景谷县森林蓄积量遥感估测及其动态变化分析

以云南省景谷县为研究区,基于Landsat5和Landsat8遥感数据,利用2012年和2017年两期全国森林资源连续清查实地调查数据,建立多元逐步回归和随机森林模型对景谷县森林蓄积量进行遥感估测对比研究。结果显示:综合建模精度来看,随机森林法在相同样地数量条件下具有更好的估测效果;从估测结果与林地保护利用规划和林地变更数据结果相比较,随机森林法估测值接近真实值,估测精度较高。     

基于GF-1和Sentinel-2时序数据的茶园识别

由于茶园大多分布在地形复杂的山区,地块破碎,分布零散,形状差异大、植被混杂且茶园所处环境长期受到云雨的影响,增加了茶园遥感识别的难度与不确定性,针对这一问题,该研究提出了利用高分1号(GF-1)和哨兵2号(Sentinel-2)时序数据提取茶园的方法,以浙江省武义县王宅镇为研究区,采用GF-1号为主要数据源,并利用MODIS地表反射率产品和Sentinel-2反射率数据,基于时空融合算法得到时间分辨率5 d的10 m Sentinel-2完整的时序数据。综合利用GF-1在空间细节方面的优势和重建的Sentinel-2高观测频率时序数据在反映茶树生长过程方面的优势,分别基于GF-1的光谱和纹理特征及GF-1的光谱、纹理特征和Sentinel-2时序特征两种特征组合方式,采用随机森林算法提取茶园。结果表明,GF-1光谱、纹理信息结合Sentinel-2时序信息分类结果的准确率、错误率、精确率、召回率和F1分数分别为96.91%、3.09%、89.00%、83.09%和0.86,仅基于GF-1光谱和纹理信息的分类准确率、错误率、精确率、召回率和F1分数分别为94.72%、5.28%、73.09%、84.61%和0.78,添加时序信息分类结果总体优于未添加时序信息的分类结果。表明高空间分辨率结合高频率时序遥感数据是提高茶园分类精度的有效手段。     

吕梁山地区植被物候变化及对气候的响应

吕梁山地区地形垂直差异明显,植被对气候变化反应敏感,研究吕梁山地区植被物候变化,探索植被物候变化与气候的响应关系,旨在为高海拔山区植被物候研究和生态治理提供借鉴。基于2000—2015年MODIS NDVI时间序列数据,通过动态阈值法提取吕梁山地区的植被物候,对气温、降水进行空间插值,并对植被2个关键物候期与气候因素进行偏相关分析。结果表明：（1）植被生长季开始日期(the start of the growing season,SOS)提前的区域约占85.7%,其中16.2%显著提前;植被生长季结束日期(the end of the growing season,EOS)推迟的区域约占90.6%,其中33.3%显著推迟。（2）区内74.8%、87.7%植被SOS分别与气温、降水呈负相关,气温升高或降水增加,植被SOS提前。植被SOS在高海拔山区受4月气温影响显著,而低海拔地区受4月降水影响显著。（3）区内72.6%、65.1%植被EOS分别与气温、降水呈正相关,气温升高或降水增加,植被EOS推迟。植被EOS在北部和西部地区受11月气温影响显著,而高海拔地区受9月降水影响显著。2000—2015年吕梁山地区植被物候发生显著变化,各地区对气温、降水的响应不同,研究结果可为区域物候、气候变化研究和陆地生态治理提供科学依据。     

