呼伦贝尔市2011年大豆生长季气候影响分析

2011年呼伦贝尔市大豆种植62.62万hm2,比2010年增加4.68万hm2。通过2011年气候资料的统计分析,得知在大豆生长季气温稍低,降水正常或局部偏多,大部分地区光照偏少,光、水、热匹配较好,尤其是水分条件对需水较多的大豆生长较为有利。     

Soil water recharge in a semi-arid temperate climate of the Central U.S. Great Plains

The amount of soil water at the beginning of the growing season has a large impact on crop yields in rainfed agriculture, especially in semi-arid regions and in years with below-average rainfall in more humid climates. Robust algorithms are needed to estimate soil water storage before planting to aid crop management decisions. The main objectives of this paper are to investigate soil water recharge during the non-growing season (October 20 to May 1) in a semi-arid, temperate ecosystem in south-central Nebraska (USA) and to evaluate empirical models to estimate soil water content at the beginning of the summer-crop growing season. A database of soil water content measurements collected over 5 years at nine locations in south-central Nebraska was used to estimate available water-holding limits in the soil profile and to determine the change in available soil water during the non-growing season. Regression analysis was performed to analyze the relationship among soil water recharge, residual soil water (i.e., soil water content at the end of the previous growing season), total precipitation, and available water-holding capacity (AWHC) in the root zone to 1.5 m. Precipitation storage efficiency (PSE) was calculated as the quotient of soil water recharge and total non-growing season precipitation. Predictive models to estimate soil water content at the beginning of summer-crop growing season were derived from these analyses. A large portion of the variation in soil water recharge was explained by residual soil water and precipitation. PSE averaged 28% across site-years; low PSE values were associated with high residual soil water and/or low AWHC. Two predictive models (linear and linear-plateau) that used residual soil water, total precipitation, and AWHC as independent variables explained 75-80% of the variation in the measured soil water content at the beginning of the summer-crop growing season. These empirical models represent a new tool to estimate soil water content by planting date of summer crops. Site-management conditions such as residue amount and its architecture, tillage system, soil texture, and terrain slope are not currently accounted for in these models and would likely improve predictive capacity.     

From shallow to deep waters: habitats used by larval lampreys (genus Petromyzon and Lampetra) over a western European basin

Abstract –  Habitat requirements of lamprey ammocoetes (Petromyzon marinus and Lampetra genus) were investigated, for the first time, from shallow to deep waters, at different spatial scales across the Gironde‐Dordogne continuum, thanks to a water suction dredge. Fish‐habitat relationships were assessed through two complementary statistical analyses: habitat‐use curves and habitat suitability models using the Boosted Regression Trees (BRT) technique. Analyses were performed on a small‐size data set that was characterised by the low prevalence of lamprey. The sea lamprey larvae occurred in deeper areas than their Lampetra genus counterparts. ‘Pools’ of 2 m’ depth and more were optimal habitats for the former species. Among the environmental variables retained to model lamprey occurrences, the mesohabitat (a categorical variable) was demonstrated to be highly influential, in terms of fine grain‐size substratum and vegetation cover. These preliminary results suggest that monitoring using the water suction dredge method may contribute to sea lamprey conservation.     

Simulated rain addition modifies diurnal patterns and temperature sensitivities of autotrophic and heterotrophic soil respiration in an arid desert ecosystem

The timing and magnitude of rainfall events in arid and semiarid regions are expected to change dramatically in future decades, which will likely greatly affect regional carbon cycles. To understand how increases in rainfall affect the diurnal patterns and temperature sensitivities (Q₁₀) of soil respiration (R_S) and its key components (i.e. heterotrophic respiration (R_H) and autotrophic respiration (R_A)), we conducted a manipulative field experiment in a desert ecosystem of Northwest China. We simulated five different scenarios of future rain regimes (0%, 25%, 50%, 75% and 100% increase over local annual mean precipitation) each month from May to September in 2009. We measured R_S and R_H every three hours on 6 and 16 days after the rain addition, and estimated R_A by calculating the difference between R_S and R_H. We found that rain addition significantly increased the daily mean R_S and its components on the two measurement days during the growing season. However, the diurnal pattern was different between the two respiration components. Rain addition significantly increased the daily Q₁₀ value of R_H but suppressed that of R_A on Day 6. Rain addition had no influence on daily Q₁₀ value of both respiration components on Day 16 when soil moisture was lower. In addition, we observed significantly higher daily Q₁₀ of R_H than R_A under all five rain addition treatments, indicating that microbial respiration is more temperature sensitive than root respiration in a short-time scale in this desert ecosystem. Thus, partitioning soil respiration into its two components, and analyzing the differential responses of R_H and R_A to future climate changes should be considered for more accurate predictions of soil respiration and regional carbon cycle in these arid and semiarid regions.     

