Abstract
Introduction:
The Mediterranean is the European region with the lowest woody cover and the highest level of habitat degradation, being highly susceptible to climate change effects and desertification risk. In such worrying conditions, increasing woody cover and restoring forests is a major goal established in several international commitments. However, recruitment limitation of woody species is rather frequent both within natural regeneration processes and active restoration programs, particularly due to drought, overgrazing, and a lack of post-planting tending operations. Therefore, finding suitable tools to improve the recruitment success of native woody species is of crucial importance.
Methods:
We assessed woody natural regeneration under abandoned prickly pear orchards, olive trees, and nearby open areas in three sites under high desertification risk in central Sicily (Italy). Then, we tested for differences in density, richness, diversity, height, and basal diameter of the woody recruiting species between these three habitats.
Results and discussion:
Natural regeneration was widespread under prickly pear, with 94.6% of the sampled plots showing at least one recruit, in comparison to 61.6% of plots under olive and 22.3% in open areas. Natural regeneration density under prickly pears (114 ± 99 individuals m−2) was significantly higher (p < 0.001) than under olive trees (60.4 ± 76.4) and open areas (4.6 ± 9.3). Recruits’ diversity, basal diameter, and height were also significantly higher under prickly pear, concentrating 94.4% of the individuals higher than 100 cm and all late successional species. Our results indicate a great potential for prickly pears to accelerate the natural regeneration of Mediterranean woody species in areas under desertification. However, a site-specific evaluation must be made taking into account prickly pear’s historical presence, temporary income as a crop, management capacity and, especially, its invasive potential.
Introduction
Large areas in the Mediterranean have been historically deprived of the original woody cover, reducing biodiversity and exposing bare lands to increasing soil erosion and desertification risk (; ). On the one hand, such degradation processes are bound to increase in the next decades as a consequence of human population growth as well as land use and climate change (; ). On the other hand, the progressive abandonment of agricultural lands and the reduced pressure on woodlands in the Mediterranean could progressively provide the opportunity to restore native vegetation and correlated ecosystem services in increasingly larger areas (; ; ). However, recruitment limitation is often a huge barrier to forest restoration, particularly in areas under desertification threat, and is caused by several factors (; ). Seed limitation is a first bottleneck that can depend on the lack of mother plants (source limitation), seed dispersers, and/or their interactions (; ). Even when seed limitation is overcome, the high mortality of planted or naturally regenerating seedlings and saplings seems to be more the rule than the exception in the Mediterranean (; ; ). Drought and herbivory have been found to be the main factors causing such limitations; consequently, plant–plant facilitation (e.g., nurse plants, biogroups) may become essential for ecological restoration of degraded and/or harsh environments (; ; ; ). This occurs, for instance, in xeric mountain areas, where shrub and tree species were found growing clustered together and around a main and larger species in biogroups (). Hence, these plant ensembles may allow the progressive spread of woody vegetation into open areas where single woody species are unable to establish and persist. Many studies have investigated plant–plant facilitation in the Mediterranean, although the balance between positive and negative effects is still not straightforward to predict due to largely species-specific and context-dependent outcomes, particularly in drought-prone ecosystems (; ; ). For example, the facilitative effect of native shrubs can be reduced as aridity increases due to competition (), or nurse plant functional traits or growth form (e.g., shrub or tree) may generate contrasting effects, either positive or negative, along plant ontogeny (; ). However, a critical issue is that if several degraded areas are totally deprived of any woody cover, then the ad-hoc implementation of nurse plants becomes the only chance. Such strategy, in turn, implies careful planning and crucial post-planting tending operations, which are not always carried out due to economic reasons, often undermining the efficacy of restoration interventions (; ; ). In several cases, non-native plant species are faster-growing or more stress-tolerant than natives, making them more appealing to be used for ecological restoration (; ; ). On the one hand, such exotic species may become invasive and seriously threaten native