不同培肥措施下土壤CO2释放及其动力学研究

实验室恒温密闭培养法研究了 4种培肥措施连续培肥 23年后农田土壤的CO2释放状况及其动力学特征。结果表明 ,含水量 12%至 24%范围内 ,土壤CO2释放过程完全可以用一级反应动力学方程 y =A0(1-e-kt)进行定量描述 (r2=0.9812～0.995 9,P 0.01) ;土壤CO2释放量和潜在可释放C量A0 随含水量增加呈线性增加 (r2=0.9728～0.9987,P0.01) ,速率常数k则随含水量增加呈线性降低 (r2=0.9356～0.9939,P0.01)。不同培肥措施明显影响土壤CO2释放状况及其动力学特征参数 ;NP化肥和厩肥 +NP化肥 2种培肥措施较不施肥对照明显增加了土壤CO2释放量、潜在可释放C量A0和速率常数k ;秸秆 +NP化肥培肥措施较不施肥对照显著增加了土壤CO2释放量、潜在可释放C量A0,但却显著降低了释放速率常数k ;有机无机肥料配合措施 (秸秆 +NP、厩肥 +NP)与单施NP化肥措施比较 ,明显降低了释放速率常数k。     

阿拉善流动沙漠区沙层CO2浓度与昼夜变化规律研究

利用红外CO2监测仪,对全球最高大的巴丹吉林诺尔图湖东大沙山、沙坡头流动沙丘和民勤流动沙丘进行了19个钻孔的CO2浓度昼夜观测。结果表明,阿拉善流动沙漠区空气中CO2浓度较1 m、2 m、3 m、4 m、5 m沙层中CO2浓度均低,表明在植物极稀少的流动沙漠区温暖季节会向空气中释放CO2,是大气CO2的来源区。沙层不仅白天向空气释放CO2,夜间也在释放CO2。在极端干旱的阿拉善流动沙漠区沙层2 m深处CO2浓度一般较1 m、3 m、4 m、5 m的大,但也有个别例外。流动沙漠区沙层CO2浓度的昼夜变化也具有明显的规律性,各个深度沙层CO2浓度从早8时至次日7时均呈现由低到高再到低的变化规律。沙层CO2浓度与昼夜温度变化呈显著正相关关系。在极端干旱的阿拉善流动沙漠区水分含量较高的沙层CO2浓度明显高,表明沙层含水量高低是决定沙层CO2浓度水平的主要因素。     

黄土区退耕草地合理放牧可减少土壤CO2排放和土壤侵蚀

【目的】在退耕草地实施合理放牧,有助于减少土壤CO2排放、 减缓土壤侵蚀。为验证此假设,本研究选择黄土高原渭北旱原坡地,建立退耕草地放牧、 退耕草地不放牧和传统农业耕作三种处理的对比试验小区,定量研究了退耕草地合理放牧相对于退耕草地在减少土壤CO2排放和土壤侵蚀的作用及其影响因素,为探寻在我国西部退耕还草区实施畜牧业生产与环境保护的协调发展模式提供科学依据。【方法】在建立的退耕草地放牧、 退耕草地不放牧和传统农业耕作3种处理的试验小区,利用LI-8100 碳通量自动测量仪原位监测植物生长期(4~8月)和放牧前后土壤CO2排放速率的变化,同时利用时域反射仪(TDR)测定表层0—10 cm土壤含水量,用地温表测定土壤表层2 cm和5 cm的温度。利用环境放射性核素 7Be示踪技术监测较大降雨事件引起的土壤侵蚀速率,同时取样测定侵蚀区土壤有机碳含量,比较不同处理小区侵蚀导致的土壤有机碳流失量。【结果】观测期间,3种处理CO2平均排放速率大小顺序为退耕草地[3.69±0.39 μmol/(m2·s)]退耕草地放牧[3.00±0.44 μmol/(m2·s)]传统农耕地[1.99±0.22 μmol/(m2·s)],坡耕地退耕还草后土壤CO2排放增加了85%,而合理放牧使退耕草地土壤CO2排放量减少了19%。放牧后退耕草地土壤CO2排放速率平均减少了11%,减少值在2% ~ 41%之间。观测期内,退耕草地放牧后土壤侵蚀速率比农耕地和退耕草地分别减少了93% 和77%。坡耕地退耕还草后土壤CO2排放增加主要由于草被植物引起土壤有机碳储量增加和土壤侵蚀强度减小,放牧后退耕草地土壤CO2排放减少主要与动物踩踏引起土壤容重明显增加及草类植被地上部分向土壤中输入的有机碳的减少有关。水分、 温度影响因子无法解释3种处理间土壤CO2排放差异。【结论】合理放牧不仅能显著减少退耕草地土壤CO2排放,而且可以有效控制退耕草地土壤和有机碳侵蚀流失。放牧期间动物的踩踏作用引起草地土壤容重显著增加是退耕草地土壤CO2排放量和土壤侵蚀速率减少的主要原因。本研究结果揭示,在我国黄土高原和类似的退耕还草地区实施合理放牧既可以促进当地畜牧业生产,又能控制土壤侵蚀和减少CO2的排放,是一种值得探究的草地可持续发展管理模式。     