全混合颗粒料中添加不同类型蛋氨酸对湖羊生长性能及血清生化指标的影响

本试验旨在研究在湖羊全混合颗粒料中添加不同类型蛋氨酸(蛋氨酸钙盐与蛋氨酸羟基类似物异丙酯)对湖羊生长性能及血清生化指标、抗氧化指标和激素含量的影响。选取体重为(19.99±2.04) kg的健康湖羊72只,随机分为3组:对照组、试验Ⅰ组(在基础饲粮中添加1.5 kg/t蛋氨酸钙盐)和试验Ⅱ组(在基础饲粮中添加1.5 kg/t蛋氨酸羟基类似物异丙酯),每组6个重复,每个重复4只(公母各占1/2)。预试期7 d,正试期80 d。结果表明:1)与对照组相比,试验Ⅰ组、试验Ⅱ组总增重、平均日增重均有上升的趋势,其中试验Ⅰ组总增重提高了12.8%(P>0.05),试验Ⅱ组总增重提高了3.1%(P>0.05);料重比方面,试验Ⅰ组、试验Ⅱ组均有下降的趋势,其中试验Ⅰ组下降了12.2%(P>0.05),试验Ⅱ组下降了3.6%(P>0.05)。2)试验Ⅱ组血清甘油三酯(TG)、总胆固醇(TCH)、低密度脂蛋白胆固醇(LDL-C)、总蛋白(TP)含量显著高于对照组和试验Ⅰ组(P <0.05)。3)血清抗氧化指标及激素含量各组之间无显著差异(P>0.05)。综上所述,全混合颗粒料中添加蛋氨酸羟基类似物异丙酯及蛋氨酸钙盐具有提高肉羊生长速度、降低料重比的趋势,同时影响部分血清生化指标,但对血清抗氧化指标及激素含量无显著影响。     

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.     

圈养华南虎血液生化指标正常参考值初步研究

以国内部分圈养的健康华南虎Panthera tigris amoyensis作为研究对象,通过收集华南虎血液生化报告和采集华南虎血液样本检测建立样本数据,血样检测采用自动血液生化分析仪干式试剂片生化技术测定,测定血液生化指标包括血糖(GLU)、总蛋白(TP)、总胆固醇(CHOL)、总胆红素(TBIL)、肌酐(CREA)等。得到华南虎血液生化共38项指标的正常参考值范围(95%概率),其中几项主要指标正常值范围如下:GLU(2.82-11.55)mmol/L、TP(56.58-85.93)g/L、CHOL(3.32-8.66)μmol/L、TBIL(0-5.30)μmol/L、CREA(52-349)μmol/L等。统计结果显示,雌雄华南虎间血液生化指标的部分项目有差异(P <0.05),幼龄组和成年组间各项生化指标差异不显著(P >0.05),与其他虎亚种相关血液生化报道的生化指标部分有差别。华南虎血液生化指标正常参考值范围不同于其他虎亚种,建立华南虎血液生化指标正常值对华南虎的饲养管理、疾病诊治预防和保育繁殖研究工作有重要作用。     

不同行距配比对玉米光合生理指标及茎秆特性的影响

以‘大丰30’为试验材料,在同一密度下（75000株/hm²）设置5种不同行距配比,研究不同行距配比对玉米光合生理指标及茎秆力学特性的影响。结果表明：行距配比为40 cm×80 cm时,棒三叶的叶绿素含量(SPAD)在灌浆期达到峰值;行距配比为30 cm×90 cm时,棒三叶净光合速率在灌浆期最高。大口期开始,行距配比为40 cm×80 cm时,叶面积指数(LAI)最高。单株干物质积累量以40 cm×80 cm最高。各行距配比的茎秆硬皮穿刺强度与茎秆弯曲性能随着节位的下降均呈逐渐增强的趋势,从大到小为 40 cm×80 cm>50 cm×70 cm>30 cm×90 cm>60 cm×60 cm>20 cm×100 cm。穗长、穗粗、千粒重和穗粒数各处理间均有不同变化,行距配比为40 cm×80 cm时产量最高,比等行距60 cm×60 cm增产7.96%。由此可见,行距配比为40 cm×80 cm,有利于大穗型品种‘大丰30’的光合性能和茎秆强度的提高,从而达到抗倒伏增产的目的。     

日粮钙水平对空怀期云南半细毛羊生长性能及血清生化指标和繁殖相关激素的影响

试验旨在探讨日粮钙水平对空怀期云南半细毛羊生长性能、配种前血清生化指标和繁殖相关激素的影响,为开展空怀期云南半细毛羊营养需要量研究提供参考。选用50只体况良好、体重相近、38月龄的经产2胎空怀云南半细毛羊,随机均分为5组,分别饲喂0.40%(无外源钙)、0.45%、0.53%、0.66%、0.85%5个钙水平的日粮。预试期14d,正试期30d。结果表明:0.53%钙水平组云南半细毛羊的总增重、平均日增重、平均日采食量、耗料增重比等指标相对优于其他组;0.40%钙水平日粮组的血清钙最高,血清碱性磷酸酶、甲状旁腺素、钙、磷组间差异不显著(P>0.05);繁殖相关激素各组间表现不一,0.40%钙水平组雌二醇水平最高(P>0.05)。在日粮磷水平为0.20%水平条件下,0.53%钙水平组的空怀期云南半细毛羊表现出较好的生长性能,可为临配种前生理生化和激素水平提供较好准备;增加日粮钙水平,未见对以上指标有明显的正向增强作用,可能与日粮钙磷比失衡有关。     

