bluuebunny/crossref_metadata_2025_split huggingface dataset:
Lesson Learned from Social Forestry Practice in a Forest and Climate Change Project in Kalimantan, Indonesia
Authors: Setiajiati Fitta , Karyaatmadja Basoeki , Sutedja Ignn , Kuswondho Harri , Satria Prabu , Sejati  , Maharani Ratih Solichia 
Published: December 2019

Abstract
Social forestry is considered as one element to support the practices of sustainable forest management in private and state forests in Indonesia. Currently, the government is promoting the five schemes of social forestry: Village Forest, Community Forest, Community-Based Plantation Forest, Customary Forest, and Partnership. An explorative study of a forest and climate change project in Kalimantan was conducted for 5 years and the experiences should be shared to learn about the strengths, threats, and strategies related to social forestry implementation. After the government has issued the new social forestry policy in 2016, nine villages were facilitated by the project and has obtained the Village Forest Licence. Most villagers preferred to participate in the Village Forest Scheme because the concept was simple and perceived by the people as easily managed. Village boundary agreement, community participation, intensive community empowerment by government or NGO were the important components for having social forestry licence from the Minister. Participatory land use planning was necessary to support the practice of sustainable social forestry, as well as local champion, villagers and local government commitment.
Transforming a tourism destination into a green economy: A policy analysis of Wakatobi Islands, Indonesia
Authors: Owners Pir , DeLacy Terry , Jiang Min 
Published: December 2019

Abstract
Using the green economy framework of DeLacy [14], this paper evaluated the policy environment regarding the green economy concept and circumstance in the destination of Wakatobi Island, Indonesia. The four policy clusters of the green economy framework guided the investigation in order to provide an understanding of the existing green economy framework policies and identify policy gaps that were pertinent to the transformation to the green economy of the tourism sector in the destination of Wakatobi Island. The policy analysis was also informed by observations in the destination to explore the extent that the destination has implemented green economy policies. It was found that the policy environment in Indonesia is generally conducive for the tourism sector to transform into a green economy. However, most of the green economy initiatives in the country are policy-level adaptation. Further, there is a strong need to incorporate measurement of indicators of progress towards the success of implementation of the published policies.
Combining Participatory Mapping, Cloud Computing and Machine Learning for Mapping Climate Induced Landslide Susceptibility in Lembeh Island, North Sulawesi
Authors: Yusri Safran , Retnowati Endang , Prastowo Mikael , Idris  , Fakhrurrozi  
Published: December 2019

Abstract
This study explored the use of participatory mapping and several machine learning algorithms (Naïve Bayes, GMO Maxent, SVM, CART, and Random Forest) to map climate induced landslide susceptibility in Lembeh Island, North Sulawesi, based on Earth Observation data available in Google Earth Engine. Participatory mapping on landslide incidents were conducted in three villages,
i.e.,
Kareko, Pintu Kota, and Pasir Panjang. Data used include digital elevation model from SRTM, multispectral imageries from Sentinel 2, and precipitation from CHIRPS. Terrain modelling was done to DEM to come up with elevation, slope, curvature, and aspect. A cloud free mosaic of Sentinel Images was created using the median reducer and then NDVI was calculated. Precipitation data from CHIRPS was sampled and interpolated using kriging and reduced to maximum and mean. Each algorithm was trained using 70% participatory mapping data and then the prediction was tested for accuracy using the last 30%. Results showed that Random Forest, SVM, CART, and GMO Maxent gave 0.98 testing accuracy and Naïve Bayes only 0.90. The map showed that due to the terrain condition, Lembeh Island is prone to Landslide and even though previously BNPB already provide a landslide hazard risk map, there were many areas not included on that map. Therefore, the map could become an input for BNPB and the Bitung City for developing a mitigation and adaptation strategy. Machine learning and cloud computing along with participatory mapping could also complement mechanistic or multi-criteria analysis using GIS model for landslide susceptibility mapping.
Climate Change Agent: An Evidence from Deforestation Model in Indonesia
Authors: Susandi A , Wijaya A R , Tamamadin M , Pratama A , Pratama A F , Faisal I , Pandini O P , Widiawan D A 
Published: December 2019

