Next Article in Journal
Determinants of Farmers’ Climate-Smart Agriculture Adoption in the Photohar Region
Previous Article in Journal
Qualitative and Quantitative Characterization of Deadwood Related to the Accessibility of Managed Beech Forests of the Abruzzo, Lazio and Molise National Park
 
 
Please note that, as of 4 December 2024, Environmental Sciences Proceedings has been renamed to Environmental and Earth Sciences Proceedings and is now published here.
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Proceeding Paper

Climate Change, Forest Mortality, and the Need for a Solid Scientific Foundation in Forestry †

by
Rodney Arthur Savidge
Independent Researcher, Fredericton, NB E3B 4M6, Canada
Presented at the 3rd International Electronic Conference on Forests—Exploring New Discoveries and New Directions in Forests, 15–31 October 2022; Available online: https://iecf2022.sciforum.net/.
Environ. Sci. Proc. 2022, 22(1), 44; https://doi.org/10.3390/IECF2022-13072
Published: 17 October 2022

Abstract

:
Tree mortality is becoming more common in wild forests, plantations, and orchards. Remedial or preventative counteracting measures are limited because, before the onset of overt dying, reliable methods to distinguish intrinsically healthy trees from unhealthy trees are lacking. Survivotypes within dead populations can nevertheless be identified and conserved in support of achieving suitably adapted future forests.

1. Introduction

Death of plantation seedlings and young previously healthy trees is recognized as an increasingly widespread response to environmental stresses arising from climate change. The causes of death are probably numerous but are often uncertain. Genotype–environment interactions are the general explanation for phenotypic variation, and phenotypes of varied survival fitness are referred to here as ‘survivotypes.’ Similar to morphological phenotypes, centuries of horticultural and physiological research have shown survivotypes to vary within species, subspecies, and geographic populations.
The challenge for the profession is to sustain healthy trees and forests, to have the best survivotypes for each location. The molecular genetics community has proposed a hypothetical way forward [1,2,3,4], asserting that “understanding the genetic basis of adaptation to the environment via landscape genomics studies is essential for management interventions of tree species related to conservation and reforestation under climate change [5].” However, it is uncertain if environments can be characterized reliably. Wild-type populations that were assumed to be well adapted are displaying widespread mortality. Moreover, some evidence indicates that landscape genomics lacks sufficient insight into tolerance [6].
If data on tolerance limits of survivors of wild-type mortality events were available for comparison with known (i.e., measured) limits of seedling stock intended for afforestation or reforestation, they would bolster genomics inferences and refine the criteria used to choose stock capable of tolerating aseasonal changes and seasonal extremes.

2. Mortality, Environmental Change, and Survival Fitness

Mortality in forest populations has been explained hypothetically in terms of trees becoming predisposed due to old age, or being externally incited into impairment of physiological health, or by biotic attack, hence resulting in weakening and a spiraling cascade of decline eventually leading to death [7]. There are innumerable factors to consider in these regards; Table 1 provides a general listing. Arborists know from long-held experience that once a tree is overtly in decline, mitigation and recovery is improbable.
Tree death due to ‘old age’ alone is a physiologically nebulous concept. Viruses, mycoplasma, bacteria, fungal spores and other microorganisms settle upon scars following abscission and other types of wounding, and others enter with invasive animals. Some are believed to confer benefits while others produce toxins, digest cell walls, alter gene expression, or otherwise compromise tree health [7,8,9]. Once internalized, microbial spread is checked or compartmentalized by endogenous antagonists, but a chronic struggle to remain healthy must prevail throughout the life of every tree. Resistance eventually declines, decay ramifies, and trees give the impression of dying of old age.
Although observations of widespread mortality in populations of young, seemingly healthy trees following drought, soil freezing, insect epidemics, etc., are becoming more common, some individuals inexplicably survive (Figure 1). At the other extreme, forest communities are healthy, but isolated snags are nevertheless encountered. There are three plausible explanations: (1) trees of equivalent intrinsic fitness experience microsite variation in physical, chemical, or biotic environmental factors; (2) the microsite environment is uniformly constant, but intrinsic fitness varies; or (3) both intrinsic fitness and microsite vary. The environment comprises countless considerations, and fitness resides in both primary and secondary metabolism. So, excepting clonal populations of identical age, interactions between all possible combinations of fitness and microsite must be addressed to explain survival. This may appear to be a classic problem in genetics [10,11], but it involves an intractably huge number of poorly defined variables, beyond investigative capability for objectively unbiased discovery. More pragmatically, the genes, biochemistry, and physiology of survivors could be compared alongside those of dying trees.
The knowledge and technology needed post-mortem to deduce the cause of death are lacking, and reliable physiological methods for estimating and ranking the relative health status of living trees remain limited [12,13,14]. The overriding problem is that tree physiology knowledge remains far from complete, no matter which of the more than 70,000 tree species is considered. On the other hand, the fact that trees die within otherwise healthy communities and that rare individuals survive within populations undergoing general mortality can be viewed as an opportunity to discover the fundamental basis for tree health, and thus for progress toward ensuring forest sustainability.

