Social media influences National Park visitation.

Visitation to National Parks in the United States increased by more than 25% since 2010, rising from roughly 70 to 90 million annual visitors. Anecdotes suggest that this increase was driven by the advent of social media in the early-to-mid 2010s, generating a new form of exposure for parks, and has led to concerns about overcrowding and degradation of environmental quality. However, there is little empirical evidence on the role of social media in influencing recreation decisions. Here, I construct a dataset on social media exposure (SME) for each National Park and relate that exposure to changes in visitation over the last two decades. High SME parks see visitation increase by 16 to 22% relative to parks with less exposure, which comes with a concomitant increase in revenue. Low SME parks have no, or negative, changes in visitation. These estimates account for unobserved park heterogeneity and are based on an instrumental variables strategy that predicts exposure with a park's online popularity prior to the social media era. Additional analysis suggests that recent social media posts that include media attachments increase visitation, while posts with negative sentiment reduce visitation. These results provide insight for the National Park Service-which faces more than $22 billion in deferred maintenance costs and is considering policy options to manage demand-as well as for management of recreation on other public lands.

Research alignment in the U.S. national park system: Impact of transformative science policy on the supply and demand for scientific knowledge for protected area management.

The US National Park System encompasses diverse environmental and tourism management regimes, together governed by the 1916 Organic Act and its dual mandate of conservation and provision of public enjoyment. However, with the introduction of transformative science policy in the 2000's, the mission scope has since expanded to promote overarching science-based objectives. Yet despite this paradigm shift instituting "science for parks, parks for science", there is scant research exploring the impact of the National Park Science Policy on the provision of knowledge. We address this gap by developing a spatiotemporal framework for evaluating research alignment, here operationalized via quantifiable measures of supply and demand for scientific knowledge. Specifically, we apply a machine learning algorithm (Latent Dirichlet analysis) to a comprehensive park-specific text corpus (combining official needs statements -i.e. demand- and scientific research metadata -i.e. supply-) to define a joint topic space, which thereby facilitates quantifying the direction and degree of alignment at multiple levels. Results indicate an overall robust degree of research alignment, with misaligned topics tending to be over-researched (as opposed to over-demanded), which may be favorable to many parks, but is inefficient from the park system perspective. Results further indicate that the transformative science policy exacerbated the misalignment in mandated research domains. In light of these results, we argue for improved decision support mechanisms to achieve more timely alignment of research efforts towards distinctive park needs, thereby fostering convergent knowledge co-production and leveraging the full value of National Parks as living laboratories.

Traditional ecological knowledge for monitoring Anaphalis javanica (DC.) Sch.Bip. (Asteraceae) in Bromo Tengger Semeru National Park, Indonesia.

Traditional ecological knowledge (TEK) possessed by indigenous communities offers a vital source of information regarding the status and threats faced by species. Anaphalis javanica (DC.) Sch.Bip. commonly known as Javanese edelweiss is a culturally significant species in Indonesia's mountainous regions, yet conservation efforts for it remain limited. We utilized TEK to assess the status and threats to the Javanese edelweiss in Bromo Tengger Semeru National Park, Indonesia. The research aims to assess the distribution, abundance, population trends, and threats faced by Javanese edelweiss using TEK. We interviewed 641 individuals from seven Tengger villages near the park to gather data on the distribution, status, and threats facing the Javanese edelweiss, contributing to conservation efforts. Data were analyzed using generalized linear mixed models and ordinal logistic regression. TEK regarding the Javanese edelweiss was extensive, as 96.3% of respondents recognized the plant. A majority (73.2%) had observed Javanese edelweiss in the wild, yet a significant portion (85%) perceived it as "very rare" or "rare." Furthermore, 50% of respondents reported a decline in its population. Variations in sighting frequency, perceived abundance, and population trends across different locations provide crucial insights for identifying priority areas and shaping community-based conservation strategies for Javanese edelweiss. This research underscores the importance of integrating TEK into conservation planning, emphasizing community involvement for effective and sustainable biodiversity conservation.

The threat of COVID-19 to the conservation of Tanzanian national parks.

