巴西巴拉圭河上游流域对火灾敏感的濒危植物:确定综合火灾管理和生态恢复的优先区域

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2024-09-25 DOI:10.1016/j.ecoleng.2024.107411
Paula Isla Martins , Liz Barreto Coelho Belém , Luiza Moura Peluso , Judit Kriszta Szabo , Weverton Carlos Ferreira Trindade , Arnildo Pott , Geraldo Alves Damasceno Junior , Daniel Jimenez , Roberta Marques , A. Townsend Peterson , Renata Libonati , Letícia Couto Garcia
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引用次数: 0

摘要

极端野火是世界各地不同地貌中日益严重的问题。在世界最大的连续湿地潘塔纳尔(Pantanal),我们对最近发生的野火进行了研究,以确定恢复工作的优先次序并减轻未来野火的影响。利用生态位建模(ENM),我们根据火灾可能造成的退化程度以及受威胁植物和对火敏感植物的预测适宜性对受灾地区进行了分类。根据这些信息,我们确定了防火的关键区域。根据预测的 2050 年土地植被变化情况,未来受威胁的土地植被中约有 25% 可能具有较高的生物量积累。我们确定了 1272 平方公里的森林形成重点区域,其恢复成本至少为 576,189 美元。本案例研究提供了一个分析工作流程,可用于评估世界上其他受野火威胁的地区。这些结果可为公共政策提供信息,以建立新的消防队、利用综合火灾管理开展保护工作,以及建立恢复区以减少生物多样性的损失。
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Fire-sensitive and threatened plants in the Upper Paraguay River Basin, Brazil: Identifying priority areas for Integrated Fire Management and ecological restoration
Extreme wildfires present an ever-increasing problem in different landscapes around the world. Here, we explore recent wildfires to prioritize recovery efforts and mitigate effects of future wildfires in the Pantanal, the largest continuous wetland in the world. Using ecological niche modeling (ENM), we categorize affected areas based on potential levels of degradation by fire and the predicted suitability for threatened and fire-sensitive plants. Based on this information, we identify key areas for fire prevention. Under land cover change scenarios predicted for 2050, approximately 25 % of the land cover under future threat will have potentially high biomass accumulation. We identified 1272 km2 in priority areas with forest formation, with restoration cost of at least US$ 576,189. This case study provides an analysis workflow that can be used to assess other wildfire-threatened parts of the world. These results can inform public policy to establish new fire brigades, conservation efforts using Integrated Fire Management, and restoration areas to mitigate biodiversity loss.
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