INTRODUCTION
For centuries, viticulture in the Mediterranean Basin was a friendly-biodiversity practice and vineyards were part of a heterogeneous and multifunctional landscape mosaic of various crops, including low-input grasslands and orchards. However, the increasing valuation of the wine sector and the availability of herbicides and improved machinery turn the typical Mediterranean vineyards in highly-labored lands to accomplish bare soil under vines and in the inter-rows (Paiola et al., 2020). This radical simplification of the ecosystem avoids the competition of the spontaneous flora for resources, their possible allelopathic effects and their contribution to the provision of pest habitats. In this perspective, these adventitious species of vineyards are considered weedy flora, as their occurrence and density are detrimental and cause economic losses. However, the reduced floral biodiversity, obtained through continued use of herbicides and high tillage frequency, has negative consequences on the terroir, as it modifies the local flora composition towards resistant perennial weedy species, and conveys wildlife declines, including the auxiliary fauna (Altieri & Nicholls, 2002). Additionally, the soil experiences nutrient runoff and detrimental thermal and water regimes which impair the productivity and quality of the grapes. The benefits of the spontaneous flora to the terroir and the provision of Ecosystem services, i.e. goods and services for human well-being and society, were not taken into account in these monotypic landscapes (Döring et al., 2022). Nevertheless, the last decades have been promising in finding balance in soil management and the coexistence of vines with other plants, supporting fauna and microbiota, and increasing awareness of their benefits for agroecosystems. The use of no-tillage production management systems has gained ecological, economic and social dimensions, as agri-environmental schemes are central strategic axes of the recent reform of the Common Agriculture Policy (CAP 2023). One of the CAP 2023-27 key objectives is to “contribute to the protection of biodiversity, enhance ecosystem services and preserve habitats and landscapes”, which in practice refers to halting and reversing biodiversity loss in agricultural landscapes (EU, 2019).
In this scope, there are several methods to assess the differences in plant biodiversity with diverse production management systems, including taxonomic and diversity indices, and the indirect comparison of the effects of cover crops in relation to bare soil or to the traditional use of herbicide and mechanical weeding or increased diversity of other communities such as pollinators (e.g. Altieri & Nicholls, 2002; Monteiro & Lopes, 2007; Hall et al., 2020; Recasens et al., 2023). However, the use of indicators for the intrinsic value of spontaneous (or weedy) flora is still understudied, as well as the best ways to manage them (but see Garcia et al., 2018).
This study presents a framework using a new indicator of the value of flora for ES, (VIFLORES - VIneyard FLORa Value for Ecosystem Services), the phenological stage and abundance to evaluate the value of spontaneous flora of vineyards for ecosystem services provision.
MATERIALS AND METHODS
Study area, and sampling
To test VIFLORES approach and compare the value of vineyards for non-marketed services, we used three vineyards in Alentejo, South of Portugal. Case studies were vineyards with different production management systems selected in Alentejo wine region: Conventional, CPS (38°31'50.68"N; 7°53'52.33"W, Monte da Serralheira, 7 ha), Optidose integrated production, IPS (38°33'26.03"N; 7°51'40.67"W, Monte de Pinheiros, 10.5 ha), and Organic production, OPS (38°32'56.08"N; 7°51'19.88"W, Monte de Pinheiros, 4.5 ha). The vineyards were close to each other, thus having a similar Mediterranean climate with 600 mm of average annual rainfall and 16.5ºC of average annual temperature. Grapevines of the red variety ‘Trincadeira’ were spaced 2.5 m between rows and 1.0(1.2) m within rows, trained on a vertical shoot positioning system and spur-pruned on a Royat Cordon system. CPS vineyard was characterised by tillage and chemical application in rows and mowing in inter-rows. IPS had herbicide-sprayed rows, frequent mowing in rows and inter-rows (and occasional tillage). OPS used inter-row seeding every 3-4 years and resourced to mowing in rows and inter-rows. For more details consult Pires (2022).
Sampling
Fieldwork was carried out in April 2021 in sixty-four plots of 3x2 m2 per production management system. Weed soil cover percentage was estimated visually for each species. Data on the species' phenological stage was also collected using a simple scale of five categories (1 - seedling; 2 - plants in rosette or tillering; 3 - mature plants; 4 - flowering; 5 - fructification). It was common to observe different phenological stages of individuals of the same species, and this was also noted (e.g. 4/5).
Index development, calculation and analysis
The more frequent and abundant species were evaluated for their contribution to three categories of Ecosystem Services (ES) and 13 subcategories: 1) Provision (n=5 subcategories), 2) Regulation and Maintenance (n= 5) and 3) Cultural Services (n=3) (Table 1). This information is converted in the index VIneyard FLORa Value for Ecosystem Services, a numerical value calculated for each species, ranging from 0 (null contribution) to 1 (maximum), according to the following formula:
VIFLORESi = (ES Provision i)/5+(ES Regulation i)/5+(ES Cultural i)/3 3 ; where i is a plant species
We used a bubble graph, where dot size expresses the VIFLORES value of each spontaneous flora species. The x-axis presents the average cover of the species in all plots and the y-axis shows the dominant phenological stage(s).
Data treatment
The specific richness (S =number of species in each quadrat), Shannon-Wiener diversity index [H'=Σ pi x ln (pi)] and Simpson's dominance [1-D; in which D= Σ pi 2] were calculated for each management production system. One-way ANOVA was performed for each production system in rows and inter-rows, followed by multiple comparisons of the treatment effects with Tukey’s HSD-test (p < 0.05). The U Mann-Whitney rank sum test was used when the assumptions of the ANOVA were not met. This analysis allowed us to relate the floristic diversity values of flora within the VIFLORES framework.
RESULTS AND DISCUSSION
Forty-six taxa from 15 families were identified in rows and inter-rows of the studied vineyards. The most represented families were Asteraceae (12 taxa), Poaceae (10) and Fabaceae (7), in agreement with what was found by Hall et al. (2020) in a broad study of European vineyards. Vineyards in Optidose integrated production, IPS host more plant species (n=41), followed by Organic (OPS; n=37) and Conventional production, CPS (n=31). CPS inter-rows showed a significantly lower richness and diversity, and higher dominance in relation to OPS and IPS. Dominance values of CPS were mainly due to the high abundance of Coleostephus myconis (L.) Rchb.f. and Cynodon dactylon (L.) Pers., the latter promoted by tillage that divides and disperses rhizomes and stolons of the species (Recassens et al., 2023). Nevertheless, the IPS rows had the lowest richness and diversity compared to the other production systems, likely due to high management intensity practices, including the use of herbicides (Guerra et al., 2022). The integration of the indicator VIFLORES, vegetation cover and phenological status, allows us to visualize the services and disservices of the spontaneous vegetation of the vineyards (Figure 1). It can also give insights into management decisions. Figure 1 shows two examples: CPS rows are dominated by species with low VIFLORES, while OPS rows are dominated by Trifolium fragiferum L. and Lolium rigidum Gaudin, which can be related to mowing that promotes more diverse vegetation cover and the decline of annual broad-leaved species like Geraniaceae (e.g, Erodium sp.) (Monteiro & Lopes, 2007).
CONCLUSIONS
VIFLORES framework can be used as an indicator of the goods and benefits of spontaneous flora of vineyards and calls attention to the occurrence of competing species with low benefits for the vineyard and human well-being, usually referred to as weeds. However, this indicator needs improvements on several dimensions: i) ES subcategories weights (e.g. valuing more pest regulation than seed dispersal), ii) inclusion of vegetation dynamics throughout the year, iii) guidance on management decisions (e.g. decision on mowing or inter-row seeding).