As long as the world continues to experience war, climate change, financial adversity,and persecution; the number of refugees will only continue to grow along with the needto develop more effective and innovative integration strategies. Currently, to address theongoing challenges that refugees face in Europe, the European Commission has publishedthe Action Plan on Integration and Inclusion 2021-2027, illustrating the criteria for theadequate inclusion of migrants and refugees in EU Member States. While focusing oneach of the key areas discussed in the Action Plan- education, employment, healthcare,and housing- the present study also turns its attention to the growing practice of CitizenScience (CS) as a potential means of contributing to the EU’s endeavours. As establishedin the literature covered in this paper, CS is understood as research practices relying onthe general public’s engagement in different research tasks that focus on matters ofcommon concern among researchers and different communities. Due to the potentialshown by this open, flexible, and participatory quality of these practices, this study hasproceeded to investigate which EU requirements for inclusion are met by CS initiativesbased on the correlations in CS principles and strategies with the EU Action Plan criteria.Following a qualitative research method based on comparative text analysis of EU andCS documents, as well as interviews with members of four CS case studies, this paperhas identified several principles and working areas that align with CS and Europeanintegration requirements for refugees. Nonetheless, the study results also show certainlimitations to the influence that CS projects can have for refugee’s integration which arebased on the short-term impacts of this practice and the lack of general acceptance anduse of CS research data among policy-makers in the EU and its Member States. Based onthese results, the usefulness and relevance of CS initiatives to integration efforts withinEurope can be said to exhibit certain potential although, limited and largely unexploredin policy-making and academia.

Volunteer pruning programs are becoming an important tool in helping municipal arborists manage the urban forest. To find if volunteers can learn to prune trees well, the ability of volunteers to prune small trees after receiving training was assessed in three different ways, a written exam, a pruning prescription assessment, and a pruning cut assessment. Volunteers were assigned to either an indoor, lecture-based training or an outdoor, hands-on training session. After the training volunteers were asked to complete a written exam to gauge their understanding of the curriculum. Volunteers were then asked to perform a pruning prescription on small street trees indicating where they would prune to remove structural issues and branches growing into signs and walkways. Finally, volunteers were asked to make a removal cut and reduction cut using hand pruners. Volunteers who received indoor training performed significantly better on the written exam. Both training groups performed well on the pruning prescription assessment. At each location, volunteers who received the outdoor training scored significantly higher than the indoor group on their pruning prescription. The type of training received did not affect a volunteer’s ability to make good pruning cuts. These results indicate that, given proper training, volunteers can learn to prune small trees to the satisfaction of an arborist.

Dogs have been used alongside humans as detection tools for centuries. There have been a multitude of studies published that demonstrate the accuracy and utility of detection dogs, more specifically conservation scent detection dogs. With ubiquitous agricultural threats in the United States, there is a need for a tool to help decrease the threat level. Pet dogs could be the answer. There are millions of pet dogs in the United States and with the success of the dog sport nose work there is the potential to use pet dogs as detection tools. In this proof-of-concept study, six pet dogs were trained to detect the spotted lanternfly. The dogs completed a training phase and five tests. The mean sensitivity of the six dogs, for the five tests, was 79.75%. The mean PPP of the six dogs, for all five tests, was 66.79%. The results suggest that these six dogs could be beneficial detection tools for the Spotted Lanternfly. Based on the findings in this study, pet dogs could be invaluable in the field of conservation scent detection. / Master of Science / Dogs have been used alongside humans as detection tools for centuries. There have been a multitude of studies published that demonstrate the accuracy and utility of detection dogs, more specifically conservation scent detection dogs. With ubiquitous agricultural threats in the United States, there is a need for a tool to help decrease the threat level. Pet dogs could be the answer. There are millions of pet dogs in the United States and with the success of the dog sport nose work there is the potential to use pet dogs as detection tools. In this proof-of-concept study, six pet dogs were trained to detect the spotted lanternfly. The dogs completed a training phase and five tests. The mean sensitivity, or proportion of correct detections, of the six dogs, for the five tests, was 79.75%. The mean PPP, or likelihood it is that the source of odor is present when a dog offers an alert; of the six dogs, for all five tests, was 66.79%. The results suggest that these six dogs could be beneficial detection tools for the Spotted Lanternfly. Based on the findings in this study, pet dogs could be invaluable in the field of conservation scent detection.

