Data Paper |
Corresponding author: Gabriela I. E. Brancatelli ( gabriela.brancatelli@uns.edu.ar ) Academic editor: Yiannis Matsinos
© 2018 Gabriela I. E. Brancatelli, Sergio M. Zalba.
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:
Brancatelli GIE, Zalba SM (2018) Vector analysis: a tool for preventing the introduction of invasive alien species into protected areas. Nature Conservation 24: 43-63. https://doi.org/10.3897/natureconservation.24.20607
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Invasive alien species are the main agent of biodiversity loss in protected natural areas. Prevention is the most appropriate management tool for addressing this challenge, however, virtually all ongoing management efforts are focused on established populations. Although invasion processes include stochastic components, it is possible to compare the different vectors of introduction that operate in a particular area in terms of their potential to transport species of high risk of invasion efficiently and, once identified, to establish strategies of prevention, early detection and rapid action. This study proposes a system of prioritization of vectors of alien plant dispersal for optimizing the efforts for preventing invasion. The system was developed for the Ernesto Tornquist Provincial Park (province of Buenos Aires, Argentina), but it is directly applicable to other areas. Natural and anthropogenic vectors were evaluated and lists of the species potentially transported by each vector were elaborated according to the characteristics of their propagules. The system analyzes the relative importance of each vector according to: 1) the severity of the potential impact of transportable species, 2) the difficulty of controlling these species, and 3) the volume of transportable propagules. In the case under study, the maximum value of risk corresponds to cargo, followed by vehicles, streams, unintentional human transport, intentional human transport, wind and finally, animals. This analysis can lead to prevention strategies, mapping of dispersal routes and actions of early detection and rapid response.
biological invasions, pathways, prevention, protected areas, vectors
The impact of invasive alien species is a key component of global change and it is considered one of the main causes of biodiversity loss worldwide (
Invasion processes involve the successful overcoming of several challenges: a potential invader must survive transport from its place of origin, become established in the new site, persist and reproduce until a sustainable population is formed that eventually expands (
The management of invasive alien species includes four basic components: prevention, early detection, eradication and control that coincide with each stage of the invasion process (
Vectors are the transfer mechanisms responsible for the introduction and spread of invasive species in a certain area, including a wide variety of physical means or agents, from ballast water to horticulture, biological control and aquaculture (
Many risk analysis associated to the probabilities of introduction by certain vectors has been developed, mostly at national or state borders (
Moreover, the scarcity of tools for organizing actions that reduce the risk of introduction and establishment of new species is daunting (
Vectors also travel through more or less predictable routes known as pathways (
The objective of this study is to create a system of risk analysis for the introduction of invasive or potentially invasive alien plants by identifying the vectors of the highest priority for control. We selected the Ernesto Tornquist Provincial Park, a nature reserve located in the southern part of the Pampas Biome, in the Argentine Republic, as a case of analysis for the elaboration and application of this system. The park is dominated by grass steppes and surrounded by an agricultural landscape. Vectors of plant dispersal in the area include physical means like wind and watercourses, dispersal by birds, mammals and invertebrates, and human mediated spread in association to footwear and clothing, vehicles and cargo (
The reserve undergoes intense invasions by alien species, including different species of trees and shrubs (
The Pampas biome is one of the most characteristic landscapes in southern South America, as well as being one of the most greatly transformed ecosystems by anthropogenic actions, with only a very small area that is protected effectively (Bertonatti et al. 2000,
The characteristics of the propagules (presence of wings, pappus, hooks, sweet pulp, etc.) and dispersal strategies of the 46 species considered to be of high priority for prevention were analyzed from the literature and the vectors that might intervene in their dispersion were identified.
In order to analyze the relative importance of each vector, the severity of the potential impact and the difficulty of controlling each transportable species were taken into account, as well as the volume of propagules that the vector could carry.
The potential impact of the vector index (PIV) was defined as the weighted sum of the number of species transportable by a vector for each category of potential impact:
PIV = 100 * number of species with high PI + 10 * number of species with medium PI + number of species with low PI.
