High Nature Value Farmland Research Articles

Socio-Economic Viability of the High Nature Value Farmland under the CAP 2023–2027: The Case of a Sub-Mediterranean Region in Slovenia

Socio-Economic Viability of the High Nature Value Farmland under the CAP 2023–2027: The Case of a Sub-Mediterranean Region in Slovenia

The German insect monitoring scheme: Establishment of a nationwide long-term recording of arthropods

A standardised monitoring is indispensable to identify trends of insect populations. However, until recently, a systematic monitoring of insects in Germany was missing. Therefore, the German federal ministry for the environment funded the conceptualisation of an insect monitoring scheme.Here, we inform about the general concept and structure of the German insect monitoring scheme (GIMS) and the steps taken and still to be taken for the implementation of the scheme. A first step was the development of the objectives, general concept und structure of the GIMS in close collaboration with the nature conservation authorities at the national and federal state levels, as the latter are responsible for the implementation of nature conservation-related monitoring schemes. The GIMS is structured into two sections: section 1 ‘Monitoring of common insects’ and section 2 ‘Monitoring of rare insects’. Both sections contain modules that focus on selected aspects of insect diversity. In section 1, insect communities of the wider countryside will be monitored. Section 2 focuses on insect communities in rare habitats and species of high conservation value (e.g. threatened species). The next step was to develop standardised sampling methods for the modules in collaboration with experts and the nature conservation authorities. Wherever appropriate, synergies with other monitoring schemes were created, e.g. for combined analyses with environmental variables.Parallel to the development of the concept, several federal states have already implemented selected modules of the GIMS. Furthermore, the module ‘Grasshoppers in grasslands’ was tested during a pilot phase. By using the data from the pilot phase and the High Nature Value Farmland Monitoring scheme the relationship between high nature value farmland and grasshopper diversity was evaluated. This indicated the great potential of using synergies among monitoring schemes for joint data analyses and showed that it is worth exploring such approaches in greater depth.

Estimated distribution of high nature value forest in the Republic of Ireland

High Nature Value (HNV) farmland and forest systems play a vital role in supporting biodiversity and delivery of ecosystem services. Estimates of HNV forest area and distribution in the European Union (EU) are rarely conducted, despite having been a requirement of Rural Development Programmes. This work represents the first attempt to identify and estimate the area of HNV forest in the Republic of Ireland in a repeatable and transparent way. Relevant geo-datasets available for Ireland were collated and analysed. We investigated whether the datasets contained information on the indicators used in a recently-developed Nature Value (NV) index, and explored the potential of proxy indicators to determine the likelihood of a mapped area of forest being HNV. Based on these analyses, a likelihood map of the distribution of forest in different NV categories was produced and an accuracy assessment conducted. Results from this study suggest that HNV forest accounts for approximately 1 % of the Irish land area, or 8 % of the total forest area. Accuracy assessments indicated substantial agreement between the likelihood map classifications and the calculated NV status of National Forest Inventory plots. The methodology presented here could also be applied to existing similar datasets to estimate the extent and distribution of HNV forest in other regions. The mapped output provides a likelihood of a forest area being HNV and can provide evidence to inform the development of forest conservation policies.

Parallels of environmentally friendly pastoralism to land cover changes and high nature value farmland

The study area is part of the Biosphere Reserve (BR), which, along with adjacent caves in the Aggtelek Karst in Hungary, was inscribed on the UNESCO World Heritage List in 1995. This article focuses on the assessment of temporal changes in land cover and high nature value farmland. Changes over the past three decades were assessed in the operational areas of transtermitant farms on karst plains and in three BR zones. The results help to identify factors responsible for the progressive succession of woody plants on pastures. Karst microreliefs were excluded from pastoral activities because of the inherent nature of transtermitance, conservation measures, natural conditions, and type of farmed animal. The future preservation of valuable habitats, visually attractive karst landscape characteristics, and clean underground water in a cross-border cave system hinges on adequate grazing conditions being agreed upon by farmers and the Slovenský kras BR administration.

