INTRODUCTION
⌅Biological invasions by the establishment and spread of introduced non-native species cause many negative environmental and socioeconomic impacts (Blackburn & al. 2019Blackburn T.M. Bellard C. & Ricciardi A. 2019. Alien versus native species as drivers of recent extinctions. Frontiers in Ecology and the Environment 17: 203-207.). Because the establishment of non-native species has increased exponentially during the last decades by the amplified connection of infrastructures and global commerce (Seebens & al. 2017Seebens H., Blackburn T.M., Dyer E.E., Genovesi P., Hulme P.E., Jeschke J.M., Pagad S., Pyšek P., Winter M., Arianoutsou M., Bacher S., Blasius B., Brundu G., Capinha C., Celesti-Grapow L., Dawson W., Dullinger S., Fuentes N., Jäger H., Kartesz J., Kenis M., Kreft H., Kühn I., Lenzner B., Liebhold A., Mosena A., Moser D., Nishino M., Pearman D., Pergl J., Rabitsch W., Rojas-Sandoval J., Roques A., Rorke S., Rossinelli S., Roy H.E., Scalera R., Schindler S., Štajerová K., Tokarska-Guzik B., van Kleunen M., Walker K., Weigelt P., Yamanaka T. & Essl F. 2017. No saturation in the accumulation of alien species worldwide. Nature Communications 8: 14435.), it is of paramount importance to identify those with the potential to become invasive and cause harm. The introduction of non-native species may be accidental or deliberate. Deliberated introductions of ornamental plants in urban parks and gardens is one of the most important introduction pathways of non-native plants around the globe (Mayer & al. 2017Mayer K., Haeuser E., Dawson W., Essl F., Kreft H., Pergl J., Pyšek P., Weigelt P., Winter M., Lenzner B. & van Kleunen M. 2017. Naturalization of ornamental plant species in public green spaces and private gardens. Biological Invasions 19: 3613-3627.; Haeuser & al. 2018Haeuser E., Dawson W., Thuiller W., Dullinger S., Block S., Bossdorf O., Carboni M., Conti L., Dullinger I., Essl F., Klonner G., Moser D., Münkemüller T., Parepa M., Talluto M.V., Kreft H., Pergl J., Pyšek P., Weigelt P., Winter M., Hermy M., van der Veken S., Roquet C. & Kleunen M. van. 2018. European ornamental garden flora as an invasion debt under climate change. Journal of Applied Ecology 55: 2386-2395.). Despite that ornamental plants provide cultural and aesthetic services to people (Bolund & Hunhammar 1999Bolund P. & Hunhammar S. 1999. Ecosystem services in urban areas. Ecological Economics 29: 293-301.; Kendal & al. 2012Kendal D., Williams K.J.H. & Williams N.S.G. 2012. Plant traits link people’s plant preferences to the composition of their gardens. Landscape and Urban Planning 105: 34-42.; Vaz & al. 2018Vaz A.S., Castro-Díez P., Godoy O., Alonso Á., Vilà M., Saldaña A., Marchante H., Bayón Á., Silva J.S., Vicente J.R. & Honrado J.P. 2018. An indicator-based approach to analyse the effects of non-native tree species on multiple cultural ecosystem services. Ecological Indicators 85: 48-56.), many ornamental introduced species have established (i.e., naturalized) in the wild, causing impacts to biodiversity and ecosystems (Hulme 2007Hulme P.E. 2007. Biological invasions in Europe: drivers, pressures, states, impacts and responses. Biodiversity Under Threat. Issues in Environmental Science and Technology 25: 56-80.).
The most effective way to manage the impacts of non-native species is prevention through early warning techniques, as well as to perform invasion risk assessments (Convention on Biological Diversity 2010Convention on Biological Diversity. 2010. Strategic Plan for Biodiversity 2011-2020. https://www.cbd.int/sp/default.shtml [accessed: 30 Jan. 2018].). Development of risk assessment protocols has progressed considerably in the last decades proving to be an essential tool to identify and predict potential invasions (Andreu & Vilà 2010Andreu J. & Vilà M. 2010. Risk analysis of potential invasive plants in Spain. Journal for Nature Conservation 18: 34-44. ; Roy & al. 2014Roy H.E., Peyton J., Aldridge D.C., Bantock T., Blackburn T.M., Britton R., Clark P., Cook E., Dehnen-Schmutz K., Dines T., Dobson M., Edwards F., Harrower C., Harvey M.C., Minchin D., Noble D.G., Parrott D., Pocock M.J.O., Preston C.D., Roy S., Salisbury A., Schönrogge K., Sewell J., Shaw R.H., Stebbing P., Stewart A.J.A. & Walker K. J. 2014. Horizon scanning for invasive alien species with the potential to threaten biodiversity in Great Britain. Global Change Biology April 20: 3859-3871.). Most risk assessment protocols consider being invasive elsewhere, having the potential to be established in the wild, climate matching with the area of origin, and potential to cause impacts as the main characteristics to classify a non-native plant species with high potential to invade a region (Weber & Gut 2004Weber E. & Gut D. 2004. Assessing the risk of potentially invasive plant species in central Europe. Journal for Nature Conservation 12: 171-179.; Otfinowski & al. 2007Otfinowski R., Kenkel N.C., Dixon P. & Wilmshurst J.F. 2007. Integrating climate and trait models to predict the invasiveness of exotic plants in Canada’s Riding Mountain National Park. Canadian Journal of Plant Science 87: 1001-1012.; Roy & al. 2019Roy H.E., Bacher S., Essl F., Adriaens T., Aldridge D.C., Bishop J.D.D., Blackburn T.M., Branquart E., Brodie J., Carboneras C., Cottier-Cook E.J., Copp G.H., Dean H.J., Eilenberg J., Gallardo B., Garcia M., García-Berthou E., Genovesi P., Hulme P.E., Kenis M., Kerckhof F., Kettunen M., Minchin D., Nentwig W., Nieto A., Pergl J., Pescott O.L., Peyton J.M., Preda C., Roques A., Rorke S.L., Scalera R., Schindler S., Schönrogge K., Sewell J., Solarz W., Stewart A.J.A., Tricarico E., Vanderhoeven S., Velde G. van der, Vilà M., Wood C.A., Zenetos A. & Rabitsch W. 2019. Developing a list of invasive alien species likely to threaten biodiversity and ecosystems in the European Union. Global Change Biology 25: 1032-1048.). Some classic examples such as the Australian weed risk assessment (WRA) (Pheloung & al. 1999Pheloung P.C., Williams P.A. & Halloy S.R. 1999. A weed risk assessment model for use as a biosecurity tool evaluating plant introductions. Journal of Environmental Management 57: 239-251.) have been widely used to accurately predict potential invaders in many different regions including Spain (Gordon & al. 2008Gordon D.R., Onderdonk D.A., Fox A.M. & Stocker R.K. 2008. Consistent accuracy of the Australian weed risk assessment system across varied geographies. Diversity and Distributions 14: 234-242.; Andreu & Vilà 2010Andreu J. & Vilà M. 2010. Risk analysis of potential invasive plants in Spain. Journal for Nature Conservation 18: 34-44. ; Gassó & al. 2010Gassó N., Basnou C. & Vilà M. 2010. Predicting plant invaders in the Mediterranean through a weed risk assessment system. Biological Invasions 12: 463-476. ). However, when focusing on the specific case of non-native plant species introduced for aesthetic purposes, it is likely that additional factors, such as the socioeconomic interest or their planting prevalence, might affect their invasion risk.
