The need for the implementation of an Ecosystem Services assessment in Greece: drafting the national agenda

This paper presents the establishment and the first outcomes of the Hellenic Ecosystem Services Partnership (HESP), a scientific-technical committee aiming at the guidance and coordination of the Ecosystem Services (ES) assessment in Greece. HESP consists of experts from different disciplines (ecology, marine biology, socio-ecological system science) and aims to: i) coordinate ES assessment efforts under a shared framework; ii) promote the ES approach in Greece; iii) support the European implementation of ES at the national level (Mapping and Assessment of Ecosystem and their Services initiative), and iv) fulfill priority actions regarding the ES implementation and the obligations derived from the National Biodiversity Strategy. In this paper, we present the first drafting of the National Agenda including short- and long-term objectives towards the national implementation of MAES, we outline the HESP Action Plan to 2020, as well as the timeline of the basic steps to be taken, to achieve decision making on the basis of ES maintenance and enhancement. It will also serve as a call for action to encourage more ES assessments at the national level, but also as a primer for the inclusion of protected areas and other areas of special importance for ES assessments at the EU level

A multidisciplinary critical review of ecosystem services studies in Greece: approaches, shortcomings and the pathway to implementation

During the last two decades, ecosystem services (ES) research is used to inform the various steps of decision- and policy- making process, regarding environmental management, spatial planning and natural capital accounting. In the EU, this vast and rapid publication boom was triggered by the enactment of Action 5 of the EU Biodiversity Strategy to 2020, urging Member States to implement Mapping and Assessment of Ecosystem and their Services (MAES); few countries pioneered, while others are still lagging behind. In Greece, the implementation of MAES started in 2014 and since then an impressive progress has been made, with Greece now being among the countries with the most rapid progress. However, there are still major knowledge and data gaps on ecosystem services in Greece; know-how on specific methods, tools and practices is still to be developed. This poses obstacles in integrative efforts to identify and/or interpret the various co-variates affecting ecosystems and their services in space and time and hinders the incorporation of the ES generated information into the decision-making process. Making the first steps towards overcoming these hurdles, the present study aims to (i) synthesize the ecosystem services literature relevant to the ES implementation in Greece, (ii) validate and classify each literature source to the relevant ecosystem services categories, (iii) identify shortcomings in terms of ES assessed and data available, and (iv) critically review the variety of approaches to ES assessments that are followed. The outcomes of this study will facilitate the efficient implementation of ecosystem services assessments in Greece

Analysing the distribution of strictly protected areas toward the EU2030 target

Protecting global biodiversity is one of the most urgent tasks for the coming decades. Area-based conservation is a pillar for preserving ecosystems and species. Strictly protected areas specifically preserve biodiversity and ecosystem processes. The “EU Biodiversity Strategy for 2030” targets strict protection for 10% of land area. Here we performed the first analysis of strictly protected areas (as IUCN type Ia, Ib, and II) across Europe, by investigating their area coverage at the level of biogeographical regions, countries and elevation gradients. We show that, with few exceptions, the amount of strictly protected area is very limited and the spatial distribution of such protected areas is biased towards higher elevation sites, as in the case of other protected areas. Then, we suggest that potential areas should be identified to expand strictly protected areas with low economic and social costs including, for instance, areas with high biodiversity value, low population, and low productive land use. Finally, we propose that a coordinated effort and a strategic plan to achieve continental-scale conservation are fundamental, and at least half of this land under strict conservation (i.e. 5%) should be under the protection categories Ia and Ib

Translating land cover/land use classifications to habitat taxonomies for landscape monitoring: A Mediterranean assessment

