Research Article |
Corresponding author: Isabel Pérez-Postigo ( perezpostigo@gmail.com ) Academic editor: Brad Murray
© 2021 Isabel Pérez-Postigo, Jörg Bendix, Heike Vibrans, Ramón Cuevas-Guzmán.
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:
Pérez-Postigo I, Bendix J, Vibrans H, Cuevas-Guzmán R (2021) Diversity of alien roadside herbs along an elevational gradient in western Mexico. NeoBiota 65: 71-91. https://doi.org/10.3897/neobiota.65.67192
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Growing numbers of alien plant species threaten natural ecosystems worldwide. Mexico, as a megadiverse country, has lower numbers of alien species than other regions in America. However, there is a lack of information on the factors that determine the diversity patterns of alien species and their relative importance in the vegetation. The diversity of alien roadside herbs was analysed along an elevational gradient in western Mexico, including their relationship with environmental factors. Three hundred and seventeen herbaceous species were found in 37 sampling sites; 10% were aliens. The proportion of alien species in the ruderal herbaceous communities was lower than the average for this vegetation type in the country. Absolute species richness of natives was significantly and positively correlated with elevation. Absolute species richness of aliens was not significantly correlated with elevation, still; higher values were found at lower elevations. Generalised linear models for relative species richness and relative abundance of aliens with elevation had positive estimates near 0, which, though statistically significant, indicated a weak relationship. Other environmental co-factors, such as the distance to roads and highways, climatic variables, and disturbance indicators, were included in a random forest model. No clear correlation patterns were found. This seemingly random distribution of alien herbaceous plants in the region might be caused by the relatively recent introduction of most of the species. They have not yet had time to expand their distribution to their potential maximum. The early stage of the naturalisation process allows us to minimise the further spread of some species with targeted management and prevent them from becoming invasive.
Environmental variables, exotic plant species, ruderal weed species, Sierra de Manantlán
Mexico has far fewer alien species of higher plants, in both relative and absolute numbers, than the USA and Canada, Europe or various South American countries (
However, Mexico is a mega-diverse country, and it is risky to generalise results derived from individual local or regional projects (
Ruderal and roadside vegetation is often the most critical dispersal channel for the initial introduction of alien plants. Roads cross different environmental conditions, such as soils and climate (
In several studies, low and middle elevations have been shown to host most alien plant species (
Very little literature exists on the distribution of alien plant species along the elevational gradient in tropical or subtropical regions, and the results are highly variable. A study from India found the highest numbers of alien plants at the lowest elevations (
We address the following questions in the paper: 1. How does the invasion level of alien roadside plants vary over an elevation gradient? We expect higher richness at low elevations due to more significant anthropogenic disturbances and shorter distances to seaports and major towns as the initial source of aliens. 2. How does the invasion level relate to other environmental variables representing climate, natural and anthropogenic disturbances? We assume the invasion level to be higher at sites closer to main roads and highways, as well as other anthropogenic disturbances such as fire or grazing intensity. Also, soil compaction should influence the abundance of these plants. We limited our study to herbaceous plants as they are much more common and species-rich in Mexico, difficult to manage, and with different dynamics than woody species.
The study area was the Sierra de Manantlán and adjoining regions in south-western Jalisco, Mexico (see Fig.
Study area. The biosphere reserve (Reserva de la Biosfera Sierra de Manantlán – RBSM) and its adjoining areas, with the locations of transects and location of the study area in a larger context. Land use and vegetation data from CONABIO (http://www.conabio.gob.mx/informacion/metadata/gis/usv250s6gw.xml?_httpcache=yes&_xsl=/db/metadata/xsl/fgdc_html.xsl&_indent=no).
