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Assessing Fire Hazard Potential And Its Main Drivers In Mazandaran Province, Iran: A Data-driven Approach

Hamed Adab, Azadeh Atabati, Sandra Luiza de Oliveira, Ahmad Moghaddam Gheshlagh
Published 2018 · Chemistry, Medicine
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Fires are a major disturbance to forest ecosystems and socioeconomic activities in Mazandaran province, northern Iran, particularly in the Hyrcanian forest sub-region. Mapping the spatial distribution of fire hazard levels and the most important influencing factors is crucial to enhance fire management strategies. In this research, MODIS hotspots were used to represent fire events covering Mazandaran Province over the period 2000–2016. We applied the ecological niche theory through the maximum entropy (MaxEnt) method to estimate fire hazard potential and the association with different anthropogenic and biophysical conditions, by applying different modeling approaches (heuristic, permutation, and jackknife metrics). Our results show that higher fire likelihood is related to density of settlements, distance to roads up to 3 km and to land cover types associated with agricultural activities, indicating a strong influence of human activities in fire occurrence in the region. To decrease fire hazard, prevention activities related to population awareness and the adjustment of farming practices need to be considered.
This paper references
Changing patterns of fire occurrence
J. Retana (2017)
10.1007/s11284-015-1293-z
Habitat selection of cavity-nesting birds in the Hyrcanian deciduous forests of northern Iran
Saeedeh Bani Assadi (2015)
10.1007/s11434-006-8115-1
Mapping forest fire risk zones with spatial data and principal component analysis
Dong Xu (2006)
10.1111/2041-210X.12252
Maxent is not a presence–absence method: a comment on Thibaud et al.
Gurutzeta Guillera-Arroita (2014)
10.7717/peerj.4095
SDMtoolbox 2.0: the next generation Python-based GIS toolkit for landscape genetic, biogeographic and species distribution model analyses
Jason L Brown (2017)
10.3390/e11040854
Use of Maximum Entropy Modeling in Wildlife Research
Roger A. Baldwin (2009)
Land cover fire
M. G. WF12027. Pereira (2014)
10.1109/DEXA.2004.25
A study of forest fire danger prediction system in Japan
Kohyu Satoh (2004)
10.1177/001316446002000104
A Coefficient of Agreement for Nominal Scales
Jacob Willem Cohen (1960)
10.4996/fireecology.0201031
Modeling spatial patterns of fuels and fire behavior in a longleaf pine forest in the Southeastern USA
Deborah Kennard (2006)
10.1071/WF12027
Modelling the determinants of ignition in the Sydney Basin, Australia: implications for future management
Trent D. Penman (2013)
Smoke production
R. D. Small (1985)
10.1016/j.apgeog.2014.04.002
Exploring the spatial patterns of fire density in Southern Europe using Geographically Weighted Regression
Sandra Oliveira (2014)
GIS analysis of spatial patterns
I. Jimenez (2008)
Fire activity as a function
C Andrea (2015)
10.2307/2388024
The Storage and Production of Organic Matter in Tropical Forests and Their Role in the Global Carbon Cycle
Sandra A. Brown (1982)
10.1002/JOC.5086
WorldClim 2: new 1-km spatial resolution climate surfaces for global land areas
Stephen E Fick (2017)
10.5194/gmdd-8-2271-2015
System for automated geoscientific analyses (SAGA) v. 2.1.4
Olaf Conrad (2015)
10.1126/science.1163886
Fire in the Earth System
David M J S Bowman (2009)
10.1080/19475705.2016.1155501
Modelling spatial patterns of wildfire occurrence in South-Eastern Australia
Yang Zhang (2016)
10.1111/geb.12095
Integration of ecological and socio‐economic factors to assess global vulnerability to wildfire
Emilio Chuvieco (2013)
10.5860/choice.32-0929
Fire Ecology of Pacific Northwest Forests
James K. Agee (1993)
10.1073/pnas.1211466110
Defining pyromes and global syndromes of fire regimes
Sally Archibald (2013)
10.1109/IGARSS.2011.6050017
Characteristics of ASTER GDEM version 2
Tetsushi Tachikawa (2011)
10.1071/WF07098
Regional variations in wildfire susceptibility of land-cover types in Portugal: implications for landscape management to minimize fire hazard
Francisco Moreira (2009)
10.1371/journal.pone.0084760
Wildfire Selectivity for Land Cover Type: Does Size Matter?
