Management and Land Cover Changes in the Western Carpathian Traditional Orchard Landscape in the Period after 1948

In Slovakia, traditional orchards, like other European rural landscapes and their agricultural systems, are at long-term risk from changes in land use and management. We focused on this issue in the Nová Baňa dispersed settlement region (central Slovakia), which contains numerous traditional orchards. Management changes over the period 1949–2017 were evaluated on the basis of structured interviews conducted with the owners of 63 traditional orchards. Management measures were evaluated separately for 1949, 1970, 1991, 2000, 2007 and 2017. These data were supplemented by data on land cover over time, with an emphasis on orchards, evaluated for the years 1949, 1976, 1991 and 2017 using historical orthophoto maps. Traditional orchard management included mowing, grazing, plowing, fertilizing, and litter raking. By 2017, the management regime had changed in 92% of orchards. The use of plowing and grazing in orchards decreased, and the use of mulching has increased since 2000. From 1949 to 2017, the number of identifiable management regimes doubled; regimes consisting of a single management measure appeared, while regimes of multiple management measures decreased in frequency. Between 1949 and 2017, there was a total decrease of 38.36% in the area of traditional orchards; 31.62% of orchards remained unchanged. The largest decrease was caused by orchard conversion into grasslands (18.93%), forests (13.81%), shrubs (9.42%) and urbanized areas (8.87%).

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The Characteristics of Five Food Production Systems and Their Implications for Sustainable Landscapes

Journal of Agricultural Science ◽

10.5539/jas.v10n2p23 ◽

2018 ◽

Vol 10 (2) ◽

pp. 23

Author(s):

Robert P. Burdock ◽

Peter Ampt

Keyword(s):

Food Production ◽

Production Systems ◽

Farming Systems ◽

Agricultural Systems ◽

Environmental Complexity ◽

Industrial Systems ◽

Rural Landscapes ◽

Sustainability Principles

This paper presents a classification of agricultural production systems that we believe characterises the complex interface between agriculture and the landscapes in which they are managed. Farmers have a choice about how they will manage their land, either to exclude inherent environmental complexity or to engage with it, mindful of risks associated with their approach. Adding to this complexity is the interplay between key natural, social, human, physical and financial resources in agricultural systems, highlighting the importance of extending sustainability principles to aspects of ecology, economics and culture. Decisions about agricultural systems hinge on a balance of productive outcomes, on sensitivity to the issues of environmental complexity, on economic grounds including the access to resources, and the socio-cultural needs of the community in which the farmer participates. Further, farm managers will make a choice that both satisfies and suffices (satisfices) against production, ecological efficiencies and resilience outcomes when choosing which food production system to adopt. In this paper, these complexities are analysed against five different agricultural systems on an ecological continuum; from biologically simple industrial systems that minimise interaction with the natural environment, to ecologically complex systems that are closely engaged with their environment. Production viability is a necessary consideration to maintain farming operations but is not sufficient if operational capacity is to be achieved in the long term. This analysis finds that it is also necessary to work with ecological, economic and social complexities, satisficing against productivity, ecological efficiency and inherit system resilience. No one particular farming systems is appropriate in all cases. The farmer’s choice may apply a mix of the five different agricultural systems described, allowing for the blending of these attributes in order to sustain rural landscapes.

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Integration of Digital Preservation Knowledge, Skills and Competencies in the Teaching Curricula of Library and Information Studies at the University of Botswana

Mousaion ◽

10.25159/2663-659x/6436 ◽

2019 ◽

Vol 37 (1) ◽

Cited By ~ 1

Author(s):

Thatayaone Segaetsho ◽

Julie Moloi

Keyword(s):

Digital Preservation ◽

Records Management ◽

Structured Interviews ◽

University Of Botswana ◽

Current Trends ◽

Teaching Content ◽

Library And Information Studies ◽

Information Studies ◽

The University

In the past few decades, digital technology has found a place in the acquisition, arrangement, description, preservation, and dissemination of information. However, heritage institutions are perturbed by the challenges of digital preservation strategies particularly for education. Despite continuous investment in digital preservation, there are limited skilled professionals to equip learners with the knowledge, skills and competencies required to drive digital preservation in Botswana. Therefore, this paper investigated the knowledge, skills and competencies related to digital preservation in the teaching curricula of the Department of Library and Information Studies (DLIS) at the University of Botswana. Data collection was done through intensive structured interviews with specific educators who teach courses on digital preservation in the archives and records management stream. The study revealed that despite the fact that the educators in preservation courses are aware of current trends in digital preservation, most of them have not obtained formal degree certification specific to digital preservation. The findings further revealed that minimal digital preservation competencies are observed in the teaching curricula. A significant number of challenges observed illustrated mainly a lack of resources and limited skills in terms of practical demonstrations by educators. The curricula mostly lacked clarity on long-term and short-term digital preservation. The study recommends that DLIS and other institutions should conduct surveys or curriculum auditing on digital preservation in order to improve the teaching content. A significant number of shortcomings regarding digital preservation that could motivate further studies are also discussed under the conclusion and recommendations section of this study.