In many low-income countries, the conservation of natural resources in protected areas relies on tourism revenue. However, tourist numbers in Africa were severely reduced by the COVID-19 pandemic, thus, putting the conservation of these important protected areas at risk. We use records from gate passings at national parks across Tanzania to demonstrate the immediate and severe impact on tourist numbers and revenues resulting from the COVID-19 pandemic and associated restrictions, and whether international and local (East African) tourists were affected equally. We discuss mechanisms that may reduce future negative impacts of sudden loss of revenue from international tourism, such as increasing the revenue portfolio and thereby decrease the dependency on revenues from international tourists. More important, we encourage local governments, national park authorities, and the world community to further develop and initiate external funding options to reduce the dependency on income from international nature-based tourism to preserve national parks and biodiversity. An additional long-term goal for ensuring sustained conservation would be to increase benefits to local communities adjacent to national parks, encouraging local involvement and thereby reducing the dependence on external funding in the future.

Genomics of founders for conservation breeding: the Jasper caribou case.

Conservation breeding programs are increasingly used as recovery actions for wild animals; bringing founders into captivity to rear captive populations for future reintroduction into the wild. The International Union for the Conservation of Nature recommends that founders should come from genetically close populations and should have sufficient genetic diversity to avoid mating among relatives. Genomic data are highly informative for evaluating founders due to their high resolution and ability to capture adaptive divergence, yet, their application in that context remains limited. Woodland caribou are federally listed as a Species at Risk in Canada, with several populations facing extirpation, such as those in the Rocky Mountains of Alberta and British Columbia (BC). To prevent local extirpation, Jasper National Park (JNP) is proposing a conservation breeding program. We examined single nucleotide polymorphisms for 144 caribou from 11 populations encompassing a 200,0002 km area surrounding JNP to provide information useful for identifying appropriate founders for this program. We found that this area likely hosts a caribou metapopulation historically characterized by high levels of gene flow, which indicates that multiple sources of founders would be appropriate for initiating a breeding program. However, population structure and adaptive divergence analyses indicate that JNP caribou are closest to populations in the BC Columbia range, which also have suitable genetic diversity for conservation breeding. We suggest that collaboration among jurisdictions would be beneficial to implement the program to promote recovery of JNP caribou and possibly other caribou populations in the surrounding area, which is strategically at the periphery of the distribution of this endangered species. Supplementary Information: The online version contains supplementary material available at 10.1007/s10592-023-01540-3.

Using aircraft tracking data to estimate the geographic scope of noise impacts from low-level overflights above parks and protected areas.

Sightseeing air tours have proven to be a challenging management issue for many tourist destinations around the world, especially at locations meant to protect natural and cultural resources and wilderness character. Two of the primary challenges with managing air tours are a lack of information about their travel patterns and how such patterns result in a measurable noise impact to listeners. Recent studies have highlighted the usefulness of newer technology for tracking aircraft travel patterns, particularly over national parks. In this synthesis, we pair aircraft tracks with acoustic data using a quantitative observer-based audibility modelling software toolkit. The findings delimit the long-term geographic scope of audibility for specific aircraft noise sources above landscapes of Hawai'i Volcanoes and Denali National Parks, U.S. and identify practical, 3-dimensional offset distances that can be used to reduce the functional effects of air tour noise in terms of sound level.

Does local Natural Capital Accounting deliver useful policy and management information? A case study of Dartmoor and Exmoor National Parks.

Natural capital accounting provides a systematic framework through which to quantify the benefits of natural assets. National-scale applications have demonstrated the feasibility of developing such accounts and their value as a tool to support environmental policy and management decisions. Building on that success, there have been increasing calls for sub-national organisations (for example, protected area authorities and water companies) to develop their own natural capital accounts. As we document in this paper, recent efforts by local organisations in the UK to produce such accounts have tended to rely on a set of 'standard practice' methods, many borrowed directly from national natural capital accounting exercises. In this paper, we review those methods and apply them in producing natural capital accounts for two UK National Parks. Working with the National Park Authorities, we critically assess the usefulness of those accounts to inform local land management. On account of data gaps and significant sensitivity to methodological assumptions, our research shows that these local accounts are considered of limited practical use for land management decision making at a local scale. Through specific illustrative examples, we show that natural capital accounts for local decision-making can be improved through: the inclusion of fit-for-purpose data and valuation methods, the consideration of uncertainties, and the incorporation of ecological information and spatial aspects. We also highlight the need for the development of both standardised guidelines and readily-available tools to quantify and value ecosystem services.