The Google Trends tool offers good proxies of the societal interest that the people have on particular items. The Google Trends tool has been used to evaluate the level of interest and queries of the population on conservation topics (Żmihorski & al. 2013Żmihorski M., Dziarska-Pałac J., Sparks T.H. & Tryjanowski P. 2013. Ecological correlates of the popularity of birds and butterflies in Internet information resources. Oikos 122: 183-190; Davies & al. 2018Davies T., Cowley A., Bennie J., Leyshon C., Inger R., Carter H., Robinson B., Duffy J., Casalegno S., Lambert G. & Gaston K. 2018. Popular interest in vertebrates does not reflect extinction risk and is associated with bias in conservation investment. PLOS ONE 13: e0203694.; Schuetz & Johnston 2019Schuetz J.G. & Johnston A. 2019. Characterizing the cultural niches of North American birds. Proceedings of the National Academy of Sciences 116: 10868-10873.) and epidemiology (Seo & Shin 2017Seo D.-W. & Shin S.-Y. 2017. Methods Using Social Media and Search Queries to Predict Infectious Disease Outbreaks. Healthcare Informatics Research 23: 343-348.). Recently, it has been applied to the study of biological invasions. For example, in Japan, the Google search of 31 major invasive species is a good predictor of their spatial distribution (Fukano & Soga 2019Fukano Y. & Soga M. 2019. Spatio-temporal dynamics and drivers of public interest in invasive alien species. Biological Invasions 21: 3521-3532.). Likewise the Google Trends has been previously used in Spain to rank non-native plants sold in nurseries (Bayón & Vilà 2019Bayón Á. & Vilà M. 2019. Horizon scanning to identify invasion risk of ornamental plants marketed in Spain. NeoBiota 52: 47-86.). In this paper, we will use Google Trends to rank ornamental woody plants in urban parks.
Impacts of non-native species are of major concern to prioritize their management (Kumschick & al. 2015Kumschick S., Bacher S., Evans T., Marková Z., Pergl J., Pyšek P., Vaes-Petignat S., van der Veer G., Vilà M. & Nentwig W. 2015. Comparing impacts of alien plants and animals in Europe using a standard scoring system. Journal of Applied Ecology 52: 552-561.; Novoa & al. 2020Novoa A., Richardson D.M., Pyšek P., Meyerson L.A., Bacher S., Canavan S., Catford J.A., Čuda J., Essl F., Foxcroft L.C., Genovesi P., Hirsch H., Hui C., Jackson M.C., Kueffer C., Le Roux J.J., Measey J., Mohanty N.P., Moodley D., Müller-Schärer H., Packer J.G., Pergl J., Robinson T.B., Saul W.-C., Shackleton R.T., Visser V., Weyl O.L.F., Yannelli F.A. & Wilson J.R.U. 2020. Invasion syndromes: a systematic approach for predicting biological invasions and facilitating effective management. Biological Invasions 22: 1801-1820.). Moreover, an understanding about how the impacts interact with each other may provide knowledge on the association between impacts on the environment and on socioeconomic activities (Vilà & al. 2010Vilà M., Basnou C., Pyšek P., Josefsson M., Genovesi P., Gollasch S., Nentwig W., Olenin S., Roques A., Roy D. & Hulme P.E. 2010. How well do we understand the impacts of alien species on ecosystem services? A pan-European, cross-taxa assessment. Frontiers in Ecology and the Environment 8: 135-144.). Similarly, because plants are deliberately introduced into urban parks, it is important to identify which are the most common and frequent impacts they can cause, both at the species level and at the park (‘assemblage’) level. Therefore, an analysis of the proportion of species with the potential to cause each impact type and the species occurrence in the parks allows for defining the potential non-native impact profile of a particular park. To our knowledge, this analysis has not been conducted despite its paramount importance to guide best practices for avoiding their threat to local biodiversity and causing disservices.
In this paper, we performed a risk analysis to classify 486 non-native woody species planted in 46 major urban parks from 23 cities across mainland Spain in various lists. Furthermore, for all the invasive and potentially invasive species, we answered the following questions: 1) How frequent are these species across parks? 2) Is species occurrence (i.e., number of parks where present) associated with their interest to society, and with the magnitude of their risk to invade? 3) Which are the most common potential impacts of these species? 4) How frequent are the species with potential to cause impacts in urban parks? and, finally, 5) Which impacts might show higher correlations?
MATERIAL AND METHODS
⌅Urban parks dataset
⌅From the database provided by the Spanish Association of Public Parks and Gardens (AEPJP 2010AEPJP. 2010. Vivir los Parques. http://www.vivirlosparques.es/ [accessed: 12 Feb. 2021].; see Appendix 1), we compiled the complete species list of woody and arboreal-like plant (i.e., trees, shrubs, arboreal cacti and palm trees) present in 46 parks from 23 peninsular Spanish cities. We used the Taxon stand package of R (Cayuela & al. 2019Cayuela L., Macarro I., Stein A. & Oksanen J. 2019. Taxonstand: Taxonomic Standardization of Plant Species Names. https://CRAN.R-project.org/package=Taxonstand ) to select all the accepted scientific names (consulted 22 May 2020), excluding species with invalid names. The species were classified as native or non-native. Archaeophytes (i.e., species introduced before 1500 AD) were not included in the analysis because they are poorly recorded and, for many species, their non-native status is under discussion (Pyšek & al. 2004Pyšek P., Richardson D.M., Rejmánek M., Webster G.L., Williamson M. & Kirschner J. 2004. Alien plants in checklists and floras: towards better communication between taxonomists and ecologists. Taxon 53: 131-143.).
