Population size multiplies along with the increasing need for residential space. As often occurs in developing cities like Purwokerto, population growth is associated with land use/land cover (LULC) change to accommodate housing demand both in the present and future. Therefore, this study was intended to map LULC changes in three different years: 2008, 2013, and 2018, and predict the change in 2023. For LULC data extraction, a pixel-based digital classification with a maximum likelihood algorithm was applied to Landsat images. In addition, the LULC change prediction was modeled with Modules for Land Use Change Simulations (MOLUSCE) from the QGIS plugins. It used two algorithms: artificial neural network (ANN) with a multilayer perceptron (MLP) and cellular automata (CA). The LULC classifications for 2008, 2013, and 2018 were 88%, 86%, and 88% accurate, while the prediction was 75.26% accurate, with a kappa of 0.634. Predictions and simulations indicate fluctuations in LULC change in the City of Purwokerto periodically, especially for built-up land, showing growth that continues to increase significantly.
{"title":"Prediction and Simulation of Land Use and Land Cover Changes Using Open Source QGIS. A Case Study of Purwokerto, Central Java, Indonesia","authors":"G. F. Ramadhan, I. N. Hidayati","doi":"10.22146/ijg.68702","DOIUrl":"https://doi.org/10.22146/ijg.68702","url":null,"abstract":"Population size multiplies along with the increasing need for residential space. As often occurs in developing cities like Purwokerto, population growth is associated with land use/land cover (LULC) change to accommodate housing demand both in the present and future. Therefore, this study was intended to map LULC changes in three different years: 2008, 2013, and 2018, and predict the change in 2023. For LULC data extraction, a pixel-based digital classification with a maximum likelihood algorithm was applied to Landsat images. In addition, the LULC change prediction was modeled with Modules for Land Use Change Simulations (MOLUSCE) from the QGIS plugins. It used two algorithms: artificial neural network (ANN) with a multilayer perceptron (MLP) and cellular automata (CA). The LULC classifications for 2008, 2013, and 2018 were 88%, 86%, and 88% accurate, while the prediction was 75.26% accurate, with a kappa of 0.634. Predictions and simulations indicate fluctuations in LULC change in the City of Purwokerto periodically, especially for built-up land, showing growth that continues to increase significantly.","PeriodicalId":52460,"journal":{"name":"Indonesian Journal of Geography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42355131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sehah Sehah, U. N. Prabowo, S. A. Raharjo, Laila Ariska
The utilization of gravimetric satellite data has been carried out to delineate the subsurface model of the Purwokerto-Purbalingga Groundwater Basin. Access and processing of satellite gravity anomalies data were carried out to obtain the residual gravity anomalies data. Modeling of the residual gravity anomalies data was conducted along the AA′, BB′, and CC′ trajectories. The modeling results show a basin model filled by alluvial deposits (1.75 g/cm3 and 2.28 g/cm3) with a maximum depth of about 402 m for the AA′ trajectory, 543 m for the BB′ trajectory, and 463 m for the CC′ trajectory. The modeling results show that this alluvial basin is delimited by impermeable and semi-impermeable layers, which include laharic deposits of Slamet Volcano (2.61 g/cm3), andesite lava deposits (2.90 g/cm3), Tapak formation rocks (2.50 g/cm3), breccia rocks of Tapak formation (2.70 g/cm3), and breccia rocks of Halang formation (2.80 g/cm3). The fairly large thickness of alluvial deposits supported by dug-well water tables data and resistivity data indicates that the potential of groundwater in the Purwokerto-Purbalingga Groundwater Basin area is very large. The results of the study are expected to be a solution to overcome droughts that often occur in the Banyumas and Purbalingga regencies, as well as for the development of groundwater-based irrigation.
