Araştırma Makalesi
BibTex RIS Kaynak Göster

Dynamic trajectories of land use and land cover changes in Lombok Island, West Nusa Tenggara, Indonesia

Yıl 2024, Cilt: 25 Sayı: 4, 447 - 458, 28.12.2024
https://doi.org/10.18182/tjf.1524144

Öz

This study investigates the dynamic trajectories of land use and land cover (LULC) changes in Lombok Island, West Nusa Tenggara, Indonesia, from 2013 to 2022. Utilizing Landsat satellite imagery and a combination of land cover classes from the Indonesian Ministry of Environment and Forestry (MoEF) with the machine learning-based Random Forest algorithm, we aimed to improve classification accuracy and model land cover transitions over time. Intensity analysis was used to measure the impact of population-related land use changes, while trajectory analysis quantified the directional shifts in land cover was employed to quantify and characterize these changes. The analysis highlights substantial transitions from primary and secondary forests to agricultural lands and urban areas, driven by urbanization, population growth, and infrastructure development. Specifically, the period saw a significant forest loss of 28,095 hectares, accounting for 24% of the total forest area, alongside a modest forest gain of 2,453 hectares, indicating ongoing environmental pressures. Despite conservation efforts, rapid economic growth continues to threaten Lombok's forest ecosystems. These findings underscore the urgent need for sustainable land management policies to balance development and ecological preservation while mitigating future forest losses.

Teşekkür

This study is derived from the Master’s Thesis named "Assessing factors driving land use/land cover classes using machine learning, case study of Lombok Island-Indonesia" in the department of Forest Engineering, Institute of Graduate Education, Isparta University of Applied Sciences. Special thanks go to the Saujana Climate Community for their invaluable support and contributions throughout this research. Your assistance has been instrumental in ensuring the successful completion of this study.

