Time‐varying relationships between ocean conditions and sockeye salmon productivity

Environmental change is occurring at unprecedented rates in many marine ecosystems. Yet, environmental effects on fish populations are commonly assumed to be constant across time. In this study, I tested whether relationships between ocean conditions and productivity of North American sockeye salmon (Oncorhynchus nerka) stocks have changed over the past six decades. Specifically, I evaluated the evidence for non‐stationary relationships between three widely used ocean indices and productivity of 45 sockeye salmon stocks using hierarchical Bayesian models. The ocean indices investigated were the Pacific Decadal Oscillation (PDO), North Pacific Gyre Oscillation (NPGO), and sea surface temperature (SST). I found partial support for time‐varying salmon–ocean relationships. Non‐stationary relationships were strongest for the NPGO and weaker for the SST and PDO indices. Productivity–NPGO correlations tended to shift gradually over time with opposite trends for stocks in British Columbia (B.C.) and western Alaska; for B.C. stocks, the NPGO correlations shifted from significantly negative prior to 1980 to significantly positive after 1990, whereas for western Alaska stocks, the correlations shifted from positive to negative. Productivity–SST correlations showed declining trends for B.C. and Gulf of Alaska stocks, that is, correlations became more negative (B.C.) or less positive (Gulf of Alaska) over time. For the PDO, correlations weakened during the 1980s for western Alaska and B.C. stocks. Overall, these results provide evidence for time‐varying relationships between salmon productivity and environmental conditions over six decades, highlighting the need to recognize that historical responses of salmon populations to environmental change may not be indicative of future responses.     

Influence of larval transport and temperature on recruitment dynamics of North Sea cod (Gadus morhua) across spatial scales of observation

The survival of fish eggs and larvae, and therefore recruitment success, can be critically affected by transport in ocean currents. Combining a model of early‐life stage dispersal with statistical stock–recruitment models, we investigated the role of larval transport for recruitment variability across spatial scales for the population complex of North Sea cod (Gadus morhua). By using a coupled physical–biological model, we estimated the egg and larval transport over a 44‐year period. The oceanographic component of the model, capable of capturing the interannual variability of temperature and ocean current patterns, was coupled to the biological component, an individual‐based model (IBM) that simulated the cod eggs and larvae development and mortality. This study proposes a novel method to account for larval transport and success in stock–recruitment models: weighting the spawning stock biomass by retention rate and, in the case of multiple populations, their connectivity. Our method provides an estimate of the stock biomass contributing to recruitment and the effect of larval transport on recruitment variability. Our results indicate an effect, albeit small, in some populations at the local level. Including transport anomaly as an environmental covariate in traditional stock–recruitment models in turn captures recruitment variability at larger scales. Our study aims to quantify the role of larval transport for recruitment across spatial scales, and disentangle the roles of temperature and larval transport on effective connectivity between populations, thus informing about the potential impacts of climate change on the cod population structure in the North Sea.     

生乳储运条件对品质影响的探究

菌落总数是衡量生乳品质的重要指标之一。生乳中菌落总数基数越大,其品质越不稳定。但因为奶源产地等原因,生乳必须经过一段时间运输才能到达乳品企业进行生产,运输过程可能由于微生物繁殖导致生乳品质下降。试验选取菌落总数基数不同的两批生乳,通过在2~6 ℃和10~15 ℃条件下存放,模拟生乳在冷藏储运和脱冷储运状态下,分别储存24 h、48 h、72 h、96 h后进行菌落总数、酒精试验、酸度及脂肪酶活力检测。通过对比,找到生乳最佳储存温度和运输时间,为乳品企业和冷链运输提供参考。     