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Soil erosion by snow gliding – a first quantification attempt in a subalpine area in Switzerland

Hydrology and Earth System Sciences ◽

10.5194/hess-18-3763-2014 ◽

2014 ◽

Vol 18 (9) ◽

pp. 3763-3775 ◽

Cited By ~ 9

Author(s):

K. Meusburger ◽

G. Leitinger ◽

L. Mabit ◽

M. H. Mueller ◽

A. Walter ◽

...

Keyword(s):

Land Use ◽

Soil Erosion ◽

Land Cover ◽

Sediment Yield ◽

Soil Loss ◽

Water Erosion ◽

Erosion Rates ◽

The Difference ◽

Snow Gliding

Abstract. Snow processes might be one important driver of soil erosion in Alpine grasslands and thus the unknown variable when erosion modelling is attempted. The aim of this study is to assess the importance of snow gliding as a soil erosion agent for four different land use/land cover types in a subalpine area in Switzerland. We used three different approaches to estimate soil erosion rates: sediment yield measurements in snow glide depositions, the fallout radionuclide 137Cs and modelling with the Revised Universal Soil Loss Equation (RUSLE). RUSLE permits the evaluation of soil loss by water erosion, the 137Cs method integrates soil loss due to all erosion agents involved, and the measurement of snow glide deposition sediment yield can be directly related to snow-glide-induced erosion. Further, cumulative snow glide distance was measured for the sites in the winter of 2009/2010 and modelled for the surrounding area and long-term average winter precipitation (1959–2010) with the spatial snow glide model (SSGM). Measured snow glide distance confirmed the presence of snow gliding and ranged from 2 to 189 cm, with lower values on the north-facing slopes. We observed a reduction of snow glide distance with increasing surface roughness of the vegetation, which is an important information with respect to conservation planning and expected and ongoing land use changes in the Alps. Snow glide erosion estimated from the snow glide depositions was highly variable with values ranging from 0.03 to 22.9 t ha−1 yr−1 in the winter of 2012/2013. For sites affected by snow glide deposition, a mean erosion rate of 8.4 t ha−1 yr−1 was found. The difference in long-term erosion rates determined with RUSLE and 137Cs confirms the constant influence of snow-glide-induced erosion, since a large difference (lower proportion of water erosion compared to total net erosion) was observed for sites with high snow glide rates and vice versa. Moreover, the difference between RUSLE and 137Cs erosion rates was related to the measured snow glide distance (R2 = 0.64; p < 0.005) and to the snow deposition sediment yields (R2 = 0.39; p = 0.13). The SSGM reproduced the relative difference of the measured snow glide values under different land uses and land cover types. The resulting map highlighted the relevance of snow gliding for large parts of the investigated area. Based on these results, we conclude that snow gliding appears to be a crucial and non-negligible process impacting soil erosion patterns and magnitude in subalpine areas with similar topographic and climatic conditions.

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“I’ve Heard of It, Yes, but I Can’t Remember What Exactly It Was”—A Qualitative Study on Awareness, Knowledge, and Use of the UV Index

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18041615 ◽

2021 ◽

Vol 18 (4) ◽

pp. 1615

Author(s):

Katharina Diehl ◽

Tatiana Görig ◽

Charlotte Jansen ◽

Maike Carola Hruby ◽

Annette B. Pfahlberg ◽

...

