Research Article |
Corresponding author: James D. M. Speed ( james.speed@ntnu.no ) Academic editor: Franz Essl
© 2024 James D. M. Speed, Luis R. Pertierra, Kristine B. Westergaard.
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation:
Speed JDM, Pertierra LR, Westergaard KB (2024) The potential area of occupancy of non-native plants across a warming high-Arctic archipelago: Implications for strategic biosecurity management. NeoBiota 93: 157-175. https://doi.org/10.3897/neobiota.93.114854
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The terrestrial high-Arctic has, so far, escaped the worst impacts of non-native plant establishment. However, increasing human activity and changing climate raise the risk of introductions and establishment, respectively. The lack of biosecurity in the terrestrial Arctic is thus of concern. To facilitate the development of biosecurity measures on the rapidly warming and highly trafficked archipelago of Svalbard, we generated ecological niche models to map the bioclimatic niche potential of 27 non-native established or door-knocker vascular plant species across Svalbard, identify species with a high risk of widespread occupancy, and locate hotspots of potential current and future invasions. Under the current climate the three species with the highest threat in terms of broad potential area of occupancy and known invasion potential were Deschampsia cespitosa, Ranunculus subborealis subsp. villosus and Saussurea alpina. However, under future climate, most of the considered species have potentially wide distributions across the archipelago. Remote eastern islands were a hotspot region for broader potential establishment of non-native species under the current climate. Our results suggest that many non-native plant species have a broader macroclimatic niche on Svalbard than they currently occupy, and that other factors probably limit both dispersal and establishment outside their current localised distributions. Environmental management on Svalbard has a limited window of opportunity to act early in containing and preventing the spread of non-native plant species beyond the few settlements where they currently exist. Moreover, preventing introductions and establishments on the remote and rarely visited islands of Edgeøya, Barentsøya and Bjørnøya could be also a priority action to safeguard sanctuaries of the archipelago’s natural ecosystems.
Bioclimate, Climate change, Distribution, Neophyte, Svalbard, Tundra
Biodiversity redistribution processes related to the Anthropocene are rearranging regional biotas to higher and cooler elevations and latitudes (
The terrestrial Arctic is characterised by species-poor communities under strong ecological determination by abiotic conditions (
Svalbard is a high-Arctic archipelago, located between 73 and 81°N. Svalbard is undergoing a high degree of climatic warming, with annual mean temperatures predicted to increase by between 3 °C and 10 °C from 1971–2000 to 2071–2100 and annual precipitation predicted to increase by 40% to 60% over the same time period (
To facilitate policy development on Svalbard, identification of regions suitable for future establishment of non-native species is required. By encompassing the entire pool of non-native species currently known from the region, broad scale patterns can be identified that can be related to potential ecosystem impacts. The objective of this study is to carry out a risk assessment of macroclimate suitability for non-native vascular plant species on Svalbard by identifying regions within the potential bioclimatic niche under both current and future climates. We aim to: 1. Rank non-native species based on both bioclimatic suitability and current ecological impact assessment category (from the 2023 alien species list;
This study focused on the high-Arctic archipelago of Svalbard (Norway). Svalbard is geographically isolated with a small number of permanent settlements and research stations, although it is relatively easily accessible, with heavily-used traffic connections to lower latitudes including daily scheduled air routes and regular shipping. Three out of five Arctic bioclimatic subzones occur in Svalbard, including the middle Arctic tundra zone, the northern Arctic tundra zone and the Arctic polar desert (
In total, 27 non-native vascular plant species were included in this study (Table
List of non-native vascular plant taxa from Svalbard used in the study, with authors. Accepted species names follow Artsnavnebase (Norwegian Nomenclature Database; Artsdatabanken). GBIF species names are also provided to link to the source data. The status of each species in Svalbard is given as either established or door-knocker (not currently reproducing in Svalbard, but can be expected to do so within 50 years;
Accepted species name in Norway | GBIF species name | Status Svalbard | Impact category |
---|---|---|---|
Achillea millefolium L. | Achillea millefolium | Established (D1) | LO |
Alchemilla subcrenata Buser | Alchemilla subcrenata | Established (C3) | LO |
Alchemilla wichurae (Buser) Stefánsson | Alchemilla wichurae | Door-knocker (C0) | LO |