{"title":"Utilization of Gravimetric Satellite Data for Delineating of Subsurface Model of The Purwokerto-Purbalingga Groundwater Basin","authors":"Sehah Sehah, U. N. Prabowo, S. A. Raharjo, Laila Ariska","doi":"10.22146/ijg.72466","DOIUrl":"https://doi.org/10.22146/ijg.72466","url":null,"abstract":"The utilization of gravimetric satellite data has been carried out to delineate the subsurface model of the Purwokerto-Purbalingga Groundwater Basin. Access and processing of satellite gravity anomalies data were carried out to obtain the residual gravity anomalies data. Modeling of the residual gravity anomalies data was conducted along the AA′, BB′, and CC′ trajectories. The modeling results show a basin model filled by alluvial deposits (1.75 g/cm3 and 2.28 g/cm3) with a maximum depth of about 402 m for the AA′ trajectory, 543 m for the BB′ trajectory, and 463 m for the CC′ trajectory. The modeling results show that this alluvial basin is delimited by impermeable and semi-impermeable layers, which include laharic deposits of Slamet Volcano (2.61 g/cm3), andesite lava deposits (2.90 g/cm3), Tapak formation rocks (2.50 g/cm3), breccia rocks of Tapak formation (2.70 g/cm3), and breccia rocks of Halang formation (2.80 g/cm3). The fairly large thickness of alluvial deposits supported by dug-well water tables data and resistivity data indicates that the potential of groundwater in the Purwokerto-Purbalingga Groundwater Basin area is very large. The results of the study are expected to be a solution to overcome droughts that often occur in the Banyumas and Purbalingga regencies, as well as for the development of groundwater-based irrigation.","PeriodicalId":52460,"journal":{"name":"Indonesian Journal of Geography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45884483","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
P. Danoedoro, Diwyacitta Dirda Gupita, Muhammad Zayyanul Afwani, H. A. Hadi, W. K. Mahendra
Digital surface model (DSM) has been widely available for mapping and was also sometimes used for mapping vegetation height. The authors conducted a preliminary study to evaluate the potential use of DSMs derived from ASTER, ALOS, and SRTM for estimating vegetation cover density in mountainous area. This study used NDVI and SAVI vegetation indices, in addition to forest cover density (FCD) model as references for evaluation. A DSM-based volume index (Volindex) concept is introduced, which is the product of the canopy height model (CHM) and the pixel area. CHM was derived from the value difference between the DSM and the reference DEM. The Volindex model was then compared with the NDVI, SAVI and FCD. We found that all DSM-based Volindex models are not accurate enough to represent the vegetation cover density, although the ALOS Palsar-based Volindex could reach 41.53% accuracy and was finally used to predict the vegetation cover density.
{"title":"Preliminary Study on the Use of Digital Surface Models for Estimating Vegetation Cover Density in Mountainous Area","authors":"P. Danoedoro, Diwyacitta Dirda Gupita, Muhammad Zayyanul Afwani, H. A. Hadi, W. K. Mahendra","doi":"10.22146/ijg.60659","DOIUrl":"https://doi.org/10.22146/ijg.60659","url":null,"abstract":"Digital surface model (DSM) has been widely available for mapping and was also sometimes used for mapping vegetation height. The authors conducted a preliminary study to evaluate the potential use of DSMs derived from ASTER, ALOS, and SRTM for estimating vegetation cover density in mountainous area. This study used NDVI and SAVI vegetation indices, in addition to forest cover density (FCD) model as references for evaluation. A DSM-based volume index (Volindex) concept is introduced, which is the product of the canopy height model (CHM) and the pixel area. CHM was derived from the value difference between the DSM and the reference DEM. The Volindex model was then compared with the NDVI, SAVI and FCD. We found that all DSM-based Volindex models are not accurate enough to represent the vegetation cover density, although the ALOS Palsar-based Volindex could reach 41.53% accuracy and was finally used to predict the vegetation cover density.","PeriodicalId":52460,"journal":{"name":"Indonesian Journal of Geography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43896458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dhaka, the capital of Bangladesh, is one of the world's fastest-growing cities where imperviousness expanding in tandem. Therefore, accurate estimation of impervious surfaces is essential for urban planning and management. This paper attempts to quantify the changes of urban impervious surfaces in Dhaka district from 1990 to 2020 using remote sensing technology. Satellite images of 1990, 1995, 2000, 2005, 2010, 2015, and 2020 have been taken from the Landsat TM, ETM+, OLI sensor. Unsupervised classification with k-means clustering and three different RS indices NDVI, NDBI, and BUI was used to delineate the actual impervious area of Dhaka city. This study reveals that due to urbanization a net increase of 67.30 sq. miles impervious area is added to the existing amount over the study period. In 2020 total 300.749 sq. miles which contain 51.02% of the total land were occupied by impervious surfaces compared to the 233.446 sq. miles in 1990. Instantaneously taking appropriate strategies is crucial for sustainable urban growth.
