Distribution and diversity of leaf-cutting ants in Northeastern Argentina: species most associated with forest plantations

Abstract

Leaf-cutting ants (LCA) are considered one of the main herbivores and one of the most destructive pest insects of the Neotropics. Northeastern Argentina harbors the greatest species richness of these ants and in turn comprises the highest surface with forest plantations. Our aim was to establish which species of leaf-cutting ants are most commonly associated with forest plantations by analyzing their geographic distribution using published and unpublished species occurrence data. Also, estimate their potential areas of distribution along a latitudinal gradient that entirely encompasses northeastern Argentina using Ecological Niche Modeling. Only seven of the 20 species recorded were strongly associated with productive systems along the gradient, but only 2–3 species in each region could be considered high-risk species for forest plantations. High-risk species composition shows a turnover between regions. Our models show the potential distribution areas where LCA could become more abundant and dominant, and possibly causing a detrimental effect on the forest plantations in the studied region. We find that ecological niche models are useful tools to assess the environmental suitability of important LCA.     

浙江省油菜花期降水量风险评估

对浙江省66个县市(区)1971—2014年油菜花期降水量及油菜产量资料进行统计分析,并基于信息扩散的风险评估模型,对浙江省油菜花期降水量在各级降水量下的超越概率进行计算分析,评估各地油菜花期面临的旱涝风险;同时分析了浙江省油菜花期各级降水量风险值与油菜产量变化之间的关系。结果表明:油菜花期降水量严重过剩的风险高值区主要位于浙西南地区,降水量短缺风险高值区主要位于浙江省沿海岛屿及宁波的部分县市;浙江省油菜花期降水量短缺基本可以通过灌溉得到改善,但油菜减产与花期降水量过多显著相关,油菜花期降水量300 mm是油菜是否减产的阈值。该结果可为油菜种植合理布局及农业保险政策提供科学依据。     

Prevention and Controlling Effect of Intercropping on Pests and Diseases and Its Risk Control in Cotton Fields

Cotton is one of the major field crops which are seriously threatened by pests and diseases. In recent years, the ecological management of cotton pests and diseases with intercropping has become to be an interesting approach. Intercropping possibly increases the population of natural enemies and finally reduces the population density of pests as a result of changes in ecological structure and environmental conditions of farmland. Intercropping thus has been considered an important alternative in controlling pests and diseases. However, cotton field intercropping also has some limitations in controlling pests and diseases. Unreasonable intercropping system has many risks such as increasing labor input, increasing the difficulty of pests’ control, and aggravating pests and diseases. In this paper, the effects and the underlying mechanisms of cotton intercropping on cotton pests and diseases were reviewed. The possible risks and countermeasures used for ecological control of intercropping were also put forward, and the future and application of ecological management of cotton pests and diseases with intercropping were prospected.     

Assessing the utility of topographic variables in predicting structural complexity of tree stands in a reforested urban landscape

The transformation of natural landscapes into impervious built-up surfaces through urbanization is known to significantly interfere with the ecological integrity of urban landscapes and accelerate climate change and associated impacts. Although urban reforestation is widely recognised as an ideal mitigation practice against these impacts, it often has to compete with other lucrative land uses within an urban area. The often limited urban space provided for reforestation therefore necessitates the optimization of the ecological benefits, which demands spatially explicit information. The recent proliferation of tree stands structural complexity (SSC) and topographic data offer great potential for determining the ecological performance of reforested areas across an urban landscape. This study explores the potential of using topographic datasets to predict SSC in a reforested urban landscape and ranks the value of these topographic variables in determining SSC. Tree structural data from a reforested urban area was collected and fed into a tree stand structural complexity index, which was used to indicate ecological performance. Topographic variables (Topographic Wetness Index, slope, Area Solar Radiation and elevation)- were derived from a Digital Elevation Model (DEM) and used to predict SSC using the Partial Least Squares (PLS) regression technique. Results show that SSC varied significantly between the topographic variables. Results also show that the topographic variables could be used to reliably predict SSC. As expected, the Topographic Wetness Index and slope were the most important topographic determinants of SSC while elevation was the least valuable. These results provide valuable spatially explicit information about the ecological performance of the reforested areas within an urban landscape. Specifically, the study demonstrates the value of topographic data as aids to urban reforestation planning.     

不同播期对黄秋葵长势、抗病性和产量的影响

为在河北省推广种植黄秋葵,在安国、保定、邯郸、衡水和石家庄5个试验点进行黄秋葵分期播种试验,研究了不同播期对石秋葵1号、红玉和五福3个品种生长势、抗病性和产量的影响。结果表明:播期对石秋葵1号、红玉和五福生长势、抗病性和产量具有较大的影响,随着播期的推迟,3个品种的茎粗大致呈逐渐增高的趋势,株高呈先降后升的趋势(除2018年的红玉外),单株结果数则先增加后减少,单果质量(除五福外)逐渐增大;以4月20日、25日和30日为播期,得到的黄秋葵单株产量和折合667 m~2产量较高。综合得出,河北省黄秋葵种植以4月20日、25日、30日为播期最为适宜。     

