Search Results

1 - 10 of 471 items :

  • "spatial patterns" x
Clear All
The Spatial Patterns of Dairy Farming In Molise

. & Andersson, C. (2014). Spatial patterns of organic agriculture adoption: Evidence from Honduras. Ecological Economics 97, 120-128. DOI: 10.1016/j.ecolecon.2013.11.010. [36] Xingbai, X. & Lee L. (2015). Maximum likelihood estimation of a spatial autoregressive Tobit model, Journal of Econometrics 188(1), 264-280. DOI: 10.1016/j.jeconom.2015.05.004. [37] Zimmermann, A. & Heckelei, T. (2012). Structural Change of European Dairy Farms - A Cross-Regional Analysis. Journal of Agricultural Economics 63(3), 576-603. DOI: 10.1111/j.1477

Open access
Spatial Patterns of Bird Communities of the Lower Dnieper Sands During the Breeding Season: Differentiation Factors

Abstract

Using hierarchical cluster analysis there were distinguished six spatial patterns of bird communities during the breeding season in the Lower Dnieper Sands. The differentiation of these patterns is based on a spatial heterogeneity in the area ratio of different habitats. The sites with natural and sub-natural landscapes hold three types of bird communities. Another type of the bird community is relatively similar to the previous three, but characterized by a poor quantitative and qualitative bird composition; it is associated with open landscapes with destroyed natural vegetation. Bird communities of artificial pine plantations (the most transformed landscapes of the Lower Dnieper Sands) are very different from those in the natural and sub-natural landscapes. The spectra of ecological groups of different bird communities match the spectra of different habitat types obtained using a supervised classification of remote sensing data. It makes it possible to use a topological model of the habitat types (based on remote sensing data) as a predictor for GIS modelling of spatial distribution of different birds communities throughout the Lower Dnieper Sands.

Open access
Spatial patterns of the variability of native residentsin a transitional society: The case of the Czech Republic

Abstract

Currently, the native residents of a country are an important social phenomenon. Although extensive mobility challenges the bonds between places and their inhabitants, biographies of native residents are less often based in several spatial contexts because they are born and raised in a specific place and live there for their entire lives. This absence of residential mobility has important consequences for the ways native residents relate to their ‘home places’ and how they build local attachments. Using data from the Czech Republic, the main objective of this paper is to explore and analyse recent developments in the structure of native residents. The objects of analysis are the municipalities of the Czech Republic, and aggregate census data are used for the purpose of analysis. Spatial and non-spatial approaches to the analysis showed significant changes in the structure of native residents, revealing statistically significant spatial patterns. In general, the residents of Czech municipalities demonstrate levels of co-residence or ‘mixing’ in a significant way in recent years. Thus, further research into matters such as spatial belonging, attachment and identity should also take into account the influence of mobility.

Open access
Intra-urban patterns of creative industries in polycentric city

and cluster reproduction in Dutch architectural design. Regional Studies 44: 859-871. Kunc J, Martinát S, Tonev P, Frantál B (2014) Destiny of urban brownfields: Spatial patterns and perceived consequences of post-socialistic deindustrialization. Transylvanian Review of Administrative Sciences 41: 109–128. Kuta V, Kuda F, Sedlecký J (2005) Černá louka–první poválečný brownfield v Ostravě. Urbanismus a územní rozvoj 8: 10–15. Lazzaretti L, Boix R, Capone F (2008) Do creative industries cluster? Mapping creative local production systems in Italy and

Open access
The Role of Edaphic and Vegetation Factors in Structuring Beta Diversity of the Soil Macrofauna Community of the Dnipro River Arena Terrace

notes in statistics. New York: Springer. Mathieu, J., Grimaldi, M., Jouquet, P., Rouland, C., Lavelle, P., Desjardins, T. & Rossi J.P. (2009). Spatial patterns of grasses influence soil macrofauna biodiversity in Amazonian pastures. Soil Biol. Biochem. , 41, 586−593. DOI: 10.1016/j.soilbio.2008.12.020. Mathieu, J., Rossi, J.P., Grimaldi, M., Mora, P., Lavelle, P. & Rouland C. (2004). Biol. Fertil. Soils , 40, 300. DOI: 10.1007/s00374-004-0777-8. McBratney, A.B. & Pringle M.J. (1999). Estimating average and proportional variograms of soil properties

