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, J. & Bogaert, J. (2008). Influence des actions anthropiques sur la dynamique spatio-temporelle de l’occupation du sol dans la province du Bas-Congo (RD Congo). Sciences & Nature 5: 49–60 Barima, Y.S.S, Barbier, N., Bamba, I., Traoré, D., Lejoly, J., & Bogaert, J. (2009). Dynamique paysagère en milieu de transition forêt-savane ivoirienne. Bois et Forêt des Tropiques 299: 15-25 Baskent, E.Z., & Kadiogullari, A.I. (2007). Spatial and temporal dynamics of land use pattern in Turkey: a case study in Inegöl. Landscape Urban Plan 81:316-327. Bottomley, B. (1998

Abstract

The paper presents results of determination of temporal changes in water table depths in the toposequence of Retisols/Luvisols and Phaeozems/Gleysols. Assessment of temporal trends in the water table depth was made with the use of the linear regression analysis. The results obtained indicate that the mean water table depth and mean high and low water table depths were deeper in the soil at the upper part of the slope in comparison with soil located at the footslope. A higher amplitude of water table was observed in Retisols than in Gleysols but the highest variability of water table level was noted in the soils at the footslope compared to those at the slope summit. In Retisols, with each month of observation from 1993 to 2012, the water table showed a tendency to increase. These trends were the highest from January to April, which may be related to the tendency of increasing monthly sums of precipitation in December, January and February. In the Gleysol at the footslope, in the period 1993–2012 and in the vegetation season, the water table depth showed a tendency to decrease. This trend may be due to the impact of water table on the soil water content at the root zone, which is used in the process of evapotranspiration.

Abstract

Land-use change is one of the major drivers of global biodiversity loss, its study experiencing continuous development and increasing recognition, influencing main research directions within ecology. Many studies target the negative aspect; however, the modification of the natural environment over centuries and millennia led to the biodiversity, in its broadest sense, we are trying to conserve nowadays within cultural landscapes. This theoretical paper deals with the issue of spatial and temporal variations in extensively managed rural landscapes from Central-Eastern Europe. The constraints of the state of the art and arising challenges for biodiversity management in complex, farmed landscapes of high nature conservation value are discussed, through the example of Transylvania (Romania). The paper argues for the necessity of considering historical perspectives and traditional knowledge in an attempt to understand the current on-site conditions and developing realistic adaptive management strategies with special emphasis on the (traditional) rural communities, representing a key resource for biodiversity conservation

changes using time-series Landsat data in the Qingjiang River Basin, China. Journal of Applied Remote Sensing, 6(1), 063609, http://remotesensing.spiedigitallibrary.org/article.aspx?doi=10.1117/1.JRS.6.063609 (January 26, 2017). Dummett, Mark. (2008). “BBC NEWS | South Asia | Bangladesh Landmass ‘Is Growing’”, http://news.bbc.co.uk/2/hi/south_asia/7532949.stm (January 28, 2017). Emran, A., Rob, M. A., Kabir, M. H., & Islam, M. N. (2016). Modeling spatio-temporal shoreline and areal dynamics of coastal island using geospatial technique. Modeling Earth Systems and

Journal of Remote Sensing, 22(2-3), 487-502. Dalu, T., Dube, T., Froneman, P.W., Sachikonye, T.B., Clegg, B.W. and Nhiwatiwa, T. (2015). An assessment of chlorophyll-a concentration spatio-temporal variation using Landsat satellite data, in a small tropical reservoir. Geocarto International, 30(10), 1130-1143. Heblinski, J., Schmieder, K., Heege, T., Agyemang, T.K., Sayadyan, H. and Vardanyan, L. (2011). High-resolution satellite remote sensing of littoral vegetation of Lake Sevan (Armenia) as a basis for monitoring and assessment, Hydrobiologia, 661(1), 97-111. Hedley

The Journal of Czech National Chapter of the Association for Landscape Ecology (CZ-IALE)

waves on piles. Journal of Petroleum Technology, 2(05), 149-154. 11. Paulsen (2013), Efficient computations of wave loads on offshore structures, PhD thesis, DTU –Department of Mechanical Engineering 12. Paulsen, B. T., Bredmose, H., & Bingham, H. B. (2014). An efficient domain decomposition strategy for wave loads on surface piercing circular cylinders. Coastal Engineering, 86, 57-76. 13. Veic D (2018), Effect of the Breaking Wave shape on the Temporal and Spatial Pressure Distribution around a Monopile Support Structure, Ph.D. 14. Wienke, J. (2001

-343. Jovanović, D., Govedarica, M., Badnjarević, M., (2011). Presenting And Comparing the Object Based Image Analysis and Standard Image Analysis For Change Detection of Forest Areas, Using Low-Resolution Satellite Imagery. SGEM, 2, 11, 329-336. Lillesand, T.M., Kiefer, R.W. and Chipman, J.W. (2008). Remote Sensing and Image Interpretation . 6th Edition, John Wiley & Sons, Hoboken. Lunetta R., (2004). Land-cover change detection using multi-temporal modis NDVI data, Remote Sensing of Environment , 105, 2006, 142–154. Liu J.G. & Mason, P.J, (2009). Essential Image Processing

. Jurnal Alam Bina , 13(4), 1-24. Holling, C. S. (1973). Resilience and stability of ecological systems. Annual Review of Ecology and Systematics , 4, 1-23. Islam, K., Jashimuddin, M., Nath, B. & Nath, T. K. (2018). Land use classification and change detection by using multi-temporal remotely sensed imagery: The case of Chunati wildlife sanctuary, Bangladesh. The Egyptian Journal of Remote Sensing and Space Sciences 2, 37-47. IUCN. (2005). Benefits Beyond Boundaries. Proceedings of the Vth IUCN World Parks Congress . Gland, Switzerland and Cambridge, UK: IUCN. Landis

of maximum-value composite images from temporal AVHRR data. International Journal of Remote Sensing, 7(11), 1417-1434. Kira, T., (1976). Terrestrial Ecosystems. Kyoritsu, Tokyo, 166 pp. (in Japanese) Miyawaki, A. (edt.), (1977). Vegetation of Japan, compared with other regions of the world, Encyclopedia of sci. and techn., Gakken, 3, Tokyo, 535 pp. (in Japanese) Nogami, M., (1994). Thermal Condition of the Forest Vegetation Zones and their potential Distribution under Different Climates in Japan. Japanese Journal of Geography, 103(7), 886-897. (in Japanese