3. Survivotype Tolerances and Variation in Intrinsic Survival Fitness

The extrinsic environment impinging upon trees and influencing intrinsic biochemistry and gene expression comprises a multitude of physical, chemical, and biotic phenomena, each of which by its variable and often unpredictable nature tests fitness. There can be no doubt that those phenomena have existed throughout the 394-million-year history of trees [15]. In other words, trees have evolved to tolerate changing environments, but precisely how they do so remains far from being well understood. Statistically-supported trends derived from observations on permanent sample plots and plantations, and unstated assumptions about future environments, have detracted from the performance of fundamental research to reveal the intrinsic basis for and limits of tolerance. The unexpected loss of a large numbers of trees is an awakening, challenging us to advance our understanding of all that affects tree health and determines the strengths and weaknesses of trees.
Forest scientists have investigated populations and communities, trying to understand how they function and change. However, conservation of survivotypes with exceptional fitness is still to become a priority. Tree scientists have investigated sub-cellular phenomena in efforts to understand how extrinsic factors influence growth, development, reproduction, and phenological variation, but only now is it being recognized that having increased knowledge about variation in the ranges and limits of tolerance is crucial for the sustainability of the terrestrial biosphere.
Based on what is presently known, a reasonable hypothesis is that at least some survivors in wild-type populations are in possession of exceptional tolerance limits. If research can confirm this, elucidation of the underlying physiological, biochemical, and genomic information within those survivotypes would contribute to forest sustainability and also provide needed precision for landscape genomics to make reliable recommendations. Research is needed such that the knowledge becomes pragmatically useful.
Tree improvement programs began early in the 20th century, and, at the outset, there was a focus on the discovery of variation in environmental tolerance [16,17]. However, this focus faded, not only because of an emphasis on commercial gain but also because it seemed obvious (on the assumption that the environment would remain constant) that trees demonstrably superior in commercial attributes were at least equal to wild types in survival fitness. Consequently, persuasive evidence for selected stock with a survival fitness equivalent to that of wild types remains to be provided. What if fast-growing trees are actually less fit? For example, photosynthate is essential for growth, but it also is used in the biosynthesis of storage reserves and the production of secondary metabolites of defense. If storage reserves or secondary metabolites are insufficient, “improvements” relevant to commerce may be a misnomer in relation to the greater concern of sustainability [18].
The stage has long been set to undertake seedling testing for the discovery of tolerance ranges and limits using various types of controlled environment chambers [19,20]. Advances in high-resolution satellite imagery have made it possible to identify mortality events in progress, and also the precise locations of survivors [21]. What is needed now is an entirely new tree science program in support of teams of field personnel, remote sensing technicians, physiologists, biochemists, molecular biologists, population geneticists, laboratory, greenhouse and nursery technicians, and more. Such a program will require no small undertaking, nor should it if there is to be any genuine confidence in the ability of humanity to sustain the terrestrial biosphere in a forested state.

4. Summary

A paradigm shift in tree-improvement programs is proposed, such that long overdue data are used to develop criteria enabling identification of suitably adapted stock for reforestation and afforestation of targeted geographic regions globally. Those data could be gained through investigations by tree scientists of mortality survivotypes and by determination of tolerance limits of putatively improved seedlings.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

University of New Brunswick Libraries made the literature available. This research received no external funding. Any errors or omissions are the author’s own.