Fire suppression and land-use strategies drive future dynamics of an invasive plant in a fire-prone mountain area under climate change

Woody invasive alien species can have profound impacts on ecosystem processes and functions, including fire regulation, which can significantly affect landscape resilience. Acacia dealbata, a widespread invasive alien plant in the Iberian Peninsula, holds well-known fire-adaptation traits (e.g., massive soil seed banks and heat-stimulated seed germination). In this study, we assess to what extent fire suppression and land-use strategies could affect the potential distribution of A. dealbata in a fire-prone transboundary protected mountain area of Portugal and Spain, using Habitat Suitability Models. Specifically, we predicted changes in habitat suitability for A. dealbata between years 2010 and 2050. We explored the potential impacts of two land-use strategies ('Business-as-usual' or 'High Nature Value farmlands') combined with three levels of fire suppression effectiveness using the biomod2 package in R. We also considered the potential effects of two climate change scenarios (RCP4.5 and RCP8.5). Our modeling approach demonstrated a strong capacity to predict habitat suitability using either climate or land-cover information alone (AUC climate = 0.947; AUC LC = 0.957). According to climate-based models, A. dealbata thrives under conditions characterized by higher precipitation seasonality, higher precipitation in the warmest month, and higher minimum temperature in the coldest month. Regarding land cover, A. dealbata thrives mainly in landscapes dominated by urban areas and evergreen forest plantations. Our models forecasted that habitat suitability by 2050 could either increase or decrease depending on the specific combinations of fire suppression, land-use, and climate scenarios. Thus, a combination of business-as-usual and fire-exclusion strategies would enhance habitat suitability for the species. Conversely, management promoting High Nature Value farmlands would decrease the available suitable habitat, particularly under low fire suppression efforts. These findings suggest that promoting sustainable farming activities could impede the spread of A. dealbata by reducing habitat availability, while strategies aiming at fire-exclusion could facilitate its expansion, likely by enabling establishment and large seed production. This study highlights the complex interplay between fire-prone invasive species, fire and land-use strategies, and climate change; and thus the need to consider the interactions between land-use and fire management to promote invasive species control and landscape resilience.

Synergies between biodiversity conservation and drinking water protection in an agriculture dominated landscape – Case study of the Lower Savinja Valley in Slovenia

The growing world population and global market competition are putting pressure on high-yield food production, reducing the space available for low-intensity agricultural practices that support high biodiversity. In search of synergies between different environmental policy instruments, the potential of drinking water protection zones (WPZ) for high nature value (HNV) farmland conservation and connectivity in the Lower Savinja Valley in Slovenia was examined. In drinking water protection zones, restrictions of fertilizer and pesticide use are enforced, which have demonstrated beneficial effects on biodiversity. Overall, HNV farmland covered 25.8% of the area, of which 6% was protected in almost equal proportions by Natura 2000 sites and WPZ. Zonation prioritization assigned higher average scores to cells in WPZ compared to Natura sites and unprotected areas indicating high value of WPZ for HNV connectivity. The proportion of WPZ receiving the highest Zonation prioritization scores ranged from 23% to 70% depending on connectivity scale. Simulation of conversion of arable to HNV farmland on WPZ added 58.2 ha, and increased overall HNV farmland cover in the Lower Savinja Valley from 25.8% to 26.3%, further reinforcing the importance of WPZ for connectivity. Drinking water protection zones under different levels of protection cover approximately 20% of the territory of Slovenia. Given their large extent, we suggest that when planning for HNV farmland conservation and ecological networks within intensive agriculture dominated landscapes, WPZ should be evaluated for their potential and integrated into planning. Analysis focused on the spatial configuration of HNV farmland but lacked information on habitat quality, species presence and management practices in WPZ. Further studies of the effect of WPZ management restrictions on biodiversity are needed.