Truly unique and innovative solutions are needed to resolve today's complex and controversial environmental issues (e.g., biodiversity loss, global warming, cultural evolution, etc.). In response to these concerns, a variety of applied science programs have emerged to help people make better decisions about the environment. Each of these programs (e.g., conservation biology, restoration ecology, sustainable forestry, environmental toxicology, and others) produces specialized knowledge that is used to achieve specific social and environmental goals. For example, the peer-reviewed, scientific analyses published in Conservation Biology are most likely concerned with the goal of preserving biological diversity, whereas the equally scientific and respected analyses published in Forest Science are most likely concerned with the goal of sustaining timber yields. Likewise, studies in environmental toxicology investigate risks to human health by environmental pollutants, while stud! ies in ecological restoration serve to maximize the integrity of natural systems. Unfortunately, these diverse forms of knowledge offer multiple and often conflicting ways of thinking about the environment. Public ecology is a response to this dilemma. The primary goal of public ecology is construct common ground between people's diverse beliefs and values for the environment. Toward this end, public ecology is an interdisciplinary and collaborative approach to environmental science and politics. Public ecology integrates perspectives from the social and natural sciences, the humanities, and public understandings of the environment. Public ecology is not only a cross-cultural and comparative form of environmental studies, it is also a citizen science that encourages all concerned stakeholders to participate with research specialists, technical experts, and professional decision-makers in developing creative solutions to persistent environmental problems. / Ph. D.

In this paper I examine the possibilities for researchers in the field of climate change in the arctic ecosystems to collaborate with people of the common public for monitoring or to answer scientific questions, sometimes called Citizen Science. I have done this by focusing on the research community of Abisko, northern Sweden. I present a number of examples of possible projects that I have collected through literature, interviews and field work with researchers. Furthermore, I argue that Citizen Science projects might be a tool for nature guides in reaching adventurous visitors searching for more understanding of climate change, ecosystems, and who also want to contribute to real science. However, Citizen Science can also be a part of the democratization of a community when local people get engaged. Thus different aspects of Citizen Science are suitable for different target groups.

Citizen Science (CS) ist eine Methode, die in den letzten Jahren in der Wissenschaft weltweit an Bedeutung gewonnen hat. Obwohl viele Studien diese Daten mit denen von akademischen Forschenden verglichen, gibt es immer noch Bedenken hinsichtlich ihrer Qualität. In meiner Doktorarbeit zielte ich darauf ab die Methode CS für eine Vogelart mit einem großen Repertoire, der Nachtigall (Luscinia megarhynchos), als Anwendungsfall auf der Grundlage der Dialektforschung zu evaluieren. Ich untersuchte, ob die drei vermeintlichen Hauptgründe für schlechte Qualität (Anonymität, Unerfahrenheit und fehlende Standardisierung) zu unvollständigen, zeitlich oder räumlich verzerrten und ungenauen bioakustischen Daten führten. Dazu analysierte ich nicht-standardisierte CS-Aufnahmen, die mit einem Smartphone über die 'Naturblick' App erstellt wurden, welche einen eingebauten Mustererkennungsalgorithmus enthielt. Ich konnte in meiner Doktorarbeit zeigen, dass mit der Methode CS valide Daten für die bioakustische Forschung gewonnen werden können. Meine Ergebnisse zeigten, dass Anonymität, mangelnde Erfahrung und Standardisierung nicht zu geringer Qualität führten, sondern zu einem großen Datensatz, der genauso wertvoll war wie jene von akademischen Forschenden. Die Ergebnisse sind von großer Bedeutung für künftige CS-Projekte zur Verbesserung der Qualität und des Vertrauens in diese Daten. / Citizen science (CS) is a method that has been increased in science worldwide in recent years. Although many studies have compared these data with those of academic researchers, there are still concerns about their quality. In my doctoral thesis I aimed to evaluate the method of CS for a bird species with a large repertoire, the nightingale (Luscinia megarhynchos), as a use case based on dialect research. I investigated whether the three main assumed reasons for poor quality (anonymity, inexperience and lack of standardisation) led to incomplete, temporal or spatial biassed and inaccurate bioacoustic data. Therefore, I analysed non-standardised CS recordings, which were generated with a smartphone via the 'Naturblick' app, which contained an in-built pattern recognition algorithm. In summary (Chapter V), my doctoral thesis showed that the method CS could be used to generate valid data for bioacoustic research. My findings showed that anonymity, lack of experience and standardisation did not lead to low quality but in fact to a large dataset, which was as valuable as ones from academic researchers. The results are of great relevance for future CS projects to improve the quality and the trust in these data.

