Short Communication |
Corresponding author: Andrew V. Gougherty ( andrew.gougherty@usda.gov ) Academic editor: Brad Murray
© 2023 Andrew V. Gougherty.
This is an open access article distributed under the terms of the CC0 Public Domain Dedication.
Citation:
Gougherty AV (2023) Emerging tree diseases are accumulating rapidly in the native and non-native ranges of Holarctic trees. NeoBiota 87: 143-160. https://doi.org/10.3897/neobiota.87.103525
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Emerging infectious diseases threaten natural and managed trees worldwide – causing reduced vigour, increased mortality and, occasionally, extirpation – yet we have little understanding of how emerging diseases have accumulated over time and how accumulation has varied by host species, host nativity and in different global regions. To address this challenge, I assembled over 900 new disease reports on 284 tree species in 88 countries and quantified how emerging infectious diseases have accumulated geographically and on different hosts. I show disease accumulation is increasing rapidly globally, with numerous recent years having nearly twice the number of new records as the twenty-year average and the number of new reports doubling every ~ 11 years. Of the tree genera assessed, Pinus had by far the most new diseases reported over the last several decades, likely reflecting both its large native range in the Northern Hemisphere and its wide use in forestry globally. Most hosts tend to accumulate more diseases in their native ranges than their non-native ranges, consistent with pathogen introductions causing most new diseases. Europe and Central Asia had the most accumulated emerging diseases, but accumulation is also increasing rapidly in East Asia. This work suggests that the impacts of emergent tree diseases are likely to continue to compound in the future and threaten native and planted forests worldwide.
emerging infectious diseases, global trends, host jumps, non-native plants, plant pathogens, pathogen accumulation
Emerging infectious diseases (EIDs) – defined as diseases that have, in the past several decades, expanded their host breadth, geographic range, increased in severity or are newly discovered, recognized or re-emerged (
Increased global trade and connectivity and shifting environmental conditions have facilitated the emergence of many infectious diseases, with most EIDs being due to introductions and weather events (
Changing biotic communities have also facilitated the emergence of EIDs. Many pathogen and insect pest species have been known to track their hosts to new regions, which may then spill over to new hosts.
While much is known about the spread and emergence of some individual, particularly high impact, EIDs (e.g.
To find relevant reports of new EIDs, I searched the primary literature using multiple databases. Searches primarily involved identifying records where pathogens were identified on new hosts, new geographic regions or were reported to be increasing in severity. The plant pathology literature has a history of reporting such records as “First reports” which typically involve researchers describing the location, host and symptoms of the disease and the approach used to verify the pathogen. This often involves validating Koch’s postulates (an established approach to demonstrate a causal link between a disease and suspected pathogenic microorganisms) for fungi, bacteria and nematodes, performing molecular techniques for viruses and phytoplasmas and morphological verification for parasitic plants. These new results are often published with titles such as “First report of [pathogen] causing [disease] on [host] in [locale].”
I used several approaches to find relevant reports of recent EIDs. First, I searched multiple online databases for “first report”, “first record”, “first occurrence”, “newly reported”, “for the first time” and “first finding”. Searches were primarily conducted with PubAg and PubMed and Wiley Publishers for a select number of publication titles not included in PubAg. PubAg is a public catalogue of agriculture-related publications and was accessed by the PubAg API (https://pubag.nal.usda.gov/apidocs) with R statistical software (v.4.2.0). Searches involved querying article titles in seventeen plant-based journals including “Archiv für Phytopathologie und Pflanzenschutz”, “Australasian plant disease notes”, “Australasian plant pathology”, “Bulletin OEPP”, “Canadian Journal of plant pathology”, “Crop protection”, “European Journal of plant pathology”, “Forest pathology”, “Journal of general plant pathology”, “Journal of plant pathology”, “Microbial pathogenesis”, “Phytoparasitica”, “Phytopathologische Zeitschrift”, “Plant disease”, “Plant health progress”, “Plant pathology” and “Plant Protection Science.” Searches were limited to the years 2000 to 2022 to align with the temporal definition of emerging diseases and to capture the most recent EIDs. Although records from 2022 may be incomplete, as the final search was conducted in January 2023, these records were, nevertheless, included as they represent the most recently-confirmed EIDs. Any reports currently listed as a “First look”, before publication in a journal issue, were assigned to 2022.
