Multivariate analysis of the sediment quality of a tropical coastal lake system

Accurate knowledge of sediment quality is essential because it affects the magnitude and trends of water quality constituents. There are only a few analyses of sediment quality characteristics using multivariate analysis tools. This study utilizes hierarchical cluster analysis (HCA), factor analysis (FA) and multiple regression analysis (MRA) to demonstrate the usefulness of these techniques to analyse sediment quality for Akkulam–Veli Lake, a tropical coastal lake system in Kerala, India. The variation of sediment quality patterns during the premonsoon (PRM), monsoon (MON) and postmonsoon (POM) periods were assessed with cluster analysis. Factor analysis was used to identify prominent factors influencing sediment quality, while the factors influencing heavy metal partitioning in the sediment and overlying water were identified using multiple regression analysis. The study results indicated the sediment in the upstream portion of the lake was polluted during PRM, with the prominent factors being the ‘heavy metal factor’ and the ‘organic pollution factor’, followed by the ‘phosphorus pollution factor’ and the ‘cadmium pollution factor’. The ‘heavy metal factor’ and the ‘organic pollution factor’ are the prominent factors during MON, whereas the ‘heavy metal factor’, ‘organic pollution factor’ and ‘salinity factor’ were prominent POM factors. The salinity of the overlying water above the sediments plays an important role during PRM and POM, whereas the dissolved oxygen content was important during MON.     

Management issues in the Lake Titicaca and Lake Poopo system: Importance of developing a water budget

Lake Titicaca is the largest freshwater lake in South America and the highest of the world’s large lakes. The Desaguadero River links Lake Titicaca to lakes Urur Uru and Poopo and, in wet years to the Coipasa Salt Marsh. Lake Titicaca is bordered by both Bolivia and Peru. The main international lake management problem for the Lake Titicaca/Desaguadero River/Lake Poopo system involves the use of water resources. The maximum usable flow in the Titicaca basin (only 20–25 m³ s^–1), is dramatically less than the estimated demand. Water transfer and irrigation projects will have to be strictly prioritized on the basis of environmental, social, economic and hydrological criteria. Establishing the overall volume and demand for water in the Titicaca system has been critical to making good management decisions. Agreements for the study and management of Lake Titicaca between Peru and Bolivia date back to 1955 when both countries signed a document declaring ‘the indivisible and exclusive joint ownership of both countries of the waters of the lake’. Over time, the two countries agreed to create a Binational Autonomous Authority that would have full autonomy for Titicaca–Desaguadero/Poopo system decisions related to implementing the master plan that they had developed. Although it is hard to quantify conservation success in large lake regions, water use projects are being prioritized, city wastewater pollution in the Bay of Puno is being reduced and ameliorated and a large biodiversity project through the Global Environment Facility is underway.     

Framework for surface water quality management on a river basin scale: Case study of Lake Iseo, Northern Italy

River (DESERT) and lake (EVOLA) water quality models are used to simulate the influences of alternative water quality management scenarios on the quality of receiving surface waters in the Lake Iseo basin, Northern Italy. The scenarios are representative of the European Union Directive on Urban Waste Water Treatment (91/271/EEC) and of the regional authority’s objective to reduce the total phosphorus loads from point sources entering Lake Iseo and to restore the lake as close as it is practically possible to its former natural qualitative state. Application of DESERT shows that the regional ‘Water Clean Up Plan’ can achieve similar reductions in total phosphorus concentrations in the basin’s main river system, Oglio River, to the 91/271/EEC directive, but at notably lower economic costs. Application of EVOLA to Lake Iseo shows that it is not practical to achieve the regional authority’s objective of a specific total phosphorus concentration in the lake by 2016. Instead, the results show that a more realistic, but higher, total phosphorus concentration can be achieved by 2016. The results of both modelling exercises indicate the usefulness of DESERT and EVOLA for comparing and assessing water quality management scenarios and for revising the regional authority’s final objectives with regards to total phosphorus concentration in Lake Iseo, as well as the regional ‘Water Clean Up Plan’ for restoring and safeguarding the quality of the basin’s surface waters.     