There are two marked seasons, a dry season with only occasional rains and a rainy season of three to four months from June to September. Precipitation patterns differ depending on the exposure: the southern and south-western slopes are windward and humid, and the northern and north-eastern slopes of the Sierra are in the rain shadow and have semi-desertic conditions (
The plants’ intricate distribution patterns result from the above-mentioned climatic factors combined with the geological and evolutionary history. The estimated percentage of endemic species is relatively high: 1% of the plant species in the Sierra de Manantlán is endemic to the Sierra and 3% to the state of Jalisco (
The study area was located in the administrative region Costa-Sur, a geographic region with less than 3% of the population of the state of Jalisco (
We worked at sites with ruderal vegetation along an elevational gradient from sea level near the village of La Manzanilla, La Huerta (19°17.78'N, 104°47.67'W) up to elevations just over 2100 m in the Sierra de Manantlán (19°33.82'N, 104°14.95'W). The selection of the locations was preferential and considered the following criteria: elevation, presence of ruderal vegetation, accessibility, and personal security. We searched for appropriate locations from sea level to 2100 m, with an elevational difference of 300 m between them (that is, 0 m, 300 m, 600 m, and so on). We selected ruderal sites with clearly disturbed vegetation near roads, close to abandoned agricultural areas or former pastures (see the map in Fig.
The data were obtained from 20 m long transects parallel to roads at a distance of 3 to 5 m from the road, to avoid the modified soil near the roadside. We surveyed four to six transects per elevation level, for a total of 37. Some roads were paved or cobbled, but most were dirt roads. Each transect consisted of five plots of 1 m² at meter 1, 5, 10, 15, and 20 of the 20 m transect length (see Fig.
Sampling design, showing the transect location in relation to the road or path with the five 1 m² plots.
All herbaceous species within the 1 m² plot were recorded and identified to species level. We collected several individuals of every unknown morpho-species and at least three individuals of every known species for verification. The vouchers were deposited at the ZEA Herbarium of the University of Guadalajara in Autlán de Navarro. The specimens were identified by consulting specialised literature of the regional flora, identification keys, the Tropicos platform of the Missouri Botanical Garden (www.tropicos.org), and the Herbarium ZEA. One of the co-authors (RCG) is an expert on the regional flora.
We collected 500 specimens, with at least three duplicates each, most of which could be identified to 317 species, and one was a new species not yet published. The remaining specimens could only be determined to genus level, resulting in an additional thirty-five morpho-species. To establish which species were alien, we used the publications of
We documented information on soil and light conditions in the field, and the coordinates with a Garmin eTrex GPS. The slope was measured using a Haga clinometer. Surface stone cover percentage was estimated in four categories, leaf litter depth measured in cm, and the leaf litter cover estimated in percent. For each plot, we measured compaction of the topsoil in kg per cm², using a pocket penetrometer from Soil Test Inc. A high topsoil density can be an indicator of disturbances such as grazing or movement of vehicles (
As mentioned above, not all of our transects were near paved roads with continuous traffic. As a proxy for distance to heavier traffic, we used the distance to paved roads and highways, calculated in QGIS Geographic Information System version 3.10.5, an Open-source Geospatial Foundation Project from The Development Team 2018 using the “distance to nearest hub” function. As reference, we used the data for roads and highways from the year 2012 (Atlas de Caminos y Carreteras del Estado de Jalisco 2012) published by the Government of the State of Jalisco (Datos Abiertos. Gobierno de México, https://datos.gob.mx/).
We also considered the mean temperature and annual precipitation, available at a 30 arc s resolution, the so-called “1 km² scale”, which is equivalent to around 0.86 km² at the equator and less towards the poles. The data were downloaded from the Worldclim database (www.worldclim.org), which includes mean values of the period from 1950 to 2000, interpolated from data from different sources (
Accumulation curves and the estimated number of species in the pool were calculated for all transects and elevation levels, as quality control, using the functions “specpool” and “specaccum” of the “vegan” package in R (
As a measure of the invasion level, we used the relative alien species richness and relative alien abundance. Both measures consider alien species in relationship with total species (native + alien) richness and abundance of the whole transect (
The relation of each environmental variable with alien invasion level, as well as their relative importance and partial dependence, was calculated with the random forest (RF) method. We used the “randomForest” package in R software. RF is a machine learning method based on bagging of classification and regression trees. It is a powerful technique to improve understanding of patterns and processes based on large ecological datasets (
Random forest uses three parameters that have to be defined by the user: the number of trees in the forest, the number of features tried at each node, and the minimum number of data points in each terminal node (
The relative importance of environmental variables was measured as the increase in mean of error (%IncMSE) of a tree in the forest, when the observed values of this variable were randomly permuted in the OOB samples (
Random forest models were run for the relative alien species richness and relative alien abundance; both measures were used at transect (5 m²) scale. The analysis identified the most important environmental variables (see section “Data”), with the model parameters specified above. Since high correlation between included variables does not affect the results of RF variable importance or model performance in general (
We identified 317 herbaceous species in the transects, of which 285 were natives and 32 aliens (see Suppl. material
Elevation was significantly and positively correlated with the richness of native species, though it only explained a small part of the data (p = .007, Fig.