Habitat quality dynamics in China's first group of national parks in recent four decades: Evidence from land use and land cover changes.

As the most biodiversity-rich part of the protected areas system, habitats within the pilot national parks have long been threatened by drastic human-induced land use and land cover changes. The growing concern about habitat loss has spurred China's national park project to shift from pilot to construction phase with the official establishment of China's first group of national parks (CFGNPs) in October 2021. But far too little attention has been paid to the synergistic work concerning the habitat quality (HQ) dynamics of all five national parks. Here, the InVEST model, combined with a satellite-derived land use and land cover product and a hot spot analysis (HSA) method, was used to investigate the HQ dynamics at the park- and pixel-scale within the CFGNPs. Our results demonstrate that the past ecological conservation practices within national parks have been unpromising, especially in Giant Panda National Park, Northeast China Tiger and Leopard National Park (NCTL), and Wuyi Mountain National Park (WYM), where HQ as a whole showed a significant decline. Furthermore, more than half of Hainan Tropical Rainforest National Park (87.2%), WYM (77.4%), and NCTL (52.9%) showed significant HQ degradation from 1980 to 2019. Besides, increasing trends in the area shares of HQ degraded pixels were observed in all five national parks from 1980-1999 to 2000-2019. The HSA implied that the hot spots of high HQ degradation rates tend to occur in areas closer to urban settlements or on the edge of national parks, where human activities are intensive. Despite these disappointing findings, we highlighted from the observed local successes and the HQ plateau that the construction of CFGNPs is expected to reverse the deteriorating HQ trends. Thus, we concluded our paper by proposing an HSA-based regulatory zoning scheme that includes five subzones to guide the future construction of China's national park system.

Evaluation of the Impact of Policymakers' Decisions in the Management Capacity of Protected Areas: Efficiency Evidence from Five Countries.

Protected areas play an important role in biodiversity conservation and tourism. Significant efforts have been made to increase the amount of protected lands. A problem of increasing the amount of public protected areas is that governments and other institutions face difficulties in providing the necessary resources for effective management. Accordingly, managers must be as efficient as possible but the lack of comparative methods makes the evaluation of efficiency difficult. Using Data Envelopment Analysis, a non-stochastic and non-parametric approach, information from 29 protected areas in 5 countries was analyzed to compare management efficiency amongst them. The first result found is the level of management efficiency that each park has in comparison with the others parks. The other important result is a prediction of the changes in the outputs if there is a hypothetical budget change. These results allow the generation of information for decision making.

Enhancing biodiversity conservation and monitoring in protected areas through efficient data management.

A scientifically informed approach to decision-making is key to ensuring the sustainable management of ecosystems, especially in the light of increasing human pressure on habitats and species. Protected areas, with their long-term institutional mandate for biodiversity conservation, play an important role as data providers, for example, through the long-term monitoring of natural resources. However, poor data management often limits the use and reuse of this wealth of information. In this paper, we share lessons learned in managing long-term data from the Italian Alpine national parks. Our analysis and examples focus on specific issues faced by managers of protected areas, which partially differ from those faced by academic researchers, predominantly owing to different mission, governance, and temporal perspectives. Rigorous data quality control, the use of appropriate data management tools, and acquisition of the necessary skills remain the main obstacles. Common protocols for data collection offer great opportunities for the future, and complete recovery and documentation of time series is an urgent priority. Notably, before data can be shared, protected areas should improve their data management systems, a task that can be achieved only with adequate resources and a long-term vision. We suggest strategies that protected areas, funding agencies, and the scientific community can embrace to address these problems. The added value of our work lies in promoting engagement with managers of protected areas and in reporting and analysing their concrete requirements and problems, thereby contributing to the ongoing discussion on data management and sharing through a bottom-up approach.