Ana M. G. Barros (2014)
10.1007/s11027-005-9020-7
Forest Fires and Climate Change in the 21ST Century
M. E. Flannigan (2006)
10.1371/journal.pone.0179294
Land cover, more than monthly fire weather, drives fire-size distribution in Southern Québec forests: Implications for fire risk management
Jean Marchal (2017)
10.1016/j.agrformet.2017.01.021
Assessing the role of drought events on wildfires in the Iberian Peninsula
Ana Carolina Russo (2017)
Forest and woodland
A. Shvidenko (2005)
10.1002/env.2287
Burning issues: statistical analyses of global fire data to inform assessments of environmental change
Meg A Krawchuk (2014)
10.1071/WF14208
Anthropogenic effects on global mean fire size
Stijn Hantson (2015)
10.1007/s10661-005-9122-4
Spatial Distribution of Forest Fires and Controlling Factors in Andhra Pradesh, India Using Spot Satellite Datasets
Krishna Prasad Vadrevu (2006)
10.1080/03650340.2015.1065607
Geostatistics-based spatial distribution of soil moisture and temperature regime classes in Mazandaran province, northern Iran
Mostafa Emadi (2016)
10.1007/s10661-016-5532-8
Risk of fire occurrence in arid and semi-arid ecosystems of Iran: an investigation using Bayesian belief networks
Hossein Bashari (2016)
10.2505/4/ss13_037_01_70
Modeling the Forest
Kelly Stumer (2013)
10.1371/journal.pone.0161323
Increased Wildfire Risk Driven by Climate and Development Interactions in the Bolivian Chiquitania, Southern Amazonia
Tahia Devisscher (2016)
10.1071/WF11178
Wildfire ignition-distribution modelling: a comparative study in the Huron–Manistee National Forest, Michigan, USA
Avi Bar Massada (2013)
10.1007/978-90-481-9806-1_1
Forests, Trees and Human Health and Well-being: Introduction
Kjell Nilsson (2011)
A study of forest fire
K. Satoh (2004)
System for automated geoscientific
L Gerlitz (2015)
10.1016/j.rse.2004.06.013
Mapping wildfire occurrence at regional scale
Juan de la Riva (2004)
10.1007/BF02802742
Marsh surface sediment deposition and the role of tidal creeks: Implications for created and managed coastal marshes
Denise J. Reed (1999)
10.1088/1748-9326/11/7/075005
The spatially varying influence of humans on fire probability in North America
Marc-André Parisien (2016)
10.1139/X10-098
Alaska’s changing fire regime -- implications for the vulnerability of its boreal forests
Eric S. Kasischke (2010)
10.1002/jgrg.20042
Analysis of daily, monthly, and annual burned area using the fourth-generation global fire emissions database (GFED4)
Louis Giglio (2013)
10.1080/19475705.2016.1206629
Spatial-statistical analysis of factors determining forest fires: a case study from Golestan, Northeast Iran
Omid Abdi (2018)
10.1016/j.ecoleng.2009.11.013
Managing road corridors to limit fire hazard. A simulation approach in southern France.