基于条件植被温度指数的夏玉米生长季干旱预测研究

为验证条件植被温度指数(VTCI)在夏玉米生长季干旱预测中的适用性,以河北中部平原为研究区,应用求和自回归移动平均(ARIMA)模型及季节性求和自回归移动平均(SARIMA)模型,对该地区VTCI时间序列数据进行分析建模预测。首先基于49个气象站点所在像素的VTCI时间序列数据,选取不同长度时间序列建立ARIMA模型,并分析时间序列长度与预测精度间关系,以期为时间序列长度选择提供依据;然后选择理想长度的VTCI时间序列数据,分别建立ARIMA模型和SARIMA模型,用于研究区域2017年夏玉米生长季VTCI预测,并分析评价两模型预测精度;最后采用性能较好的ARIMA模型逐像素建模预测,得到2016-2018年9月上旬至下旬VTCI预测结果。结果表明:基于ARIMA模型的VTCI预测精度与时间序列长度未呈现明显的相关关系,但随时间序列长度增加,模型预测精度逐渐趋于稳定;ARIMA模型对干旱的预测精度高于基于SARIMA模型,其1步、2步、3步VTCI预测结果均方根误差较SARIMA模型分别降低0. 06、0. 07、0. 09;ARIMA模型在不同年份夏玉米生长季VTCI1~3步的预测精度稳定性较好,2016-2018年1步、2步和3步VTCI预测结果绝对误差绝对值大于0. 20的像素平均百分比分别为5. 84%、6. 38%、8. 72%。     

阿拉善右旗近50年气温变化特征分析

本文通过整理右旗1969—2018年气温逐年气象观测资料，对右旗近50a平均气温年际变动、季节性变化趋势、突变特点展开研究。得出结论：50a来右旗温度呈0.39℃/10a的速度增加，在20世纪九十年代之后増温明显，且有显著的阶段性波动特点。季节性气温都是以不同速度在增加，春季平均气温增加发展趋势在四季中极为明显。由最高气温季节平均值可知，春季最大，其次秋季夏季冬季，由此可知，最低温度季节性均值是春季最大，其次夏季秋季冬季。年和四季平均最低气温的增加波动,使得平均气温日较差呈减小态势。     

Short-term spatiotemporal variation of soil CO2 emission,temperature, moisture and aeration in sugarcane field reform areas under the influence of precipitation events

Soil CO₂ emission (FCO₂) in agricultural areas results from the interaction of different factors such as climate and soil conditions. Our objective was to investigate the spatiotemporal variation of FCO₂, temperature (T_soil), moisture (M_soil) and air-filled pore space (AFPS), as well as their interactions, during the sugarcane field reform. The study was conducted on a 90 × 90 m sampling grid with 100 points at 10 m spacings. Ten assessments of FCO₂, T_soil and M_soil were carried out at each point over a 28-day period. The greatest mean values of FCO₂ (0.74 g m⁻² hr⁻¹) and M_soil (31.7%) were obtained on Julian day 276, 2013, being associated with precipitation events at the study site. Also, the smallest values of AFPS (19.17%) and T_soil (20.90°C) were observed on the same day. The spatial variability of FCO₂, T_soil, M_soil and AFPS was best described by an adjusted spherical model, although an exponential model better fitted some results. The spatial pattern of all soil attributes showed little temporal persistency, indicating a high complexity for FCO₂ during precipitation. Correlation maps assisted in identifying regions where M_soil and AFPS better controlled the emission process and where T_soil was important. A major challenge for world agriculture is to increase the efficiency of conventional soil management practices. We highlight the importance of the spatial pattern of soil properties that directly influence the CO₂ emission dynamics. Future mitigation actions should involve less intense tillage and ensure homogeneous applications of soil inputs, thereby reducing production costs and the contribution of these activities to CO₂ emissions during the sugarcane field reform.     