Multivariate Bayesian clustering using covariate-informed components with application to boreal vegetation sensitivity.

Climate change is impacting both the distribution and abundance of vegetation, especially in far northern latitudes. The effects of climate change are different for every plant assemblage and vary heterogeneously in both space and time. Small changes in climate could result in large vegetation responses in sensitive assemblages but weak responses in robust assemblages. But, patterns and mechanisms of sensitivity and robustness are not yet well understood, largely due to a lack of long-term measurements of climate and vegetation. Fortunately, observations are sometimes available across a broad spatial extent. We develop a novel statistical model for a multivariate response based on unknown cluster-specific effects and covariances, where cluster labels correspond to sensitivity and robustness. Our approach utilizes a prototype model for cluster membership that offers flexibility while enforcing smoothness in cluster probabilities across sites with similar characteristics. We demonstrate our approach with an application to vegetation abundance in Alaska, USA, in which we leverage the broad spatial extent of the study area as a proxy for unrecorded historical observations. In the context of the application, our approach yields interpretable site-level cluster labels associated with assemblage-level sensitivity and robustness without requiring strong a priori assumptions about the drivers of climate sensitivity.

Conservation ethics in the time of the pandemic: Does increasing remote access advance social justice?

The COVID-19 pandemic is stimulating improvements in remote access and use of technology in conservation-related programs and research. In many cases, organizations have intended for remote engagement to benefit groups that have been marginalized in the sciences. But are they? It is important to consider how remote access affects social justice in conservation biology-i.e., the principle that all people should be equally respected and valued in conservation organizations, programs, projects, and practices. To support such consideration, we describe a typology of justice-oriented principles that can be used to examine social justice in a range of conservation activities. We apply this typology to three conservation areas: (1) remote access to US national park educational programs and data; (2) digitization of natural history specimens and their use in conservation research; and (3) remote engagement in conservation-oriented citizen science. We then address the questions: Which justice-oriented principles are salient in which conservation contexts or activities? How can those principles be best realized in those contexts or activities? In each of the three areas we examined, remote access increased participation, but access and benefits were not equally distributed and unanticipated consequences have not been adequately addressed. We identify steps that can and are being taken to advance social justice in conservation, such as assessing programs to determine if they are achieving their stated social justice-oriented aims and revising initiatives as needed. The framework that we present could be used to assess the social justice dimensions of many conservation programs, institutions, practices, and policies.

Stakeholders' evolutionary relationship analysis of China's national park ecotourism development.

To mitigate the conflict of economic development and ecological protection, China government initiates its national park plan in recent years. In this stage, addressing the benefit contradictories among stakeholders is of importance. Around this issue, this paper focuses on the one of most keen-edged topics in China, which is how to deal well with the coordination issue among local government, tourism development enterprise and local residents. To disentangle the complexly dynamic relationships among them, a set of mathematical models are built and derived, based on evolutionary game theory. The corresponding results indicate that the intensity of regulation by local governments, the degree of compensation to ecotourism development projects by tourism development enterprises, and the participation degree of local residents to the projects are closely related to ultimate game stabilization; some propositions are gained accordingly, which suggest the bounded conditions to achieve the optimal stabilization. To validate and broaden the results, the relevant numerical simulation and discussion are provided.

Protected area, easement, and rental contract data reveal five communities of land protection in the United States.

