high variability between genotypes (from 0% to 26%). The overall value is of the same order of magnitude than in other species. 

These results are used to define some recommendations for managing seed orchards in the French breeding program, but that can be generalized to other species (eg. Mullin and Lee, 2013). As an example, they recommend that sampling 100 seeds annually should be sufficient to estimate pollen contamination (with a standard error of 5%). Also, they suggest that one of the main measures to reduce pollen contamination is carefully selecting the location of the orchard, in terms of its distance from external pollen sources and soil conditions, and not collecting seeds from young trees (below 8 years old). 

The present preprint revisits an important topic of research with interest for the biology of tree species, but also with great implications in applied breeding activities. The main conclusions are essential to understand the importance of different factors in managing seed orchards and in the future performance of the reproductive material. 

In conclusion, this paper stresses the need for more studies, taking advantage of new genomic tools, to advance the knowledge of factors influencing the success of breeding programs.

REFERENCES

Bouffier L, Debille S, Alazard P, Raffin A, Pastuszka P, Trontin JF (2023). Pollen contamination and mating structure in maritime pine (Pinus pinaster Ait.) clonal seed orchards revealed by SNP markers. bioRxiv, 2022.09.27.509769, ver. 2 peer-reviewed and recommended by Peer Community in Forest and Wood Science. https://doi.org/10.1101/2022.09.27.509769

Di-Giovanni F, Kevan PG (1991) Factors affecting pollen dynamics and its importance to pollen contamination: a review. Can J For Res 21(8):1155-1170.
https://doi.org/10.1139/x91-163
 
Kremer A, Ronce O, Robledo-Arnuncio JJ, Guillaume F, Bohrer G, Nathan R, Bridle JR, Gomulkiewicz R, Klein EK, Ritland K, Kuparinen A, Gerber S, Schueler S (2012) Long-distance gene flow and adaptation of forest trees to rapid climate change. Ecol Lett 15(4):378-92.
https://doi.org/10.1111/j.1461-0248.2012.01746.x

Mullin TJ, Lee SJ (2013) Best practice for tree breeding in Europe. Skogforsk, Uppsala, Sweden. ISBN: 530 978-91-977649-6-4. https://www.skogforsk.se/contentassets/42acda01f83843bf925f690bd0a6ed37/best-practice-hela-low.pdf

​​​​​Fires in the Anthropocene, whether natural or human-induced, are among the main factors of deforestation, threatening forest resilience and biodiversity (Kelly et al. 2020). Fire events have also increased in occurrence and severity worldwide in the past decade (e.g. Whitman et al. 2022, Ribeiro et al. 2020). In this context, we need to better understand the links between fire occurrence and their impact on forest loss, especially in countries where such knowledge is lacking.

The work by Martinez-Batlle addresses this need as it thoroughly describes forest loss and fire patterns across the forests of the Dominican Republic (DR), and systematically tests their spatial and temporal correlations across the DR regions since 2001. To this end, the author combines two independent databases from NASA: the Global Forest Change 2000-2018 data service, and remotely sensed data on fire/hotspot occurrence. The author then provides a state-of-the-art analysis pipeline that first shows significant spatial autocorrelations in both forest loss and fire density over the whole period, and each year across the period. Detailed maps of zonal statistics across hexagonal grids also illustrate clusters of either high or low forest loss and fire points, and distinguish small or large clearings. Second, these spatial dependencies are accounted for in spatial autoregressive models, and congruent patterns of forest loss and fire density are shown across the 2001-2018 period in the DR. This is consistent with the initial working hypothesis of a link between deforestation and slash and burn agriculture. Third, detailed time-series analyses and modelling show common cyclical patterns for forest loss areas in large clearings, number of small clearings, and fire density in the first 14 years, with no increasing trends. In contrast, fire density does not predict extensive forest loss in the eastern half of the country for most years. Finally, yearly maps clearly depict uncontrolled wildfires that impacted larger areas in recent years in both the central and southern mountain ranges of the DR.

