CAJ | 학술논문

基于对华北落叶松(Larix principis-rupprechtii)人工林样地3个取样尺度(4、2、1 m)土壤呼吸(Rs )及其影响因子的观测,运用传统和地统计学的方法分析了 Rs 的空间变异性及其与影响因子之间的内在联系.传统统计分析表明： Rs 及其它相关因子的空间变异均属于中等变异； Rs 与10 cm、15 cm 深度的土壤温度(t10、 t15)和全氮(N)呈极显著正相关(P ﹤0.01),与凋落物含水量(Lm )呈显著正相关(P ﹤0.05),与碳/氮比(C/ N)呈显著负相关(P ﹤0.01),与5 cm 深度的土壤温度(t5)、土壤水分(Ws )、凋落物量(Lw )和全碳(C)相关性不显著(P ﹥0.05)；多元逐步回归分析表明： Lm、 t10、 N 和 Ws这4个因子能解释土壤呼吸空间变化的36％.地统计学分析表明： Rs 具有中等程度的空间自相关性,随机部分引起的空间异质性占39.5％,结构因素占60.5％,气候、地形、土壤等结构因素起着主导作用；不同土壤指标的变程不相同,Rs 和 t10的变程差异不大,在25 m 左右；土壤各指标的分维数大小依次为： Lw (1.95)＝ C/ N 比(1.95)﹥ N(1.91)﹥ C(1.89)﹥ Rs (1.78)﹥ Lm (1.77)﹥ Ws (1.69)﹥ t10(1.42). Rs 的空间分布模式与 t10、 Lm、 C 和 N 的空间分布模式较为一致,而与 Ws、 C/ N 比的空间分布模式不同；在同一置信水平和估计精度下,不同土壤指标的必要采样数量不相同,取决于该指标的空间变异程度.
기우대화북락협송(Larix principis-rupprechtii)인공림양지3개취양척도(4、2、1 m)토양호흡(Rs )급기영향인자적관측,운용전통화지통계학적방법분석료 Rs 적공간변이성급기여영향인자지간적내재련계.전통통계분석표명： Rs 급기타상관인자적공간변이균속우중등변이； Rs 여10 cm、15 cm 심도적토양온도(t10、 t15)화전담(N)정겁현저정상관(P ﹤0.01),여조락물함수량(Lm )정현저정상관(P ﹤0.05),여탄/담비(C/ N)정현저부상관(P ﹤0.01),여5 cm 심도적토양온도(t5)、토양수분(Ws )、조락물량(Lw )화전탄(C)상관성불현저(P ﹥0.05)；다원축보회귀분석표명： Lm、 t10、 N 화 Ws저4개인자능해석토양호흡공간변화적36％.지통계학분석표명： Rs 구유중등정도적공간자상관성,수궤부분인기적공간이질성점39.5％,결구인소점60.5％,기후、지형、토양등결구인소기착주도작용；불동토양지표적변정불상동,Rs 화 t10적변정차이불대,재25 m 좌우；토양각지표적분유수대소의차위： Lw (1.95)＝ C/ N 비(1.95)﹥ N(1.91)﹥ C(1.89)﹥ Rs (1.78)﹥ Lm (1.77)﹥ Ws (1.69)﹥ t10(1.42). Rs 적공간분포모식여 t10、 Lm、 C 화 N 적공간분포모식교위일치,이여 Ws、 C/ N 비적공간분포모식불동；재동일치신수평화고계정도하,불동토양지표적필요채양수량불상동,취결우해지표적공간변이정도.
Based on the data from a planted larch forest in Panquangou Natural Reserve of Shanxi Province, at three sampling scales (4, 2, and 1 m, respectively), soil respiration (Rs ) and its affecting factors including soil temperature at 5 cm (t5 ), 10 cm (t10 ), and 15 cm (t15 ) depths, soil water content ( Ws ), litter mass (Lw ), litter moisture ( Lm ), soil total carbon (C), and soil total nitrogen (N) were determined. The spatial heterogeneities of Rs and the environmental factors were further analyzed and their intrinsic correlations were established. The results of traditional statistics showed that the spatial variations of Rs and the all measured factors were in the middle range; Rs were highly significantly positively correlated with t10 , t15 , and N (P ﹤ 0. 01); significantly positively correlated with Lm (P ﹤ 0. 05); highly significantly negatively correlated with C/ N ratio ( P ﹤ 0. 01); and not significantly correlated with t5 , Ws , Lw and C ( P ﹥ 0. 05). Multiple stepwise regression analysis indicated that the four factors of Lm , t10 , N, and Ws together accounted for 36% of Rs heterogeneity. The results of geo-statistical analysis demonstrated that Rs was in a medium spatial autocorrelation; random and structural factors accounted for 39. 5% and 60. 5% of Rs heterogeneity, respectively. And the factors such as climate, landform, and soil played a leading role. The results also illustrated that the ranges for soil factors were different and the range for both Rs and t10 was 25 meters. The fractal dimension of the soil index was in the following order: Lw and C/ N ratio (1. 95)﹥ N (1. 91) ﹥ C (1. 89) ﹥ Rs (1. 78) ﹥ Lm (1. 77) ﹥ Ws (1. 69) ﹥ t10 (1. 42). The spatial distribution of Rs was in consistent agreement with those of t10 , Lm , C, and N; but different with those of Ws and C/ N ratio. With a fixed cofidence level and certain estimated accuracy, the required sampling number of each item differed, corresponding to its spatial variation degree.