贡嘎山东坡峨眉冷杉林区土壤CO2排放

在植物生长季对贡嘎山东坡峨眉冷杉林区三种不同类型土壤排放CO2过程进行了连续观测,三种类型土壤CO2排放存在着显著差异,峨眉冷杉滨替林采伐迹地土壤呼吸强度最高,达5．89μmol/m^2sCO2,在各月份中高低依次为9月＞8月＞6月＞7月＞5月＞10月＞11月;峨眉冷杉林土壤呼吸强度次之,为5．76μmol/m^2sCO2在各月份中高低依次为8月＞7月＞9月＞6月＞5月＞10月＞11月;峨眉冷杉演要替林土壤呼吸强度最低,为3．26μmol/m^2sCO2在各月份中高低依次为5月＞7月＞8月＞6月＞9月＞10月＞11月,观测的各种温度指标对土壤CO2排放有明显的影响,分析表明,近地表气温对峨眉冷杉林采伐迹地和演替林土壤CO2排放影响最大,10cm和5cm深地漫地峨眉冷杉土壤CO2排放影响最大,根据观测的土壤品种月平均值计算出土壤CO2排放的通量估计值,峨眉冷杉林采伐迹地土壤CO2排放为223．91kg/hm^2d,峨眉冷杉林土壤排放为218．48kg/hm^2d,峨眉冷杉演替林土壤CO2排放为123．76kg/hm^2d.     

典型岩溶区不同土地利用类型土壤CO2浓度时空变化特征及影响因素分析

为揭示典型岩溶地区不同用地类型下土壤CO₂的时空变化特征及其影响因素,于2018年1月 ~ 2019年8月对白云岩分布的贵州绥阳双河洞地区6种典型用地的5、20、40和60 cm深度土壤CO₂浓度进行了为期一年的监测、采样和室内实验。并运用数理统计分析方法对各指标进行综合分析,进一步探究影响土壤CO₂时空变化的主要影响因子。结果表明:不同用地类型下土壤CO₂各深度平均浓度均表现出明显的夏秋高、冬春低的季节性变化特征,年平均浓度最高出现在10月,浓度值为23276 ppm,最低在1月,浓度值为6602 ppm;不同用地类型下土壤CO₂浓度表现为旱地（19967 ppm） > 灌草地（17098 ppm） > 灌丛地（15054 ppm） > 有林地（11494 ppm） > 退耕还林地（10529 ppm） > 撂荒地（6147 ppm）,且除有林地土壤CO₂随着深度加深,表现出先减小后增加的特征外,其余五种用地类型下土壤CO₂均表现出随土层深度增加而增加的趋势;土壤温度、土壤含水量、有机碳含量、孔隙度与土壤CO₂浓度均成正相关关系,相关系数分别为0.406、0.252、0.382、0.703。相关性分析表明土壤温度、土壤孔隙度对土壤中CO₂的产生和保存具有显著影响。     