Anthriscus sylvestris (L.) Hoffm. | Anthriscus sylvestris | Door-knocker (A) | LO |
Barbarea vulgaris W.T.Aiton | Barbarea vulgaris | Established (D2) | LO |
Capsella bursa-pastoris (L.) Medik. | Capsella bursapastoris | Door-knocker (C0) | LO |
Deschampsia cespitosa subsp. cespitosa | Deschampsia cespitosa | Established (C3) | LO |
Festuca rubra subsp. rubra | Festuca rubra | Established (C3) | LO |
Lepidotheca suaveolens (Pursh) Nutt. | Matricaria discoidea | Door-knocker (A) | NK |
Poa annua L. | Poa annua | Established (C3) | NK |
Poa humilis Ehrh. ex Hoffm. | Poa humilis | Established (C3) | LO |
Poa palustris L. | Poa palustris | Door-knocker (C1) | NK |
Poa pratensis L. | Poa pratensis | Established (C3) | LO |
Ranunculus acris subsp. friesianus (Jord.) Syme | Ranunculus acris | Established (C3) | LO |
Ranunculus repens L. | Ranunculus repens | Established (C2) | LO |
Ranunculus subborealis subsp. villosus (Drabble) Elven | Ranunculus propinquus | Door-knocker (C1) | NK |
Rumex acetosa L. | Rumex acetosa | Established (C3) | LO |
Rumex longifolius DC. | Rumex longifolius | Door-knocker (C0) | NK |
Saussurea alpina (L.) DC. | Saussurea alpina | Door-knocker (C1) | NK |
Stellaria media (L.) Vill. | Stellaria media | Door-knocker (C1) | LO |
Tanacetum vulgare L. | Tanacetum vulgare | Door-knocker (C1) | LO |
Taraxacum sect. Ruderalia Kirschner, H.Øllg. & Stepánek | Taraxacum ruderalia | Established (C3) | LO |
Trifolium pratense L. | Trifolium pratense | Door-knocker (C0) | NK |
Trifolium repens L. | Trifolium repens | Door-knocker (C0) | NK |
Tripleurospermum maritimum (L.) W.D.J.Koch | Tripleurospermum maritimum | Door-knocker (C0) | LO |
Urtica dioica subsp. dioica | Urtica dioica | Door-knocker (C1) | LO |
Veronica longifolia L. | Veronica longifolia | Established (C2) | LO |
To train climate suitability models, we used species occurrences from GBIF (GBIF.org 2023a), retrieved using scientific names with authors as accepted by the Norwegian Biodiversity Information Centre (Table
Species occurrence data was subsequently cleaned (
Models were run using pseudo-absence data. Since the GBIF data used for species presences suffers from geographic and environmental biases (
Climatic suitability was modelled using WorldClim2.0 bioclimate variables (
Climate suitability modelling was implemented using ensemble species distribution modelling within the biomod2 package (
The climate suitability models were projected across the archipelago of Svalbard at 30” resolution. Projections were at higher resolution than the training data in order to adequately visualise local variation. This is due to the limited extent of the projection (Svalbard) compared to the training range (global) and the need to mask out fjords and glaciers from the climate suitability projections. Each model was projected with both current climate conditions and a moderate and a severe future climate scenario. For the future scenarios we used the period 2061–2080 (chosen for relevance to the typical 50-year horizon of Norwegian ecological impact assessments of non-native species), and SSP2-45 (as a moderate scenario) and SSP5-85 (as an upper boundary). We used the model HadGEM3-GC31, although note that there is very high correlation between different models. Future climate data was also downloaded from WorldClim (
Ensemble models were projected as climatic suitability, bounded between 0 and 1. To estimate potential area of occupancy for each species across Svalbard, models were thresholded to binary projections using a threshold prediction level for each species that maximized the true skill statistic (TSS, maximising the sum of the specificity and sensitivity). The modal value across all 60 models per species was then taken across the model methods and replicates (if tied – i.e. 30 models predicting presence at one location, we assumed predicted presence, leaning toward precaution). Potential non-native species richness was estimated as the number of species with potential occupancy (modal threshold value = 1) for each cell. Glaciers and ice-covered areas were masked out from model projections, using GLIMS data (
Finally, we classified the model projections to determine potential bioregionalization of non-native vascular plant species on Svalbard. Using the package NBClust (
Climate suitability models were trained for all 27 species based on global occurrences, and these were projected across Svalbard. Model evaluation scores varied between species and modelling methods. Generally, the machine learning methods (RF and GBM) had the highest AUC and TSS values, whilst the simplest method, surface range envelopes, had the lowest evaluation scores (Suppl. material
For some species, one of the bioclimatic variables was by far the most important in determining the distribution. For example, temperature of the warmest quarter for Saussurea alpina, mean diurnal range for Tripleurospermum maritimum and maximum temperature of the warmest month for Veronica longifolia (Suppl. material
Under current climate, climate suitability varied across species (Fig.
