From the students’ desk (bachelor’s research announcement): Gryb O. (2010). Development of Landscape Ecological Profile of the manufacturing enterprise Velykosnytynske [near Kyiv] With Usage of Modern Indicators and Indices (LССD, MSA, etc.) The Bachelor’s Work for the specialty 6.070800 ‘Ecology and the Environmental Conservation’. Kyiv: NUBLS, 2010: 68.

Resume (TBD, see ukr).

Website GLOBIO model fully renewed. The GLOBIO model is a tool to assess past, present and future human impact on biodiversity. As a policy tool, it is regularly applied in global, regional and national assessments. The GLOBIO model is the result of a collaboration between the Netherlands Environmental Assessment Agency (PBL), the UNEP World Conservation Monitoring Centre (UNEP-WCMC) and UNEP/GRID-Arendal. The renewed website provides information on the workings of the model and its applications.

BioModel’s note: the renewed GLOBIO-web presented to readers also pdf-version of the book ‘Landscape Ecology…’  (2008). See our Download section.

The article about the global-biodiversity-assessment-model-GLOBIO3 is available here, see BioModel ‘Publications’ section – http://biomodel.org.ua/?page_id=2439.

(source)

The details are here.

Newest investigation of relationship between past warming and sea-level rise confirms that sea-level rise is imminent even in case of stabilization at today’s CO2 levels. Moreover, new conclusion is that rise level will be much higher than it was predicted by long-term projections from the Fourth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC). Corresponding research was accomplished by team from the National Oceanography Centre, Southampton (NOCS), along with colleagues from Tübingen (Germany) and Bristol. We take notice that GLOBIO3 global terrestrial biodiversity model currently not includes any effect of sea-level rise. This effect, however, can cause dramatic boost of biodiversity loss process via changes in land surface, unexpected mass migration over the Earth and impact on global economy in nearest future. The GLOBIO(EEBIO) East Europe team chalk up the summary and suggests to include the sea-level rise effect to model across with expected revised IPCC projections. Currently the GLOBIO(EEBIO) East Europe team work on model improvements for providing with more precious assessment of the climate change effect on biodiversity using SDM’s (Species distribution models).

Students write about... Starushyk N.S. Indicative-index approaches application for forest ecosystems research in the Boyarka Forestry Experimental Station Manufacturing Firm. The Bachelor Research for the Specialty 8.070801-Ecology-and-Nature-Conservation. Kyiv: NULES, 2009.−70 p. (Manuscript, resume)

Application for biodiversity modelling purposes in Ukraine LCCD index: publications summary (supportive data for students of the National University of Life Sciences, Kyiv) – more details. *LCCD – land cover classification density.

Thre is popular extract of a cartographical EEBIO-model ‘Polar Bear’  that was produced by the BioModel group in 2006, but published in 2008 – more details.

April 8-9, 2009: The National Conference-2009 for Young Scientists took place in central office of the Schmalhausen Institute of Zoology NASU (Kyiv). Participants demostrated 61 scientific reports on fauna investigation and conservation, taxonomy, ecology, animal morphology, paleontology, zoogeography. BioModel Team has presented to the conference some previous results of SDM – species (mammals) destribution modelling were produced in accordance with GLOBIO methodology – here. (See other BioModel examples using site-map).

There is a supportive data for students of National University of Biological Resources and Life Sciences (Kyiv) on application of LCCD for purposes of a local model plot research i.e LCCD Zoom In – Near Velyka Sneetynka (Kyiv Oblast) – map. The area is located near Velyka Sneetynka village in Kyiv Oblast (Ukraine). Respective algorithm has been described by us in the monograph ‘Agrobiodiversity of Ukraine…’ (Ukr), see Book #1 – p.15-31, and Book #2 – p.165-194. NB: table 2 – page 188, and the picture – page 590 of the Book #2, and to the text, which narrate about LCCD-index importance due to its good potential to be converted then to numbers of plant or animal species directly. For the map we used LCCD-shape-file of GIS ‘Agrobio’, and settlements-shape-file of digital map 1:500000, and that was based on ESRI software (ArcMap 9.3). Students have to compare then LCCD and MSA indices using previous published results and information about its correlation. (For more details use BioModel searach window above, or page 63 and Picture #21 of our ‘Landscape Ecology…’ (2008) as well as the moddelling leaflet (A3).