Breeding for Improved Oil Quality in Brassica Oilseed Species

Abstract

Oil quality in vegetable oils is determined by both nutritional and functional aspects, which are, in turn, primarily determined by the fatty acid profile (i.e., fatty acid composition) of the oil. The naturally occurring fatty acid composition of Brassica oils has been extensively modified using conventional plant breeding and biotechnology-based techniques to create unique and improved quality vegetable oils. New Brassica cultivars displaying a wide range of edible oil qualities have been developed, and commercialized in recent years. Improved Brassica cultivars which produce an industrial oil have also been developed and commercialized in the last two decades. World vegetable oil markets are highly competitive, so the steady improvement in oil quality of the Brassica oilseeds is essential to maintain or increase market share, and/or to create new niche markets. The main challenges facing Brassica oilseed breeders are (1) to determine the desirable fatty acid profiles of the oil for each end-use market application to create improved oils and (2) to quickly develop improved Brassica cultivars which can produce the new fatty acid profile oils at competitive prices.     

1960-2017年长武县气候变化特征分析

通过利用长武县气象局1960-2017年近58a降水和气温的观测数据,运用线性回归、滑动平均、Mann-Kendall突变检验等研究方法,初步研究了长武县近58a来气温和降水变化特征。结果显示：(1)在1960-2017年58a间,长武县年均温明显升高,增长速率为0.18℃/10a,并在2004年发生趋势性突变,最冷月、最热月的平均气温都显著上升,分别以0.13℃/10a和0.06℃/10a的速率在增暖。(2)在1960-2017年58a间,长武县年降水量明显下降,下降速率为4.31mm/10a,未发生趋势性突变,汛期降水量整体呈波动上升趋势,上升速率为3.65mm/10a,汛期降水量很大,约占年降水量的82%。     

1973-2022年广昌县气候变化趋势分析

基于1973至2022年广昌县域气温、降水量以及日照时数地面气象观测数据,通过线性气候倾向率分析、M-K突变检验分析以及滑动T检验分析方法,对过去50年广昌县域气候变化趋势进行分析。结果表明,近50年广昌县域年际平均气温呈显著性上升趋势,上升率为0.28℃/10a,且2001年为突变年;年际累计降水量呈非显著性下降趋势,下降率为-1.56mm/10a;年际总日照时数呈非显著性下降趋势,下降率为-35.49h/10a;因此今后赣中地区应注意加强高温干旱、暴雨洪涝等自然灾害的防御。     

近50年黄河流域气温和降水量变化特征分析

利用黄河流域54个气象站点1961-2010年气象数据,探讨近50a黄河流域气温和降水量的变化趋势特征。结果表明:(1)黄河流域年降水量变化具有明显的空间差异,总体表现为上游地区增多、中游地区减少的特点。春季上游降水量呈显著增加趋势,秋季中游显著减少,冬季全流域降水量均呈显著增加趋势,其中下游增幅最大。年内降水量显著增加的时段主要集中在1-3月和12月;(2)黄河流域气温变化呈显著升高趋势,平均最高气温和最低气温变化具有明显的不对称性,平均最低气温变化对平均气温升高的贡献率大于平均最高气温。平均最高气温、平均气温和平均最低气温全流域均表现为冬季增幅最大,夏季和秋季则为流域上游增幅最大。月平均气温显著增加的站点比例最高,月最高气温显著增加的站点比例最小,且均集中在2月。(3)全流域冬季出现暖湿化趋势,春季上游出现暖湿化趋势,而秋季中游出现暖干化趋势。     

1981-2009年江苏省气候变化趋势及其对水稻产量的影响

利用江苏省1981-2009年7个农业气象站点的气象和水稻物候、产量资料,从平均气温和降水量对水稻产量影响的基本方程入手,定义了平均气温和降水量变化趋势对水稻产量趋势的贡献率,揭示江苏省近30a气候变化趋势对水稻产量的影响.结果表明,近30a来,江苏省水稻全生育期平均气温和最低气温呈上升趋势,最高气温的变化在苏南和苏北地区差异较大,尤其在开花-成熟阶段,苏南地区呈上升趋势,而苏北地区则呈相反变化趋势.气温(包括平均气温、最低气温和最高气温)与水稻产量呈正相关,1981-2009年平均气温升高对江苏省水稻产量影响的平均值约为1.2％,对产量趋势的贡献率约为30.0％.降水量的变化趋势不明显,降水量与水稻产量的相关性亦不显著,说明在研究区内降水量的变化对水稻产量的影响较小.总体上,江苏省近30a气候变化有利于水稻生产.     

作物生态适宜性定量化评价方法及通用工具

该文研究了作物生态适宜性定量化评价方法。针对环境适宜程度的量化问题,提出了四基点生态距离计算方法,模拟了限制性因素及一般性因素的区别;在评价结果分级中,提出了二次阈值方法,将生态学意义清晰与不清晰的部分进行分离;提出了作物生态适宜性评价过程的数字化表达方法。在以上3项工作的基础上,研发了作物生态适宜性评价工具软件。以北京市冬小麦适宜性评价为例进行了应用,结果表明该评价方法和工具可以容纳主要的评价因子及主流的评价算法,具有实用性。