Next, I searched CAB Direct for the same terms as those above (i.e. “first report”, “first record” etc.). CAB Direct is a unique resource as it indexes scientific publications, reports and conference abstracts (many of which, CABI states, are unavailable elsewhere) published in over a hundred countries and over 80 languages. Finally, I manually searched the table of contents of “Plant Disease” – Disease Notes, “New Disease Reports”, “Forest Pathology” and “Plant Pathology” for relevant records. Although I attempted to be comprehensive in these searches by using multiple search terms and multiple unique databases, it is likely that some relevant EID reports were unintentionally omitted.
As this work was focused on tree species and, in particular, species that have extensive native and non-native ranges, I focused on a select number of species-rich host tree genera mostly native to the Holarctic, including Abies, Acacia, Acer, Alnus, Betula, Carya, Castanea, Eucalyptus, Fagus, Fraxinus, Juglans, Larix, Picea, Pinus, Platanus, Populus, Pseudotsuga, Quercus, Robinia, Tectona, Thuja, Tilia, Tsuga and Ulmus. Genera mostly from the Holarctic were selected because: (i) higher latitude species tend to have larger geographic ranges than low latitude species (i.e. Rapoport’s rule) – thus, they many exist as natives or non-native in many regions, (ii) these genera represent some of the most widely grown species for forestry and cultivation and occasionally act as invasives and (iii) European (
After searching for all new disease reports, titles were searched for the common and scientific names of the tree genera listed above. Any record that matched was retained for further analysis. Next, to partially automate the data gathering process, titles were searched for country names and pathogen names. I used the country-code package in R statistical software (v.4.2.0) (
Host nativity was determined using the GlobalTreeSearch (GTS; https://tools.bgci.org/global_tree_search.php), which maintains checklists of native trees for nearly all countries (
I assessed the temporal accumulation of EIDs globally and separately for multiple geographic regions and host genera. Accumulation was calculated simply as the cumulative sum of new reports published since 2000. While I acknowledge publication may occur several years after sampling, which may itself be several years after the disease initially emerged, publication year was the only consistently reported time-stamp and represents the time the information became widely available. Exponential models were fitted to accumulation curves to visualise increasing accumulation (concave upwards) versus saturation (concave downwards). An exponential model was chosen as the rate of new reports is expected to change over time, contingent on host species and geographic region and whether new reports are increasing or declining. Compared to a linear model, an exponential model should be able to capture the changing rate of accumulation over time. Models were fitted with the nls function in the stats package (
As most countries and tree genera have more native than non-native tree species, the accumulation curves and models were also plotted after standardising the cumulative sum by the number of native and non-native species. These plots and analyses thus represent the number of EID reports per species, thereby controlling for the unequal frequency of native and non-native species.
In addition to quantifying the temporal accumulation of EID reports, I also assessed the relationship between the number of EID reports and the accumulated number of total agricultural and biological documents published in literature, extracted from Scimago Journal & Country Rank (
In total, 962 host-pathogen-location EIDs were identified, from 2000 onwards, across 24 host genera (including > 280 species) and 88 countries. Globally, reports of EIDs have increased rapidly over time (Fig.
a geographic distribution and b temporal accumulation of 962 first reports of tree EIDs since 2000 for 24 tree genera. Note the scale in (a) has been log10 transformed and no reports of EIDs were found for countries coloured grey. Models in (b) were fitted as y ~ a × exp(b × x) + c, where y is the cumulative number of new reports and x is the number of years elapsed since 2000 (the first year of data collection). To facilitate interpretation and visualisation, x was back-transformed to year (by adding 2000). Native and non-native reports in (b) do not always sum to the total, as numerous host species had ambiguous geographic origins.
Interestingly, the patterns of accumulation differed by region (Fig.
