A matter of ephemerality: The study of Kel Tadrart Tuareg (southwest Libya) campsites via quantitative spatial analysis.

We examined the settlement structure from the Kel Tadrart Tuareg, a small pastoral society from southwest Libya. Our objective was to apply spatial analysis to establish the statistical significance of specific patterns in the settlement layout. In particular, we examined whether there is a separation between domestic and livestock spaces, and whether particular residential features dedicated to guests are spatially isolated. We used both established statistical techniques and newly developed bespoke analyses to test our hypotheses, and then discuss the results in the light of possible applications to other case studies.SP2016http://www.ecologyandsociety.org/vol21/iss1/art42

High and medium resolution satellite imagery to evaluate late holocene human-environment interactions in arid lands: A case study from the Central Sahara.

We present preliminary results of an Earth observation approach for the study of past human occupation and landscape reconstruction in the Central Sahara. This region includes a variety of geomorphological features such as palaeo-oases, dried river beds, alluvial fans and upland plateaux whose geomorphological characteristics, in combination with climate changes, have influenced patterns of human dispersal and sociocultural activities during the late Holocene. In this paper, we discuss the use of medium- and high-resolution remotely sensed data for the mapping of anthropogenic features and paleo- and contemporary hydrology and vegetation. In the absence of field inspection in this inaccessible region, we use different remote sensing methods to first identify and classify archaeological features, and then explore the geomorphological factors that might have influenced their spatial distribution.EM201

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time, and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space. While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes, vast areas of the tropics remain understudied. In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity, but it remains among the least known forests in America and is often underrepresented in biodiversity databases. To worsen this situation, human-induced modifications may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge, it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Developing transdisciplinary approaches to sustainability challenges: the need to model socio-environmental systems in the longue durée

Human beings are an active component of every terrestrial ecosystem on Earth. Although our local impact on the evolution of these ecosystems has been undeniable and extensively documented, it remains unclear precisely how our activities are altering them, in part because ecosystems are dynamic systems structured by complex, non-linear feedback processes and cascading effects. We argue that it is only by studying human–environment interactions over timescales that greatly exceed the lifespan of any individual human (i.e., the deep past or longue durée), we can hope to fully understand such processes and their implications. In this article, we identify some of the key challenges faced in integrating long-term datasets with those of other areas of sustainability science, and suggest some useful ways forward. Specifically, we (a) highlight the potential of the historical sciences for sustainability science, (b) stress the need to integrate theoretical frameworks wherein humans are seen as inherently entangled with the environment, and (c) propose formal computational modelling as the ideal platform to overcome the challenges of transdisciplinary work across large, and multiple, geographical and temporal scales. Our goal is to provide a manifesto for an integrated scientific approach to the study of socio-ecological systems over the long term

Polymyxin-B hemoperfusion in septic patients: analysis of a multicenter registry

Background: In 2010, the EUPHAS 2 collaborative group created a registry with the purpose of recording data from critically ill patients suffering from severe sepsis and septic shock treated with polymyxin-B hemoperfusion (PMX-HP) for endotoxin removal. The aim of the registry was to verify the application of PMX-HP in the daily clinical practice. Methods: The EUPHAS 2 registry involved 57 centers between January 2010 and December 2014, collecting retrospective data of 357 patients (297 in Europe and 60 in Asia) suffering from severe sepsis and septic shock caused by proved or suspected infection related to Gram negative bacteria. All patients received atleast one cycle of extracorporeal endotoxin removal by PMX-HP. Results: Septic shock was diagnosed in 305 (85.4\ua0%) patients. The most common source of infection was abdominal (44.0\ua0%) followed by pulmonary (17.6\ua0%). Gram negative bacteria represented 60.6\ua0% of the pathogens responsible of infection. After 72\ua0h from the first cycle of PMX-HP, some of the SOFA score components significantly improved with respect to baseline: cardiovascular (2.16\ua0\ub1\ua01.77 from 3.32\ua0\ub1\ua01.29, p\ua0<\ua00.0001), respiratory (1.95\ua0\ub1\ua00.95 from 2.40\ua0\ub1\ua01.06, p\ua0<\ua00.001) and renal (1.84\ua0\ub1\ua01.77 from 2.23\ua0\ub1\ua01.62, p\ua0=\ua00.013). Overall 28-day survival rate was 54.5\ua0% (60.4\ua0% in abdominal and 47.5\ua0% in pulmonary infection). Patients with abdominal infection treated with PMX-HP within 24\ua0h from the diagnosis of septic shock had a 28-day survival rate of 64.5\ua0%. Patients showing a significantly cardiovascular improvement after PMX-HP had a 28-survival rate of 75\ua0% in comparison to the 39\ua0% of patients who did not (p\ua0<\ua00.001). Cox regression analysis found the variation of cardiovascular, respiratory and coagulation SOFA to be independent covariates for 28-day survival. In European patients were observed a higher 28-day (58.8 vs. 34.5\ua0%, p\ua0=\ua00.003), ICU (59 vs. 36.7\ua0%, p\ua0=\ua00.006) and hospital survival rate (53.2 vs. 35\ua0%, p\ua0=\ua00.02) than in Asian patients. However, the two populations were highly heterogeneous in terms of source of infection and severity scores at admission. Conclusion: The EUPHAS 2 is the largest registry conducted outside Japan on the clinical use of PMX-HP in septic patients. Data analysis confirmed the feasibility of PMX-HP to treat septic patients in daily clinical practice, showing clinical benefits associated with endotoxin removal without significant adverse events related to the extracorporeal technique. \ua9 2016, The Author(s)