Thomas Curt (2010)
10.1007/978-94-007-2208-8_2
Land Cover Change and Fire Regime in the European Mediterranean Region
Jesús San-Miguel-Ayanz (2012)
10.1071/WF13005
Dead fuel moisture research: 1991-2012
Stuart Matthews (2014)
10.1016/s0166-2481(08)x0001-7
Geomorphometry: Concepts, software, applications
Tomislav Hengl (2009)
10.1016/j.rse.2016.02.054
The collection 6 MODIS active fire detection algorithm and fire products
Louis Giglio (2016)
10.1890/07-1289.1
Environmental controls on the distribution of wildfire at multiple spatial scales
Marc-André Parisien (2009)
10.1641/0006-3568(2004)054[0661:TIOFFA]2.0.CO;2
The Interaction of Fire, Fuels, and Climate across Rocky Mountain Forests
Tania Schoennagel (2004)
On the calculation of the topographic wetness index : evaluation of different methods based on field observations
R. Sørensen (2006)
10.5194/bg-14-2755-2017
Changing patterns of fire occurrence in proximity to forest edges, roads and rivers between NW Amazonian countries
Dolors Armenteras (2017)
10.1071/WF02018
Mediterranean fuel models and potential fire behaviour in Greece
Alexandros Dimitrakopoulos (2002)
10.1890/0012-9658(2002)083[2248:ESORWD]2.0.CO;2
ESTIMATING SITE OCCUPANCY RATES WHEN DETECTION PROBABILITIES ARE LESS THAN ONE
Darryl I. Mackenzie (2002)
10.1016/j.foreco.2012.03.003
Modeling spatial patterns of fire occurrence in Mediterranean Europe using Multiple Regression and Random Forest
Sandra Oliveira (2012)
10.1111/j.2006.0906-7590.04596.x
Novel methods improve prediction of species' distributions from occurrence data
Jane Elith (2006)
10.1007/s10980-008-9190-2
GIS analysis of spatial patterns of human-caused wildfire ignition risk in the SW of Madrid (Central Spain)
Raul Romero-Calcerrada (2008)
10.1088/1748-9326/10/11/114013
Fire activity as a function of fire–weather seasonal severity and antecedent climate across spatial scales in southern Europe and Pacific western USA
Itzíar Rodríguez Urbieta (2015)
Köppen’s climate
J. Leonardo (2013)
10.1016/j.ecoser.2017.05.008
The value of ecosystem services obtained from the protected forest of Cambodia: The case of Veun Sai-Siem Pang National Park
Abu S.M.G. Kibria (2017)
Mediterranean fuel models and
A. P. Dimitrakopoulos (2002)
10.17221/7/2017-JFS
Evaluation of forest fire risk using the Apriori algorithm and fuzzy c-means clustering
Ali Akbar Jafarzadeh (2017)
10.5194/ISPRS-ARCHIVES-XLII-4-W4-477-2017
PROVIDING THE FIRE RISK MAP IN FOREST AREA USING A GEOGRAPHICALLY WEIGHTED REGRESSION MODEL WITH GAUSSIN KERNEL AND MODIS IMAGES, A CASE STUDY: GOLESTAN PROVINCE
A. Shah-Heydari pour (2017)
Vegetation Fires in the Asian Region: Satellite Observational Needs and Priorities
Krishna Prasad Vadrevu (2011)
10.1007/978-90-481-9806-1
Contributions of Natural Environments to Physical Activity : Theory and Evidence Base
Sjerp de Vries (2009)
10.1086/528754
Ecological Niche Modeling and Distribution of Wild Sunflower (Helianthus annuus L.) in Mexico
David L. Lentz (2008)
10.3390/f6051422
Modeling Forest Lightning Fire Occurrence in the Daxinganling Mountains of Northeastern China with MAXENT
Feng Chen (2015)
10.3390/rs8110961
Estimating and Up-Scaling Fuel Moisture and Leaf Dry Matter Content of a Temperate Humid Forest Using Multi Resolution Remote Sensing Data
Hamed Adab (2016)
GlobCover: ESA service
C Brockman (2007)
10.1111/j.1523-1739.2011.01754.x
Predicting species distributions from samples collected along roadsides.
Kyle P. McCarthy (2012)
The fire situation in Islamic Republic of Iran
G. B. Allard (2001)
10.1029/2005GB002529
Global distribution of agricultural fires in croplands from 3 years of Moderate Resolution Imaging Spectroradiometer (MODIS) data
Stefania Korontzi (2006)
10.1016/j.ecolmodel.2005.03.026
Maximum entropy modeling of species geographic distributions
Steven J. Phillips (2006)
10.1071/WF07087
Predicting spatial patterns of fire on a southern California landscape
Alexandra D. Syphard (2008)
10.1071/WF10109
Environmental susceptibility model for predicting forest fire occurrence in the Western Ghats of India
Quentin Renard (2012)
Assessing the role of drought
R. M. Trigo (2017)
A probability model for long
T. Šturm (2017)
10.1080/19475705.2015.1084541
Mapping regional forest fire probability using artificial neural network model in a Mediterranean forest ecosystem
Onur Şatir (2016)
Plant biodiversity of Hyrcanian relict forests, N Iran: an overview of the flora, vegetation, palaeoecology and conservation.
Hossein Akhani (2010)
10.1111/2041-210X.12200
SDMtoolbox: a python-based GIS toolkit for landscape genetic, biogeographic and species distribution model analyses
Jason L Brown (2014)
10.1890/06-1128.1
Human influence on California fire regimes.