Optimizing Wildfire Prevention through the Integration of Prescribed Burning into ‘Fire-Smart’ Land-Use Policies

Integrating fire into land management is crucial in fire-prone regions. To evaluate the effectiveness and efficiency of prescribed fire (PF), we employed the REMAINS model in NW Iberia’s Transboundary Biosphere Reserve Gerês-Xurés. We tested three levels of prescribed fire treatment effort for shrubland and grassland, employing three spatial allocation strategies: random distribution, prioritization in high-wildfire-risk zones, and creating fuel breaks by utilizing the existing road network. These approaches were assessed in isolation and in combination with three land-use scenarios: Business-as-usual (representing rural abandonment trends), High Nature Value farmland (reversing farmland abandonment), and Fire-Smart forest management (promoting fire-resistant landscapes). Our results confirm that PF is effective in reducing future wildfires (reductions up to 36%), with leverage values ranging from 0.07 to 0.45. Strategic spatial allocation, targeting wildfire-risk areas and existing road networks, is essential for maximizing prescribed fire’s efficiency (leverage effort of 0.32 and 0.45; i.e., approximately 3 ha of PF decrease subsequent wildfire by 1 ha). However, the PF treatments yield the best efficiency when integrated into land-use policies promoting ‘fire-smart’ landscapes (reaching leverage values of up to 1.78 under policies promoting ‘HNVf and ‘fire-smart’ forest conversion). These recommendations strengthen wildfire prevention and enhance landscape resilience in fire-prone regions.

Assessment of determinants of high nature value (HNV) farmland at plot scale in Western Pyrenees

The concept of High Nature Value (HNV) farming hinges on the causality between agroecosystems with low intensity of management and the corresponding environmental outcomes, including high levels of biodiversity and the presence of semi-natural habitats. Although European strategies for rural development and biodiversity conservation have long recognized the importance of HNV farmlands, many of those areas are currently threatened by intensification and land abandonment. A variety of approaches have been developed for identifying HNV areas and measuring changes in their distribution and extent at landscape scales. In contrast, quantitative approaches for evaluating differences in HNV among the most basic units of management (farms and farm plots) are scarce and almost exclusively based on biodiversity indicators. This gap limits our ability to derive existing gradients of HNV at fine scale and the underlying cause conducive to HNV. Hence, we implemented an index to capture multiple facets of HNV based on expert knowledge criteria and field surveys performed at the finest scale of management (plot). First, we computed this index for hundreds of grasslands located across the Western Pyrenees. Then, we analysed the relationship between the nature value of plots and environmental, management and socio-economic variables. Our results evidence a gradient between low diversity and intensively used agricultural plots and HNV grasslands in the Western Pyrenees. Highest nature values were significantly related to the occurrence of plots in meadows located in steep areas within the Natura 2000 network, whereas lowest values were related to recently opened areas and the number of treatments per year. Importantly, this index, which could be adapted to other farming areas, provides quantitative information to support the implementation of result-based schemes, including eco-schemes and agri-environment-climate interventions of the new CAP (2023–2027).

Trends in High Nature Value Farmland and Ecosystem Services Valuation: A Bibliometric Review

High Nature Value farmland (HNVf) represents a rural landscape characterized by extensive farming practices. These lands not only deliver vital ecosystem services (ES) but also serve as significant harbors of biodiversity, underscoring their critical conservation status. Consequently, European Union countries have prioritized the identification, monitoring, and enhancement of HNVf systems in their policies. As governments and international organizations increasingly lean on green subsidies to promote sustainable environmental practices, the valuation of ecosystem services (VES) emerges as a crucial tool. This valuation offers both an economic rationale for conservation and aids in determining the optimal allocation of these subsidies for maximum environmental and economic return on investment. Given the potential for such valuations to shape and justify conservation subsidies, there is a growing imperative to understand the research trends and knowledge gaps in this realm. This article, through a bibliometric review, seeks to illuminate the size, growth trajectory, and thematic tendencies within HNVf and VES literature. Bibliometric analysis is recognized as promising in identifying research trends; thus, this article consists of a bibliometric review of HNVf and VES research. The objective is to identify the size, growth trajectory, and geographic distribution of HNVf and VES literature between the first publication until 2022, while assessing the critical publishing journals, authors, documents, and conceptual structure of the research fields (e.g., economic, social, and environmental). The analysis revealed a predominant concentration of research on HNVf in Europe, with limited studies conducted outside this continent. The primary focus of these studies revolved around subject areas such as environmental science, agriculture, and biological sciences. Conversely, regarding research on VES, there was no clear regional concentration. VES research publications mainly covered the interdisciplinary fields of economics, biology, and policymaking. As the fields of HNVf and VES have evolved, it is evident that there has been a stronger push towards data-driven approaches, emphasizing the need for tangible assessments and precise understanding. In examining the overlap between topics, the analysis revealed a gap between methodologies for HNVf monitoring and conservation and VES, highlighting the need for further development in crafting an integrated approach encompassing both areas.

