Land use and vegetation fires in Jambi Province, Sumatra, Indonesia (original) (raw)

Forest and land fires spatial model in Riau Province , Indonesia

2018

Riau is one of the provinces in Indonesia that often experience forest and land fires. Forest and land fires cause enormous environmental, economic, and social losses and damages that even cause disruption of political relationship between countries. This study aims to determine the relationship between biophysical, socioeconomic, and policy factors in influencing the occurrence of forest and land fires in Riau Province; develop spatial models of forest and land fires vulnerability; and formulate policies on forest and land management and utilization to prevent forest and land fires occurrence. Based on the result of research, the form of logistic regression model is g (x) = 3.57521783 0.0000694DIS_PEAT + 0.0001488DIS_RIV 0.0001306DIS_JLN 0.0003727DIS_LCFOR 0.0000763DIS_LCFORP 0.0000593DIS_LCPLAN + 0.0000604DIS_LCBUIL 0.0000431DIS_LCUPLD + 0.0000264DIS_IUPHHK + 0.000024DIS_KKEBUN 0.000074DISSKAPL + 0.0000276DIS_SKHL 0.0000597DIS_SKHP 0.0000775DIS_SKHPK 0.0000653DIS_SKHPT, where R2 i...

Forest and Land Fires Are Mainly Associated with Deforestation in Riau Province, Indonesia

Remote Sensing

Indonesia has experienced extensive land-cover change and frequent vegetation and land fires in the past few decades. We combined a new land-cover dataset with satellite data on the timing and location of fires to make the first detailed assessment of the association of fire with specific land-cover transitions in Riau, Sumatra. During 1990 to 2017, secondary peat swamp forest declined in area from 40,000 to 10,000 km2 and plantations (including oil palm) increased from around 10,000 to 40,000 km2. The dominant land use transitions were secondary peat swamp forest converting directly to plantation, or first to shrub and then to plantation. During 2001–2017, we find that the frequency of fire is greatest in regions that change land-cover, with the greatest frequency in regions that transition from secondary peat swamp forest to shrub or plantation (0.15 km−2 yr−1). Areas that did not change land cover exhibit lower fire frequency, with shrub (0.06 km−2 yr−1) exhibiting a frequency of...

Spatial tipology of forest and land fire characteristics: case study in Central Kalimantan Province

IOP Conference Series: Earth and Environmental Science, 2019

Forest and land fire disasters globally has characteristics of landscape heterogeneity. In sustainable spatial planning requires typological information on spatial characteristics. So, it need to be known characteristics and group of forest and land fire disasters in Indonesia. This study objectives to build the typology of spatial characteristics of the forest and land fires vulnerability. The method was carried out using cluster analysis with Standarized Euclidean Distance. The result shown that the socioeconomic growth factor with variables i.e. population, GDP per capita, increase the agriculture area expansion rate, deforestation rate, and length of road related to forest and land fires occurrences, with 2 typologies. Typology 1 was areas with high socioeconomic growth along with high fire occurrences, and typology 2 was areas with the opposite conditions. Disaster management was suggested considering the basic characteristics of typology to determine land use zoning that based on these data variables.

Forest and land fires in Pelalawan District, Riau, Indonesia: Drivers, pressures, impacts and responses

Biodiversitas Journal of Biological Diversity

Tata HL, Narendra BH, Mawazin. 2018. Forest and land fires in Pelalawan District, Riau, Indonesia: Drivers, pressures, impacts and responses. Biodiversitas 19: 544-551. Pelalawan District of Riau Province, Indonesia was one of the districts most damaged by fire in 2015. Analysis of factors driving the fires, of pressures arising from the fires and of responses to the fires in Pelalawan District was conducted using two approaches: semi-structured interviews regarding social and policy aspects, and analysis of biophysical factors such as soil properties and spatial data. Results showed that forest functions (i.e. the functions served by different forest types) was positively related to hotspot density (R2=0.9868), while distance to nearest road less affected hotspot distribution (R2=0.1612). Multiple regression analysis of the relationship between hotspots density and four variables resulted in the following model: Y = 0.005384 + 0.000021 Soil Type + 0.000019 Distance to Road + 0.0000...

