Metadata language
Problemy Ekologii Krajobrazu = The Problems of Landscape Ecology, t. 38
Creator: Publisher:Polska Asocjacja Ekologii Krajobrazu ; Polska Akademia Nauk. Instytut Geografii i Przestrzennego Zagospodarowania im. Stanisława Leszczyckiego.
Place of publishing: Date issued/created: Description:Summ. eng. ; Bibliogr. ; 244 p. : il. (color.) ; 24 cm
Type of object: Subject and Keywords:Global Forest Change ; landscape coherence ; landscape metrics
Abstract:In this paper an attempt is made to adapt data from the Global Forest Change project into an analysis of landscape coherence. A comparative analysis of selected landscape metrics for different ranges of values coming from the project was used. They were then compared with the results obtained from the use of CORINE Land Cover data, maps of woodland area and the Central Statistical Office of Poland (GUS) information. The analyses were performed within Mikołajki municipality, which is characterized by a diverse structure of woodland patches. The Global Forest Change data are very detailed. Each pixel (approximately 19 m × 30 m) is ascribed the percentage of trees, which are defined as all vegetation taller than 5 m. The use of these data for an analysis of coherence requires a precise definition of boundary parameters – the percentage of trees and the minimum size of the patch – that should possibly allow an unambiguous determination of individual patches. The proposed method determined a relationship between values of selected landscape metrics for Global Forest Change data stated for different limit values of a percentage of trees, and the minimum size of the patch and values of these metrics for the remaining data used. A limit value of tree cover for one pixel (60%) was stated on a test area, with a value of the degree of coherence measure (Jaeger 2000) corresponding to a value obtained with data coming from CORINE Land Cover and a map of the woodland areas. The results confirm high granularity of the Global Forest Change project data, and hence the possibility of using them to analyze the coherence of landscape on a local scale, in terms of the mobility of the forest fauna.
References:
1. Balej M., 2011. Landscape metrics as indicators of the structural landscape changes – two case studies from the Czech Republic after 1948. Journal of Land Use Science 7 (4).
2. Bank Danych Lokalnych 1995–2014. Główny Urząd Statystyczny. http://stat.gov.pl/bdl/app/strona.html?p_name=indeks [9.07.2014].
3. Bank Danych o Lasach 2014. Biuro Urządzania Lasu i Geodezji Leśnej, Lasy Państwowe, Ministerstwo Środowiska. http://www.bdl.lasy.gov.pl/ [20.07.2014].
4. Corine Land Cover 2000 seamless vector data Version 17 (12/2013), 2014. European Environment Agency (EEA). http://www.eea.europa.eu/data-and-maps/data/corine-land-cover-2000-clc2000-seamless-vectordatabase-5 [20.02.2014].
5. Eiden G., Kayadjanian M., Vidal C., 2000. Quantifying Landscape Structures: spatial and temporal dimensions. [w:] From land cover to landscape diversity in the European Union. DG AGRI, EUROSTAT, Joint Research Centre (Ispra), European Environmental Agency. http://ec.europa.eu/agriculture/publi/landscape/ch2.htm [10.06.2014].
6. Farkas J. Zs., Hoyk E., 2012. Possible landscape ecological analyses of the Corine database based on GIS systems. Annals of Faculty Engineering Hunedoara - International Journal of Engineering 10, Fasc. 3., s. 163-166.
7. Forman R.T.T., Sperling D., Bissonette J., Clevenger A.P., Cutshall C. i in., 2009. Ekologia dróg. (www.zielonasiec. pl/wp-content/uploads/ekologia_drog.pdf) [10.03.2014].
8. Hansen M.C., Potapov P.V., Moore R., Hancher M., Turubanova S.A. i in., 2013. High-Resolution Global Maps of 21st-Century Forest Cover Change. Science 342, s. 850-853. (http://earthenginepartners.appspot.com/science-2013-global-forest) [15.03.2014].
9. Jaeger J.A.G., 2000. Landscape division, splitting index, and effective mesh size: new measures of landscape fragmentation. Landscape Ecology 15, s. 115-130.
10. Jones K.B., Hamann S., Nash M.S., Neale A.C., Kepner W.G. i in., 2007. Cross-European landscape analyses: illustrative examples using existing spatial data. [w:] I. Petrosillo, F. Müller, K.B. Jones i in. (red.), Use of Landscape Sciences for the Assessment of Environmental Security, Springer Netherlands, s. 263-316.
11. Kozak J., 2003. Dokładność globalnych map użytkowania ziemi i pokrycia terenu na przykładzie Global Land Cover Characterization Data Base, Archiwum Fotogrametrii, Kartografii i Teledetekcji 13 A, s. 97-107.
12. Kozieł M., 2008. Zastosowanie bazy danych CORINE Land Cover 2000 do analiz struktury krajobrazu wybranych obszarów chronionych w Polsce. Problemy Ekologii Krajobrazu 22, s. 279-285.
13. Nielsen N.Ch., Blackburn A., 2005. Multi-scale application of spatial metrics for quantifying forest spatial structure and diversity from Corine Land Cover and FMERS-WiFS raster data. [w:] Remote Sensing and Geographical Informations Systems for Environmental Studies, Applications in Forestry: Schriften aus der Forstlichen Fakultät der Universität Göttingen und der Niedersächsischen Forstlichen Versuchsanstalt 138 Frankfurt am Main, J.D.Sauerländer's Verlag, s. 184-194.
14. Roo-Zielińska E., Solon J., Degórski M., 2007. Ocena stanu i przekształceń środowiska przyrodniczego na podstawie wskaźników geobotanicznych, krajobrazowych i glebowych. Monografie 9, IGiPZ PAN, Warszawa.
File size 4,8 MB ; application/pdf
Resource Identifier: Source:CBGiOŚ. IGiPZ PAN, call no. 151.035 ; click here to follow the link
Language: Language of abstract: Rights: Terms of use:Copyright-protected material. May be used within the limits of statutory user freedoms
Digitizing institution:Institute of Geography and Spatial Organization of the Polish Academy of Sciences
Access: