福建赤红壤旱地与红壤旱地水分特性的比较

释放80%的有效水时赤红壤旱地的t值（当释放的土壤有效水占有效水库容的比率为80%时的土壤水吸力值）较小,表明赤红壤旱地持水性较红壤旱地更差,植物更容易受到干旱的协迫。赤红壤旱地贮水库容比红壤旱地小,赤红壤旱地的比水容量达到10-2数量级（难效水）在-10kPa~-30kPa就开始出现,而红壤旱地出现在-30kPa以下,表明赤红壤旱地的失水速度快,保水供水性能弱于红壤旱地。最后,讨论了影响旱地土壤水分性质的因素。     

雪松聚球藻对重金属镉的抗性和解毒作用

培养液中不同浓度（c）的重金属镉（Cd）对雪松聚藻（Synechococcuscedrorum）有相当的致毒作用,当c（Cd）＞2μmol／L时,藻体的生长和光合作用均明显受到抑制,c＞10μmol／L时,藻细胞出现解体,光合放氧量几近0,然而,当按梯度逐级提高培养基中c（Cd）时,雪松聚球藻则相应产生对有毒金属Cd的抗性,在即使c（Cd）达20μmol／L的培养基中亦生长良好．为探讨该藻对重金属致毒的抗性产生机理及其解毒作用,对藻体蛋白和胞内Cd进行了分离检测,结果表明：Cd在进入藻细胞后,与胞内多肽结合形成一种大分子量的色素蛋白复合体,和一种低分子量的金属结合蛋白,特别是后一种蛋白在藻细胞中的含量明显受外界Cd的诱导,并起解毒作用．     

山东沿海的9216号台风暴潮灾害

在１９９２年第１６号强热带风暴和天文大潮的作用下，山东沿海发生了特大风暴潮灾害，直接经济损失４３．５亿元，死亡７６人；砂质海岸遭受强烈侵蚀，损失土地约１４５．３ｈａ。     

硫铁矿烧渣制取铁红

研究了以硫铁矿烧渣为原料制备铁红的工艺过程及原理,详细探讨了合成反应的各种影响因素及煅烧工艺条件。采用该工艺可使烧渣中氧化铁浸出率达92％,铁红纯度达96．5％。铁红产品质量符合GB1863-89一级品标准。     

红壤立体栽培模式中玉米氮、磷、钾配方施肥数学模型的研究

采用氟、磷、钾化肥三因素通用旋转组合设计，通过计算机模拟寻优，建立了湘南砂岩红壤玉米－大豆立体栽培模式中玉米施肥量－产量、玉米施肥量－利润数学模型；优选出玉米产量和利润最高的各10套施肥方案；计算出玉米最高产量的施肥量为：尿素750kg／hm2，过磷酸钙1125kg／hm2，氯化钾332kg／hm2，N∶P2O5∶K2O＝1∶0.39∶0.58；计算出玉米最佳经济效益施肥量为：尿素712.8kg／hm2，过磷酸钙1125kg／hm2，氯化钾285.2kg／hm2，N∶P2O5∶K2O＝1∶0.41∶0.52．玉米与大豆的产量间以及两者的利润间均呈极显著正相关．     

Florida red bay (Persea borbonia) leaf extracts deter oviposition of a sympatric generalist herbivore, Papilio glaucus (Lepidoptera: Papilionidae)

Summary. The ability to perceive and respond to phytochemicals that reliably indicate poor suitability of a potential host plant confers a selective advantage to ovipositing female swallowtail butterflies. Papilio glaucus females are generalists that nonetheless do not oviposit on red bay (Persea borbonia: Lauraceae). Red bay is toxic to P. glaucus neonates but is commonly found in habitats alongside their principal host plant, Magnolia virginiana, in central Florida. The hypothesis that deterrent compounds present in the leaves of red bay mediate its rejection by P. glaucus was evaluated in our study. Florida populations of P. glaucus did not oviposit on host leaves sprayed with the methanol extract of red bay foliage, although they accepted solvent-treated and untreated tulip tree leaves in 3 choice bioassays. Additionally, tulip tree leaves sprayed with methanolic extracts of red bay also deterred oviposition by P. glaucus females from Ohio, Kentucky and Pennsylvania, although these populations do not naturally encounter red bay. Clearly, deterrent compounds found within this non-host are the basis of its rejection by populations of P. glaucus and such recognition is fundamental to the species, not just a reflection of local adaptations. Received 2 April 1999; accepted 11 June 1999.     

红壤中交换性铝调控条件的研究Ⅱ.有机质和CaCO_3对交换性铝的影响

研究了有机质和ＣａＣＯ３。对发育于花岗岩和第四纪红色粘土母质上的红壤的交换性铝的影响。结果表明,在用Ｈ２Ｏ２去除土壤中的有机质后,交换性铝的含量随有机质的降低而降低,但降低的速度不均匀,由慢到快似有一个“突跃”。而在向土壤中添加有机质的研究结果则表明,交换性铝的含量随有机质的增加而增加;在增加的过程中由快到慢,达到极点后,有机质含量再增加,交换性铝反而下降。在相同的土壤环境中,由于作物品种不同,施用等量的ＣａＣＯ３（或石灰粉）对土壤交换性铝的含量及作物产量的影响不同,而且差异显著。     

施用石灰对酸性土壤中氧化亚氮形成的影响

对酸性红壤施用石灰和N2O生成之间的关系进行了探讨。结果表明,在好气条件下,石灰的施用与NH4＋氧化过程中N2O的产生量之间的关系不明显。但随着石灰施用量的增加,厌气条件下NO3－还原过程中N2O的积累量明显增加了,这与施用石灰后土壤pH升高而提高了硝酸还原酶活性有关。试验还表明,尽管在厌气条件下土壤pH较高有利于NO3－还原成NO2－,但当缺乏有效碳源时,NO2－向N2O的进一步还原受到限制,易发生NO2－的积累。     

淡水水体溶解有机氮对有毒藻种的生物有效性

溶解有机氮（Dissolved organic nitrogen,DON）是多数天然水体中溶解氮的主要组成部分。天然水体DON是许多微生命体包括有毒藻种的氮营养源,在供水安全以及水体富营养化等方面的生态环境效应不容忽视。文章系统地介绍了淡水水体DON含量与来源、生物有效性与估算方法,以及对有毒藻种生长的影响。DON的来源是影响水体中DON含量动态特征的关键因素。DON来源包括陆地径流,植物碎屑,土壤淋溶液,沉积物释放,大气沉降,藻类、大型植物、细菌与细胞死亡或自我分解,微型及大型浮游动物捕食和排泄、分泌物释放等。研究表明约有12％～72％的DON可迅速被生物所利用,具显著差异,究其原因可能是其来源组成、化学本质（分子质量与极性）、测试生物组成、是否有细菌作用等因素造成的。不同藻种具有不同氮源利用能力,DON对藻类生长具有直接或间接的作用,并可能影响藻类群落结构（有毒藻类成为优势种）。考虑到水环境保护与饮用水安全供水的重要性,未来研究应重视淡水水体DON生物有效性与其化学本质的揭示,尤其是对有毒藻种。     

Metrics for quantifying how much different threats contribute to red lists of species and ecosystems

Red lists are a crucial tool for the management of threatened species and ecosystems. Among the information red lists provide, the threats affecting the listed species or ecosystem, such as pollution or hunting, are of special relevance. This information can be used to quantify the relative contribution of different threat factors to biodiversity loss by disaggregating the cumulative extinction risk across species into components that can be attributed to certain threats. We devised and compared 3 metrics that accomplish this and may be used as indicators. The first metric calculates the portion of the temporal change in red list index (RLI) values that is caused by each threat. The second metric attributes the deviation of an RLI value from its reference value to different threats. The third metric uses extinction probabilities that are inferred from red list categories to estimate the contribution of a threat to the expected loss of species or ecosystems within 50 years. We used data from Norwegian Red Lists to test and evaluate these metrics. The first metric captured only a minor portion of the biodiversity loss caused by threats because it ignores species whose red list category does not change. Management authorities will often be interested in the contribution of a given threat to the total deviation from the optimal state. This was measured by the remaining metrics. The second metric was best suited for comparisons across countries or taxonomic groups. The third metric conveyed the same information but uses numbers of species or ecosystem as its unit, which is likely more intuitive to lay people and may be preferred when communicating with stakeholders or the general public.