No Cover Image

Journal article 507 views 118 downloads

PeatFire: an agent-based model to simulate fire ignition and spreading in a tropical peatland ecosystem

Kirana Widyastuti, Muhammad Ali Imron, Subyantoro Tri Pradopo, Hatma Suryatmojo, Bertha Maya Sopha, Allan Spessa, Uta Berger

International Journal of Wildland Fire, Volume: 30, Issue: 2, Start page: 71

Swansea University Author: Allan Spessa

  • 57537.pdf

    PDF | Version of Record

    Open Access article, released under the terms of a CC BY-NC-ND license

    Download (1.69MB)

Check full text

DOI (Published version): 10.1071/wf19213

Abstract

The increased frequency and spread of tropical peat fires over the last two decades have attracted global attention because they cause significant environmental and health impacts at local to global scales. To understand the relative importance of key factors controlling tropical peatland burning ev...

Full description

Published in: International Journal of Wildland Fire
ISSN: 1049-8001
Published: CSIRO Publishing 2020
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa57537
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2021-08-05T14:06:56Z
last_indexed 2021-09-09T03:20:57Z
id cronfa57537
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2021-09-08T15:11:08.6772425</datestamp><bib-version>v2</bib-version><id>57537</id><entry>2021-08-05</entry><title>PeatFire: an agent-based model to simulate fire ignition and spreading in a tropical peatland ecosystem</title><swanseaauthors><author><sid>4cd392e40ebc82bd13c0117d07b28d81</sid><firstname>Allan</firstname><surname>Spessa</surname><name>Allan Spessa</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2021-08-05</date><deptcode>FGSEN</deptcode><abstract>The increased frequency and spread of tropical peat fires over the last two decades have attracted global attention because they cause significant environmental and health impacts at local to global scales. To understand the relative importance of key factors controlling tropical peatland burning events, we developed PeatFire, an agent-based model simulating the interaction between human-induced ignitions, fire and peat characteristics. The model describes (1) above- and belowground fires, which spread independently but interact with each other; (2) above- and belowground biomass; and (3) the watertable determining peat dryness and susceptibility to fire. We applied PeatFire to a region in South Sumatra that has experienced profound natural rainforest loss due to peat fires. Sensitivity analysis of the model suggests that fire sizes depend mostly on watertable depth, peat-dry-index and number of dry days before ignition. Using pattern-oriented modelling, these factors were parameterised so that the model output matches spatiotemporal fire patterns observed in the study region in 2015. Our results emphasise the risk of a sudden shift from moderate fire occurrence to complete burning and highlight the importance of local context to peatland regulation, which should consider both biophysical and socioeconomic factors and strategies for peatland fire management.</abstract><type>Journal Article</type><journal>International Journal of Wildland Fire</journal><volume>30</volume><journalNumber>2</journalNumber><paginationStart>71</paginationStart><paginationEnd/><publisher>CSIRO Publishing</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>1049-8001</issnPrint><issnElectronic/><keywords>agent-based model, burnt area, degraded habitat, Indonesia, peatland, tropical peat fire, watertable depth, wildlife reserve</keywords><publishedDay>11</publishedDay><publishedMonth>11</publishedMonth><publishedYear>2020</publishedYear><publishedDate>2020-11-11</publishedDate><doi>10.1071/wf19213</doi><url/><notes/><college>COLLEGE NANME</college><department>Science and Engineering - Faculty</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>FGSEN</DepartmentCode><institution>Swansea University</institution><apcterm>Other</apcterm><funders>This study forms part of the Towards a Fire Early Warning System for Indonesia (ToFEWSI) project (Oct 2017&#x2013;Oct 2021), which is funded by the UK&#x2019;s National Environment Research Council &#x2013; Newton Fund Project (NE/P014801/1), Lembaga Pengelola Dana Pendidikan (LPDP) and the Indonesian Science Fund (principal investigators: Allan Spessa and Muhammad Ali Imron).</funders><lastEdited>2021-09-08T15:11:08.6772425</lastEdited><Created>2021-08-05T15:04:56.7436927</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Biosciences, Geography and Physics - Geography</level></path><authors><author><firstname>Kirana</firstname><surname>Widyastuti</surname><order>1</order></author><author><firstname>Muhammad Ali</firstname><surname>Imron</surname><order>2</order></author><author><firstname>Subyantoro Tri</firstname><surname>Pradopo</surname><order>3</order></author><author><firstname>Hatma</firstname><surname>Suryatmojo</surname><order>4</order></author><author><firstname>Bertha Maya</firstname><surname>Sopha</surname><order>5</order></author><author><firstname>Allan</firstname><surname>Spessa</surname><order>6</order></author><author><firstname>Uta</firstname><surname>Berger</surname><order>7</order></author></authors><documents><document><filename>57537__20560__91a6566142c74f49bbc351befb3d37f3.pdf</filename><originalFilename>57537.pdf</originalFilename><uploaded>2021-08-05T15:07:17.7120718</uploaded><type>Output</type><contentLength>1774103</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><documentNotes>Open Access article, released under the terms of a CC BY-NC-ND license</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>http://creativecommons.org/licenses/by-nc-nd/4.0/deed.en_US</licence></document></documents><OutputDurs/></rfc1807>
