林业科学 ›› 2021, Vol. 57 ›› Issue (12): 1-12.doi: 10.11707/j.1001-7488.20211201
赵亚楠1,赵亚峰1,王红梅1,2,*,马彦平1,李志丽1
收稿日期:
2020-05-11
出版日期:
2021-12-25
发布日期:
2022-01-26
通讯作者:
王红梅
基金资助:
Yanan Zhao1,Yafeng Zhao1,Hongmei Wang1,2,*,Yanping Ma1,Zhili Li1
Received:
2020-05-11
Online:
2021-12-25
Published:
2022-01-26
Contact:
Hongmei Wang
摘要:
目的: 研究宁夏东部荒漠草原灌丛转变土壤含水量和植被地上生物量的空间特征,探求荒漠草原植被承载的适宜土壤水分生态阈值,以期为优化荒漠草原植被恢复模式提供理论依据。方法: 利用GIS和地统计学方法,对该地区43个典型的荒漠草原-灌丛镶嵌体区域分别进行草地和相邻灌丛0~200 cm土层土壤含水量及植被地上生物量的空间异质性分析。结果: 经典统计分析表明:0~200 cm土层的平均土壤含水量表现为草地(6.23%)大于灌丛(5.47%),在80~200 cm土层尤为明显,草地和灌丛土壤含水量分别为1.37%~25.36%和1.5%~19.58%;草地和灌丛的0~200 cm土层土壤含水量变异系数为28.94%~62.30%,均属中等变异,且灌丛土壤含水量的变异系数较高;草地和灌丛地上生物量分别为0.06和0.56 kg·m-2,两者的变异系数均为中等变异。地统计分析表明:0~200 cm土层土壤含水量的结构方差比[C/(C0+C)]表现为草地(0.75)大于灌丛(0.64),且均随土层加深而逐渐减小;土壤含水量的变程(A0)表现为灌丛(45.84 km)显著大于草地(18.56 km)(P < 0.05),两者在120~200 cm土层的最佳半变异函数模型均为纯块金效应模型;植被地上生物量的结构方差比表现为灌丛(0.76)大于草地(0.37),变程表现为草地(43.91 km)显著大于灌丛(12.77 km)(P < 0.05)。基于植被转变地上生物量和土壤含水量现状分析,荒漠草原0~200 cm土层土壤含水量响应阈值为8.11%~14.19%。结论: 荒漠草原灌丛转变显著增加了地上植被生物量,使其在景观尺度上的空间异质性增强,并加速了深层土壤水分的利用消耗,降低了土壤含水量及其在景观尺度上的异质性,因调查年份及前期数年降雨偏多,草地、灌丛的较深层土壤含水量均呈纯块金效应。
中图分类号:
赵亚楠,赵亚峰,王红梅,马彦平,李志丽. 荒漠草原灌丛转变土壤水分与地上生物量空间异质性及阈值响应[J]. 林业科学, 2021, 57(12): 1-12.
Yanan Zhao,Yafeng Zhao,Hongmei Wang,Yanping Ma,Zhili Li. Response of Spatial Heterogeneity and Threshold Value for Soil Water and Aboveground Biomass of Desert Grassland-Shrubland Anthropogenic Transition in Desert Steppe of Ningxia, China[J]. Scientia Silvae Sinicae, 2021, 57(12): 1-12.
表1
草地、灌丛土壤含水量描述性统计及正态分布检验①"
样地类型 Sample plot type | 土层 Soil layer/ cm | 最小值 Minimum (%) | 最大值 Maximum (%) | 平均值 Mean (%) | SD (%) | CV (%) | 峰度 Skew | 偏度 Kurtosis |
草地 Grassland | 0~20 | 2.29 | 9.50 | 5.20 | 1.74 | 33.48 | 0.58 | -0.10 |
20~40 | 1.37 | 8.85 | 4.45 | 1.77 | 39.78 | 0.63 | -0.06 | |
40~60* | 1.46 | 10.73 | 4.47 | 2.04 | 45.77 | 1.23 | 1.37 | |
60~80* | 1.93 | 11.98 | 5.08 | 2.58 | 50.74 | 1.06 | 0.59 | |
80~100* | 1.93 | 13.48 | 5.52 | 2.88 | 52.18 | 1.20 | 0.94 | |
100~120* | 2.40 | 17.33 | 6.32 | 3.31 | 52.44 | 1.45 | 2.30 | |
120~140* | 2.53 | 16.50 | 7.23 | 3.76 | 51.98 | 1.02 | 0.03 | |
140~160* | 2.50 | 17.29 | 7.66 | 3.78 | 49.38 | 0.82 | -0.07 | |
160~180* | 2.33 | 23.98 | 8.39 | 4.74 | 56.45 | 1.46 | 2.15 | |
180~200* | 2.60 | 25.36 | 7.98 | 4.63 | 58.01 | 1.85 | 4.19 | |
灌丛 Shrubland | 0~20* | 2.51 | 9.08 | 4.69 | 1.36 | 28.94 | 0.78 | 1.39 |
20~40* | 1.63 | 16.73 | 4.50 | 2.40 | 53.32 | 3.32 | 15.88 | |
40~60* | 1.43 | 12.61 | 4.39 | 2.34 | 53.41 | 1.59 | 2.99 | |
60~80* | 1.61 | 8.12 | 4.16 | 1.62 | 38.90 | 0.58 | -0.22 | |
