%0 Conference Proceedings
%4 sid.inpe.br/marte2/2017/10.27.13.43.24
%2 sid.inpe.br/marte2/2017/10.27.13.43.25
%@isbn 978-85-17-00088-1
%F 59837
%T Análise do potencial de invasão do capim-annoni-2 sobre áreas do Bioma Pampa no município de Aceguá-RS
%D 2017
%A González, José David Montoya,
%A Fonseca, Eliana Lima da,
%A Perez, Naylor Bastiani,
%@electronicmailaddress jdmonto0@gmail.com
%E Gherardi, Douglas Francisco Marcolino,
%E Aragão, Luiz Eduardo Oliveira e Cruz de,
%B Simpósio Brasileiro de Sensoriamento Remoto, 18 (SBSR)
%C Santos
%8 28-31 maio 2017
%I Instituto Nacional de Pesquisas Espaciais (INPE)
%J São José dos Campos
%P 4197-4204
%S Anais
%1 Instituto Nacional de Pesquisas Espaciais (INPE)
%X The Eragrostis plana Nees (capim-annoni-2 or capim annoni) is one of the most invasive weeds in the Pampa biome. It was brought from South Africa in the 50s and occurring in around 10% of the Pampa biome total area. Taking into account the great capim annoni establishment capacity in a wide range of environmental conditions, the negative ecological and socioeconomic impacts, and the difficult of its eradication, it is important aimed to identify the high risk of invasion areas in regions that are not invaded yet, to improving the frameworks of territory management. The present work was carried out on the municipality of Aceguá Brazil. In order to determine which areas are the most critical for capim annoni invasion as well as the effect of the road network in these estimates, an experiment with GARP, a species distribution model, was carry out, using environmental variables calculated through remote sensing products such as Landsat 8 OLI surface reflectance, MODIS MOD13Q1 and SRTM data. The result shows that for a invasion probability threshold of 70% the municipality has an area of 37,33% at a potencial risk to be invaded, when the road network is included into the model, and 29,64% without this variable, confirm the impact of the road network in both of capim annoni dispersion and its establishment. These results confirm the GARP model capacity to estimates the potencial areas to capim annoni invasion in Pampa biome using remote sensing data.
%9 Modelagem espacial
%@language pt
%3 59837.pdf