Who is researching biodiversity hotspots in Eastern Europe? A case study on the grasslands in Romania.

European farmlands are vital arenas for socio-ecological sustainability because of their significant land coverage and potential for integrating food production with biodiversity conservation. The knowledge produced by scientific research is a critical ingredient in developing and implementing socio-economically and ecologically sustainable management strategies for farming landscapes. The grasslands of Europe have been managed for millennia. They have exceptional socio-cultural and economic value and are among the most biodiverse ecosystems in the world. The quality of scientific knowledge on them and its potential to address grasslands as complex socio-ecological systems is strongly dependent not only on the creativity and scientific ambition of the researcher, but also on the network around the researcher (including both academic and non-academic sectors). The goal of this study is to map the research network around Romania's grasslands using bibliometrics analysis, a well-developed scientific domain that utilizes network theory to analyze relationships between affiliations networks, co-authorship networks, and co-word analysis. The number of studies targeting grasslands in Romania is increasing, owing mostly to international involvement. However, management of the grasslands is still deficient and the contribution of science to the process is virtually absent. The current research is mainly related to the biological and ecological characteristics of grasslands, with topics related to their management notably absent from internationally visible research, especially in the context of EU Common Agricultural Policies. To increase scientific inquiry and better inform the EU and local policies on grasslands management, Romanian researchers should capitalize on international collaborations and local academic leaders. Our findings can be used to identify research gaps and to improve collaboration and knowledge exchange between practitioners, researchers, policy makers, and stakeholders.

Empirical analysis and modeling of Argos Doppler location errors in Romania.

BACKGROUND: Advances in wildlife tracking technology have allowed researchers to understand the spatial ecology of many terrestrial and aquatic animal species. Argos Doppler is a technology that is widely used for wildlife tracking owing to the small size and low weight of the Argos transmitters. This allows them to be fitted to small-bodied species. The longer lifespan of the Argos units in comparison to units outfitted with miniaturized global positioning system (GPS) technology has also recommended their use. In practice, large Argos location errors often occur due to communication conditions such as transmitter settings, local environment, and the behavior of the tracked individual. METHODS: Considering the geographic specificity of errors and the lack of benchmark studies in Eastern Europe, the research objectives were: (1) to evaluate the accuracy of Argos Doppler technology under various environmental conditions in Romania, (2) to investigate the effectiveness of straightforward destructive filters for improving Argos Doppler data quality, and (3) to provide guidelines for processing Argos Doppler wildlife monitoring data. The errors associated with Argos locations in four geographic locations in Romania were assessed during static, low-speed and high-speed tests. The effectiveness of the Douglas Argos distance angle filter algorithm was then evaluated to ascertain its effect on the minimization of localization errors. RESULTS: Argos locations received in the tests had larger associated horizontal errors than those indicated by the operator of the Argos system, including under ideal reception conditions. Positional errors were similar to those obtained in other studies outside of Europe. The errors were anisotropic, with larger longitudinal errors for the vast majority of the data. Errors were mostly related to speed of the Argos transmitter at the time of reception, but other factors such as topographical conditions and orientation of antenna at the time of the transmission also contributed to receiving low-quality data. The Douglas Argos filter successfully excluded the largest errors while retaining a large amount of data when the threshold was set to the local scale (two km). DISCUSSION: Filter selection requires knowledge about the movement patterns and behavior of the species of interest, and the parametrization of the selected filter typically requires a trial and error approach. Selecting the proper filter reduces the errors while retaining a large amount of data. However, the post-processed data typically includes large positional errors; thus, we recommend incorporating Argos error metrics (e.g., error ellipse) or use complex modeling approaches when working with filtered data.

Power, influence and structure in Natura 2000 governance networks. A comparative analysis of two protected areas in Romania.

Successful management of complex social-ecological landscapes overlapping Natura 2000 sites requires collaboration between various actors such as law enforcement agencies, NGOs and enterprises. Natura 2000 governance is stimulated by central actors (e.g., Natura 2000 administrators), with successes and failures of management activities depending on the capacity of the network leader to implement a collaborative approach to environmental governance. By using social network analysis, we analysed the cooperation, information flow and capacity for collective action within Natura 2000 governance networks within two Romanian protected areas: Lower Siret Floodplain and Iron Gates Natural Park. The two networks represent protected areas managed by different types of organisations (i.e., Lower Siret Floodplain - by an NGO, Iron Gates Natural Park - by a public entity). Taking into consideration that NGOs may favour an adaptive co-management, while the public bodies may take a top-down management approach, we hypothesize that Lower Siret Floodplain will have a more cohesive and collaborating network compared to Iron Gates Natural Park, and that there will be a greater representation of private and NGO sector in the network coordinated by Lower Siret Floodplain. Contrary to our expectations, the results show that collaboration patterns are similar in the two networks, although they are governed by two different types of institutions, both being less participative than expected, with low involvement of NGOs and private stakeholders. Furthermore, Lower Siret Floodplain network is surprisingly more centralized around a small number of public authorities, and the pre-existing power of public bodies likely inhibit the capacity of the NGO to collaborate with private stakeholders. We also found lower collaboration levels between actors in the network periphery with other organisations from the same cluster, denoting a clear top-down approach of the management in both networks. Our findings suggest that delegating the protected areas administration to NGOs, a solution to increase the use of co-management in protected areas, does not solve the poor representation of private stakeholders.