Historical forest fire occurrence analysis in Jambi Province during the period of 2000 – 2015: its distribution & land cover trajectories

Forest and land fire in Indonesia have been given much attention since it creates environmental problems every year. Instead of its negative impacts, fire cannot be separated from agricultural system in the tropics. Moreover, under the regulation, the farmer is allowed to use fire for land preparation under 2 hectares. However, fire utilization is prohibited for land preparation in concessionaries. In facts, some companies are utilized fire for economics reason even though some of them are refused to admit. Therefore, it is interesting to know on what is really occur in the field related to the fire occurrence. Objectives of the research are to determine distribution of fire occurrence based on historical hot spot data during 15 years period (2001-2015), and analysis land cover as well as land use trajectories before and after fire occurrence in Jambi Province. Result showed, fire tend to occur in peat land every year, either during El Niño or La Niña period. Land covers before fire occurrence mostly were bush and disturbed secondary forest. It was also revealed that fire was also utilized by companies (oil palm and forest plantation). During period of analysis, on average, 20.67% was converted into forest plantation and 27.06% was converted into palm oil plantation, meanwhile the rest areas (52.27%) were community land area.

A Spatio-Temporal Analysis on the forest Fire Occurrence in Central Kalimantan, Indonesia

2016

Fire is a disaster that causes adverse effects to forests, ecosystems and human life in Central Kalimantan, Indonesia. Enhancing technologies that monitor fires could reduce the occurrence of these disasters. In order to develop a robust fire monitoring system, a deep understanding of fire behaviour is needed. This study focuses on the investigation of spatial and temporal factors influencing forest fires in Central Kalimantan from 2005 to 2012. Data analytic modelling methods in geographic information system tools are applied to analyse data retrieved from MODIS satellite images coupled with ecological and weather information. Based on this analysis and an extensive literature review, this study proposes a new framework that illustrates the interactions amongst factors that contribute to forest fire. This framework shows that weather and ecological conditions play an important role in the development of forest fire. It also shows the influence of fire related to human activities to...

Spatial Analysis of The Correlation Between Hot Spot Distribution and Land Cover Type in Sumatra, Indonesia

IOP Conference Series: Earth and Environmental Science

Based on land cover data of 2015, Sumatra is dominated by shrubs, bushes, plantations with hardwoods, and plantations. It is the island with the largest peat distribution in Indonesia. Peatland forest map provided by Ministry of Environment and Forestry in 2015 represent that the total area of peatland in Sumatra is about 9.6 million hectares, mostly located in Riau, Jambi, and South Sumatra Province. Fire incidents can be indicated through hot spots distribution data. The data used is the distribution of hot spot of Sumatra in 2005-2016. The purpose of this study was to analyze the pattern of hot spot distribution and its relations with land cover changes. Overlay results indicate that 31.75% fires occur in shrubs and bushes, 20.87% in plantations with hardwoods, 16.60% in other natural cleared areas, 14.55% in forest crops, and the rest spreads in lowland crops, dry season crops, and swamp / peat forests. The highest hot spots are in 2005 and 2015 due to the El Nino effect that causes prolonged drought. Available land cover data indicates a change during 1990 through 2011. Most of peat land turn into plantation between 1990 to 2000. The result of overlay of hot spot distribution with land cover data from 2006-2015 shows that forest fires mostly occur in industrial plantation forest. This can be seen from the land cover classification where previously a plantation forest, then it is burned into a field and become an industrial plantation forest. Nevertheless, this analysis still need to be validated through ground truth to check the actual land cover and land use in field.

Indonesian Forest Fire - A Quantitave Assessment

2003

The Indonesian forest fires have affected the environment since biomass burning has released aerosol, black carbon, and other particles to the atmosphere. In this research, an algorithm for assessing forest fire potential is tested for Kalimantan Island, Indonesia. It is based on a fuel model map modified from the US-National Fire Danger Rating System (US-NFDRS), Normalized Difference Vegetation Index (NDVI), and weather data. The Indonesian fuel model map was derived using the global 4-minute land cover data set consisting of 13 classes. The NDVI data was derived from the global 4-minute NOAA-AVHRR data. The output is presented as a monthly Fire Potential Index (FPI) from 1981 to 1993 and compared with trends in fire occurrences over the same time period. A case study illustrates correlation between the FPI and the hot-spot distribution derived from AVHRR data, as well as between the FPI and the Total Ozone Mapping Spectrometer (TOMS) Aerosol Index.