Alexandra D. Syphard (2007)
10.1016/j.ecolmodel.2011.04.011
Species-specific tuning increases robustness to sampling bias in models of species distributions: an implementation with Maxent.
Robert P. Anderson (2011)
Forest and woodlands systems
Anatoly Shvidenko (2005)
Integration of ecological and socio
M. L. Pettinari (2014)
10.1016/j.landurbplan.2010.11.017
Land use and topography influences on wildfire occurrence in northern Portugal
Miguel Carmo (2011)
10.1007/s11842-013-9244-4
Forest Fire Risk Zone Modeling Using Logistic Regression and GIS: An Iranian Case Study
Frouzan Mohammadi (2013)
On the calculation
R. Sørensen (2006)
10.1016/j.agrformet.2016.11.002
A hybrid artificial intelligence approach using GIS-based neural-fuzzy inference system and particle swarm optimization for forest fire susceptibility modeling at a tropical area
Dieu Tien Bui (2017)
10.1016/j.scitotenv.2016.03.121
Exploring spatial patterns and drivers of forest fires in Portugal (1980-2014).
Adélia Nunes (2016)
10.1016/j.jenvman.2011.12.017
Pastoral wildfires in the Mediterranean: understanding their linkages to land cover patterns in managed landscapes.
Jabier Ruiz-Mirazo (2012)
The MODIS fire products
C. O. Justicea (2002)
10.1007/s11069-017-2850-2
Landfire hazard assessment in the Caspian Hyrcanian forest ecoregion with the long-term MODIS active fire data
Hamed Adab (2017)
10.1016/j.ecolmodel.2013.12.012
Spatial filtering to reduce sampling bias can improve the performance of ecological niche models
Robert A. Boria (2014)
10.1071/WF15192
A probability model for long-term forest fire occurrence in the Karst forest management area of Slovenia
Tomaž Šturm (2017)
10.5194/nhess-13-311-2013
Modelling long-term fire occurrence factors in Spain by accounting for local variations with geographically weighted regression
Jesús Martínez-Fernández (2013)
10.1016/j.jenvman.2016.02.013
Mapping regional patterns of large forest fires in Wildland-Urban Interface areas in Europe.
Sirio Modugno (2016)
Mapping Species Distributions: Spatial Inference and Prediction
Janet Franklin (2010)
Fire activity as a function of fire – weather seasonal severity and antecedent climate across spatial scales in southern Europe and Pacific western USA
John T. Abatzoglou (2015)
10.4269/ajtmh.2009.81.59
Hantavirus infection and habitat associations among rodent populations in agroecosystems of Panama: implications for human disease risk.
Anibal G Armién (2009)
10.1007/s11676-015-0107-z
Modeling forest fires in Mazandaran Province, Iran
Amir T. Payandeh Najafabadi (2015)
10.1016/j.scitotenv.2017.06.219
Understanding fire drivers and relative impacts in different Chinese forest ecosystems.
Futao Guo (2017)
10.3897/natureconservation.19.11838
The great capricorn beetle Cerambyx cerdo L. in south-western Poland – the current state and perspectives of conservation in one of the recent distribution centres in Central Europe
Marcin Kadej (2017)
A hybrid Artificial Intelligence-Neuro Architecture
Georg Hartmann (1999)
Japanese encephalitis virus in Asia. PLoS Neglected Tropical Diseases
R. e1678. Mirzaei (2013)
10.1127/0941-2948/2013/0507
Köppen's climate classification map for Brazil
Clayton Alcarde Alvares (2013)
10.1109/IGARSS.2007.4423328
GlobCover: ESA service for global land cover from MERIS
Olivier Arino (2007)
10.1016/j.jag.2015.05.006
Fire danger assessment in Iran based on geospatial information
