GI for Sustainability
GI & Sustainability II
More than others, arctic and subarctic ecosystems are affected by consequences of global climate changes. The reindeer plays numerous roles both in Scandinavian natural and cultural landscapes (Forbes et al., 2007). In particular, reindeer grazing history is suspected to strongly interact with balance of carbon in tundra ecosystems (Väisanen et al., 2014). Moreover, the sentinel-specie allow us a better understanding of interactions between arctic ungulates and cold ecotones in the context of increasing extent and biomass of vascular plants (shrubs, forbs) for Eurasiatic subpolar latitudes (Macias-Fauria et al., 2012). The IUCN red list of endangered species has just classified reindeer Rangifer tarandus as vulnerable (Gunn, IUCN, 2016). Wild reindeer (Rangifer tarandus tarandus L.) herds in Hardangervidda mountainous plateau (Norway) constitute one of the three isolated populations along Fennoscandia mountain range. Population is declining (above 30 000 individuals in 1960, above 5000 in 2010, Uboni et al., 2016) threatening it to bottle-neck effects and then serious difficulties to adapt to potential effects of climate change (directs: summer and weather conditions; indirect: forage resources availability and accessibility, insect harassment and parasitism). The study focuses here on both monitoring reindeer's migrational patterns and presenting a specially designed Python toolbox. In a first approach, the study aims to quantify spatial representativeness of raw datasets and processed raster value, using the "GRiD" Python toolbox. The "GRiD" toolbox automate regional sampling from numerous raster datasets. The extent of the mesh of points (cells' core) is represented by bi-monthly home ranges. The script automatically generates a continuous grid (250 meters cell size) and associated centroid of polygons. Such script includes the possibility to export the entire dataset (with geographical IDs), allowing us to compute statistical analysis using regular spreadsheets software and mapping results on GIS softwares. GRiD toolbox and input raster datasets helps to understand temporal and spatial variability of interseasonal and interannual home ranges and estimated densities for the entire equipped population. The GPS-tracks dataset comes from Cagnacci et al., 2015 (7 individuals). Temporal coverage is 2007-2009, with a 3-hours accuracy. The biogeophysical descriptors are represented by altitudes, past monthly temperatures (1950-1990), Corine Land Cover ecological habitats (European Environment Agency, 2006) and temporal series of MODIS 13Q1 NDVI index (2007-2009, bi-monthly). The studied areas are delimited by Kernel Utilization Densities (AdeHabitatHR, Callenge, 2006) build on bi-monthly home ranges. We then characterize ecological habitat diversity by bi-monthly home ranges. Finally, we test relationships (Spearman's correlation) between bi-monthly estimated densities and biogeophysical factors. Spatial mismatch of 0,6 % has been found between ecological habitats when comparing raw (100m²) and new dataset (250m²). Intra-annual home ranges analysis describes differences between inter-seasonal migrations (early spring, end of the summer) and calving or capitalizing times: Kruskal-Wallis tests of distribution based on NDVI values have reported strong differences between inter-annual NDVI. Ecological habitat diversity appears to be higher for spring and late summer home-ranges. For intra-annual home ranges, significant correlations have been found between reindeer’s estimated densities and both altitudes and annual phenology, depending on the considered home range. No significant correlations have been found for capitalizing times (July), rather than early spring migration (April) and calving period (May). Distribution tests have shown strong differences between inter-annual estimated densities and NDVI. GRiD performance and biogeographical results suggests 1) to enhance geometric accuracy 2) better examine links between estimated densities and NDVI signal 3) introducing Land Surface Temperatures to better fit with herbaceaous onset.
Romain is a PhD-student in Geography. He studies effects of climate change on scandinavian reindeer, both wild and semi-domestics. His researches are related to quantifying effects of climate change in regional and local climate in Scandinavia, and direct/indirect consequences on reindeer dynamics of population and migrations. An other important part of his work is related to vegetation resources availability and accessibility for reindeer.
Muséum National d'Histoire Naturelle
Alexiane is a master student in Biodiversity and Ecology at Museum National d'Histoire Naturelle. She studied both geography and ecology, and worked on monitoring vegetation phenology and reindeer residence time in Norway.
Kévin is a geographer, specialized in computer/SIG engineering. After his master' degree, he worked on Python toolboxes development in interactions with researchers needs
Clelia is assistant-professor at Paris-Sorbonne university. She works on interactions between herbivorous, vegetation biodiversity and urban planning.
Marianne is a university professeur of Bioeography at Paris-Sorbonne university. Her principal field researches are in vegetal biodiversity, extreme environments and agricultural systems adaptability to climate change effects.
Centro de Investigacion en Geografia y Geomatica Ing. J. L. Tamayo A. C.
Agrologo (Soil scientist), Magister of Science, International Institute for Aerospace Survey and Earth Sciences, 1992, Enschede, The Netherlands. Magister in Geomatic, CentroGeo, 2006, México. Lecturer on Landuse planning and Land evaluation - Geographic Institute Agustin Codazzi, Bogotá, Colombia (1989-2000). Researcher CentroGeo (2000-present). Research fields: Process and analysis of DEM for analyses and modelling environmental problems, analysis and assessment of vulnerability -Resilience to global environmental change.
Projects: Digital image processing for land use-land cover and geomorphologic cartography. Spatial analysis and modeling for land use planning and Vulnerability-Resilience to Global environmental change.
Wednesday, July 5
3:10 PM – 3:30 PM
Wednesday, July 5
3:30 PM – 3:50 PM
Thursday, July 6
3:30 PM – 3:50 PM
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