Assessing the effects of vegetation and precipitation on soil erosion in the Three-River Headwaters Region of the Qinghai-Tibet Plateau,China

Soil erosion in the Three-River Headwaters Region (TRHR) of the Qinghai-Tibet Plateau in China has a significant impact on local economic development and ecological environment. Vegetation and precipitation are considered to be the main factors for the variation in soil erosion. However, it is a big challenge to analyze the impacts of precipitation and vegetation respectively as well as their combined effects on soil erosion from the pixel scale. To assess the influences of vegetation and precipitation on the variation of soil erosion from 2005 to 2015, we employed the Revised Universal Soil Loss Equation (RUSLE) model to evaluate soil erosion in the TRHR, and then developed a method using the Logarithmic Mean Divisia Index model (LMDI) which can exponentially decompose the influencing factors, to calculate the contribution values of the vegetation cover factor (C factor) and the rainfall erosivity factor (R factor) to the variation of soil erosion from the pixel scale. In general, soil erosion in the TRHR was alleviated from 2005 to 2015, of which about 54.95% of the area where soil erosion decreased was caused by the combined effects of the C factor and the R factor, and 41.31% was caused by the change in the R factor. There were relatively few areas with increased soil erosion modulus, of which 64.10% of the area where soil erosion increased was caused by the change in the C factor, and 23.88% was caused by the combined effects of the C factor and the R factor. Therefore, the combined effects of the C factor and the R factor were regarded as the main driving force for the decrease of soil erosion, while the C factor was the dominant factor for the increase of soil erosion. The area with decreased soil erosion caused by the C factor (12.10×10³ km²) was larger than the area with increased soil erosion caused by the C factor (8.30×10³ km²), which indicated that vegetation had a positive effect on soil erosion. This study generally put forward a new method for quantitative assessment of the impacts of the influencing factors on soil erosion, and also provided a scientific basis for the regional control of soil erosion.     

中国三大自然区域紫花苜蓿土壤速效钾丰缺指标和推荐施钾量

为给内蒙古高原区、黄土高原区和西北荒漠绿洲区紫花苜蓿测土施肥奠定科学基础,采用零散实验数据整合法以及养分平衡-地力差减法,开展了三大自然区域紫花苜蓿土壤速效钾丰缺指标和推荐施钾量研究。结果表明,内蒙古高原区紫花苜蓿土壤速效钾第1~4级指标依次为≥342mg/kg、89~342mg/kg、24~89mg/kg和<24mg/kg,黄土高原区第1~6级指标依次为≥171mg/kg、96~171mg/kg、54~96mg/kg、30~54mg/kg、17~30mg/kg和<17mg/kg,西北荒漠绿洲区第1~4级指标依次为≥303mg/kg、140~303mg/kg、65~140mg/kg和<65mg/kg;当目标产量9~27t/hm²、钾肥利用率50%时,第1~6级土壤的推荐施钾量分别为0、54~162kg/hm²、108~324kg/hm²、162~486kg/hm²、216~648kg/hm²和270~810kg/hm²。     

墨脱县农田土壤养分现状与分布特征

本研究利用2017年墨脱县农田测土配方项目土壤调查数据,运用地统计学方法研究了墨脱县耕层土壤有机质(SOM)、碱解氮(AN)、速效磷(AP)和速效钾(AK)养分含量现状及分布特征,以期为墨脱县耕地土壤科学合理施肥提供理论依据。结果表明:当前墨脱全县土壤SOM、AN、AP和AK平均含量为89.18 g/kg、201.25 mg/kg、11.23 mg/kg、313.17 mg/kg;90%的土壤样本有机质含量处于丰富水平;83%的土壤样本碱解氮含量处于丰富、稍丰等级;84%的土壤样本速效磷含量在中等及中等以下肥力水平;46%的土壤样本速效钾含量处于中等及以下水平。从空间分布来看,土壤SOM、AK总体上呈现西高东低,AN含量由北至南呈升高趋势,土壤AP整体上没有明显的空间变化规律。墨脱县耕地土壤养分整体表现为有机质含量丰富,氮素养分较丰富,磷素养分缺乏现象普遍,钾素养分部分区域缺乏。为提升墨脱县耕地土壤肥力水平,各乡镇应该因地制宜进行土壤培肥。     