Temporal accumulation of first reports of tree EIDs since 2000 for four geographic regions and 24 tree genera. Models were fitted as y ~ a × exp(b × x) + c, where y is the cumulative number of new reports and x is the number of years elapsed since 2000 (the first year of data collection). To facilitate interpretation and visualisation, x was back-transformed to year (by adding 2000). See also Suppl. material
Pathogen accumulation on native and non-native trees in East Asia were similar to those in North America and Europe, but seemed to be increasing at a more rapid pace, perhaps due to increased introductions of non-native pathogens and improved reporting. Not surprisingly, accumulation of pathogens on natives in Latin America and Caribbean was slow and tended towards saturation (Suppl. material
EID accumulation varied substantially amongst the genera assessed (Fig.
Frequency of first reports for 24 tree genera since 2000. Note the nativity classification corresponds to the nativity of particular host species, not the genus as a whole.
Temporal accumulation of first reports of tree EIDs since 2000 for four host genera with the greatest total number of EID reports in the dataset. Note the nativity classification corresponds to the nativity of particular host species, not the genus as a whole. Models were fitted as y ~ a × exp(b × x) + c, where y is the cumulative number of new reports and x is the number of years elapsed since 2000 (the first year of data collection). To facilitate interpretation and visualisation, x was back-transformed to year (by adding 2000). See also Suppl. material
As has been found for non-native species accumulation (
The continued accumulation of EIDs implies diseases are likely to continue to spread and accumulate on new hosts – increasing the likelihood of severe outbreaks and host mortality. The increase in EID reports over the past several decades is likely due to a combination of increased global connectivity and increased reporting (Suppl. material
EID accumulation was not equally distributed amongst the genera assessed in this study. Pinus had the greatest number of accumulated EIDs – more than double that of any other genus assessed, except Quercus. The large number of EIDs on pines is likely largely attributable to its large geographic range throughout the Northern Hemisphere and its use in forestry around the Globe. While Quercus has a similarly large distribution that spans much of the temperate region in the Northern Hemisphere, Quercus is also one of the most speciose plant genera (Global Tree Search lists 415 Quercus species globally (
Many of the issues emblematic of EIDs are evident in the close examination of individual pathogens currently spreading on the landscape and encountering new hosts. The pathogen associated with ash dieback, for instance, one of the most frequently included in the dataset, highlights the impacts, challenges and future threats posed by EIDs. Over the past three decades, Hymenoscyphus fraxineus (anamorph: Chalara fraxinea) has spread rapidly throughout Europe, causing extensive mortality to its main host genus, Fraxinus. First reported in Poland in 1992 (Fig.
Despite searching thousands of records in the published literature, the estimates here of new disease emergences are certainly underestimated and this is likely for multiple reasons. First, recent work has consistently shown that pest documentations are strongly impacted by country wealth and scientific reporting (
Emerging infectious diseases pose a major threat to natural and planted trees around the Globe and are acting to reshape forests in the Anthropocene. EIDs are accumulating rapidly on Holarctic trees in both their native and non-native ranges, due to a combination of pathogen and tree introductions and environmental change. Although the rates of accumulation vary regionally and by host species, global trends show little sign of slowing, suggesting the impact of EIDs are likely to continue to compound and threaten tree populations globally.
Supplementary images
Data type: docx
Explanation note: fig. S1. Relationship between the cumulative number of all citable scientific documents in the agricultural (ag.) and biological (biol.) literature and the cumulative number of EID reports. fig. S2. Proportion of all EID reports published in “Plant Disease” represented by Holarctic trees, used in this study. fig. S3. Temporal accumulation of first reports of tree EIDs since 2000 for four geographic regions and 24 tree genera. fig. S4. Temporal accumulation of first reports of tree EIDs since 2000 for four host genera with the greatest total number of EID reports in the dataset.
Publications of first reports of pathogens on 24 tree host genera published since 2000
Data type: xlsx
Explanation note: Note the host species name may not match the host species name in the article if it did not match the GBIF taxonomic backbone.
Parameters estimates of an exponential model fit to the accumulation of new disease reports for various geographic, host, and nativity subsets
Data type: xlsx
Explanation note: Models were fit as y ~ a × exp(b × x) + c, where y is the cumulative number of new reports, and x is the number of years elapsed since 2000 (the first year of data collection).