Translating land cover/land use classifications to habitat taxonomies for landscape monitoring: A Mediterranean assessment

Periodic monitoring of biodiversity changes at a landscape scale constitutes a key issue for conservation managers. Earth observation (EO) data offer a potential solution, through direct or indirect mapping of species or habitats. Most national and international programs rely on the use of land cover (LC) and/or land use (LU) classification systems. Yet, these are not as clearly relatable to biodiversity in comparison to habitat classifications, and provide less scope for monitoring. While a conversion from LC/LU classification to habitat classification can be of great utility, differences in definitions and criteria have so far limited the establishment of a unified approach for such translation between these two classification systems. Focusing on five Mediterranean NATURA 2000 sites, this paper considers the scope for three of the most commonly used global LC/LU taxonomies—CORINE Land Cover, the Food and Agricultural Organisation (FAO) land cover classification system (LCCS) and the International Geosphere-Biosphere Programme to be translated to habitat taxonomies. Through both quantitative and expert knowledge based qualitative analysis of selected taxonomies, FAO-LCCS turns out to be the best candidate to cope with the complexity of habitat description and provides a framework for EO and in situ data integration for habitat mapping, reducing uncertainties and class overlaps and bridging the gap between LC/LU and habitats domains for landscape monitoring—a major issue for conservation. This study also highlights the need to modify the FAO-LCCS hierarchical class description process to permit the addition of attributes based on class-specific expert knowledge to select multi-temporal (seasonal) EO data and improve classification. An application of LC/LU to habitat mapping is provided for a coastal Natura 2000 site with high classification accuracy as a result

Autologous Lipotransfer for Bone Defects Secondary to Osteomyelitis

Autologous bone grafting is the gold standard in patients with bone defects but is associated with significant pain and donor site morbidity. Autologous lipotransfer (fat grafting or lipofilling) has become very popular in the therapy of chronic wounds. Mesenchymal stem cells from adipose tissue are known for their regenerative, reparative, and immunomodulatory effects. This case study and review evaluates the use of autologous lipotransfer for chronic osteomyelitis in a 26‐year‐old patient. A 26‐year‐old female suffering from chronic tibial osteomyelitis was initially treated with surgical debridement and antibiotics followed by lipoharvest and autologous lipofilling. MRI and computed tomography scans were performed at 2 and 6 weeks and 6 months postoperatively. A formal systematic review of clinical trials investigating autologous lipotransfer for osteomyelitis was conducted. The patient remained asymptomatic without recurrence, and the bone defect cavity showed vascularised adipose tissue after 6 weeks, with early signs of osteogenesis. The highest foot and ankle disability index was 100. The systematic review identified 266 studies after duplicates were removed. After screening for eligibility, seven manuscripts were further assessed, with none meeting the inclusion criteria. This is the first study to report the successful use of autologous lipotransfer with early signs of osteogenesis in a patient suffering from chronic osteomyelitis. Autologous lipotransfer is relatively simple, safe, and minimally invasive, making it a potential alternative to current treatments. Further research is required to assess the safety, feasibility, and efficacy of autologous fat grafting and the mechanism of osteogenesis

Human movement data for malaria control and elimination strategic planning

ABSTRACT: Recent increases in funding for malaria control have led to the reduction in transmission in many malaria endemic countries, prompting the national control programmes of 36 malaria endemic countries to set elimination targets. Accounting for human population movement (HPM) in planning for control, elimination and post-elimination surveillance is important, as evidenced by previous elimination attempts that were undermined by the reintroduction of malaria through HPM. Strategic control and elimination planning, therefore, requires quantitative information on HPM patterns and the translation of these into parasite dispersion. HPM patterns and the risk of malaria vary substantially across spatial and temporal scales, demographic and socioeconomic sub-groups, and motivation for travel, so multiple data sets are likely required for quantification of movement. While existing studies based on mobile phone call record data combined with malaria transmission maps have begun to address within-country HPM patterns, other aspects remain poorly quantified despite their importance in accurately gauging malaria movement patterns and building control and detection strategies, such as cross-border HPM, demographic and socioeconomic stratification of HPM patterns, forms of transport, personal malaria protection and other factors that modify malaria risk. A wealth of data exist to aid filling these gaps, which, when combined with spatial data on transport infrastructure, traffic and malaria transmission, can answer relevant questions to guide strategic planning. This review aims to (i) discuss relevant types of HPM across spatial and temporal scales, (ii) document where datasets exist to quantify HPM, (iii) highlight where data gaps remain and (iv) briefly put forward methods for integrating these datasets in a Geographic Information System (GIS) framework for analysing and modelling human population and Plasmodium falciparum malaria infection movements