Absolute and relative species richness over elevation in m. Blue lines showing glm predicted values with the 95% confidence interval A total species richness of native herbaceous plants over elevation. Glm coefficient = .0003, p-value = .007, 35 degrees of freedom B total species richness of alien herbaceous plants over elevation. Glm coefficient = -2.386e-05, p-value = .92, 36 degrees of freedom C relative species richness of alien herbaceous plants over the elevation. Glm coefficient = -.0009, p-value = .0276, 35 degrees of freedom D relative species richness of alien herbaceous plants, represented by boxplots for each elevation level. They show the median per transect (5 m²), third and first quartile and extreme values.
For relative alien species richness, the most influential variables were (i) the distance to highways, (ii) the elevation and (iii) tree cover, followed by (iv) the annual mean temperature, (v) the slope and (vi) distance to roads (Fig.
Random forest model performance for relative species richness and relative abundance of alien species. It shows the variance in % explained by the model and the mean of squared residuals as measure of model performance is shown.
Model | Variance explained by the model (%) | Mean of squared residuals |
---|---|---|
Relative species richness | -9.83 | .048 |
Relative abundance | -8.06 | .065 |
Variable importance for relative alien species richness according to the random forest calculations. The figure shows the increase in mean of the error (%IncMSE), also called permutation importance index, on the left side; and the total decrease of node impurity (IncNodePurity) on the right side (distance to highways in m, calculated from open data Jalisco; elevation above sea level in m; tree cover measured per plot; mean annual temperature, obtained from Worldclim data; slope of the transect measured in %; distance to paved roads in m, calculated from open data Jalisco; mean annual precipitation sum, obtained from Worldclim data; soil compaction, measured in kg/m²; grazing intensity estimated as an index from 0/none to 5/severe; leaf litter cover measured in percent of the plot area; stone cover measured in percent of the plot area; leaf litter depth in cm measured in the field; fire intensity estimated as an index from 0/none to 5/severe).
The most important variables for the relative abundance of alien species were (i) the annual mean temperature, (ii) elevation, and (iii) the leaf litter depth, followed by (iv) slope, (v) the distance to highways, and (vi) the tree cover (Suppl. material
The 317 identified species were the equivalent of approximately 12% of the total vascular flora of the Sierra de Manantlán (
The 32 alien species we identified constitute 10% of the herbaceous flora of the samples. This share is low compared to other regions in the country, where the mean percentage of alien species in weedy vegetation is around 20% (
The results of the studies are consistent with the remarkably low number of alien plant species that Mexico has in general when seen in a global context, and despite a long history of commercial exchange with Europe, other parts of North America, and Asia (Philippines). The low proportion may be related to the long history of human disturbance and agriculture in the Mesoamerican cultural region. This history promoted the development of native weed communities, which in turn may prevent an excessive invasion of alien plants (
Though more alien species were recorded at lower elevations, no statistically clear relationship was found. Spatial autocorrelation could be rejected for all models. However, the tendency partly reflects what the literature has shown for other cases: there are more alien species at lower elevations, mainly due to lower human population densities at high elevations (
Relative alien species richness and abundance patterns were closely related, which means that dominant species react in the same way to environmental variables as less dominant species. The RF models for relative species richness and abundance had a low mean of squared residuals, indicating a good performance. But low (negative) variances explained by the models showed that variances of the species data could not be explained by the environmental variables.
