@InProceedings{SianiPessHardAnde:2017:ExStPa,
author = "Siani, Sacha Maru{\~a} Ortiz and Pess{\^o}a, Ana Carolina
Moreira and Harding, Torfinn and Anderson, Liana Oighenstein",
title = "Spatial analysis of enforcement for reducing deforestation in
Brazilian Amazon: an exploratory study in Par{\'a} state",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "7451--7458",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "Deforestation rates in Brazilian Amazon declined dramatically
since 2004. The expansion of protected areas (PA), law enforcement
and a set of policy interventions have contributed to this
decrease. This paper aims to develop an exploratory analysis of
the space-time patterns of seizures related to illegal logging in
the period between 2004 and 2015 for the state of Par{\'a}. We
used the IBAMAs seizures and DETER database to produce kernel
density maps for four periods between 2004 and 2015. The results
showed that the location of seizures operations was more
influenced by proximity to cities and mobility axes than by the
location of deforestation itself. In addition, places with high
rates of deforestation without law enforcement showed declines in
rates as well as those that had more enforcement. We also analyzed
spatial patterns of law enforcement with the presence of PAs
considering different institutional arrangements by comparing the
ratio between the number of IBAMAs seizure operations and the
deforested area and the distance to the nearest border of active
PAs. We found that enforcement was higher inside strictly
protected (SP) areas than sustainable use (SU), but SU areas have
higher influence on the enforcement in the outside, close to its
borders, probably due to the proximity to the cities and
consequent greater accessibility, leading to lower costs for their
execution.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59756",
language = "en",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSMFPD",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMFPD",
targetfile = "59756.pdf",
type = "Degrada{\c{c}}{\~a}o de florestas",
urlaccessdate = "27 abr. 2024"
}