Keyword(s):

Qualitative Study ◽

Qualitative Content Analysis ◽

Sun Protection ◽

Structured Interviews ◽

Protection Factor ◽

Protection Measures ◽

Uv Index ◽

Correct Definition ◽

Definition Of

Pharmacists and pharmaceutical technicians play an important role in counselling customers regarding sunscreen use and sun protection measures. A potentially helpful tool that can be used during counselling is the ultraviolet index (UVI), which informs individuals when and what sun protection measures are needed at a specific place and time. Our aim in this qualitative study was to explore awareness, knowledge, and use of the UVI during counselling in pharmacies. We used semi-structured interviews with pharmacists and pharmaceutical technicians (n = 20) to answer our research questions. Interviews were audiotaped, transcribed verbatim, and analyzed using qualitative content analysis. During the interviews pharmacists and pharmaceutical technicians revealed a lot of uncertainty and lack of knowledge regarding the UVI. Eight professionals were able to give a correct definition of UVI. Amongst others, the UVI was confused with sun protection factor. Overall, the UVI was hardly used during the counselling of customers. The UVI was developed to provide guidance when which type of sun protection is required to avoid detrimental effects of ultraviolet radiation. For effective implementation, both the general population and health professionals (e.g., pharmacists) have to increase their knowledge about the UVI. This would strengthen its use during professional counselling in pharmacies and may help to reduce the incidence of skin cancer over the long term.

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Cropland Abandonment in Slovakia: Analysis and Comparison of Different Data Sources

Land ◽

10.3390/land10040334 ◽

2021 ◽

Vol 10 (4) ◽

pp. 334

Author(s):

Juraj Lieskovský ◽

Dana Lieskovská

Keyword(s):

Land Use ◽

Land Cover ◽

Spatial Data ◽

Data Sources ◽

Communist Regime ◽

Corine Land Cover ◽

Cropland Area ◽

Cropland Abandonment ◽

Multi Temporal

This study compares different nationwide multi-temporal spatial data sources and analyzes the cropland area, cropland abandonment rates and transformation of cropland to other land cover/land use categories in Slovakia. Four multi-temporal land cover/land use data sources were used: The Historic Land Dynamics Assessment (HILDA), the Carpathian Historical Land Use Dataset (CHLUD), CORINE Land Cover (CLC) data and Landsat images classification. We hypothesized that because of the different spatial, temporal and thematic resolution of the datasets, there would be differences in the resulting cropland abandonment rates. We validated the datasets, compared the differences, interpreted the results and combined the information from the different datasets to form an overall picture of long-term cropland abandonment in Slovakia. The cropland area increased until the Second World War, but then decreased after transition to the communist regime and sharply declined following the 1989 transition to an open market economy. A total of 49% of cropland area has been transformed to grassland, 34% to forest and 15% to urban areas. The Historical Carpathian dataset is the more reliable long-term dataset, and it records 19.65 km2/year average cropland abandonment for 1836–1937, 154.44 km2/year for 1938–1955 and 140.21 km2/year for 1956–2012. In comparison, the Landsat, as a recent data source, records 142.02 km2/year abandonment for 1985–2000 and 89.42 km2/year for 2000–2010. These rates, however, would be higher if the dataset contained urbanisation data and more precise information on afforestation. The CORINE Land Cover reflects changes larger than 5 ha, and therefore the reported cropland abandonment rates are lower.

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Domain Adaptation for Semantic Segmentation of Historical Panchromatic Orthomosaics in Central Africa

ISPRS International Journal of Geo-Information ◽

10.3390/ijgi10080523 ◽

2021 ◽

Vol 10 (8) ◽

pp. 523

Author(s):

Nicholus Mboga ◽

Stefano D’Aronco ◽

Tais Grippa ◽

Charlotte Pelletier ◽

Stefanos Georganos ◽

...

Keyword(s):

Land Cover ◽

Domain Adaptation ◽

Central Africa ◽

Semantic Segmentation ◽

Target Domain ◽

Convolutional Networks ◽

Fully Convolutional Networks ◽

The Cost ◽

Performance Gains

Multitemporal environmental and urban studies are essential to guide policy making to ultimately improve human wellbeing in the Global South. Land-cover products derived from historical aerial orthomosaics acquired decades ago can provide important evidence to inform long-term studies. To reduce the manual labelling effort by human experts and to scale to large, meaningful regions, we investigate in this study how domain adaptation techniques and deep learning can help to efficiently map land cover in Central Africa. We propose and evaluate a methodology that is based on unsupervised adaptation to reduce the cost of generating reference data for several cities and across different dates. We present the first application of domain adaptation based on fully convolutional networks for semantic segmentation of a dataset of historical panchromatic orthomosaics for land-cover generation for two focus cities Goma-Gisenyi and Bukavu. Our experimental evaluation shows that the domain adaptation methods can reach an overall accuracy between 60% and 70% for different regions. If we add a small amount of labelled data from the target domain, too, further performance gains can be achieved.