Open access
Spatial patterns of wetting characteristics in grassland sandy soil

.G.M., Oostindie, K., Nieber, J.L., 1997. Recurring fingered flow pathways in a water repellent sandy field soil. Hydrology and Earth System Sciences, 4, 777–786. Ritsema, C.J., van Dam, J.C., Dekker, L.W., Oostindie, K., 2005. A new modelling approach to simulate preferential flow and transport in water repellent porous media: Model structure and validation. Australian Journal of Soil Research, 43, 361–369. Schlesinger, W.H., Raikes, J.A., Hartley, A.E., Cross, A.F., 1996. On the spatial pattern of soil nutrients in desert ecosystem. Ecology, 77, 364–374. Taiz

Open access
Topographic attributes and ecological indicator values in assessing the ground-floor vegetation patterns

Ellenberg’s indicator values for Mediterranean plants be used outside their region of definition? J. Biogeogr. 34: 62–68. G rabs T., S eibert J., B ishop K. & L audon H. 2009. Modeling spatial patterns of saturated areas: A comparison of the topographic wetness index and a dynamic distributed model. J. Hydrol. 373: 15-23. http://dx.doi.org/10.1016/j.jhydrol.2009.03.031 H engl T. 2006. Finding the right pixel size. Comp. Geosci. 32: 1283-1298. http://dx.doi.org/10.1016/j.cageo.2005.11.008 H utchinson M. F. 1989. A new procedure for gridding

Open access
Impact of applied silvicultural systems on spatial pattern of hornbeam-oak forests

development, Central Bohemia. Forest Systems, 20:122–138. Bulušek, D., Vacek, Z., Vacek, S., Král, J., Bílek, L., Králíček, I., 2016: Spatial pattern of relict beech ( Fagus sylvatica L.) forests in the Sudetes of the Czech Republic and Poland. Journal of Forest Science, 62:293–305. Burrascano, S., Sabatini, F. M., Blasi, C., 2011: Testing indicators of sustainable forest management on understorey composition and diversity in southern Italy through variation partitioning. Plant Ecology, 212:829–841. Clark, P. J., Evans, F. C., 1954: Distance to nearest

Open access
The spatial distribution of gambling and its economic benefits to municipalities in the Czech Republic

–488. BINDE, P. (2013): Why people gamble: A model with five motivational dimensions. International Gambling Studies, 13: 81–97. BROWN, M. C. (1994): Using gini-style indices to evaluate the spatial patterns of health practitioners: Theoretical considerations and an application based on Alberta data. Social Science and Medicine, 38(9): 1243–1256. Czech Statistical Office (2015): Veřejná databáze Českého statistického úřadu [online]. [cit. 15.01.2016]. Available at: https://vdb.czso.cz/vdbvo2/faces/cs/index.jsf?page=statistiky DIAZ, J. D. (2000): Religion

Open access
Tree canopy affects soil macrofauna spatial patterns on broad- and meso-scale levels in an Eastern European poplar-willow forest in the floodplain of the River Dnipro

(1): 1–10. https://doi.org/10.1038/ncomms9444 K ing , A. W., W ith , K. A., 2002. Dispersal success on spatially structured landscapes: when do spatial pattern and dispersal behavior really matter? Ecological Modelling , 147 (1): 23–39. https://doi.org/10.1016/S0304-3800(01)00400-8 . K rivolutsky , D.A., 1994. Pochvennaja fauna v jekologicheskom kontrole [ Soil fauna in ecological control ]. Moscow: Nauka. 240 p. L avelle , P., S enapati , B., B arros , E., 2003. Soil macrofauna. In Schroth, G., Sinclair, F.L. (eds). Trees, crops and soil

Open access