规定火灾管理对未来南阿巴拉契亚森林演替轨迹的影响

IF 3.2 3区 环境科学与生态学 Q2 ECOLOGY
Kate Jones , Jelena Vukomanovic , Zachary J. Robbins , Robert M. Scheller
{"title":"规定火灾管理对未来南阿巴拉契亚森林演替轨迹的影响","authors":"Kate Jones ,&nbsp;Jelena Vukomanovic ,&nbsp;Zachary J. Robbins ,&nbsp;Robert M. Scheller","doi":"10.1016/j.ecolmodel.2025.111323","DOIUrl":null,"url":null,"abstract":"<div><div>Prescribed fire use has increased throughout the Southeastern U.S. and Southern Appalachian Mountains as an effective tool for landscape-scale fuels reduction and ecosystem restoration, yet may become more difficult in extreme weather conditions. The objective of this study is to assess long-term (100 year) forest response to divergent scenarios of climate and prescribed burning initiatives. We modeled 48, 6.25 ha sites distributed throughout western North Carolina that were selected by combining historical geospatial prescribed fire data and input from regional fire managers. For eight functional groups of tree species, we simulated 21 scenarios combining seven different prescribed fire intervals and three climate scenarios. We found that climate, burn interval, and initial forest community composition affect total biomass and functional group composition, with the least biomass occurring under hotter drier conditions and the greatest number of fires. Changes in functional group composition were most influenced by the initial forest community, then number of fires, then climate. Forest demographics were also sensitive to prescribed fire; young cohorts (&lt;30 years) increased only when sites were burned every 10 years or more frequently, while intermediate age cohorts (30–60 years) increased only when burned every 5 years, regardless of climate and initial forest community. Our simulations and scenario design help to discern the effect of varying climatic and weather conditions, fire management, and existing forest composition on future forests. This work can be used to support fire and natural resource management planning by exploring a range of uncertainty associated with different fire and climate conditions.</div></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"510 ","pages":"Article 111323"},"PeriodicalIF":3.2000,"publicationDate":"2025-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Prescribed fire management impacts on forest succession trajectories in future southern Appalachian forests\",\"authors\":\"Kate Jones ,&nbsp;Jelena Vukomanovic ,&nbsp;Zachary J. Robbins ,&nbsp;Robert M. Scheller\",\"doi\":\"10.1016/j.ecolmodel.2025.111323\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Prescribed fire use has increased throughout the Southeastern U.S. and Southern Appalachian Mountains as an effective tool for landscape-scale fuels reduction and ecosystem restoration, yet may become more difficult in extreme weather conditions. The objective of this study is to assess long-term (100 year) forest response to divergent scenarios of climate and prescribed burning initiatives. We modeled 48, 6.25 ha sites distributed throughout western North Carolina that were selected by combining historical geospatial prescribed fire data and input from regional fire managers. For eight functional groups of tree species, we simulated 21 scenarios combining seven different prescribed fire intervals and three climate scenarios. We found that climate, burn interval, and initial forest community composition affect total biomass and functional group composition, with the least biomass occurring under hotter drier conditions and the greatest number of fires. Changes in functional group composition were most influenced by the initial forest community, then number of fires, then climate. Forest demographics were also sensitive to prescribed fire; young cohorts (&lt;30 years) increased only when sites were burned every 10 years or more frequently, while intermediate age cohorts (30–60 years) increased only when burned every 5 years, regardless of climate and initial forest community. Our simulations and scenario design help to discern the effect of varying climatic and weather conditions, fire management, and existing forest composition on future forests. This work can be used to support fire and natural resource management planning by exploring a range of uncertainty associated with different fire and climate conditions.</div></div>\",\"PeriodicalId\":51043,\"journal\":{\"name\":\"Ecological Modelling\",\"volume\":\"510 \",\"pages\":\"Article 111323\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2025-08-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ecological Modelling\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0304380025003096\",\"RegionNum\":3,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ECOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecological Modelling","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0304380025003096","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

在整个美国东南部和南部阿巴拉契亚山脉,作为减少景观规模燃料和恢复生态系统的有效工具,规定的火灾使用已经增加,但在极端天气条件下可能变得更加困难。本研究的目的是评估长期(100年)森林对不同气候情景和规定燃烧措施的响应。我们通过结合历史地理空间规定的火灾数据和区域火灾管理人员的输入,对分布在北卡罗来纳州西部的48,6.25公顷的地点进行了建模。对于8个功能类群,我们模拟了21种不同的情景,包括7种不同的规定火灾间隔和3种气候情景。研究发现,气候、燃烧间隔和初始森林群落组成影响总生物量和功能群组成,在炎热干燥条件下发生的生物量最少,火灾次数最多。功能群组成的变化受原始森林群落的影响最大,其次是火灾次数,最后是气候。森林人口统计对规定的火也很敏感;年轻队列(30岁)仅在每10年或更频繁地焚烧一次时增加,而中年队列(30 - 60岁)仅在每5年焚烧一次时增加,无论气候和原始森林群落如何。我们的模拟和情景设计有助于辨别不同的气候和天气条件、火灾管理和现有森林成分对未来森林的影响。这项工作可以通过探索与不同火灾和气候条件相关的一系列不确定性来支持火灾和自然资源管理规划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prescribed fire management impacts on forest succession trajectories in future southern Appalachian forests
Prescribed fire use has increased throughout the Southeastern U.S. and Southern Appalachian Mountains as an effective tool for landscape-scale fuels reduction and ecosystem restoration, yet may become more difficult in extreme weather conditions. The objective of this study is to assess long-term (100 year) forest response to divergent scenarios of climate and prescribed burning initiatives. We modeled 48, 6.25 ha sites distributed throughout western North Carolina that were selected by combining historical geospatial prescribed fire data and input from regional fire managers. For eight functional groups of tree species, we simulated 21 scenarios combining seven different prescribed fire intervals and three climate scenarios. We found that climate, burn interval, and initial forest community composition affect total biomass and functional group composition, with the least biomass occurring under hotter drier conditions and the greatest number of fires. Changes in functional group composition were most influenced by the initial forest community, then number of fires, then climate. Forest demographics were also sensitive to prescribed fire; young cohorts (<30 years) increased only when sites were burned every 10 years or more frequently, while intermediate age cohorts (30–60 years) increased only when burned every 5 years, regardless of climate and initial forest community. Our simulations and scenario design help to discern the effect of varying climatic and weather conditions, fire management, and existing forest composition on future forests. This work can be used to support fire and natural resource management planning by exploring a range of uncertainty associated with different fire and climate conditions.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Ecological Modelling
Ecological Modelling 环境科学-生态学
CiteScore
5.60
自引率
6.50%
发文量
259
审稿时长
69 days
期刊介绍: The journal is concerned with the use of mathematical models and systems analysis for the description of ecological processes and for the sustainable management of resources. Human activity and well-being are dependent on and integrated with the functioning of ecosystems and the services they provide. We aim to understand these basic ecosystem functions using mathematical and conceptual modelling, systems analysis, thermodynamics, computer simulations, and ecological theory. This leads to a preference for process-based models embedded in theory with explicit causative agents as opposed to strictly statistical or correlative descriptions. These modelling methods can be applied to a wide spectrum of issues ranging from basic ecology to human ecology to socio-ecological systems. The journal welcomes research articles, short communications, review articles, letters to the editor, book reviews, and other communications. The journal also supports the activities of the [International Society of Ecological Modelling (ISEM)](http://www.isemna.org/).
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信