牡丹籽粕提取液对连作土壤特性及小麦全蚀病防治研究

为充分利用牡丹籽粕中杀虫抑菌等作用成分,确定不同浓度牡丹籽粕提取液对连作土壤性质的影响。本研究通过结合单因素和正交实验、土壤化学性质分析方法及小麦全蚀病室内生物活性测定方法,确定了牡丹籽粕中有效成分最优提取条件为60%乙醇浓度、120 W超声功率、50℃提取温度;发现牡丹籽粕提取液在一定浓度范围内可降低连作土壤pH、改善土壤碱性,对土壤养分中有机质含量、全氮、碳氮比、全磷、灰分均表现出低浓度促进作用,高浓度抑制作用“低促高抑”作用,并有益于真菌、放线菌数量及纤维素酶和脲酶活性的增加;此外,牡丹籽粕提取液浓度为0.8 mg/mL (T4)时,其对小麦全蚀病治疗作用防效达63.42%。本研究结果可为牡丹籽粕废弃物的资源化利用及植物源环保型杀菌剂的开发奠定基础。     

乡土阔叶树种在碳汇造林中的应用及优势分析

随着我国社会经济的发展,逐步暴露出了许多的生态环境问题。而为了维持生态的平衡,就要提高植树造林的力度,这其中碳汇造林就是植树造林工作的延伸。在碳汇造林中乡土阔叶树种发挥着重要作用,针对乡土阔叶树种在碳汇造林中的应用进行分析,对项目中出现的问题进行优化。     

辣椒几丁质酶类基因家族的全基因组鉴定和表达特征分析

几丁质酶（chitinase, EC 3.2.1.14）是一种降解几丁质的糖苷酶,在植物应对非生物和生物胁迫中起重要作用。本研究对辣椒几丁质酶类（Capsicum annuum chitinase-like, CaCTL）基因家族成员进行了全基因组注释、进化分析和基因表达模式分析。从最新的辣椒基因组数据库中鉴定出31个CaCTL成员。根据系统发育进化树将这些成员分为GH18和GH19亚家族,并进一步分为5个亚类（Ⅰ~Ⅴ类）。保守基序分析结果表明,每个亚类中的成员存在功能相关性。对辣椒、矮牵牛以及番茄的CTL基因家族成员同源性分析表明,在矮牵牛和番茄中分别有7个和11个辣椒CaCTL的同源基因。通过qRT-PCR分析发现,在正常环境生长的辣椒植株中,64.2%的GH18亚家族的CaCTL成员表达水平很低,有64.7%的GH19亚家族成员在不同组织中存在差异表达。顺式作用元件分析表明,CaCTL成员启动子区域存在许多激素反应以及生物和非生物应激相关元件。当植物遭受不同的非生物胁迫时,qRT-PCR结果显示,多数CaCTL成员表达上调。当植物遭受高温干旱条件时,多个CaCTL成员的表达上调明显。上述结果丰富了CTL基因家族进化的研究,为探索CaCTL成员的功能提供了数据基础。     

Soil quality assessments in integrated crop–livestock–forest systems: A review

Integrated crop–livestock–forest is a promising strategy to improve soil quality. It comprises four different integrated farming systems: crop–livestock, crop–forest, forest–livestock and crop–livestock–forest. This work systematically reviewed studies about integrated crop–livestock–forest systems and soil quality. A total of 92 papers were retrieved from the Web of Science—Clarivate Analytics platform, and the following information was analysed: publication year, institution, region of the studied site, type of integrated system, soil type, tillage system, maximum soil depth and the soil quality indicators assessed. Most studies were published in the second half of the 2010s. Brazil is a prominent focus of research about soil quality and integrated crop–livestock–forest systems, with significant contribution from its central and southern regions. The Embrapa was the main publishing institution, present in over one‐third of the studies. Crop–livestock was the most common integrated system, Ferralsols was the most common soil group, and most of the studied soils were clayey. No tillage was the main tillage system. Most studies focused on the topsoil, assessing physical and/or chemical soil quality indicators. More emphasis on biological indicators of soil quality is required, as well as assessments integrating biological, physical and chemical indicators of soil quality. Future works should compare different integrated systems, including assessments deeper in the soil profile, especially in systems with the forest component, and also in sandy and silty soils. Soil quality indicators that have been rarely used should be further tested. Novel indicators should be added to better understand the promotion of soil quality by integrated crop–livestock–forest systems.     

基于准静态同轴探头模型的土壤复介电测量方法

末端开路同轴探头法测量土壤复介电值用于表征土壤含水率具有准确、快捷的优点。针对目前土壤介电同轴探头集总测量模型没有充分考虑探头的参数以及土壤体积对测量结果影响等问题，基于电磁场理论，对末端开路同轴探头建立了准静态数学模型，适用于土壤的复介电常数准确测量。通过全波软件仿真和模型计算结果对比，以无水乙醇介电实测值和理论值对比，验证模型的准确性。采用本文介电测量模型对不同含水率的黄绵土进行测量计算，复介电常数实部与实测土壤含水率二阶多项式拟合决定系数大于0.965，表明本文所提土壤介电测量方法适用于土壤复介电常数和含水率的测量。