Land protection efforts represent large societal investments and are critical to biodiversity conservation. Land protection involves a complex mosaic of areas managed by multiple organizations, using a variety of mechanisms to achieve different levels of protection. We develop an approach to synthesize, describe, and map this land protection diversity over large spatial scales. We use cluster analysis to find distinct "communities" of land protection based on the organizations involved, the strictness of land protection, and the protection mechanisms used. We also associate identified land protection communities with socioenvironmental variables. Applying these methods to describe land protection communities in counties across the coterminous United States, we recognize five different land protection communities. Two land protection communities occur in areas with low human population size at higher elevations and include a large amount of protected land primarily under federal management. These two community types are differentiated from one another by the particular federal agencies involved, the relative contributions of smaller actors, and the amount of protection by designations vs. conservation easements or covenants. Three remaining land protection communities have less overall protection. Land in one community is primarily protected by federally managed rental contracts and government managed easements; another is managed by a diversity of non-federal actors through fee-ownership and easements; and the third stands out for having the lowest amount of formally recorded protection overall. High elevation and poor quality soils are over-represented in U.S. protected lands. Rental contracts help fill in gaps in counties with high productivity soil while the U.S. Fish and Wildlife Service fills in gaps in low-elevation counties. Counties with large numbers of threatened species have more and stricter protection, particularly by regional entities like water management districts. The ability to synthesize and map land protection communities can help conservation planners tailor interventions to local contexts, position local agencies to approach collaborations more strategically, and suggest new hypotheses for researchers regarding interactions among different protection mechanisms.

Exploring human-nature interactions in national parks with social media photographs and computer vision.

Understanding the activities and preferences of visitors is crucial for managing protected areas and planning conservation strategies. Conservation culturomics promotes the use of user-generated online content in conservation science. Geotagged social media content is a unique source of in situ information on human presence and activities in nature. Photographs posted on social media platforms are a promising source of information, but analyzing large volumes of photographs manually remains laborious. We examined the application of state-of-the-art computer-vision methods to studying human-nature interactions. We used semantic clustering, scene classification, and object detection to automatically analyze photographs taken in Finnish national parks by domestic and international visitors. Our results showed that human-nature interactions can be extracted from user-generated photographs with computer vision. The different methods complemented each other by revealing broad visual themes related to level of the data set, landscape photogeneity, and human activities. Geotagged photographs revealed distinct regional profiles for national parks (e.g., preferences in landscapes and activities), which are potentially useful in park management. Photographic content differed between domestic and international visitors, which indicates differences in activities and preferences. Information extracted automatically from photographs can help identify preferences among diverse visitor groups, which can be used to create profiles of national parks for conservation marketing and to support conservation strategies that rely on public acceptance. The application of computer-vision methods to automatic content analysis of photographs should be explored further in conservation culturomics, particularly in combination with rich metadata available on social media platforms.

Exploración de las Interacciones Humano-Naturaleza en los Parques Nacionales por Medio de Fotografías en Redes Sociales y Visión por Computadora Resumen La comprensión de las actividades y preferencias de los visitantes es crucial para el manejo de las áreas protegidas y la planeación de las estrategias de conservación. La culturomia de la conservación promueve el uso del contenido en línea generado por usuarios en las ciencias de la conservación. El contenido de redes sociales etiquetado geográficamente es una fuente única de información in situ sobre la presencia humana y sus actividades en la naturaleza. Las fotografías publicadas en las redes sociales son una fuente prometedora de información, aunque el análisis manual de grandes volúmenes de fotografías sigue siendo laborioso. Evaluamos la aplicación de algunos métodos de punta de visión por computadora para estudiar las interacciones humano-naturaleza. Usamos agrupaciones semánticas, clasificación de escenas y detección de objetos para analizar automáticamente las fotografías tomadas por visitantes domésticos e internacionales dentro de los parques nacionales finlandeses. Nuestros resultados mostraron que las interacciones humano-naturaleza pueden extraerse de fotografías generadas por usuarios mediante la visión por computadora. Los diferentes métodos se complementaron unos a otros al revelar temas visuales generalizados relacionados con el nivel del conjunto de datos, fotogeneidad del paisaje y las actividades humanas. Las fotografías geoetiquetadas revelaron unos perfiles regionales distintos para los parques nacionales (p. ej.: preferencias en los paisajes y las actividades), que son potencialmente útiles para el manejo de los parques. El contenido fotográfico difirió entre los visitantes domésticos y los internacionales, lo cual indica diferencias en sus actividades y preferencias. La información extraída automáticamente de las fotografías puede ayudar a identificar las preferencias entre los grupos diversos de visitantes, lo cual puede usarse para crear un perfil de cada parque nacional para su uso en el mercadeo de la conservación y para apoyar a las estrategias de conservación que dependen de la aceptación pública. La aplicación de los métodos de visión por computadora al análisis automático de contenido de las fotografías debería explorarse mucho más en la culturomia de la conservación, particularmente en combinación con la riqueza de metadatos disponibles en las plataformas sociales.

