{"title":"Estimasi Stok Karbon Mangrove Pasca Rehabilitasi di Desa Kaliwlingi, Brebes Menggunakan Citra Sentinel-2","authors":"Lovensia Zukruff Albasit, Rudhi Pribadi, Rini Pramesti","doi":"10.14710/jmr.v11i4.31734","DOIUrl":null,"url":null,"abstract":"Mangrove sebagai ekosistem karbon biru berperan penting dalam mitigasi perubahan iklim namun di sisi lain keberadaannya terancam oleh konversi lahan. Rehabilitasi mangrove telah banyak dilakukan dan untuk mengelolanya secara berkelanjutan stok karbon mangrove perlu diketahui untuk kebutuhan pasar karbon. Pesisir Kota Brebes menjadi salah satu daerah yang berhasil merehabilitasi kawasan hutan mangrove. Penelitian ini bertujuan untuk mengestimasi stok karbon mangrove pasca rehabilitasi di Desa Kaliwlingi, Brebes berdasarkan perbedaan tahun tanam, yakni 2005, 2008, 2011, 2014 dan 2017. Penelitian lapangan dilakukan pada 21–23 November 2020. Metode terdiri dari survei lapangan, perhitungan allometrik dan pengolahan citra Sentinel-2. Survei lapangan dilakukan guna mengetahui komposisi spesies dan diameter setinggi dada (DBH) tiap tegakan mangrove. Rumus allometrik spesies-spesifik digunakan untuk menghitung biomassa mangrove yang kemudian dikonversi menjadi nilai stok karbon di tiap lahan rehabilitasi. Citra Sentinel-2 ditransformasi dengan Normalized Difference Vegetation Index (NDVI), selanjutnya dilakukan analisis regresi antara nilai NDVI dan stok karbon untuk mendapatkan model pendugaan stok karbon menggunakan citra satelit. Terdapat tiga spesies mangrove yang ditemukan, yaitu Rhizophora mucronata, Avicennia alba dan Avicennia marina. Hasil menunjukkan bahwa stok karbon mangrove tahun tanam 2005, 2008, 2011, 2014 dan 2017 secara berturut-turut adalah 80,69 tonC/ha, 95,08 tonC/ha, 104,19 tonC/ha, 175,13 tonC/ha dan 137,35 tonC/ha. Hasil analisis regresi antara nilai NDVI dan stok karbon mangrove menunjukkan koefisien determinasi yang sangat rendah (R2 = 0,06), sehingga model tidak dapat digunakan untuk menduga stok karbon mangrove. Hasil penelitian ini menunjukkan bahwa tidak ada peningkatan stok karbon seiring dengan semakin tua lahan mangrove. Spesies A. marina berkontribusi besar untuk perolehan stok karbon mangrove yang lebih tinggi dibandingkan R. mucronata. Mangrove as blue carbon ecosystem has a significant role in mitigating climate change which existence is threatened by land conversion. Mangrove rehabilitation has been widely done and requires sustainable management by knowing the carbon stock as a call for carbon market. The coastal area of Brebes is one of the regions that has successfully rehabilitated mangrove forest area. This research aims to estimate post-rehabilitation mangrove carbon stock in Kaliwlingi, Brebes based on different planting years, i.e. 2005, 2008, 2011, 2014 dan 2017. A field research was conducted on November 21st – 23rd 2020. The method involved field survey, allometric calculation and Sentinel-2 processing. A field survey was conducted to collect the diameter at breast height (DBH) of each stand and species composition. Species-specific allometric equations were used to calculate mangrove biomass, subsequently converted into carbon stock in each rehabilitated area. Sentinel-2 imagery was transformed using the Normalized Difference Vegetation Index (NDVI). Regression analysis was performed between NDVI value and carbon stock to obtain the estimation model for mangrove carbon stock using satellite imagery. There are three species found, namely Rhizophora mucronata, Avicennia alba and Avicennia marina. The result shows carbon stock in plantation of 2005, 2008, 2011, 2014 and 2017 are 80.69 tonC/ha, 95.08 tonC/ha, 104.19 tonC/ha, 175.13 tonC/ha and 137.35 tonC /ha respectively. Regression analysis of NDVI and carbon stock shows a very poor coefficient of determination (R2 = 0.06), therefore the model is incompatible for estimating carbon stock. In this research, mangrove carbon stock is not increasing with plantation age. A. marina has huge contribution for a higher