Kaynakça

  • Akodéwou, A., Oszwald, J., Saïdi, S., Gazull, L., Akpavi, S., Akpagana, K., Gond, V., 2020. Land use and land cover dynamics analysis of the Togodo protected area and its surroundings in Southeastern Togo, West Africa. Sustainability, 5439, 12(13): 5439. https://doi.org/10.3390/ SU12135439.
  • Bohensky, E.L., Kirono, D.G.C., Butler, J.R.A., Rochester, W., Habibi, P., Handayani, T., Yanuartati, Y., 2016. Climate knowledge cultures: Stakeholder perspectives on change and adaptation in Nusa Tenggara Barat, Indonesia. Climate Risk Management, 12: 17–31. https://doi.org/10.1016/J. CRM.2015.11.004.
  • Breiman, L., 2001. Random forests. Machine Learning, 45(1): 5–32. https://doi.org/10.1023/A:1010933404324/METRICS.
  • Çoban, H.O., 2009. Bilgisayar destekli konusal orman haritalarının üretilmesi. Turkish Journal of Forestry, 5(2):83-96. https://doi.org/10.18182/TJF.93497.
  • Das, S., Angadi, D.P., 2022. Land use land cover change detection and monitoring of urban growth using remote sensing and GIS techniques: a micro-level study. GeoJournal, 87(3): 2101–2123. https://doi.org/10.1007/S10708-020-10359-1/METRICS.
  • Das, T.K., Barik, D.K., Kumar, K.V.G.R., 2022. Land use land cover prediction from satellite images using machine learning techniques. International Conference on Machine Learning, Big Data, Cloud and Parallel Computing, 26-27 May 2022, Faridabad, India, 338-343. https://doi.org/10.1109/COM-IT-CON54601.2022.9850602.
  • P.1-VII-IPSDH , 2015. PERDIRJEN of Forestry Planning No. P.1-VII-IPSDH-2015 Regarding land cover monitoring guidelines, Jakarta , Indonesia.
  • DLHK NTB, 2021. Lestari NTB Hijau. https://lestari. ntbprov.go.id/ntb-hijau, Accessed: 22.05.2023.
  • Edith, B., Xue, B., 2020. A review of influences of land use and land cover change on ecosystems. Chinese Journal of Plant Ecology, 44(5): 543. https://doi.org/10.17521/CJPE.2020.0071
  • Eker, M., Poudel, K.P., Özçelik, R., 2017. Aboveground biomass equations for small trees of Brutian pine in Turkey to facilitate harvesting and management. Forests, 8(12):477. https://doi.org/10.3390/F8120477.
  • Gokarn, K., Steingrube, A., Sen, R., 2023. Local strategies towards 100% renewable energy cities and regions for West Nusa Tenggara, Indonesia. IOP Conference Series: Earth and Environmental Science: 2nd ASEAN International Conference on Energy and Environment, 13-15 September 2022, Phnom Penh, Cambodia. 1199(1): 012009. https://doi.org/ 10.1088/1755-1315/1199/1/012009.
  • Gong, W., Duan, X., Mao, M., Hu, J., Sun, Y., Wu, G., Zhang, Y., Xie, Y., Qiu, X., Rao, X., Liu, T., Liu, T., 2022. Assessing the impact of land use and changes in land cover related to carbon storage by linking trajectory analysis and InVEST models in the Nandu River Basin on Hainan Island in China. Frontiers in Environmental Science, 10: 1038752. https://doi.org/10.3389/FENVS.2022.1038752/BIBTEX.
  • Huang, B., Huang, J., Gilmore Pontius, R., Tu, Z., 2018. Comparison of Intensity Analysis and the land use dynamic degrees to measure land changes outside versus inside the coastal zone of Longhai, China. Ecological Indicators, 89: 336–347. https://doi.org/10.1016/J.ECOLIND.2017.12.057. Just Finance, 2023. If it is detrimental to communities, then what is development for the Human Rights and Socio-Economic Impacts of the Mandalika Urban Tourism and Development Project, Just Finance International. https://justfinanceinternational.org/2023/04/13/if-it-is-detrimental-to-communities-then-what-is-development-for-the-human-rights-and-socio-economic-impacts-of-the-mandalika-urban-tourism-and-development-project/ Accessed: 22.05.2023.
  • Karimov, Y., Musaev, I., Mirzababayeva, S., Abobakirova, Z., Umarov, S., Mirzaeva, Z., 2023. Land use and land cover change dynamics of Uzbekistan: a review. E3S Web of Conferences, 421: 03007. https://doi.org/10.1051/ E3SCONF/202342103007
  • Kim, C., 2016. Land use classification and land use change analysis using satellite images in Lombok Island, Indonesia. Forest Science and Technology, 12(4): 183–191. https://doi.org/ 10.1080/21580103.2016.1147498
  • Latifah, S., Idris, M.H., Firdaus, R.S., Valentino, N., Hidayati, E., nuraini, nuraini, Putra, T.Z., 2020. Vegetation characteristics and carbon stocks after earthquake in forest for specific purpose (Khdtk) Senaru. Jurnal Penelitian Hutan Dan Konservasi Alam, 17(2): 173–189. https://doi.org/10.20886/JPHKA.2020.17. 2.173-189
  • Mariye, M., Jianhua, L., Maryo, M., 2022. Land use land cover change analysis and detection of its drivers using geospatial techniques: a case of south-central Ethiopia. All Earth, 34(1): 309–332. https://doi.org/10.1080/27669645.2022.2139023
