Some Comments on Gerechte Designs

In a companion paper we derived the correct analysis for gerechte designs with uncorrected errors. Here we show that this correct analysis cannot be justified by the usual randomization argument. However, when the regions are rectangular there is a randomization procedure which validates an analysis with three separate error terms. We also outline other developments in design and analysis that may be more satisfactory.     

Evaluation of sampling methods and assessment of the sample size to estimate the weed seedbank in soil, taking into account spatial variability

As field sampling is time consuming, it is necessary to develop efficient sampling techniques to obtain accurate estimates of the weed seedbank in soil. The relative efficiency between sampling schemes depends on the spatial variability in weed seed density across agricultural fields. Spatial variability of the weed seed density was characterized by theoretical correlograms. A systematic sampling (square grill) scheme was considered and it was found that, taking into account spatial variability, this sampling scheme was more efficient than simple random sampling. As a result, the sample size can be reduced in comparison with that given in previous studies, where spatial correlation was ignored. The reduction depends on the correlation structure defined as a function of the ratio, τ, between the nugget effect and the sill of the variogram. The maximum reduction of the sample size, without loss of either precision or confidence level corresponds to the case where there is no nugget effect, τ = 0. The opposite extreme case, where the reduction is nil, corresponds to the case of a pure nugget effect τ = 1. The abaci based on given expressions are provided to determine the sample size in species whose spatial pattern can be fitted either to a Poisson or to a negative binomial distribution.     

红三叶遗传图谱构建及抗白粉病基因QTL定位

本研究以感(岷山红三叶)、抗(澳大利亚红三叶品种♀Sensation×Renegade♂杂交新品系“甘农PR1”)白粉病红三叶材料为父母本杂交并种植成苗经人工接菌后筛选出抗、感白粉病的F₁群体为作图群体,利用AFLP标记构建红三叶高密度遗传图谱,并利用区间作图法对抗白粉病QTL进行了定位分析,可以为红三叶抗白粉病基因克隆和转基因等分子辅助育种奠定基础。结果表明,149个AFLP标记构建得到的遗传图谱包含7个连锁群(LG1,LG2,LG3,LG4,LG5,LG6和LG7),遗传图谱的总距离为640.5 cM。其中,LG1连锁群的遗传距离(140.6 cM)和标记间平均距离(9.4 cM)均最大;LG4连锁群的遗传距离(55.2 cM)和标记间平均距离(1.8 cM)最小。应用区间作图法对红三叶抗白粉病基因进行QTL分析定位,共检测到5个抗白粉病相关QTL位点(qrp-1,qrp-2,qrp-3,qrp-4和qrp-5),其中qrp-1、qrp-2、qrp-3和qrp-4位于LG4连锁群上,qrp-5位于LG5连锁群上。5个QTL位点对抗白粉病的贡献率为29%~90%,qrp-1对红三叶白粉病抗性的贡献率最大(90%),为主效QTL。     

土壤养分数据几种特异值处理方法的比较

利用贵州省平坝县马场镇栗木村的13项土壤养分测试数据,对比分析了3σ准则、估计邻域法、影响系数法、邻近点数据比较法4种识别与处理特异值方法的优劣。结果表明:将3σ准则与邻近点数据比较法相结合,对土壤养分测试数据进行特异值处理获得了较好的效果,对提高地质统计学研究结果的精度有积极的作用。     

华西箭竹对岷江冷杉林主要乔木树种幼苗结构及分布格局的影响

在亚高山岷江冷杉林中选取≤50 m2、50～150 m2和＞150 m2的林窗,每种类型内都包含3种华西箭竹盖度(≤20%、20%～50%和＞50%),共调查林窗9个.通过野外群落学调查,研究林窗内岷江冷杉、糙皮桦和川滇长尾槭这3种主要乔木树种幼苗的结构和分布格局.结果表明:1)在华西箭竹盖度大的林窗中,3个树种的各高度级幼苗都不多,林窗形成后,绝大多数林窗被华西箭竹植株定居,竹盖度对主要树种幼苗总密度以及岷江冷杉幼苗密度的影响显著(p＜0.05);2)华西箭竹盖度对岷江冷杉幼苗密度的影响最明显,主要是由于3个树种的生态学特性存在差异,岷江冷杉在没有华西箭竹分布或箭竹盖度小的地方优先更新;3)3种幼苗在9个林窗几乎全为聚集分布,这主要取决于幼苗生物学特性及林窗环境.林窗大小和华西箭竹盖度的综合作用对优势树种幼苗的结构和分布格局产生影响.     