Ensemble projections of the potential macroclimatic niche distribution of all non-native vascular plant species across the archipelago of Svalbard under current climate. Species labels follow Artsnavnebase (Species Nomenclature Database; Artsdatabanken). See Table
Area of potential range occupancy of 27 non-native vascular plant species across the Svalbard archipelago under current and future (SSP2-45 and SSP5-85) climate scenarios (see Suppl. material
For most species the climate suitability is predicted to be higher under both future climate scenarios than under the current climate (Suppl. material
Potential richness of non-native vascular plant species is greatest in the remote eastern islands of the Svalbard archipelago such as Edgeøya. The current climate here is suitable for up to 13 non-native vascular plant species (Fig.
Potential species richness of non-native vascular plant species across Svalbard under current and two future climate scenarios. Potential species richness is estimated as the sum of species with potential occurrence based on thresholding of model predictions maximizing the true skill statistic.
The potential non-native species richness was far higher under both future climate scenarios than under the current climate. Some regions including Edgeøya had suitable climate for 25 non-native vascular plant species, out of a pool of 27 species under both future scenarios (Fig.
The projected models indicate a clear bioregionalization of potential assemblages of non-native species, with Eastern, Central Fjord and Western clusters being apparent under both current and future climates (Fig.
Potential non-native vascular plant species assemblage clusters across Svalbard under current and future climate scenarios. For all, the optimum number of clusters was three. These are illustrated using colours. The clustering was undertaken independently for each scenario, and the cluster groups have no direct correspondence between present and future climate scenarios. Species associations with clusters are shown in Suppl. material
Biological invasions are a growing threat in polar ecosystems, where milder temperatures and increasing human activity heighten the risk for introduction and establishment of many globally invasive species (
The finding that many of the non-native species considered here are inside their realised climate niche on Svalbard today, shows that factors other than macroclimate likely limits these species occurring more widely across the archipelago than their current distribution. Previous studies in Antarctica indicated that species like Poa annua and Poa pratensis were living at the farthest ends of their niche centroids (
All species of non-native vascular plants on Svalbard have highly localised current distributions, on nutrient-enhanced and/or disturbed soils within the settlements and around some remote cabins. The introduced non-native plants on Svalbard may possibly still be under a lag phase of acclimatation-adaptation where their dispersal capabilities are limited. Lag phases are not uncommon in polar ecosystems; for example
The potential richness of non-native plants on Svalbard was found to be greatest in Eastern regions such as the large island Edgeøya, as well as the island of Bjørnøya, far south of the main archipelago. These parts of Svalbard are remote and more rarely visited than the central fjord regions. The high number of non-native vascular plant species with potential climatic ranges here suggests that these regions may be at greater risk of establishment by several non-native plant species. Importantly, the potential number of non-natives escalate the risk of causing functional disturbances to native plant communities (
Clustering of the non-native species potential distributions across Svalbard revealed assemblages separated on the longitudinal axis. This clustering reflects the Svalbard’s bioclimate sections (i.e. continentality-oceanity gradient representing oscillating temperature and precipitation) more closely than the bioclimatic zonation (temperature gradient representing thermal limits) (
In this study we only included non-native species assessed for their ecological impact by the vascular plant committee for the Norwegian Alien Species List 2023 (
Our study focussed on macroclimatic niche potential. In harsh environments, the microclimatic conditions that plants experience can substantially differ from macroclimatic conditions. In many cases this can offer refugia for species originating from less harsh environments (