80~100* | 1.51 | 12.96 | 4.94 | 2.74 | 55.44 | 1.21 | 0.88 | |
100~120* | 1.50 | 17.33 | 5.61 | 3.50 | 62.30 | 1.67 | 2.53 | |
120~140* | 1.98 | 19.58 | 6.52 | 3.65 | 55.96 | 1.47 | 2.72 | |
140~160* | 2.19 | 19.19 | 6.65 | 3.88 | 58.35 | 1.19 | 1.24 | |
160~180* | 2.24 | 17.09 | 6.58 | 3.68 | 55.97 | 1.17 | 0.57 | |
180~200* | 1.70 | 18.53 | 6.65 | 3.78 | 56.91 | 1.17 | 1.24 |
表2
土壤含水量半变异函数理论模型及相关统计参数"
样地类型 Sample plot type | 土层 Soil layer/cm | 块金值 Nugget C0 | 基台值 Sill C0+C | 结构方差比 Structural variance ratio C0+C) | 变程Range A0/km | 最优模型 Best model | R2 | 残差平方和 Residual sum of squares(RSS) |
草地 Grassland | 0~20 | 0.000 0 | 0.000 3 | 1.00 | 5.22 | 高斯模型 Gaussian model | 0.72 | 1.64E-08 |
20~40 | 0.000 1 | 0.000 3 | 0.61 | 8.66 | 高斯模型 Gaussian model | 0.49 | 3.12E-08 | |
40~60 | 0.000 1 | 0.185 2 | 1.00 | 7.66 | 高斯模型 Gaussian model | 0.92 | 2.88E-03 | |
60~80 | 0.050 7 | 0.243 4 | 0.79 | 16.65 | 球状模型 Spherical model | 0.61 | 1.58E-02 | |
80~100 | 0.053 0 | 0.390 0 | 0.86 | 31.64 | 指数模型 Exponential model | 0.81 | 1.44E-02 | |
100~120 | 0.194 9 | 0.262 7 | 0.26 | 41.55 | 线性模型 Linear model | 0.50 | 1.24E-02 | |
120~140 | — | — | — | — | 纯块金效应 Pure nugget effect | — | — | |
140~160 | — | — | — | — | 纯块金效应 Pure nugget effect | — | — | |
160~180 | — | — | — | — | 纯块金效应 Pure nugget effect | — | — | |
180~200 | — | — | — | — | 纯块金效应 Pure nugget effect | — | — | |
灌丛 Shrubland | 0~20 | 0.043 0 | 0.503 0 | 0.91 | 107.45 | 高斯模型 Gaussian model | 0.86 | 1.02E-03 |
20~40 | 0.000 1 | 0.188 2 | 1.00 | 6.77 | 指数模型Exponential model | 0.71 | 8.14E-03 | |
40~60 | 0.000 1 | 0.251 2 | 1.00 | 4.00 | 高斯模型 Gaussian model | 0.56 | 2.32E-02 | |
60~80 | 0.000 2 | 0.000 4 | 0.53 | 69.04 | 指数模型Exponential model | 0.27 | 3.09E-08 | |
80~100 | 0.182 4 | 0.263 5 | 0.31 | 43.86 | 线性模型 Linear model | 0.26 | 1.60E-02 | |
100~120 | 0.273 0 | 0.310 9 | 0.12 | 43.89 | 线性模型 Linear model | 0.03 | 4.95E-02 | |
120~140 | — | — | — | — | 纯块金效应 Pure nugget effect | — | — | |
140~160 | — | — | — | — | 纯块金效应 Pure nugget effect | — | — | |
160~180 | — | — | — | — | 纯块金效应 Pure nugget effect | — | — | |
180~200 | — | — | — | — | 纯块金效应 Pure nugget effect | — | — |
表4
地上生物量半变异函数理论模型及相关统计参数"
样地类型 Sample plot type | 块金值 Nugget C0 | 基台值 SillC0+C | 结构方差比 Structural variance ratio C0+C) | 变程 RangeA0/km | 最优模型 Best model | R2 | 残差平方和 Residual sum of squares (RSS) |
草地Grassland | 0. 201 7 | 0.32 | 0.37 | 43.91 | 线性模型Linear model | 0.53 | 2.42E-02 |
灌丛Shrubland | 0.145 0 | 0.60 | 0.76 | 12.77 | 球状模型Spherical model | 0.64 | 1.35E-01 |
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