3 resultados para Plow

em Chinese Academy of Sciences Institutional Repositories Grid Portal


Relevância:

10.00% 10.00%

Publicador:

Resumo:

依据陕西安塞田间试验,采用LI-6400便携式光合仪,在自然条件下对黄土丘陵区旱作农田传统翻耕化肥(CF)、翻耕有机肥(CM)、翻耕无肥(CN)、免耕化肥(NF)、免耕有机肥(NM)、免耕无肥(NN)等处理下盛花期大豆叶片的净光合速率、气孔导度、水分利用效率及影响因子日变化进行了研究。结果表明:6种不同处理的大豆叶片净光合速率日变化均为双峰曲线,峰值分别在11:30、16:00出现。NM、NF处理对提高大豆净光合速率有明显的促进作用,其中以有机肥(NM)最为显著。气孔导度与蒸腾速率之间达极显著正相关(P<0.01,r=0.9994)。气孔导度日变化也为双峰,峰值分别出现在11:30、16:00。不同处理下,大豆的水分利用效率呈单峰曲线,峰值出现在10:00,低谷出现在13:00以后。其中,NF、NM处理能显著提高大豆盛花期的水分利用效率。相关分析表明:气孔导度、蒸腾速率、叶温、光合有效辐射及基于叶温的蒸汽压亏缺是大豆光合作用的促进因子,而胞间CO_2浓度、空气CO_2浓度、空气相对湿度则为主要的限制因子。CF、NF处理在8:30~10:20和13:00,CM、NN处理在8:30、11:30~13:00、17:...

Relevância:

10.00% 10.00%

Publicador:

Resumo:

为了揭示黄土高原南部地区不同质地类型土壤剖面坚实度的变化及其与土壤含水率的定量关系,以黄墡土、土娄土、裸露在地表的粘化层耕作剖面为研究对象,定位观测其0~45 cm土壤坚实度与含水率的变化。结果表明,黄墡土、土娄土、裸露在地表粘化层耕作剖面的犁底层平均坚实度均大于耕层,犁底层平均坚实度较耕层分别高194.8%,87.3%,10.4%;剖面土壤质地越粘其平均坚实度越大;土壤坚实度与含水率呈负相关关系;土壤坚实度变化速率为0时,以上3种土壤剖面临界含水率分别为0.1712,0.1757,0.1835;质地不同的土壤剖面坚实度时空变化特征有差异,其中黄墡土剖面0~20 cm土层土壤坚实度为350~500 kPa,受土壤含水率变化的影响较小;20~30 cm土层土壤的坚实度为500~1400 kPa,不易受外界环境影响;30 cm以下土层土壤坚实度为700~1600 kPa,受土壤含水率变化影响较大。土娄土剖面0~40 cm土层土壤坚实度为600~1200 kPa,受含水率变化影响较大;40 cm以下土层土壤坚实度稳定在1 800 kPa左右。粘化层剖面0~15 cm土层土壤坚实度在2000 kPa左右,受环境影响较...

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Due to its inert reaction in soil system and distinctive vertical distribution in soil profile, caesium-137 (Cs-137) has been used as a tracer to assess wind erosion. In this study, 62 soil samples were collected from 4 sampling sites in Taipusi County, Inner Mongolia; Caesium-137 activities for those soil samples were measured using a gamma-ray spectrometry in Sichuan University, Chengdu. Distribution pattern of Cs-137 in vertical soil profile was different for different land use and land cover types. Caesium-137 was distributed homogeneously in plow layer of cropland, and negatively exponential in low to medium cover grassland. Distribution pattern in high covered grassland was represented by a peak at 2-4 cm soil depth followed by a negative exponential curve. Based on those findings, simplified mass balance model was chosen to estimate the rate of wind erosion for cropland, while profile distribution model was used for grassland. Estimated wind erosion rates were 7990, 4270 and 1808 Mg(.)km(-2.)a(-1) for cropland, low cover grassland and medium cover grassland, respectively. Wind erosion intensity correlated negatively with plant cover.