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Classification of Very-High-Spatial-Resolution Aerial Images Based on Multiscale Features with Limited Semantic Information

Remote Sensing ◽

10.3390/rs13030364 ◽

2021 ◽

Vol 13 (3) ◽

pp. 364

Author(s):

Han Gao ◽

Jinhui Guo ◽

Peng Guo ◽

Xiuwan Chen

Keyword(s):

Deep Learning ◽

Land Cover ◽

Spatial Resolution ◽

Large Scale ◽

High Spatial Resolution ◽

Training Data ◽

Aerial Images ◽

Rural Landscapes ◽

Feature Representations ◽

Object Based

Recently, deep learning has become the most innovative trend for a variety of high-spatial-resolution remote sensing imaging applications. However, large-scale land cover classification via traditional convolutional neural networks (CNNs) with sliding windows is computationally expensive and produces coarse results. Additionally, although such supervised learning approaches have performed well, collecting and annotating datasets for every task are extremely laborious, especially for those fully supervised cases where the pixel-level ground-truth labels are dense. In this work, we propose a new object-oriented deep learning framework that leverages residual networks with different depths to learn adjacent feature representations by embedding a multibranch architecture in the deep learning pipeline. The idea is to exploit limited training data at different neighboring scales to make a tradeoff between weak semantics and strong feature representations for operational land cover mapping tasks. We draw from established geographic object-based image analysis (GEOBIA) as an auxiliary module to reduce the computational burden of spatial reasoning and optimize the classification boundaries. We evaluated the proposed approach on two subdecimeter-resolution datasets involving both urban and rural landscapes. It presented better classification accuracy (88.9%) compared to traditional object-based deep learning methods and achieves an excellent inference time (11.3 s/ha).

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Which triggers could support timely identification of primary antibody deficiency? A qualitative study using the patient perspective

Orphanet Journal of Rare Diseases ◽

10.1186/s13023-021-01918-x ◽

2021 ◽

Vol 16 (1) ◽

Author(s):

Lisanne M. A. Janssen ◽

Kim van den Akker ◽

Mohamed A. Boussihmad ◽

Esther de Vries

Keyword(s):

Respiratory Infections ◽

Diagnostic Delay ◽

Signs And Symptoms ◽

Negative Influence ◽

Primary Antibody ◽

Emotional Impact ◽

Structured Interviews ◽

Timely Treatment ◽

The Way

Abstract Background Patients with predominantly (primary) antibody deficiencies (PADs) commonly develop recurrent respiratory infections which can lead to bronchiectasis, long-term morbidity and increased mortality. Recognizing symptoms and making a diagnosis is vital to enable timely treatment. Studies on disease presentation have mainly been conducted using medical files rather than direct contact with PAD patients. Our study aims to analyze how patients appraised their symptoms and which factors were involved in a decision to seek medical care. Methods 14 PAD-patients (11 women; median 44, range 16-68 years) were analyzed using semi-structured interviews until saturation of key emergent themes was achieved. Results Being always ill featured in all participant stories. Often from childhood onwards periods of illness were felt to be too numerous, too bad, too long-lasting, or antibiotics were always needed to get better. Recurrent or persistent respiratory infections were the main triggers for patients to seek care. All participants developed an extreme fatigue, described as a feeling of physical and mental exhaustion and thus an extreme burden on daily life that was not solved by taking rest. Despite this, participants tended to normalize their symptoms and carry on with usual activities. Non-immunologists, as well as patients, misattributed the presenting signs and symptoms to common, self-limiting illnesses or other ‘innocent’ explanations. Participants in a way understood the long diagnostic delay. They know that the disease is rare and that doctors have to cover a broad medical area. But they were more critical about the way the doctors communicate with them. They feel that doctors often don’t listen very well to their patients. The participants’ symptoms as well as the interpretation of these symptoms by their social environment and doctors had a major emotional impact on the participants and a negative influence on their future perspectives. Conclusions To timely identify PAD, ‘pattern recognition’ should not only focus on the medical ‘red flags’, but also on less differentiating symptoms, such as ‘being always ill’ and ‘worn out’ and the way patients cope with these problems. And, most important, making time to really listen to the patient remains the key.

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Ethnobotanical biocultural diversity by rural communities in the Cuatrociénegas Valley, Coahuila; Mexico

Journal of Ethnobiology and Ethnomedicine ◽

10.1186/s13002-021-00445-0 ◽

2021 ◽

Vol 17 (1) ◽

Author(s):

Eduardo Estrada-Castillón ◽

José Ángel Villarreal-Quintanilla ◽

Juan Antonio Encina-Domínguez ◽

Enrique Jurado-Ybarra ◽

Luis Gerardo Cuéllar-Rodríguez ◽

...

