RELATIONSHIP BETWEEN RAINFALL AND LAND COVER ON THE NUMBER OF HOTSPOTS IN LORE LINDU NATIONAL PARK

Q3 Agricultural and Biological Sciences Biotropia Pub Date : 2024-04-18 DOI:10.11598/btb.2024.31.1.1839
Fadjri Maarif, Cesar Andi Mappatoba
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Abstract

Forest and land fires in Indonesia need concern in handling it, specifically in conservation areas. Lore Lindu National Park (TNLL) is a conservation area that plays a role in preserving endemic plants and animals and their habitats. Research on the factors that influence forest fires in TNLL needs to be carried out to protect and prevent the risk of forest fires to protect the ecosystem. This study aims to analyze the relationship between rainfall and land cover on the number of hotspots as an indicator of forest fires in TNLL in 2017-2021. Thus, preventive strategies can be carried out as early as possible to prevent forest fires. This research was conducted by analyzing spatially and statistically 2017-2021 rainfall data in Sigi and Poso Regencies, hotspot data from the TERRA/AQUA, SNPP, and MODIS-NASA satellite in 2017-2021 in TNLL, and TNLL land cover data. In statistical analysis, rainfall data for hotspots was analyzed using Bivariate Pearson, and land cover data for hotspots was analyzed spatially using ArcMap. The results showed 55 hotspots in TNLL from 2017-2021. The Bivariate Pearson correlation test results between rainfall and hotspots are -0.028. The relationship between rainfall and hotspots shows a non-directional correlation. The lower the rainfall intensity, the more hotspots are found. Spatially, the highest number of hotspots occurred in areas with the land cover of secondary dryland forest types, with a total of 29 spots.
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降雨量和土地覆盖对罗列林都国家公园热点数量的影响
印度尼西亚的森林和土地火灾需要得到关注和处理,特别是在保护区。洛尔林都国家公园(TNLL)是一个保护区,在保护特有动植物及其栖息地方面发挥着重要作用。需要对影响 TNLL 森林火灾的因素进行研究,以保护和预防森林火灾风险,保护生态系统。本研究旨在分析降雨量和土地覆盖对作为 2017-2021 年 TNLL 森林火灾指标的热点数量的关系。从而尽早实施预防策略,防止森林火灾的发生。本研究通过对西吉县和波索县 2017-2021 年降雨量数据、TERRA/AQUA、SNPP 和 MODIS-NASA 卫星提供的 TNLL 2017-2021 年热点数据以及 TNLL 土地覆被数据进行空间和统计分析。在统计分析中,使用双变量皮尔逊法分析了热点地区的降雨量数据,并使用 ArcMap 对热点地区的土地覆被数据进行了空间分析。结果显示,2017-2021 年 TNLL 共出现 55 个热点地区。降雨与热点之间的双变量皮尔逊相关性检验结果为-0.028。降雨量与热点之间的关系呈现出非定向相关性。降雨强度越低,热点越多。从空间上看,旱地次生林类型土地覆盖区的热点数量最多,共有 29 个。
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来源期刊
Biotropia
Biotropia Agricultural and Biological Sciences-Agricultural and Biological Sciences (all)
CiteScore
0.70
自引率
0.00%
发文量
23
审稿时长
30 weeks
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