We checked for the invasion status of these non-native species in Spain (Sanz Elorza & al. 2004Sanz Elorza M., Dana E.D. & Sobrino E. (eds.). 2004. Atlas de las Plantas Alóctonas Invasoras en España. Dirección General para la Biodiversidad. Ministerio de Medio Ambiente.; BOE 2019BOE. 2019. Real Decreto 216/2019, de 29 de marzo, por el que se aprueba la lista de especies exóticas invasoras preocupantes para la región ultraperiférica de las islas Canarias y por el que se modifica el Real Decreto 630/2013, de 2 de agosto, por el que se regula el Catálogo español de especies exóticas invasoras. BOE 77 (Sec. I.): 32902-32921.; CABI 2020CABI. 2020. Invasive Species Compendium. Wallingford, UK: CAB International. www.cabi.org/isc [accessed: 25 May 2020].) following Richardson & al. (2000)Richardson D.M., Pyšek P., Rejmanek M., Barbour M.G., Panetta F.D. & West C.J. 2000. Naturalization and invasion of alien plants: concepts and definitions. Diversity and Distributions 6: 93-107.. Based on that, species were classified as: invasive, established, casual, and not present in the wild. We also consulted their regulatory status by the Spanish Catalogue of Non-native Invasive Species (BOE 2019BOE. 2019. Real Decreto 216/2019, de 29 de marzo, por el que se aprueba la lista de especies exóticas invasoras preocupantes para la región ultraperiférica de las islas Canarias y por el que se modifica el Real Decreto 630/2013, de 2 de agosto, por el que se regula el Catálogo español de especies exóticas invasoras. BOE 77 (Sec. I.): 32902-32921.) and the List of Invasive Alien Species of Union Concern (European Commission 2019European Commission. 2019. COMMISSION IMPLEMENTING REGULATION (EU) 2019/1262 of 25 July 2019 amending Implementing Regulation (EU) 2016/1141 to update the list of invasive alien species of Union concern. Official Journal of the European Union L 199: 1-4.). These regulations involve the ban of possession, transport and commerce of living beings and their propagules.
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Once we had the five groups of species according to its invasion status in Spain, we proceeded to classify the species into 6 lists following Bayón & Vilà (2019)Bayón Á. & Vilà M. 2019. Horizon scanning to identify invasion risk of ornamental plants marketed in Spain. NeoBiota 52: 47-86. methodology (Fig. 1):
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Priority list: regulated (by Spain or the EU) invasive non-native species present in urban parks.
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Attention list: invasive (not regulated) and potentially invasive species (i.e., climatically suitable and invasive elsewhere) with more potential impacts than the median of all species.
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Watch list: invasive (not regulated) and potentially invasive species with none or fewer potential impacts than the median of all species.
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Green list: non-invasive nor potentially invasive species with no climatic suitability and probably no potential to be invasive in Spain, and safe for socioeconomics and the environment.
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Uncertainty list: non-invasive species with probably no potential to be invasive and that do not meet the requirements to be included in the Green List. It also includes species with known invasion status but with insufficient information on climatic suitability or being invasives elsewhere.
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Data Deficient list: species without enough information about its invasion status, nor climatic suitability, nor invasive elsewhere. Therefore, they cannot be classified in any other list.
Information on being invasive elsewhere was consulted in the CABI datasheets (CABI 2020CABI. 2020. Invasive Species Compendium. Wallingford, UK: CAB International. www.cabi.org/isc [accessed: 25 May 2020].) and the database of the Invasive Species Specialist Group (2015)Invasive Species Specialist Group. 2015. The Global Invasive Species Database.http://www.issg.org/database [accessed: 26 May 2020].. The climatic suitability was defined as the tolerance to both, the highest historical absolute minimum temperature in Spain which was 0.2°C in Almería (9 February 1935), and the highest mean minimum temperature in the coldest month in Spain which is 10.8°C in January in Tarifa (mean recorded from data between 1981 to 2010) (AEMET 2019AEMET. 2019. AEMET (Agencia Estatal de Meteorología). Website: http://www.aemet.es/es/serviciosclimaticos/datosclimatologicos [accessed: 27 Nov. 2019].). These tolerances were consulted in the CABI Invasive Species Compendium (CABI 2020CABI. 2020. Invasive Species Compendium. Wallingford, UK: CAB International. www.cabi.org/isc [accessed: 25 May 2020].).
Impact assessment of invasive and potentially invasive species
⌅For the invasive and potentially invasive species, we assigned binary scores (yes/no) to a total of 14 potential impact types, following Blackburn et al (2014)Blackburn T.M., Essl F., Evans T., Hulme P.E., Jeschke J.M., Kühn I., Kumschick S., Marková Z., Mruga\la A., Nentwig W., Pergl J., Pyšek P., Rabitsch W., Ricciardi A., Richardson D.M., Sendek A., Vilà M., Wilson J.R.U., Winter M., Genovesi P. & Bacher S. 2014. A unified classification of alien species based on the magnitude of their environmental impacts. PLoS Biology 12: e1001850.. We considered six potential impacts on native species: (1) competition, (2) hybridization, (3) disease transmission, (4) parasitism, (5) poisoning, toxicity and allelopathy, and (6) interaction with other invasive non-native species; and four impacts on ecosystems: (7) nutrient cycling, (8) physical modification of the habitat, (9) modification of natural succession and (10) disruption to food webs. We also assessed potential socioeconomic impacts, including on (11) human health (such as allergenic pollen), (12) infrastructures, (13) agriculture and forestry and (14) to other sectors (e.g., livestock, domestic animals, and fish farming).
Information on impacts was consulted in the CABI Invasive Species Compendium (CABI 2020CABI. 2020. Invasive Species Compendium. Wallingford, UK: CAB International. www.cabi.org/isc [accessed: 25 May 2020].) and the database of the Invasive Species Specialist Group (2015)Invasive Species Specialist Group. 2015. The Global Invasive Species Database.http://www.issg.org/database [accessed: 26 May 2020].. Information about pollen allergenicity was found in the Allergome database (Mari & al. 2009Mari A., Rasi C., Palazzo P. & Scala E. 2009. Allergen databases: current status and perspectives. Current Allergy and Asthma Reports 9: 376-383.). For each species, we calculated the number of potential environmental (0-10) and socioeconomic (0-4) impacts. The threshold for the classification between species with a high and low number of impacts was the median value for both environmental and socioeconomic impacts. The Attention list was composed by invasive and potentially invasive species in Spain with environmental or socioeconomic impacts at or above the threshold. Meanwhile species with both environmental and socioeconomic impacts below the threshold formed the Watch List.
Society interest analysis of invasive and potentially invasive species
⌅The Google Trends tool provides monthly data of up to five keywords, in a predefined geographic and temporal range. The output values of Google Trends are always relative to the maximum absolute value of all the keywords imputed, which is set as 100. To standardize the relative values of Google trends, we used the R pack “gtrendsR” v. 1.4.2 (Massicotte & Eddelbuettel 2020Massicotte P. & Eddelbuettel D. 2020. gtrendsR: Perform and Display Google Trends Queries. https://CRAN.R-project.org/package=gtrendsR ), carrying out a paired systematic consultation between each species and Robinia pseudoacacia L. as the control species for Spain as the geographic region, from the 1st of January of 2004 to the 31st of December of 2019. Robinia pseudoacacia was selected as the control species because it was the one with the highest Google Trends value.