This work, therefore, provides a solid, detailed, and rigorous account of the current status of forest loss across the DR, and of its causes, either from recurrent fires due to shifting agriculture or from farming linked to tourism expansion. These results could be very useful for designing strategies adapted to each particular zone of the DR, for preventing human-induced fires or managing wildfires, and for planning post-fire reforestation. This is true, especially for core protected areas where an increasing trend of forest loss is identified in the last 8 years (up to 25% in some mountainous and inaccessible areas of the DR). In those areas, the author suggests implementing a natural regeneration program. Indeed, recent scientists’ warnings stress that fires should be accounted for when planning reforestation for climate change mitigation (Leverkus et al. 2022), with evidence in different ecosystems, that natural regeneration with local seed banks would benefit their post-fire recovery. As proposed by the author, this new knowledge for the DR should also help develop policies for managing forest fires and biodiversity, which are lacking in areas close to tourism facilities. More generally, this study offers methods and graphical representations that are likely to inspire future work with similar databases in other countries where data are scarce, on either spatial trends or temporal evolution of forest cover, or fire activities, or both.

References

Kelly LT, Giljohann KM, Duane A, Aquilué N, et al. (2020). Fire and biodiversity in the Anthropocene. Science, 370(6519), eabb0355. https://doi.org/10.1126/science.abb0355

Leverkus AB, Thorn S, Lindenmayer DB, Pausas JG (2022) Tree planting goals must account for wildfires. Science 376(6593): 588-589. https://doi.org/10.1126/science.abp8259

Martinez Batlle JR (2022) Fire and forest loss in the Dominican Republic during the 21st Century. bioRxiv, 2021.06.15.448604, ver. 4 peer-reviewed and recommended by Peer Community in Forest and Wood Science. https://doi.org/10.1101/2021.06.15.448604

Ribeiro LM, Viegas DX, Almeida M, McGee TX, et al. (2020) 2 - Extreme wildfires and disasters around the world: lessons to be learned. In F. Tedim, V. Leone, T.K. McGee (Eds.), Extreme Wildfire Events and Disasters, Elsevier Inc. 31-pp. 51. https://doi.org/10.1016/B978-0-12-815721-3.00002-3

Whitman et al. (2022) Climate-induced fire regime amplification in Alberta, Canada. Environ. Res. Lett. 17(5): 055003. https://doi.org/10.1088/1748-9326/ac60d6

Trees are constantly subjected to mechanical stresses (gravity, wind, storms) but they have a remarkable ability to remain upright despite their great size. Straightness is also major characteristic that greatly determines the quality and market value of a log. For some species, maritime pine in particular, this is even a default that geneticists are trying to correct through dedicated breeding programs (Bartholomé et al. 2016). If trees are able to maintain a straight trunk, or to return to straightness after a growth accident, for example, it is thanks to an "engine" whose mechanisms are now better known (Moulia et al. 2021). This mechanism lies in the structure of the trunk itself and the ability of trees to produce cells and tissues that display different mechanical properties during their maturation. Some fibers will "pull" the trunk in one direction, known as tension wood, while others will « push » it in the opposite direction (compression wood). The posture control of a tree is therefore directly related to the growth process of the trees and the placement of this reaction wood at specific points in the trunk. The internal structure of the trunk will therefore retain the memory of these growth constraints throughout its life and, if we are able to read it, we can envisage reconstructing its history over the years. This source of information contained in tree rings is still largely unexplored. However, it can reveal insights into the evolution of the climate, or help foresters to select the most valuable trees. Sophisticated approaches exist to measure these growth forces in wood, but the major difficulty remains our ability to read the mechanical properties with simpler, more widely used methods. The article by Thibaut and Gril (2021) proposes such a methodology.

The approach used here is similar to the one used for other wood functions, such as sap transport: linking the mechanical function of wood to its structural properties. The transport capacity of wood is for example well explained by the distribution of vessel sizes. However, other interesting properties, such as resistance to cavitation, are only very weakly explained by the same anatomical characteristics. The authors, after analyzing the wood properties of many species, both tropical and temperate, conclude that growth forces can be deduced from variables that are relatively simple to measure, such as wood density or moduli of elasticity.  The article provides a series of generic and more specific equations and relationships that allow these growth forces to be estimated. 

I recommend this article to people who want to learn about the principles and concepts of tree biomechanics. I also recommend it to people who want to further explore the mechanical properties of trees and who will be able to characterize them thanks to the method proposed here by the authors.  