间伐对杉木林土壤CO2通量的影响

Forest management is expected to influence soil CO₂ efflux (FCO₂) as a result of changes in microenvironmental conditions, soil microclimate, and root dynamics. Soil FCO₂ rate was measured during the growing season of 2006 in both thinning and non-thinning locations within stands ranging from 0 to 8 years after the most recent thinning in Chinese fir (Cunninghamia lanceolata (Lamb.) Hook) plantations in Huitong Ecosystem Research Station, Hunan, China. Soil temperature and moisture were also measured to examine relationships between FCO₂ and soil properties. Forest thinning resulted in huge changes in FCO₂ that varied with time since cutting. Immediately following harvest (year 0) FCO₂ in thinning area increased by about 30%, declined to 20%-27% below pre-cutting levels during years 4-6, and recovered to pre-cutting levels at 8 years post-cutting. A similar temporal pattern, but with smaller changes, was found in non-thinning locations. The initial increase in FCO₂ could be attributed to a combination of root decay, soil disturbance, and increased soil temperature in gaps, while the subsequent decrease and recovery to the death and gradual regrowth of active roots. Strong effects of soil temperature and soil water content on FCO₂ were found. Forest thinning mainly influenced FCO₂ through changes in tree root respiration, and the net result was a decrease in integrated FCO₂ flux through the entire felling cycle.     

室内恒温条件下稻田土壤中菌渣的分解过程及CO2释放特征

菌渣是栽培食用菌后的下脚料,可作为有机肥再利用。本文通过实验室条件下培养不同比例的菌渣和稻田土壤混合物[不施用菌渣(TS),土壤与菌渣质量比为10∶1(SM1)、5∶1(SM2)和2∶1(SM3),全部菌渣(TM)],研究不同处理有机碳和全氮的变化,探讨菌渣在稻田土壤中的分解过程,并分析CO_2释放特征,为菌渣合理利用提供参考。结果表明,在相同培养时间,添加不同比例菌渣处理有机碳和氮含量均比TS处理高,其中TM处理的有机碳和全氮分别比TS处理提高了10.7倍和11.0倍。有机碳、氮含量的提高量主要依赖于菌渣的添加量。总体来说,各处理随培养时间的延长,由于碳氮的分解,有机碳、氮均有下降趋势;在35 d后TM处理有机碳氮下降较快。添加菌渣越多,有机碳残留率也越大。在培养63 d后,菌渣有机碳(YC)和氮(YN)的分解残留率与菌渣添加量(X)的关系式分别为:YC=71.26X-0.607 5,r2=1.000 0**和YN=74.039X-0.413 3,r2=0.999 9**。各处理土壤CO_2释放速率均表现出先增后降然后趋于稳定趋势。菌渣用量越高,CO_2释放速率越高,各处理在不同培养时间CO_2释放速率均表现为TMSM3SM2SM1TS。在第7 d时各处理CO_2释放速率最高,在第14 d时渐渐处于平稳下降状态,培养35 d后,各处理土壤有机碳矿化强度很小,大部分有机碳被固定在土壤中,其中TM处理有机碳矿化强度最小。总之,还田菌渣越多,土壤中被固定的碳越多。     

土壤酶活性对温度和CO2浓度升高的响应研究

作为土壤生态系统中的重要组成部分及生物元素循环的积极参与者,土壤酶在陆地生态系统地下生态过程中扮演着十分重要的角色。升高温度和(或)大气CO2浓度可能直接或者间接影响其活性。但目前对温度和(或)大气CO2浓度升高对土壤酶的影响机理、过程及土壤酶对其的响应机制研究相对薄弱。本文初步总结了国内外关于温度和(或)大气CO2浓度升高对土壤酶活性影响研究的现状,并指出了目前研究中存在的不足。     

干湿交替对新疆绿洲农田土壤CO2排放的影响

[目的]分析不同土壤水分变化及干湿交替对土壤CO_2排放的影响,为绿洲农田土壤碳循环提供科学依据。[方法]选取新疆绿洲棉田土壤,通过室内控制模拟试验,以及用气相色谱仪分析CO_2浓度。[结果](1)与60%WFPS(土壤充水孔隙度)相比,40%WFPS对土壤CO_2排放起到了显著的抑制作用(p0.05),而80%WFPS对土壤CO_2排放无显著性影响(p0.05)。培养结束时,与60%WFPS的土壤CO_2累积排放量相比,40%WFPS的土壤CO_2累积排放量降低26%(p0.05),而80%WFPS的土壤CO_2累积排放量仅增加0.04%(p0.05)。(2)多次干湿交替循环后,干湿交替处理下的土壤CO_2累积排放量显著低于恒湿处理。在不同干旱强度处理中,重度干旱(SD)处理对土壤CO_2排放速率响应程度大于适度干旱(MD)处理,但多次干湿交替循环后,SD处理下的土壤CO_2累积排放量却显著小于MD处理。随干湿交替循环次数的增加,干湿交替对土壤CO_2排放速率的影响显著降低,特别是对土壤CO_2排放速率最高值的影响最大。[结论]在新疆绿洲棉田土壤中,干湿交替能降低土壤CO_2排放量,降低量随干旱强度的增大而增大。     

