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. The area is located near Bojarka 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. Please, pay attention to the table 2 on page 188, and to the picture on 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 ArcMap 9.3. ESRI software. 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).
Interesting archival sources – for students: Grodzynsky M., Romanenko V., Shelyag Sosonko Yu. The Concept of Ecological Network for Transfrontier Territories of the Dnipro Basin/Informational Bulletin of UNDP GEF Dnipro Basin Environment Programme.– №4/2003. –pp. 11-12. (Rus.) – see a map copy and the map in total.
In corridors (SCARE IGS NASU publications): Kozlova A.A. Biodiversity estimation and mapping technique using multispectral space images. – Manuscript. Thesis for the scientific degree of candidate of technical sciences on 05.07.12 specialty – remote aerospace research – Scientific Centre for Aerospace Research of the Earth, Institute of Geological Sciences, National Academy of Sciences. Kiev, 2007. – 21 p. (Ukr., 1,7 Mb) – see Downloads
Source: Landscape Ecology: Textbook on Application of Pressure Based Biodiversity Modelling for National and Regional Educational Purposes” Part 1. Biodiversity Modelling: GLOBIO Ukraine Region Case Study. Part 2. Student’s Workbook. Authors: Vasyl I. Prydatko, Grygoriy O. Kolomytsev, Raisa I. Burda and Sergiy M. Chumachenko. — Kyiv: NAU, 2008.—100 pp. Case’s title (p.25-26): creation of synthesized image of mega-agroecosystem of Ukraine and its three dimensional analysis – Sozinov et al. [19,21,22]. Studying dimension, mosaics and changeability of GLOBIO agrosphere, as well as its environment forming and ecological-social characteristics, has been a very difficult task. Some breakthrough was done in 2003-2006. In 2004, based on MODIS 2002 remote sensing data, ULRMC developed an approach to studying dimension, mosaics and changeability of the agrosphere (active agriculture) and compiled the first thematic map related to its projection into a plane. This map was used for developing a new map of diversity of land cover classes or LCC, 1:200000, and later on – a map of ‘LCC density’ or LCCD. At that time the calculated percentage of the agrosphere to the entire surface of the dry land of Ukraine totaled about 64%, and respectively, to the ‘non-agrosphere’ – 36% . (Students can compare it with more commonly used statistics of 2002’s and try to explain differences). As the land coverage the mega-agroecosystem in Ukraine prevails considerably, its marking out on a digital map is a key technical procedure when compiling different maps, in particular those related to ecological value of lands, possible density of natural or associated agrobiodiversity, expected elements of ecological network in the mega-agroecosystem, etc. It should be noted that the vector image of the mega-agroecosystem is accessible and included in GIS ‘Agrobio’, which is a CD-appendix to a two-volume publication ‘Agrobiodiversity of Ukraine…’ [21,22], and now is a CD-appendix of the training package. Based on this, the percentage of ‘point’ RB-species habitats [23,24], compatible with the agrosphere, was calculated at about 45% (plants) and 47% (animals) – from the total number of habitats . Below, in the book, it is demonstrated how to use this vector image for the calculation of the percentage of agricultural territories within the outlines of wetlands of international significance. (So far Ukrainian zoologists have not suggested any other approaches to this issue). This research also has a different perspective because the society has not yet informed an appropriate image designed in the form of the map in terms of potential ecological network intersection with mega-agroecosystem coverage.
In corridors (National University of Biological Resources and Life Sciences of Ukraine) – new publication: Prydatko V., Berezhnyak E. Geoinformation Technologies and Ecological Indication. Manual for Teaching and Laboratory Classes Support. Kyiv, 2009. −53 pp. – Ukr. See pdf-version = http://biomodel.info/?page_id=832
In 2008 ULRMC joined CEUBIOM consortium. As for March 2009 it took part in preparartion of WP1, WP2, WP3 and WP4 reports. CEUBIOM – Classification of European Biomass Potential for Bioenergy using Terrestrial and Earth Observations and which is funded by the European Commission under the Framework Programme 7 within the ‘Energy Thematic Area’ and contributes to ‘Harmonisation of biomass resource assessment’ activities which focus on assessing and optimising the availability of biomass resources… With the advent of Earth Observation (EO) techniques in natural sciences, an increasing interest has been documented by experts for using these approaches in order to estimate the potential of biomass production for specific areas… Within the framework of CEUBIOM a harmonised methodology will be proposed for assessing the land use/land cover and forest types (LULCaFT), above ground biomass (AGB), carbon content and respective changes based on remote sensing data… The ambition of CEUBIOM project is to develop a Platform and a self-sustained e-service that will directly assist and train professionals from the EO, agricultural and EO/biomass sectors about the new, common and harmonised applications of EO and a better understanding of each other’s requirements. The CEUBIOM consortium consists of 16 partners originating from 15 EU Member States and covering academic departments, research institutes and Small and Medium Enterprises. Complementary actions between CEUBIOM and BEE project which is also funded by the European Commission under the Framework Programme 7, will take place for the total duration. More details: http://www.ceubiom.org/project/objectives.html
Some new functionality was provided by BioModel Team over the last month at the web : First of all – new multilingual application in Ukrainian and Russian (that depends on the content). The team works on translation of the web-contents to grant that intelligible information to potential Eastern European users. Secondly, some additional web page usability has been provided by BM-team i.e. ‘navigation line’, ‘handy reference info for citation inside the pages and posts’, ‘printable view’, ‘Site map page’ and even special ‘xml sitemap’ for google bots (: Planned improvements will include: a searchable species list within the species profiles to be useful for ‘fast visitors’, and further separation of the weblog from information site.