华南花岗岩侵蚀区不同植被类型坡面土壤有机碳分布和团聚体稳定性

植物是影响土壤有机碳含量和土壤团聚体稳定性的重要因素。选取华南典型花岗岩侵蚀区荒草地、桉树林、湿地松林和木荷林4种植被类型径流小区的土壤为研究对象,分析测定不同坡位、不同土层深度的土壤有机碳特性和团聚体稳定性等指标,评价不同植被类型对土壤养分的分布特性以及团聚体稳定性差异,明确花岗岩侵蚀退化区较为理想的生态恢复措施,旨在为合理利用土壤、重建坡面植被和改善土壤结构提供科学依据。结果表明:土壤总有机碳(TOC)、全氮(TN)和溶解性有机碳(DOC)含量随土层加深逐渐降低,而林地小区土壤碳氮比(C/N)则相反,荒草地碳氮元素的坡面变异系数(CV)显著高于其他3种林地,其中桉树林地TOC、TN、DOC和C/N的坡面分布的变异系数较荒草地分别降低40%,56.18%,68.5%和25.81%;湿地松林地TOC、TN、DOC和C/N的坡面分布的变异系数较荒草地分别降低62.73%,33.71%,46.46%,58.06%;木荷林地TOC、TN、DOC和C/N的坡面分布的变异系数较荒草地分别降低41.82%,38.2%,51.18%,48.39%,表明林地较荒草地更有利于土壤碳氮在坡面的均质化和有机质的积累。荒草地和木荷林地0.25 mm粒径以上的团聚体在上、中坡位的质量分数显著高于其他植被类型,而林下植被生物量较高的木荷林地的平均质量直径(MWD)和几何平均直径(GMD)显著高于其他植被类型。其中木荷小区水稳性团聚体平均质量直径(MWD)较荒草地、桉树和湿地松分别高20.10%,19.58%,23.20%;几何平均直径(GMD)较荒草地、桉树和湿地松分别高20.00%,19.54%,22.23%,表明在花岗岩侵蚀区林地空间结构较好的林草模式有利于土壤有机碳的积累和土壤结构的稳定。     

Regional and local scale variations in soil organic carbon stocks in West Greenland

The soil organic carbon (SOC) pool of the Northern Hemisphere contains about half of the global SOC stored in soils. As the Arctic is exceptionally sensitive to global warming, temperature rise and prolonged summer lead to deeper thawing of permafrost‐affected soils and might contribute to increasing greenhouse gas emissions progressively. To assess the overall feedback of soil organic carbon stocks (SOCS) to global warming in permafrost‐affected regions the spatial variation in SOCS at different environmental scales is of great interest. However, sparse and unequally distributed soil data sets at various scales in such regions result in highly uncertain estimations of SOCS of the Northern Hemisphere and here particularly in Greenland. The objectives of this study are to compare and evaluate three controlling factors for SOCS distribution (vegetation, landscape, aspect) at two different scales (local, regional). The regional scale reflects the different environmental conditions between the two study areas at the coast and the ice margin. On the local scale, characteristics of each controlling factor in form of defined units (vegetation units, landscape units, aspect units) are used to describe the variation in the SOCS over short distances within each study area, where the variation in SOCS is high. On a regional scale, we investigate the variation in SOCS by comparing the same units between the study areas. The results show for both study areas that SOCS are with 8 kg m^?2 in the uppermost 25 cm and 16 kg m^?2 in the first 100 cm of the soil, i.e., 3 to 6 kg m^?2 (37.5%) higher than existing large scale estimations of SOCS in West Greenland. Our approach allows to rank the scale‐dependent importance of the controlling factors within and between the study areas. However, vegetation and aspect better explain variations in SOCS than landscape units. Therefore, we recommend vegetation and aspect for determining the variation in SOCS in West Greenland on both scales.