Abstract
In this study, model of deforestation is expressed as a function of the direct causes, each of these expressed as a function of the indirect causes. The socio-economic growth variables, such as population and GDP growth, were used as indirect causes of deforestation. The model assumed that deforestation was caused by wood consumption, forest product export, conversion to cropland, and forest fire. This study also calculated the elasticity of forest fire deforestation with respect to the population based on forest fire data between 1991 and 2000. Finally, it analysed the carbon emissions due to deforestation rate in Indonesian forest.
Development and validation of algorithms for LST measurement from NOAA-11/AVHRR satellite data
Authors: Rustana C E , Trismidianto  , Junia D 
Published: December 2019

Abstract
The purpose of this project was to develop the algorithms and characterise measurement errors of land surface temperature (LST). An initial investigation of the accuracy of retrieval of LST has employed synthetic radiances, produced using Lowtran7, for a series of land and atmospheric situations representative of the Australian continental climate. The synthetic data have been modelled to incorporate variation of surfaces emissivity, atmospheric temperature, water vapour profile, and the surface or boundary temperature. The study indicated that the success of the scheme depended on the validity of the modelled radiances, particularly with respect to the formulation of the radiative role of the water vapour constituent of the atmosphere. Whirls, the use of regression in deriving the coefficients for LST equation minimised the bias errors in the radiative transfer calculation that may arise from air mass dependence. However, our algorithms derived using statistical regression and synthetic atmospheres indicated good accuracy for LST measurement with and rms error of order 1°C when validated using data for an instrumented field site.
Insects as Pollinator of Rafflesia zollingeriana Koord. Flower in Resort Bandealit, Meru Betiri National Park
Authors: Anggunira H , Putri C S , Iskandar S R , Aji B D S , Hasanah F , Rambe R A , Setyawan A , Hermawan I , Permata R D , Krismaiyarni I , Syifa K , Nindiar H E , Haneda N F , Rusniarsyah L 
Published: December 2019

Abstract

Rafflesia zollingeriana Koord. is a typical Indonesian flora located in Meru Betiri National Park. It is a diesis flower whose need pollinators for its pollination. This study guessed to predict the type of insect pollinators of R. zollingeriana Koord. at Bandealit Resort, Meru Betiri National Park (TNMB). Data retrieval uses yellow pan trap and sweeps net for observing flying insects and behavioral observation to deal with insects that are active in R. zollingeriana Koord. Measurements of temperature, humidity, and canopy density carried out on sample plots. Estimation of pollinator done by comparing flying insects found with insects that are active in flower. There are 589 individuals of insect trapped consisting of 45 families, 12 orders, and five individuals unidentified. There are four female flowers and one male flower that blooms. Attractive insects as pollinators are Lucilia from Calliphoridae family, Diptera order.
Soil Fertility Evaluation for Strategic Direction Jati Plus Perhutani (JPP)
Authors: Abdillah E , Supriyo H , Na’iem M 
Published: December 2019

Abstract
Soil fertility evaluation conducted to assess the characteristics of the soil and determine the significant constraint factor and alternative supervision. This research aims to determine the limiting factors of soil fertility in Jati Plus Perhutani (JPP) clonal forestry and routine plantation at the research sites in a few years of planting and determining the strategic directives of supervision. Total land of 12 soil map units evaluated based on a representative profile in the semi-detail level on the research sites of FMU Ngawi and Pemalang. Data collection of soil fertility was based on Soil Research Institute and the National Soil Survey Center guidelines. Classification of soil fertility shows that the soil was dominated by silty texture and has a flat to a moderately steep slope. Soils at the research sites have low infiltration rates, high ability to restrain water, difficult cultivation, and a high potential for a run-off on sloping land. Assessment of soil fertility status at the research sites shown of CEC and base saturation high to very high. C organic, P2O5, and K2O are rated very low to low, strategic directives for land supervision and cultivation in the research sites are the application of organic substances, intensive soil management and implementation of soil conservation.
Habitat Conservation of Australian Pelican (Pelecanus conspicillatus Temminick 1824) in Mangrove Ecosystem of Bengawan Solo Estuary, Gresik Regency – East Java Province
Authors: Santoso N , Sutopo  
Published: December 2019