Development of a system‐based water balance model to assess interrelated physical and anthropogenic constraints in lake and reservoir watersheds,applied to Coeur d'Alene Lake,Idaho, USA

This study presents a methodology for the development of a water balance model that uses publicly available data in a manner useful to water scientists and managers who manage complex lake and reservoir watersheds. The approach was applied to Coeur d'Alene Lake, a naturally occurring lake that is controlled by a dam located on its outlet (Spokane River) in North Idaho, USA. As in many other areas, the region surrounding Coeur d'Alene Lake has experienced high rates of population growth in recent years, and there is concern that, as consumptive water use increases, the lake will eventually not be able to be managed to simultaneously maintain the federally mandated minimum flow requirements in the Spokane River and also maintain the target summertime elevation of 2128 feet (648.6 m) for recreation and hydropower purposes. The complexity caused by the competing uses at Coeur d'Alene Lake makes it an excellent case study for similarly characterized watersheds. Both a natural flow model and regulated elevation model were developed, and sensitivity analysis was conducted on both models to evaluate which lake processes have the greatest effects on lake elevation, thereby requiring the most attention. A ‘low‐flow’ scenario was modelled to demonstrate the usefulness of the model and to inform Coeur d'Alene Lake regional stakeholders regarding the interrelationship between current water policy and the lake's physical behaviour under stressed conditions that could result from climate change. Model result indicates that, while lake elevation may be maintained at the summertime elevation of 2128 feet (648.6 m) under a low‐flow scenario, the outflows in the Spokane River start to approach the minimum flow requirements in the month of August. The developed approach is useful where publicly available data exist and allows for economic, yet rigorous, water resources systems evaluation without requiring significant field data collection.     

The use of models for synthesizing knowledge for integrated lake basin management, and facilitating implementation of the World Lake Vision

Integrated water resources management (IWRM) is becoming increasingly accepted as the most logical and effective means of managing aquatic ecosystems for their sustainable use. Despite efforts to provide practical examples of the application of IWRM, we still lack knowledge on how to best consider and integrate the potentially large quantity of data and information, both scientific and socioeconomic, which must be considered in pursuit of the goal of sustainable water resources. The unique features of (i) an integrating nature; (ii) long water retention time, and (iii) complex response dynamics make the management of lakes and reservoirs particularly difficult to achieve. Although the World Lake Vision has provided substantial management guidance to address some of the complex issues facing lake and reservoir management, additional work directed to analysing the interactions and linkages between the scientific/technical and the socioeconomic components of the sustainability ‘equation’ is needed. This report examines the use of mathematical models as a synthesizing tool in developing and applying management strategies for lakes and reservoirs. The different types of available models, and the criteria that can be used to select the ‘best’ model for a given situation, also are discussed, as is the important role of environmental indicators in the process. A case study focusing on the restoration of Lake Fure in Denmark provides an illustrative example of the application of the approach discussed in this report.     

Using satellite data to extract volume–area–elevation relationships for Urmia Lake,Iran

Urmia Lake in the northwest of Iran is the second largest hyper-saline lake worldwide. During the past two decades, a significant water level decline has occurred in the lake. The existing estimations for the lake water balance are widely variable because the lake bathymetry is unknown. The main focus of this study is to extract the volume–area–elevation (V–A–L) characteristics of Urmia Lake utilizing remote sensing data and analytical models. V–A–L equations of the lake were determined using radar altimetry data and their concurrent satellite-derived surface data. Next, two approximate models, a power model (PM) and a truncated pyramid model (TPM), were parameterized for Urmia Lake and checked for accuracy. Results revealed that in comparison with the satellite-derived reference volume–elevation equation, the PM slightly over-predicts the volume of Urmia Lake while the TPM under-estimates the lake storage. Variations of the lake area and volume between 1965 and 2011 were examined using the developed V–A–L equations. Results indicated that the lake area and volume have declined from the historical maximum values by 2200 km² and 33 km³, respectively. To restore Urmia Lake to a level to maintain ecological benefits, 13.2 km³ of water is required. This study demonstrates the use of remote sensing data of different types to derive V–A–L equations of lakes. Substituting satellite-derived V–A–L equations for common empirical formulas leads to more accurate estimations of a lake water balance, which in turn, provides insight to water managers for properly assessing and allocating water resources to downstream ecosystems.     

