Dataset Information

Spatial distribution of arable and abandoned land across former Soviet Union countries.

ABSTRACT: Knowledge of the spatial distribution of agricultural abandonment following the collapse of the Soviet Union is highly uncertain. To help improve this situation, we have developed a new map of arable and abandoned land for 2010 at a 10 arc-second resolution. We have fused together existing land cover and land use maps at different temporal and spatial scales for the former Soviet Union (fSU) using a training data set collected from visual interpretation of very high resolution (VHR) imagery. We have also collected an independent validation data set to assess the map accuracy. The overall accuracies of the map by region and country, i.e. Caucasus, Belarus, Kazakhstan, Republic of Moldova, Russian Federation and Ukraine, are 90±2%, 84±2%, 92±1%, 78±3%, 95±1%, 83±2%, respectively. This new product can be used for numerous applications including the modelling of biogeochemical cycles, land-use modelling, the assessment of trade-offs between ecosystem services and land-use potentials (e.g., agricultural production), among others.

SUBMITTER: Lesiv M

PROVIDER: S-EPMC5881411 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature

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Spatial distribution of arable and abandoned land across former Soviet Union countries.

Lesiv Myroslava M Schepaschenko Dmitry D Moltchanova Elena E Bun Rostyslav R Dürauer Martina M Prishchepov Alexander V AV Schierhorn Florian F Estel Stephan S Kuemmerle Tobias T Alcántara Camilo C Kussul Natalia N Shchepashchenko Maria M Kutovaya Olga O Martynenko Olga O Karminov Viktor V Shvidenko Anatoly A Havlik Petr P Kraxner Florian F See Linda L Fritz Steffen S

Scientific data 20180403

Knowledge of the spatial distribution of agricultural abandonment following the collapse of the Soviet Union is highly uncertain. To help improve this situation, we have developed a new map of arable and abandoned land for 2010 at a 10 arc-second resolution. We have fused together existing land cover and land use maps at different temporal and spatial scales for the former Soviet Union (fSU) using a training data set collected from visual interpretation of very high resolution (VHR) imagery. We ...[more]

PMID: 29611843

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Project description:BackgroundThere is unfinished reform in primary care in Russia and other former Soviet Union (FSU) countries. The traditional 'Semashko' multi-specialty polyclinic model has been retained, while its major characteristics are increasingly questioned. The search for a new model is on a health policy agenda. It is relevant for many other countries.ObjectivesIn this paper, we explore the strengths and weaknesses of the multi-specialty polyclinic model currently found in Russia and other FSU countries, as well as the features of the emerging multi-disciplinary and large-scale primary care models internationally. The comparison of the two is a major research question. Health policy implications are discussed.MethodsWe use data from two physicians' surveys and recent literature to identify the characteristics of multi-specialty polyclinics, indicators of their performance and the evaluation in the specific country context. The review of the literature is used to describe new primary care models internationally.ResultsThe Semashko polyclinic model has lost some of its original strengths due to the excessive specialization of service delivery. We demonstrate the strengths of extended practices in Western countries and conclude that FSU countries should "leapfrog" the phase of developing solo practices and build a multi-disciplinary model similar to the extended practices model in Europe. The latter may act as a 'golden mean' between the administrative dominance of the polyclinic model and the limited capacity of solo practices. The new model requires a separation of primary care and outpatient specialty care, with the transformation of polyclinics into centers of outpatient diagnostic and specialty services that become part of hospital services while working closely with primary care.ConclusionThe comprehensiveness of care in a big setting and potential economies of scale, which are major strengths of the polyclinic model, should be retained in the provision of specialty care rather than primary care. Internationally, there are lessons about the risks associated with models based on narrow specialization in caring for patients who increasingly have multiple conditions.

Project description:Germany is a country known for immigration. In 2015, 21% of the general population in Germany consisted of individuals with a migration background. This article focuses on cancer-specific incidence and mortality among one of the biggest migrant groups in Germany: the resettlers. Resettlers are ethnic Germans who mainly immigrated from the Russian federation and other countries of the former Soviet Union after its collapse in 1989. We investigated differences between resettlers and the general German population, regarding (i) incidence and mortality of malignant neoplasms, (ii) time trends of the corresponding incidence and mortality, and (iii) cancer stage at diagnosis. We provide data from two resettler cohorts covering an observation time of 20 years: one cohort on cancer incidence (N = 32,972), and another cohort on mortality (N = 59,390). Cancer-specific standardized incidence ratios (SIR) and standardized mortality ratios (SMR) for all malignant neoplasms combined and the most common cancer-sites were calculated between resettlers and the general German population. Time trend analyses using Poisson regression were performed to investigate the developments of SIRs and SMRs. To investigate differences in stage at diagnosis, logistic regression was performed, calculating Odds Ratios for condensed cancer stages. We observed higher incidence and mortality of stomach cancer [SIR (men) 1.62, 95%CI 1.17-2.19; SMR (men) 1.62, 95%CI 1.31-2.01; SIR (women) 1.32, 95%CI 0.86-1.94; SMR (women) 1.52, 95%CI 1.19-1.93] and higher mortality of lung cancer [SMR (men) 1.34, 95%CI 1.20-1.50] among resettlers compared to the general German population, but lower incidence and mortality of colorectal (both sexes), lung (women), prostate and female breast cancer. However, time trend analyses showed converging incidence risks of cause-specific incidence over time, whereas differences of mortality did not show changes over time. Results from logistic regression suggest that resettler men were more often diagnosed with advanced cancer stages compared to the Münster population. Our findings suggest that risk factor patterns of the most common cancer-sites among resettlers are similar to those observed within the Russian population. Such increases in prostate, colorectal and breast cancer incidence may be the consequence of improved detection measures, and/or the adaptation of resettlers to the German lifestyle.

Dataset Information

Spatial distribution of arable and abandoned land across former Soviet Union countries.

Publications

Spatial distribution of arable and abandoned land across former Soviet Union countries.

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