References

Bartholomé J, Bink MC, Heerwaarden J van, Chancerel E, Boury C, Lesur I, Isik F, Bouffier L, Plomion C (2016) Linkage and Association Mapping for Two Major Traits Used in the Maritime Pine Breeding Program: Height Growth and Stem Straightness. PLOS ONE, 11, e0165323. https://doi.org/10.1371/journal.pone.0165323

Thibaut B, Gril J (2021) Tree growth forces and wood properties. HAL, hal-02984734, ver. 4 peer-reviewed and recommended by Peer community in Forest and Wood Sciences. https://hal.archives-ouvertes.fr/hal-02984734

Moulia B, Douady S, Hamant O (2021) Fluctuations shape plants through proprioception. Science, 372. https://doi.org/10.1126/science.abc6868

When we launched the multidisciplinary PCI Forest and Wood Sciences, we were well aware that this PCI devoted to a broad object (forests represent 1/3 of the emerged land area) and gathering multiple disciplines (from biology to social sciences), would be confronted with some challenges with respect to the range of pre-prints we would have to consider. Among the first ones submitted to the new PCI was this very interesting one (Lang et al, 2021) in the area of tree genomics and tree population genetics with a strong background in bioinformatics. This could well have been submitted to the PCI in Genomics, or the PCI in Evolutionary Biology, but finally fits very well in PCI Forest and Wood Sciences due to its finality: provide reliable genomic resources to tackle questions that are central to our understanding of the dynamics of forest ecosystems and the adaptation of trees to local conditions.
The phylogenetic status of the two sympatric oak species Quercus robur L. and Q. petraea Matt. Liebl. is an important question that was the center of in depth investigations by the BioGeCo research group at Bordeaux in cooperation with many European groups. The two species are major forest tree species in western Europe, structuring important ecosystems and providing high quality wood and other important ecosystem services. These species are considered to build up what is now called a “syngameon” together with a few other western European white oaks (Cannon and Petit, 2019). A syngameon is a complex of species exchanging genes, while still maintaining some degree of interspecific diversity enabling to differentiate, on the basis of leaf morphology for instance, the originally described species (Kremer et al, 2002 among many others dealing with the identification of oak species on the basis of their phenotype). The full sequencing of the genome of Q. robur (Plomion et al, 2018) opened an avenue for the development of new genomic tools to investigate the concept of species in this syngameon and to identify gene flows between populations and species. To date, whole genome sequencing and annotation is completed for Q. robur, Q. lobata Née, Q. suber L., and Fagus sylvatica L. (Plomion and Martin, 2020).
The preprint of Lang et al (2021) builds up on this background and provides a very interesting and important contribution to this area. First, it provides access to a very large data base of genomic sequences, based on 800 gene fragments and identified 12500 Single Nucleotide Polymorphisms (SNPs) as well as 1500 insertions deletions. 11 individuals assigned to the species Q. robur, 13 assigned to Q. petraea and 1 to Q. ilex L. were used to establish this data base. This is an important asset for developing future research on species identification based on their genomes. In full agreement to the policy of all PCIs about data availability, full access is provided to the data under a free use license CC-BY.
The manuscript has already a long history as a preprint and it was not that easy to find reviewers willing to do the job of reviewing such a large amount of information with a lot of technical details. At the end, we succeeded and obtained three very enthusiastic and positive reviews (attached to this recommendation). All reviewers agreed that this was an important contribution in the field, insisted on the quality of the writing and of the provided data, and finally agreed that the manuscript was to be recommended after a careful revision. The revision was readily done by the authors. One of the reviewers found that the preprint is close to a “data paper”, i.e., a paper providing the required information to enable (and advertise) the reuse of an important data set, which is only partly true. Indeed, the authors nicely used their data to address one of the most debated questions about the population genetics: how comes that in this syngameon, with inter-fertile individuals, clearly distinguishable species (from the phenotype at least) have been maintained?
The main result of the preprint is that indeed there are some (only few) genomic differences among the two species in the patterns of distribution of the SNPs, but also that the patterns reveal a clear introgression of the genome of one of the species into the other one. This was based on a Bayesian clustering analysis reported figure 3, evidencing that 2 individuals displaying an unambiguous Q. petraea phenotype could not be assigned to any of the species. The usual hypothesis postulates an introgression of the Q. robur genome, the pioneer species able to colonize open areas during the post-glacial recolonization into that of Q. petraea, due to hybridization and successive events of back gross with inflowing Q. petraea pollen. Such an introgression was hypothesized decades ago, and receives here some degree of confirmation. Recent findings showed the importance of such an introgression for the adaptation of local oak populations to altitudinal gradients (Leroy et al, 2020).
Given the importance of the contribution (both from the point of view of the development of new genomic tools and from that of our understanding of the population genetics in the oak syngameon, I do recommend this preprint in the frame of the PCI Forest and Wood Sciences after an insightful peer reviewing and a very careful revision leading to the current version 4 of this preprint.
 

