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| Trimoreau, E.; Archambault, Benoit; Brind'Amour, Anik; Lepage, Mario; Guitton, Jerome; Le Pape, O.. |
| Essential fish habitat suitability (EFHS) models and geographic information system (GIS) were combined to describe nursery habitats for three flatfish species (Solea solea, Pleuronectes platessa, Dicologlossa cuneata) in the Bay of Biscay (Western Europe), using physical parameters known or suspected to influence juvenile flatfish spatial distribution and density (i.e. bathymetry, sediment, estuarine influence and wave exposure). The effects of habitat features on juvenile distribution were first calculated from EFHS models, used to identify the habitats in which juvenile are concentrated. The EFHS model for S. solea confirmed previous findings regarding its preference for shallow soft bottom areas and provided new insights relating to the significant... |
| Tipo: Text |
Palavras-chave: Coastal and estuarine dependent species; Nursery ground; Habitat suitability models; Geographic Information System; Bay of Biscay. |
| Ano: 2013 |
URL: http://archimer.ifremer.fr/doc/00164/27546/25720.pdf |
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| Sarmiento,Christiany M.; Coltri,Priscila P.; Alves,Marcelo de C.; Carvalho,Luiz G. de. |
| ABSTRACT This study used spectral data integrated with the agrometeorological model by Doorenbos and Kassam to estimate soybean grain productivity in the state of Mato Grosso, Brazil. In the developed model, spectral data were used instead of meteorological data and biophysical parameters of the crop. For this purpose, the products of real and potential evapotranspiration (MOD16), normalized difference vegetation index – NDVI (MOD13Q1), and leaf area index (MOD15A2H) from the MODIS satellite were used, in addition to sunstroke data obtained by using the visible channel from the satellite GOES IMAGER. The results obtained showed that, with the proposed methodology, it was possible to follow the development of soybean cultivation throughout the cycle and to... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Geographic Information System; Mathematical Modeling; Remote Sensing; Agrometeorology; Crop Monitoring. |
| Ano: 2020 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162020000300405 |
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| Sant'Anna,Aline Cristina; Costa,Mateus José Rodrigues Paranhos da; Páscoa,Adriano Gomes; Silva,Lívia Carolina Magalhães; Jung,Jens. |
| The aim of this note is to describe preliminary results on assessment of land use by cattle, obtained in a pilot study using Geographic Information System (GIS). The research was carried out on a semi-natural pasture in Sweden, where the geographic positions of one cow were recorded during 25 consecutive days during summer. The cow, wearing a GPS collar, was integrated in a herd of 53 Hereford cattle. Each location point registered for the animal was considered as a sampling unit (N=3,097). The spatial distribution of ground declivity, water sources, cattle tracks, and classes of woody vegetation cover (forest, grassland with trees and open grassland) were recorded. The storage, processing and data analysis were carried out using the Idrisi and GS+... |
| Tipo: Info:eu-repo/semantics/report |
Palavras-chave: Cattle; Behavior; Geographic Information System; Pasture. |
| Ano: 2015 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782015000300470 |
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| Halbich, Cestmir; Vostrovsky, Vaclav. |
| This paper describes the possibility of the Geographic Information Systems (GIS) as a means to support decision making in solving spatial problems. Spatial problems accompany every human activity, of which agriculture is no exception. The solutions to these problems requires the application of available knowledge in the relevant decision-making processes. GISs integrate hardware, software, and data for capturing, managing, analyzing, and displaying all forms of geographically referenced information. Coupled with GISs, geography helps to better understand and apply geographic knowledge to a host of global problems (unemployment, environmental pollution, the loss of arable land, epidemics etc.). The result may be a geographical approach represents a new way... |
| Tipo: Journal Article |
Palavras-chave: Knowledge; Semi-structural spatial decision problem; Spatial decision support system; Geographic Information System; Research and Development/Tech Change/Emerging Technologies; Research Methods/ Statistical Methods; Resource /Energy Economics and Policy; GA; IN. |
| Ano: 2011 |
URL: http://purl.umn.edu/109739 |
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| Martin, C. S.; Carpentier, Andre; Vaz, Sandrine; Coppin, Franck; Curet, L.; Dauvin, J. -c.; Delavenne, Juliette; Dewarumez, J. -m.; Dupuis, L.; Engelhard, G.; Ernande, Bruno; Foveau, A.; Garcia, C.; Gardel, Laure; Harrop, S.; Just, R.; Koubbi, P.; Lauria, Valentina; Meaden, G. J.; Morin, Jocelyne; Ota, Y.; Rostiaux, Emilie; Smith, R.; Spilmont, N.; Verin, Yves; Villanueva, Ching-maria; Warembourg, Caroline. |
| The eastern English Channel, the narrow channel of water separating northern France and southeast England is an area of intense human use of the array of resources concentrated into its relative small area. The vulnerability of living resources and their habitats brought together French and British maritime experts within a common project (called CHARM): to create an atlas of marine resource habitats in the eastern English Channel so as to provide planners and decision-makers with the necessary information to help managing the use of its living and non-living resources. This multidisciplinary and richly illustrated atlas provides abundant information on the legal framework and physical environment; benthic invertebrates, fish and their habitats; fishing... |
| Tipo: Text |
Palavras-chave: Eastern English Channel; Dover Strait; Benthos; Fish; Habitat; Ecosystem; Marine spatial planning; Fisheries; Legislation; Trophic network; Food web; GIS; Geographic Information System. |
| Ano: 2009 |
URL: http://archimer.ifremer.fr/doc/00000/11169/7523.pdf |
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