Will farmers cooperate to conserve biodiversity? The use of collective bonus in the High Nature Value farmland in Slovenia

Nature conservation in farmland is often based on the wide adoption of suitable farming practices, which are effectively coordinated at the landscape level. However, more advanced policy approaches to spatial coordination often require cooperation between farmers. We use quantitative analysis of 521 surveyed farmers and qualitative thematic analysis of 123 interviews in Natura 2000 sites Haloze and Kras in Slovenia to explore farmers' preferences towards a collective bonus, which could stimulate higher adoption of grassland conservation schemes. Abandonment of farming, low interest in agri-environmental schemes and changes in social relations (individualisation of farming and distrust among actors) were identified as critical barriers to farmer cooperation in the context of agri-environmental policy.

Mapping agrobiodiversity in Europe: Different indicators, different priority areas

Agriculture plays a dual role in the conservation of European biodiversity, as extensive agricultural lands provide habitats for more than half of Europe's species, but intensification and abandonment of farmland threaten these species' habitats. Consequently, the preservation of agrobiodiversity, i.e., biodiversity on agricultural land, is increasingly the focus of conservation strategies. Agrobiodiversity is a complex and multi-dimensional concept, which begets that there currently is no consistent definition, measurement framework, or high-resolution spatial indicator that covers all facets of agrobiodiversity (genetic, species, and ecosystem). Furthermore, existing indicators have not been compared in terms of the areas the indicators identify as having high agrobiodiversity value. The objective of this study was, therefore, to compare four agrobiodiversity indicators, representing species and ecosystem levels of agrobiodiversity, by mapping them on extensive agricultural land in Europe and comparing them with the High Nature Value Farmland (HNVF) map. We mapped hotspots for each indicator and performed a pairwise Fuzzy Numerical map comparison. The findings show only moderate spatial similarity between indicators, where similarities mainly reflect correspondence in coldspot areas as well as low hotspot agreement with the well-established HNVF map. The results further indicate correspondence between hotspots for all indicators and HNVF on less than 1,500 km2 (or less than 0.005% of extensive European farmland). The indicators' sensitivity to land-use change scenarios was also evaluated, revealing up to ± 50% difference in scenario response, depending on the chosen indicator, which could lead to inconsistent scenario outcomes. The results of this novel study highlight the importance of clearly defining agrobiodiversity before mapping and selecting an indicator for measuring it, especially if such analysis intends to identify priority areas for policy targeting.

New Technique for Monitoring High Nature Value Farmland (HNVF) in Basilicata

The definition of High Nature Value Farmland Areas (HNVF) was provided by Andersen in 2003: “HNVF comprises those areas in Europe where agriculture is the major (usually the dominant) land use and where that agriculture supports or is associated with either a high species and habitat diversity, or the presence of species of European conservation concern or both”. The present work focuses on an overview of the techniques used to produce HNVF maps at different spatio-temporal resolutions. The proposed approach is based on the statistical approach. The study area is the Basilicata region (southern Italy) in 2012, mapped at municipal spatial resolution. The HNVF areas were identified by applying a threshold to the sum of the contributions of the main characterizing indicators. Three indicators contribute to the calculation of the HNVF areas: crop variability (CD Index), extensive practices (EP Index), and the presence of natural elements (Index Ne). Good agreement was found between our HNVF map and the results of the literature, although the analysis approaches were different. The main advantages of the proposed methodology derive from only free input data being used, and include remote sensing images and the adaptability to different spatial resolutions (local, regional, and national).