高温、高CO2对农作物影响的试验研究

在人工气候室试验研究高温和高CO2浓度对农作物的影响结果表明，高温、高CO2浓度使农作物生育进程加快，作物生育期缩短，作物的光合作用速率升高，蒸腾速率下降和气孔阻力增加；在相同的发育期使作物叶面积、根、茎、叶生长量不足，生物量下降；对不同作物产量结构的影响有差异，对小麦的影响主要是小穗数和穗粒数下降，而对玉米的影响主要是籽粒百粒重下降。高温、高CO2浓度可使农作物叶片中微量元素含量发生显著变化。     

南亚热带果园土壤二氧化碳释放变异性研究

Temporal variability in soil CO2 emission from an orchard was measured using a dynamic open-chamber system for measuring soil CO2 effiux in Heshan Guangdong Province, in the lower subtropical area of China. Intensive measurements were conducted for a period of 12 months. Soil CO2 emissions were also modeled by multiple regression analysis from daily air temperature, dry-bulb saturated vapor pressure, relative humidity, atmospheric pressure, soil moisture, and soil temperature. Data was analyzed based on soil moisture levels and air temperature with annual data being grouped into either hot-humid season or relatively cool season based on the precipitation patterns. This was essential in order to acquire simplified exponential models for parameter estimation. Minimum and maximum daily mean soil CO2 effiux rates were observed in November and July, with respective rates of 1.98 ± 0.66 and 11.04 ± 0.96 μmol m^-2 s^-1 being recorded. Annual average soil CO2 emission （FCO2） was 5.92 μmol m^-2 s^-1. Including all the weather variables into the model helped to explain 73.9% of temporal variability in soil CO2 emission during the measurement period. Soil CO2 effiux increased with increasing soil temperature and soil moisture. Preliminary results showed that Q10, which is defined as the difference in respiration rates over a 10 ℃ interval, was partly explained by fine root biomass. Soil temperature and soil moisture were the dominant factors controlling soil CO2 effiux and were regarded as the driving variables for CO2 production in the soil. Including these two variables in regression models could provide a useful tool for predicting the variation of CO2 emission in the commercial forest Soils of South China .     

夏玉米生长盛期农田土壤CO2排放的研究

对华北平原典型农田夏玉米生长盛期土壤排放CO_2的试验结果表明,秸秆覆盖增加土壤C的排放,比未覆盖秸秆约增加10％。土壤CO_2排放通量的日变化为单峰型,峰值出现在12:00～16:00,变化区间为109～170μg/m~2·s(秸秆覆盖)和97～128μg/m~2·s(未覆盖)。土壤CO_2排放与温度(5cm地温)有显著相关关系,但与土壤湿度关系较复杂。夏玉米生长盛期土壤CO_2排放通量高于初期和后期,8月2日土壤CO_2排放通量为9月15日的1.42倍(秸秆覆盖)和1.32倍(未覆盖),土壤CO_2排放的日进程为6:00～18:00排放量占全天总排放量的63.5％(秸秆覆盖)和57.9％(未覆盖)。     

西安黄绵土碳释放规律研究

采用碱溶液吸收法。1999 年 9 月～2001 年 8 月 2 年的观测资料显示,西安黄绵土 CO2释放与前人在其他地区的研究不同,表现为白昼释放量低于夜间。西安土壤 CO2释放量的日变化从当日清晨至次日晨,呈现由高变低再变高的变化规律。土壤 CO2释放量的变化趋势大体与温度的变化一致,但在时间上有一定的滞后性。随着季节的变化,西安黄绵土 CO2释放量有明显的增减,夏季日释放量最多,秋季次之,冬季最少。不同植被条件下,土壤 CO2 释放量有差异。一般说来,裸地有较高的释放量,林地和草地释放量较低。裸露地表土壤 CO2的释放量变化较大,地表覆盖良好,CO2释放较为稳定。     

Short-term soil CO2 emission after conventional and reduced tillage of a no-till sugar cane area in southern Brazil