Saeedeh Eskandari (2015)
10.1071/WF16135
An empirical machine learning method for predicting potential fire control locations for pre-fire planning and operational fire management
Christopher D. O’ Connor (2017)
10.1071/WF08187
Implications of changing climate for global wildland fire
Mike D. Flannigan (2009)
Assessment of fire
M. C. Wimberly (2007)
10.1093/forestry/cpv045
Evaluating fire modelling systems in recent wildfires of the Golestan National Park, Iran
Roghayeh Jahdi (2016)
10.3389/fmars.2016.00034
Present and Future Potential Habitat Distribution of Carcharhinus falciformis and Canthidermis maculata By-Catch Species in the Tropical Tuna Purse-Seine Fishery under Climate Change
Nerea Lezama-Ochoa (2016)
Managing road corridors to limit
T. Curt (2010)
10.1890/1051-0761(1999)009[0880:OFMFMC]2.0.CO;2
OPTIMAL FIRE MANAGEMENT FOR MAINTAINING COMMUNITY DIVERSITY
Shane A. Richards (1999)
10.1139/x88-174
Litter dynamics in two Sierran mixed conifer forests. I. Litterfall and decomposition rates
Thomas J. Stohlgren (1988)
10.1016/J.APGEOG.2017.09.004
Assessing the social context of wildfire-affected areas: the case of mainland Portugal
Sandra Oliveira (2017)
10.1016/j.procs.2012.09.070
Estimation of the Burned Area in Forest Fires Using Computational Intelligence Techniques
Ahmet Murat Ozbayoglu (2012)
10.3390/rs8040347
Tropical Forest Fire Susceptibility Mapping at the Cat Ba National Park Area, Hai Phong City, Vietnam, Using GIS-Based Kernel Logistic Regression
Dieu Tien Bui (2016)
10.1016/j.apgeog.2014.05.015
Using multi variate data mining techniques for estimating fire susceptibility of Tyrolean forests
Alexander Arpaci (2014)
10.12944/cwe.10.3.19
Assessing Environmental Sensitivity Areas to Desertification in North of Iran
Ameneh Sobhani (2015)
10.1016/j.sbspro.2012.03.037
Community Perception of Tourism Impacts and Their Participation in Tourism Planning: A Case Study of Ramsar, Iran
Sajad Alipour Eshliki (2012)
10.1111/j.0906-7590.2005.03957.x
Selecting thresholds of occurrence in the prediction of species distributions
Canran Liu (2005)
10.1016/0304-3800(92)90003-W
Comparing global vegetation maps with the Kappa statistic
Robert A. Monserud (1992)
10.1007/s00267-012-9961-z
A Review of the Main Driving Factors of Forest Fire Ignition Over Europe
Anne Ganteaume (2012)
Information and data flow analysis for forestry sector in Iran as a basic requirement for designing a forest information system (FIS)
A. H. Mahdavi (2007)
Spatial Statistical Analysis of Lansing Woods Data
Li Hui-qiong (2008)
10.2136/sssaj2000.6451826x
Soil color as an indicator of slash-and-burn fire severity and soil fertility in Sumatra, Indonesia.
Quirine M. Ketterings (2000)
The human dimension of fire
Bowman (2011)
10.4103/2423-7752.199288
Forest Fire Risk Zone Mapping Using RS and GIS Techniques: A Study in Achankovil Forest Division, Kerala, India
R. Ajin (2016)
10.1126/science.229.4712.465
Smoke Production from Multiple Nuclear Explosions in Nonurban Areas
Richard D. Small (1985)
10.5194/hess-10-101-2006
On the calculation of the topographic wetness index: evaluation of different methods based on field observations
Rasmus Bo Sorensen (2005)
10.1016/j.scitotenv.2016.03.129
Space-time clustering analysis of wildfires: The influence of dataset characteristics, fire prevention policy decisions, weather and climate.