The development and potential application of a land use monitoring programme for high nature value farmland and forest quality and quantity in the Republic of Ireland

Conserving natural resources and halting biodiversity loss are key environmental objectives of the European Union. High Nature Value farmland and forest (HNVFF) areas are associated with high biodiversity and other public goods. Currently, there are few dedicated HNV farmland and no HNV forest quality and quantity monitoring systems implemented in Europe, and none are in use in the Republic of Ireland. This study presents a conceptual framework to monitor quality, quantity, and change of HNVFF areas in the Republic of Ireland. The methods were tested using a set of monad sampling cells distributed across a range of representative landscapes. High resolution sampling cell habitat cover maps were developed using a national spatial database and recent orthoimagery, and a subsequent revision of the cell maps was performed using historical orthoimagery. This enabled a simulation of a 13-year monitoring cycle to compare trends in HNV farmland and forest quality, quantity, connectivity, and habitat categorical change. A contrasting trend of decreasing HNV farmland and increasing HNV forest quantity was observed over the monitoring period.Categorical habitat change detection identified a range of HNV habitat loss and gain, driven predominantly by land use intensification, but also by ecological succession and technogenic pressures. To upscale the monitoring to national scale, a sampling strategy using a recent landscape classification is proposed. The national monitoring approach aims to meet the needs of evolving policy requirements. This provides a useful example for countries seeking to establish their HNVFF and other land cover monitoring systems.

The Role of High Nature Value Farmland for Landscape and Soil Pollution Assessment in a Coastal Delta in China Based on High-Resolution Indicators

High nature value farmland (HNVf) plays an important role in improving biodiversity and landscape heterogeneity, and it is effective in curbing soil non-point source pollution and carbon loss in sustainable eco-agricultural systems. To this end, we developed high-resolution (2 m × 2 m) indicators for the identification of potential HNVf based on GF1B remote sensing imaging, including the land cover (LC), normalized difference vegetation index (NDVI), Shannon diversity (SH), and Simpsons index (SI). The statistical results for LC with high resolution (2 m × 2 m) showed that there was 41.05% of intensive farmland in the study area, and the pixel proportion of the HNVf map (above G3) was 44.30%. These HNVf patches were concentrated in the transition zone around the edge of the intensive farmland and around rivers, with characteristics of HNVf type 2 being significantly reflected. Among the real-life areas from Map World, elements (i.e., linear forests, rivers, and semi-natural vegetation etc.) of HNVf accounted for more than 70% of these regions, while a field survey based on potential HNVf patches also exhibited significant HNVf characteristics in comparison with intensive farmlands. In addition, from 2002 to 2020, the total migration distance of the gravity center of intensive farmland in the study area was 7.65 km. Moreover, four landscape indices (patch COH index, landscape division index, SH, and SI) slowly increased, indicating that the species richness and biodiversity were improved. It was also found that a series of ecological protection policies provide effective guarantees for an improvement in species diversity and the development of HNVf in the study area. In particular, the average contents of As, Cr, Cu, Ni, and Zn in the HNVf were 20.99 mg kg−1, 121.11 mg kg−1, 21.97 mg kg−1, 29.34 mg kg−1, and 41.68 mg kg−1, respectively, which were lower in comparison with the intensive farmland soil. This is the first HNVf exploration for landscape and soil pollution assessment in a coastal delta in China, and could provide powerful guidance for the ecological protection of farmland soil and the high-quality development of sustainable agriculture.

Incorporating fire-smartness into agricultural policies reduces suppression costs and ecosystem services damages from wildfires