References

Cannon CH, Petit RJ (2020) The oak syngameon: more than the sum of its parts. New Phytologist, 226, 978–983. https://doi.org/10.1111/nph.16091
 
Kremer A, Dupouey JL, Deans JD, Cottrell J, Csaikl U, Finkeldey R, Espinel S, Jensen J, Kleinschmit J, Dam BV, Ducousso A, Forrest I, Heredia UL de, Lowe AJ, Tutkova M, Munro RC, Steinhoff S, Badeau V (2002) Leaf morphological differentiation between Quercus robur and Quercus petraea is stable across western European mixed oak stands. Annals of Forest Science, 59, 777–787. https://doi.org/10.1051/forest:2002065
 
Lang T, Abadie P, Léger V, Decourcelle T, Frigerio J-M, Burban C, Bodénès C, Guichoux E, Provost GL, Robin C, Tani N, Léger P, Lepoittevin C, Mujtar VAE, Hubert F, Tibbits J, Paiva J, Franc A, Raspail F, Mariette S, Reviron M-P, Plomion C, Kremer A, Desprez-Loustau M-L, Garnier-Géré P (2021) High-quality SNPs from genic regions highlight introgression patterns among European white oaks (Quercus petraea and Q. robur). bioRxiv, 388447, version 4 peer-reviewed and recommended by PCI Forest and Wood Sciences. https://doi.org/10.1101/388447
 
Leroy T, Louvet J-M, Lalanne C, Provost GL, Labadie K, Aury J-M, Delzon S, Plomion C, Kremer A (2020) Adaptive introgression as a driver of local adaptation to climate in European white oaks. New Phytologist, 226, 1171–1182. https://doi.org/10.1111/nph.16095
 
Plomion C, Aury J-M, Amselem J, Leroy T, Murat F, Duplessis S, Faye S, Francillonne N, Labadie K, Le Provost G, Lesur I, Bartholomé J, Faivre-Rampant P, Kohler A, Leplé J-C, Chantret N, Chen J, Diévart A, Alaeitabar T, Barbe V, Belser C, Bergès H, Bodénès C, Bogeat-Triboulot M-B, Bouffaud M-L, Brachi B, Chancerel E, Cohen D, Couloux A, Da Silva C, Dossat C, Ehrenmann F, Gaspin C, Grima-Pettenati J, Guichoux E, Hecker A, Herrmann S, Hugueney P, Hummel I, Klopp C, Lalanne C, Lascoux M, Lasserre E, Lemainque A, Desprez-Loustau M-L, Luyten I, Madoui M-A, Mangenot S, Marchal C, Maumus F, Mercier J, Michotey C, Panaud O, Picault N, Rouhier N, Rué O, Rustenholz C, Salin F, Soler M, Tarkka M, Velt A, Zanne AE, Martin F, Wincker P, Quesneville H, Kremer A, Salse J (2018) Oak genome reveals facets of long lifespan. Nature Plants, 4, 440–452. https://doi.org/10.1038/s41477-018-0172-3
 
Plomion C, Martin F (2020) Oak genomics is proving its worth. New Phytologist, 226, 943–946. https://doi.org/10.1111/nph.16560

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.