Invasion risk assessment of invasive and potentially invasive species
⌅We used an adaptation of the invasion risk assessment (WRA) protocol for Spain (Pheloung & al. 1999Pheloung P.C., Williams P.A. & Halloy S.R. 1999. A weed risk assessment model for use as a biosecurity tool evaluating plant introductions. Journal of Environmental Management 57: 239-251.; Gassó & al. 2010Gassó N., Basnou C. & Vilà M. 2010. Predicting plant invaders in the Mediterranean through a weed risk assessment system. Biological Invasions 12: 463-476. ) on all the invasive and potentially invasive species. The WRA scores range from -14 (benign species) to 29 (maximum risk). WRA assess species as ‘rejected’ for those species likely to be of high risk (score > 6); as ‘accepted’ those with a low score (< 1); and as ‘need further evaluation’, those with intermediate scores (1-6). Some of the WRA values were obtained from several previous studies (Gassó & al. 2010Gassó N., Basnou C. & Vilà M. 2010. Predicting plant invaders in the Mediterranean through a weed risk assessment system. Biological Invasions 12: 463-476. ; Pino & al. 2015Pino J., Álvarez E. & Soares M.L. 2015. Anàlisi de la capacitat d’invasió del medi natural de les plantes exòtiques més plantades als espais verds públics de Barcelona. Unpublished report 20.; Álvarez & al. 2016Álvarez E., Bagaria G., Pérez J., & Pino J. 2016. Anàlisi de la invasió del medi natural per plantes exòtiques plantades als espais verds públics de Barcelona. Unpublished report 19.; Bayón & Vilà 2019Bayón Á. & Vilà M. 2019. Horizon scanning to identify invasion risk of ornamental plants marketed in Spain. NeoBiota 52: 47-86.). For the species for which WRA had not been performed before, it was calculated ‘de novo’. Most of the scientific information to calculate the WRA came from the Invasive Species Specialist Group (2015)Invasive Species Specialist Group. 2015. The Global Invasive Species Database.http://www.issg.org/database [accessed: 26 May 2020]. and CABI (2020)CABI. 2020. Invasive Species Compendium. Wallingford, UK: CAB International. www.cabi.org/isc [accessed: 25 May 2020]..
Priority Index of invasive and potentially invasive species
⌅For each species in the Attention list, we calculated a Priority Index (PIi) based on Bayón & Vilà (2019)Bayón Á. & Vilà M. 2019. Horizon scanning to identify invasion risk of ornamental plants marketed in Spain. NeoBiota 52: 47-86. according to the following equation :
Where: PIi = Priority Index for species i; Ei = number of environmental impacts for species i; Si = number of socioeconomic impacts for species i; WRAi = Weed Risk Assessment score for species i; STVi = Standard trending value for species i. The number of potential environmental impacts was set to 11 and not to 10 to be consistent with the Priority Index applied for the first time to nursery species that also included impacts on biofouling (Bayón & Vilà 2019Bayón Á. & Vilà M. 2019. Horizon scanning to identify invasion risk of ornamental plants marketed in Spain. NeoBiota 52: 47-86.).
Statistical analyses
⌅To test if invasive and potentially invasive species occurrence (i.e., number of parks present) is related to the STV and the WRA, we calculated the Pearson’s correlation coefficient, and performed dispersion dot plots by the R ggplot2 package (Wickham 2016Wickham H. 2016. ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag, New York.); smooth line was performed by ‘lm’ method.
For the non-native species included in the categories of invasive or potentially invasive species, we seek to describe the occurrence of each potential impact, as well as the associations among impacts and their relative statistical weight.
To answer how frequently species with potential impacts were found in parks, we related how many species were causing each type of impact with their occurrence (mean ± SE) across urban parks. These pairs of values were represented in a scatter plot, including the average values for each variable as reference dash lines.
Data Resources
⌅The complete species database underpinning the analysis, with their potential impacts, reported in this paper, are deposited in the Zenodo repository at https://doi.org/10.5281/zenodo.4295845 (Bayón & al. 2020Bayón Á., Godoy O. & Vilà M. 2020. Dataset of Invasion risks and social interest of non-native woody plants in urban parks of Spain [Data set https://doi.org/10.5281/zenodo.4295845].).
RESULTS
⌅Non-native species lists
⌅From the 486 plants of the database, eight were not at the species level, or had not valid names. Of the remaining, there were 84 native species, 6 archaeophytes and 388 non-native species. From the non-native species, 16 were invasive; four are regulated by the Spanish catalogue (BOE 2019), conforming the Priority List: Acacia dealbata Link, present in four parks (8.7%); Buddleja davidii Franch., present in two parks (4.3%); Opuntia ficus-indica (L.) Mill., present in two parks (4.3%); and Ailanthus altissima (Mill.) Swingle, present in 20 parks (43.5%). This last species is also regulated by the European list (European Commission 2019European Commission. 2019. COMMISSION IMPLEMENTING REGULATION (EU) 2019/1262 of 25 July 2019 amending Implementing Regulation (EU) 2016/1141 to update the list of invasive alien species of Union concern. Official Journal of the European Union L 199: 1-4.).
Only one species, Ficus benjamina L., was classified in the Green list. From the rest of species, 39 were established, 72 were casual, and 33 were not found in the wild. We found information of potential impacts for only 59 invasive and potentially invasive species.
The median number for environmental impacts was four and the median for socioeconomic impacts was one. Forty-seven species (12.1% of total non-native and 79.7% of the invasive and potentially invasive species) had potential impacts at or above these threshold number of potential impacts, conforming the Attention list (Table 1) and 12 species (3.1% of the total non-native and 20.3% of the invasive and potentially invasive species) did not reach the threshold of impacts, and thus conformed the Watch list (Table 2).
