A predictive model for freshwater bioassessment (Mondego River,Portugal)

We sampled macroinvertebrates at 75 locations in the Mondego river catchment, Central Portugal, and developed a predictive model for water quality assessment of this basin, based on the Reference Condition Approach. Sampling was done from June to September 2001. Fifty-five sites were identified as “Reference sites” and 20 sites were used as “Test sites” to test the model. At each site we also measured 40 habitat variables to characterize water physics and chemistry, habitat type, land use, stream hydrology and geographic location. Macroinvertebrates were generally identified to species or genus level; a total of 207 taxa were found. By Unweighted Pair Group Method with Arithmetic mean (UPGMA) clustering and analysis of species contribution to similarities percentage (SIMPER), two groups of reference sites were established. Using Discriminant Analysis (stepwise forward), four variables correctly predicted 78% of the reference sites to the appropriate group: stream order, pool quality, substrate quality and current velocity. Test sites’ environmental quality was established from their relative distance to reference sites, in MDS ordination space, using a series of bands (BEAST methodology). The model performed well at upstream sites, but at downstream sites it was compromised by the lack of reference sites. As with the English RIVPACS predictive model, the Mondego model should be continually improved with the addition of new reference sites. The adaptation of the Mondego model methodology to the Water Framework Directive is possible and would consist mainly of the integration of the WFD typology and increasing the number of ellipses that define quality bands. Handling editor: K. Martens     

Uncertainty and sensitivity analysis of West Java Water Sustainability Index – A case study on Citarum catchment in Indonesia

Water sustainability indices have been recently used to measure the sustainability of water resources within a catchment. Developing a sustainability index involves various steps, some of which have uncertainties associated with them. For the recently developed West Java Water Sustainability Index (WJWSI), three sources of uncertainties were identified, namely uncertainties in the thresholds of non-categorical indicators and sub-indicators, in the weighting schemes, and in the aggregation methods. This paper presents the uncertainty and sensitivity analysis of WJWSI, based on the application of WJWSI to Citarum catchment in West Java, Indonesia. The results of the uncertainty analysis, measured by the coefficient of variation of the thresholds and the sub-indices, indicates that minimum thresholds of Land Use Changes, Coverage, Education, Poverty, Health Impact and Sanitation, and the maximum threshold of Water Quality have higher variation when compared to variation of the other thresholds. The results of the sensitivity analysis, measured by the correlation coefficients between the final index and the thresholds, indicate that changes in the thresholds of WJWSI indicators have not significantly affected the sub-index values of most indicators and sub-indicators. The sensitivity analysis also concluded that either the equal or non-equal weighting scheme can be used for future use of the aggregation of WJWSI indicators and sub-indicators, as changes from equal to non-equal weighting scheme did not significantly affect the final index. However, it was found that the final index values were most sensitive to the aggregation method used (i.e. arithmetic and geometric methods), shown by the significant changes in the final index value when the aggregation method was changed from arithmetic to geometric. The uncertainty and sensitivity analysis presented in this study will not just assist in the efficient use of the WJWSI, but will also help undertake similar analysis for other indices.     

The catchment and climate regulation of pCO2 in boreal lakes

The regulation of surface water pCO₂ was studied in a set of 33 unproductive boreal lakes of different humic content, situated along a latitudinal gradient (57°N to 64°N) in Sweden. The lakes were sampled four times during one year, and analyzed on a wide variety of water chemistry parameters. With only one exception, all lakes were supersaturated with CO₂ with respect to the atmosphere at all sampling occasions. pCO₂ was closely related to the DOC concentration in lakes, which in turn was mainly regulated by catchment characteristics. This pattern was similar along the latitudinal gradient and at different seasons of the year, indicating that it is valid for a variety of climatic conditions within the boreal forest zone. We suggest that landscape characteristics determine the accumulation and subsequent supply of allochthonous organic matter from boreal catchments to lakes, which in turn results in boreal lakes becoming net sources of atmospheric CO₂.     