  • Markum, Rahman, F.A., 2024. Surface runoff in varying forest cover types in Jangkok Watershed, Lombok Island, Indonesia. Biodiversitas Journal of Biological Diversity, 25(2): 753–761. https://doi.org/10.13057/BIODIV/D250235.
  • Margono, B., Potapov, P., Turubanova, S., Hansen, M.C., 2014. Primary forest cover loss in Indonesia over 2000–2012. Nature Clim Change 4, 730–735. https://doi.org/10.1038/ nclimate2277.
  • Masril, B.L., 2018. Analysis of land use of agricultural sector in improving GRDP of East Lombok Regency, Indonesia. Sumatra Journal of Disaster, Geography and Geography Education, 2(1): 108–114. https://doi.org/10.24036/ SJDGGE.V2I1.122.
  • Miettinen, J., Shi, C., Liew, S.C., 2011. Deforestation rates in insular Southeast Asia between 2000 and 2010. Global Change Biology, 17(7): 2261–2270. https://doi.org/10.1111/J.1365-2486.2011.02398.X
  • Mugiraneza, T., Nascetti, A., Ban, Y., 2020. Continuous monitoring of urban land cover change trajectories with Landsat time series and land trendr-google earth engine cloud computing. Remote Sensing, 12(18): 2883. https://doi.org/10.3390/RS12182883.
  • Ouedraogo, V., Hackman, K. O., Thiel, M., Dukiya, J., 2023. Intensity analysis for urban land use/land cover dynamics characterization of Ouagadougou and Bobo-Dioulasso in Burkina Faso. Land, 12(5): 1063. https://doi.org/10.3390/LAND12051063.
  • Regional Regulation of West Nusa Tenggara Number 3, 2010. The Regional Spatial Plan of West Nusa Tenggara Province 2009-2029, Mataram, Indonesia.
  • Purnama, M.I., Jaya, I.N.S., Syaufina, L., Çoban, H.O., Raihan, M., 2024. Predicting forest fire vulnerability using machine learning approaches in the Mediterranean Region: a case study of Türkiye. IOP Conference Series Earth and Environmental Science: The 4th International Conference on Tropical Silviculture, 24 August 2023, Bogor, Indonesia, 1315(1): 12056. https://doi.org/10.1088/1755-1315/1315/1/012056.
  • Quan, B., Pontius, R.G., Song, H., 2020. Intensity Analysis to communicate land change during three time intervals in two regions of Quanzhou City, China. GIScience & Remote Sensing, 57(1): 21–36. https://doi.org/10.1080/15481603.2019.1658420
  • Rawat, J.S., Kumar, M., 2015. Monitoring land use/cover change using remote sensing and GIS techniques: A case study of Hawalbagh block, district Almora, Uttarakhand, India. The Egyptian Journal of Remote Sensing and Space Science, 18(1): 77–84. https://doi.org/10.1016/J.EJRS.2015.02.002.
  • Rijal, S., Mutmainnah, I., Nursaputra, M., Chairil, A., 2023. Deforestation vulnerability based administrative boundary and forest area in Nusa Tenggara, Indonesia. IOP Conference Series Earth and Environmental Science: 3rd Biennial Conference of Tropical Biodiversity, 08-09 August 2023, Makassar, Indonesia, 1277(1), 012018. https://doi.org/10.1088/1755-1315/1277/1/012018.
  • Sameer, M.K., Hamid, A.M., 2023. Remote sensing and GIS techniques in monitoring land use land cover change. International Journal of Sustainable Construction Engineering Technology, 14(1): 13–20. https://doi.org/10.30880/ IJSCET.2023.14.01.002.
  • Sinurat, J., Arifien, Y., 2021. Economic growth and deforestation: a study of changes in land coverage in West Nusa Tenggara Province. Proceedings of the 2nd Borobudur International Symposium on Humanities and Social Sciences, 18 November 2020, Magelang, Central Java, Indonesia https://doi.org/10.4108/EAI.18-11-2020.2311708.
  • The Diplomat, 2023. Indonesia’s Mandalika Project Reveals the Dark Side of AIIB Lending. The Diplomat. https://thediplomat.com/2023/06/indonesias-mandalika-project-reveals-the-dark-side-of-aiib-lending/,Accessed: 22.05.2023.
  • Van der Laan, C., Budiman, A., Verstegen, J.A., Dekker, S.C., Effendy, W., Faaij, A.P.C., Kusuma, A.D., Verweij, P.A., 2018. Analyses of land cover change trajectories leading to tropical forest loss: illustrated for the West Kutai and Mahakam Ulu Districts, East Kalimantan, Indonesia. Land, 7(3): 108. https://doi.org/ 10.3390/LAND7030108.
  • Zhou, Q., Li, B., Kurban, A., 2008. Spatial pattern analysis of land cover change trajectories in Tarim Basin, northwest China. International Journal of Remote Sensing, 29(19): 5495–5509. https://doi.org/10.1080/01431160802060938
  • Zioti, F., Ferreira, K.R., Queiroz, G.R., Neves, A.K., Carlos, F. M., Souza, F.C., Santos, L.A., Simoes, R.E.O., 2022. A platform for land use and land cover data integration and trajectory analysis. International Journal of Applied Earth Observation and Geoinformation, 106: 102655. https://doi.org/10.1016/J.JAG. 2021.102655