The distance to highways was the most significant variable for relative species richness. Up to a distance of around 1 km the relation was negative. After this it was, unexpectedly, mainly positive and contradicted our hypothesis as well as previous literature (
The results from the generalised linear models and the random forest models were contradictory, but in both cases the relations were not very strong. The generalised linear models showed a weak negative relation of the invasion level to elevation. For both random forest models the invasion level was positively related to elevation and negatively to temperature. In other studies alien species richness (not relative species richness) decreased with increasing elevation (
The relationship between tree cover and leaf litter depth seems to contradict each other, as both can be considered indicators for disturbance. For the relative species richness model, tree cover was the third most important variable, with a positive relation. For relative abundance leaf litter depth was at the third position, showing a negative relation. However, this contradiction may be explained by some herbaceous alien species requiring sufficient light to grow, although they may germinate below leaf litter (
Our results show that relative alien species richness and abundance were not strongly related to any of the environmental variables included in this study. Different factors may cause this seemingly random distribution. Previous studies show that the influence of environmental variables on the invasion process varies with the ecosystem (
The conversion from traditional to modern agriculture and urbanisation has caused land-use change on a large scale (
Many African grasses have been planted on large areas as forage for cattle, but only in the last 100 years, and often even more recently (Rzedowski 1990;
For eradication success, the size of the distribution area of the alien species and the time since the initial introduction are highly relevant (
Western Mexico has relatively few alien herbaceous roadside species. They can be found mainly at lower elevations but not directly at the coast. This pattern was expected as introductions occur mainly at lower elevations, where a large part of the land is converted to agricultural land and other uses. Although the relationship was statistically significant, low values of the estimates showed a weak relationship. The result may be related to another finding: the lack of clustering of alien species richness. Both results could be attributed to the fact that most introductions have been relatively recent. The region’s alien plant species have probably not yet expanded sufficiently to show clear distribution patterns. For comparison and in order to confirm this assumption, similar studies would have to be conducted in central and western Mexico. It would be interesting to repeat the study in the future and include further plots in the natural adjacent vegetation to see how the situation develops. In the future, and especially if further introductions are not limited to a minimum, and no targeted management is applied, the number and abundance of alien herbaceous plant species will probably increase. This situation can be viewed as an opportunity to prevent the expansion of introduced species and prevent large-scale invasions through management. Identifying the potential invaders and their potential distribution helps to concentrate management strategies on threatened areas.
This study was conducted in the context of the Doctorate Program in Sciences in Biosystematics, Ecology, and Management of Natural and Agricultural Resources (BEMARENA) of the Universidad de Guadalajara, Mexico. The Consejo Nacional de Ciencia y Tecnología (CONACyT), Mexico, funded the research through a doctoral thesis grant to the first author. We received financial support from the University of Guadalajara through the program Fortalecimiento a la investigación, provided by the Coordinación de Investigación, Posgrado y Vinculación. Members of the Laboratory of the Botany Department at the Centro Universitario de la Costa Sur of the Universidad de Guadalajara helped with the field work and species identification. For the data analysis, we were assisted by the members of the Laboratory for Climatology and Remote Sensing (LCRS) of the Philipps University of Marburg, Germany. The authors declare that no competing interests exist.
Figure S1
Data type: png image
Explanation note: Variable importance for relative abundance of alien species according to the random forest calculations. The figure shows the increase in mean of the error (%IncMSE), also called permutation importance index, on the left side; and the total decrease of node impurity (IncNodePurity) on the right side. (distance to highways in m, calculated from open data Jalisco; elevation above sea level in m; tree cover measured per plot; mean annual temperature, obtained from Worldclim data; slope of the transect measured in %; distance to paved roads in m, calculated from open data Jalisco; mean annual precipitation sum, obtained from Worldclim data; soil compaction, measured in kg/m²; grazing intensity estimated as an index from 0/none to 5/severe; leaf litter cover measured in percent of the plot area; stone cover measured in percent of the plot area; leaf litter depth in cm measured in the field; fire intensity estimated as an index from 0/none to 5/severe).
Figure S2
Data type: png image
Explanation note: Relation of the relative abundance of alien species with the most important variables. Partial dependence plot for the annual mean temperature.
Figure S3
Data type: png image
Explanation note: Relation of the relative abundance of alien species with the most important variables. Partial dependence plot for elevation.
Figure S4
Data type: png image
Explanation note: Relation of the relative abundance of alien species with the most important variables. Partial dependence plot for leaf litter depth.
Table S1
Data type: excel table
Explanation note: Mean values of the environmental variables per transect.
Table S2
Data type: excel table
Explanation note: Alien herbaceous species registered in the study area.