Species | Family | Status | Climate confidence suitability | Impacts on | No. parks | STV | WRA | PI | |||
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Env. | Soc. | Value | Source | ||||||||
Spp. | Ecos. | ||||||||||
Acacia longifolia Paxton | Leguminosae | I | H | 1 | 3 | 3 | 1 | 0 | 23 | a | 48 |
Acer negundo L. | Sapindaceae | I | H | 0 | 1 | 1 | 22 | 52 | 13 | b | 33 |
Berberis thunbergii DC. | Berberidaceae | NW | H | 3 | 1 | 1 | 7 | 41 | 15 | a | 39 |
Broussonetia papyrifera (L.) L’Hér. ex Vent. | Moraceae | E | H | 2 | 3 | 2 | 6 | 41 | 2 | a | 36 |
Brugmansia suaveolens (Willd.) Sweet | Solanaceae | E | M | 2 | 2 | 2 | 1 | 0 | 13 | c | 33 |
Buddleja madagascariensis Lam. | Scrophulariaceae | NW | M | 3 | 2 | 2 | 1 | 0 | 11 | d | 33 |
Casuarina cunninghamiana Miq. | Casuarinaceae | C | H | 1 | 1 | 2 | 4 | 45 | 15 | b | 41 |
Casuarina equisetifolia L. | Casuarinaceae | C | H | 2 | 3 | 2 | 8 | 32 | 7 | a | 38 |
Cestrum nocturnum Lam. | Solanaceae | C | H | 2 | 2 | 2 | 4 | 90 | 9 | a | 52 |
Cinnamomum camphora (L.) J.Presl | Lauraceae | NW | H | 3 | 1 | 2 | 2 | 52 | 17 | a | 49 |
Cornus sericea L. | Cornaceae | NW | H | 1 | 3 | 1 | 1 | 0 | 22 | a | 34 |
Cotoneaster horizontalis Decne. | Rosaceae | NW | H | 1 | 2 | 1 | 7 | 28 | 26 | a | 42 |
Cupressus arizonica Greene | Cupressaceae | C | H | 0 | 0 | 1 | 20 | 53 | 2 | c | 21 |
Elaeagnus angustifolia L. | Elaeagnaceae | I | H | 2 | 4 | 1 | 2 | 28 | 21 | a | 45 |
Elaeagnus pungens Thunb. | Elaeagnaceae | NW | H | 1 | 3 | 0 | 4 | 0 | 9 | c | 17 |
Eriobotrya japonica (Thunb.) Lindl. | Rosaceae | E | H | 0 | 0 | 1 | 10 | 33 | 7 | e | 21 |
Eucalyptus camaldulensis Dehnh. | Myrtaceae | I | H | 0 | 1 | 1 | 6 | 52 | 17 | b | 36 |
Eucalyptus globulus Labill. | Myrtaceae | I | H | 3 | 1 | 3 | 4 | 45 | 21 | a, b | 57 |
Eugenia uniflora L. | Myrtaceae | C | M | 3 | 2 | 0 | 1 | 0 | 18 | a | 27 |
Euonymus fortunei (Turcz.) Hand.-Mazz. | Celastraceae | NW | H | 1 | 3 | 0 | 3 | 0 | 7 | a | 15 |
Ficus rubiginosa Desf. ex Vent. | Moraceae | E | H | 3 | 3 | 1 | 1 | 20 | 7 | a | 31 |
Fraxinus americana L. | Oleaceae | NW | H | 0 | 0 | 1 | 1 | 0 | 2 | c | 8 |
Fraxinus pennsylvanica Marshall | Oleaceae | NW | M | 1 | 0 | 1 | 4 | 0 | 2 | c | 10 |
Gleditsia triacanthos L. | Leguminosae | I | H | 2 | 2 | 0 | 10 | 42 | 10 | a, b | 28 |
Grevillea robusta A.Cunn. ex R.Br. | Proteaceae | C | H | 4 | 3 | 1 | 6 | 53 | 2 | a | 37 |
Lonicera japonica Thunb. | Caprifoliaceae | I | H | 1 | 2 | 1 | 6 | 40 | 14 | a, b | 35 |
Melia azedarach L. | Meliaceae | E | H | 2 | 2 | 1 | 10 | 65 | 12 | a | 42 |
Morus alba L. | Moraceae | C | H | 1 | 2 | 1 | 18 | 78 | 2 | e | 34 |
Nandina domestica Thunb. | Berberidaceae | C | M | 3 | 2 | 2 | 7 | 96 | 9 | a | 56 |
Parkinsonia aculeata L. | Leguminosae | I | H | 1 | 0 | 2 | 6 | 52 | 15 | b | 41 |
Parthenocissus quinquefolia (L.) Planch. | Vitaceae | E | H | 2 | 2 | 1 | 6 | 20 | 12 | c | 31 |
Paulownia tomentosa Lam. | Paulowniaceae | C | H | 2 | 2 | 1 | 8 | 39 | 19 | a | 41 |
Phoenix canariensis Chabaud | Arecaceae | E | H | 3 | 1 | 2 | 23 | 93 | 6 | a | 50 |
Pinus radiata D.Don | Pinaceae | C | H | 2 | 1 | 2 | 5 | 52 | 12 | a | 43 |
Pittosporum undulatum Vent. | Pittosporaceae | E | H | 5 | 4 | 1 | 2 | 0 | 19 | c | 43 |
Rhus typhina L. | Anacardiaceae | E | H | 2 | 3 | 4 | 6 | 0 | 15 | a | 49 |
Ricinus communis L. | Euphorbiaceae | I | H | 3 | 3 | 3 | 1 | 64 | 20 | c | 66 |
Robinia pseudoacacia L. | Leguminosae | I | H | 3 | 4 | 3 | 26 | 100 | 15 | a, b | 73 |
Salix babylonica L. | Salicaceae | C | H | 0 | 2 | 1 | 16 | 52 | 3 | c | 26 |
Schinus molle L. | Anacardiaceae | I | H | 0 | 0 | 1 | 4 | 66 | 4 | b | 26 |
Schinus terebinthifolia Raddi | Anacardiaceae | E | H | 4 | 2 | 3 | 2 | 0 | 22 | c | 51 |
Spiraea japonica L.f. | Rosaceae | C | H | 3 | 1 | 0 | 4 | 40 | 11 | a | 29 |
Tecoma stans (L.) Juss. ex Kunth | Bignoniaceae | C | M | 2 | 2 | 1 | 1 | 0 | 11 | a | 25 |
Thunbergia grandiflora (Roxb. ex Rottl.) Roxb. | Acanthaceae | NW | H | 1 | 1 | 2 | 1 | 0 | 9 | c | 25 |
Wisteria sinensis (Sims) Sweet | Leguminosae | C | H | 5 | 3 | 2 | 5 | 64 | 9 | a | 54 |
Yucca aloifolia L. | Asparagaceae | C | M | 2 | 1 | 1 | 6 | 24 | 4 | a, b | 23 |
Ziziphus jujuba Mill. | Rhamnaceae | E | H | 3 | 2 | 1 | 4 | 23 | 17 | a | 38 |
Species | Family | Status | Climatic confidence suitability | Impacts on | No. parks | STV | WRA | PI | |||
---|---|---|---|---|---|---|---|---|---|---|---|
Env. | Soc. | Value | Source | ||||||||
Spp. | Ecos. | ||||||||||
Acer platanoides L. | Sapindaceae | E | H | 0 | 3 | 0 | 13 | 52 | 16 | c | 31 |
Albizia julibrissin Durazz. | Leguminosae | E | H | 1 | 1 | 0 | 9 | 53 | 14 | a | 32 |
Berberis aquifolium Pursh | Berberidaceae | NW | H | 1 | 1 | 0 | 6 | 0 | -2 | c | 3 |
Ficus elastica Roxb. ex Hornem. | Moraceae | NW | H | 2 | 3 | 0 | 6 | 66 | 6 | c | 26 |
Jacaranda mimosifolia D.Don | Bignoniaceae | C | M | 1 | 2 | 0 | 10 | 52 | -1 | b | 17 |
Lagerstroemia indica L. | Lythraceae | NW | M | 2 | 2 | 0 | 15 | 105 | 10 | c | 39 |
Morus nigra L. | Moraceae | C | H | 1 | 1 | 0 | 1 | 53 | 4 | a | 24 |
Phormium tenax J.R.Forst. & G.Forst. | Xanthorrhoeaceae | I | H | 1 | 3 | 0 | 8 | 53 | 10 | a | 29 |
Pinus patula Schiede ex Schltdl. & Cham. | Pinaceae | NW | M | 0 | 2 | 0 | 1 | 0 | 0 | c | 0 |
Pyrus calleryana Decne. | Rosaceae | NW | H | 1 | 1 | 0 | 4 | 28 | 1 | c | 12 |
Trachycarpus fortunei (Hook.) H.Wendl. | Arecaceae | C | H | 1 | 1 | 0 | 21 | 41 | -3 | c | 10 |
Zelkova serrata (Thunb.) Makino | Ulmaceae | NW | H | 0 | 2 | 0 | 4 | 0 | -4 | c | -3 |
Finally, the Uncertainty list (Appendix 2) has 96 species (24.7% of total non-native species). Unfortunately, we could not find information on the 228 remaining species (58.8%), and thus, they were classified in the Data Deficient list (Appendix 3).