{"title":"Quantifying spatiotemporal changes of the urban impervious surface of Dhaka District using Remote sensing Technology","authors":"Mahzabin Abbasi, Samsunnahar Popy, T. Yumin","doi":"10.22146/ijg.72506","DOIUrl":"https://doi.org/10.22146/ijg.72506","url":null,"abstract":"Dhaka, the capital of Bangladesh, is one of the world's fastest-growing cities where imperviousness expanding in tandem. Therefore, accurate estimation of impervious surfaces is essential for urban planning and management. This paper attempts to quantify the changes of urban impervious surfaces in Dhaka district from 1990 to 2020 using remote sensing technology. Satellite images of 1990, 1995, 2000, 2005, 2010, 2015, and 2020 have been taken from the Landsat TM, ETM+, OLI sensor. Unsupervised classification with k-means clustering and three different RS indices NDVI, NDBI, and BUI was used to delineate the actual impervious area of Dhaka city. This study reveals that due to urbanization a net increase of 67.30 sq. miles impervious area is added to the existing amount over the study period. In 2020 total 300.749 sq. miles which contain 51.02% of the total land were occupied by impervious surfaces compared to the 233.446 sq. miles in 1990. Instantaneously taking appropriate strategies is crucial for sustainable urban growth. ","PeriodicalId":52460,"journal":{"name":"Indonesian Journal of Geography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47989254","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Andreas Siswandi, Y. Djamil, R. Rachmayani, S. Y. Cahyarini, M. Hendrizan
Due to its high evaporation rate, the Indo-Pacific Warm Pool (IPWP) is one of the most important drivers of Indonesian weather and climate. Previous studies, based on the Sea Surface Temperature (SST) proxy records, suggest that IPWP in the mid-Holocene era (~6000 years ago) underwent a contraction (colder on its east-west perimeter and warmer on its center) compared to today’s condition. In this research, the role of surface wind in contracting the IPWP was analyzed by checking the coherency between changes in SST, wind-stress magnitude, and evaporation. The Climate Community System Model version 4 (CCSM4) simulated these three physical quantities under the pre-Industrial and mid-Holocene scenarios. In these simulations, an anti-phase relation between SST and wind-stress magnitude indicates an important role for a weaker surface wind in warming the SST in the center of the IPWP (South China Sea and Banda Sea), mainly during boreal autumn. However, a weaker surface wind did not seem to have simultaneously suppressed ocean evaporation to warm the SST, as shown by the phase-lag relation in their monthly climatology. On the other hand, colder SSTs on the east-west perimeter of the IPWP (western coast of Sumatra and northern coast of Papua) are unlikely to be associated with changes in the surface wind following a weak correlation between their SST and wind-stress magnitude
{"title":"First-order analyses on the role of surface wind in the long-term contraction of the Indo-Pacific warm pool","authors":"Andreas Siswandi, Y. Djamil, R. Rachmayani, S. Y. Cahyarini, M. Hendrizan","doi":"10.22146/ijg.75502","DOIUrl":"https://doi.org/10.22146/ijg.75502","url":null,"abstract":"Due to its high evaporation rate, the Indo-Pacific Warm Pool (IPWP) is one of the most important drivers of Indonesian weather and climate. Previous studies, based on the Sea Surface Temperature (SST) proxy records, suggest that IPWP in the mid-Holocene era (~6000 years ago) underwent a contraction (colder on its east-west perimeter and warmer on its center) compared to today’s condition. In this research, the role of surface wind in contracting the IPWP was analyzed by checking the coherency between changes in SST, wind-stress magnitude, and evaporation. The Climate Community System Model version 4 (CCSM4) simulated these three physical quantities under the pre-Industrial and mid-Holocene scenarios. In these simulations, an anti-phase relation between SST and wind-stress magnitude indicates an important role for a weaker surface wind in warming the SST in the center of the IPWP (South China Sea and Banda Sea), mainly during boreal autumn. However, a weaker surface wind did not seem to have simultaneously suppressed ocean evaporation to warm the SST, as shown by the phase-lag relation in their monthly climatology. On the other hand, colder SSTs on the east-west perimeter of the IPWP (western coast of Sumatra and northern coast of Papua) are unlikely to be associated with changes in the surface wind following a weak correlation between their SST and wind-stress magnitude ","PeriodicalId":52460,"journal":{"name":"Indonesian Journal of Geography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48131797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Purwanto, R. Rustam, Dony Andrasmoro, Eviliyanto Eviliyanto
Flood is one of the disasters that often hit various regions in Indonesia, specifically in West Kalimantan. The floods in Nanga Pinoh District, Melawi Regency, submerged 18 villages and thousands of houses. Therefore, this study aimed to map flood risk areas in Nanga Pinoh and their environmental impact. Secondary data on the slope, total rainfall, flow density, soil type, and land cover analyzed with the multi-criteria GIS analysis were used. The results showed that the location had low, medium, and high risks. It was found that areas with high, prone, medium, and low risk class are 1,515.95 ha, 30,194.92 ha, 21,953.80 ha, and 3.14 ha, respectively. These findings implied that the GIS approach and multi-criteria analysis are effective tools for flood risk maps and helpful in anticipating greater losses and mitigating the disasters.