Joana Parente (2016)
10.1080/11263500903233250
Assessing the relative fire proneness of different forest types in Portugal
Joaquim S. Silva (2009)
10.1371/journal.pone.0005102
Global Pyrogeography: the Current and Future Distribution of Wildfire
Meg A Krawchuk (2009)
10.1371/journal.pone.0035728
Protecting Persistent Dynamic Oceanographic Features: Transboundary Conservation Efforts Are Needed for the Critically Endangered Balearic Shearwater
Maite Louzao (2012)
The storage and production
S. Brown (1982)
Modelling long-term fire occurrence factors in Spain by accounting for local variations with geographically weighted
J. Martínez-Fernández (2013)
10.1016/j.ecoleng.2014.03.008
Ecological species group—Environmental factors relationships in unharvested beech forests in the north of Iran
Mohammad Naghi Adel (2014)
10.1071/WF13113
Modelling static fire hazard in a semi-arid region using frequency analysis
Hamed Adab (2015)
10.1016/0378-1127(76)90030-X
Fire and Fuel Dynamics of Sierra Nevada Conifers
James K. Agee (1976)
10.1007/0-306-47959-1_10
Climate and Vegetation as Driving Factors in Global Fire Activity
Edward Dwyer (2000)
10.1111/j.0906-7590.2006.04700.x
The effect of sample size and species characteristics on performance of different species distribution modeling methods
Pilar Ortiz Hernández (2006)
10.5424/fs/2014233-06115
Land cover fire proneness in Europe
Mário G. Pereira (2014)
10.1071/WF11142
Effect of land-cover change on Africa’s burnt area
Jean-Marie Grégoire (2013)
10.5194/bg-11-1085-2014
Impact of human population density on fire frequency at the global scale
Wolfgang Knorr (2013)
Maxent modeling for predicting suitable habitat for threatened and endangered tree Canacomyrica monticola in New Caledonia
S. Nagendra Kumar (2009)
10.1111/1365-2664.12847
Density‐dependent vulnerability of forest ecosystems to drought
Alessandra Bottero (2017)
10.1007/s13762-017-1371-6
Spatial prediction of wildfire probability in the Hyrcanian ecoregion using evidential belief function model and GIS
Mohammad Hussein Nami (2017)
Novel methods improve prediction
A Guisan (2006)
Incidence of forest fire
K. Chandra (2015)
Mapping wildfire vulnerability
A. Sebastián-López (2018)
Pastoral wildfires in the Mediterranean
e. m (2012)
10.1016/j.jenvman.2017.10.003
Mapping wildfire vulnerability in Mediterranean Europe. Testing a stepwise approach for operational purposes.
Sandra Oliveira (2018)
10.1111/ddi.12096
The importance of correcting for sampling bias in MaxEnt species distribution models
Stephanie Kramer-Schadt (2013)
10.1016/j.rse.2006.03.019
Assessment of fire severity and species diversity in the southern Appalachians using Landsat TM and ETM+ imagery
Michael C. Wimberly (2007)
Forests and rangelands? wildfire risk zoning using GIS and AHP techniques
Ali Mahdavi (2012)
10.1016/S0034-4257(02)00076-7
The MODIS fire products
Christopher O. Justice (2002)
10.1371/journal.pntd.0001678
Ecological Niche Modeling to Estimate the Distribution of Japanese Encephalitis Virus in Asia
Robin H. Miller (2012)
Predicting species distributions from small numbers of occurrence records: a test case using cryptic geckos in Madagascar
Miguel Nakamura Savoy (2007)
10.1139/x88-175
Litter dynamics in two Sierran mixed conifer forests. II. Nutrient release in decomposing leaf litter
Thomas J. Stohlgren (1988)
10.1890/07-1183.1
Climate and wildfire area burned in western U.S. ecoprovinces, 1916-2003.
Jeremy S. Littell (2009)
Degradation stages of the Hyrcanian forests in southern Azerbaijan
Tobias Scharnweber (2007)
10.1371/journal.pone.0081188
Relationships between Human Population Density and Burned Area at Continental and Global Scales
Ioannis Bistinas (2013)
10.2307/2258788
Forest Energy and Economic Development.
J. N. R. Jeffers (1975)
The great capricorn beetle
A Malkiewicz (2017)
Forest fire
R. Ajin (2016)
Incidence of Forest Fire in India and Its Effect on Terrestrial Ecosystem Dynamics, Nutrient and Microbial Status of Soil
K. K. Chandra (2015)
Vegetation fires in the Asian
K. P. Vadrevu (2011)
10.1016/S0048-9697(01)01067-1
Human ecological intervention and the role of forest fires in human ecology.
Niccolo Leo Caldararo (2002)
10.1016/j.foreco.2010.02.025
Forest fire effects in beech dominated mountain forest of Iran.
Abbas Banj Shafiei (2010)
Global Forest Resources Assessment 2015: how are the world's forests changing?
K. MacDicken (2015)
10.1111/j.1365-2699.2011.02595.x
The human dimension of fire regimes on Earth
David Mjs Bowman (2011)
10.1111/j.0906-7590.2004.03764.x
Presence-absence versus presence-only modelling methods for predicting bird habitat suitability
Lluís Brotons (2004)
10.1016/j.envsoft.2014.03.003
An insight into machine-learning algorithms to model human-caused wildfire occurrence
Marcos Rodrigues (2014)
10.1016/j.rse.2012.12.004
Strengths and weaknesses of MODIS hotspots to characterize global fire occurrence
Stijn Hantson (2013)



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