Invasive and potentially invasive species occurrence
⌅There are 21 parks (46%) with some regulated species. On average, parks have 0.57 ± 0.11 (mean ± SE) invasive regulated species from the Priority List; more concretely, two parks have three regulated species, one park has two regulated species, and 18 parks (39%) have one regulated species. In addition, parks have 8.65 ± 0.97 invasive or potentially invasive species (i.e., species listed in the Attention and Watch Lists) from which 3.15 ± 0.39 are casual, 1.98 ± 0.24 are established, and 2.09 ± 0.27 non-regulated invasive in Spain. A very relevant finding is that we did not find a park without any invasive or potentially invasive species.
There is a significant positive correlation between the occurrence of these 59 invasive and potentially invasive species with the Standard Trending Value (Pearson’s R = 0.52; p-value < 0.001). However, the correlation between species occurrence and their WRA score was not significant (Pearson’s R = -0.23; p-value = 0.085) (Fig. 2).
Potential impacts of invasive and potentially invasive species
⌅Almost the 80% of the 59 invasive and potentially invasive species have the potential to compete with native species. At the ecosystem level, the most relevant potential impact is the physical modification of the habitat (71% species), followed by impacts on natural succession (56%). The most common potential socioeconomic impact is on human health, with 53% species. The least represented potential impacts are disruption of the food webs (15%), impacts on infrastructures (15%), parasitism (10%) and hybridization with native species (10%) (Fig. 3).
On average, 19.21 ± 3.59 species can cause impacts, and species with potential to cause impact are present in 6.02 ± 1.59 parks. By relating the number of species causing each impact type with their occurrence, according to their average values, we found the following patterns. First, there are three impacts (i.e., human health, physical modification of habitats and competition) that are caused by more species than average. The most frequent impact is on human health, with species causing this impact present in 7.29 ± 1.26 parks. Second, there is one impact (i.e., natural succession) caused by more species than average (33), but they are present in less parks than average (5.58 ± 0.94). Third, there are five impacts (i.e., disease transmission, interaction with other invasive species, and disruption of food webs, on nutrient cycling and on agriculture) that are also caused by less species than average, but they are present in more parks than average. Finally, five impacts (i.e., hybridization, parasitism, poisoning, toxicity and allelopathy, impacts on infrastructures and other socioeconomic impacts) are caused by less species than average and are present in less parks than average (Fig. 4).
There was no negative correlation between any pair of impacts but 18 with significant positive correlations (Fig. 5). The highest correlation was between poisoning, allelopathy and toxicity and impacts on agriculture (Pearson’s R = 0.52); toxicity is also highly related to human health (R = 0.30) and other socio-economic impacts (R=0.37). There were also high correlations, between competition, the different types of toxicity, the alteration of natural succession and the modification of the structure of the habitat, with Pearson’s coefficients between R = 0.34 and R = 0.42. In general terms, there were positive correlations not only between impacts within the same category (i.e., on native species, on ecosystems, and on socioeconomics), but also among impacts across categories.
DISCUSSION
⌅Species lists
⌅The introduction of plants for ornamental purposes is the main deliberate pathway for plant invasions (van Kleunen & al. 2018van Kleunen M., Essl F., Pergl J., Brundu G., Carboni M., Dullinger S., Early R., González-Moreno P., Groom Q.J., Hulme P.E., Kueffer C., Kühn I., Máguas C., Maurel N., Novoa A., Parepa M., Pyšek P., Seebens H., Tanner R., Touza J., Verbrugge L., Weber E., Dawson W., Kreft H., Weigelt P., Winter M., Klonner G., Talluto M.V. & Dehnen-Schmutz K. 2018. The changing role of ornamental horticulture in alien plant invasions. Biological Reviews 93: 1421-1437.). Unfortunately, this path includes some of the most harmful invasive plant species (Hulme 2007Hulme P.E. 2007. Biological invasions in Europe: drivers, pressures, states, impacts and responses. Biodiversity Under Threat. Issues in Environmental Science and Technology 25: 56-80.). In Spain, no park is free of planted invasive or potentially invasive species. One striking result is that almost half of the parks studied have at least one regulated invasive species (Priority List). In the parks analyzed, there are four invasive species (Ailanthus altissima, Acacia dealbata, Buddleja davidii and Opuntia ficus-indica) that are regulated and thus their plantation is forbidden (Fifth Transitory Provision, BOE 2013BOE. 2013. Real Decreto 630/2013, de 2 de agosto, por el que se regula el Catálogo español de especies exóticas invasoras. BOE 185 (Sec. I.): 56764-56786.). Moreover, A. altissima, present in 43.5% of the parks studied, is also listed as invasive by the European Regulation (European Commission 2019European Commission. 2019. COMMISSION IMPLEMENTING REGULATION (EU) 2019/1262 of 25 July 2019 amending Implementing Regulation (EU) 2016/1141 to update the list of invasive alien species of Union concern. Official Journal of the European Union L 199: 1-4.). These species shall not be kept, bred or permitted to reproduce or grown, unless it is done in contained holding, where are physically isolated and cannot escape or spread by unauthorized persons (European Commission 2014European Commission. 2014. Regulation (EU) No 1143/2014 of the European Parliament and of the Council of 22 October 2014 on the prevention and management of the introduction and spread of invasive alien species. Official Journal of the European Union L 317: 35-55.). Therefore, these species should be removed from the Spanish urban parks.