{"title":"Flood Risk Mapping Using GIS and Multi-Criteria Analysis at Nanga Pinoh West Kalimantan Area","authors":"A. Purwanto, R. Rustam, Dony Andrasmoro, Eviliyanto Eviliyanto","doi":"10.22146/ijg.69879","DOIUrl":"https://doi.org/10.22146/ijg.69879","url":null,"abstract":"Flood is one of the disasters that often hit various regions in Indonesia, specifically in West Kalimantan. The floods in Nanga Pinoh District, Melawi Regency, submerged 18 villages and thousands of houses. Therefore, this study aimed to map flood risk areas in Nanga Pinoh and their environmental impact. Secondary data on the slope, total rainfall, flow density, soil type, and land cover analyzed with the multi-criteria GIS analysis were used. The results showed that the location had low, medium, and high risks. It was found that areas with high, prone, medium, and low risk class are 1,515.95 ha, 30,194.92 ha, 21,953.80 ha, and 3.14 ha, respectively. These findings implied that the GIS approach and multi-criteria analysis are effective tools for flood risk maps and helpful in anticipating greater losses and mitigating the disasters.","PeriodicalId":52460,"journal":{"name":"Indonesian Journal of Geography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45112332","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In the past five years, hundreds of villages across Java have practiced tourism, including Bantar Karet, which projects tourism as a new economic structure. It has hosted gold mine activities for years by involving many villagers in non-formal mining activities. However, the ban on illegal mining activities by the government led to a search for new ways for the villagers to earn a living, leading to the operation of tourist attractions. This research discussed the socio-spatial aspect of organizing tourism in Bantar Karet Village using the creative class theory, arguing for its ability to explain the relationship between physical space and rural community development. This argument was tested using empirical data acquired through a mix-methods strategy. These include fieldwork to identify the location of tourism potential within the village, interviews with residents, and focus group discussions with key stakeholder representatives. Tourism potentials were analyzed using four creative measures, namely population, process, product, and environment. The findings subsequently showed several creative tourism traits being developed, as well as an unequal opportunity for the community to participate in tourism activities. Although the benefits to the village are still concentrated in the proximity of tourist attractions, this research confirmed the ability of tourism to enhance rural attractiveness to the creative class, facilitating their entry as tourists, residents, or employees.
