Machine learning in landscape ecological analysis: a review of recent approaches

2021 ◽  
Author(s):  
Mihai-Sorin Stupariu ◽  
Samuel A. Cushman ◽  
Alin-Ionuţ Pleşoianu ◽  
Ileana Pătru-Stupariu ◽  
Christine Fürst
Keyword(s):  
Machine Learning ◽  
Ecological Analysis ◽  
Landscape Ecological

scholarly journals Changes of Taxonomic Diversity of Soils’ Mеasopopulation in the Range of Environmental Conditions of the Northern Macroslope of Khamar-Daban

2020 ◽  
Vol 34 ◽  
pp. 55-66
Author(s):  
E. P. Bessolitsyna ◽  
Keyword(s):  
Anthropogenic Impacts ◽  
Taxonomic Diversity ◽  
Main Trend ◽  
Anthropogenic Factors ◽  
Species Number ◽  
Soil Conditions ◽  
Anthropogenic Pressure ◽  
Ecological Analysis ◽  
High Rise ◽  
Landscape Ecological

Landscape-ecological analysis of taxonomic diversity and structure of soil invertebrates’ community in the geosystems of the Hamar-Daban Region was carried out on the main levels: local (biogeocenotic), topological (facies) and regional. The paper considers regularities of transformation of communities’ structure in landscape-zonal range under the influence of natural conditions: phytocenotic (peculiarities of vegetation), edaphical and climatic (hydrothermal regime of the soil) and anthropogenic factors. On the models groups: Сarabidae, Staphylinidae, Elateridae, Formicidae altitudinal changes of community' structure have been traced; in all landscape-high-rise complexes (in species composition and abundance of species) was revealed forest preference. The main trend of changes in taxonomic diversity of invertebrate’s communities is a decrease in the species number in the gradient of an increase of climate aridity, and strengthening of the hypothermal character and anthropogenic pressure. Peculiarities of structures invertebrate’s communities and their changes due to the climate change and anthropogenic impacts can serve as one of diagnostic criteria of soil conditions and can be used for estimation of landscapes’ transformation and monitoring.

scholarly journals The association of Coronavirus Disease-19 mortality and prior bacille Calmette-Guerin vaccination: a robust ecological analysis using unsupervised machine learning

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Nathan A. Brooks ◽  
Ankur Puri ◽  
Sanya Garg ◽  
Swapnika Nag ◽  
Jacomo Corbo ◽  
...  
Keyword(s):  
Machine Learning ◽  
Population Level ◽  
Ecological Analysis ◽  
Bacille Calmette Guerin ◽  
Vaccination Programs ◽  
Bcg Vaccination ◽  
Level Data ◽  
Specific Modeling ◽  
Related Mortality ◽  
Country Specific

AbstractPopulation-level data have suggested that bacille Calmette-Guerin (BCG) vaccination may lessen the severity of Coronavirus Disease-19 (COVID-19) prompting clinical trials in this area. Some reports have demonstrated conflicting results. We performed a robust, ecologic analysis comparing COVID-19 related mortality (CRM) between strictly selected countries based on BCG vaccination program status utilizing publicly available databases and machine learning methods to define the association between active BCG vaccination programs and CRM. Validation was performed using linear regression and country-specific modeling. CRM was lower for the majority of countries with a BCG vaccination policy for at least the preceding 15 years (BCG15). CRM increased significantly for each increase in the percent population over age 65. A higher total population of a country and BCG15 were significantly associated with improved CRM. There was a consistent association between countries with a BCG vaccination for the preceding 15 years, but not other vaccination programs, and CRM. BCG vaccination programs continued to be associated with decreased CRM even for populations < 40 years old where CRM events are less frequent.

DATA TYPE AND SCALE EFFECTS ON AN EIA PROCESS — CONTEXT VERSUS OBJECT APPROACH: A CASE STUDY OF THE EVALUATION OF THE IMPACTS OF THE A2 ROAD IN SOUTHERN PORTUGAL ON THE IBERIAN LYNX

2000 ◽  
Vol 02 (01) ◽  
pp. 19-41
Author(s):  
JOÃO PAULO FERNANDES
Keyword(s):  
Scale Effects ◽  
Lynx Lynx ◽  
Iberian Lynx ◽  
Ecological Analysis ◽  
Southern Portugal ◽  
Regional Landscape ◽  
The Individual ◽  
Process Context ◽  
Landscape Ecological

The use of two scales within an environmental impact assessment study of the impacts on the Iberian Lynx (Lynx pardina Linnaeus) is described. The differences in information content and assessment ability are evaluated. One scale is based on the register of observations along the study corridor of the highway (the "object" approach), and the second on a broad regional landscape ecological analysis assessing the entire Lynx population and the viability for survival of the individual populations that are potentially affected by the highway (the "context" approach). Other data quality and type variations and its influence in the evaluation are also analysed.

Regional and Landscape Ecological Analysis

2007 ◽  
pp. 261-XIII
Author(s):  
Richard H. Waring ◽  
Steven W. Running
Keyword(s):  
Ecological Analysis ◽  
Landscape Ecological
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