Saline Lakes: Proceedings of the Third International Symposium on Inland Saline Lakes, held at Nairobi, Kenya, August 1985
In: Developments in Hydrobiology 44
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In: Developments in Hydrobiology 44
In: Ecological Studies; Amazonian Floodplain Forests, S. 43-59
In: Developments in Hydrobiology 162
In: Springer eBook Collection
Inland saline waters are threatened worldwide by diversion and pollution of their inflows, introductions of exotic species and economic development of these ecologically valuable habitats. Since 1979 a series of international symposia on inland saline waters has served to strengthen and expand the scope of limnological research on inland saline waters. The seventh conference continued this tradition and the papers derived from the conference focused on the ecology of microbial communities, the influence of habitat geochemistry on biogeography of flora and fauna, physical and geochemical processes, and the conservation of inland saline waters. Of particular note are papers on Walker Lake, Nevada (USA), and the Salton Sea and Mono Lake, California (USA). Continued local, national and international efforts are required to inform the public and decision-makers about the environmental problems faced by saline waters. The papers in this volume will serve this end and should be of interest to aquatic ecologists, limnologists, aquaculturalists, and water resource managers
The modelling community has identified challenges for the integration and assessment of lake models due to the diversity of modelling approaches and lakes. In this study, we develop and assess a one-dimensional lake model and apply it to 32 lakes from a global observatory network. The data set included lakes over broad ranges in latitude, climatic zones, size, residence time, mixing regime and trophic level. Model performance was evaluated using several error assessment metrics, and a sensitivity analysis was conducted for nine parameters that governed the surface heat exchange and mixing efficiency. There was low correlation between input data uncertainty and model performance and predictions of temperature were less sensitive to model parameters than prediction of thermocline depth and Schmidt stability. The study provides guidance to where the general model approach and associated assumptions work, and cases where adjustments to model parameterisations and/or structure are required. (c) 2017 Published by Elsevier Ltd. ; Australian Research Council (ARC)Australian Research Council [DP130104078, LP130100756] ; GLM development and funding support for LCB, BDB, CB and MRH was provided by the Australian Research Council (ARC) (grants DP130104078 & LP130100756). Additional contributions from individuals and organisations as well as sources of data, provided from a variety of organisations are summarised in Appendix D. This study was made possible through the sharing of ideas, data and models across the AEMON and GLEON networks as well as discussions and working groups held during AEMON workshops and GLEON meetings. ; Public domain authored by a U.S. government employee
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