The impact of tillage systems on soil CO₂ emission is a complex issue as different soil types are managed in various ways, from no-till to intensive land preparation. In southern Brazil, the adoption of a new management option has arisen most recently, with no-tillage as well as no burning of crops residues left on soil surface after harvesting, especially in sugar cane areas. Although such practice has helped to restore soil carbon, the tillage impact on soil carbon loss in such areas has not been widely investigated. This study evaluated the effect of moldboard plowing followed by offset disk harrow and chisel plowing on clay oxisol CO₂ emission in a sugar cane field treated with no-tillage and high crop residues input in the last 6 years. Emissions after tillage were compared to undisturbed soil CO₂ emissions during a 4-week period by using an LI-6400 system coupled to a portable soil chamber. Conventional tillage caused the highest emission during almost the whole period studied, except for the efflux immediately following tillage, when the reduced plot produced the highest peak. The lowest emissions were recorded 7 days after tillage, at the end of a dry period, when soil moisture reached its lowest rate. A linear regression between soil CO₂ effluxes and soil moisture in the no-till and conventional plots corroborate the fact that moisture, and not soil temperature, was a controlling factor. Total soil CO₂ loss was huge and indicates that the adoption of reduced tillage would considerably decrease soil carbon dioxide emission in our region, particularly during the summer season and when growers leave large amounts of crop residues on the soil surface. Although it is known that crop residues are important for restoring soil carbon, our result indicates that an amount equivalent to approximately 30% of annual crop carbon residues could be transferred to the atmosphere, in a period of 4 weeks only, when conventional tillage is applied on no-tilled soils.     

农田土壤N2O生成与排放影响因素及N2O总量估算的研究

综述了国内外农田土壤N2 O生成与排放及其影响因素、N2 O排放测定技术及总量估算等方面的研究进展 ,指出硝化与反硝化过程均可产生N2 O ,而影响硝化、反硝化过程的土壤水分含量、温度、pH、有机碳含量和土壤质地等是影响农田土壤N2 O生成与排放的重要因素。根据我国各地农田土壤N2 O排放通量测定结果及相应模型分析 ,初步估算全国农田土壤N2 O年排放总量为N 398Gg ,约占全球农田土壤排放总量的 1 0 % ,其中旱田N2 O年排放总量为N 31 0Gg ,水田为N 88Gg。     

干旱区3种林地生态系统土壤CO2的排放特征

以新疆三工河流域的梭梭、柽柳及云杉3种林地为监测对象,对不同林地生态系统土壤CO,排放特征进行对比研究,结果表明：1）梭梭林土壤呼吸速率的日变化曲线8月份为双峰曲线,而6月和10月份为单峰曲线。梭梭林地土壤SO2日释放量表现为8月（4．34g／（m^2.d））〉6月（1．86g／（m^2·d））〉10月（1．17g／（m^2·d））。6月、10月土壤呼吸速率均白天高于夜间,而8月则正好相反。2）8月份几种林地类型的土壤SO2日释放量表现为云杉林（21．71g／（m^2·d））〉梭梭林（4．34g／（m^2·d））〉柽柳林（1．84g／（m^2·d））。8月份云杉、柽柳土壤呼吸日变化曲线与梭梭林地的双峰曲线不同,均为单峰曲线。云杉林、柽柳林的土壤呼吸速率均白天高于夜间,而梭梭林则正好相反。3）云杉林地土壤SO2释放速率与土壤温度呈显著正相关,而梭梭林地生态系统土壤SO2释放速率与空气相对湿度成显著正相关。     

冬小麦农田二氧化碳通量及其影响因素分析

以冬小麦农田为研究对象,利用涡度相关通量测量系统,测定了CO2通量及其影响因素。结果表明:冬小麦CO2通量存在明显的日、季变化,各生育时期CO2通量日变化均呈倒"U"型,CO2通量瞬时最高值和累积值在灌浆前期达到最大,抽穗期次之,返青期最低。潜热通量、显热通量、净辐射、光合有效辐射均与CO2通量呈极显著正相关。潜热通量与CO2通量的相关系数在0.920～0.955之间,苗期、拔节期和抽穗期相关性较高,灌浆期较低;显热通量与CO2通量的相关系数在0.801～0.953之间,拔节期相关性最高,苗期次之,抽穗期和灌浆期较低;净辐射与CO2通量的相关系数在0.879～0.967之间,苗期、拔节期和抽穗期较高,灌浆期较低;光合有效辐射与CO2通量的相关系数在0.910～0.953之间,冬小麦生育前期和后期光合有效辐射对CO2通量的影响小于生育中期。灌溉在一定程度上可以提高CO2通量。     