species and habitats, thus leading to expensive control and eradication programs (). On the other hand, even invasive species may be useful for restoration or conservation purposes under some circumstances, therefore generating a conservation trade-off and calling for a better understanding of their functional role in ecosystem dynamics and plant community assembly (; ; ). Although the risk of a generalized and uncritical approach to non-native species still exists, there is increasing consensus in the scientific community on the need for evidence-based assessment of alien species’ invasiveness and related harmful impacts (e.g., ). In this research, we assessed the possible role of prickly pear [Opuntia ficus-indica (L.) Mill.] as a tool for forest restoration in Mediterranean areas. The prickly pear is a cactus species native to Mexico but cultivated over 1 million hectares in the Mediterranean basin, mainly due to its edible fruits but also for livestock fodder and fencing (). In Europe, Italy plays a leading role in prickly pear cultivation, hosting 8,614 hectares of plantations, mostly of spineless varieties located in Sicily, producing up to 87,000 tons a year, more than 12% of the world production (; ). Due to their extreme capacity to thrive in harsh and dry conditions and ease of reproduction, opuntias, particularly the spinier species Opuntia maxima Mill. and O. stricta (Haw.) Haw., have also become strongly invasive in some Mediterranean regions, particularly in small islands, rocky habitats, and cliffs (; ; ; ). In turn, positive effects of prickly pear on different ecosystem services such as soil protection, nutrient cycling, carbon sequestration, and refuge to native grasses, forbs, and argan trees have also been reported (; ; ; ; ). Additionally, prickly pear is being used as a restoration tool in large-scale projects in Africa (), and its cultivation contributes to sustaining the agricultural socio-economical tissues in many arid areas, therefore representing a typical conservation trade-off (; ). Despite this growing wealth of knowledge, the potential facilitative effects of prickly pear on the natural regeneration of Mediterranean woody species are still unknown. To fill this gap, we aimed to quantify the density, richness, and size of the woody species recruiting underneath prickly pear individuals in comparison with olive trees and nearby abandoned open areas. We hypothesized that, due to its functional and structural characteristics (CAM metabolism, low water requirements, moderate shading effect, and protection against herbivores), prickly pear will significantly facilitate the recruitment of a wide range of native woody species and allow their full establishment beyond the sapling stage.
Materials and methods
Study sites
Field surveys were carried out in three study sites in Sicily (Italy), all classified at a critical risk of desertification (; Figure 1; Supplementary Table S1). The first prickly pear orchard (PPR) is localized in Roccapalumba (Palermo province), whose landscape is dominated by clay soils and cultivated lands, especially annual crops, olive, and prickly pear orchards. The study site falls within the upper meso-Mediterranean upper dry bioclimatic belt (), at an altitude of 500 m a.s.l., on slopes less than 20%. Mean annual precipitation is 561 mm, mean annual temperature is 15.7°C, and soils are classified as Typic pelloxererts (). The second prickly pear orchard (PPSP) is localized in Santo Pietro (Catania province), in hilly areas of south-eastern Sicily, dominated by sandy soils and covered by cultivated areas, including annual crops, vineyards, pasturelands, and hardwood forests and shrublands. The study site falls within the upper thermo-Mediterranean with a lower sub-humid bioclimate (), at an altitude of 262 m a.s.l., on slopes less than 10%. Mean annual precipitation is 690 mm, mean annual temperature is 17.0°C, and the soils are Typic xerochrepts (). The third prickly pear orchard (PPC) is localized in Caltagirone (Catania province), in inner hilly areas dominated by clay soils and cultivated lands, subject to an upper thermo-Mediterranean lower sub-humid bioclimate (), at an altitude of 427 m a.s.l., on slopes less than 10%. Mean annual precipitation in this area is 690 mm, mean annual temperature is 17.0°C and the soils are Typic xerochrepts (). All the surveyed prickly pear orchards were planted approximately 30 years ago. Most of the surface of the PPR and PPC orchards is currently managed, with the natural regeneration controlled through mowing; however, from 2005 onwards, local farmers have been leaving some rows unmanaged that were selected for sampling. PPSP orchard was totally abandoned after 2005, although it is currently accessed by horses, sheep, and cattle. The PPSP falls within the Site of Community Importance “Bosco di Santo Pietro” (ITA 070005), which hosts some of the most significant cork oak stands in Sicily.
