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All Journal HAYATI Journal of Biosciences MANAJEMEN HUTAN TROPIKA Journal of Tropical Forest Management J-Sil (Jurnal Teknik Sipil dan Lingkungan) Agromet Jurnal Ilmu Lingkungan POSITRON Jurnal Geografi : Media Informasi Pengembangan dan Profesi Kegeografian Jurnal Penelitian Hutan Tanaman Jurnal Sains & Teknologi Modifikasi Cuaca Jurnal Tanah dan Iklim
Muh. Taufik
Departemen Geofisika Dan Meteorologi, Fakultas Matematika Dan Ilmu Pengetahuan Alam, IPB University, Bogor 16680
Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Energy Engineering Environmental Science Physics Transportation

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Evaluation of Plant Growth Promoting Rhizobacteria as a Protecting Agent Against Cucumber Mosaic Virus and Chilli Veinal Mottle Virus on Chillipepper MUHAMMAD TAUFIK; SRI HENDRASTUTI HIDAYAT; GEDE SUASTIKA; SIENTJE MANDANG SUMARAW; SRIANI SUJIPRIHATI
HAYATI Journal of Biosciences Vol. 12 No. 4 (2005): December 2005
Publisher : Bogor Agricultural University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (58.974 KB) | DOI: 10.4308/hjb.12.4.139

Abstract

This study was conducted to evaluate the effectiveness of plant growth promoting rhizobacteria (PGPR) in protecting chillipepper plant from infection of cucumber mosaic virus (CMV) and chilli veinal mottle virus (ChiVMV). Seven isolates of PGPR, i.e. BC1, BTP2H, BTP3G, BTP3O BTP1, BTP2D, and T1F were applied as seed treatment and soil drench. Plants height, number of branch, and fruits weight were measured every one and ten weeks after virus inoculation. Virus concentration in plants and disease incidence were confirmed by enzyme-linked immunosorbant assay (ELISA). Results showed that inoculation with PGPR improved the seed germination. Eight days after sowing, the percentage of PGPR treated seed germination reached 50-84%; whereas those of untreated seed reached only 18%. In general, PGPR treatment significantly reduced (p < 0.05) the effect of virus infection on plant growth. Two PGPR isolates, i.e. BTP1 and BTP2H, maintained fruit weight of infected plants as good as those of healthy plants. Based on ELISA, PGPR was able to inhibit the disease incidence. The BTP3O and BTP2D isolates even protected the plant from ChiVMV infection. Concentration of salicylic acid and peroxidase were relatively higher on plants treated with PGPR than those without PGPR treatment. This gave an indication that PGPR may act as induction agents for systemic acquired resistance. Therefore, PGPR treatment is a promising strategy to control viral diseases on chillipepper.
Interpretation of Soil Water Content into Dryness Index: Implication for Forest Fire Management Muh Taufik; Budi Indra Setiawan
Jurnal Manajemen Hutan Tropika Vol. 18 No. 1 (2012)
Publisher : Institut Pertanian Bogor (IPB University)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (327.185 KB)

Abstract

Forest fire research is very important for tropical regions as the current available models on forest fire predictions and control were developed based on studies conducted in dry sub-tropical forest areas. The use of dryness index (DI) based on actual soil water content for assessing fire danger in wetland ecosystem was proposed in this paper. The study site was located in South Sumatera, Indonesia and study was conducted from April 1 st 2009 to March 15 th 2011. Fire danger was categorized into 4 levels; low, medium, dry, and extreme with its margin level was determined based on soil water retention curve analysis. All DI categories occurred in 2009, however only 2 categories (low and medium) were observed in 2010 and 2011. DI reached its maximum intensity in September 2009 with an onset rate of 1.4 per day based on analysis of time intensity curve. Information of onset rate is importance for forest fire management such as for estimating when the extreme category would be reached. Therefore anticipation and prevention efforts might be prepared prior to reaching certain danger level. Information on DI might be useful for water management planning in forest plantation areas as many of them are located in wetland ecosystem.
ANALISIS PERILAKU INDEKS KEKERINGAN DI WILAYAH RENTAN KEBAKARAN, SUMATRA SELATANBEHAVIOR ANALYSIS OF DROUGHT INDEX IN FIRE-PRONE REGION OF SOUTH SUMATRA Muh Taufik
Agromet Vol. 24 No. 2 (2010): DECEMBER 2010
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (551.07 KB) | DOI: 10.29244/j.agromet.24.2.9-17

