不同燕麦品种在尼泊尔北部山区的生长特性及其营养品质的研究

畜牧业是尼泊尔北部山区的重要生计支柱,提升牧草产量是我国对尼泊尔开展农业技术援助的关键领域。为筛选出适宜尼泊尔北部山区栽培的燕麦品种,于2019年5-10月在尼泊尔热索瓦县郎唐山区对12个燕麦品种（爱沃、太阳神、贝勒1、美达、科纳、林纳、青引1号、青海444、青海甜燕麦、陇燕2号、陇燕3号、Kamadhenu）的物候期、株高、产草量、穗含量、叶茎比和关键营养成分等进行了品比试验。结果表明：美达、科纳、青引1号、青海444、青海甜燕麦和Kamadhenu 6个品种能完成生育期,生育天数在115~141 d,其余多数品种只能达到乳熟期。各燕麦品种的株高为134.8~177.7 cm,其中引进品种太阳神、青海444、青海甜燕麦、美达和林纳的株高较对照品种Kamadhenu高6.3%~20.4%,存在极显著差异（P<0.01）。青海甜燕麦、青海444和美达的干草产量分别达到了14723.0、13491.0和13369.6 kg·hm^-2,分别比对照品种Kamadhenu增产36.0%、24.7%和23.6%,差异极显著（P<0.01）。贝勒1、科纳和太阳神的叶茎比分别为0.40、0.38和0.36,是对照品种Kamadhenu的1.50~1.67倍。各燕麦品种的干物质、粗蛋白、总灰分、中性洗涤纤维和酸性洗涤纤维含量变化范围分别为93.5%~95.6%、5.7%~9.9%、4.4%~6.9%、68.2%~78.4%和39.3%~48.7%,其中太阳神的粗蛋白含量是对照品种Kamadhenu的1.57倍,存在极显著差异（P<0.01）。对各燕麦品种的10个农艺性状进行主成分分析及综合评价,结果表明,引进品种青海甜燕麦、美达、青海444和太阳神综合适应性较好,适宜在该地区推广种植。     

A new galago species for South Africa (Primates: Strepsirhini: Galagidae)

The primate fauna of South Africa has historically been viewed as comprising three diurnal cercopithecoid taxa – chacma baboons (Papio ursinus), vervet (Chlorocebus pygerythrus) and samango monkeys (Cercopithecus albogularis) – and two nocturnal lorisoid species – the thick-tailed greater galago (Otolemur crassicaudatus) and the southern lesser galago (Galago moholi). Here we report the positive identification of a third galago species within South Africa’s borders: the Mozambique dwarf galago or Grant’s galago, Galagoides granti (Thomas and Wroughton, 1907). The taxon was previously held to be restricted to Mozambique, eastern Zimbabwe, Malawi and Tanzania, but we have also observed it in the sand forest of Tembe Elephant Park and the Tshanini Community Reserve, near the Mozambique border. The species was formerly mistaken for Galago moholi, erroneously (we believe) extending the range of the latter species into northern KwaZulu-Natal. In South Africa the two small galagos are unlikely to have overlapping ranges: Galago moholi prefers dry savanna woodlands, whereas Galagoides granti is apparently confined to dry sand forest. However, both species may coexist with the larger and more widespread Otolemur crassicaudatus, an inhabitant of moist savanna, forest edge and thicket. The true South African ranges of both small galago species need to be ascertained.     

北方农牧交错带土地利用结构的线性规划——以定西县为例

探讨了用线性规划方法优化土地利用结构,并以北方农牧交错带定西县土地利用结构的经济效益作为目标函数,以人口和自然条件作为约束条件,进行优化分析,规划结果为定西县土地利用结构由2005年的农、林、草面积比例54:10:36调整为30:13:57.     

Detection of Ecballium elaterium in hedgerow olive orchards using a low-cost uncrewed aerial vehicle and open-source algorithms

BACKGROUND

Ecballium elaterium (common name: squirting cucumber) is an emerging weed problem in hedgerow or superintensive olive groves under no tillage. It colonizes the inter-row area infesting the natural or sown cover crops, and is considered a hard-to-control weed. Research in other woody crops has shown E. elaterium has a patchy distribution, which makes this weed susceptible to design a site-specific control strategy only addressed to E. elaterium patches. Therefore, the aim of this work was to develop a methodology based on the analysis of imagery acquired with an uncrewed aerial vehicle (UAV) to detect and map E. elaterium infestations in hedgerow olive orchards.

RESULTS

The study was conducted in two superintensive olive orchards, and the images were taken using a UAV equipped with an RGB sensor. Flights were conducted on two dates: in May, when there were various weeds infesting the orchard, and in September, when E. elaterium was the only infesting weed. UAV-orthomosaics in the first scenario were classified using random forest models, and the orthomosaics from September with E. elaterium as the only weed, were analyzed using an unsupervised algorithm. In both cases, the overall accuracies were over 0.85, and the producer's accuracies for E. elaterium ranged between 0.74 and 1.00.

