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Spatial and temporal analysis of leopards (Panthera pardus), their prey and tigers (Panthera tigris) in Huai Kha Khaeng Wildlife Sanctuary, Thailand

to the recovery of a tiger Panthera tigris population. Journal of Applied Ecology , 48 (3): 806–814. https://doi.org/10.1111/j.1365-2664.2011.01981.x H olling , C.S., 1959. Some characteristics of simple types of predation and parasitism. The Canadian Entomologist, 91 (7): 385–398. https://doi.org/10.4039/Ent91385-7 K aranth , K. U., S rivathsa , A., V asudev , D., P uri , M., P arameshwaran , R., K umar , N.S., 2017. Spatio-temporal interactions facilitate large carnivore sympatry across a resource gradient. Proceedings of the the Royal Society

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Analysis of Spatial and Temporal Variations in Crop Water Productivity of the Rainfed Wheat for a Regional Scale Analysis

References AHMAD, M. D. - MASIH, I. - TURRAL, H. 2004. Diagnostic analysis of spatial and temporal variations in crop water productivity: A field scale analysis of the rice-wheat cropping system of Punjab, Pakistan. In Journal of Applied Irrigation Science , vol. 39 , 2004, no. 1, pp. 43-63. ALLEN, R. G. - PEREIRA, L. S. - RAES, D. - SMITH, M. 1998. Crop evapotranspiration: Guidelines for computing crop water requirements. Italy, Rome : Food and Agriculture Organization (FAO) press, 1998. 328 pp. ISBN 92

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The effect of different habitat conditions on temporal and spatial variation in selected population properties of the rare plant species Trollius europaeus L.

References Ågren J., Ehrlén J. & Solbreck Ch. 2008. Spatio-temporal variation in fruit production and seed predation in a perennial herb influenced by habitat quality and population size. J. Ecol. 96(2): 334-345. http://dx.doi.org./10.1111/j.1365-2745.2007.01334.x Antkowiak W. 1999. Ecological structure of Trollius europaeus L. subsp. europaeus in northwestern Poland. Rocz. AR. Pozn. 346, Bot. 2: 3-17. Antkowiak W. 2002. I nterpopulation v ariability o f g lobe flower (Trollius europaeus L. subsp. europaeus) in

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Spatial and Temporal Features of the Timiş River (Banat, Romania) Liquid Flow Regime

ABSTRACT

This paper presents an analysis of the flow regime of the Timiş River in Romania. The analysis was based on hydrological data provided by the National Institute of Hydrology and Water Management in specialized publications (hydrological yearbooks or online series). The data were supplemented by personal observations in the field. The following leakage parameters were analyzed: average flow (monthly, seasonal, annual), maximum flow (especially flash floods) and minimum leakage. This paper highlights the link between hydrological parameters and conditioning factors of spatial distribution (characteristics of the geological substratum, relief units, elevation, slope) and temporal variation of flow (in function of type of supply, and variability and variation of climatic conditions).

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Spatio-Temporal Analysis of Sheep and Goats Grazing in Different Forage Resources of Northern Greece

guidance of a shepherd.Options Mediterraneennes 85: 61-65. Sanon, H.O., Kabore-Zoungrana, C. & Ledin, I. 2007: Behavior of goats, sheep and cattle and their selection of browse species on natural pasture in a Sahelian area. Small Ruminant Research 67: 64-74. Schlecht, E., Hiernaux, P., Kadaoure, I., Hulsebusch, C. & Mahler, F. 2006: A spatio-temporal analysis of forage availability and grazing and excretion behaviour of herded and free grazing cattle, sheep and goats in Western Niger. Agriculture, Ecosystems & Environment 113: 226

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Evaluation of Spatial and Temporal Variations of Surface Water Quality in the Nile River Damietta Branch

(Ruda River, Poland). Ecol Chem Eng S. 2017;24(2):285-298. DOI: 10.1515/eces-2017-0020. [4] Karbassi A, Nouri J, Mehrdadi N, Ayaz G. Flocculation of heavy metals during mixing of freshwater with Caspian Sea water. Environ Geol. 2008;53(8):1811-1816. DOI: 10.1007/s00254-007-0786-7. [5] Najafpour S, Alkarkhi A, Kadir M, Najafpour GD. Evaluation of spatial and temporal variation in river water quality. Int J Environ Res. 2009;2(4):349-358. DOI: 10.1016/j.jenvman.2009.11.001. [6] Wahaab RA, Badawy MI. Water quality assessment of the River Nile system: an

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Spatio-Temporal Dynamics in Land Use and Habitat Fragmentation within a Protected Area Dedicated to Tourism in a Sudanian Savanna of West Africa

., Visser, M., Sinsin, B., Lejoly, 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

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Spatial and Temporal Dynamics of the Vegetation of Comoé-Léraba Reserve and its Surrounding Lands (Burkina Faso, West Africa)

. Millogo-Rasolodimby J. 2001: L’homme, le climat et les ressources alimentaires végétales en période de crise de subsistance au Burkina Faso. Thèse de Doctorat d’état, Université de Ouagadougou, 250 p. Munsi M., Areendran G., Joshi P.K. 2012: Modeling spatio-temporal change patterns of forest cover: a case study from the Himalayan foothills (India). Reg Environ Change. DOI 10.1007/s10113-011-0272-3 Okayasu T., Okuro T., Jamsran U., Takeuchi K. 2010: Impact of the spatial and temporal arrangement of pastoral use on land degradation around

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Modeling Spatio-Temporal Shoreline Shifting of a Coastal Island in Bangladesh Using Geospatial Techniques and DSAS Extension

/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 Environment, 2(1), 4, http://link.springer.com/10.1007/s40808-015-0060-z (January 26, 2017). Estrada, F., Perron, P., Gay-García, C., & Martínez-López, B. (2013). A time-series analysis of the 20th century climate simulations produced for the IPCC’s Fourth Assessment Report. PloS one, 8(3), e60017. Foody, G

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A Landsat 8 OLI Satellite Data-Based Assessment of Spatio-Temporal Variations of Lake Sevan Phytoplankton Biomass

transfer code for Landsat TM images. International 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

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