Abstract

Climate dynamics has a vital role in changing upper soil moisture that influences drought period and occurence especially for fire-prone region in South Sumatra Indonesia. Drought occurrence causes abundant dry fuel being available at peat forest ecosystem that might rise of fire risk and danger in the region. Using daily maximum air temperature and rainfall data for period of 1984-2009, we calculated daily Keetch-Byram drought index (KBDI) as an index for assessing fire danger potential. The index was gropued into three categories comprising low, moderate, and high fire danger levels.  Temporally, we found that fire danger level at the study area site are able to be grouped as follows: period of December to April was categorized low, period of July to October as high, and the remaining months as moderate. El Nino event had a severe influence on the severity and the duration of high KBDI that occurred until the end of November which normally a rainy season. Other finding is that there was a significant change (α=5%) on the rise of annual high KBDI frequency and average KBDI for period of 1984-2009, conversely frequency of rainy days decreased significantly. Information about when KBDI level reach high fire danger is of important for forest fire mangament in the region.Climate dynamics has a vital role in changing upper soil moisture that influences drought period and occurence especially for fire-prone region in South Sumatra Indonesia. Drought occurrence causes abundant dry fuel being available at peat forest ecosystem that might rise of fire risk and danger in the region. Using daily maximum air temperature and rainfall data for period of 1984-2009, we calculated daily Keetch-Byram drought index (KBDI) as an index for assessing fire danger potential. The index was gropued into three categories comprising low, moderate, and high fire danger levels.  Temporally, we found that fire danger level at the study area site are able to be grouped as follows: period of December to April was categorized low, period of July to October as high, and the remaining months as moderate. El Nino event had a severe influence on the severity and the duration of high KBDI that occurred until the end of November which normally a rainy season. Other finding is that there was a significant change (α=5%) on the rise of annual high KBDI frequency and average KBDI for period of 1984-2009, conversely frequency of rainy days decreased significantly. Information about when KBDI level reach high fire danger is of important for forest fire mangament in the region.
ANALISIS INDEKS BAHAYA KEBAKARAN HUTAN UNTUK WILAYAH RIAU, INDONESIAANALYSIS OF FOREST FIRE DANGER INDEX FOR RIAU REGION, INDONESIA Muh Taufik; Wisnu Narendratomo
Agromet Vol. 25 No. 1 (2011): JUNE 2011
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/j.agromet.25.1.37-43

Abstract

Forest fire is one of the greatest environmental problems faced by Indonesia particularly in Riau region. It may be anticipated by developing early warning system to assess forest fire danger. In this paper, the assessment of forest fire danger was conducted by using the Keetch Byram Drought Index (KBDI) model. This Paper presents our research in Riau region that aimed to study the behavior of the model and to modify the model to satisfy local climate condition of Riau region. The model was applied for climate data in four selected weather station i.e Pekanbaru, Japura Rengat, Dabo Singkep and Tanjung Pinang for the period of 1989-2008. We classified fire danger level into four categories including low, moderate, high, and extreme. We found that temporal distribution of the danger level varies among stations and reached extreme fire danger level during September-October. Our modification to the model obtained new drought factor formula having lower value than the original drought factor of the model. It resulted in lower modified KBDI (mKBDI) than the original KBDI values.Forest fire is one of the greatest environmental problems faced by Indonesia particularly in Riau region. It may be anticipated by developing early warning system to assess forest fire danger. In this paper, the assessment of forest fire danger was conducted by using the Keetch Byram Drought Index (KBDI) model. This Paper presents our research in Riau region that aimed to study the behavior of the model and to modify the model to satisfy local climate condition of Riau region. The model was applied for climate data in four selected weather station i.e Pekanbaru, Japura Rengat, Dabo Singkep and Tanjung Pinang for the period of 1989-2008. We classified fire danger level into four categories including low, moderate, high, and extreme. We found that temporal distribution of the danger level varies among stations and reached extreme fire danger level during September-October. Our modification to the model obtained new drought factor formula having lower value than the original drought factor of the model. It resulted in lower modified KBDI (mKBDI) than the original KBDI values.
Long-term Monthly Discharge Prediction for Cimanuk Watershed Marliana Tri Widyastuti; Muh Taufik
Agromet Vol. 33 No. 2 (2019): DECEMBER 2019
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (387.296 KB) | DOI: 10.29244/j.agromet.33.2.96-104