Endonezya'nın Batı Nusa Tenggara Bölgesi’nde bulunan Lombok Adası'ndaki arazi kullanımı ve arazi örtüsü değişimlerinin dinamik izleri

Yıl 2024, Cilt: 25 Sayı: 4, 447 - 458, 28.12.2024
https://doi.org/10.18182/tjf.1524144

Öz

Bu çalışma, 2013-2022 yılları arasında Endonezya'nın Batı Nusa Tenggara Bölgesinde bulunan Lombok Adası'ndaki arazi kullanımı ve arazi örtüsü (AK/AÖ) değişimlerinin dinamik yörüngelerini incelemektedir. Çalışmada, Landsat uydu görüntüleri ve Endonezya Çevre ve Orman Bakanlığı'nın (MoEF) arazi örtüsü sınıfları, makine öğrenimi tabanlı Random Forest algoritması ile birleştirilerek sınıflandırma doğruluğunu artırmayı ve zaman içinde arazi örtüsü geçişlerini modellemeyi amaçladık. Nüfusla ilişkili arazi kullanımı değişimlerinin etkilerini ölçmek için yoğunluk analizi, arazi örtüsü değişimlerinin yönelimini belirlemek için ise yörünge analizi kullanılmıştır. Analiz, kentleşme, nüfus artışı ve altyapı gelişiminin etkisiyle birincil ve ikincil ormanlardan tarım arazilerine ve kentsel alanlara önemli geçişler olduğunu vurgulamaktadır. Özellikle, dönemde toplam orman alanının %24'üne denk gelen 28.095 hektarlık orman kaybı ve 2.453 hektarlık orman kazancı gözlemlenmiştir. Bu durum, çevresel baskıların hala devam ettiğini göstermektedir. Koruma çabalarına rağmen, hızlı ekonomik büyüme Lombok'un orman ekosistemleri üzerinde baskı oluşturmaya devam etmektedir. Bulgular, kalkınmayı ve ekolojik korumayı dengeleyerek gelecekteki orman kayıplarını azaltmayı hedefleyen sürdürülebilir arazi yönetimi politikalarının acil gerekliliğini ortaya koymaktadır.