{"title":"Mapping Creative Amenities to Develop Tourism Potentials in a Post-Mining Area: A Case Study of Bantar Karet Village, Bogor Regency, Indonesia","authors":"Umar Baihaqki","doi":"10.22146/ijg.52363","DOIUrl":"https://doi.org/10.22146/ijg.52363","url":null,"abstract":"In the past five years, hundreds of villages across Java have practiced tourism, including Bantar Karet, which projects tourism as a new economic structure. It has hosted gold mine activities for years by involving many villagers in non-formal mining activities. However, the ban on illegal mining activities by the government led to a search for new ways for the villagers to earn a living, leading to the operation of tourist attractions. This research discussed the socio-spatial aspect of organizing tourism in Bantar Karet Village using the creative class theory, arguing for its ability to explain the relationship between physical space and rural community development. This argument was tested using empirical data acquired through a mix-methods strategy. These include fieldwork to identify the location of tourism potential within the village, interviews with residents, and focus group discussions with key stakeholder representatives. Tourism potentials were analyzed using four creative measures, namely population, process, product, and environment. The findings subsequently showed several creative tourism traits being developed, as well as an unequal opportunity for the community to participate in tourism activities. Although the benefits to the village are still concentrated in the proximity of tourist attractions, this research confirmed the ability of tourism to enhance rural attractiveness to the creative class, facilitating their entry as tourists, residents, or employees.","PeriodicalId":52460,"journal":{"name":"Indonesian Journal of Geography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46983404","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
F. Djufry, M. Farid, A. F. Adzima, M. Anshori, A. Yassi, Y. Musa, N. Nasaruddin, M. Aqil, H. Iswoyo, M. H. Jamil, Sakka Pati
An unmanned aerial vehicle (UAV), widely known as a drone, proves very effective in assessing cropping or crop cultivation. Its practical use in evaluating corn cultivation technology systems is feasible when based on farmer participation. UAV can generate the Normalized Difference Vegetation Index (NDVI) algorithm that reflects the greenness of leaves, which is a parameter related to photosynthesis and plant productivity. Therefore, the purpose of this study was to evaluate whether the participation-based UAV-derived NDVI could be effectively used to assess corn cultivation technology and determine the appropriate technology to be used in the cultivation. The research was conducted in Tarowang Village in Galesong Selatan District, Takalar Regency, South Sulawesi, Indonesia, using two plots, namely, mother trial and baby trial. The mother trial applied a randomized block design in which eight packages of corn cultivation technology were randomly assigned, whereas the baby trial consisted of eight corn plots cultivated by farmers. In the latter, each farmer received one package of the cultivation technology. The study results indicated that NDVI and yield could effectively evaluate corn cropping. Three packages, i.e., P1, P4, and P5, are recommended for corn cultivation, especially in the village observed. Nevertheless, they are expected to be also applicable to other districts in South Sulawesi to promote improvement in corn production.
{"title":"Normalized Difference Vegetation Index Analysis to Evaluate Corn Cultivation Technology Based on Farmer Participation","authors":"F. Djufry, M. Farid, A. F. Adzima, M. Anshori, A. Yassi, Y. Musa, N. Nasaruddin, M. Aqil, H. Iswoyo, M. H. Jamil, Sakka Pati","doi":"10.22146/ijg.72632","DOIUrl":"https://doi.org/10.22146/ijg.72632","url":null,"abstract":"An unmanned aerial vehicle (UAV), widely known as a drone, proves very effective in assessing cropping or crop cultivation. Its practical use in evaluating corn cultivation technology systems is feasible when based on farmer participation. UAV can generate the Normalized Difference Vegetation Index (NDVI) algorithm that reflects the greenness of leaves, which is a parameter related to photosynthesis and plant productivity. Therefore, the purpose of this study was to evaluate whether the participation-based UAV-derived NDVI could be effectively used to assess corn cultivation technology and determine the appropriate technology to be used in the cultivation. The research was conducted in Tarowang Village in Galesong Selatan District, Takalar Regency, South Sulawesi, Indonesia, using two plots, namely, mother trial and baby trial. The mother trial applied a randomized block design in which eight packages of corn cultivation technology were randomly assigned, whereas the baby trial consisted of eight corn plots cultivated by farmers. In the latter, each farmer received one package of the cultivation technology. The study results indicated that NDVI and yield could effectively evaluate corn cropping. Three packages, i.e., P1, P4, and P5, are recommended for corn cultivation, especially in the village observed. Nevertheless, they are expected to be also applicable to other districts in South Sulawesi to promote improvement in corn production.","PeriodicalId":52460,"journal":{"name":"Indonesian Journal of Geography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46996777","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Muhamud Nabalegwa Wambede, Gertrude Akello, Andrew Mulabbi, Bernard Barasa, J. S. Lugumira, David Amonya
This study aimed at establishing the potential of fruit trees in carbon sequestration. The specific objectives were to establish the carbon stocks in fruit trees compare the potential of carbon stocks in citrus and mango trees and examine the relationship between the management practices and carbon stocks in fruit trees. At the farm level, plots were identified and transects established and individual fruit trees from sampled individual farms along the transect were selected. At the tree level, measurements of tree height and diameter at breast height were made. They were converted to biomass using allometric equations. Analysis of Variance was used to compare the differences in carbon stocks between the fruit trees and between the different management practices. Findings revealed higher biomass and carbon stocks in mango trees as compared to citrus (74.57 ± 14.95 and 13.52 ± 1.25 t/ha respectively). Significant differences are also reported in carbon stocks under different management practices (p < 0.05). Irrespective of the species type, above-ground carbon under different management practices followed the order (from highest to lowest): Inorganic fertilizer < Intercrop < Monocrop < organic fertilizer and irrigation < intercrop and inorganic fertilizer. The results also point out that mango fruits have a high potential to sequestrate carbon emissions hence mitigating global warming.
