The effect of various types of forest fires on pine resin productivity in Gunung Walat University Forest, Sukabumi, Indonesia

Prasetya, Christine Della; Syaufina, Lailan; Santosa, Gunawan Widi

doi:10.13057/biodiv/d180205

Cited by 3 publications

(1 citation statement)

References 10 publications

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“…The Miombo is crucial to local economies but is at risk from bushfires (Chidumuyo 2002). Large and tiny organisms can be lost in forests threatened, and a decrease in forest productivity could be caused by fire (Gleason et al 2013;Prasetya et al 2017;Dickman and McDonald 2020;Prestes et al 2020;Schwartz et al 2020Schwartz et al ,2021Feng et al 2021), which is a constant danger in natural and artificial forests. Most Miombo woodland species see a decline in numbers during and immediately following fires.…”

Section: Introductionmentioning

confidence: 99%

The impact of bushfires on animal abundance and diversity across land tenures in Miombo woodlands, Tanzania

MATIMBWI

Madoffe

2023

Asian J For

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Abstract. Matimbwi L, Madoffe SS. 2022. The impact of bushfires on animal abundance and diversity across land tenures in Miombo woodlands, Tanzania. Asian J For 6: 43-51. Southern Africa is dominated by Miombo forests (woodlands), the world's largest savanna. The purpose of this research was to examine how bushfires affect mammalian populations in Miombo woodlands under various forest tenure systems. The data was gathered through household questionnaires, a probing question checklist for key informants, participant observation, Participatory Rural Appraisal (PRA) methods, and a field inventory. We enlisted the aid of the local communities in our analysis of the PRA data we collected. Quantitative and qualitative data and information were subjected to content and structural-functional analysis. Quantitative data was examined using Statistical Package for the Social Sciences (SPSS) software. Microsoft Excel was used to examine inventory data on animal stocks. The average number of mammals collected from each forest tenure system was compared using Analysis of Variance (ANOVA) to see if there were statistically significant variations. The variety of mammal species in various forest tenure systems was measured using the Shannon-Wiener Index (H). Based on the findings, agricultural activities (44.5%), charcoal production (21.1%), and wildlife hunting (18.9%) accounted for the vast majority of bushfires in Miombo woods. It was thought that illegal logging and honey collection were the only contributing factors. Mammal populations tend to be most significant in Central Governmental Forest Reserves, then in those of the Local Government, and finally in those of the Village Government. Mildly burned sections in the Central Governmental Forest Reserve had a diversity index of 3.2. In contrast, those in the Local Government Forest Reserve and the Village Forest Reserve had indices of 2.0. There was little difference in the diversity index values of the Central Governmental Forest Reserve (2.0) and the Village Forest Reserve (2.0) for moderately burned blocks and the Local Government Forest Reserve (1.6) for unburned blocks. The Central Governmental Forest Reserve had a diversity value of 1.5 for the severely burned blocks, the Village Governmental Forest Reserve had a value of 1.4, and the Local Government Forest Reserve had a value of 1.2. Like other mammals with a low fire escape rate, bushfires hit the rock hyrax particularly hard. As a result, it is suggested that the current management regimes of Local Government Authorities be strengthened to ensure enhanced local community participation with more effective law enforcement measures to save the woods from deterioration. Similarly, communities should be given access to financing and encouragement to pursue income-generating activities to lessen their reliance on Miombo woodlands.

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Section: Introductionmentioning

confidence: 99%

The impact of bushfires on animal abundance and diversity across land tenures in Miombo woodlands, Tanzania

MATIMBWI

Madoffe

2023

Asian J For

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Pinus merkusii Jungh. & de Vriese Pinaceae

Mustaqim¹

2021

Ethnobotany of Mountain Regions

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Potency estimation of forest stands biomass in Gunung Walat Educational Forest, Sukabumi, West Java as fuel for electricity generation

Damayanti

Siregar

Dwiyanti

2020

IOP Conf. Ser.: Earth Environ. Sci.

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The need for energy in Indonesia is increasingly growing into an inseparable part of the daily life of society. However, the limited availability of fossil fuel sources as raw materials for electricity and increased public awareness to preserve the environment lead to the need for an alternative source of renewable energy such as bioenergy, which is a renewable energy that utilizes biomass as its fuel source. Furthermore, this research was conducted to estimate the potential of biomass in Gunung Walat Education Forest (GWEF) as fuel for electricity generation. Estimation of the potential of electrical energy has been carried out by using the biomass conversion approach to wood pellets (WP). The results showed that Pinus merkusii stands have the highest biomass content (12,828.62 tons with a total area of 104 Ha) and Swietenia macrophylla stands have the lowest biomass content (16.63 tons with a total area of 0.67 Ha) compare to other stands. The total biomass obtained from 358.24 Ha of eleven stands was 45,041.38 tons and it can produce electricity of 123,863.79 MWh, suggesting that the biomass in GWEF has the potential to be developed to fulfill the electricity needs of 10.6 MWh per year.

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The effect of various types of forest fires on pine resin productivity in Gunung Walat University Forest, Sukabumi, Indonesia

Cited by 3 publications

References 10 publications

The impact of bushfires on animal abundance and diversity across land tenures in Miombo woodlands, Tanzania

The impact of bushfires on animal abundance and diversity across land tenures in Miombo woodlands, Tanzania

Pinus merkusii Jungh. & de Vriese Pinaceae

Potency estimation of forest stands biomass in Gunung Walat Educational Forest, Sukabumi, West Java as fuel for electricity generation

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