Kaynakça

  • Akodéwou, A., Oszwald, J., Saïdi, S., Gazull, L., Akpavi, S., Akpagana, K., Gond, V., 2020. Land use and land cover dynamics analysis of the Togodo protected area and its surroundings in Southeastern Togo, West Africa. Sustainability, 5439, 12(13): 5439. https://doi.org/10.3390/ SU12135439.
  • Bohensky, E.L., Kirono, D.G.C., Butler, J.R.A., Rochester, W., Habibi, P., Handayani, T., Yanuartati, Y., 2016. Climate knowledge cultures: Stakeholder perspectives on change and adaptation in Nusa Tenggara Barat, Indonesia. Climate Risk Management, 12: 17–31. https://doi.org/10.1016/J. CRM.2015.11.004.
  • Breiman, L., 2001. Random forests. Machine Learning, 45(1): 5–32. https://doi.org/10.1023/A:1010933404324/METRICS.
  • Çoban, H.O., 2009. Bilgisayar destekli konusal orman haritalarının üretilmesi. Turkish Journal of Forestry, 5(2):83-96. https://doi.org/10.18182/TJF.93497.
  • Das, S., Angadi, D.P., 2022. Land use land cover change detection and monitoring of urban growth using remote sensing and GIS techniques: a micro-level study. GeoJournal, 87(3): 2101–2123. https://doi.org/10.1007/S10708-020-10359-1/METRICS.
  • Das, T.K., Barik, D.K., Kumar, K.V.G.R., 2022. Land use land cover prediction from satellite images using machine learning techniques. International Conference on Machine Learning, Big Data, Cloud and Parallel Computing, 26-27 May 2022, Faridabad, India, 338-343. https://doi.org/10.1109/COM-IT-CON54601.2022.9850602.
  • P.1-VII-IPSDH , 2015. PERDIRJEN of Forestry Planning No. P.1-VII-IPSDH-2015 Regarding land cover monitoring guidelines, Jakarta , Indonesia.
  • DLHK NTB, 2021. Lestari NTB Hijau. https://lestari. ntbprov.go.id/ntb-hijau, Accessed: 22.05.2023.
  • Edith, B., Xue, B., 2020. A review of influences of land use and land cover change on ecosystems. Chinese Journal of Plant Ecology, 44(5): 543. https://doi.org/10.17521/CJPE.2020.0071
  • Eker, M., Poudel, K.P., Özçelik, R., 2017. Aboveground biomass equations for small trees of Brutian pine in Turkey to facilitate harvesting and management. Forests, 8(12):477. https://doi.org/10.3390/F8120477.
  • Gokarn, K., Steingrube, A., Sen, R., 2023. Local strategies towards 100% renewable energy cities and regions for West Nusa Tenggara, Indonesia. IOP Conference Series: Earth and Environmental Science: 2nd ASEAN International Conference on Energy and Environment, 13-15 September 2022, Phnom Penh, Cambodia. 1199(1): 012009. https://doi.org/ 10.1088/1755-1315/1199/1/012009.
  • Gong, W., Duan, X., Mao, M., Hu, J., Sun, Y., Wu, G., Zhang, Y., Xie, Y., Qiu, X., Rao, X., Liu, T., Liu, T., 2022. Assessing the impact of land use and changes in land cover related to carbon storage by linking trajectory analysis and InVEST models in the Nandu River Basin on Hainan Island in China. Frontiers in Environmental Science, 10: 1038752. https://doi.org/10.3389/FENVS.2022.1038752/BIBTEX.
  • Huang, B., Huang, J., Gilmore Pontius, R., Tu, Z., 2018. Comparison of Intensity Analysis and the land use dynamic degrees to measure land changes outside versus inside the coastal zone of Longhai, China. Ecological Indicators, 89: 336–347. https://doi.org/10.1016/J.ECOLIND.2017.12.057. Just Finance, 2023. If it is detrimental to communities, then what is development for the Human Rights and Socio-Economic Impacts of the Mandalika Urban Tourism and Development Project, Just Finance International. https://justfinanceinternational.org/2023/04/13/if-it-is-detrimental-to-communities-then-what-is-development-for-the-human-rights-and-socio-economic-impacts-of-the-mandalika-urban-tourism-and-development-project/ Accessed: 22.05.2023.
  • Karimov, Y., Musaev, I., Mirzababayeva, S., Abobakirova, Z., Umarov, S., Mirzaeva, Z., 2023. Land use and land cover change dynamics of Uzbekistan: a review. E3S Web of Conferences, 421: 03007. https://doi.org/10.1051/ E3SCONF/202342103007
  • Kim, C., 2016. Land use classification and land use change analysis using satellite images in Lombok Island, Indonesia. Forest Science and Technology, 12(4): 183–191. https://doi.org/ 10.1080/21580103.2016.1147498
  • Latifah, S., Idris, M.H., Firdaus, R.S., Valentino, N., Hidayati, E., nuraini, nuraini, Putra, T.Z., 2020. Vegetation characteristics and carbon stocks after earthquake in forest for specific purpose (Khdtk) Senaru. Jurnal Penelitian Hutan Dan Konservasi Alam, 17(2): 173–189. https://doi.org/10.20886/JPHKA.2020.17. 2.173-189
  • Mariye, M., Jianhua, L., Maryo, M., 2022. Land use land cover change analysis and detection of its drivers using geospatial techniques: a case of south-central Ethiopia. All Earth, 34(1): 309–332. https://doi.org/10.1080/27669645.2022.2139023