Investigating the restoration of Lake Urmia using a numerical modelling approach

We assessed the effectiveness of multiple hydrologic restoration scenarios for Lake Urmia, as well as the variation of its salinity regime under no intervention, using a 2D shallow water model. Tested scenarios, proposed by Urmia Lake Restoration Program Committee, include: Preservation of current lake status (no intervention), complete closing of Shahid Kalantari causeway, dyke construction in the southern part of Lake Urmia, water transfer from Zarrinehrood River to Siminehrood River and reduction of agricultural water consumption by best agricultural practices. Results indicate that neither the closure of the causeway nor the construction of the southern dyke would significantly improve lake conditions when compared to preservation of current lake status. The water transfer alternative doesn’t seem to have any effect on the current lake conditions either. However, the reduction on water diversions by improving agricultural practices in the lake's basin leads to a partial restoration of the lake in terms of water level, surface area and volume. If current conditions persist, salinity in the northern part of Lake Urmia will reach supersaturation levels (340?g/L), generating further salt deposits.     

不同空间分辨率遥感数据识别湖泊的误差分析

湖泊面积及空间分布是表征水情变化的重要指示因子,对研究气候变化和人类活动对水资源的影响具有重要作用。如何利用遥感影像进行湖泊制图和面积估算是当前遥感应用研究中的难点问题。从实际应用需求出发,采用GF-1/WFV(Wide Field View)、Landsat-8 OLI(Operational Land Imager)、MODIS(Moderate-Resolution Image Spectroradiometer)遥感数据,选用安徽省受人类活动影响较大的54个湖泊为研究区域,采用NDWI二值分割法得到湖泊水体信息,使用30,500 m和1 000 m 3种空间分辨率的遥感影像进行湖泊制图,探讨制图精度与湖泊形态之间的关系。结果表明:湖泊分形维数值越大,湖泊形态越复杂, Kappa系数越高,面积误差越小;遥感影像分辨率越高,湖泊制图结果的Kappa系数和总体精度越高。     

Challenges and opportunities in watershed management for Laguna de Bay (Philippines)

Laguna de Bay is the largest lake in the Philippines and the second largest freshwater lake in South‐East Asia. The lake is shallow with a mean depth of only 2.8 m. Rice paddies, sugar cane fields, coconut plantations and other agricultural fields make up large portions of the catchment area, although there is also extensive urbanization and industrialization. As industry and population around the lake have grown, the lake and its tributaries have become overwhelmed by industrial, commercial, agricultural and domestic pollution resulting in massive fish kills and polluted water. Laguna de Bay is under the management and protection of a national government agency known as Laguna Lake Development Authority (LLDA). In 1983, the LLDA was given the power to control and abate pollution within the Laguna de Bay watershed. The mandate of the LLDA includes the environmental regeneration and sustainable development and use of the lake’s waters, fisheries and wetlands. The LLDA receives no federal funds but it retains and uses collected fees from regulated industries. The LLDA has instituted an environmental‐user fee or pollution‐charge system that has given corporations an incentive to construct and use wastewater treatment plants at a lower cost than the required fees for dumping waste into Laguna de Bay. User fees provide more flexibility about how and when a user or industrial facility cleans up its manufacturing process. Many medium‐ and large‐sized domestic and multinational corporations have achieved at least 30–50% reductions in pollution loads. The user fees also encourage industry water conservation. Other creative approaches to conserving Laguna de Bay include ‘Environmental Armies’ that consist of volunteers who clean up river banks, demolish illegal fish pens and install low‐cost garbage traps at the river’s mouth. ‘Poison Awards’ are given annually and publicly to companies that continue to dump large amounts of waste into lake tributaries. Organizers also name a ‘Most Improved Company’ to provide a positive incentive. Laguna de Bay stakeholders face a severe shortage of resources to continue their work. Innovative strategies are needed to achieve pollution reductions from smaller industries     