{"title":"Carbon Sequestration of Fruit Trees under Contrasting Management Regimes","authors":"Muhamud Nabalegwa Wambede, Gertrude Akello, Andrew Mulabbi, Bernard Barasa, J. S. Lugumira, David Amonya","doi":"10.22146/ijg.70203","DOIUrl":"https://doi.org/10.22146/ijg.70203","url":null,"abstract":"This study aimed at establishing the potential of fruit trees in carbon sequestration. The specific objectives were to establish the carbon stocks in fruit trees compare the potential of carbon stocks in citrus and mango trees and examine the relationship between the management practices and carbon stocks in fruit trees. At the farm level, plots were identified and transects established and individual fruit trees from sampled individual farms along the transect were selected. At the tree level, measurements of tree height and diameter at breast height were made. They were converted to biomass using allometric equations. Analysis of Variance was used to compare the differences in carbon stocks between the fruit trees and between the different management practices. Findings revealed higher biomass and carbon stocks in mango trees as compared to citrus (74.57 ± 14.95 and 13.52 ± 1.25 t/ha respectively). Significant differences are also reported in carbon stocks under different management practices (p < 0.05). Irrespective of the species type, above-ground carbon under different management practices followed the order (from highest to lowest): Inorganic fertilizer < Intercrop < Monocrop < organic fertilizer and irrigation < intercrop and inorganic fertilizer. The results also point out that mango fruits have a high potential to sequestrate carbon emissions hence mitigating global warming.","PeriodicalId":52460,"journal":{"name":"Indonesian Journal of Geography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45541111","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study understands the rise and fall of cities as a result of colonial worldview and practices. Based on spatial political-economic thinking, this study examines the spatial implications of Dutch colonialism on urban growth in Java during the 19th century. The practice of colonialism at that time took place in a relatively stable regional situation. The analysis of textual data from various literature indicates that the economic liberalization of Dutch colonialism in that time was a continuation of the VOC’s mercantilism but with a stronger intention to control the factors of production. Territorial expansion to fertile areas indeed encouraged the emergence of medium-sized cities in the inland, but on the other hand, degenerated several older cities on the coast. Spatially, the ambitions and practices of colonialism had a limited implication on urban growth. The combination of territorial and capital logic triggered political liquidation which was reflected in the spatial pattern of urban growth. The identity and symbol of colonial power were attached as new elements to the cities. This process revealed a locational decision to channel economic benefits to strategic places for sustaining domination of power for the long-term.
{"title":"A Spatial Political-Economic Review on Urban Growth in Java under Economic Liberalization of Dutch Colonialism During the 19th Century","authors":"H. Setiadi, H. S. Yunus, B. Purwanto","doi":"10.22146/ijg.60550","DOIUrl":"https://doi.org/10.22146/ijg.60550","url":null,"abstract":"This study understands the rise and fall of cities as a result of colonial worldview and practices. Based on spatial political-economic thinking, this study examines the spatial implications of Dutch colonialism on urban growth in Java during the 19th century. The practice of colonialism at that time took place in a relatively stable regional situation. The analysis of textual data from various literature indicates that the economic liberalization of Dutch colonialism in that time was a continuation of the VOC’s mercantilism but with a stronger intention to control the factors of production. Territorial expansion to fertile areas indeed encouraged the emergence of medium-sized cities in the inland, but on the other hand, degenerated several older cities on the coast. Spatially, the ambitions and practices of colonialism had a limited implication on urban growth. The combination of territorial and capital logic triggered political liquidation which was reflected in the spatial pattern of urban growth. The identity and symbol of colonial power were attached as new elements to the cities. This process revealed a locational decision to channel economic benefits to strategic places for sustaining domination of power for the long-term.","PeriodicalId":52460,"journal":{"name":"Indonesian Journal of Geography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49541281","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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