References

Anderegg WR, Schwalm C, Biondi F, Camarero JJ, Koch G, Litvak M, Ogle K, Shaw JD, Shevliakova E, Williams A (2015) Pervasive drought legacies in forest ecosystems and their implications for carbon cycle models. Science 349: 528–532. doi: https://doi.org/10.1126/science.aab1833
Blackman CJ, Li X, Choat B, Rymer PD, De Kauwe MG, Duursma RA, Tissue DT, Medlyn BE (2019) Desiccation time during drought is highly predictable across species of Eucalyptus from contrasting climates. New Phytologist 224: 632-643. doi: https://doi.org/10.1111/nph.16042
Box EO (1995) Factors determining distributions of tree species and plant functional types. Vegetatio 121, 101–116 (1995). doi: https://doi.org/10.1007/BF00044676
Bower AD, Aitken SN (2006) Geographic and seasonal variation in cold hardiness of whitebark pine. Can J For Res 36:1842–1850. doi: https://doi.org/10.1139/x06-067
Bréda N, Huc R, Granier A, Dreyer E (2006) Temperate forest trees and stands under severe drought:  a review of  ecophysiological responses, adaptation processes  and long-term consequences. Ann. For. Sci. 63: 625-644. doi: https://doi.org/10.1051/forest:2006042
Charrier G, Lacointe A, Améglio T (2018) Dynamic modeling of carbon metabolism during the dormant period accurately predicts the changes in frost hardiness in walnut trees Juglans regia L. Frontiers in Plant Science, 9: 1746. doi: https://doi.org/10.3389/fpls.2018.01746
Charrier G, Martin-Stpaul N, Damesin C, Delpierre N, Hänninen H, Torres-Ruiz J, Hendrik Davi H (2020) Interaction of drought and frost in tree ecophysiology: rethinking the timing of risks. HAL, 02475505, ver. 4 peer-reviewed and recommended by PCI Forest & Wood Sciences. https://hal.archives-ouvertes.fr/hal-02475505v4
Cheaib A, Badeau V, Boe J, Chuine I, Delire C, Dufrêne E, François C, Gritti ES, Legay M, Pagé C (2012) Climate change impacts on tree ranges: model intercomparison facilitates understanding and quantification of uncertainty. Ecology Letters 15(6): 533-544. doi: https://doi.org/10.1111/j.1461-0248.2012.01764.x
Choat B, Jansen S, Brodribb TJ, Cochard H, Delzon S, et al. (2012) Global convergence in the vulnerability of forests to drought. Nature 491, 752–755. doi: https://doi.org/10.1038/nature11688
Choat B, Brodribb TJ, Brodersen CR, Duursma RA, López R, Medlyn BE (2018) Triggers of tree mortality under drought. Nature 558(7711): 531-539. doi: https://doi.org/10.1038/s41586-018-0240-x
Hacke UG, Stiller V, Sperry JS, Pittermann J, McCulloh KA (2001) Cavitation fatigue. Embolism and refilling cycles can weaken the cavitation resistance of xylem. Plant Physol., 125(2), 779–786. doi: https://doi.org/10.1104/pp.125.2.779
Lloret F, Keeling EG, Sala A (2011) Components of tree resilience: effects of successive low‐growth episodes in old ponderosa pine forests. Oikos, 120: 1909-1920. doi: https://doi.org/10.1111/j.1600-0706.2011.19372.x
López de Heredia U, Venturas M, López R, Gil L (2010) High biogeographical and evolutionary value of Canary Island pine populations out of the elevational pinebelt: the case of a relict coastal population. J. Biogeogr. 37, 2371–2383. doi: https://doi.org/10.1111/j.1365-2699.2010.02367.x
Mackay DS, Roberts DE, Ewers BE, Sperry JS, McDowell NG, Pockman WT (2015) Interdependence of chronic hydraulic dysfunction and canopy processes can improve integrated models of tree response to drought, Water Resour. Res., 51, 6156–6176. doi: https://doi.org/10.1002/ 2015WR017244
Martin-StPaul N, Delzon S, Cochard H (2017) Plant resistance to drought depends on timely stomatal closure. Ecology Letters 20(11): 1437-1447. doi: https://doi.org/10.1111/ele.12851
Morin X, Augspurger C, Chuine I (2007) Process-based modeling of species' distributions: what limits temperate tree species' range boundaries? Ecology 88(9):2280-2291. doi: https://doi.org/10.1890/06-1591.1 PMID: 17918406.
Parmesan C (2006) Ecological and evolutionary responses to recent climate change. Annual Review of Ecology and Systematics 37, 637–669. doi: https://doi.org/10.1146/annurev.ecolsys.37.091305.110100
Rodriguez‐Zaccaro FD, Valdovinos‐Ayala J, Percolla MI, Venturas MD, Pratt RB, Jacobsen AL (2019) Wood structure and function change with maturity: Age of the vascular cambium is associated with xylem changes in current‐year growth. Plant Cell Environ.42: 1816– 1831. doi: https://doi.org/10.1111/pce.13528
Sakai A, Larcher W (1987) Frost survival of plants. Ecol Stud. 62: 1– 321. doi: https://doi.org/10.1007/978-3-642-71745-1