Vegetation Analysis and Community Perception of Forest and Land Rehabilitation (RHL) (Case Study in Gunung Malang Village, Pringgabaya District, East Lombok Regency)

IF 0.4 Q4 FORESTRY
Baiq Saupatu Hadawiah, M. Idris, E. Hidayati
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Abstract

This study is an attempt to determine the level of vegetation density resulting from the 2017 RHL planting in Gunung Malang Village. The study method for evaluating the plant density index is done by determining the number of sample plots based on Stratified Random Sampling is a technique used to determine the number of samples, if the population is stratified but not proportional. Taking into account the determination of the sample based on the potential of the arable land which then classified by taking three criteria, namely the potential with high, medium, and low levels which are classified based on secondary vegetation data of the cultivators. Data collection was carried out using a census inventory with Plot Samples were taken based on the area under cultivation. The results of the plant evaluation are then processed by calculating the density level index formula which is analyzed to obtain the value of Density and Relative Density (KR) to determine the density level of the area so that conclusions can be drawn. The results of the study show that the results of the analysis of the 2017 RHL vegetation density level of the remaining number are only 103 tree stands at this time with a density value of 2.4772 or (2.48%) with a relative density of 1 or (100%). From the results of the RHL density analysis, the density level was relatively low when compared to the number of seeds planted. With the current remaining stands, the percentage of growth is less than 75% of the total number of seedlings planted, so this RHL activity can be said to be unsuccessful based on PermenLHK No. 2 of 2020. Keywords; Evaluation, perception, Land and Forest Rehabilitation, Gunung Malang Village
植被分析与社区对森林和土地恢复(RHL)的感知(以东龙目岛Pringgabaya区Gunung Malang村为例)
本研究旨在确定2017年在古农玛郎村种植RHL后的植被密度水平。评估植物密度指数的研究方法是通过确定样地数量来完成的。分层随机抽样是一种用于确定样本数量的技术,如果种群是分层的,但不是成比例的。考虑到样本的确定是基于耕地潜力,然后根据耕耘者的次生植被数据,采用高、中、低三个等级的潜力进行分类。数据收集采用普查盘查法,按种植面积取样。然后对植物评价结果进行处理,计算密度水平指数公式,分析得到密度和相对密度(KR)值,确定该区域的密度水平,从而得出结论。研究结果表明,剩余数量的2017年RHL植被密度水平分析结果此时仅为103个林分,密度值为2.4772或(2.48%),相对密度为1或(100%)。从RHL密度分析结果来看,与播种数量相比,密度水平相对较低。以目前剩余的林分,生长率不到总种苗数的75%,因此以2020年permenlhk2号为基准,本次RHL活动可以说是不成功的。关键字;评价,感知,土地和森林恢复,古农玛郎村
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来源期刊
CiteScore
1.80
自引率
20.00%
发文量
23
审稿时长
16 weeks
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