spelling 2021-09-08T15:11:08.6772425 v2 57537 2021-08-05 PeatFire: an agent-based model to simulate fire ignition and spreading in a tropical peatland ecosystem 4cd392e40ebc82bd13c0117d07b28d81 Allan Spessa Allan Spessa true false 2021-08-05 FGSEN The increased frequency and spread of tropical peat fires over the last two decades have attracted global attention because they cause significant environmental and health impacts at local to global scales. To understand the relative importance of key factors controlling tropical peatland burning events, we developed PeatFire, an agent-based model simulating the interaction between human-induced ignitions, fire and peat characteristics. The model describes (1) above- and belowground fires, which spread independently but interact with each other; (2) above- and belowground biomass; and (3) the watertable determining peat dryness and susceptibility to fire. We applied PeatFire to a region in South Sumatra that has experienced profound natural rainforest loss due to peat fires. Sensitivity analysis of the model suggests that fire sizes depend mostly on watertable depth, peat-dry-index and number of dry days before ignition. Using pattern-oriented modelling, these factors were parameterised so that the model output matches spatiotemporal fire patterns observed in the study region in 2015. Our results emphasise the risk of a sudden shift from moderate fire occurrence to complete burning and highlight the importance of local context to peatland regulation, which should consider both biophysical and socioeconomic factors and strategies for peatland fire management. Journal Article International Journal of Wildland Fire 30 2 71 CSIRO Publishing 1049-8001 agent-based model, burnt area, degraded habitat, Indonesia, peatland, tropical peat fire, watertable depth, wildlife reserve 11 11 2020 2020-11-11 10.1071/wf19213 COLLEGE NANME Science and Engineering - Faculty COLLEGE CODE FGSEN Swansea University Other This study forms part of the Towards a Fire Early Warning System for Indonesia (ToFEWSI) project (Oct 2017–Oct 2021), which is funded by the UK’s National Environment Research Council – Newton Fund Project (NE/P014801/1), Lembaga Pengelola Dana Pendidikan (LPDP) and the Indonesian Science Fund (principal investigators: Allan Spessa and Muhammad Ali Imron). 2021-09-08T15:11:08.6772425 2021-08-05T15:04:56.7436927 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Geography Kirana Widyastuti 1 Muhammad Ali Imron 2 Subyantoro Tri Pradopo 3 Hatma Suryatmojo 4 Bertha Maya Sopha 5 Allan Spessa 6 Uta Berger 7 57537__20560__91a6566142c74f49bbc351befb3d37f3.pdf 57537.pdf 2021-08-05T15:07:17.7120718 Output 1774103 application/pdf Version of Record true Open Access article, released under the terms of a CC BY-NC-ND license true eng http://creativecommons.org/licenses/by-nc-nd/4.0/deed.en_US
title PeatFire: an agent-based model to simulate fire ignition and spreading in a tropical peatland ecosystem
spellingShingle PeatFire: an agent-based model to simulate fire ignition and spreading in a tropical peatland ecosystem
Allan Spessa
title_short PeatFire: an agent-based model to simulate fire ignition and spreading in a tropical peatland ecosystem
title_full PeatFire: an agent-based model to simulate fire ignition and spreading in a tropical peatland ecosystem
title_fullStr PeatFire: an agent-based model to simulate fire ignition and spreading in a tropical peatland ecosystem
title_full_unstemmed PeatFire: an agent-based model to simulate fire ignition and spreading in a tropical peatland ecosystem
title_sort PeatFire: an agent-based model to simulate fire ignition and spreading in a tropical peatland ecosystem
author_id_str_mv 4cd392e40ebc82bd13c0117d07b28d81
author_id_fullname_str_mv 4cd392e40ebc82bd13c0117d07b28d81_***_Allan Spessa
author Allan Spessa
author2 Kirana Widyastuti
Muhammad Ali Imron
Subyantoro Tri Pradopo
Hatma Suryatmojo
Bertha Maya Sopha
Allan Spessa
Uta Berger
format Journal article
container_title International Journal of Wildland Fire
container_volume 30
container_issue 2
container_start_page 71
publishDate 2020
institution Swansea University
issn 1049-8001
doi_str_mv 10.1071/wf19213
publisher CSIRO Publishing
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Biosciences, Geography and Physics - Geography{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Biosciences, Geography and Physics - Geography
document_store_str 1
active_str 0
description The increased frequency and spread of tropical peat fires over the last two decades have attracted global attention because they cause significant environmental and health impacts at local to global scales. To understand the relative importance of key factors controlling tropical peatland burning events, we developed PeatFire, an agent-based model simulating the interaction between human-induced ignitions, fire and peat characteristics. The model describes (1) above- and belowground fires, which spread independently but interact with each other; (2) above- and belowground biomass; and (3) the watertable determining peat dryness and susceptibility to fire. We applied PeatFire to a region in South Sumatra that has experienced profound natural rainforest loss due to peat fires. Sensitivity analysis of the model suggests that fire sizes depend mostly on watertable depth, peat-dry-index and number of dry days before ignition. Using pattern-oriented modelling, these factors were parameterised so that the model output matches spatiotemporal fire patterns observed in the study region in 2015. Our results emphasise the risk of a sudden shift from moderate fire occurrence to complete burning and highlight the importance of local context to peatland regulation, which should consider both biophysical and socioeconomic factors and strategies for peatland fire management.
published_date 2020-11-11T04:13:21Z
_version_ 1763753907132039168
score 11.012678

Similar Items