不同生育时期低温胁迫对水稻保护酶的影响

通过吉林省内外优质水稻品种为材料，分别在苗期、分蘖期、减数分裂期、灌浆成熟期进行低 温胁迫处理，并进行其生理特性研究。结果表明，低温胁迫下水稻的CAT、POD、SOD 酶活性均有所 增高，其中部分品种的SOD 酶活性整体较强，在各个时期均有所增幅，而CAT 和POD 酶活性在不同 时期存在品种差异，且分蘖期大部分品种的三种保护酶均有明显提升。本试验材料中，不同时期低温 胁迫下，通系935、龙稻18、吉粳816、绥粳14、延粳22、通35 的整体酶活性在各个时期表现优异，优于 其余品种。     

不同甘蔗品种对低温胁迫的生理响应及耐寒性综合评价

本研究以甘蔗的3个杂交品种（ROC22、Co281、KQ01-1390）和3个原种（28NG16、57NG155、96NG16）为供试材料,研究低温胁迫对成熟期蔗株的形态、叶片的质膜相对透性、蔗茎的渗透调节物质含量及抗氧化酶活性等指标的影响,并对6个品种甘蔗耐寒性进行评价。结果表明：经-3 ℃夜间低温处理3 d后,甘蔗植株均出现叶片干枯、卷曲,生长点损伤或坏死变黑,蔗茎侧芽发黑、变软等症状,纵剖蔗茎可明显看到茎内组织呈水煮状,蔗叶相对电导率上升,蔗茎丙二醛（MDA）、脯氨酸（Pro）含量和过氧化氢酶（CAT）活性均上升,蔗茎超氧化物歧化酶（SOD）和过氧化物酶（POD）活性下降。通过隶属函数法综合评价,6个甘蔗品种耐寒能力依次为：KQ01-1390>Co281>ROC22> 28NG16>57NG155>96NG16,可见供试材料中的甘蔗原种对低温胁迫反应敏感,耐寒性比杂交品种弱。     

亚精胺浸种对番茄种子萌发及幼苗高温抗性的影响

以番茄品种合作903为试验材料,设置0、0.1、0.2、0.4 mmol · L~(-1 )亚精胺(Spd)浸种10 h,研究不同浓度Spd浸种对番茄种子萌发、幼苗生长及高温抗性的影响。结果表明:不同浓度Spd浸种处理均能显著提高番茄种子的发芽指数和活力指数,幼苗地下部干质量和壮苗指数明显提高,其中0.2 mmol · L~(-1 )Spd浸种处理发芽最快,活力指数最高。Spd浸种处理降低了高温胁迫下番茄叶片的相对电解质渗透率、丙二醛(MDA)和H_2O_2含量,其中0.2 mmol · L~(-1 )Spd处理的相对电解质渗透率、MDA和H_2O_2含量最低;抗氧化酶(SOD、APX、DHAR)活性增加,并在0.2 mmol · L~(-1)时达到最大值。综上,0.2 mmol · L~(-1 )Spd浸种能有效促进番茄种子萌发和幼苗生长,提高番茄幼苗高温抗性。     

Thresholds,sensitive stages and genetic variability of finger millet to high temperature stress

Finger millet [Eleusine coracana (L.) Gaertn.] is an important coarse cereal crop grown in the arid and semi‐arid regions and often experiences high temperature (HT) stress. The objectives of this research were (i) to quantify effects of season‐long HT stress on physiological and yield traits, (ii) to identify the developmental stages most sensitive to HT stress and (iii) to quantify the genetic variability for HT stress tolerance in finger millet. Research was conducted in controlled environment conditions. HT stress decreased the chlorophyll index, photosystem II activity, grain yield and harvest index. Maximum decrease in number of seeds per panicle and grain yield per plant was observed when stress was imposed during booting, panicle emergence or flowering stages. Maximum genotypic variation was explained by panicle width and number of seeds per panicle at optimum temperature (OT) and grain yield per plant at HT and number of seeds at HT. Based on the stress response and grain yield, tolerant or susceptible genotypes were identified. Finger millet is sensitive to HT stress during reproductive stages, and there was genotypic variability among the finger millet genotypes for number of seeds per panicle and grain yield under HT, which can be exploited to enhance stress tolerance.