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Die Geschichte des Radfahrens in der Lausitz um 1900 ist noch nicht auserzählt. Regionale Radfahrer-Bünde sind nur ein Aspekt der Mobilitäts- und Sportgeschichte: LRB, OLRB, SRB, DRB, ARU und „Solidarität“ hießen damals die Radfahrer-Bünde, um nur einige zu nennen. Örtliche Radfahrervereine, die Fahrradproduktion, Handel und Reparaturwerkstätten und darüber hinaus die frühe Verbreitung des Fahrrads in der Ober- und Niederlausitz sind Aspekte, die weiter erforscht werden können. Radrennen und Dauerfahrten in der Oberlausitz sind Inhalt des vorliegenden Artikels, der einerseits einen Einstieg in neue Recherchen bietet und andererseits Quellen und Methoden für diese Art der Spurensuche diskutiert. [... aus dem Artikel]

Diversity within a habitat is determined largely by ecology and species interactions. Studies to date, however, rarely examined the role of intraspecific aggression in promoting coexistence and diversity. This is especially true in cities, where community ecology is poorly understood. This knowledge is important for basic understanding of how ecological principals come into play in our newly created habitats, as well as for reconciling human-dominated areas for wildlife.I studied the effect of human-made habitats on hummingbird abundance and diversity in Tucson, Arizona. To do that, I examined community organization and competitive interactions among four hummingbird species. I answer the questions: What is the community organization of hummingbirds in Tucson? How do characteristics of human habitats (e.g., landscaping and artificial resources) affect diversity? What mechanism underlies this pattern? And how can we apply this knowledge to conservation?To perform this study, I established a citizen science project - the Tucson Hummingbird Project (http://hummingbirds.arizona.edu). Trained participants reported abundance and behavior of hummingbirds in their backyards. Landscaping and resources (feeders and nectar plants) varied between yards.Results show that the distribution of hummingbirds in Tucson varies by species. Diversity, rather than merely abundance, increased with higher habitat heterogeneity and with more resources. Competitive interactions differ between species. Notably, intraspecific competition takes precedence over interspecific competition in the dominant and most common species, Anna's hummingbird.Based on the data, I suggest that Aggressive Resource Neglect (ARN) promotes coexistence and results in higher diversity when resources are augmented. When there are more feeders, they are distributed over a larger area. This reduces the ability of a territory-owner to defend these resources. While the territory-owner chases intruders, other individuals gain access to feeding opportunities. When dominant individuals prefer chasing conspecifics (as with Anna's hummingbird), this results in higher diversity.Besides discussing theoretical aspects, I apply this knowledge to conservation. Information on the community ecology enabled me to suggest ecologically-based ways to reconcile the city for native hummingbirds. By adding resources following an ecological protocol, we can promote biodiversity and surround ourselves with native wildlife, such as hummingbirds.

The behaviour of zoo animals can come to anticipate temporally predictable feeding times. However, there is a lack of consensus over the effects of such routines on behaviour and welfare. Few studies have been published in this area, perhaps in part due to methodological challenges. The current programme of work therefore aimed to extend knowledge on the effect of predictable feeding routines, and to develop a suitable methodology to overcome challenges. Prior to predictable feeding, tigers showed patterns of increased ‘active’ behaviours such as locomotion and pacing, and decreased inactivity. Geckos also showed increased ‘active’ behaviours such as locomotion and ‘stationary but moving head’ prior to predictable, compared to unpredictable feeding times, with significant differences between conditions (RSS = 0.059 and 0.047, p < .05). However, anticipatory patterns were not demonstrated for meerkats, which highlighted that other environmental factors may affect an animal’s response to temporal predictability (such as obtaining other food during the day, or signalled predictability). Studying patterns of behavioural change over time requires long periods of observation which is often not possible for researchers. The current programme of work argues that a measure which can be reliably used by many, relatively untrained observers is necessary to study predictability. The measure of ‘busyness’, a subjective rating of animal behaviour, was tested for reliability and validity. Busyness ratings showed good inter-observer reliability (ICC > .72) and correlated with traditional measures of behaviour. Busyness ratings demonstrated clear patterns related to feeding time and gave a useful compound measure of behavioural change. The use of multiple observers was extended to a citizen science approach, where useful data on anticipation in fish were obtained from aquarium visitors using a touch screen. The current programme of work successfully investigated the effects of predictable feeding routines on patterns of animal behaviour, alongside the development of suitable methods. The qualitative techniques developed here offer potential to increase the data obtained in future research into predictability and many other topics.