In southern Europe, land abandonment and an unbalanced investment toward fire suppression instead of prevention has gradually increased wildfire risk, which calls for a paradigm change in fire management policies. Here we combined scenario analysis, fire landscape modelling, and economic tools to identify which land-use policies would reduce the expected wildfire-related losses in the Transboundary Biosphere Reserve ‘Gerês-Xurés’ (Spain-Portugal). To do so, we applied the least-cost-plus-net-value-change approach and estimated net changes in wildfire damages based on their implications for the 2010–2050 period and five ecosystem services: agriculture, pasture, timber, recreation and climate regulation. Four land-use scenarios were considered: (1) Business as Usual (BAU); (2) fire-smart, fostering more fire-resistant (less flammable) and/or fire-resilient landscapes (fire-smart); (3) High Nature Value farmlands (HNVf), wherein the abandonment of extensive agriculture is reversed; and (4) a combination of HNVf and fire-smart. HNVf is the best scenario for suppression cost savings, but it generates the lowest net present value of societal benefits from climate regulation. In fact, the most efficient scenario with the lowest societal discounted net suppression costs and change on ecosystem services damages is the HNVf + fire-smart scenario, as it also generates suppression cost savings from agricultural expansion, and lead to a significant reduction in damages on timber and recreational benefits. Therefore, reverting land abandonment through recultivation and promoting fire-resistant tree species is the most efficient way to reduce wildfire hazard. In this sense, payments for ecosystem services should reward farmers and landowners for their role in wildfire prevention. This study improves the understanding of the financial and societal benefits derived from reducing fire suppression spending and ecosystem services damage by undertaking fire-smart land-use strategies, which can be essential to enhance local stakeholders' support for Payments of Ecosystem Services policies for wildfire prevention.

Identification and Mapping of High Nature Value Farmland in the Yellow River Delta Using Landsat-8 Multispectral Data

The development of high nature value farmland (HNVf) can effectively improve the problems of biodiversity reduction, non-point source pollution and carbon loss in intensive farmland. To this end, we developed a set of general indicators based on Landsat 8 OLI imagery, including land cover (LC), normalized difference vegetation index (NDVI), Shannon diversity (SH) and Simpson’s index (SI). Combined with a Kohonen neural network (KNN), we assigned weights and developed the first potential HNVf map of the Yellow River Delta in China. The results showed that the four indicators were very effective for the expression of HNVf characteristics in the study area, and that SH and SI, in particular, could reflect the potential characteristics of HNVf at the edge of intensive farmland. LC, NDVI, SH and SI were weighted as 0.45, 0.25, 0.15 and 0.15, respectively. It was found that the potential HNVf type 2 (i.e., low-intensity agriculture, and natural and structural elements such as shrubs, woodlands and small rivers) in the study area was concentrated at the edges of intensive farmland, the transition zones from farmland to rivers and the estuary wetland areas of northern and eastern rivers. LC played a leading role in identifying HNVf. Based on six randomly selected real-world verification data from Map World, it was found that the accuracy of the validation set for HNVf type 2 was 83.33%, which exhibited the good development potential of HNVf in the study area. This is the first potential HNVf type 2 map of the Yellow River Delta in China and could provide a great deal of potential guidance for the development and protection of farmland biodiversity and regional carbon sequestration.

Importance and challenges for agriculture from High Nature Value Farmlands (HNVf) in Poland in the context of the provision of public goods under the European Green Deal

The study aims to identify and characterise the organisational and economic features of agriculture in Poland in areas (communes) with different saturation of agriculture from High Nature Value farmlands (HNVf areas) with exceptionally high natural value. It is also important to determine whether the potential changes in agriculture in communes with a particularly large share of them do not harm the natural environment and limit the possibility of providing society with public goods. The delimitation of the three scenarios of HNVf areas was designated in the country at the request of the Ministry of Agriculture and Rural Development in 2018. HNVf areas of moderate, high, and exceptionally high natural value were designated. To achieve the purpose of the study, data from the Agency for Restructuring and Modernization of Agriculture (ARMA) for 2016 and 2021 and data from the Polish Farm Accountancy Data Network (FADN) for 2018-2020 was obtained. It was established that in Poland, the share of HNVf areas currently ranges from 12.5 (exceptionally high natural value) to 27.1% (moderate-high nature value) of the total UAA. Compared to other areas, HNVf areas with exceptionally high natural value are characterised by agriculture with a high level of extensive production. Farms from these areas obtain, e.g. lower total costs incurred per 1 ha of UAA, often lower productivity of production factors and lower income per 1 ha of UAA.