There are also taxonomic challenges in using global occurrence data to model regional distributions. Three of the most taxonomically complex groups in the northern hemisphere are included in this study. Firstly, Norwegian material of Poa pratensis s.lat. is considered to include five closely related species, all present in Svalbard: the native P. alpigena and P. colpodea, and the introduced P. angustifolia, P. humilis, and P. pratensis s.str. (
Secondly, Festuca rubra is not only one of the most widely distributed grasses of the northern hemisphere, but also among the taxonomically and morphologically most complicated of all northern grasses. Its main Arctic subspecies richardsonii is consistently accepted and is considered widely distributed in a wide range of habitats in Svalbard. Morphological characterization of the Svalbard material into two subspecies (the alien F. rubra subsp. rubra and the native F. rubra subsp. richardsonii) is, however, ambiguous, with potential transitional forms between the subspecies (
Thirdly, Taraxacum sect. Ruderalia (or T. officinale aggregate;
In summary, the use of large datasets of species observations must accept the accompanying taxonomic uncertainty for individual data points. The precautionary principle suggests that leaning towards inclusivity of records is best, particularly where the focus is placed on aggregated results across species, such as this study. In many of the species, the limited number of current occurrences indicates that only a few lineages have established and thus their potential for adaptation to the high-Arctic can be limited by their genetic diversity. Hence our models could be over-predicting the potential distribution beyond the existing occurrences (
Risk assessments of non-native species often focus on aspects of invasion potential and ecological impacts. This study estimates the potential area of occupancy of non-native species based on their realised niche, complementing quantitative ecological impact assessment (
Non-native species continue to accumulate in novel ranges (
The terrestrial Arctic has been fortunate to escape widespread impacts from non-native vascular plants. However, climate change will exacerbate potential establishment whilst increased human activity will favour dispersal and wider establishment opportunities at disturbed regimes. Our study maps the potential climate niche of non-native vascular plant species across Svalbard, finding that climate does not prevent the distribution of many species today, and will prevent the distribution of even fewer in the future. Environmental management on Svalbard has a window of opportunity to take proactive steps to minimise new introductions and establishment of non-native plants and avoid further dispersal of already established non-native species.
We are grateful to the reviewers whose constructive comments on an earlier draft helped to improve this work, and to all those who have contributed the species occurrence data that was used in this study.
The authors have declared that no competing interests exist.
No ethical statement was reported.
This study is a part of the BiodivERsA project ASICS (Assessing and mitigating the effects of climate change and biological Invasions on the spatial redistribution of biodiversity in Cold environments), co-funded by the Research Council of Norway (grant 323304 to KBW) while LRP was supported by the South African National Research Foundation and a Millenium BASE contract.
James D. M. Speed: Conceptualisation, Formal analysis, Visualisation, Writing: original draft preparation. Luis R. Pertierra: Conceptualisation, Formal analysis, Visualisation, Writing: original draft preparation. Kristine B. Westergaard: Conceptualisation, Writing: original draft preparation, Resources, Project administration.
James D. M. Speed https://orcid.org/0000-0002-0633-5595
Luis R. Pertierra https://orcid.org/0000-0002-2232-428X
Kristine B. Westergaard https://orcid.org/0000-0003-4609-8704
All of the data that support the findings of this study are available in the main text or Supplementary Information.
Supporting information
Data type: docx
Explanation note: table S1. References with species-specific strings and permanent links for each of the studied 27 non-native plant species’ ecological impact assessments. table S2. The total area of potential occupancy (km2) of the 27 non-native species across the Svalbard archipelago under current and future (SSP 2-45 and 5-85) climate scenarios (data from Fig.