TY - JOUR
T1 - Using remote sensing and a cellular automata-markov chains-GEOMOD model for the quantification of the future spread of an invasive plant
T2 - A case study of Psidium guajava in Isabela Island, Galapagos
AU - Cabrera Barona, P.
AU - Cabrera Barona, P.
AU - Mena, C.
N1 - Publisher Copyright:
© Geoinformatics International.
PY - 2014
Y1 - 2014
N2 - Plant invasive species are one of the most important threats to the ecological stability of the Galapagos Islands and Psidium guajava is one of the most aggressive invasive plants: it currently occupies large areas in the middle and upper zones of some of the islands. This study measures the future spread of Psidium guajava in the south-east area of Isabela Island, Galapagos. Satellite image processing was used to calculate the area of occupation in the years 1980, 2001 and 2009. Then, a Cellular Automata-Markov chains- GEOMOD (CAMarkovGEOMOD) model was made in order to represent a possible area of future occupancy of Psidium guajava. Results show a continuous invasion of this species in the entire study area and the model offuture spread predicts a greater extension of occupation areas in 2030: a spreading rate of 108, 64 Ha/year between 2009 and 2030 was calculated.
AB - Plant invasive species are one of the most important threats to the ecological stability of the Galapagos Islands and Psidium guajava is one of the most aggressive invasive plants: it currently occupies large areas in the middle and upper zones of some of the islands. This study measures the future spread of Psidium guajava in the south-east area of Isabela Island, Galapagos. Satellite image processing was used to calculate the area of occupation in the years 1980, 2001 and 2009. Then, a Cellular Automata-Markov chains- GEOMOD (CAMarkovGEOMOD) model was made in order to represent a possible area of future occupancy of Psidium guajava. Results show a continuous invasion of this species in the entire study area and the model offuture spread predicts a greater extension of occupation areas in 2030: a spreading rate of 108, 64 Ha/year between 2009 and 2030 was calculated.
UR - http://www.scopus.com/inward/record.url?scp=84920917691&partnerID=8YFLogxK
M3 - Artículo
AN - SCOPUS:84920917691
SN - 1686-6576
VL - 10
SP - 23
EP - 30
JO - International Journal of Geoinformatics
JF - International Journal of Geoinformatics
IS - 3
ER -