Uncovering assets in Brazilian national parks.

Protected areas (PAs) are the cornerstone of global conservation policy and have expanded dramatically over the last century. Though unequivocally beneficial for biodiversity, gazetting land for protecting nature can also be seen as an 'opportunity cost' that some politicians are unwilling to pay. One of the most effective strategies to increase the political resilience of PAs in the face of such threats is to demonstrate their broader value to society. This is one of the objectives of the recently proposed 'PA asset framework'. The framework conceptualizes PAs as being composed of suites of biophysical, human, infrastructure, institutional and cultural assets that interact with individuals and institutions to generate different forms of tangible and intangible value. Here, we test the utility of the framework by conducting an asset-based analysis of Brazilian National Parks (NPs) at two different scales (NP system and NP unit). Assets were identified at the system level through a systematic review of 49 Management Plans (MPs) using a typology of PA asset classes as a tool for characterising the presence and state of assets in or associated with NPs. At the NP unit level, assets were identified through semi-structured interviews with local managers of the Chapada Diamantina National Park. Biophysical and infrastructure assets were the most represented asset classes at both scales. Our analysis successfully revealed: (i) which assets can be managed to generate wider forms of values at local scale (e.g. natural spectacles, iconic species, park volunteers) (ii) relational values between assets (e.g. trails and outdoor recreational features), and (iii) value generating practices (VGPs) to capture values from the interaction between different assets (i.e. restoration of degraded areas through voluntary programmes, etc.). We conclude by discussing how the PA asset framework can be operatively integrated into NP management to improve the future allocation of limited financial resources.

Human-Factor Risk Mitigation in Outdoor Climbing Areas: Survey of Existing Policies in Regulated Climbing Areas.

INTRODUCTION: Popular climbing areas in the United States are frequently on public lands under administrative purview of land management entities. During climbing, climbers may be subject to injury. This study aimed to describe existing climbing risk mitigation tactics used to protect climbers by oversight agencies responsible for these public climbing areas and to identify strategies perceived by the oversight agency to be successful. METHODS: We identified publicly managed US bouldering, sport, or traditional climbing areas through a state-by-state search of Mountain Project. We assessed climbing-related visitation, injury, rescue, and risk mitigation strategies using a 10-item survey targeting land-use managers, rangers, outdoor recreation planners, and park managers. Quantitative analysis included univariate and multivariate analysis. Qualitative analyses of survey responses with thematic grouping of mitigation interventions were performed. RESULTS: One hundred fifty-seven publicly managed US climbing areas were contacted, and 76 (48%) provided data. Thirty-six (47%) of those that provided data stated that programs are in place to reduce climbing-related injury. There were no associations between demographic variables and the presence of risk mitigation strategies. Four themes of climbing risk mitigation strategies emerged: coordination with climbing coalitions (25% of respondents), permitting (22% of respondents), publication of accident reports (22% of respondents), and preventative search and rescue (17% of respondents). CONCLUSIONS: Nearly half of survey respondents reported having climbing risk mitigation programs. There is opportunity to assess the efficacy of risk mitigation strategies through intra-area and inter-area assessments. A centralized climbing injury database may prove useful for assessing the efficacy of and need for risk mitigation techniques.

Ungulate management in European national parks: Why a more integrated European policy is needed.