Keyword(s):

Rural Communities ◽

Exotic Species ◽

Protected Area ◽

Indigenous Communities ◽

Larrea Tridentata ◽

Biocultural Diversity ◽

Ethnobotanical Knowledge ◽

Structured Interviews ◽

Biosphere Reserves ◽

Rural Landscapes

Abstract Background Cuatrociénegas, part of the Chihuahuan Desert, is a region of unique biological, geological, geographical, and evolutionary importance. Its current population is mestizo; nevertheless, it has high national historical, cultural, and touristic relevance in Mexico. It has been cataloged as nationally significant for its flora and fauna by Mexican law, as well as being designated a High Protection site by the World Wildlife Fund and UNESCO. Because of its diverse and complex biological and sociocultural characteristics, we considered it important to determine, identify, and analyze various aspects of the traditional ethnobotanical knowledge and practices in this region. Methods Between 2016 and 2019, seven field trips were made to document the knowledge and use of flora. Cuatrociénegas is a protected area, collecting botanical material is regulated, so specimens were photographed and collected in neighboring communities, and in public and private gardens. Later permission was obtained to complete the collection of specimens (2019–2020). The plants were identified and entered into the flora database of the state of Coahuila, and deposited in the Herbarium of the Faculty of Forest Sciences, Autonomous University of Nuevo León, Mexico. One hundred ten local residents (50 men and 60 women), aged between 27 and 91 years, were interviewed (semi-structured interviews). The cultural importance of ethnobotanical resources (cultural significance index) and its significance with respect to ethnobotanical richness in other Biosphere Reserves in Mexico (Mann-Whitney test), and similarities in the diversity of exotic species (Sørensen index) were studied. Results and discussion The ethnobotanical information registers 158 species and 132 genera in 57 vascular and non-vascular families, documenting a greater knowledge and use of cultivated species (84) with respect to wild species (74). The diversity of plants reported is compared to other ethnobotanical studies carried out in Mexican Biosphere Reserves. These results are highly relevant, in spite of unique exotic species. The people local pay special attention to medicinal and ornamental plants. The species that presented the highest use values are Larrea tridentata, Jatropha dioica, and Machaeranthera pinnatifida, three species characteristic of the desert region. Conclusions The particular diversity of wild flora in Cuatrociénegas Valley, combined with the varied introduced flora, is an important multifunctional resource. Special attention to introduced species is associated with harvesting use restrictions in the protected area as well as the high value of ornamental species that are difficult to maintain in desert areas. The extensive use of ethnobotanical knowledge is an example that biocultural diversity (at the conceptual level) is also strongly associated with socio-ecological systems incorporating mestizo groups and semi-urban rural landscapes, thus ceasing to be an exclusive focus of indigenous communities and regions.

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“We Are Doing These Things So That People Will Not Laugh at Us”: Caregivers’ Attitudes About Dementia and Caregiving in Nigeria

Qualitative Health Research ◽

10.1177/10497323211004105 ◽

2021 ◽

pp. 104973232110041

Author(s):

Candidus C. Nwakasi ◽

Kate de Medeiros ◽

Foluke S. Bosun-Arije

Keyword(s):

The United States ◽

Structured Interviews ◽

Dementia Caregivers ◽

Term Care ◽

Awareness Campaigns ◽

Knowledge Deficit ◽

People With Dementia ◽

Qualitative Descriptive ◽

The Impact

Some Nigerians, in their effort to make sense of dementia symptoms, use descriptions that may stigmatize people with dementia and their families. This qualitative descriptive study focused on the everyday understanding of dementia and the impact of stigma on the caregiving experiences of informal female Nigerian dementia caregivers. Semi-structured interviews were conducted with a purposive sample of 12 adult informal female caregivers in Nigeria and analyzed for themes. Afterward, results were presented to focus groups of 21 adult Nigerians residing in the United States for more contextual insight on the findings. The three major themes were misconceptions about dementia symptoms, caregiving protects against stigmatization, and stigma affects caregiving support. Overall, we argue that knowledge deficit, poor awareness, and traditional spiritual beliefs combine to drive dementia-related stigmatization in Nigeria. Strategies such as culturally appropriate dementia awareness campaigns and formal long-term care policies are urgently needed to help strengthen informal dementia caregiving in Nigeria.

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