摘要
量化分析和定量评价植物群落的持水功能与固碳功能对于系统认识旱区植物群落的水源涵养及碳汇功能具有重要的价值和意义.本文在宁夏六盘山半干旱区的叠叠沟小流域选择了华北落叶松人工林、白桦人工林、沙棘人工灌丛和天然草地等4种典型植物群落,开展了枯落物层和土壤层的持水功能与固碳功能的野外测定与定量对比,采用熵权法(EWM)对植物群落的枯落物层和土壤层的持水能力进行了综合分析,应用通径分析解析了土壤有机碳质量分数与持水性能的关系.结果表明:4种植物群落的枯落物层最大持水量变化范围为3.03~20.55 t·hm^(-2),有效拦蓄量变化范围为2.13~14.58 t·hm^(-2),其中最大的为白桦人工林,约分别是华北落叶松人工林、沙棘人工灌丛、天然草地的1.4、3.0、6.8倍;在4种植物群落的0~100 cm土壤层,最大持水量变化范围为515.0~563.9 mm,毛管持水量变化范围为377.8~423.1 mm,其中华北落叶松人工林土壤持水性能最优;4种植物群落0~100 cm土层的有机碳质量分数均值变化范围为23.89~26.43 g·kg^(-1),其中华北落叶松人工林最高,白桦人工林最小,土壤有机碳质量分数与土壤持水性能(总孔隙度、毛管孔隙度、最大持水量、毛管持水量)呈显著正相关,表明二者有很好的协同关系;对枯落物层和土壤层持水功能的综合评价结果为华北落叶松人工林最高(0.330),白桦人工林次之(0.303),天然草地(0.218)和沙棘人工灌丛(0.148)相对较差.以上结果表明,华北落叶松人工林枯落物层及土壤层的持水和固碳功能要好于其他植物群落,在立地条件较好时应优先恢复.本研究结论可为六盘山半干旱山区森林植被的恢复与多功能优化管理提供科学依据.
Quantitative analysis and evaluation of water-holding and carbon-fixing functions of vegetation communities have great significance to understand water conservation and carbon sequestration of desert vegetation communities.Four typical plant communities(Larix principis-rupprechtii,Betula platyphylla,Hippophae rhamnoides and grassland)in the Diediegou small watershed of semi-arid area in Liupan mountains,Ningxia,China were studied in this work.Field measurement and quantitative comparison of water-holding and carbon-fixing functions of litter layer and soil layer were conducted.Water-holding capacity of litter layer and soil layer of plant communities was analyzed by entropy weight method(EWM).The relationship between soil organic carbon content and holding water capacity was analyzed by path analysis.Maximum water holding capacity of litter layer of these 4 plant communities was found to range from 3.03 to 20.55 t·hm^(-2),effective storage capacity range from 2.13 to 14.58 t·hm^(-2);the largest was found with Betula platyphylla,being 1.4,3.0 and 6.8 times of Larix principis-rupprechtii,Hippophae rhamnoides and grassland,respectively.In the 0-100 cm soil layer of these plant communities,maximum water holding capacity was found to range from 515.0 to 563.9 mm,capillary water holding capacity range from 377.8 to 423.1 mm,with Larix principis-rupprechtii showing the best soil water retention.Mean organic carbon content of 0-100 cm soil layer of these 4 plant communities ranged from 23.89 to 26.43 g·kg^(-1),the highest was found with Larix principisrupprechtii,the lowest Betula platyphylla.Soil organic carbon content was found significantly positively correlated with soil water retention properties(total porosity,capillary porosity,maximum water holding capacity,capillary water holding capacity).The comprehensive evaluation results of water-holding and carbon-fixing functions of litter layer and soil layer of Larix principis-rupprechtii were the highest(0.330),followed by Betula platyphylla(0.303),grassland(0.218)and Hippophae rhamnoides(0.148).The above data suggest that water-holding and carbon-fixing functions of litter layer and soil layer of Larix principis-rupprechtii are better than other plant communities,and should be given priority when site conditions are better.This study will facilitate restoration and multi-functional optimization management of forest vegetation in semi-arid Liupanshan area.
作者
涂立辉
熊伟
王彦辉
于澎涛
韩新生
TU Lihui;XIONG Wei;WANG Yanhui;YU Pengtao;HAN Xinsheng(Institute of Forest Ecological Environment and Nature Conservation,Chinese Academy of Forestry,100091,Beijing,China;Institute of Ecological Conservation and Restoration,Chinese Academy of Forestry,100091,Beijing,China;Institute of Forestry and Grassland Ecology,Ningxia Academy of Agriculture and Forestry Sciences,Ningxia Key Laboratory of Desertification Control and Soil and Water Conservation,Research Center for Ecological Restoration and Multi-Functional Forestry of Ningxia,750002,Yinchuan,Ningxia,China)
出处
《北京师范大学学报（自然科学版）》
CAS
CSCD
北大核心
2023年第3期433-441,共9页
Journal of Beijing Normal University(Natural Science)
基金
中国林业科学研究院中央级公益性科研院所基本科研业务费专项资金资助项目(CAFYBB2021ZW002)
国家自然科学基金委员会区域创新发展联合基金资助项目(U20A2085,U21A2005)
国家自然科学基金国际(地区)合作与交流资助项目(42161144008)
关键词
枯落物
土壤层
持水功能
土壤有机碳
litter
soil layers
holding water capacity
soil organic carbon
