蚯蚓对湿地植物光合特性及净化污水能力的影响

以香蒲、芦苇和美人蕉为研究对象,并以土壤+沙子+有机质混合物为供试基质模拟人工湿地处理污水,采用向基质中加入蚯蚓与未加入蚯蚓2种处理。研究加入蚯蚓后,香蒲、芦苇和美人蕉光合速率、蒸腾速率、SPAD值和水分蒸发、蒸腾量的变化及其对净化污水能力的影响。结果表明:与未加入蚯蚓相比,加入蚯蚓后,香蒲、芦苇和美人蕉的净光合速率、蒸腾速率、SPAD值和水分蒸发、蒸腾量均增加,其中芦苇的净光合速率、蒸腾速率和水分蒸发、蒸腾量增加达到显著水平(P <0.05),而香蒲的水分蒸发、蒸腾量增加也达到显著水平(P <0.05);加入蚯蚓后,香蒲、芦苇和美人蕉对COD_Mn、NH₄⁺-N、NO₃^--N、TN和TP的去除率均增加,且香蒲和芦苇对COD_Mn的去除率显著增加 (P <0.05)。加入蚯蚓后,香蒲、芦苇和美人蕉的SPAD值均增加,说明蚯蚓能提高湿地植物对氮的吸收,增加植株中的氮含量,促进湿地植物的光合速率和蒸腾速率从而提高对污水的净化能力。     

A Test of Diversity–Productivity Models in Natural,Degraded, and Restored Wet Prairies

Conceptual restoration models depict strong correlations between structure and function, with both decreasing as an ecosystem is degraded and increasing during restoration. We evaluated the “linear” and “asymptotic” models by measuring diversity and annual net primary productivity (NPP) within four states of a southern Wisconsin floodplain: a remnant (unplowed) wet prairie, two degraded sites (soybean field and invaded prairie), and a restored prairie. Neither model fit our data for aboveground (ANPP), belowground (BNPP), or total (TNPP) productivity. ANPP declined as species richness increased (r = 0.998, df = 2), with highest values for soybeans (1,024 g/m²; two species in 30 0.25‐m² plots) and invaded prairie (937 g/m²; nine species, 99% cover of Phalaris arundinacea), intermediate for restored prairie (712 g/m²; 28 species), and lowest for diverse remnant prairie (571 g/m²; 36 species). In contrast, BNPP was lowest for soybeans (225 g/m²) and highest for remnant prairie (571 g/m²). TNPP in restored prairie (990 g/m²) matched that of the remnant (1,147 g/m²) within 7 years, but root:shoot NPP ratios were quite different (0.39 and 0.99, respectively). Overall, results suggest that the relationship between species diversity and productivity can differ with the component measured (ANPP, BNPP, or TNPP) and that diversity does not ensure high productivity. Because measuring ANPP does not fully test ecosystem‐function theory, we recommend assessing BNPP and additional ecosystem processes in future attempts to determine whether adding species will restore more function to degraded ecosystems.     

Using Landsat images to map habitat availability for waterbirds in rice fields

Rice fields are an important habitat for waterbirds. Knowledge of the availability of this habitat is important since the reduction in the area of natural wetlands has converted rice fields into vital refuges. This paper presents a method for mapping habitat availability in rice fields according to different waterbirds’ habitat preferences and examining its phenology during the crop cycle. Data from bird censuses carried out in the Doñana rice fields were analysed to determine the habitat preferences of 22 species of waterbird at different stages in the rice production cycle. Discriminant function analysis of seven Landsat images was used to classify paddy field stages. The phenology of habitat availability in rice fields during autumn and winter was examined. Waterfowl and waders preferentially used the ‘flooded’ and ‘mudflats with water’ paddy field stages, respectively, and the ‘rice growing’ and ‘dry’ stages were rejected by waterbirds. The area of preferred habitats within rice fields increased during autumn; subsequently, the area of the ‘flooded’ paddy fields decreased in January, whereas that of ‘mudflats with water’ remained available until March. The automatic classification of paddy field stages with Landsat images allowed habitat availability for different species of waterbirds to be monitored and provides relevant information for understanding behavioural and population responses in waterbirds that use rice fields. After examining the phenology of the availability of habitat and comparing it with dates of arrival and departure of migrant waterbirds, best crop practices could be defined to favour waterbirds (i.e. adjusting harvest, ploughing and flooding dates). Taking into account climatic change and loss of wetlands this method could help in the integration of agriculture and conservation, in particular in areas where there is no remaining natural wetland habitat.     

