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      Collaboration Networks in Applied Conservation Projects across Europe

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          Abstract

          The main funding instrument for implementing EU policies on nature conservation and supporting environmental and climate action is the LIFE Nature programme, established by the European Commission in 1992. LIFE Nature projects (>1400 awarded) are applied conservation projects in which partnerships between institutions are critical for successful conservation outcomes, yet little is known about the structure of collaborative networks within and between EU countries. The aim of our study is to understand the nature of collaboration in LIFE Nature projects using a novel application of social network theory at two levels: (1) collaboration between countries, and (2) collaboration within countries using six case studies: Western Europe (United Kingdom and Netherlands), Eastern Europe (Romania and Latvia) and Southern Europe (Greece and Portugal). Using data on 1261 projects financed between 1996 and 2013, we found that Italy was the most successful country not only in terms of awarded number of projects, but also in terms of overall influence being by far the most influent country in the European LIFE Nature network, having the highest eigenvector (0.989) and degree centrality (0.177). Another key player in the network is Netherlands, which ensures a fast communication flow with other network members (closeness—0.318) by staying connected with the most active countries. Although Western European countries have higher centrality scores than most of the Eastern European countries, our results showed that overall there is a lower tendency to create partnerships between different organization categories. Also, the comparisons of the six case studies indicates significant differences in regards to the pattern of creating partnerships, providing valuable information on collaboration on EU nature conservation. This study represents a starting point in predicting the formation of future partnerships within LIFE Nature programme, suggesting ways to improve transnational cooperation and communication.

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          Geographic Constraints on Social Network Groups

          Social groups are fundamental building blocks of human societies. While our social interactions have always been constrained by geography, it has been impossible, due to practical difficulties, to evaluate the nature of this restriction on social group structure. We construct a social network of individuals whose most frequent geographical locations are also known. We also classify the individuals into groups according to a community detection algorithm. We study the variation of geographical span for social groups of varying sizes, and explore the relationship between topological positions and geographic positions of their members. We find that small social groups are geographically very tight, but become much more clumped when the group size exceeds about 30 members. Also, we find no correlation between the topological positions and geographic positions of individuals within network communities. These results suggest that spreading processes face distinct structural and spatial constraints.
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            Bridging: Locating Critical Connectors in a Network.

            This paper proposes several measures for bridging in networks derived from Granovetter's (1973) insight that links which reduce distances in a network are important structural bridges. Bridging is calculated by systematically deleting links and calculating the resultant changes in network cohesion (measured as the inverse average path length). The average change for each node's links provides an individual level measure of bridging. We also present a normalized version which controls for network size and a network level bridging index. Bridging properties are demonstrated on hypothetical networks, empirical networks, and a set of 100 randomly generated networks to show how the bridging measure correlates with existing network measures such as degree, personal network density, constraint, closeness centrality, betweenness centrality, and vitality. Bridging and the accompanying methodology provide a family of new network measures useful for studying network structure, network dynamics, and network effects on substantive behavioral phenomenon.
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              The challenge of implementing the European network of protected areas Natura 2000.

              Established under the European Union (EU) Birds and Habitats Directives, Natura 2000 is one of the largest international networks of protected areas. With the spatial designation of sites by the EU member states almost finalized, the biggest challenge still lying ahead is the appropriate management of the sites. To evaluate the cross-scale functioning of Natura 2000 implementation, we analyzed 242 questionnaires completed by conservation scientists involved in the implementation of Natura 2000 in 24 EU member states. Respondents identified 7 key drivers of the quality of Natura 2000 implementation. Ordered in decreasing evaluation score, these drivers included: network design, use of external resources, legal frame, scientific input, procedural frame, social input, and national or local policy. Overall, conservation scientists were moderately satisfied with the implementation of Natura 2000. Tree modeling revealed that poor application of results of environmental impact assessments (EIA) was considered a major constraint. The main strengths of the network included the substantial increase of scientific knowledge of the sites, the contribution of nongovernmental organizations, the adequate network design in terms of area and representativeness, and the adequacy of the EU legal frame. The main weaknesses of Natura 2000 were the lack of political will from local and national governments toward effective implementation; the negative attitude of local stakeholders; the lack of background knowledge of local stakeholders, which prevented well-informed policy decisions; and the understaffing of Natura 2000 management authorities. Top suggestions to improve Natura 2000 implementation were increase public awareness, provide environmental education to local communities, involve high-quality conservation experts, strengthen quality control of EIA studies, and establish a specific Natura 2000 fund.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                10 October 2016
                2016
                : 11
                : 10
                : e0164503
                Affiliations
                [1 ]Centre for Environmental Research and Impact Studies, University of Bucharest, Bucharest, Romania
                [2 ]Department of Biological Sciences, Ohio University, Athens, Ohio, United States of America
                Tianjin University of Technology, CHINA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                • Conceptualization: AN LR.

                • Data curation: AN LR.

                • Formal analysis: AN LR.

                • Investigation: AN LR SM CMC IVM.

                • Methodology: AN LR.

                • Software: AN LR.

                • Validation: AN LR SM CMC IVM VDP.

                • Writing – original draft: AN LR SM CMC IVM VDP.

                • Writing – review & editing: AN LR.

                Author information
                http://orcid.org/0000-0002-0661-608X
                Article
                PONE-D-16-22092
                10.1371/journal.pone.0164503
                5056702
                27723834
                d1ae9e6a-7365-40d6-a28e-7d11cec97d5a
                © 2016 Nita et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 1 June 2016
                : 21 September 2016
                Page count
                Figures: 3, Tables: 3, Pages: 16
                Funding
                Funded by: CNCS – UEFISCDI
                Award ID: PN-II-RU-TE-2014-4-1039
                Award Recipient :
                The authors were supported by a grant of the Romanian National Authority for Scientific Research, CNCS – UEFISCDI ( http://uefiscdi.gov.ro), PN-II-RU-TE-2014-4-1039.
                Categories
                Research Article
                Ecology and Environmental Sciences
                Conservation Science
                Computer and Information Sciences
                Network Analysis
                Centrality
                Computer and Information Sciences
                Network Analysis
                Social Networks
                Social Sciences
                Sociology
                Social Networks
                Physical Sciences
                Mathematics
                Algebra
                Linear Algebra
                Eigenvectors
                Biology and Life Sciences
                Conservation Biology
                Ecology and Environmental Sciences
                Conservation Science
                Conservation Biology
                People and Places
                Geographical Locations
                Europe
                People and Places
                Geographical Locations
                Europe
                Netherlands
                People and Places
                Geographical Locations
                Europe
                Romania
                Custom metadata
                All relevant data are within the paper and its Supporting Information files.

                Uncategorized
                Uncategorized

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