{"title":"沿海拔梯度的干旱型常绿山地森林土壤碳储量评价:对减缓气候变化的启示","authors":"Yitayal Tebeje Workie","doi":"10.11648/J.IJRSE.20211001.11","DOIUrl":null,"url":null,"abstract":"This study was conducted in Sekelemariam Dry Evergreen Montane Forest which is situated within 37° 27' and 37° 30' east, and 10° 34' and 10° 36' north, near Dembecha Town in west Gojam Zone, North Western Ethiopia. It is characterized by steeply sloped areas with huge Rocky Mountains extended throughout the middle parts of the forest. The aim of this study was to estimate the soil carbon stock potential of the forest. A systematic transect sampling technique was adopted in this study and following these transects plots of 1mx1m (1m2) data was taken from the field. The carbon stock density of soil organic carbon was calculated from the volume and bulk density of the soil as V = h× r2. The data analysis was conducted using Microsoft excel sheet used as platform in carbon calculations, and SPSS software version 20 to determine the impact of altitude gradient and slope factors on soil carbon stock potential and to compare the relationship between dependent and independent variables. The carbon stock of the SOC showed increasing trend with increasing elevation. In contrast to the elevation, the forest soil carbon stock decreases as increasing slope gradient. Soil laboratory analysis was conducted in Holeta Agricultural Research center to determine the soil organic carbon density and was estimated to be101.56 ± 3.66 t C ha-1. All in all, this study gives estimation of the soil carbon stock in Sekelemariam State Forest.","PeriodicalId":14110,"journal":{"name":"International Journal of Literature and Arts","volume":"88 1","pages":"1"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Assessment of Soil Carbon Stock Status of Sekelemariam Dry Evergreen Montane Forest Along Altitudinal Gradient: Implication for Climate Change Mitigation\",\"authors\":\"Yitayal Tebeje Workie\",\"doi\":\"10.11648/J.IJRSE.20211001.11\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study was conducted in Sekelemariam Dry Evergreen Montane Forest which is situated within 37° 27' and 37° 30' east, and 10° 34' and 10° 36' north, near Dembecha Town in west Gojam Zone, North Western Ethiopia. It is characterized by steeply sloped areas with huge Rocky Mountains extended throughout the middle parts of the forest. The aim of this study was to estimate the soil carbon stock potential of the forest. A systematic transect sampling technique was adopted in this study and following these transects plots of 1mx1m (1m2) data was taken from the field. The carbon stock density of soil organic carbon was calculated from the volume and bulk density of the soil as V = h× r2. The data analysis was conducted using Microsoft excel sheet used as platform in carbon calculations, and SPSS software version 20 to determine the impact of altitude gradient and slope factors on soil carbon stock potential and to compare the relationship between dependent and independent variables. The carbon stock of the SOC showed increasing trend with increasing elevation. In contrast to the elevation, the forest soil carbon stock decreases as increasing slope gradient. Soil laboratory analysis was conducted in Holeta Agricultural Research center to determine the soil organic carbon density and was estimated to be101.56 ± 3.66 t C ha-1. All in all, this study gives estimation of the soil carbon stock in Sekelemariam State Forest.\",\"PeriodicalId\":14110,\"journal\":{\"name\":\"International Journal of Literature and Arts\",\"volume\":\"88 1\",\"pages\":\"1\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-01-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Literature and Arts\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.11648/J.IJRSE.20211001.11\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Literature and Arts","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.11648/J.IJRSE.20211001.11","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
本研究在Sekelemariam干旱常绿山地森林进行,该森林位于埃塞俄比亚西北部Gojam区西部Dembecha镇附近,东经37°27′和37°30′,北纬10°34′和10°36′。它的特点是陡峭的斜坡地区,巨大的落基山脉延伸到整个森林的中部。本研究的目的是估算森林的土壤碳储量潜力。本研究采用了系统的样条采样技术,并按照这些样条从田间采集了1mx1m (1m2)的数据。土壤有机碳储量密度由土壤体积和容重计算为V = hxr2。数据分析采用Microsoft excel表格作为碳计算平台,利用SPSS软件20版确定海拔梯度和坡度因子对土壤碳储量潜力的影响,比较因变量和自变量之间的关系。土壤有机碳储量随海拔升高呈增加趋势。相对于海拔高度,森林土壤碳储量随着坡度的增加而减少。在Holeta农业研究中心进行土壤实验室分析,确定土壤有机碳密度为101.56±3.66 t C ha-1。总而言之,本研究对Sekelemariam国家森林的土壤碳储量进行了估算。
Assessment of Soil Carbon Stock Status of Sekelemariam Dry Evergreen Montane Forest Along Altitudinal Gradient: Implication for Climate Change Mitigation
This study was conducted in Sekelemariam Dry Evergreen Montane Forest which is situated within 37° 27' and 37° 30' east, and 10° 34' and 10° 36' north, near Dembecha Town in west Gojam Zone, North Western Ethiopia. It is characterized by steeply sloped areas with huge Rocky Mountains extended throughout the middle parts of the forest. The aim of this study was to estimate the soil carbon stock potential of the forest. A systematic transect sampling technique was adopted in this study and following these transects plots of 1mx1m (1m2) data was taken from the field. The carbon stock density of soil organic carbon was calculated from the volume and bulk density of the soil as V = h× r2. The data analysis was conducted using Microsoft excel sheet used as platform in carbon calculations, and SPSS software version 20 to determine the impact of altitude gradient and slope factors on soil carbon stock potential and to compare the relationship between dependent and independent variables. The carbon stock of the SOC showed increasing trend with increasing elevation. In contrast to the elevation, the forest soil carbon stock decreases as increasing slope gradient. Soil laboratory analysis was conducted in Holeta Agricultural Research center to determine the soil organic carbon density and was estimated to be101.56 ± 3.66 t C ha-1. All in all, this study gives estimation of the soil carbon stock in Sekelemariam State Forest.