Simple Process-Based Simulators for Generating Spatial Patterns of Habitat Loss and Fragmentation: A Review and Introduction to the G-RaFFe Model

Fil: Pe'er, Guy. Helmholtz Centre for Environmental Research. Department of Conservation Biology; Germany.

Detalles Bibliográficos
Autores principales: Pe'er, Guy, Zurita, Gustavo Andrés, Schober, Lucia, Bellocq, Maria Isabel, Strer, Maximilian, Müller, Michael, Pütz, Sandro
Formato: Artículo publishedVersion
Lenguaje:Inglés
Publicado: Simon Thrush, National Institute of Water & Atmospheric Research, New Zealand 2013
Materias:
Acceso en línea:https://hdl.handle.net/20.500.12219/4997
Aporte de:
id I77-R195-20.500.12219-4997
record_format dspace
institution Universidad Nacional de Misiones
institution_str I-77
repository_str R-195
collection Repositorio Institucional Digital de la UNaM (RIDUNAM)
language Inglés
topic Forests
Land use
Farms
Habitats
Trees
Principal component analysis
Roads
Regression analysis
spellingShingle Forests
Land use
Farms
Habitats
Trees
Principal component analysis
Roads
Regression analysis
Pe'er, Guy
Zurita, Gustavo Andrés
Schober, Lucia
Bellocq, Maria Isabel
Strer, Maximilian
Müller, Michael
Pütz, Sandro
Simple Process-Based Simulators for Generating Spatial Patterns of Habitat Loss and Fragmentation: A Review and Introduction to the G-RaFFe Model
topic_facet Forests
Land use
Farms
Habitats
Trees
Principal component analysis
Roads
Regression analysis
description Fil: Pe'er, Guy. Helmholtz Centre for Environmental Research. Department of Conservation Biology; Germany.
format Artículo
Artículo
publishedVersion
author Pe'er, Guy
Zurita, Gustavo Andrés
Schober, Lucia
Bellocq, Maria Isabel
Strer, Maximilian
Müller, Michael
Pütz, Sandro
author_facet Pe'er, Guy
Zurita, Gustavo Andrés
Schober, Lucia
Bellocq, Maria Isabel
Strer, Maximilian
Müller, Michael
Pütz, Sandro
author_sort Pe'er, Guy
title Simple Process-Based Simulators for Generating Spatial Patterns of Habitat Loss and Fragmentation: A Review and Introduction to the G-RaFFe Model
title_short Simple Process-Based Simulators for Generating Spatial Patterns of Habitat Loss and Fragmentation: A Review and Introduction to the G-RaFFe Model
title_full Simple Process-Based Simulators for Generating Spatial Patterns of Habitat Loss and Fragmentation: A Review and Introduction to the G-RaFFe Model
title_fullStr Simple Process-Based Simulators for Generating Spatial Patterns of Habitat Loss and Fragmentation: A Review and Introduction to the G-RaFFe Model
title_full_unstemmed Simple Process-Based Simulators for Generating Spatial Patterns of Habitat Loss and Fragmentation: A Review and Introduction to the G-RaFFe Model
title_sort simple process-based simulators for generating spatial patterns of habitat loss and fragmentation: a review and introduction to the g-raffe model
publisher Simon Thrush, National Institute of Water & Atmospheric Research, New Zealand
publishDate 2013
url https://hdl.handle.net/20.500.12219/4997
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spelling I77-R195-20.500.12219-49972024-05-14T13:04:08Z Simple Process-Based Simulators for Generating Spatial Patterns of Habitat Loss and Fragmentation: A Review and Introduction to the G-RaFFe Model Pe'er, Guy Zurita, Gustavo Andrés Schober, Lucia Bellocq, Maria Isabel Strer, Maximilian Müller, Michael Pütz, Sandro Forests Land use Farms Habitats Trees Principal component analysis Roads Regression analysis Fil: Pe'er, Guy. Helmholtz Centre for Environmental Research. Department of Conservation Biology; Germany. Fil: Zurita, Gustavo Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Facultad de Ciencias Forestales. Instituto de Biología Subtropical; Argentina. Fil: Pe'er, Guy. Helmholtz Centre for Environmental Research. Department of Ecological Modelling; Germany. Fil: Strer, Maximilian. Helmholtz Centre for Environmental Research. Department of Conservation Biology; Germany. Fil: Strer, Maximilian. Helmholtz Centre for Environmental Research. Department of Ecological Modelling; Germany. Fil: Müller, Michael. Helmholtz Centre for Environmental Research. Department of Ecological Modelling; Germany. Fil: Pütz, Sandro. Helmholtz Centre for Environmental Research. Department of Conservation Biology; Germany. Fil: Pütz, Sandro. Helmholtz Centre for Environmental Research. Department of Ecological Modelling; Germany. Fil: Zurita, Gustavo Andrés. Universidad Nacional de Misiones. Facultad de Ciencias Forestales. Instituto de Biología Subtropical; Argentina. Fil: Schober, Lucia. University of Kassel. Center for Environmental Systems Research; Germany. Fil: Schober, Lucia. Helmholtz Centre for Environmental Research. Department of Conservation Biology; Germany. Fil: Schober, Lucia. Helmholtz Centre for Environmental Research. Department of Ecological Modelling; Germany. Fil: Bellocq, Maria Isabel. Consejo Nacional de Investigaciones Científicas y Técnicas. Facultad de Ciencias Exactas y Naturales. Departamento de Ecología, Genética y Evolución; Argentina. Fil: Bellocq, Maria Isabel. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ecología, Genética y Evolución; Argentina. Landscape simulators are widely applied in landscape ecology for generating landscape patterns. These models can be divided into two categories: pattern-based models that generate spatial patterns irrespective of the processes that shape them, and process-based models that attempt to generate patterns based on the processes that shape them. The latter often tend toward complexity in an attempt to obtain high predictive precision, but are rarely used for generic or theoretical purposes. Here we show that a simple process-based simulator can generate a variety of spatial patterns including realistic ones, typifying landscapes fragmented by anthropogenic activities. The model “G-RaFFe” generates roads and fields to reproduce the processes in which forests are converted into arable lands. For a selected level of habitat cover, three factors dominate its outcomes: the number of roads (accessibility), maximum field size (accounting for land ownership patterns), and maximum field disconnection (which enables field to be detached from roads). We compared the performance of G-RaFFe to three other models: Simmap (neutral model), Qrule (fractal-based) and Dinamica EGO (with 4 model versions differing in complexity). A PCA-based analysis indicated G-RaFFe and Dinamica version 4 (most complex) to perform best in matching realistic spatial patterns, but an alternative analysis which considers model variability identified G-RaFFe and Qrule as performing best. We also found model performance to be affected by habitat cover and the actual land-uses, the latter reflecting on land ownership patterns. We suggest that simple process-based generators such as G-RaFFe can be used to generate spatial patterns as templates for theoretical analyses, as well as for gaining better understanding of the relation between spatial processes and patterns. We suggest caution in applying neutral or fractal-based approaches, since spatial patterns that typify anthropogenic landscapes are often non-fractal in nature. 2013-05-28 info:eu-repo/semantics/article info:ar-repo/semantics/artículo info:eu-repo/semantics/publishedVersion https://hdl.handle.net/20.500.12219/4997 eng info:eu-repo/semantics/altIdentifier/urn/https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0064968 info:eu-repo/semantics/openAccess application/pdf application/pdf 7.925 MB Simon Thrush, National Institute of Water & Atmospheric Research, New Zealand