Contemporary Fire Regimes of the Subtropical Everglades.

IF 6.9 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Sparkle L Malone, Grace McLeod, Angel Chen, Mayavati Tupaj
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Abstract

Fire is a fundamental force that shapes ecosystems by influencing vegetation composition, succession, and structural diversity. Fire regimes, defined by fire frequency, intensity, and seasonality, vary across ecosystems and are critical in fire-dependent landscapes. In the Florida Everglades, fire is a key driver of ecological dynamics, interacting with hydrology and the structure of vegetation. This study defines contemporary fire regimes by describing fire patterns from 1978 to 2023, utilizing fire perimeter data from Everglades National Park and Big Cypress National Preserve. Our findings reveal a highly variable annual burned area with a strong increasing trend. Prescribed fires were the foundation of trends in fire activity, as wildfires remained stable over the study period. Across the Everglades, fire return intervals differed between ecosystems, with upland ecosystems experiencing more frequent fires than wetland ecosystems. Our findings highlight the role of fire management in shaping modern fire regimes and underscore the importance of prescribed burns in maintaining ecosystem function and resilience in the Everglades.

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亚热带大沼泽地的当代火灾制度。
火是通过影响植被组成、演替和结构多样性来塑造生态系统的一种基本力量。由火灾频率、强度和季节性定义的火灾制度因生态系统而异,在依赖火灾的景观中至关重要。在佛罗里达大沼泽地,火灾是生态动态的关键驱动力,与水文和植被结构相互作用。本研究利用大沼泽地国家公园和大柏树国家保护区的火灾周长数据,通过描述1978年至2023年的火灾模式,定义了当代火灾制度。我们的研究结果揭示了一个高度变化的年烧伤面积有强烈的增加趋势。规定火灾是火灾活动趋势的基础,因为野火在研究期间保持稳定。在整个大沼泽地,不同生态系统之间的火灾恢复间隔不同,高地生态系统比湿地生态系统经历更频繁的火灾。我们的研究结果强调了火灾管理在塑造现代火灾制度中的作用,并强调了规定燃烧在维持大沼泽地生态系统功能和恢复力方面的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Scientific Data
Scientific Data Social Sciences-Education
CiteScore
11.20
自引率
4.10%
发文量
689
审稿时长
16 weeks
期刊介绍: Scientific Data is an open-access journal focused on data, publishing descriptions of research datasets and articles on data sharing across natural sciences, medicine, engineering, and social sciences. Its goal is to enhance the sharing and reuse of scientific data, encourage broader data sharing, and acknowledge those who share their data. The journal primarily publishes Data Descriptors, which offer detailed descriptions of research datasets, including data collection methods and technical analyses validating data quality. These descriptors aim to facilitate data reuse rather than testing hypotheses or presenting new interpretations, methods, or in-depth analyses.
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