长期施肥下红壤旱地土壤CO2排放及碳平衡特征

在国家肥力网红壤旱地长期定位试验地上,采用静态箱/气相色谱法测定土壤CO2排放速率,同时利用根去除法区分根系对土壤呼吸的贡献,通过计算净生态系统生产力（NEP）,判断长期不同施肥下红壤旱地农田碳汇强度。结果表明,小麦、玉米生长季各处理的土壤和土体呼吸速率随着作物生长、温度升高均呈现明显的季节变化规律;玉米生长季土壤和土体累积呼吸量大于小麦生长季,小麦、玉米生长季均以NPKM处理土壤和土体呼吸累积呼吸量最大,且显著高于其它处理（P0.05）,NP和NPK处理次之,CK和NK处理最小（P0.05）;小麦、玉米生长季各处理根际呼吸占土壤呼吸的比例分别为7.6 %～17.4 %、4.7%～16.6 %,均以NPKM处理根际呼吸贡献率最大;小麦季NPKM处理、玉米季CK和NPKM处理的NEP值为负,是大气CO2的汇,且NPKM处理的净初级生产力与土壤呼吸的比值（NPP/Rs）最大,其它处理NEP值均为正,是大气CO2的源。有机无机肥配施（NPKM）相比其它处理具有较强的碳汇功能,是红壤旱地比较合理的施肥措施。     

比较土壤和土壤－植物系统中由尿素转化的N2O的排放

A pot experiment with a sandy loam soil and spring wheat as test crop was conducted to compared the N2O emissio from soil system with plant cut off and from soil-plant syste with plant kept.The results showed that after urea fertilizer applied,the N2O emission from soil and soil-wheat system decreased exponentially with time,and its total amount was 0.34-0.63% and 0.33%-0.58% of applied urea-N respectively,no significant difference being found between these two systems.The N2O emission urea-N respectively,no significant difference being found between these two systems.The N2O emission had a very significant negative relationship (P=0.01) with the biomass of wheat plant.A combined application of urease inhibitor hydroquinone and nitrification inhibitor dicyandiamide could reduce the N2O emission by 50%-83% and 46-74%,respectively,from soil and soil-wheat system.The N2O was mainly produced and emitted from soil,and the soil biochemical regulation.i.e.applying related inhibitors into soil could effectively diminish the urea derived N2O emission.     

黄土区夏闲期土壤呼吸变化特征及其影响因素

本文以1984年设立在黄土旱塬区长期田间定位试验为平台,于2009年采用动态密闭气室法(Li-8100,USA),监测了不同施肥措施下旱地冬麦种植系统中休闲期(7月至9月)土壤呼吸、10cm土层的温度和含水量变化,研究了休闲期土壤呼吸变化特征及其与环境因子的关系。结果表明:黄土旱塬农田休闲期土壤呼吸速率变化剧烈,最大值为5.05μmol m-2s-1,最小值为0.06μmol m-2s-1,平均值为2.00μmol m-2s-1,变异系数为116.5%;整个休闲期不同施肥处理的土壤呼吸速率大小为:化肥有机肥配施处理(NMP)有机肥处理(M)化肥氮磷处理(NP)化肥氮处理(N)和不施肥处理(CK);2009年7月7日至9月11日间NPM、M、NP、N和CK处理土壤CO2-C排放量分别为2.0、1.6、1.2、0.8和0.8 Mg hm-2;土壤呼吸与土壤水分为极显著抛物线关系(p0.01),可解释55%以上的土壤呼吸变异性;土壤呼吸与土壤温度呈显著线性相关(p0.01),但仅能解释呼吸作用变异性的19%~39%;土壤呼吸对耕作的响应强度与微生物量碳极显著线性正相关(p0.01),与土壤有机碳显著线性正相关(p0.05),与全氮、可溶性碳无明显关系(p0.05);降雨对土壤呼吸的促进或抑制主要取决于降雨前的土壤水分状况。长期水分亏缺降雨,降雨可明显促进土壤呼吸,而土壤水分充足时,降雨抑制土壤呼吸,其影响大小与土壤有机碳、全氮、土壤可溶性碳和微生物量碳密切相关。休闲期土壤呼吸受土壤水分、土壤干湿变化、土壤温度、翻耕及土壤有机碳水平等因素的影响。