Water quality assessment of a tropical coastal lake system using multivariate cluster,principal component and factor analysis

Statistical techniques represent a reliable tool for classifying, modelling and interpreting surface water quality monitoring data, particularly for lakes. The complexity associated with the analysis of a large number of measured variables, however, is a major problem in water quality assessments. Multivariate analysis, such as cluster analysis and factor analysis (FA), was utilized in this study for the analysis of water quality data (including water discharges and 28 water quality parameters) for Akkulam–Veli Lake, a tropical coastal lake system in Kerala, India. This lake is partially divided into two sub‐systems, namely Veli Lake and Akkulam Lake. Akkulam Lake exhibits freshwater characteristics, in contrast to Veli Lake, which exhibits saline water characteristics because of its close proximity to the sea. Thus, studying this lake provides insights into water quality variations in both a freshwater and saline water lake in a tropical region. Water quality patterns and variations in Akkulam–Vela Lake over three seasons, including pre‐monsoon (PRM), monsoon (MON) and post‐monsoon (POM), also were studied, utilizing multivariate techniques. The organic pollution factor played a significant role on lake water quality during PRM. The influence of organic pollution tends to decrease during MON and POM, a particular situation faced by urban lakes in tropical regions. Polluted stretches in a lake system during different seasons can easily be ascertained by hierarchical cluster analysis. Further, the factors affecting a lake system as a whole, as well as for a particular sampling site, can easily be identified by FA. Improved water quality can be observed during POM. Akkulam and Vela lakes exhibit a wide variation in water quality during all seasons, a finding that corroborates a water flow obstruction from Akkulam Lake to Veli Lake because of the bund existing between the two lakes. The location of the bund is identified as the major reason for different hydrochemical processes in A–V Lake.     

Experiences and lessons learned from interventions in the Lake Victoria Basin: The Lake Victoria Environmental Management Project

The Lake Victoria basin has experienced a myriad of environmental changes leading to its degradation, and necessitating various interventions to be implemented. The purpose of this study was to review early development initiatives, past and ongoing interventions in order to document experiences and lessons learned from them. The methods used in this study include review of published articles, project reports, and personal opinions of experts and project implementers in the lake basin. There are numerous threats to the lake basin, the major ones being poor land use and agricultural practices, catchment deforestation, destruction of wetlands, pollution loading, fishing malpractices and invasion by exotic aquatic weeds. These threats have resulted in rampant land and wetland degradation, leading to poor water quality and consequent water loss, a decline in the diversity of the commercial fisheries, and the lake’s biodiversity in general, unsustainable use of natural resources, increased poor human health and food insecurity, with high levels of poverty among the riparian communities. Initiatives for socio‐economic development within the lake basin began as early as the turn of the 20th century, while intervention studies started as early as the 1920s. Current lake management intervention projects, such as the Lake Victoria Environmental Management Project (LVEMP), undertaken by the riparian states of the East African Community, have invested heavily in the lake basin, with the goal of addressing the above‐noted threats to the lake. Some pilot projects undertaken through the LVEMP include: (i) water quality and quantity monitoring; (ii) industrial and municipal management; (iii) fisheries studies; (iv) water hyacinth control; (v) wetlands; (vi) land use; (vii) catchment afforestation; and (viii) micro‐projects to alleviate poverty, to cite a few examples. Phase 1 of the LVEMP was a major effort in the history of the lake basin; hence, its critical examination. To this end, this study highlights, in chronological order, the experiences, achievements, challenges and lessons learned with regard to Phase 1 of the LVEMP.     