The values of high, medium and low potential impact were taken from
The control difficulty index of the species transported by the vector (CDV) was defined as the weighted sum of the number of species transportable by the said vector corresponding to each category of control difficulty:
CDV = 100 * number of species with high CD + 10 * number of species with mean CD + number of species with low CD.
The values of high, medium and low control difficulty were also extracted from
The severity of impact of each vector (SI) was calculated from the values of the potential impact and control difficulty indexes of the species transported by the vector, according to:
SI = (PIV + CDV) / SImax
Where SImax represents the maximum severity of impact obtained among the considered vectors.
The Transportable Volume (TV) was estimated by analyzing both the number of propagules available for transport (TP) and the carrying capacity of the vector (CC).
The number of available propagules (TP) for each vector was calculated by combining the information related to the abundance of the species in the area with the production and temporal availability of transportable propagules by that vector.
The abundance of each species in the study area was estimated on a relative scale, assigning a value of 1 to the rare species (few populations of a few individuals), the value of 2 to the abundant species (few populations with many individuals or many populations with few individuals) and the value of 3 to very abundant species (many populations with many individuals). This information was obtained from literature (
These three variables were multiplied by each other to calculate the abundance of propagules for each species. The abundance values of propagules for all transportable species were added to obtain the total number of propagules available for transport by each vector (TP).
Two variables were considered for estimating the carrying capacity of each vector (CC): 1- the volume transported in each potential introduction event, defined in relative units: 1 small; 10 medium; 100 large; 1000 very large, and 2- the frequency of vector activity throughout the year in the study area, expressed in relative units: 1 low; 10 medium; 100 high; 1000 very high.
These two variables were multiplied to calculate the carrying capacity (CC) of each vector.
The transportable volume (TV) per vector was calculated by adding the propagation availability and carrying capacity:
TV = (TP +CC) / TVmax
Where TVmax represents the volume of transportable propagules by the vector with the greatest transport capacity.
Finally, the values of impact severity (SI) and transportable volume (TV) were combined to calculate the risk associated with each vector (RV):
RV = (2 * SI+ TV) / 3
The impact severity value was multiplied by 2 to reflect its relative importance when analyzing the risk associated with each vector.
A diagram of this analysis is presented in Fig.
The analysis of the propagules and dispersal strategies of the species of high priority of prevention in the PPET allowed us to associate them with a total of three natural and three anthropogenic vectors. The natural vectors identified were streams, wildlife and wind. The anthropogenic vectors included transport by vehicles (in mud attached to the chassis and tyres), movement directly associated with people (unintentional: in footwear and clothing, food, camping equipment, and intentional: ornamental plants and vegetables) and the movement associated with cargo (soil, sand, debris, and dry plant material).
Of the 46 species evaluated, 25 have propagules with structures that facilitate their dispersion by wind (e.g. small and light seeds, winged diasporas, feathery organs), 7 show seeds with traits that promote their dispersal by water (light seeds or floating vegetative structures) and 13 fruits are potentially dispersed by animals (edible or with hooks, barbs or awns that adhere to fur). We also concluded that all the propagules of the analyzed species could be transported in loads of materials (earth, debris, sand), whereas 39 show traits that would facilitate their transport by cars, trucks and other vehicles (small seeds, adherent propagules). Twenty-eight species could be easily dispersed directly and unintentionally by people (on footwear and clothing, such as fruits of food plants or associated with camping equipment). Finally, 23 species could be intentionally mobilized by the people for their ornamental value or cultivation for other human purposes (Appendix
Vectors of introduction and spread of invasive and potentially invasive alien plants present in intensive use zones of the Ernesto Tornquist Provincial Park and it’s surroundings (Buenos Aires, Argentina). A Number of species associated to each dispersion vector according to the characteristics of their fruits and seeds and their human use B Severity of impact of vectors depending on the potential impact of transportable species and the difficulty of their control C Relative capacity of vectors to transport propagules D Risk associated with vectors depending on the potential impact of transportable species, the difficulty of their control and the transport capacity of the vector.