Comparison of the hydrological characteristics of three small experimental holm oak forested catchments in NE Spain in relation to larger areas

Precipitation and streamflow have been measured in three small (0.04–0.52 km²) experimental catchments covered by dense holm oak (Quercus ilex L.) forests. Two of them are in the Prades mountains and one in the Montseny mountains (NE Spain). Here we test the hydrological representativeness of these catchments against the streamflow record at two nearby larger (34–60 km²) catchments, one from each massif. Comparisons of (i) annual streamflow, (ii) seasonal distribution of streamflow, and (iii) flow duration curves were made. At Prades, for the period of common record, mean annual precipitation was about 580 mm, and mean annual streamflow 44–81 mm at the two experimental catchments and 102 mm at the larger one. Most streamflow occurred during winter and spring in the three catchments. At Montseny, rainfall was higher, and mean annual streamflow was 495 mm in the experimental catchment, and 760 mm in the larger catchment, though these data were obtained in different periods in each catchment. Streamflow was roughly equal in autumn, winter and spring. At both sites flow duration curves were fairly similar in the small experimental catchments and the larger catchments. The higher streamflow at Montseny is reflected in its flow duration curves being well above those at Prades. The experimental catchments at Prades are thus fairly representative of the larger nearby catchment for the investigated hydrological characteristics. At Montseny, hydrological differences between the experimental catchment and the larger catchment are probably due to the higher mean altitude of the latter and to the non-overlapping periods of their streamflow records.     

气候和流域特征变化对淮河流域地表水文过程的影响

定量认识和理解气候与流域特征变化对淮河流域地表水文过程的影响,可以为科学管理淮河流域水资源提供重要的理论参考和技术支撑。评估了多控制因子联立求解归因方法的适用性,以此量化了淮河流域气候和Budyko参数n对不同年代蒸散发(ET)、径流变化(较基准期1961—1980年)的贡献,并且进行了归因分析,结果表明：1)多控制因子联立求解法可以准确有效地分离气候和参数n对ET和径流变化的贡献。2)在气候和参数n变化的共同影响下,20世纪80年代、90年代的ET和径流在沂沭泗河各水文分区均呈减小趋势,而在上游和中游各水文分区的变化则表现出明显的时空差异性。3)就各年代控制ET变化的主要因子,多数水文分区为参数n,其次为降水和潜在蒸散发(PET),分别集中在沂沭泗河地区和淮河上游。20世纪80年代,中游水文分区径流变化的主控因子为PET,其他水文分区则多为降水;而20世纪90年代和21世纪初多数水文分区的主控因子为参数n,其次为降水。总之,控制淮河流域ET和径流变化的物理机制具有明显的空间差异和年代际变化特征。     

流域尺度土地利用与土壤类型空间分布的相关性研究

随着人类活动日益加强,土地利用变化及其驱动力研究已经成为国际地理学界研究的热点。但目前更多的工作侧重于研究人为因子,如人口增长、政策变化等因子对土地利用变化的影响,其实土地利用在宏观尺度上的变化一定程度上取决于自然环境背景,因此研究土地利用变化的自然环境背景特征对于进一步探讨土地利用变化的自然驱动力具有重要意义。土壤类型的空间分布在一定程度将影响土地利用的空间分布格局和变化过程。本文利用遥感、地理信息系统,通过选取景观格局指标,以于桥水库流域为例,研究了土地利用与土壤类型空间分布之间的相互关系。结果表明：(1)受人类活动干扰较弱的土地利用类型,如有林地、稀疏林地、灌木林地、其他林地和草地,主要分布在淋溶褐土、褐土性土以及棕壤地区;而与人类活动密切的土地利用类型,如山区旱耕地、丘陵区水田、丘陵区旱耕地和平原区旱耕地主要分布在淋溶褐土、褐土性土和潮土地区;(2)同类地区土地利用的多样性指数要比土壤的低。并且土地利用和土壤类型多样性均表现出明显的地形梯度效应,从中低山区、低山丘陵区、丘陵平原区到山间盆地区,土壤多样性指数从小到大有规律地变化。而土地利用类型多样性变化较为复杂,反映出人类活动对土地利用格局的影响较强,而对土壤类型的影响相对较小;(3)随着平均斑块面积的增加,流域多样性指数将呈下降趋势。土地利用多样性指数与流域总面积之间的相关性较差,但土壤多样性指数与流域总面积表现出的相关性较好;(4)土地利用类型与土壤类型之间,平均斑块面积上没有明显的相关关系,但在多样性指数之间存在着较好的相关性。土壤类型丰富多样的地区,土地利用的多样性指数也相对较高。     

基于土地覆盖/利用模式的云南省抚仙湖流域生态资产评估

利用Landsat7 TM遥感影像和MODIS卫星影像获取生态系统类型、质量状况等参数,并计算出抚仙湖流域各类生态系统的净第一性生产力（Net Primary productivity,NPP）,结合地理属性数据及统计数据,计算出抚仙湖流域各类生态系统的生态资产。结果表明：2001—2004年抚仙湖流域生态资产分别为：827824．96、799563．89、703491．09、700806．18万元。灌丛对流域生态资产价值的贡献量最大,是生态资产构成中重要组成部分,贡献效率最高的生态系统类型是水田,水土保持价值在流域生态资产构成中占有很大比重。抚仙湖流域生态资产价值量呈下降趋势,需要加大生态建设力度,文章提出了流域生态资产的相关管理对策。     