中国湿地物种多样性与生境面积关系及其生态学机理的模拟研究

生物群落中的物种多样性是群落生态学研究的一个基本问题。大量的实验研究表明物种多样性和生境面积的常数次幂成比例,这说明它们的对数数量级呈线性正相关。我们研究了中国境内15块湿地的高等植物和32块湿地鸟类多样性,发现它们分别和湿地面积在对数尺度上呈线性正相关．进一步支持了种数与面积的幂指数关系。我们还借助计算机模拟系统地讨论了产生这种简单规律的生态学机理,包括中性理论、集合种群动态和物种分布的自相似性。中性理论假设了群落中物种的个体之间只有竞争关系,忽略了其它的种间关系。集合种群动态理论考虑的是由多个亚群落构成的集合群落,在研究种数和面积关系时也忽略了种间关系,所以也是中性的。尽管物种分布的自相似性可导致这种面积幂指数关系,但在自然界中自相似性也可能不成立。     

西部高寒湿地系统的草地资源保护与优化利用模式研究

西部高寒湿地系统的草地资源保护与优化利用问题,是我国生态环境建设中倍受重视的科学问题。本研究以甘南的高寒湿地为研究对象,分析了高寒草地资源变化的时空分布特征及其在环境条件影响下的增长动态,采用生物控制论方法,组建了草地资源保护模型及草地放牧系统的最优控制模型。依据在甘南玛曲县高寒草地的调查结果,分别对其山地草原化草甸、山地典型草甸和沼泽草甸等草地资源的利用,建立了相应的保护指标。确定了该草地放牧系统的最优牧草资源水平和最优控制量,提出了草地资源优化利用的管理对策与措施,为草地放牧管理提供了优化模式和定量依据。     

扎龙芦苇湿地生长季的甲烷排放通量

为研究高寒地区天然淡水芦苇湿地的甲烷排放特征,采用静态箱-气相色谱法,测定了扎龙不同水位芦苇湿地生长季的甲烷排放通量.结果表明:观测期内,扎龙芦苇湿地甲烷排放通量平均为7.67 mg·m^-2·h^-1（-21.18～46.15 mg·m^-2·h^-1）,其中深水区(平均水深100 cm)和浅水区(平均水深25 cm)的平均甲烷排放通量分别为5.81和9.52 mg·m^-2·h^-1,排放峰值分别出现在8月和7月,最低值均出现在10月.深水区夏季(6-7月)的甲烷排放通量显著低于浅水区,而春(5月)、秋(8-10月)季节显著高于浅水区.生长季甲烷排放通量的变化为夏季>秋季>春季;昼夜排放量为12:00和14:00最高,0:00最低.温度和水位是高寒地区淡水芦苇湿地甲烷排放通量变化的主要影响因子.     

高浓度臭氧对大豆生长发育及产量的影响

采用开顶式同化箱(open-top chambers,OTCs)装置,设置活性碳过滤大气(CF,［O₃］<10 μg·kg^-1)和高臭氧(O₃)浓度(HO,约为80 μg·kg^-1)两个处理,研究开花后高浓度O₃对大豆农艺性状、叶面积、叶绿素、抗氧化系统与产量的影响.结果表明： 与对照(CF)同期相比,HO处理植株的叶面积和叶绿素含量显著降低(P<0.05);过氧化物酶、过氧化氢酶和超氧化物歧化酶活性极显著增强(P<0.01),但随着处理时间的延长,其活性逐渐降低;HO处理下植株叶片中可溶性蛋白质和抗坏血酸(AsA)含量降低,丙二醛含量显著升高,表明膜脂过氧化进程加快;大豆的单株干物质量、有效结荚数、籽粒数、百粒重和产量都有所降低,其中产量降低了47%,差异达极显著水平(P<0.01).     

科尔沁沙地不同地形小叶锦鸡儿灌丛土壤水分动态

根据科尔沁沙地广泛分布的小叶锦鸡儿灌丛的植被调查和土壤水分监测数据,分析了沙地人工固沙灌丛的土壤水分时空动态和土壤储水量变化,并应用水量平衡法测定了灌丛蒸散发.结果表明:丘间地的土壤水分条件最好,丘中次之,丘上最低;灌丛区的土壤水分含量随深度增加而增加,在生长季内不会发生水分胁迫.灌丛区土壤水分与降雨过程高度相关,深层(50～180 cm)土壤水分同降雨的相关性高于表层(0～50 cm)土壤,并且深层土壤水分的变异也大于表层.整个生长期内,小叶锦鸡儿灌丛土壤储水量增加,土壤水分处于积累中,估算蒸散量占同期降雨量的64%以上.     

中亚热带森林群落不同演替阶段优势种凋落物分解试验

选择我国亚热带森林群落3个主要演替阶段的7个优势种（其中马尾松代表演替初期优势种,木荷和香樟代表演替中期优势种,甜槠、小叶青冈栎、青冈和乐昌含笑代表演替后期优势种）的凋落物,采用网袋法进行分解试验. 结果表明:马尾松凋落物分解得最慢,年分解速率为0.51;木荷和香樟居中,分别为0.55和0.61;小叶青冈栎和乐昌含笑分解得最快,分别为0.89和1.12.沿着植被顺向演替的梯度,凋落物分解速度呈现加快的趋势. 分解速率同凋落物的初始P、N和木质素含量及木质素/N比值呈极显著相关(P<0.01),同C/N比值有显著相关关系(P<0.05).凋落物的P、N和木质素含量及木质素/N比值是预测凋落物分解快慢的良好指标.