The analysis of the different vectors, combining the potential impact of the transportable species (
Regarding the transport capacity of the different vectors, the transportable propagules index varied between 11 and 226, again reaching the maximum value for cargo and the minimum for streams.
Twenty species were evaluated as very abundant, 16 as abundant and 10 as rare. A high number of propagules were produced by 30.4% of the species under study, moderate production by 50% and a low number of propagules by eight species (17.4%). Only one species (Melia azedarach) was considered as having a very high production of propagules.
It was defined that propagules of all plants that can be transported in association with cargo or intentionally by humans are available for these vectors for 12 months per year. Vehicles and unintentional human transport might transport species with available propagules for periods of two to five months per year; whereas animals and streams could transport species with available propagules between one and 12 months per year. The wind vector could disperse species with available propagules between one and three months per year.
The carrying capacity, for its part, was considered maximum for the cargo, stream and wind vectors, whereas the minimum value was for the vehicle and unintentional human transport vectors.
The volume transported at each potential introduction event was considered to be very large for cargo, streams, wind and intentional human transport; medium for vehicles and animals and small for unintentional human transport.
Only intentional human transport was considered to have a very low frequency of activity. For unintentional transport by humans and mediated by animals, the frequency is considered high, whereas it is classified as medium for cargo, wind, vehicles and streams.
Thus, the transportable volume index resulted maximum for cargo (1), followed immediately by streams and wind (0.98), whereas the rest of the vectors received values of ten to one hundred times lower in terms of their relative transport capacity (Fig.
The combination of the information described allowed us to calculate the risk associated with each vector, being maximum for cargo (1), followed by vehicles (0.58) and streams (0.43), unintentional human transport (0.38), intentional human transport (0.36), wind (0.35) and wildlife (0.24) (Fig.
Vectors characterization. Potential impact (PIV), control difficulty (CDV), severity of impact (SI), transportable propagules (TP), individual transport capacity, activity frequency, carrying capacity (CC), transportable volume (TV) and resulting risk (RV) for vectors capable of transporting invasive and potentially invasive alien plants present in intensive use zones of the Ernesto Tornquist Provincial Park and it’s surroundings (Buenos Aires, Argentina).
Cargo | Vehicles | Streams | Unintencional by people | Intentional by people | Wind | Wildlife | |
---|---|---|---|---|---|---|---|
PIV | 1693 | 1461 | 240 | 1081 | 833 | 871 | 481 |
CDV | 1891 | 1659 | 321 | 937 | 896 | 817 | 643 |
SI | 1 | 087 | 0.16 | 0.56 | 0.48 | 0.47 | 0.31 |
TP | 226 | 53.08 | 11 | 35.17 | 101.10 | 13 | 16.42 |
Indiv. Capacity | 1000 | 10 | 1000 | 1 | 1000 | 1 | 10 |
Frequency | 10 | 10 | 10 | 100 | 1 | 1000 | 100 |
CC | 10000 | 100 | 10000 | 100 | 1000 | 1000 | 1000 |
TV | 1 | 0.01 | 0.98 | 0.01 | 0.11 | 0.11 | 0.11 |
RV | 1 | 0.58 | 0.43 | 0.38 | 0.36 | 0.35 | 0.24 |
In this study, we designed and applied a risk analysis system associated with vectors responsible for the introduction and dispersal of plant species, which constitutes a simple and novel alternative of high potential value for decreasing the risk associated to invasive species by reducing propagule pressure in a variety of ways: improving detection measures and border policies, limiting vector contamination, controlling invasive populations in source regions, helping to raise public awareness of problems to find alternatives for invasive species (
As discussed in detail below, the ranking obtained in this work is consistent with particular features of our case study, including heavy transit of vehicles associated to tourism and cargo, strong and frequent winds (particularly during plant dispersal seasons), and a dense network of water courses. This situation will clearly change in other reserves, but the framework should still be useful to calculate a specific scoring of dispersal vectors.