Abstract

Although streamflow data is important for water resource planning, it’s long-term availability for Indonesian rivers is limited. One factor could be identified for example lack of observation. Here, we presented observation-based modeling to predict long-term discharge data for Cimanuk watershed in Indonesia. The watershed is categorized as one of the critical watersheds, meanwhile it supports to more than one million people. A well-known hydrological model called Soil and Water Assessment Tools (SWAT) was used to predict monthly discharge. The model was fed with monthly climate data, topography, land use and soil characteristics. We calibrated the model with the observed data from 1974 to 1994 (20 years). Our results showed that the model was a good performance in estimating monthly discharge as indicated by three statistical metrics used. Based on statistical evaluation, the calibration resulted a low percent bias (3.20%), strong correlation (0.73), and high Kling-Gupta Efficiency (0.78). Further, we did a sensitivity analysis for the model, and we found that hydrological response unit was the most influential parameters for the Cimanuk watershed. A long-term discharge data indicated a monsoonal pattern for this watershed.
The Use of Dam Environmental Vulnerability Index (DEVI) for Assessing Vulnerability of Bengawan Solo Watershed, Indonesia RR Mashita Fauzia Hannum; I Putu Santikayasa; Muh. Taufik
Agromet Vol. 34 No. 2 (2020): DECEMBER 2020
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/j.agromet.34.2.110-120

Abstract

Bengawan Solo is the longest river in Java, but current conditions show that its watershed is in a critical condition. Deforestation was very intensive in the last three decades that contributed to degradation of the watershed. Other factor contributing to the degradation is dam construction. However, our knowledge on the impact of dam construction on the environment and its vulnerability is poorly understood. Here, we assessed vulnerability of the watershed based on physical properties such as existing dams, morpho-dynamic activities, and deforested area. The study aims to identify the vulnerability of the Bengawan Solo watershed based on dam environmental vulnerability index (DEVI) approach, and to analyse the dominant variable contributing to DEVI. For calculating DEVI, several data were needed including land cover, rainfall, stream water stage, soil type, stream network, and dams. The results showed that Bengawan Solo watershed had moderate to high vulnerability (60%). Moderate level was identified for Madiun and Wonogiri sub-watershed, while high level was in Cepu and Babat sub-watershed. Our findings revealed that morpho-dynamic activities as represented by sediment rate and stream water stage had contributed to the high DEVI value as in Cepu and Babat sub-watershed. Further, influence of dams in this research was not dominant implying that any improvement to the DEVI approach remains research challenges. The improvement of the approach is expected to better identify the impact of dam construction on environment, situated in other regions than Amazon, where it was firstly developed.
Non-linear Routing Scheme at Grid Cell Level for Large Scale Hydrologic Models: A Review Hidayat Pawitan; Muh Taufik
Agromet Vol. 35 No. 2 (2021): DECEMBER 2021
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/j.agromet.35.2.60-72

Abstract

New tools and concepts in the form of mathematical models, remote sensing and Geographic Information System (GIS), communication and telemetering have been developed for the complex hydrologic systems that permit a different analysis of processes and allow watershed to be considered as an integrated planning and management unit. Hydrological characteristics can be generated through spatial analysis, and ready for input into a distributed hydrologic models to define adequately the hydrological response of a watershed that can be related back to the specific environmental, climatic, and geomorphic conditions. In the present paper, some recent development in hydrologic modeling will be reviewed with recognition of the role of horizontal routing scheme in large scale hydrologic modeling. Among others, these developments indicated the needs of alternative horizontal routing models at grid scale level that can be coupled to land surface parameterization schemes that presently still employed the linear routing model. Non-linear routing scheme will be presented and discussed in this paper as possible extension.
The Use of Weather Research and Forecasting Model to Predict Rainfall in Tropical Peatland: 1. Model Parameterization Alfi Rizky Sanusi; Muh Taufik; I Putu Santikayasa
Agromet Vol. 35 No. 1 (2021): JUNE 2021
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/j.agromet.35.1.49-59

Abstract

Rainfall dynamics play a vital role in tropical peatland by providing sufficient water to keep peat moist throughout the year. Therefore, information of rainfall data either historical or forecasting data has risen in recent decades especially for an alert system of fire. Here the Weather and Research Forecasting (WRF) model may act as a tool to provide forecasting weather data. This study aims to do parameterization on WRF parameters for peatland in Sumatra, and to perform bias correction on the WRF’s rainfall output with observed data. We performed stepwise calibration to choose the best five physical schemes of WRF for use in the study area. The output WRF’s rainfall was bias corrected by spatially observed rainfall data for 2019 at day resolution. Our results showed the following schemes namely (i) Eta scheme for cloud microphysical parameters; (ii) GD scheme for cumulus cloud parameters, (iii) MYJ scheme for planetary boundary layer parameters; (iv) RRTM for longwave radiation; and (v) New Goddard schemes for shortwave radiation are best combination for being used to predict rainfall in maritime continent. The spatially interpolated observed rainfall with the Inverse Distance Weighting (IDW) was outperformed for calibration process of WRF’s rainfall as shown by statistical indicators used in this study. Further, the findings have contributed to advance knowledge of rainfall forecasting in maritime continent, particularly in providing data to support the development of fire danger rating system for Indonesian peatland.
Drought Events in Western Part of Timor Island Indonesia Flegor Hermes Sabuna; Rini Hidayati; I Putu Santikayasa; Muh Taufik
Agromet Vol. 36 No. 1 (2022): JUNE 2022
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/j.agromet.36.1.11-20