基于CLIMEX和ArcGIS的灰茶尺蠖在中国的潜在适生区预测

基于中国820个气象站点数据、灰茶尺蠖已知地理分布资料和生物学数据,结合CLIMEX模型与ArcGIS软件模拟预测灰茶尺蠖在中国目前及未来的潜在分布范围,评估灰茶尺蠖的潜在分布范围及气候变暖对其分布的潜在影响。结果表明,灰茶尺蠖在中国目前的适生区主要分布在3°51′N~40°6′N,适生区面积占全国总面积的34.27%。中国大部分省份的气候条件均适合灰茶尺蠖种群生长。随着气候的变化,灰茶尺蠖在中国的潜在适生区面积总体增幅不大,但其组成变化较大。至2050年,预测灰茶尺蠖高度适生区面积占比达最大（22.23%）。相比各种能源之间的平衡情景（A1B）,较高能源需求情景（A2）下灰茶尺蠖在陕甘宁地区向内陆扩张更快。灰茶尺蠖在中国适生区分布广泛,应加强灰茶尺蠖预测预报,趁早采取防控措施,以保障茶叶优质安全生产。     

我国典型茶区化学氮肥施用与生产运输过程的温室气体排放量估算

基于相关统计数据和文献调研方法,估算了我国14个典型茶区中化学氮肥施用、生产及运输过程中的温室气体排放量。结果表明,化学氮肥施用导致的土壤N₂O直接排放和生产过程中的温室气体排放是茶园化学氮肥消费带来的温室气体主要排放源;14个典型茶区消费的化学氮肥产生的温室气体排放量(以CO₂排放当量计算)为16.81~344.80万t·a^-1,其中贵州、云南、湖北和四川4省的茶园消费的化学氮肥带来的温室气体排放量较高,均超过200万t·a^-1,占全部区域温室气体排放量的59.98%;单位面积温室气体排放量为3.22~9.76 t·hm^-2·a^-1,单位产量温室气体排放量为2.10~12.96 t·t^-1·a^-1、单位产值温室气体排放量0.39~1.90 t·万元^-1·a^-1;总体而言,贵州、云南、湖北、湖南和四川5省的茶园消费的化学氮肥带来的温室气体排放量、单位面积温室气体排放量、单位产量温室气体排放量和单位产值温室气体排放量较高,福建、河南省及重庆市3个茶区相对较低。在茶园化学氮肥施用量控制为300 kg·hm^-2和450 kg·hm^-2两种情景下,茶园生态系统温室气体减排总量为617.07万t·a^-1和228.94万t·a^-1,减排潜力为34.12%和12.66%,减排潜力较大的区域主要有湖北、四川、贵州、湖南和江西等5省。     

武威市畜禽粪污土地承载潜力分析

为评估武威市畜禽养殖粪污土地承载潜力,本文按照以地定畜、种养平衡的原则,从畜禽粪污养分供给和土壤粪肥养分需求的角度出发,科学测算了武威市近三年畜禽粪污养分供给量和本区域植物粪肥养分需求量,分析武威市各县区畜禽粪污土地理论承载力和实际承载力差距,推算出潜在承载力,为政府决策、部门制定畜牧业发展规划提供依据。     

秸秆还田深度对土壤温室气体排放及玉米产量的影响

【目的】秸秆还田是培肥地力、增加土壤有机质和改善土壤结构的重要技术手段,但以往的研究表明秸秆还田会加速土壤温室气体的排放。本研究通过对秸秆不同还田深度下农田土壤温室气体排放特征和产量的研究,明确降低温室气体排放量的最佳还田深度,以期为合理利用秸秆、提高作物产量,实现农业可持续发展提供科学依据。【方法】采用大田微区试验,以玉米为供试作物,设置4个还田深度,采用静态箱-气相色谱法测定整个玉米生长季不同还田深度下温室气体（CO₂、CH₄、N₂O）的排放特征,产量及产量构成因素。试验共设5个处理,还田深度分别为0—10 cm（T1）、10—20 cm（T2）、20—30 cm（T3）和30—40 cm（T4）,同时以不还田处理作为对照（CK）。【结果】（1）在整个玉米生长季CO₂和N₂O均表现为排放,CH₄表现为吸收。CO₂累积排放量为T3处理最高,较CK显著增加了28.6%,T4处理增加最少,较CK显著增加了17.1%（P<0.05）,但T1与T4处理之间差异不显著;而N₂O的累积排放量T2处理为最高,与CK相比,累积排放量显著增加111.3%,T4处理增加最少,与CK相比显著增加了12.8%（P<0.05）;CH₄则表现为吸收,且秸秆还田后降低了农田土壤对CH₄的吸收能力,吸收量表现为CK处理>T4处理>T3处理>T1处理>T2处理,且各还田处理与CK之间差异显著（P<0.05）。（2）秸秆不同还田深度下,与对照相比,各处理玉米产量均显著增加,增产在5.6%—20.8%（P<0.05）,但各处理之间的穗长、穗粗和行粒数差异不显著。当秸秆还至30—40 cm时,产量最高,较CK增加了20.8%,表明秸秆还田对提升土壤肥力及作物增产有重要作用。（3）从温室气体综合增温潜势（GWP）和温室气体排放强度（GHGI）来看,在100年尺度上,GWP表现为T2处理>T3处理>T1处理>T4处理>CK处理,而GHGI表现为T2处理>T3处理>T1处理>CK处理>T4处理,表明与CK相比,各处理均增加了玉米季温室气体的综合增温潜势,而T4处理则降低了玉米季温室气体排放强度,说明秸秆深还至30—40 cm可在一定程度上缓解全球增温潜势。【结论】秸秆还田会显著增加CO₂和N₂O排放,降低对CH₄的吸收能力;秸秆深还至30—40 cm可相对降低综合增温潜势,降低温室气体排放强度,同时显著增加玉米产量。因此,为实现较高的玉米产量和较低的温室气体排放强度,秸秆深还至30—40 cm是较为合理的土壤改良培肥方式。