The development of an index of the relative importance of vectors of introduction and dispersal presents some challenges, such as comparing vectors as different from each other as the wind and the sole of a shoe. Another weakness associated with this index is related to its need of information about the presence of invasive or potentially invasive species in the area surrounding the reserve that could be not available in some cases. On the other hand, data on previous invasive behavior of the species of interest is becoming easier to obtain with growing regional and national databases on invasive species. Something similar occurs with the characteristics of the species that permit to associate them to dispersal vectors, as most of the potentially invasive plants are regionally or even globally shared (
Apart from the specific function of this analysis, the structure of the proposed indexes allows us to separate the different components associated with the potential impact of each vector and this could guide actions for reducing their potential impact on the area (
The vectors analyzed in our case study are clearly separated into two groups: on the one hand the anthropogenic agents (cargo, vehicles and intentional and unintentional transport by people) and, on the other hand, the natural means of dispersal (water, wind and animals). Due to their intrinsic characteristics, these two sets of vectors are associated with different and complementary management strategies, while the former allow and justify control and preventive actions; the latter are more naturally associated with early detection, since it is difficult or directly not feasible to reduce their transport capacity.
The results of the analysis place the vectors of cargo and transport associated with vehicles among the highest risks of entry of potentially invasive plant species in the study area. A number of studies have shown that unintentional transport by vehicles, either associated directly to the vehicle, or with cargo, is an important mechanism of seed dispersal (
The wind vector represents a particular challenge (
Streams as vectors follow in the order of risk. In this case the preventive measures are more complex and the effort should be directed at monitoring of the banks in search of points of entry of species (
The management of intentional and unintentional anthropogenic transport vectors includes a significant component of education and awareness. In the case of the former, it is essentially a question of avoiding the use of potentially invasive plant species in the staff residences and in the recreation areas (parks, gardens, shade trees) and replacing high risk plants in these sites. The unintentional transportation in clothing, footwear, backpacks, or other personal items have been documented in numerous studies (e.g.
The control of dispersal by animals leaves an even smaller space for prevention tasks, but could motivate monitoring tasks at sites with greater frequency of use by agents of high dispersal efficiency (e.g., wire fences or trees used as perches by frugivorous birds,
Making a list of high-risk species for each place and adapting the vectors that transport them, the analysis developed in this paper can be applied to other protected areas, political units or as a basis for the allocation of prevention efforts, early detection and early control of invasive species, translating the prevention premises frequently seen in the literature on biological invasions into concrete actions.
This work was supported by the National Scientific and Technical Research Council (CONICET), Argentina and Universidad Nacional del Sur, Bahía Blanca, Argentina. We are grateful to the Ernesto Tornquist Provincial Park rangers and authorities and to Rosemary Scoffield and Nicolás D´Onofrio for language revision.
Potentially invasive species assessed. Species of invasive and potentially invasive alien plants present in intensive use zones of the Ernesto Tornquist Provincial Park and it’s surroundings (Buenos Aires, Argentina)., potential impact (PIV), control difficulty (CDV), abundance, propagule production and proportion of months per year in which they are available for transport by each of the vectors identified in the area.