CONCLUSION

These results allow the design of a site-specific and efficient herbicide control protocol which would represent a step forward in sustainable weed management. The development of these algorithms in free and open-source software fosters their application in small and medium farms. © 2022 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.     

土地利用动态监测中多源影像融合方法的比较研究--以陕北黄土丘陵沟壑区为例

在陕北黄土丘陵沟壑区,采用单一传感器的遥感影像提取土地利用信息,存在着识别的土地利用类别少、某些类别混分现象较严重、分类结果的精度较低等问题。以TM多光谱数据和SPOT全色光谱数据的融合为例,提出了适宜于该地区的两种影像融合方法:主成分变换法和乘积运算法,并从影像的光谱质量、纹理信息和目视效果等方面对其进行了对比与评价。结果显示,主成分变换法为较理想的融合方法。以陕北无定河流域为实验样区的土地利用自动分类结果表明,该方法的应用使土地利用各类别的提取精度都有不同程度的提高;水体、水田和城镇用地等面积较小的类别分类正确率提高达到10%以上;坡耕地与林草地的混分明显减少,分类精度均提高了5%以上;分类总精度从82.0%提高到89.2%,取得了良好的分类效果。此研究对于遥感影像融合技术的评价与应用进行了有益的探索,同时为该地区的土地利用动态监测提供了关键技术。     

基于森林资源节约的出版规范改进研究

针对当前我国森林资源和文字规范工作的实际情况,在统计分析了森林资源流向、书刊发行现状的基础上,从节约资源的角度出发,应用工业工程的理论思想和方法对文字的规范标准及纸张节约等相关问题进行分析研究,提出了具有较强操作性和实际意义的改进方法。     

Prediction of pine mistletoe infection using remote sensing imaging: A comparison of the artificial neural network model and logistic regression model

In this study, the prediction of pine mistletoe distribution in Scots pine ecosystems was explored using remote sensing variables to compare the multilayer perceptron (MLP) artificial neural network (ANN) and logistic regression (LR) model performances. For this purpose, 109 sample plots were distinguished in pure Scots pine forests (natural) in the Eastern Black Sea Region of Turkey. Distinguishing mistletoe-infected stands (69) and uninfected stands (40) was performed with field observations. The variables acquired from Landsat 8 (Level 1) images were used as independent variables for independent-sample t-test, MLP ANN and LR models. Remote sensing variables indicated that mistletoe-infected stands were in drier areas with a lower vegetation-leaf area index. Based on the performance results of both models, the sensitivity (SEN), specificity (SPE), positive predictive value (PPV), negative predictive value (NPV) and accuracy of the MLP ANN model were superior to those of the LR model. The prediction percentages (SEN, SPE, PPV and NPV) of mistletoe-infected stands were better than the prediction percentages of uninfected stands. The prediction accuracies of LR and MLP ANN models were 74.3% and 89.6%, respectively. However, all remote sensing variables were included in the prediction equation of the MLP ANN model, while the thermal infrared 1 (TIRS1) variable was included in the LR model. In the MLP ANN model, the TIRS1 variable also had the highest normalized importance (100%). The area under the curve (AUC) value for identifying the mistletoe-infected stands of Scots pine forests used by the MLP ANN model (0.892 ± 0.034) was higher than in the LR model (0.838 ± 0.039), explaining the more accurate predictions obtained from the MLP ANN model. The MLP ANN model showed much better performance than the LR model. The results of this study are expected to make important contributions to the identification of potential mistletoe-infected areas.     

长白山林区主要可燃物类型地表可燃物载量分析

对长白山林区主要可燃物类型地表可燃物载量进行了对比分析和聚类分析。通过可燃物类型载量的对比分析,得出易燃的可燃物类型是云冷杉林(鱼鳞云杉103a)、落叶松林(115a)和云冷杉林(鱼鳞云杉80a),最不易燃的是岳桦林(142a)、白桦林(87a)和岳桦林(115a);释放能量最大的可燃物类型是落叶松林(115a),释放能量最小的可燃物类型是白桦林(87a)。通过各可燃物类型的1h时滞可燃物载量和地表总可燃物载量的聚类分析,可把13个可燃物类型化为6类。     

绥化市秦家镇农田防护林网络架构及生态农业效益分析

对松嫩平原上一典型土地开发整理项目区深入调查研究基础上,在人均土地面积较少的农村,构建出由农田防护林、水利排灌、道路、农田4项网络构成的高效农田防护林复合经营与多样型林带乔、灌立体混交经营模式,实现了林带由单一结构向多层次的立体结构转移,架构了生态立体农业体系,旨为重新调整土地利用结构,实现山、水、田、林、路的全面治理提供依据。     

嫩江沙地杨树用材林生产力的研究

通过对嫩江沙地杜蒙和讷河2个区域12个杨树样地标准木调查资料的分析,确定了几种杨树的地上净生产力范围;通过对生物量和生产力构成因素的综合分析初步确定了杨树合理的经营密度,表明林分密度应根据不同的造林目的和立地条件实行动态管理.