江苏省4类主要秸秆和畜禽粪便空间分布及综合利用潜力研究

为明晰江苏省农业废弃物资源分布格局并进行利用潜力评估,推进农业废弃物资源化利用,助力农业全面绿色转型,本研究借助GIS构建数据批处理模型,测算各区县水稻、小麦、玉米和油菜4种作物的秸秆和猪、牛、羊、家禽4种畜禽的粪便产生量,及其在肥料化、能源化方面的利用潜力理论值,并结合热点分析结果为江苏省农业废弃物综合利用提供政策建议。结果表明：2020年江苏省4种主要作物秸秆可收集总量高达3 972.00万t,以水稻和小麦秸秆为主,集中分布在江苏北部和中部。分析其肥料化利用潜力,理论上相当于1 511.89万t有机碳、12.04万t N、1.59万t P、24.49万t K,能源化理论上相当于1 617.52万t标准煤或6.5×10⁹m³沼气;江苏省4种主要畜禽粪便产生总量为4 560.77万t,家禽粪便与猪粪最多,主要分布在东部边界和西北部地区。分析其肥料化利用潜力,理论计算相当于737.00万t有机碳、31.15万t N、29.86万t P和26.89万t K,能源化利用可折算成1 036.95万t标准煤或4.9×10⁹m     

成都市土地利用时空结构变化研究

随着经济的高速发展,城市化对土地利用结构变化的影响较大,土地利用时空结构变化研究对土地规划及可持续发展具有重要意义.本文对成都市2000—2020年的土地利用数据进行处理,计算土地利用年变化率(R)、土地利用程度综合指数和土地利用变化量(S),得出以下结论:(1)耕地和建设用地变化幅度较大,总体呈增大的趋势;林地和其他...     

Predicting soil depth in a large and complex area using machine learning and environmental correlations

Soil depth is critical for eco-hydrological modeling, carbon storage calculation and land evaluation. However, its spatial variation is poorly understood and rarely mapped. With a limited number of sparse samples, how to predict soil depth in a large area of complex landscapes is still an issue. This study constructed an ensemble machine learning model, i.e.,quantile regression forest, to quantify the relationship between soil depth and environmental conditions. The model was then combined with ...     

基于“三生”空间视角的中国农业文化遗产研究文献分析与评述

本研究基于"生产、生活、生态"的空间理论视角,揭示中国农业文化遗产"三生"空间人地关系的研究现状。以"农业文化遗产"为关键词,采用Citespace5.5文献计量分析工具和归纳方法,梳理了近年来中国农业文化遗产的研究成果,结果表明:2005—2020年中国农业文化遗产的研究经历了初步探索、波动增长、平稳发展三个阶段,各个阶段上的研究热点具有明显差异。目前中国农业文化遗产在景观价值挖掘、旅游开发、乡村振兴等领域的研究成果已初具规模,但在基础性理论方面尚未形成权威的认知。农业文化遗产在"三生"空间上的研究对于解决"三农"问题具有重要的实践意义,今后应更加关注基础理论的更新、强化实证研究、贯彻"分层"保护思维、完善社区参与、加快农业文化遗产地的评价指标体系构建和动态保护,以期实现农业文化遗产的高效利用及可持续发展。     

An aggregation index (AI) to quantify spatial patterns of landscapes

There is often need to measure aggregation levels of spatial patterns within a single map class in landscape ecological studies. The contagion index (CI), shape index (SI), and probability of adjacency of the same class (Qi), all have certain limits when measuring aggregation of spatial patterns. We have developed an aggregation index (AI) that is class specific and independent of landscape composition. AI assumes that a class with the highest level of aggregation (AI =1) is comprised of pixels sharing the most possible edges. A class whose pixels share no edges (completely disaggregated) has the lowest level of aggregation (AI =0). AI is similar to SI and Qi, but it calculates aggregation more precisely than the latter two. We have evaluated the performance of AI under varied levels of (1) aggregation, (2) number of patches, (3) spatial resolutions, and (4) real species distribution maps at various spatial scales. AI was able to produce reasonable results under all these circumstances. Since it is class specific, it is more precise than CI, which measures overall landscape aggregation. Thus, AI provides a quantitative basis to correlate the spatial pattern of a class with a specific process. Since AI is a ratio variable, map units do not affect the calculation. It can be compared between classes from the same or different landscapes, or even the same classes from the same landscape under different resolutions.