Species | Family | Category | PI | CD | Abundance | Propagule production | WIND | WILDLIFE | STREAMS | UNINTETIONAL by people | INTENTIONAL by people | VEHICLES | CARGO |
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Acacia saligna | Fabaceae (Mimosoideae) | Invasive | Medium | High | Rare | High | 0 | 0.25 | 0 | 0 | 1 | 0.25 | 1 |
Achillea milefollium | Asteraceae | Invasive | Medium | High | Rare | High | 0.17 | 0 | 0 | 0 | 0 | 0.17 | 1 |
Aira elegantísima | Poaceae | Potentially Invasive | Medium | Low | Very Abundant | Moderate | 0.08 | 0 | 0 | 0.17 | 0 | 0.17 | 1 |
Argemone mexicana | Papaveraceae | Invasive | Medium | Medium | Rare | Moderate | 0 | 0.17 | 0 | 0.25 | 0 | 0.25 | 1 |
Arundo donax | Poaceae | Invasive | Medium | High | Abundant | High | 0 | 0 | 1 | 0 | 1 | 0 | 1 |
Bromus hordeaceus | Poaceae | Invasive | High | Medium | Abundant | Moderate | 0.08 | 0 | 0 | 0.17 | 0 | 0.17 | 1 |
Buddleja davidii | Scrophulariaceae | Invasive | Medium | Medium | Abundant | Moderate | 0.25 | 0 | 0 | 0 | 1 | 0.33 | 1 |
Carduus picnocephalus | Asteraceae | Potentially Invasive | High | Medium | Abundant | High | 0.08 | 0 | 0 | 0.17 | 0 | 0.17 | 1 |
Carduus thoermeri | Asteraceae | Potentially Invasive | Medium | High | Very Abundant | High | 0.08 | 0 | 0 | 0.17 | 0 | 0.17 | 1 |
Catapodium rigidum | Poaceae | Potentially Invasive | Medium | Low | Very Abundant | Moderate | 0.08 | 0 | 0 | 0.17 | 0 | 0.17 | 1 |
Chrysanthemum frutescens | Asteraceae | Invasive | Medium | High | Rare | Low | 0.08 | 0 | 0 | 0 | 0 | 0.17 | 1 |
Convolvulus arvensis | Convolvulaceae | Invasive | Medium | High | Very Abundant | High | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
Cynodon dactylon | Poaceae | Invasive | High | High | Very Abundant | Moderate | 0.08 | 0 | 0 | 0.17 | 0 | 0.17 | 1 |
Cynosurus echinatus | Poaceae | Potentially Invasive | Medium | Low | Very Abundant | Moderate | 0.08 | 0 | 0 | 0.17 | 0 | 0.17 | 1 |
Datura ferox | Solanaceae | Invasive | Medium | High | Abundant | High | 0 | 0.25 | 0 | 0 | 0 | 0.33 | 1 |
Digitaria sanguinalis | Poaceae | Potentially Invasive | Medium | Low | Abundant | High | 0.08 | 0 | 0.08 | 0.17 | 0 | 0.17 | 1 |
Echinochloa crusgalli | Poaceae | Invasive | Medium | Medium | Very Abundant | Moderate | 0.08 | 0 | 0.08 | 0.17 | 0 | 0.17 | 1 |
Eragrostis curvula | Poaceae | Potentially Invasive | High | High | Very Abundant | Moderate | 0.08 | 0 | 0 | 0.17 | 0 | 0.17 | 1 |
Eucalyptus globulus | Myrtaceae | Invasive | High | Medium | Abundant | High | 0.25 | 0 | 0.25 | 0.33 | 1 | 0.33 | 1 |
Helianthus tuberosus | Asteraceae | Potentially Invasive | Low | Medium | Rare | Low | 0.08 | 0 | 0 | 0.17 | 1 | 0.17 | 1 |
Ibicea lutea | Martyniaceae | Potentially Invasive | Medium | Medium | Rare | Low | 0 | 0.17 | 0 | 0 | 1 | 0 | 1 |
Lantana montevidensis | Verbenaceae | Invasive | High | High | Abundant | Moderate | 0 | 0.17 | 0 | 0 | 1 | 0.25 | 1 |