Figure 1
Sampling design
Regeneration assessment
In spring 2021, within each of the three prickly pear orchards, we established 50 rectangular plots (3 × 2 m) around the trunk of prickly pear plants, for a total of 150 plots (Figure 1). Prickly pear trunks represented the center of the plots, with the longer axis established along the row and the smaller axis directed to the inter-row. To reduce spatial autocorrelation, a plot was separated by two individuals (i.e., considering only the individuals n. 1, n. 4, n. 7, etc.), and 10 individuals in each row were surveyed, with a minimum distance of three rows (i.e., considering only the rows n. 1, n. 4, n. 7, etc.; Figure 1).
Natural regeneration under olives and in open areas
To allow for comparisons with prickly pears, we established the same rectangular plots (3 × 2 m) around the trunk of 120 randomly selected olive individuals (Olea europaea) distributed in one abandoned orchard nearby PPC (N = 40) and two abandoned orchards nearby PPSP (N = 40 each), with all olives located from 130 to 550 m from the respective prickly pear orchards. The higher number of plots in PPSP was to compensate for the sampling effort once we did not find abandoned olive orchards in the surroundings of PPR. As a control, we also randomly established the same rectangular plots at open areas nearby (±3 m) for each olive tree in each abandoned olive orchard (N = 50 in PPC and N = 100 in PPSP) and in an abandoned field on the side of the PPR orchard (N = 50), with a minimum distance of 5 m among plots (Figure 1). Once PPSP was totally abandoned (i.e., no inter-row management as in PPC and PPR), we also established 50 plots in the prickly pear inter-rows, complementing the sampling in open areas. We checked that these open areas were neither managed (i.e., mowing and tilling) nor burned at least in the last 15 years, based on interviews with the landowners, field observations, and the analysis of satellite images (Google Earth Pro®). At each plot, we counted and identified all woody individuals higher than 10 cm, shrub and tree individuals while height and basal diameter were measured only for shrub and tree individuals exceeding 1 m in height. The second edition of Flora d’Italia (
Characteristics of the nearest forests
Since we were mostly interested in evaluating the facilitation effect of prickly pear to promote forest restoration, we recorded the presence of the nearest patches of native forests as a reliable proxy of the potential seed source for colonization through seed dispersal. Natural forests were searched within a 2-km radius area around each study site, considering a minimum forest area of 5,000 m2. We obtained the forest cover and type from the most recent regional forestry inventory (
Statistical analysis
In order to check whether our sampling was representative of the overall natural regeneration richness, we first performed rarefaction tests for each habitat in each study site with the specaccum function and 100 permutations within the vegan package (Supplementary Figure S1). To test for differences in richness, density (number of plants per 100 m2), height, and basal diameter of natural regeneration underneath prickly pear, olive trees, and in open areas, we used generalized linear models (GLM). First, we ran two global models pooling the data from the three sites to account for the potential natural variability across sites. In the first model, we included all species found in the survey (lianas, small shrubs, shrubs, and trees), whereas in the second, we included only the shrub and tree species. Then, to check for local scale differences, we ran separate models for each site, again one model with all species and a second with shrubs and trees. For richness analysis, we used a Poisson distribution with log link, and for density, height, and basal diameter, we used a negative binomial distribution once these data showed a non-normal distribution (Shapiro–Wilk p < 0.05), resulting in high overdispersion in the Poisson and quasi-Poisson models. All analyses were performed with R v4.2.1 (
Results
Density and species richness of woody natural regeneration
Overall, 1,516 individuals from 25 different woody species were recorded in the sampling plots, with an average density of 53.7 individuals per 100 m−2 (Table 1). The rarefaction analysis indicated that our sampling effort can be considered satisfactory to represent the plant community of recruits at our sites (Supplementary Figure S1). Colonization under prickly pear was widespread, with 94.6% of the plots containing at least one recruiting individual, while this percentage dropped to 61.6% under olives and to 22.3% in open areas. Average natural regeneration density under prickly pear was almost double that under olive trees (114 ± 99 × 100 m−2 vs. 60.4 ± 76.4, respectively) and almost 30 times higher than in open areas (4.6 ± 9.3), with GLM indicating significant differences both considering all plant species and only shrubs and trees (Tables 2, 3; Figure 2). In turn, density and richness were higher under olives than in open areas. Prickly pear’s highest woody species density and richness were confirmed by the separated GLM models, indicating significantly higher values in all intra-site comparisons (Tables 2, 3; Figure 2).