Conflicts of Interest

The author declares no conflict of interest.

References

  1. Cortés, A.J.; Restrepo-Montoya, M.; Bedoya-Canas, L.E. Modern strategies to assess and breed forest tree adaptation to changing climate. Front. Plant Sci. 2020, 11, 583323. [Google Scholar] [CrossRef]
  2. Jia, K.-H.; Zhao, W.; Maier, P.A.; Hu, X.-G.; Jin, Y.; Zhou, S.-S.; Jiao, S.-Q.; El-Kassaby, Y.A.; Wang, T.; Wang, X.-R.; et al. Landscape genomics predicts climate change-related genetic offset for the widespread Platycladus orientalis (Cupressaceae). Evol. Appl. 2020, 13, 665–676. [Google Scholar] [CrossRef] [PubMed]
  3. Schwartz, M.K.; Luikart, G.; McKelvey, K.S.; Cushman, S.A. Landscape genomics: A brief perspective. In Spatial Complexity, Informatics, and Wildlife Conservation; Cushman, S.A., Huettmann, F., Eds.; Springer: Berlin/Heidelberg, Germany, 2009. [Google Scholar] [CrossRef]
  4. De Kort, H.; Vandepitte, K.; Bruun, H.H.; Closset-Kopp, D.; Honnay, O.; Mergeay, J. Landscape genomics and a common garden trial reveal adaptive differentiation to temperature across Europe in the tree species Alnus glutinosa. Mol. Ecol. 2014, 23, 4709–4721. [Google Scholar] [CrossRef] [PubMed]
  5. Feng, L.; Du, F.K. Landscape genomics in tree conservation under a changing environment. Front. Plant Sci. 2022, 13, 822217. [Google Scholar] [CrossRef] [PubMed]
  6. Cao, K.; Peng, Z.; Zhao, X.; Li, Y.; Liu, K.; Arus, P.; Fang, W.; Chen, C.; Wang, X.; Wu, J.; et al. Chromosome-level genome assemblies of four wild peach species provide insights into genome evolution and genetic basis of stress resistance. BMC Biol. 2022, 20, 139. [Google Scholar] [CrossRef]
  7. Manion, P.D. Tree Disease Concepts, 2nd ed.; Prentice Hall: Englewood Cliffs, NJ, USA, 1991; ISBN 9780139294235. [Google Scholar]
  8. Pirttilä, A.M.; Frank, A.C. (Eds.) Endophytes of Forest Trees, Biology and Applications, 2nd ed.; Springer: Berlin/Heidelberg, Germany, 2018; Volume 86, ISBN 978-3-319-89832-2. [Google Scholar]
  9. Rabiey, M.; Hailey, L.E.; Roy, S.R.; Grenz, K.; Al-Zadjali, M.A.S.; Barrett, G.A.; Jackson, R.W. Endophytes vs tree pathogens and pests: Can they be used as biological control agents to improve tree health? Eur. J. Plant Pathol. 2019, 155, 711–729. [Google Scholar] [CrossRef]
  10. Meyer, K. Factor-analytic models for genotype × environment type problems and structured covariance matrices. Genet. Sel. Evol. 2009, 41, 21. [Google Scholar] [CrossRef] [PubMed]
  11. van Eeuwijk, F.A.; Cooper, M.; DeLacy, I.H.; Ceccarelli, S.; Grando, S. Some vocabulary and grammar for the analysis of multi-environment trials, as applied to the analysis of FPB and PPB trials. Euphytica 2001, 122, 477–490. [Google Scholar] [CrossRef]
  12. Savidge, R.A. A healthy forest is a productive forest. For. Chron. 1997, 73, 749–752. [Google Scholar] [CrossRef]
  13. Steeves, V.J.; Savidge, R.A. Cambial coniferin content as an indicator of the health status of conifers. In Cell and Molecular Biology of Wood Formation; Savidge, R.A., Barnet, J., Napier, R., Eds.; BIOS Scientific Publ.: Oxford, UK, 2000; pp. 57–65. [Google Scholar]
  14. Tarmu, T.; Kiviste, A.; Näkk, A.; Sims, A.; Laarmann, D. The application of sonic tomography (PiCUS 3 sonic tomograph) to detect and quantify hidden wood decay in managed Norway spruce stands. Forests 2022, 13, 1260. [Google Scholar] [CrossRef]
  15. Savidge, R.A. Learning from the past—The origin of wood. For. Chron. 2008, 84, 498–503. [Google Scholar] [CrossRef]