EU-wide mapping of ‘Protected Designations of Origin’ food products (PDOs) reveals correlations with social-ecological landscape values

The Geographical Indications (GIs) scheme is the EU’s primary policy tool for increasing the market values of geographically distinct food products. Although GIs are linked to the landscapes of food production, little is known about the social-ecological values they represent, mainly due to a lack of spatial data. In this study, we, therefore, mapped all 638 food products labeled as Protected Designations of Origin (PDOs), using NUTS-3 areas as proxies for their actual extent, and correlated their distribution with 13 social-ecological indicators. By compiling this novel dataset, we show that the presence of PDOs strongly overlaps with environmental and cultural values. We reveal positive correlations of PDO frequency with high nature value farmland, semi-natural agriculture, tourism, and cultural heritage indicators. Further, we find that PDOs occur more often in economically weaker areas with older and declining populations. Besides differences in PDO distribution between northern and southern EU countries, we find different correlation patterns across the four largest food categories. For example, cheese and meat products are less correlated to environmental values compared to oils and fats, or fruit, vegetables and cereals. On that basis, we identify the potential of PDOs to support structurally deprived areas and propose PDOs as entry points for sustainable transformation and rural development policies—while simultaneously contributing to the conservation of cultural landscapes and their associated environmental values. As outlined in the Green Deal of the European Union and its Farm to Fork strategy, PDOs should be a part of this transformation. Based on the results of this study, we discuss more specifically for which production systems and under what enabling conditions PDOs are fit for this challenge. We recommend that future governance interventions for a sustainable transformation of EU’s agriculture should take the differences across regions and product categories into account.

Seed removal decrease by invasive Argentine ants in a high Nature Value farmland

Seed dispersal by ants is an important ecological process that maintains the structure anddiversity of natural communities, however, it is vulnerable to biological invasions. Argentine ants are one of the worst invasive ant species and cause severe changes in ecosystem processes and native ant biodiversity declines in invaded sites. Here, we studied seed removal by ants combining observations and a cafeteria experiment with seeds of four myrmecochorous plant species (Centaurea sphaerocephala, Rosmarinus officinalis, Silybum marianum, and Ulex australis) in two sites (invaded and uninvaded) located in the Mediterranean Montado ecosystem and classified as High Nature Value farmland (HNV). Significant differences in daily seed removal rates were found between the two study sites. In uninvaded sites, several native ant species were attracted to the seeds, resulting in all seeds being removed rapidly. The majority of seed removal events were carried out by two key seed disperses Pheidole pallidula (71%) and Aphaenogaster iberica (26%) with a clear preference for diaspored with larger and heavier elaiosome (i.e., C. sphaerocephala, S. marianum). By contrast, while the Argentine ant showed some interest (68% of seeds were interacted with), no seed removal events were observed. The extirpation of the local ant fauna by the Argentine ant and its inability to ensure seed dispersal services may lead to the interference and eventually to the collapse of seed dispersal of the four studied myrmecochorous plants in the invaded site in the future. We argue that these discrete but severe consequences of an invasive species on a key ecological process may strongly affect the functioning of the Montado ecosystem.

Sustainable Development of Agriculture in Poland – Towards Organization and Biodiversity Improvement?

Presently, the sustainable development of agriculture is the priority for nations, organizations and generally for the world. Different aspects are considered in the issue of sustainability of agriculture. In agriculture sustainability evaluation, holistic approach is needed, that determine the selection of different indicators and important farms` group for the assessment. Environmentally sustainable agriculture is the state, that should be characterized by proper farms’ organization, as well as biodiversity conservation. Taking into account the need of sustainability, the its evaluation gaining the importance. The aim of the paper is to present the scope of progress in environmental agriculture sustainability in Poland. Using public statistics for 2005, 2007 and 2016 of Statistics Poland and data about areas with high nature value farmlands (HNVfs), the direction in which tends Polish agriculture was indicated, putting particular attention to agriculture production organization and biodiversity protection. There was used a set of indicators that enable to evaluate the analyzed phenomenon, based on uniform, national data and legal documents. Research results indicated that Poland has a great potential of valuable natural farming areas. Environmental development of agriculture is observed.