燕山地区访花昆虫多样性及其影响因子

为了解燕山地区访花昆虫的群落结构及与其生境类型、干扰程度、海拔之间的关系, 本文采用样线法和灯诱法于2019年、2020年每年的7-8月对该地区湿地、森林、灌丛、草地、农田5种生境, 不同海拔梯度(0-1,200 m)的访花昆虫进行了采集。共采集访花昆虫1,306头, 隶属7目44科153种, 其中鳞翅目昆虫物种数最多, 半翅目昆虫个体数最多。灌丛生境的访花昆虫多样性最高。在中低海拔200-400 m段, Shannon-Wiener多样性指数、Margalef丰富度指数和Simpson优势度指数均最高。双变量回归结果表明, Shannon-Wiener多样性指数和Margalef丰富度指数分别与最暖季降水量和年降水量显著正相关(P < 0.05)。冗余分析(redundancy analysis)结果表明, 环境因子显著影响访花昆虫多样性, 但不同测度之间存在一定差异。温度和湿度均与Pielou均匀度指数呈正相关, 与Shannon-Wiener多样性指数、Margalef丰富度指数和Simpson优势度指数呈负相关; 弱干扰和中干扰程度对访花昆虫多样性影响最小, 科学管理农牧活动是保护访花昆虫多样性的关键。     

The land use history (1278–1990) of a mixed hardwood forest in western Belgium and its relationship with chemical soil characteristics

Aim During the last decades, an increasing number of studies have stressed the importance of historical human influence on the ecology of forests and on the characteristics of forest soils. Therefore, the objectives of this study are (1) the quantification of the land use history of Ename Wood from 1278 to 1990 and (2) to find out whether the former land use of the forest has long-lasting effects on present-day chemical soil properties. Location The 62-ha present-day Ename Wood is situated in western Belgium and is the remainder of the 145-ha historical Ename Wood. Methods We disposed of eighteen land-use maps for the period between 1278 and 1990 which were digitized using a geographic information system (GIS). Transition between the different land uses and Shannon–Wiener diversity indices were calculated to quantify the history of changing land use. Mixed soil samples were taken in lots delimited on the basis of the historical data. Next, the soil properties were combined with the land-use variables using redundancy analysis and ANOVA . Results The quantification of the land use changes showed that the present Ename Wood is the result of several forest regression and progression phases, with a complete clearance in the nineteenth century. Diversity in land use was maximal between the fourteenth and the sixteenth century due a variety of transitional forms between forest and pasture. A positive correlation between the duration of arable land use since the 19th century clearance and soil pH, calcium and phosphate content was observed and a negative correlation was found with the carbon content, the total nitrogen content and the C:N ratio. These correlations are probably caused by a combination of acidification processes and the accumulation of organic matter under forest in combination with manuring practices in the twentieth century. Present-day forest lots which have been pastured for some time between 1278 and nineteenth-century clearance still had a significantly lower pH and degree of base saturation, which is probably caused by the export of nutrient rich plant material at that time. Discussion and conclusions The results demonstrate that the developed methodology is successful and confirm that historical land use, even in the distant past, can still influence present-day soil characteristics. For this reason, long-term historical land use should always be considered in forest ecological research.     

Multivariate analysis of phytoplankton and related environmental factors,in a shallow hypertrophic lake

Data on some relevant environmental variables and phytoplankton species composition, collected from the hypertrophic shallow lake Albufera of Valencia (Spain) during 1980–88, were examined using Redundancy Analysis (RDA). The hydrological cycle of the lake is manipulated for rice cultivation in the area. Seasonality and the particular hydrological cycle of the lake were the principal factors influencing long-term phytoplankton dynamics. Annual or horizontal differences were less important than the seasonal factor. However, a trend of phosphate increase and underwater illumination decrease was observed between 1980 and 1988. These changes might be related to some species year-to-year variations, although in general interannual phytoplankton changes were scarce. Spatial phytoplankton differences were much smaller than physical and chemical differences, which were mainly related to loading and residence times at the different sampling zones. Shallowness, hypertrophy and the regular hydrological cycle of the Albufera for rice yield, seem to contribute to the maintenance of an almost stable and homogeneous algal community, mainly composed of filamentous cyanophytes. RDA analysis has proved to be an efficient method in yielding valuable information on phytoplankton-environment interactions and trends over a long series of data. It seems also a feasible technique to monitor the results of lake management and restoration in the future.