Abstract
Presence of Australian Pelican (P. conspicillatus) in mangrove ecosystem of Bengawan Solo Estuary is an important indicator for estuary health especially as a habitat that provides a feeding ground for water birds’ species. This indicator needs to be maintained for the long term through the right management. Aim of the research is 1) Identify and analyze the problem of mangrove ecosystem management; 2). Identify and analysis stakeholders’ roles; 3). Providing management strategy of mangrove ecosystem to conserve the species habitat in the study area. Research was conducted during one year (October 2017 – December 2018). Primary data of the present species was taken used the concentration count method, and management data collected by interview. Main problem of mangrove ecosystem in the study area like land conversion, land status out of the conservation areas1, and unavailable specific policy concerning the protected species in this area. Stakeholders’ role had been identified such as uncoordinated and un-similarity objectives and understanding to manage this areas as essential habitat. Management strategy i.e. involve the community, local government, and academician to implementing the action plan of habitat conservation that was provided in this study.
Potential Biomass Production Estimation of Wood Energy Species in Post Mining Reclamation Area Using CO2FIX Model
Authors: Akmalluddin F , Sulistyawati E , Sutrisno  
Published: December 2019

Abstract
One of the many potential uses of post-mining reclaimed land is for growing trees to use as a source of energy through their biomass. CO2FIX is a computer simulation model and can be used to estimate the production of biomass and carbon accumulation pattern of a wooden stand. The purpose of this research was to simulate biomass production of five wood energy species currently grown in the post-coal mining reclamation area at South Kalimantan, i.e. Paraserianthes falcataria, Senna siamea, Samanea saman, Peronema canescens, and Vitex pinnata. The CO2FIX model firstly parameterized for application on the study area. The data used for parameterization gathered through literature studies and field measurements. The result indicates that the parameterized CO2FIX model could realistically simulate the growth pattern of five wood energy species grown in post-mining reclaimed land. Next, the model was used to simulate the growth of five energy wood species in the following setting: monoculture planting, 3 x 3 m planting distance, and 20 years simulation. Total of biomass in descending order shown by the stand of Senna siamea (639.35 MgDM/ha), Paraserianthes falcataria (555.52 MgDM/ha), Samanea saman (385.77 MgDM/ha), Peronema canescens (297.71 MgDM/ha), and Vitex pinnata (219.42 MgDM/ha), respectively.
Developing better understanding on tropical peat fire occurrences and dynamics
Authors: Putra E I , Cochrane M A. , Saharjo B H , Graham L , Thomas A , Applegate G , Saad A , Setianto E , Sutikno S , Prayitno A 
Published: December 2019

Abstract
Peatland fires are a significant contributor to Indonesia’s greenhouse gas (GHG) emissions, particularly during ENSO events, in drained areas, and upon first and second burns. This NASA-funded project will provide the necessary fire emissions research and expertise to increase capability of peatland fire emission quantification. The first three years of the project (2014-2017) focused on the development of methods to assess peat-fire relations and improve peat fire emission calculations, with initial data from the core area; BOSF-Mawas in Central Kalimantan. The second phase of the project (2017-2020) expanding to a national level to better advance Indonesia’s capabilities for peatland carbon emissions, increasing the data volume and knowledge in the core area, and on transplanting these methods to other peatland provinces in Indonesia, e.g., Riau and Jambi. Here, we establish and monitor dipwells and subsidence plots in Central Kalimantan, Riau, and Jambi to better understand the effect of hydrology to the peat fire. To better understand the peat fire typology and dynamics, we develop the new method for Fire Scene Evaluation and measured some peat and peat fire properties. This paper compiling the project overview, researches have been done and on-going researches in Central Kalimantan, Riau, Jambi, and Papua provinces, and some essential findings of the project.
Wood Pellet Characteristics of Five Energy Species Grown in Post-Mining Reclamation Area in South Kalimantan
Authors: Bulkiah T , Sulistyawati E , Sutrisno  
Published: December 2019