Hydroclimatic variability across the international Lake of the Woods watershed: Implications for nutrient export and climate sensitivity

Characterizing streamflow and relationships with climate and watershed characteristics is an essential first step in the design of any monitoring program to assess basin response to changes in land use or climate. This is especially true for the international Lake of the Woods watershed, where recurrent algae blooms have been associated with nutrient inputs from the watershed and climate warming. Here, we present a basin-wide hydroclimatic analysis within the sparsely monitored Canadian portion of the basin. Spatial and temporal patterns in climate and runoff were assessed across the two major geo-zones: the Precambrian ‘Shield zone’, dominated by bedrock, forests and lakes, and the poorly drained ‘Agassiz zone’ where ditching and drainage for agriculture have substantially enhanced the hydrologic connectivity. While climate conditions were consistent across the watershed, Agassiz basins were flashy, highly variable, and more seasonal compared with Shield rivers, likely due to the moderating effect of lake storage in the Shield region. Temperatures increased across the basin (1910–2010), and there was more rainfall and runoff during the ice-covered months (Nov-Mar), suggesting a shift toward earlier snowmelt. Marked seasonality and large swings in flow extremes at the Agassiz rivers suggest this region is particularly sensitive to hydroclimatic change and that frequent monitoring is needed to capture important periods of nutrient export like spring runoff and storm events. In contrast, substantial storage within the Shield landscape suggests this zone is more hydrologically ‘resilient’ to climate extremes and that water quality and quantity measurements can be less frequent.     

Navigation waterway for Lake Nasser/Nubia on the Nile River

The High Aswan Dam is one of the largest dams in the world. Completion of the dam in 1970 resulted in the formation of Lake Nasser/Nubia (LNN). LNN has a highly irregular shape and dimensions. Its total length is about 500 km (335 km in Egypt, known as Lake Nasser; 165 km in Sudan, known as Lake Nubia). It has an average width of 12 km, an average depth of about 25 m and a maximum depth of 90 m. Large quantities of sediment are deposited in the lake, which complicates accurate knowledge of its navigational routes. Moreover, the sediment deposition and lowering of water levels has resulted in the creation of shallow areas that navigation bottlenecks. Furthermore, this problem is expected to increase in the future because of climate change impacts, and the effects of upper Nile River projects. The objective of this study was to identify a sustainable channel for navigation purposes in Lake Nasser/Nubia. A numerical model (Delft‐3D) was used to simulate the navigation waterway along Lake Nasser/Nubia. Calibration and verification of the model for flow and sediment deposition were performed during the period of 2009–2012. There was a good agreement between the observed and modelled results for the whole domain. The model was used to evaluate the designed navigation waterway, based on different scenarios. The calculated volume of the needed dredging, based on time series for the years 2002–2006 (‘which represents a minimum flood’), was 5.94 million m³ (mcm); the calculated volume of the dredging using time series for the years 1992–1996 (‘which represents an average flood’) was 6.64 mcm; and the calculated volume of the dredging using time series for the years 1996–2000 (‘which represents a maximum flood’) was 8.46 mcm. The modelling approach proved to be a useful tool for monitoring the future navigation waterway in Lake Nasser/Nubia.     

Application of integrated environmental management through the preparation of an environmental action programme: Case study from the Songkhla Lake Basin in southern Thailand

The concepts and principles for integrated environmental management (IEM), which is based on a strategic and participatory approach to environmental and regional planning, has been successfully applied to a large lake system in the southern region of Thailand. The application was achieved through the Danish Cooperation for Environment and Development funded project ‘Environmental Management in the Songkhla Lake Basin’ (EmSong Project) in the Office of Environmental Policy and Planning within the Ministry of Science, Technology and Environment. Through the application of the methods and tools for IEM, including the use of a participatory and strategic planning approach, and the establishment of a comprehensive database and an integrated surface water model for the lake system, an environmental action programme (EAP) has been developed. This action programme, which is based on a broad consensus at the local and regional level, includes vision and mission statements, resource objectives and strategies for management from an economically and ecologically important lake system in Thailand. The operational part of the EAP is a project catalogue, which contains immediately needed projects described to an international pre‐feasibility level. The former is the tangible output of the EmSong Project. A more intangible output from the EmSong Project is committed and informed local and regional government and community‐based organizations.     