Table 1
| Family | Species | Plant habit | Main seed dispersal vector* | RA | Density (N × 100−2) | Relative abundance (%) | ||||
|---|---|---|---|---|---|---|---|---|---|---|
| Open | Olive | Prickly pear | Open | Olive | Prickly pear | |||||
| Ulmaceae | Celtis australis L.* | Tree | Birds | 0.07 | 16.7 | 0.1 | ||||
| Ericaceae | Erica arborea L. | Shrub | Auto | 0.07 | 16.7 | 0.2 | ||||
| Lauraceae | Laurus nobilis L.* | Tree | Birds | 0.07 | 16.7 | 0.1 | ||||
| Leguminosae | Robinia pseudoacacia L.* | Tree | Wind | 0.07 | 16.7 | 0.1 | ||||
| Oleaceae | Fraxinus angustifolia Vahl* | Tree | Wind | 0.13 | 16.7 | 16.7 | 1.8 | 0.1 | ||
| Pinaceae | Pinus halepensis Mill. | Tree | Auto | 0.13 | 16.7 | 0.5 | ||||
| Fagaceae | Quercus ilex L. | Tree | Birds | 0.13 | 16.7 | 0.2 | ||||
| Leguminosae | Cytisus infestus (C.Presl) Guss. | Shrub | Auto | 0.20 | 16.7 | 5.5 | ||||
| Fabaceae | Ceratonia siliqua L. | Tree | Mammals | 0.20 | 16.7 | 16.7 | 0.2 | 0.2 | ||
| Cistaceae | Cistus creticus L. | Small shrub | Auto | 0.20 | 50.0 | 0.7 | ||||
| Thymelaeaceae | Daphne gnidium L. | Small shrub | Birds | 0.40 | 25.0 | 1.4 | ||||
| Ephedraceae | Ephedra fragilis Desf.* | Shrub | Birds | 0.40 | 16.7 | 0.6 | ||||
| Leguminosae | Ononis natrix L. subsp. ramosissima (Desf.) Batt. | Small shrub | Auto | 0.40 | 16.7 | 1.4 | ||||
| Thymelaeaceae | Thymelaea hirsuta (L) Endl. | Small shrub | Auto | 0.40 | 33.3 | 1.4 | ||||
| Oleaceae | Phyllirea latifolia L.* | Shrub | Birds | 0.79 | 16.7 | 33.3 | 16.7 | 1.8 | 1.8 | 0.3 |
| Lamiaceae | Stachys major (L.) Bartolucci & Peruzzi | Shrub | Birds | 0.99 | 50.0 | 25.0 | 2.1 | 0.6 | ||
| Fagaceae | Quercus suber L.* | Tree | Birds | 0.99 | 16.7 | 1.5 | ||||
| Rosaceae | Rubus spp.* | Shrub | Mixed | 2.64 | 16.7 | 16.7 | 18.8 | 7.3 | 0.2 | 3.4 |
| Rosaceae | Prunus dulcis (Mill.) D.A. Webb* | Tree | Mixed | 3.50 | 16.7 | 16.7 | 5.5 | 4.9 | ||
| Fagaceae | Quercus pubescens Willd. s.l.* | Tree | Birds | 3.89 | 16.7 | 5.8 | ||||
| Lamiaceae | Thymbra capitata (L.) Cav. | Small shrub | Auto | 5.74 | 131.8 | 20.0 | ||||
| Anacardiaceae | Pistacia lentiscus L.* | Shrub | Birds | 15.50 | 23.8 | 46.7 | 34.0 | 18.2 | 29.7 | 9.4 |
| Rubiaceae | Rubia peregrina L. | Liana | Birds | 16.03 | 50.0 | 44.9 | 7.6 | 20.5 | ||
| Oleaceae | Olea europaea L. s.l.* | Tree | Birds | 18.21 | 20.0 | 33.3 | 41.7 | 43.6 | 2.8 | 23.4 |
| Liliaceae | Asparagus acutifolius L. | Liana | Birds | 28.89 | 21.4 | 50.8 | 42.8 | 16.4 | 30.1 | 29.0 |
Relative abundance and density of the woody plant species found in the study areas.