1. Primary objectives of national parks usually include both, the protection of natural processes and species conservation. When these objectives conflict, as occurs because of the cascading effects of large mammals (i.e., ungulates and large carnivores) on lower trophic levels, park managers have to decide upon the appropriate management while considering various local circumstances. 2. To analyse if ungulate management strategies are in accordance with the objectives defined for protected areas, we assessed the current status of ungulate management across European national parks using the naturalness concept and identified the variables that influence the management. 3. We collected data on ungulate management from 209 European national parks in 29 countries by means of a large-scale questionnaire survey. Ungulate management in the parks was compared by creating two naturalness scores. The first score reflects ungulate and large carnivore species compositions, and the second evaluates human intervention on ungulate populations. We then tested whether the two naturalness score categories are influenced by the management objectives, park size, years since establishment, percentage of government-owned land, and human impact on the environment (human influence index) using two generalized additive mixed models. 4. In 67.9% of the national parks, wildlife is regulated by culling (40.2%) or hunting (10.5%) or both (17.2%). Artificial feeding occurred in 81.3% of the national parks and only 28.5% of the national parks had a non-intervention zone covering at least 75% of the area. Furthermore, ungulate management differed greatly among the different countries, likely because of differences in hunting traditions and cultural and political backgrounds. Ungulate management was also influenced by park size, human impact on the landscape, and national park objectives, but after removing these variables from the full model the reduced models only showed a small change in the deviance explained. In areas with higher anthropogenic pressure, wildlife diversity tended to be lower and a higher number of domesticated species tended to be present. Human intervention (culling and artificial feeding) was lower in smaller national parks and when park objectives followed those set by the International Union for the Conservation of Nature (IUCN). 5. Our study shows that many European national parks do not fulfil the aims of protected area management as set by IUCN guidelines. In contrast to the USA and Canada, Europe currently has no common ungulate management policy within national parks. This lack of a common policy together with differences in species composition, hunting traditions, and cultural or political context has led to differences in ungulate management among European countries. To fulfil the aims and objectives of national parks and to develop ungulate management strategies further, we highlight the importance of creating a more integrated European ungulate management policy to meet the aims of national parks.

Using social media to estimate visitor provenance and patterns of recreation in Germany's national parks.

Social media data are increasingly utilised as a low-cost alternative to visitor surveys in characterising nature-based recreation. However, the information available on individual users is limited and typically does not include provenance, restricting the potential applications and impact of the data. Here we investigate a methodology to estimate social media visitors' home locations at various spatial scales and apply it to the entire network of national parks in Germany. We compare predicted visitor provenance to representative onsite survey data and explore group-specific spatial and temporal patterns of recreation as characterised by users' geotagged photographs. Results show that photograph metadata can be used to assign home locations with accuracies between 62 and 89% depending on spatial scale implemented. Said social media-based predictions are reasonably well representative of the surveyed visitor structure in German national parks with Flickr visitor-days composed of 19% local, 62% non-local German and 19% international visits.

Perceptions and Behaviors of Indigenous Populations Regarding Illegal Use of Protected Area Resources in East Africa's Mountain Gorilla Landscape.

Illegal activities and use of park resources are the main challenges facing mountain gorilla (Gorilla beringei beringei) conservation and the protection of their habitats in the East Africa's Greater Virunga Transboundary Landscape (GVTL). Indigenous residents around GVTL are considered the primary illegal users of park resources. Despite this, there is limited understanding of the current and past perceptions of indigenous residents living in communities adjacent to two GVTL parks; Volcanoes National Park in Rwanda and Mgahinga Gorilla National Park in Uganda. Equally, there is also limited understanding regarding the actual incidences of illegal activities inside both parks. This paper addresses these gaps. Perception data were collected from indigenous residents living adjacent to both parks. Further, Ranger-based Monitoring (RbM) data from both parks were analyzed to determine actual numbers and types of illegal activities over the 9-year period. Interestingly, findings indicated that residents perceived the prevalence of illegal activities to be decreasing across GVTL. To the contrary, RbM findings indicated that the number of actual illegal activities was increasing significantly, particularly in Volcanoes National Park. The discrepancy found between the two perspectives provides for a discussion of the social biases potentially present in these data, and their implications for management. Results also illuminated the subsistence-related nature of most illegal behaviors and suggest that to reduce illegal activities and local dependency on park resources, park management must work with communities and support them in tapping into alternative livelihoods and finding ways to address community household subsistence needs.