AbstractBiomass is one of the renewable sources of energy with prospective needs to be considered at a national or even global scale. Chemical components and physical properties of materials can be used as bioenergy in the form of pellets. Pellets made by compressing biomass using pressure-heat, resulting in higher calorific values than origin material. Reclamation forests can be seen as a potential source of energy. Considering the generally less-optimal environment, further research regarding the characteristic of species grown in such conditions required. Firstly, research aimed to determine pellets characteristics of five species grown at the post-coal-mining area at Tabalong Regency, i.e. laban(Vitex pinnata), sengon (Paraserianthes falcataria), sungkai (Peronema canescens), trembesi (Samanea saman) and johar (Senna siamea). Secondly was to evaluate the potential of species as energy sources. Measurement focused on forest debris, followed procedures set on SNI 8021-2014. Characteristics measured were moisture-content, density, lignocellulose, extractive, calor, ash, igniting-time, and burning-rate. Statistical analysis indicates that characteristics of origin material positive correlated with a caloric value of pellets except for moisture and ash. Pellets made of laban had the highest calorific value. Five species grown on the post-mining area had calorific values of pellets fulfilling the standard, which means those all are potential to be developed as an energy source.
Research Review on Implementation of Intensive Silviculture Techniques
Authors: Lamis F A , Muhdin  
Published: December 2019

Abstract
National timber demand tends to increase, meanwhile natural forest timber production tends to decrease. Aside from the natural growth of the tree tend to be slow, the current forest management were not able to increase the productivity of the timber forest product. In this latest development, Intensive Silviculture Technique (SILIN), is expected play important role in increasing timber productivity. The objective of this research was to review the implementation of SILIN toward sustainable forest management and to develop SILIN database system. Hopefully, the database can be a reference in obtaining information of (SILIN). The summary of each research and study is categorized into some categories: (i) ecology; (ii) silviculture; (iii) genetics; (iv) integrated pest management; and (v) economy. The result of the study showed there are 68 researches and studies of Intensive Silviculture, the category is dominated by silviculture aspect (31 researches), the ecology aspect are 23 researches, the genetics aspect are 2 researches, integrated pest management aspect are 3 researches and economy aspect are 9 researches. The amount of the result likely to increase and the summary of the research and study will periodically upload on our website that can be accessed on kajiansilin.com.
Aluminum Stress Effects of Nine Tropical Tree Species In The Hydroponic Assay
Authors: Pidjath C , Budi S W , Sopandie D , Turjaman M 
Published: December 2019

Abstract
Aluminum (Al) toxicity usually occurs in acidic soils with a pH of 5.5 or lower. Plants present different degrees of adaptation to al concentrations in the soil. Recent evidence indicates that different species have evolved different mechanisms to cope with this stress, and the understanding of this characteristic can lead to a viable option for the utilization of acid soils. The objective of this experiment was to investigate the effect of nine level Al concentration on nine tropical trees seedling (Enterolobium cyclocarpum Griseb, Adenanthera pavonina L. Samanea saman (Jacq.), Spathodea campanulata P.Beauv Merr, Ochroma grandiflora Rowlee, Gmelina arborea Roxb, Calophyllum inophyllum, Cecropia peltata, and Calliandra calothyrsus) in the hydroponic culture. The treatments arranged in a Randomized Block Design with three replications. The relative root elongation and roots number in terms of increased under low (below 2 mM) and, decreased under high (above 4 mM) Al concentrations. Significant reductions in relative root elongation, lateral root number and biomass observed almost in all seedling treated with hight Al concentration. A. pavonina, E. cyclocarpum, C. inophyllum classify into tolerance and S. campanulata were the most susceptible to Al. Even though A. pavonina was tolerant to Al toxicity, there was a high concentration in its tissue. This species is likely has an Al tolerance mechanism by internal detoxication. On the contrary, S.saman as sensitive species absorbed Al less than other species; it indicated that S.saman was have an avoidance mechanism as Al exclusion.
Research on control method and evaluation system of unmanned ground vehicle group change
Authors: Shi Tianyu , Bao Yunqing , Wang Zhichao , Zou Chonghao , Wang Sunbo , Li Xueyuan 
Published: December 2019