Heavy metal pollution in a sewage-fed lake of Bhopal, (M. P.) India

Shahpura Lake receives untreated domestic sewage from residential areas in Bhopal city. Analysis of water, plankton, fish and sediment reveals that the lake is contaminated by certain heavy metals. The concentrations of some of these metals including iron and manganese were within acceptable limits, whereas others including chromium, nickel, zinc and lead were not within acceptable water quality limits. Metal concentrations in the sewage inlet drain and lake sediment were compared with published criteria. The comparison revealed that the metals in the sediment ranged from the ‘non‐polluted’ to the ‘heavy pollution’ categories. The reference dose was calculated by the adoption of the United States Environmental Protection Agency reference dose factor, and the result reveals that the local population is not exposed to undue health risks. Concentrations of heavy metals in the water increased during the second year of the study, indicating an increase in the pollution load on the system. This might increase the bioaccumulation levels in fish and increase the actual dose of metals to which the local population will be exposed.     

Impacts of dam construction on streamflows during drought periods in the Upper Colorado River Basin,Texas

The purpose of this study was to assess the impacts of dam construction on streamflow during a severe drought in the upper Colorado River basin (TX), upstream of Lake Buchanan reservoir. The region has experienced severe, prolonged droughts over the past century. To ameliorate the effects of drought, and increase water storage for use during dry periods, several dams were constructed on the mainstem and tributaries of the Colorado River upstream of Lake Buchanan since the late‐1940s. Analysis of flow at the gauge above Lake Buchanan indicated streamflow was significantly reduced during the recent drought (2009–2014), compared with streamflows during the ‘drought of record’ (1950–1957). The construction of these upstream dams reduced streamflow by intercepting and storing water. It is concluded that building reservoirs in the western portion of the basin, largely in response to past droughts, although increasing water supplies for local uses, exacerbated the downstream effects of the hydrological drought, essentially making it the worst in recorded history.     

Satellite based lake bed elevation model of Lake Urmia using time series of Landsat imagery

This study presents a lake bed elevation model of Lake Urmia. In the course of model generation, a time series of the extent of the lake surface was derived from 129 satellite images with different acquisition dates based on the Landsat sensors Thematic Mapper (TM), Enhanced Thematic Mapper Plus (ETM+), and Operational Land Imager (OLI). Due to the rapid shrinking of the lake during the last two decades, lake surface areas ranging from 890 km² to 6125 km² could be covered. The water edge of the various lake extents was then linked to the observed water level on the day of the satellite image acquisition. The resulting contour lines, covering water levels between 1270.04 m and 1278.42 m a.s.l. and thus representing the lakebed morphology in its shallow parts, were merged with existing data (deeper parts) and interpolated to generate a lake bed elevation model. Finally, Lake Urmia’s Level-Area-Volume relationships were derived from the lake bed elevation model and compared to bathymetric data previously published.     

Water Balance Study and Irrigation Strategies for Sustainable Management of a Tropical Ethiopian Lake: A Case Study of Lake Alemaya

Lake Alemaya in the Ethiopian Highlands has historically provided the surrounding area with water for domestic use, irrigation, and livestock and has served as a local fishery tank. Increasing irrigation and domestic water use, change in the local climate and changes in the surrounding land cover are believed to be the causes of Lake Alemaya’s demise. Expansion of major irrigated crops in particular chat (Catha Edulis), potato and vegetables and non-judicious use of irrigation water in the Lake Alemaya watershed led to presumption that irrigation is partly responsible for the withdrawal of large quantity of water from the lake. Thus, water balance study of Lake Alemaya was carried out under presumed scenarios in order to study the possible trends and fluctuations of the lake water level in response to proposed scenarios. Further, it is essential to study the irrigation performance for developing optimal irrigation schedules in the study area to make the best use of available water for long term sustainability of the water resources of Lake Alemaya. It was identified that expansion of the irrigated area in general and chat cultivation in particular in the study area have been the key to sustainable management of lake water, hence its expansion during the past 37 years (1965–2002) was studied through interpretation of satellite data. Subsequently, performance evaluation of the small-scale irrigation practices for major irrigated crops was carried out. Optimal irrigation schedules for different crop seasons were also developed for these irrigated crops using CROPWAT software. It was found that chat area increased from 190 ha in 1996 to nearly 330 ha in 2002. Further, it was observed that 43% surface area of the lake has reduced within a span of 37 years. Overall, maximum irrigation intensity of chat, potato and vegetables is observed during the first irrigation season of the crop calendar. Particularly, in case of chat, irrigation performance indicators such as Relative Water Supply (RWS), Relative Irrigation Supply (RIS), Depleted Fraction (DF) and Overall Consumed Ratio (OCR) values indicated poor performance of irrigation practices. From the analysis, it was found that the application of a fixed irrigation depth and fixed irrigation interval combinations of (25 mm—25 day), (20 mm—20 day), or (20 mm—25 day) are recommended for chat in the study area. Optimal irrigation schedules were decided on the basis of combination of irrigation interval and depth that results in low loss of irrigation water with reasonable yield reduction. Thus, determination of appropriate water management strategy can ensure proper utilization of the available water resources and improve the water application efficiency of the small-scale irrigation practices around Lake Alemaya, Ethiopia.     