Abstract

Drought is a below-averaged condition of water availability, which has detrimental impacts on many sectors. Many studies have been performed on drought analysis in Indonesia, yet knowledge about drought in western Timor is still limited. This research carried out a historical meteorological drought analysis based on a 3-month Standardized Precipitation Index (SPI) and Standardized Precipitation Evapotranspiration Index (SPEI) using global climate data for 1989-2018. The index value was then categorized into three groups: moderate, severe, and extreme. We assessed: (i) the influence of El Niño phenomena to drought events, (ii) drought class frequency, and (iii) drought trend. Based on historical data, western Timor had a monsoonal pattern with dominant dry period, which occurred in April to November. The results showed that the drought events were mostly influenced by El Niño. Seasonally, El Niño not only increased the drought frequency in July-August (JJA) season, but also in other seasons. In El Niño year of 2015, drought covered most parts of study area during September-November (SON) season, especially in the western part. Dry conditions increased in June, reached maximum in September-November, and decreased in December. Other findings show that an extreme drought consistently had a downtrend, while the moderate drought had upward trends. Spatiotemporal drought analysis using SPI and SPEI showed similar patterns, SPEI detected a higher frequency of drought classes compared to SPI. This study suggests that knowledge on drought-related El Niño will benefit on drought mitigation action in the future.
Fire Danger on Jambi Peatland Indonesia based on Weather Research and Forecasting Model Lisnawati; Muh Taufik; Bambang Dwi Dasanto; Ardhasena Sopaheluwakan
Agromet Vol. 36 No. 1 (2022): JUNE 2022
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/j.agromet.36.1.1-10

Abstract

Monitoring drought related to peat fire danger is becoming essentials due to the adverse impacts of peat fires. However, the current monitoring is mostly based on station data and has not yet covered all parts of peatlands. This research was carried out to initiate a spatial monitoring for peat fire, particularly in Jambi province. Our approach was simple by integrating Weather Research Forecasting (WRF) output with a drought-fire model. This research aims to: (i) calibrate rainfall, air temperature and soil moisture data from WRF output; and (ii) analyze temporal drought related to fire danger. A drought-fire model known as Peat Fire Vulnerability Index was applied with daily inputs of WRF output at 5km resolution, which were comprised of rainfall, air temperature, and soil moisture. The results showed that calibration reduced rainfall magnitude, and slightly increased the maximum air temperature and soil moisture. The calibration performance was good as shown by a very low percent bias (less than ±5%), and lower error (RMSE=16.5; MAE=9.5). Our analysis showed that drought triggered by El Niño in 2015 had escalated extreme fire danger class by 38% compared to normal year (2018). This has been confirmed by a low variation of proportion of extreme class during July-August 2015. The results suggested that integrating spatial global climate data will benefit to the improved drought-fire model by providing spatial data. The results are expected to be a reference on drought and peat fires mitigation action.
Co-Authors Alfi Rizky Sanusi Andi Ihwan Ardhasena Sopaheluwakan Arnida Lailatul Latifah B.I. Setiawan Bambang Dwi Dasanto Budi Indra Setiawan Cut Azizah Findy Renggono Flegor Hermes Sabuna Gede Suastika Hidayat Pawitan Hidayat Pawitan Hidayat Pawitan I Putu Santikayasa I Putu Santikayasa Iwan Ridwansyah L.B. Prasetyo Lisnawati Marliana Tri Widyastuti Marliana Tri Widyastuti Maulana Dwi Putra Riyadi Mauludiyyatus Syarifah N.H. Pandjaitan Rahmat Hidayat Rini Hidayati RR Mashita Fauzia Hannum Samba Wirahma Santikayasa, I Putu Sientje Mandang Sumaraw Siti Annisa' Soewarso Soewarso SRI HENDRASTUTI HIDAYAT Sriani Sujiprihati Wisnu Narendratomo Yudi Setiawan