  • Markum, Rahman, F.A., 2024. Surface runoff in varying forest cover types in Jangkok Watershed, Lombok Island, Indonesia. Biodiversitas Journal of Biological Diversity, 25(2): 753–761. https://doi.org/10.13057/BIODIV/D250235.
  • Margono, B., Potapov, P., Turubanova, S., Hansen, M.C., 2014. Primary forest cover loss in Indonesia over 2000–2012. Nature Clim Change 4, 730–735. https://doi.org/10.1038/ nclimate2277.
  • Masril, B.L., 2018. Analysis of land use of agricultural sector in improving GRDP of East Lombok Regency, Indonesia. Sumatra Journal of Disaster, Geography and Geography Education, 2(1): 108–114. https://doi.org/10.24036/ SJDGGE.V2I1.122.
  • Miettinen, J., Shi, C., Liew, S.C., 2011. Deforestation rates in insular Southeast Asia between 2000 and 2010. Global Change Biology, 17(7): 2261–2270. https://doi.org/10.1111/J.1365-2486.2011.02398.X
  • Mugiraneza, T., Nascetti, A., Ban, Y., 2020. Continuous monitoring of urban land cover change trajectories with Landsat time series and land trendr-google earth engine cloud computing. Remote Sensing, 12(18): 2883. https://doi.org/10.3390/RS12182883.
  • Ouedraogo, V., Hackman, K. O., Thiel, M., Dukiya, J., 2023. Intensity analysis for urban land use/land cover dynamics characterization of Ouagadougou and Bobo-Dioulasso in Burkina Faso. Land, 12(5): 1063. https://doi.org/10.3390/LAND12051063.
  • Regional Regulation of West Nusa Tenggara Number 3, 2010. The Regional Spatial Plan of West Nusa Tenggara Province 2009-2029, Mataram, Indonesia.
  • Purnama, M.I., Jaya, I.N.S., Syaufina, L., Çoban, H.O., Raihan, M., 2024. Predicting forest fire vulnerability using machine learning approaches in the Mediterranean Region: a case study of Türkiye. IOP Conference Series Earth and Environmental Science: The 4th International Conference on Tropical Silviculture, 24 August 2023, Bogor, Indonesia, 1315(1): 12056. https://doi.org/10.1088/1755-1315/1315/1/012056.
  • Quan, B., Pontius, R.G., Song, H., 2020. Intensity Analysis to communicate land change during three time intervals in two regions of Quanzhou City, China. GIScience & Remote Sensing, 57(1): 21–36. https://doi.org/10.1080/15481603.2019.1658420
  • Rawat, J.S., Kumar, M., 2015. Monitoring land use/cover change using remote sensing and GIS techniques: A case study of Hawalbagh block, district Almora, Uttarakhand, India. The Egyptian Journal of Remote Sensing and Space Science, 18(1): 77–84. https://doi.org/10.1016/J.EJRS.2015.02.002.
  • Rijal, S., Mutmainnah, I., Nursaputra, M., Chairil, A., 2023. Deforestation vulnerability based administrative boundary and forest area in Nusa Tenggara, Indonesia. IOP Conference Series Earth and Environmental Science: 3rd Biennial Conference of Tropical Biodiversity, 08-09 August 2023, Makassar, Indonesia, 1277(1), 012018. https://doi.org/10.1088/1755-1315/1277/1/012018.
  • Sameer, M.K., Hamid, A.M., 2023. Remote sensing and GIS techniques in monitoring land use land cover change. International Journal of Sustainable Construction Engineering Technology, 14(1): 13–20. https://doi.org/10.30880/ IJSCET.2023.14.01.002.
  • Sinurat, J., Arifien, Y., 2021. Economic growth and deforestation: a study of changes in land coverage in West Nusa Tenggara Province. Proceedings of the 2nd Borobudur International Symposium on Humanities and Social Sciences, 18 November 2020, Magelang, Central Java, Indonesia https://doi.org/10.4108/EAI.18-11-2020.2311708.
  • The Diplomat, 2023. Indonesia’s Mandalika Project Reveals the Dark Side of AIIB Lending. The Diplomat. https://thediplomat.com/2023/06/indonesias-mandalika-project-reveals-the-dark-side-of-aiib-lending/,Accessed: 22.05.2023.
  • Van der Laan, C., Budiman, A., Verstegen, J.A., Dekker, S.C., Effendy, W., Faaij, A.P.C., Kusuma, A.D., Verweij, P.A., 2018. Analyses of land cover change trajectories leading to tropical forest loss: illustrated for the West Kutai and Mahakam Ulu Districts, East Kalimantan, Indonesia. Land, 7(3): 108. https://doi.org/ 10.3390/LAND7030108.
  • Zhou, Q., Li, B., Kurban, A., 2008. Spatial pattern analysis of land cover change trajectories in Tarim Basin, northwest China. International Journal of Remote Sensing, 29(19): 5495–5509. https://doi.org/10.1080/01431160802060938
  • Zioti, F., Ferreira, K.R., Queiroz, G.R., Neves, A.K., Carlos, F. M., Souza, F.C., Santos, L.A., Simoes, R.E.O., 2022. A platform for land use and land cover data integration and trajectory analysis. International Journal of Applied Earth Observation and Geoinformation, 106: 102655. https://doi.org/10.1016/J.JAG. 2021.102655
Toplam 34 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Ormancılık (Diğer)
Bölüm Orijinal Araştırma Makalesi
Yazarlar