Abstract
In this paper, a novel formation control system, composed of path planning and tracking, was designed. A master-slave control model, based on the main vehicle, was proposed to solve the potential accumulation, transmission and amplification errors. To be specific, the referenced trajectory was initially generated by integrating a dynamic window and potential field in the process of transforming. Then a path tracking algorithm based on Hermite curve was introduced, which can make the group change process more stable and accurate. The performance of the formation control system was evaluated, in terms of the formation response and capacity of the formation stability in the simulated scenario. As a result, the vehicle control is simulated, the vehicle can quickly and precisely track the variation of the expected position, the maximum error is 0.1 m, and the speed error of the vehicle following can be controlled within 0.2 km / h, which can keep the stability of the vehicle formation better.
Research about the construction of intelligent transportation system under the big data of vehicle networking
Authors: Su Hongyang 
Published: December 2019

Abstract
In recent years, the number of motor vehicles in China has been increasing, but the construction of road traffic system is still relatively backward, and traffic jams and traffic safety problems often occur. At present, the concept of vehicle networking technology has gradually emerged. We can collect the position, status and surrounding environment information of vehicles by the technology, and then use big data method to analyse and process the information, so as to effectively manage and control the road traffic system and provide comprehensive services for drivers. In this paper, based on vehicle networking and the big data technology, the construction method of the Intelligent Transportation System will be further discussed, and the design scheme of the Intelligent Transportation System of a certain area will be provided.
Impact of High-Speed Railway Transportation on Economic Development in Zhengzhou City
Authors: Wan Ming , Peng Haozhan , Xu Yuping 
Published: December 2019

Abstract
China’s high-speed rail is the leader in driving a new round of China’s economy. Looking at it today, the scale of China’s construction of high-speed rail is unprecedented. From improving the speed of operation, coastal travel, and extending from the Central Plains to the northwest, it has a huge impact on social and economic development. The rapid development of high-speed rail will create a new chapter in the history of the economy. Based on the data of some socio-economic and high-speed rail transportation in Zhengzhou City from 2007 to 2017, this paper analyses the relationship between high-speed rail transportation and social economy, and provides reference for the decision-making department to formulate transportation development planning. The study found that there is a strong correlation between high-speed rail transportation and economic development. The two influence each other and coordinate development. The direction of high-speed rail construction should be clarified to better realize the comprehensive development of regional economy.
Analysis of the Feasibility of Hov Lane of Shichang Avenue in Weihai City
Authors: Hou Yuqiang , Yuan Zhenzhou , Thu Phuong Tran , Hou Yuqiang 
Published: December 2019

Abstract
Based on the experience of international traffic demand management policies, the Hov(high occupancy vehicle)has been introduced to the research on urban traffic planning and design. Through the collection and analysis of international experience in the design and operation of Hov lane, the requirement for Hov setting has been analyzed in China and the evaluation indexes of Hov lane have been proposed. By building the Hov design platform, this paper provides the methodology for the design and evaluation of Hov lane program. Through the research of this paper, we provide some scientific basis for the decision-makers and give some theoretical guidance for the Hov project in future.