南京林业大学学报(自然科学版)
南京林業大學學報(自然科學版)
남경임업대학학보(자연과학판)
JOURNAL OF NANJING FORESTRY UNIVERSITY(NATURAL SCIENCE EDITION)
2014年
5期
97-101
,共5页
陶吉兴%傅伟军%姜培坤%杜群%徐军
陶吉興%傅偉軍%薑培坤%杜群%徐軍
도길흥%부위군%강배곤%두군%서군
土壤有机碳%Moran's I%地统计学%浙江
土壤有機碳%Moran's I%地統計學%浙江
토양유궤탄%Moran's I%지통계학%절강
soil organic carbon%Moran's I%geostatistics%Zhejiang province
以浙江省森林土壤有机碳为研究对象,在省域林地范围内利用网格布点采样,共布设840个土壤剖面样点,通过对数转化对土壤有机碳进行正态分布性检验。采用Moran?s I与地统计学结合的GIS技术对森林土壤有机碳的空间变异性及分布格局进行了系统研究。全局Moran?s I表明森林土壤有机碳具有极显著的空间自相关性,局部Moran?s I揭示千岛湖周边地区、丽水西部等地是森林土壤有机碳高值集聚区,而浙江中部地区是低值集聚区。应用地统计学分析方法进行实验变异函数计算和最适合模型的拟合,得出森林土壤最好的理论模型为指数模型,随后用普通克里格估值方法绘制了森林土壤有机碳的空间分布图,测算表明土地经营管理方式改变、人为改变土地类型、局域性种植经济林等非区域性因素对森林土壤有机碳的空间变异影响显著。
以浙江省森林土壤有機碳為研究對象,在省域林地範圍內利用網格佈點採樣,共佈設840箇土壤剖麵樣點,通過對數轉化對土壤有機碳進行正態分佈性檢驗。採用Moran?s I與地統計學結閤的GIS技術對森林土壤有機碳的空間變異性及分佈格跼進行瞭繫統研究。全跼Moran?s I錶明森林土壤有機碳具有極顯著的空間自相關性,跼部Moran?s I揭示韆島湖週邊地區、麗水西部等地是森林土壤有機碳高值集聚區,而浙江中部地區是低值集聚區。應用地統計學分析方法進行實驗變異函數計算和最適閤模型的擬閤,得齣森林土壤最好的理論模型為指數模型,隨後用普通剋裏格估值方法繪製瞭森林土壤有機碳的空間分佈圖,測算錶明土地經營管理方式改變、人為改變土地類型、跼域性種植經濟林等非區域性因素對森林土壤有機碳的空間變異影響顯著。
이절강성삼림토양유궤탄위연구대상,재성역임지범위내이용망격포점채양,공포설840개토양부면양점,통과대수전화대토양유궤탄진행정태분포성검험。채용Moran?s I여지통계학결합적GIS기술대삼림토양유궤탄적공간변이성급분포격국진행료계통연구。전국Moran?s I표명삼림토양유궤탄구유겁현저적공간자상관성,국부Moran?s I게시천도호주변지구、려수서부등지시삼림토양유궤탄고치집취구,이절강중부지구시저치집취구。응용지통계학분석방법진행실험변이함수계산화최괄합모형적의합,득출삼림토양최호적이론모형위지수모형,수후용보통극리격고치방법회제료삼림토양유궤탄적공간분포도,측산표명토지경영관리방식개변、인위개변토지류형、국역성충식경제림등비구역성인소대삼림토양유궤탄적공간변이영향현저。
In ordor to study the distribution of forest soil organic carbon ( SOC) , a total of 840 soil sampling sites were laid based on a grid of 4 km×6 km, using portable GPS. Normality test was applied for log-transformed data of forest SOC data. Moran?s I, geostatistics and GIS techniques were used to study the spatial variation and spatial patterns of SOC. Extremely significant spatial auto-correlation of forest SOC was found based on the global Moran?s I value. Local Moran?s I index revealed that high SOC values were located around the area of Qiandao Lake, the west part of Lishui cit-y, while low SOC values were located in the middle part of Zhejiang province. The experimental variogram of SOC was calculated and fitted by exponential model. Further ordinary Kriging was applied to interpolate the SOC in forests of Zhe-jiang province. The spatial patterns of SOC were strongly related to human being activity such as planting economic for-est, changing soil management and so on.