carbon stock compared to R. mucronata.","PeriodicalId":0,"journal":{"name":"","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.14710/jmr.v11i4.31734","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Mangrove sebagai ekosistem karbon biru berperan penting dalam mitigasi perubahan iklim namun di sisi lain keberadaannya terancam oleh konversi lahan. Rehabilitasi mangrove telah banyak dilakukan dan untuk mengelolanya secara berkelanjutan stok karbon mangrove perlu diketahui untuk kebutuhan pasar karbon. Pesisir Kota Brebes menjadi salah satu daerah yang berhasil merehabilitasi kawasan hutan mangrove. Penelitian ini bertujuan untuk mengestimasi stok karbon mangrove pasca rehabilitasi di Desa Kaliwlingi, Brebes berdasarkan perbedaan tahun tanam, yakni 2005, 2008, 2011, 2014 dan 2017. Penelitian lapangan dilakukan pada 21–23 November 2020. Metode terdiri dari survei lapangan, perhitungan allometrik dan pengolahan citra Sentinel-2. Survei lapangan dilakukan guna mengetahui komposisi spesies dan diameter setinggi dada (DBH) tiap tegakan mangrove. Rumus allometrik spesies-spesifik digunakan untuk menghitung biomassa mangrove yang kemudian dikonversi menjadi nilai stok karbon di tiap lahan rehabilitasi. Citra Sentinel-2 ditransformasi dengan Normalized Difference Vegetation Index (NDVI), selanjutnya dilakukan analisis regresi antara nilai NDVI dan stok karbon untuk mendapatkan model pendugaan stok karbon menggunakan citra satelit. Terdapat tiga spesies mangrove yang ditemukan, yaitu Rhizophora mucronata, Avicennia alba dan Avicennia marina. Hasil menunjukkan bahwa stok karbon mangrove tahun tanam 2005, 2008, 2011, 2014 dan 2017 secara berturut-turut adalah 80,69 tonC/ha, 95,08 tonC/ha, 104,19 tonC/ha, 175,13 tonC/ha dan 137,35 tonC/ha. Hasil analisis regresi antara nilai NDVI dan stok karbon mangrove menunjukkan koefisien determinasi yang sangat rendah (R2 = 0,06), sehingga model tidak dapat digunakan untuk menduga stok karbon mangrove. Hasil penelitian ini menunjukkan bahwa tidak ada peningkatan stok karbon seiring dengan semakin tua lahan mangrove. Spesies A. marina berkontribusi besar untuk perolehan stok karbon mangrove yang lebih tinggi dibandingkan R. mucronata. Mangrove as blue carbon ecosystem has a significant role in mitigating climate change which existence is threatened by land conversion. Mangrove rehabilitation has been widely done and requires sustainable management by knowing the carbon stock as a call for carbon market. The coastal area of Brebes is one of the regions that has successfully rehabilitated mangrove forest area. This research aims to estimate post-rehabilitation mangrove carbon stock in Kaliwlingi, Brebes based on different planting years, i.e. 2005, 2008, 2011, 2014 dan 2017. A field research was conducted on November 21st – 23rd 2020. The method involved field survey, allometric calculation and Sentinel-2 processing. A field survey was conducted to collect the diameter at breast height (DBH) of each stand and species composition. Species-specific allometric equations were used to calculate mangrove biomass, subsequently converted into carbon stock in each rehabilitated area. Sentinel-2 imagery was transformed using the Normalized Difference Vegetation Index (NDVI). Regression analysis was performed between NDVI value and carbon stock to obtain the estimation model for mangrove carbon stock using satellite imagery. There are three species found, namely Rhizophora mucronata, Avicennia alba and Avicennia marina. The result shows carbon stock in plantation of 2005, 2008, 2011, 2014 and 2017 are 80.69 tonC/ha, 95.08 tonC/ha, 104.19 tonC/ha, 175.13 tonC/ha and 137.35 tonC /ha respectively. Regression analysis of NDVI and carbon stock shows a very poor coefficient of determination (R2 = 0.06), therefore the model is incompatible for estimating carbon stock. In this research, mangrove carbon stock is not increasing with plantation age. A. marina has huge contribution for a higher carbon stock compared to R. mucronata.