The role of the Yala swamp lakes in the conservation of Lake Victoria region haplochromine cichlids: Evidence from genetic and trophic ecology studies

Lake Kanyaboli, an isolated satellite lake of Lake Victoria, has been suggested as a potential refugium for haplochromine cichlids that have gone extinct in the main basin of Lake Victoria. Mitochondrial DNA (mtDNA) molecular markers, as well as feeding ecology studies, were employed in this study to re‐evaluate the evolutionary and ecological significance of six common Lake Kanyaboli haplochromines. The mtDNA marker revealed high genetic variability within four of the six haplochromine cichlids. Five haplotypes were discerned in Astatoreochromis alluaudi (n = 27), seven in Lipochromis maxillaris (n = 29), five in Astatotilapia nubila (n = 12) and 11 in the endangered Xystichromis phytophagus (n = 205). A haplotype genealogy suggests that Lake Kanyaboli harbours mtDNA haplotypes that could have been lost or not sampled in Lake Victoria, or could have arisen in situ. Lipochromis maxillaris appears to have undergone a recent demographic expansion. The pairwise F_STs indicated that only the comparison between X. phytophagus and A. nubila led to a non‐significant F_ST value. All other comparisons were significant at the 0.01 level, indicating the genetic distinctiveness of the haplochromines in the satellite lake. This could suggest that the lake harbours ‘pure’ relict populations of the haplochromines and therefore that Lake Kanyaboli can be considered a ‘genetic reservoir’. Gut content analysis of the six haplochromine species revealed that eight different food items were consumed. No single species fed exclusively on a single food item, but certain food items contributed higher proportions of the fish diet for each fish species. Resource partitioning therefore could be discerned within this haplochromine community. Thus, Lake Kanyaboli and similar satellite lakes provide an opportunity for conservation of both genetic and trophic diversity threatened by introduction of exotics in the Lake Victoria basin. Lake Kanyaboli should be recognized and conserved as important evolutionary significant units for Lake Victoria region haplochromine species.     

岱海湖水位对气候要素与土地利用的响应

利用Mann-Kendall检验、Hurst系数法、基于有序聚类法的t检验等方法分析湖区水位演变趋势;利用Partial Mantel检验法,并通过构建缺失资料地区的湖区水文模型,探究了典型半干旱区湖泊岱海湖水位对气候要素与土地利用变化的响应。结果表明:岱海湖水位1959—2018年呈现显著下降趋势,于1982年和2005年发生突变,未来水位将呈现持续降低趋势;岱海湖春季受融雪影响导致水位较高,秋季受用水影响导致水位较低,且秋季水位降低在四季中最为明显;气候变化与水土资源开发利用是影响半干旱区湖泊水位变化的主要因素,在气候变化条件下,岱海湖水位对气温变化最为敏感,对日照变化的响应次之;由于岱海湖流域降水-产流-下渗机制较为复杂,岱海湖水位对降水变化的响应具有滞后性,流域林草面积增加可能是引发岱海湖水位降低的重要因素。