On the other hand, our analysis identified only one species with no risk to be invasive. Ficus benjamina is the only species in our Green list. Based on the consulted scientific evidence (CABI 2020CABI. 2020. Invasive Species Compendium. Wallingford, UK: CAB International. www.cabi.org/isc [accessed: 25 May 2020].), this species can be planted safely. However, the criteria to classify a species in the Green list is that they are not established in Spain, not invasive anywhere and the climate in mainland Spain is not suitable. The propagule pressure is an important factor determining invasion (Lockwood & al. 2005Lockwood J.L., Cassey P. & Blackburn T. 2005. The role of propagule pressure in explaining species invasions. Trends in Ecology & Evolution 20: 223-228., 2009Lockwood J.L., Cassey P. & Blackburn T.M. 2009. The more you introduce the more you get: the role of colonization pressure and propagule pressure in invasion ecology. Diversity and Distributions 15: 904-910.), so it is worth considering that planting species in large quantities and in many locations can change this scenario. There are possibly many species in the Data Deficient list that could be moved to the Green list but our methodology is conservative and based on the precautionary principle. We cannot encourage planting non-native species for which there is not enough information on their invasion potential.
One of the highest interests for management are the species belonging to the Attention and the Watch lists. These are invasive and potentially invasive species in which we performed a detailed analysis of the impacts they can cause according to the mechanisms proposed in Blackburn & al. (2014)Blackburn T.M., Essl F., Evans T., Hulme P.E., Jeschke J.M., Kühn I., Kumschick S., Marková Z., Mruga\la A., Nentwig W., Pergl J., Pyšek P., Rabitsch W., Ricciardi A., Richardson D.M., Sendek A., Vilà M., Wilson J.R.U., Winter M., Genovesi P. & Bacher S. 2014. A unified classification of alien species based on the magnitude of their environmental impacts. PLoS Biology 12: e1001850.. We recommend that species in the Attention list should be considered for regulation, especially all the species with high Priority Indexes such as Ricinus communis L. (PI = 73), Robinia pseudoacacia (PI = 73), Parkinsonia aculeata L. (PI = 67) and Eucalyptus globulus Labill. (PI = 65). The remaining species of the Attention list should be at least part of a monitoring program to prevent their spread in natural areas adjacent to parks. Moreover, the 12 species in the Watch list should also be included in early warning and active surveillance programs such as the lists of non-native species potentially capable of competing with native species, altering their genetic purity or ecological balances, set out by the Ministry of Ecological Transition of Spain (BOE 2020BOE. 2020. Real Decreto 570/2020, de 16 de junio, por el que se regula el procedimiento administrativo para la autorización previa de importación en el territorio nacional de especies alóctonas con el fin de preservar la biodiversidad autóctona española. BOE 184: https://www.boe.es/eli/es/rd/2020/06/16/570/con ).
Because our method is reproducible, new available information has served to provide here some updates compared to a previous risk analysis on nursery plants (Bayón & Vilà 2019Bayón Á. & Vilà M. 2019. Horizon scanning to identify invasion risk of ornamental plants marketed in Spain. NeoBiota 52: 47-86.). Specifically the species Cupressus arizonica Greene and Jacaranda mimosifolia D.Don., that were in the Uncertainty list are now classified in the Watch list because the low number of impacts according to CABI (2020)CABI. 2020. Invasive Species Compendium. Wallingford, UK: CAB International. www.cabi.org/isc [accessed: 25 May 2020].. However, there are still many species (96) in the Uncertainty list and up to 228 species (more than the half non-native species of the whole dataset) in the Data Deficient list, with no data available at all. This is a recurring problem that deserves to be addressed as soon as possible (Bayón & Vilà 2019). We think that periodic updates of species listing are needed, as new information is available (Gallardo & al. 2016Gallardo B., Clavero M., Sánchez M.I. & Vilà M. 2016. Global ecological impacts of invasive species in aquatic ecosystems. Global Change Biology 22: 151-163.), a task that requires a collective effort of a larger team of experts (González-Moreno & al. 2014González-Moreno P., Diez J.M., Ibáñez I., Font X. & Vilà M. 2014. Plant invasions are context-dependent: multiscale effects of climate, human activity and habitat. Diversity and Distributions 20: 720-731.; Roy & al. 2019Roy H.E., Bacher S., Essl F., Adriaens T., Aldridge D.C., Bishop J.D.D., Blackburn T.M., Branquart E., Brodie J., Carboneras C., Cottier-Cook E.J., Copp G.H., Dean H.J., Eilenberg J., Gallardo B., Garcia M., García-Berthou E., Genovesi P., Hulme P.E., Kenis M., Kerckhof F., Kettunen M., Minchin D., Nentwig W., Nieto A., Pergl J., Pescott O.L., Peyton J.M., Preda C., Roques A., Rorke S.L., Scalera R., Schindler S., Schönrogge K., Sewell J., Solarz W., Stewart A.J.A., Tricarico E., Vanderhoeven S., Velde G. van der, Vilà M., Wood C.A., Zenetos A. & Rabitsch W. 2019. Developing a list of invasive alien species likely to threaten biodiversity and ecosystems in the European Union. Global Change Biology 25: 1032-1048.).
Society interest on invasive and potentially invasive species
⌅We found a positive correlation between the standard trending values (STV) of the species and their occurrence in the parks. This result reinforces the notion that a greater prevalence of species at urban parks generates greater interest in people. This can cause a fashion-creating effect that can act as a snowball process influencing in turn the interest on some particular species to be planted for instance in private gardens. It has been proven that an increase in Google, reflected in the Google Trends statistics, is directly related to an increase in private commerce (Vosen & Schmidt 2011Vosen S. & Schmidt T. 2011. Forecasting private consumption: survey-based indicators vs. Google trends. Journal of Forecasting 30: 565-578.). Thus, the presence of invasive and potentially invasive species may be generating an interest, which translates into a greater use of these species, increasing their trade and commerce, and so the dispersion of propagules through the private breeding and cultivation, favoring invasions (Lenda & al. 2014Lenda M., Skórka P., Knops J.M.H., Moroń D., Sutherland W.J., Kuszewska K. & Woyciechowski M. 2014. Effect of the internet commerce on dispersal modes of invasive alien species. PloS One 9: e99786.; Hulme & al. 2018Hulme P.E., Brundu G., Carboni M., Dehnen-Schmutz K., Dullinger S., Early R., Essl F., González-Moreno P., Groom Q.J., Kueffer C., Kühn I., Maurel N., Novoa A., Pergl J., Pyšek P., Seebens H., Tanner R., Touza J.M., van Kleunen M. & Verbrugge L.N.H. 2018. Integrating invasive species policies across ornamental horticulture supply chains to prevent plant invasions. Journal of Applied Ecology 55: 92-98.). On the other hand, promoting the use of ornamental native species, can generate an awareness effect that favors people’s interest on the native flora, and urban parks can also be considered of conservation interest (Alvey 2006Alvey A.A. 2006. Promoting and preserving biodiversity in the urban forest. Urban Forestry & Urban Greening 5: 195-201.; Vaz & al. 2018Vaz A.S., Castro-Díez P., Godoy O., Alonso Á., Vilà M., Saldaña A., Marchante H., Bayón Á., Silva J.S., Vicente J.R. & Honrado J.P. 2018. An indicator-based approach to analyse the effects of non-native tree species on multiple cultural ecosystem services. Ecological Indicators 85: 48-56.).
