西南林业大学学报
西南林業大學學報
서남임업대학학보
JOURNAL OF SOUTHWEST FORESTRY COLLEGE
2015年
2期
55-62
,共8页
碳储量%碳密度%碳分布%序列高斯协同模拟%多尺度
碳儲量%碳密度%碳分佈%序列高斯協同模擬%多呎度
탄저량%탄밀도%탄분포%서렬고사협동모의%다척도
forest carbon storage%carbon density%carbon distribution%sequential gaussian co-simulation%mutli-scale
以浙江省仙居县为例，基于2008年全县森林资源清查样地数据和2007年2月获取的Landsat TM影像数据，采用序列高斯协同模拟方法，分别在30 m ×30 m和270 m ×270 m空间分辨率水平上模拟森林地上部分碳密度及其分布，并对模拟结果进行对比分析。结果表明：仙居县森林地上碳密度分布具有空间连续变异性，四周为高碳密度有林地集中区，中间大部分为低碳密度无林地集中区，抽样估计研究区域地上森林碳储量为5283789．63 Mg。基于30 m ×30 m分辨率的序列高斯协同模拟结果为5692875．69 Mg，模型确定系数为0．6203；对比270 m ×270 m像元大小基础上估计得到的森林碳储量5030871．79 Mg ，模型确定系数0．2383，小尺度上估计的碳储量总量更多，碳密度分布范围更广，模型精度更高。序列高斯协同模拟考虑了森林碳密度空间分布的差异性，模拟结果接近地面样地估计值，碳密度分布范围合理，能够很好地反映碳分布空间的连续变异性。
以浙江省仙居縣為例，基于2008年全縣森林資源清查樣地數據和2007年2月穫取的Landsat TM影像數據，採用序列高斯協同模擬方法，分彆在30 m ×30 m和270 m ×270 m空間分辨率水平上模擬森林地上部分碳密度及其分佈，併對模擬結果進行對比分析。結果錶明：仙居縣森林地上碳密度分佈具有空間連續變異性，四週為高碳密度有林地集中區，中間大部分為低碳密度無林地集中區，抽樣估計研究區域地上森林碳儲量為5283789．63 Mg。基于30 m ×30 m分辨率的序列高斯協同模擬結果為5692875．69 Mg，模型確定繫數為0．6203；對比270 m ×270 m像元大小基礎上估計得到的森林碳儲量5030871．79 Mg ，模型確定繫數0．2383，小呎度上估計的碳儲量總量更多，碳密度分佈範圍更廣，模型精度更高。序列高斯協同模擬攷慮瞭森林碳密度空間分佈的差異性，模擬結果接近地麵樣地估計值，碳密度分佈範圍閤理，能夠很好地反映碳分佈空間的連續變異性。
이절강성선거현위례，기우2008년전현삼림자원청사양지수거화2007년2월획취적Landsat TM영상수거，채용서렬고사협동모의방법，분별재30 m ×30 m화270 m ×270 m공간분변솔수평상모의삼임지상부분탄밀도급기분포，병대모의결과진행대비분석。결과표명：선거현삼임지상탄밀도분포구유공간련속변이성，사주위고탄밀도유임지집중구，중간대부분위저탄밀도무임지집중구，추양고계연구구역지상삼림탄저량위5283789．63 Mg。기우30 m ×30 m분변솔적서렬고사협동모의결과위5692875．69 Mg，모형학정계수위0．6203；대비270 m ×270 m상원대소기출상고계득도적삼림탄저량5030871．79 Mg ，모형학정계수0．2383，소척도상고계적탄저량총량경다，탄밀도분포범위경엄，모형정도경고。서렬고사협동모의고필료삼림탄밀도공간분포적차이성，모의결과접근지면양지고계치，탄밀도분포범위합리，능구흔호지반영탄분포공간적련속변이성。
Based on Forest Inventory (plot)data in Xianju County,Zhejiang in 2008 and the Landsat TM im-age data collected in the same region in 2007 ,the above-ground forest carbon density and its distributions at 30 m ×30 mand 270 m ×270 m resolution was estimated and the results analyzed comparatively by applying se-quential gaussian co-simulation The results showed that the above-ground forest carbon density of Xianju County was continuously distributed,which was surrounded by high carbon density of forest land and the intermediate region was filled with the majority of low carbon density of non-forest land.The total carbon is 5 283 789.63Mg based on the estimation by rardomly sampling method.With the sequential gaussian co-simulation,the sum of the carbon is 5 692 875 .69 Mg and the square R of model is 0. 620 3 in 30 m ×30 m resolution.Comparing with the result in 270 m ×270 mresolution,the former total carbon is larger,the range of distribution is wider and the model′s pre-cision is higher.The result showed that sequential gaussian co-simulation which considers the spatial distribution of carbon density is closer to the estimation from the plot data,the carbon density distribution is more reasonable and
<br> the ability to represent the continuous changes of carbon distribution is better.