Ligustrum sinense | Oleaceae | Invasive | Medium | High | Very Abundant | High | 0 | 0.17 | 0.17 | 0.25 | 1 | 0.25 | 1 |
Linaria texana | Scrophulariaceae | Potentially Invasive | Medium | Low | Rare | Low | 0 | 0.08 | 0 | 0 | 1 | 0 | 1 |
Lolium multiflorum | Poaceae | Potentially Invasive | Medium | Medium | Very Abundant | Moderate | 0.08 | 0 | 0 | 0.17 | 1 | 0.17 | 1 |
Lonicera japonica | Caprifoliaceae | Invasive | Medium | High | Abundant | Moderate | 0 | 0.17 | 0 | 0.25 | 1 | 0.25 | 1 |
Lotus glaber | Fabaceae (Faboideae) | Potentially Invasive | Medium | High | Abundant | High | 0 | 0 | 0 | 0.33 | 1 | 0.33 | 1 |
Matricaria recutita | Asteraceae | Potentially Invasive | Medium | Low | Very Abundant | Low | 0.08 | 0 | 0 | 0.17 | 1 | 0.17 | 1 |
Melia azedarach | Meliaceae | Potentially Invasive | High | High | Rare | Very High | 0 | 0.33 | 0 | 0.42 | 1 | 0.42 | 1 |
Melissa officinalis | Lamiaceae | Potentially Invasive | Low | Medium | Abundant | Low | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
Miriabilis jalapa | Nyctaginaceae | Invasive | High | High | Abundant | Moderate | 0.17 | 0 | 0 | 0.25 | 1 | 0.25 | 1 |
Oenothera rosea | Onagraceae | Potentially Invasive | Low | Low | Rare | Low | 0 | 0.17 | 0 | 0 | 1 | 0 | 1 |
Picris echiodes | Asteraceae | Potentially Invasive | Medium | Low | Very Abundant | Moderate | 0.08 | 0 | 0 | 0.17 | 0 | 0.17 | 1 |
Poa annua | Poaceae | Potentially Invasive | Medium | Medium | Very Abundant | Moderate | 0.08 | 0 | 0 | 0.17 | 0 | 0.17 | 1 |
Polypogon monspeliensis | Poaceae | Potentially Invasive | Medium | Medium | Abundant | Moderate | 0.08 | 0 | 0 | 0.17 | 0 | 0.17 | 1 |
Portulaca oleracea | Portulacaceae | Invasive | High | Medium | Very Abundant | High | 0 | 0 | 0 | 0.25 | 1 | 0.25 | 1 |
Prunella vulgaris | Lamiaceae | Potentially Invasive | Medium | Low | Abundant | Low | 0.17 | 0 | 0 | 0 | 1 | 0.25 | 1 |
Rapistrum rugosum | Brassicaceae | Potentially Invasive | Medium | Medium | Very Abundant | Moderate | 0 | 0 | 0 | 0.25 | 0 | 0.25 | 1 |
Rhamnus alaternus | Rhamnaceae | Invasive | High | Medium | Very Abundant | High | 0 | 0.25 | 0 | 0.33 | 0 | 0.33 | 1 |
Salix viminalis | Salicaceae | Potentially Invasive | Medium | Medium | Very Abundant | Moderate | 0.17 | 0 | 1 | 0.25 | 1 | 0.25 | 1 |
Salsola kali | Quenopodiaceae | Invasive | High | High | Very Abundant | Moderate | 0.17 | 0 | 0 | 0 | 0 | 0 | 1 |
Sisymbrium orientale | Brassicaceae | Potentially Invasive | Medium | Low | Very Abundant | Moderate | 0 | 0 | 0 | 0.33 | 1 | 0.33 | 1 |
Solanum pseudocapsicum | Solanaceae | Potentially Invasive | High | Low | Abundant | Moderate | 0 | 0.25 | 0 | 0 | 1 | 0.33 | 1 |
Tecoma stans | Bignoniaceae | Invasive | Medium | Medium | Rare | Moderate | 0.08 | 0 | 0 | 0 | 0 | 0.17 | 1 |
Tradescanthia fluminensis | Commelinaceae | Invasive | Medium | Medium | Very Abundant | High | 0 | 1 | 0 | 0 | 1 | 0 | 1 |
Ulex europeus | Fabaceae (Faboideae) | Potentially Invasive | High | High | Abundant | Moderate | 0 | 0 | 0.25 | 0 | 0 | 0.33 | 1 |