  16. Burley, J. Tree breeding principles, a historical overview of forest tree improvement. In Encyclopedia of Forest Sciences; Burley, J., Ed.; Elsevier: Amsterdam, The Netherlands, 2004; pp. 1532–1538. ISBN 978-0-12-145160-8. [Google Scholar]
  17. Wheeler, N.C.; Steiner, K.C.; Schlarbaum, S.E.; Neale, D.B. The evolution of forest genetics and tree improvement research in the United States. J. For. 2015, 113, 500–510. [Google Scholar] [CrossRef]
  18. Huang, J.; Hammerbacher, A.; Gershenzon, J.; van Dam, N.M.; Sala, A.; McDowell, N.G.; Chowdhury, S.; Gleixner, G.; Trumbore, S.; Hartmann, H. Storage of carbon reserves in spruce trees is prioritized over growth in the face of carbon limitation. Proc. Natl. Acad. Sci. USA 2021, 118, e2023297118. [Google Scholar] [CrossRef] [PubMed]
  19. Van den Driessche, R. Prediction of cold hardiness in Douglas fir seedlings by index of injury and conductivity methods. Can. J. For. Res. 1976, 6, 511–515. [Google Scholar] [CrossRef]
  20. Warrington, I.J.; Rook, D.A. Evaluation of techniques used in determining frost tolerance of forest planting stock: A review. N. Z. J. For. Sci. 1980, 10, 116–132. [Google Scholar]
  21. Schepaschenko, D.; See, L.; Lesiv, M.; Bastin, J.-F.; Mollicone, D.; Tsendbazar, N.-E.; Bastin, L.; McCallum, I.; Bayas, J.C.L.; Baklanov, A.; et al. Recent advances in forest observation with visual interpretation of very high-resolution imagery. Surv. Geophys. 2019, 40, 839–862. [Google Scholar] [CrossRef]
Figure 1. An example of widespread mortality in a young natural spruce forest. Note the survivors.
Figure 1. An example of widespread mortality in a young natural spruce forest. Note the survivors.
Environsciproc 22 00044 g001
Table 1. Some environmental factors associated with tree mortality.
Table 1. Some environmental factors associated with tree mortality.
Anthropogenic
   Harvesting, land clearing, deliberate destruction
   Road salt, herbicides, over fertilization, toxic chemicals
   Soil compaction, root system severing
   Fire (deliberate, accidental)
Non-Anthropogenic
   Soil movement: erosion, avalanches, landslides
   Soil flooding, freezing
   Lake outbursts, volcanic eruptions, glacier flow
   Tornadoes, hurricanes, ice storms,
   Radiation: heat, cold, sunscald, UV, fire (e.g., lightning)
   Water and nutrient deficiencies
   Mammals, birds, insects, nematodes, other small animals
   Fungi, bacteria, phytoplasma, viruses
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Savidge, R.A. Climate Change, Forest Mortality, and the Need for a Solid Scientific Foundation in Forestry. Environ. Sci. Proc. 2022, 22, 44. https://doi.org/10.3390/IECF2022-13072

AMA Style

Savidge RA. Climate Change, Forest Mortality, and the Need for a Solid Scientific Foundation in Forestry. Environmental Sciences Proceedings. 2022; 22(1):44. https://doi.org/10.3390/IECF2022-13072

Chicago/Turabian Style

Savidge, Rodney Arthur. 2022. "Climate Change, Forest Mortality, and the Need for a Solid Scientific Foundation in Forestry" Environmental Sciences Proceedings 22, no. 1: 44. https://doi.org/10.3390/IECF2022-13072

APA Style

Savidge, R. A. (2022). Climate Change, Forest Mortality, and the Need for a Solid Scientific Foundation in Forestry. Environmental Sciences Proceedings, 22(1), 44. https://doi.org/10.3390/IECF2022-13072

Article Metrics

Back to TopTop