Miftahul Irsyadi Purnama 0000-0002-3341-1637

H. Oğuz Çoban 0000-0002-4037-4811

Yayımlanma Tarihi 28 Aralık 2024
Gönderilme Tarihi 29 Temmuz 2024
Kabul Tarihi 21 Ekim 2024
Yayımlandığı Sayı Yıl 2024 Cilt: 25 Sayı: 4

Kaynak Göster

APA Purnama, M. I., & Çoban, H. O. (2024). Dynamic trajectories of land use and land cover changes in Lombok Island, West Nusa Tenggara, Indonesia. Turkish Journal of Forestry, 25(4), 447-458. https://doi.org/10.18182/tjf.1524144
AMA Purnama MI, Çoban HO. Dynamic trajectories of land use and land cover changes in Lombok Island, West Nusa Tenggara, Indonesia. Turkish Journal of Forestry. Aralık 2024;25(4):447-458. doi:10.18182/tjf.1524144
Chicago Purnama, Miftahul Irsyadi, ve H. Oğuz Çoban. “Dynamic Trajectories of Land Use and Land Cover Changes in Lombok Island, West Nusa Tenggara, Indonesia”. Turkish Journal of Forestry 25, sy. 4 (Aralık 2024): 447-58. https://doi.org/10.18182/tjf.1524144.
EndNote Purnama MI, Çoban HO (01 Aralık 2024) Dynamic trajectories of land use and land cover changes in Lombok Island, West Nusa Tenggara, Indonesia. Turkish Journal of Forestry 25 4 447–458.
IEEE M. I. Purnama ve H. O. Çoban, “Dynamic trajectories of land use and land cover changes in Lombok Island, West Nusa Tenggara, Indonesia”, Turkish Journal of Forestry, c. 25, sy. 4, ss. 447–458, 2024, doi: 10.18182/tjf.1524144.
ISNAD Purnama, Miftahul Irsyadi - Çoban, H. Oğuz. “Dynamic Trajectories of Land Use and Land Cover Changes in Lombok Island, West Nusa Tenggara, Indonesia”. Turkish Journal of Forestry 25/4 (Aralık 2024), 447-458. https://doi.org/10.18182/tjf.1524144.
JAMA Purnama MI, Çoban HO. Dynamic trajectories of land use and land cover changes in Lombok Island, West Nusa Tenggara, Indonesia. Turkish Journal of Forestry. 2024;25:447–458.
MLA Purnama, Miftahul Irsyadi ve H. Oğuz Çoban. “Dynamic Trajectories of Land Use and Land Cover Changes in Lombok Island, West Nusa Tenggara, Indonesia”. Turkish Journal of Forestry, c. 25, sy. 4, 2024, ss. 447-58, doi:10.18182/tjf.1524144.
Vancouver Purnama MI, Çoban HO. Dynamic trajectories of land use and land cover changes in Lombok Island, West Nusa Tenggara, Indonesia. Turkish Journal of Forestry. 2024;25(4):447-58.