@InProceedings{ArrautMacdKenw:2017:ToMePr,
author = "Arraut, Eduardo Moraes and Macdonald, David Whyte and Kenward,
Robert Eyres",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "Towards mechanistically predicting animal population abundance and
distribution within a real landscape",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "1776--1783",
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 = "We present preliminary results concerning a central problem in
Ecology with applied implications: to mechanistically predict
animal population abundance and distribution within a real
landscape. We approach it by combining Resource-Area-Dependence
Analysis (RADA) with individual-based modeling (IBM). Common
buzzards Buteo buteo in lowland UK were used to exemplify it. RADA
determined that a buzzard requires, on average, a tree for
roosting, 0.56ha of rough-ground and 15ha of grassland (good
habitats for small mammals). This information was used to define,
in the IBM, virtual animals with realistic resource-related
parameters and their values. Rules concerning maximum foraging
distances and territorial behavior were then included. The model
was run on the 1990 Land Cover Map of Great Britain. Its outputs
were: at the individual-level, home-range area, perimeter and
proportion of overlap (proxy for territoriality), and, at the
population-level, overall range, local density and carrying
capacity of the landscape for buzzards. Virtual buzzards
home-ranges and their pattern of overlap were indistinguishable
from those of wild buzzards. When compared with two independent
field-based estimates, predictions for carrying capacity of
211-226 individuals (100 model runs) suggested buzzards had
recovered from previous low levels and reached equilibrium density
in the area. As our approach relies on remote sensing for data
acquisition, it allows for modeling animals roaming over areas
that are huge, dangerous or difficult to access, and for using
historical and contemporary datasets and techniques. Future
advancements should allow for modeling of social or
non-territorial species, and for considering landscape management
scenarios in a climate change context.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59248",
language = "en",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSLPAP",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLPAP",
targetfile = "59248.pdf",
type = "Monitoramento e modelagem ambiental",
urlaccessdate = "27 abr. 2024"
}