RA, overall relative abundance in ascending order. *Information from
Table 2
| Habitat | Density | Richness | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Estimate | SE | z | p | Estimate | SE | z | P | ||
| All sites | Intercept (olive) | 4.10 | 0.18 | 22.62 | <0.001 | 0.17 | 0.08 | 2.01 | 0.044 |
| Open | −2.61 | 0.23 | −11.26 | <0.001 | −1.64 | 0.17 | −9.66 | <0.001 | |
| Prickly pear | 0.63 | 0.24 | 2.60 | 0.009 | 0.92 | 0.10 | 9.43 | <0.001 | |
| Caltagirone | Intercept (olive) | −0.69 | 0.22 | −3.10 | 0.001 | −0.69 | 0.22 | −3.10 | 0.002 |
| Open | −1.14 | 0.42 | −2.72 | 0.006 | −1.14 | 0.42 | −2.72 | 0.006 | |
| Prickly pear | 1.91 | 0.24 | 8.08 | <0.001 | 1.91 | 0.24 | 8.08 | <0.001 | |
| Roccapalumba | Intercept (open) | 0.94 | 0.27 | 3.45 | <0.001 | −1.83 | 0.35 | −5.18 | <0.001 |
| Prickly pear | 2.39 | 0.38 | 6.33 | <0.001 | 2.04 | 0.38 | 5.41 | <0.001 | |
| Santo Pietro | Intercept (olive) | 4.37 | 0.20 | 21.55 | <0.001 | 0.42 | 0.09 | 4.66 | <0.001 |
| Open | −2.63 | 0.27 | −9.58 | <0.001 | −1.63 | 0.20 | −7.98 | <0.001 | |
| Prickly pear | 1.05 | 0.32 | 3.24 | 0.001 | 1.02 | 0.11 | 9.02 | <0.001 | |
Results of the generalized linear models comparing density (n × 100 m−2) and richness considering all plant species with all sites pooled and within each study site.
Table 3
| Habitat | Density | Richness | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Estimate | SE | z | p | Estimate | SE | z | p | ||
| All sites | Intercept (olive) | 3.05 | 0.21 | 14.80 | <0.001 | −0.71 | 0.13 | −5.45 | <0.001 |
| Open | −1.73 | 0.26 | −6.60 | <0.001 | −0.92 | 0.21 | −4.48 | <0.001 | |
| Prickly pear | 0.97 | 0.28 | 3.53 | <0.001 | 1.25 | 0.14 | 8.63 | <0.001 | |
| Caltagirone | Intercept (olive) | 2.55 | 0.36 | 7.08 | <0.001 | −1.29 | 0.30 | −4.28 | <0.001 |
| Open | −1.72 | 0.49 | −3.52 | <0.001 | −1.01 | 0.54 | −1.88 | 0.061 | |
| Prickly pear | 1.36 | 0.48 | 2.82 | 0.004 | 1.98 | 0.32 | 6.25 | <0.001 | |
| Roccapalumba | Intercept (open) | 0.81 | 0.32 | 2.56 | 0.0105 | −1.97 | 0.38 | −5.20 | <0.001 |
| Prickly pear | 2.02 | 0.44 | 4.61 | <0.001 | 1.74 | 0.41 | 4.23 | <0.001 | |
| Santo Pietro | Intercept (olive) | 3.23 | 0.24 | 13.60 | <0.001 | −0.51 | 0.14 | −3.54 | <0.001 |
| Open | −1.58 | 0.32 | −4.93 | <0.001 | −0.80 | 0.24 | −3.32 | <0.001 | |
| Prickly pear | 1.37 | 0.38 | 3.61 | <0.001 | 1.35 | 0.17 | 7.88 | <0.001 | |
Results of the generalized linear models comparing density (n × 100 m−2) and richness of shrub and tree species with all sites pooled and for each study site.
Figure 2

Boxplots showing the natural regeneration density and richness of all woody species (A,B) and of shrubs and trees (C,D) across open areas, under abandoned olive trees, and in prickly pear orchards in the three study sites.