Periodic monitoring of biodiversity changes at a landscape scale constitutes a key issue for conservation managers. Earth observation (EO) data offer a potential solution, through direct or indirect mapping of species or habitats. Most national and international programs rely on the use of land cover (LC) and/or land use (LU) classification systems. Yet, these are not as clearly relatable to biodiversity in comparison to habitat classifications, and provide less scope for monitoring. While a conversion from LC/LU classification to habitat classification can be of great utility, differences in definitions and criteria have so far limited the establishment of a unified approach for such translation between these two classification systems. Focusing on five Mediterranean NATURA 2000 sites, this paper considers the scope for three of the most commonly used global LC/LU taxonomies—CORINE Land Cover, the Food and Agricultural Organisation (FAO) land cover classification system (LCCS) and the International Geosphere-Biosphere Programme to be translated to habitat taxonomies. Through both quantitative and expert knowledge based qualitative analysis of selected taxonomies, FAO-LCCS turns out to be the best candidate to cope with the complexity of habitat description and provides a framework for EO and in situ data integration for habitat mapping, reducing uncertainties and class overlaps and bridging the gap between LC/LU and habitats domains for landscape monitoring—a major issue for conservation. This study also highlights the need to modify the FAO-LCCS hierarchical class description process to permit the addition of attributes based on class-specific expert knowledge to select multi-temporal (seasonal) EO data and improve classification. An application of LC/LU to habitat mapping is provided for a coastal Natura 2000 site with high classification accuracy as a result

Ecological simulation models of metapopulation on multiple scales of space and disturbance

The classical models in ecology assume that space is homogeneous or that space is characterized by pattern at a single scale. These assumptions are not realistic. Therefore, we need to explore the theoretical models under more realistic assumptions regarding spatial structure and its scaling properties. This thesis focuses on scale issues and how the spatial structure of habitat affects the long-term persistence of populations. The thesis consists of four parts: I develop and analyze techniques for the recording of spatial pattern that are independent of observation scale (first part), and then I apply them on recording the spatial pattern of the vegetation along a transitional zone from a Mediterranean type ecosystem to an oak deciduous forest (second part). In the next sections, I use spatially explicit models to investigate the consequences of spatial autocorrelation (of both habitat and disturbance) on the longterm persistence of metapopulation systems (third part) and on the selection of optimal dispersal distance (fourth part).Oι παραδοχές των κλασικών μοντέλων της οικολογίας για ομοιογενή χώρο ή για χωρικά πρότυπα σε μία μόνο κλίμακα δεν ανταποκρίνονται στην πραγματικότητα. Υπάρχει ανάγκη για διερεύνηση των θεωρητικών μοντέλων κάτω από πιο ρεαλιστικές υποθέσεις ως προς τη δομή του χώρου και τις κλίμακες ανάλυσης και προσέγγισής του. Η παρούσα διατριβή εστιάζει στα προβλήματα της κλίμακας και στο τι συνεπάγεται η χωρική δομή του ενδιαιτήματος για την επιβίωση των πληθυσμών και δη μακροπρόθεσμα

untitled

The local-regional diversity relationship of woody plant species along an altitudinal gradient of Mt. Holomontas, Greece was studied. It was found that this relationship depends on scale, and more precisely on the difference in scale between what is considered local and what is considered regional scale of observation. When the local scale covers a large part of the region, then local diversity depends on regional diversity. When the difference in scale is large, then local diversity is independent of regional diversity. These findings highlight the limitations of the localregional diversity relationship for inferring community saturation due to species interaction

How Biodiversity, Climate and Landscape Drive Functional Redundancy of British Butterflies

Biodiversity promotes the functioning of ecosystems, and functional redundancy safeguards this functioning against environmental changes. However, what drives functional redundancy remains unclear. We analyzed taxonomic diversity, functional diversity (richness and β-diversity) and functional redundancy patterns of British butterflies. We explored the effect of temperature and landscape-related variables on richness and redundancy using generalized additive models, and on β-diversity using generalized dissimilarity models. The species richness-functional richness relationship was saturating, indicating functional redundancy in species-rich communities. Assemblages did not deviate from random expectations regarding functional richness. Temperature exerted a significant effect on all diversity aspects and on redundancy, with the latter relationship being unimodal. Landscape-related variables played a role in driving observed patterns. Although taxonomic and functional β-diversity were highly congruent, the model of taxonomic β-diversity explained more deviance than the model of functional β-diversity did. Species-rich butterfly assemblages exhibited functional redundancy. Climate- and landscape-related variables emerged as significant drivers of diversity and redundancy. Τaxonomic β-diversity was more strongly associated with the environmental gradient, while functional β-diversity was driven more strongly by stochasticity. Temperature promoted species richness and β-diversity, but warmer areas exhibited lower levels of functional redundancy. This might be related to the land uses prevailing in warmer areas (e.g., agricultural intensification)