磷元素扩散模型在水陆复合生态系统研究中的应用

以梅子垭村的一个小集水区及与之相邻的梅子垭水库为研究对象,根据降雨过程中集水区产生的径流输入及在水库库湾 不同取样点上所取水样的分析结果,初步建立了P元素在库湾 中的一维A.B.卡拉乌舍夫扩散模型。并对水库的水质状况与对应水流域的植被类型的特征之间的关系进行了分析。研究结果表明,水库水质与毗邻陆地生态系统的状况密切相关,以经济效益为主要目的的对陆地生态系统的过度开发将导致水库水质恶化;因此有必要将水陆生态系统综合考虑,以达到水陆复合生态系统的最大生态及经济效益。     

黄土丘陵沟壑区集水区尺度土地利用格局变化的水土流失效应

以陕北杏河集水区1985和1995年两期土地利用数据为基础,结合水文、DEM数据,定性分析了土地利用格局变化条件下的水土流失效应,其中采用双累积曲线法来界定土地利用格局基本没有变化的时间段,用C值在坡度、距河流距离上的分布来表征土地利用格局,用不同时期降雨量／径流量、降雨侵蚀力／输沙率相对增加的比例来表征水土流失效应。研究结果表明：(1)1981～2000年,土地利用格局变化剧烈的年份为1990～1991年,可以用1985、1995年两期数据分别代表20世纪80年代和90年代的土地利用;(2)从20世纪80年代到90年代,杏河集水区的C值有明显的增加趋势,在较陡坡度和距河流距离较近处,C值增加的幅度相对较大;(3)土地利用格局变化明显改变了降雨量-径流量、降雨侵蚀力-输沙率的关系,出现了从20世纪80年代到90年代,虽然降雨量／降雨侵蚀力在整体上呈现明显下降的趋势,但是水土流失量,却表现出同比增加的现象,而且这种增加在不同月份也有差异。用本文中的方法来表征土地利用格局和水土流失效应,其结果具有较好的比配性,可以用来定性分析土地利用格局与水土流失的关系。但是,由于水土流失效应的表征方法没有考虑降雨的空间变异特征,该方法尚不适于雨量站点比较密集、降雨空间变异较大的区域。此外,在进一步的研究中,还需要注意遥感数据解译的准确性、C值精度、土地条件的变化等问题。     

The Net Landscape Carbon Balance—Integrating terrestrial and aquatic carbon fluxes in a managed boreal forest landscape in Sweden

The boreal biome exchanges large amounts of carbon (C) and greenhouse gases (GHGs) with the atmosphere and thus significantly affects the global climate. A managed boreal landscape consists of various sinks and sources of carbon dioxide (CO₂), methane (CH₄), and dissolved organic and inorganic carbon (DOC and DIC) across forests, mires, lakes, and streams. Due to the spatial heterogeneity, large uncertainties exist regarding the net landscape carbon balance (NLCB). In this study, we compiled terrestrial and aquatic fluxes of CO₂, CH₄, DOC, DIC, and harvested C obtained from tall‐tower eddy covariance measurements, stream monitoring, and remote sensing of biomass stocks for an entire boreal catchment (~68 km²) in Sweden to estimate the NLCB across the land–water–atmosphere continuum. Our results showed that this managed boreal forest landscape was a net C sink (NLCB = 39 g C m^?2 year^?1) with the landscape–atmosphere CO₂ exchange being the dominant component, followed by the C export via harvest and streams. Accounting for the global warming potential of CH₄, the landscape was a GHG sink of 237 g CO₂‐eq m^?2 year^?1, thus providing a climate‐cooling effect. The CH₄ flux contribution to the annual GHG budget increased from 0.6% during spring to 3.2% during winter. The aquatic C loss was most significant during spring contributing 8% to the annual NLCB. We further found that abiotic controls (e.g., air temperature and incoming radiation) regulated the temporal variability of the NLCB whereas land cover types (e.g., mire vs. forest) and management practices (e.g., clear‐cutting) determined their spatial variability. Our study advocates the need for integrating terrestrial and aquatic fluxes at the landscape scale based on tall‐tower eddy covariance measurements combined with biomass stock and stream monitoring to develop a holistic understanding of the NLCB of managed boreal forest landscapes and to better evaluate their potential for mitigating climate change.