Recruitment of established woody species
Out of the 1,516 woody individuals, 202 (12.9%) were shrubs and trees higher than 100 cm, belonging to 15 species, and 94.4% of them occurred under the prickly pears. Indeed, only six plots in open sites and five plots under olives hosted such recruiting individuals, which were, conversely, widely spread over 117 prickly pear plots, accounting for 1.4, 10.9, and 19.7% of all woody individuals in the three habitats, respectively. Recruits were also significantly higher and larger under prickly pear than under olives and open areas (Table 4), including 53 individuals higher than 300 cm and with basal diameters up to 39 cm (Figure 3). Such differences were also confirmed by the separated GLM models (Table 4; Figure 3).
Table 4
| Habitat | Height | Basal diameter | ||||||
|---|---|---|---|---|---|---|---|---|
| Estimate | SE | z | p | Estimate | SE | z | p | |
| Intercept (olive) | 3.70 | 0.09 | 40.51 | <0.001 | 0.79 | 0.41 | 1.90 | 0.057 |
| Open | 0.23 | 0.15 | 1.57 | 0.117 | 0.31 | 0.95 | 0.33 | 0.745 |
| Prickly pear | 1.52 | 0.11 | 13.94 | <0.001 | 1.06 | 0.42 | 2.52 | 0.012 |
Results of the generalized linear models comparing the height and basal diameter of shrub and tree species across habitats.
Figure 3

Boxplots showing the height of all shrub and tree individuals (A) and the basal diameter of individuals with a height of ≥100 cm (B) in the open areas, under abandoned olive trees, and in prickly pear orchards in the three study sites.
Natural regeneration species composition
Wild asparagus (Asparagus acutifolius L.) was the most abundant species (28.9% of all the individuals) and, together with olive (Olea europaea L. s.l., 18.2%), mastic (Pistacia lentiscus L., 15.5%), and brambles (Rubus spp., 2.6%), occurred in all three habitats (Table 1). Seventy-six individuals of three oak species, i.e., downy oak (Quercus pubescens Willd. s.l.), cork oak (Q. suber L.), and holm oak (Q. ilex L.), were observed, but only under prickly pears. Downy oak was the most abundant oak species (80.3%), occurring at relatively high densities (19 × 100 m−2) and even reaching heights up to 7.5 m and diameters of 21 cm in PPC. Olives, almonds (Prunus dulcis (Mill.) D.A. Webb), mastic and downy oaks, (Quercus pubescens) accounted for 91% of the established individuals, although only the first two occurred in all prickly pear orchards. The large majority of the recruits were from fleshy-fruited species (92.6%), indicating an active role of animal seed dispersal networks.
Characteristics of the nearest forests
Since we could not perform a statistical analysis of the influence of the nearest forest stands due to low sampling sites, we report here, and in Supplementary Table S2, a descriptive assessment. In PPC, the area with almost all oaks recruited, there were four downy oak stands with average size of 3.7 hectares, occurring 500 m away, and no wildfires were registered in these areas in the last 14 years. In PPR, there were three downy further than oak stands with average size of 8 hectares, but all of them were further than 1.5 km and had burned at least twice in the last 14 years. In PPSP, we found two Q. suber forests (average size of 10 hectares) and one large Q. ilex forest (>10 hectares), although 1.8 km distant.
Discussion
In the last century, massive reforestation projects have significantly increased woody cover in the Mediterranean, while millions of hectares of agricultural fields have been abandoned, although many of them did not evolve toward late successional stages composed of native tree species. In our study, we found that prickly pear strongly facilitated the recruitment and fostered the growth of a wide variety of Mediterranean woody species, including late successional tree species, in comparison with abandoned olive trees and open areas.