Impacts of invasive and potentially invasive species
⌅The use of non-native species in urban parks is worrisome for the impacts they can cause if they escape and invade natural ecosystems. Eighty percent of the invasive and potentially invasive species can compete with native species, 71% can modify the habitat and 52% can cause human health impacts. The species with the potential to cause these impacts have higher occurrence than average. In particular, there are more than 30 species, which can cause human health problems. Considering that these species cause these impacts due to their traits, (i.e., toxicity, allergenicity, have thorns, etc.) even if they do not establish in the wild, we recommend these species to be removed from parks.
The ability to modify native habitats, to compete with native species, to modify the natural succession, and to be toxic are impacts highly correlated to each other. Our analysis does not demonstrate causality. However, some direct links might take place. For example, allelopathy, included as a toxicity impact, might increase plant competition by influencing soil nutrient availability (Inderjit & del Moral 1997Inderjit & del Moral R. 1997. Is separating resource competition from allelopathy realistic? The Botanical Review 63: 221-230.; Medina-Villar & al. 2017Medina-Villar S., Alonso Á., Castro-Díez P. & Pérez-Corona M.E. 2017. Allelopathic potentials of exotic invasive and native trees over coexisting understory species: the soil as modulator. Plant Ecology 218: 579-594.); competition with native plants also changes species composition and diversity, and thus, succession and habitat structure (Schoener 1974Schoener T.W. 1974. Competition and the form of habitat shift. Theoretical Population Biology 6: 265-307.). Moreover, as this category of impact includes not only allelopathy, but also toxicity and poisoning, they can also cause impacts on human health. In fact, poisoning, allelopathy and toxicity are the impacts with the highest number of correlations, being also highly related to the impacts on agriculture because allelopathy can have an inhibitory effect on crop production (Qasem & Foy 2001Qasem J.R. & Foy C.L. 2001. Weed Allelopathy, Its Ecological Impacts and Future Prospects. Journal of Crop Production 4: 43-119.), and cause livestock poisoning.
Hybridization and disruption of the food webs are not correlated to any other impact. That the disruption of the food webs is not correlated to other impacts such as competition with native species, the physical modification of the habitats or changes in nutrient cycling is an unexpected result. We think that a deeper analysis of species impact profiles is needed to test whether these unexpected result holds in other species assemblages, or whether our non-significant correlations are due to limited information from the pool of species analyzed. Finally, it is worth mentioning that we did not found cases of counterbalancing impacts, thus synergies are more common than trade-off between pairs of impacts (Vilà & Hulme 2017Vilà M. & Hulme P.E. 2017. Non-native Species, Ecosystem Services, and Human Well-Being. In: M. Vilà & P. E. Hulme (eds.), Impact of Biological Invasions on Ecosystem Services (pp. 1-14). Springer International Publishing.).
Possible positive effects of introduced non-native species have not been considered in this paper. From a cultural ecosystem service perspective, the presence of non-native trees are highly valued by aesthetics, eco-tourism and as cultural heritage (Vaz & al. 2018Vaz A.S., Castro-Díez P., Godoy O., Alonso Á., Vilà M., Saldaña A., Marchante H., Bayón Á., Silva J.S., Vicente J.R. & Honrado J.P. 2018. An indicator-based approach to analyse the effects of non-native tree species on multiple cultural ecosystem services. Ecological Indicators 85: 48-56.) and, although invasive plants are negatively perceived by most people, their management is not perceived as a high priority relative to other environmental risks (Potgieter & al. 2019Potgieter L.J., Gaertner M., O’Farrell P.J. & Richardson D.M. 2019. Perceptions of impact: Invasive alien plants in the urban environment. Journal of Environmental Management 229: 76-87.). Furthermore, non-native trees can also enhance regulating ecosystem services such as climate regulation, soil fertility and erosion control. However in the context of, not only non-native, but also invasive or potentially invasive species, the valuation of impacts in ecosystem services are strongly context dependent varying across tree types, climatic and socioeconomic conditions of the area of introduction (Castro-Díez & al. 2019 Castro-Díez P., Vaz A.S., Silva J.S., Loo M. van, Alonso Á., Aponte C., Bayón Á., Bellingham P.J., Chiuffo M.C., DiManno N., Julian K., Kandert S., Porta N.L., Marchante H., Maule H.G., Mayfield M.M., Metcalfe D., Monteverdi M.C., Núñez M.A., Ostertag R., Parker I.M., Peltzer D.A., Potgieter L. J., Raymundo M., Rayome D., Reisman-Berman O., Richardson D.M., Roos R.E., Saldaña A., Shackleton R.T., Torres A., Trudgen M., Urban J., Vicente J.R., Vilà M., Ylioja T., Zenni R.D. & Godoy O. 2019. Global effects of non-native tree species on multiple ecosystem services. Biological Reviews 94: 1477-1501. ). For this reason, analyses as the ones described in this paper are of great scientific and management interest.
CONCLUSIONS
⌅We have provided the first risk analysis of the invasion potential of woody species widely planted in representative urban parks across Spain. Overall, our results show that despite invasive and potentially invasive species are a minority of the total number of species present at Spanish urban parks, all parks host some of them. These species have the potential to cause several impacts if they scape and establish in the wild. Interestingly, the ones with the highest interest to society are planted in more parks. Because the introduction of plant species for ornamental purposes is one of the major pathways of invasion (Mayer & al. 2017Mayer K., Haeuser E., Dawson W., Essl F., Kreft H., Pergl J., Pyšek P., Weigelt P., Winter M., Lenzner B. & van Kleunen M. 2017. Naturalization of ornamental plant species in public green spaces and private gardens. Biological Invasions 19: 3613-3627.; Haeuser & al. 2018Haeuser E., Dawson W., Thuiller W., Dullinger S., Block S., Bossdorf O., Carboni M., Conti L., Dullinger I., Essl F., Klonner G., Moser D., Münkemüller T., Parepa M., Talluto M.V., Kreft H., Pergl J., Pyšek P., Weigelt P., Winter M., Hermy M., van der Veken S., Roquet C. & Kleunen M. van. 2018. European ornamental garden flora as an invasion debt under climate change. Journal of Applied Ecology 55: 2386-2395.), our risk analysis indicates that more research is needed on the constraints of ornamental plants to establish in natural areas and to cause impact.