Woody species density and richness patterns
Recruits were widely distributed under prickly pear in all three study sites, with 94.6% of the 150 sampled individuals hosting at least one woody species. Olive trees also showed a high frequency of woody recruits (62%), in comparison to open areas (22%). However, virtually all fully established (≥1.0 m high) shrubs and trees were found under prickly pear. In a study comparing the natural regeneration under a native shrub [Retama sphaerocarpa (L.) Boiss.] and paired open sites along an environmental gradient in Spain, just about 10% of the 1,263 Retama shrubs had one recruit, for a total of 211 woody individuals belonging to four species (
Prickly pear contribution against recruitment limitation
The positive role of prickly pear in the ecological restoration of semi-arid ecosystems has been previously acknowledged (
The rarefaction analysis indicated that our results are representative of the plant community of recruits present at our study sites (Supplementary Figure S1). The vast majority of the woody species found in our surveys (Table 3) have fleshy fruits and rely on vertebrates, particularly mammals and especially birds, for seed dispersal (
Oak regeneration and the role of the remnant forest patches
Oak forests (dominated by Quercus spp.) represent the late successional stages in some areas of the Mediterranean basin, including the surroundings of our study sites. Since oaks are highly susceptible to recruitment limitations and are often lacking in reforestation interventions, they are frequently used as indicators in facilitation studies (
Figure 4

One mature Quercus pubescens individual (A) and one Quercus pubescens sapling growing at the PPC site (B). Abandoned olive trees and respective open areas at PPSP (C), current appearance of the abandoned prickly pear orchard at PPSP, dominated by native woody species (D), aspect of the PPR site with woody species covering the prickly pears in the unmanaged part on the left (E), one managed prickly pear orchard and nearby arable land intermingled with degraded patches that could be suitable to use prickly pear to foster native woody species colonization (F).
Conservation trade-offs for the use of prickly pear
The limited number of studies evaluating prickly pear as a restoration tool largely depends on its prevalent use as a productive crop, so unwanted plant species in prickly pear orchards are usually removed. For this reason, we did not find other suitable areas for our research, which limited the number of sampling sites. However, we clearly recognize that the major constraint that may limit the use of prickly pear as a restoration tool is its invasive potential in the Mediterranean, where it represents a serious ecological threat, particularly for chasmophytic vegetation in rocky habitats (
Statements
Data availability statement
The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author.
Author contributions
RB: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Validation, Visualization, Writing – original draft, Writing – review & editing. EB: Data curation, Investigation, Methodology, Writing – original draft, Writing – review & editing. GS: Investigation, Methodology, Writing – review & editing. TM: Conceptualization, Funding acquisition, Investigation, Methodology, Project administration, Supervision, Writing – review & editing.
Funding
This work has received funding from the European Union-NextGenerationEU through the Italian Ministry of University and Research under PNRR–PNRR MUR Missione 4 Componente 2 Investimento 1.4 “Potenziamento strutture di ricerca e creazione di “Campioni Nazionali di R&S” Centro Nazionale della Biodiversità (National Biodiversity Future Center, NBFC – 2022-2026), Spoke 7. The views and opinions expressed are those of the authors only and do not necessarily reflect those of the European Union or the European Commission. Neither the European Union nor the European Commission can be held responsible for them. The research was also partially funded by the Life Project “Desert-Adapt” LIFE16 CCA/IT/000011.
Acknowledgments
We thank the prickly pear farmers, Michele Russo and Andrea Cairone, for their contribution to the conceptual framework, fieldwork support, and precious information on prickly pear cultivation and natural history. We also thank Salvatore Pasta for the comments on the article and the two reviewers for the constructive suggestions that improved the article.
In memoriam
One of the authors (Tommaso La Mantia) dedicates this article to his friend Enza Chessa, who studied prickly pear throughout her life.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Supplementary material
The Supplementary material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/ffgc.2024.1343069/full#supplementary-material
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Summary
Keywords
desertification, ecological restoration, Mediterranean forests, oak, plant–plant facilitation, recruitment limitation, seed dispersal, Quercus
Citation
Bueno RS, Badalamenti E, Sala G and La Mantia T (2024) A crop for a forest: Opuntia ficus-indica as a tool for the restoration of Mediterranean forests in areas at desertification risk. Front. For. Glob. Change 7:1343069. doi: 10.3389/ffgc.2024.1343069
Received
22 November 2023
Accepted
08 January 2024
Published
25 January 2024
Volume
7 - 2024
Edited by
Arun Jyoti Nath, Assam University, India
Reviewed by
Kevin Cianfaglione, Lille Catholic University, France
Sergio Espinoza, Catholic University of the Maule, Chile
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© 2024 Bueno, Badalamenti, Sala and La Mantia.
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*Correspondence: Emilio Badalamenti, emilio.badalamenti@unipa.it
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