Evaluation of large-scale precipitation data sets for water resources modelling in Central Asia

Malsy, Marcus; Beek, Tim aus der; Flörke, Martina

doi:10.1007/s12665-014-3107-y

Cited by 31 publications

(20 citation statements)

References 42 publications

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“…Twenty receivers detected five fish moving past them at this time, with one individual not recording any longitudinal movement. Given the expectation that climate change will continue to increase temperatures and reduce precipitation in Mongolia (Saladyga et al, 2013;Malsy et al, 2015), maintaining the hydrogeological connectivity of these tributaries to ensure access to thermal refuge areas during the warming summer months is critical for minimising potential future mortalities of many sensitive fish species including taimen. This is the longest quantified spring movement reported for a taimen to date, as previous movements described have been 12 and 25 km in tributaries of Lake Baikal (Matveyev et al, 1998) and over 40 km up the Tompuda and Bolshaya rivers in Russia (Ustinov 1979reported in Matveyev et al, 1998.…”

Section: Discussionmentioning

confidence: 99%

“…Documenting the distance, timing and conditions when taimen utilise different main channel and tributary reaches within their home range is valuable for authorities to help evaluate both spatial and temporal management strategies, particularly as river networks in north and central Asia are becoming progressively polluted and fragmented, and the impacts of climate change on continental river systems (e.g. elevated temperatures and flooding events) are expected to increase further in the future (Cai et al, 2013;Hofmann et al, 2015;H€ ulsmann et al, 2015;Karthe et al, 2015a;Malsy et al, 2015). In this taimen biotelemetry study, the first to be conducted on an Amur River basin population, a substantial data set was obtained and seasonal home range sizes and individual behaviour patterns within and between the Onon River and a major tributary were identified, thus helping to fill an important knowledge gap for regional conservation of this endangered species and river basin management in data-scarce Mongolia (Karthe et al, 2015b).…”

Section: Discussionmentioning

confidence: 99%

“…However, any taimen movements in the surrounding Eg-Uur River tributaries would have been missed as monitoring did not cover the tributaries in the region. Given the expectation that climate change will continue to increase temperatures and reduce precipitation in Mongolia (Saladyga et al, 2013;Malsy et al, 2015), maintaining the hydrogeological connectivity of these tributaries to ensure access to thermal refuge areas during the warming summer months is critical for minimising potential future mortalities of many sensitive fish species including taimen.…”

Section: Discussionmentioning

confidence: 99%

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Seasonal home range shifts of the Siberian taimen (Hucho taimenPallas 1773): Evidence from passive acoustic telemetry in the Onon River and Balj tributary (Amur River basin, Mongolia)

Kaus

Büttner

Schäffer

et al. 2016

Internat. Rev. Hydrobiol.

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Hucho taimen, the world's largest salmonid, is a potadromous species that is listed as endangered in Mongolia. While mature individuals are known to have extended longitudinal movements of over 90 km along main river channels, details of the seasonal movements and residency of individuals within and between tributary habitats have been largely undocumented. Therefore, the current research aimed to detect and quantify the seasonal distances moved by adult taimen (65–96 cm; n = 10) within and between the Onon River (Amur River basin) and a major tributary (Balj) over 12 months using passive acoustic telemetry. The median distance moved by taimen in spring was 17.4 km (n = 6), in summer 9.1 km (n = 4), autumn 4.7 km (n = 9) and winter 0.4 km (n = 8). However, there were no statically significant differences amongst these median seasonal home range sizes. Two taimen traversed between the Onon River and the Balj tributary during the study period, recording overall home ranges of 44.5 km and 126.1 km. One of these individuals moved twice, exiting the tributary in autumn and returning again in spring where it remained for 36 days, while the second taimen moved only once into the tributary in spring and re‐entered the main channel in late summer after 85 days. Another two taimen entered surrounding smaller tributaries and recorded home ranges of 26.1 km and 29.2 km, while all remaining individuals were detected moving only within the waterway where they were originally captured and released (0.8–20.1 km). Taimen movements within tributaries such as the Balj can be extensive (<60 km), as they provide access to important spawning, feeding and overwintering habitats as well as refuge from adverse thermal and hydrological conditions. Thus to enhance population recovery, it is essential that current and future management and conservation efforts include preserving or restoring the ecological integrity and hydrological connectivity of these critical tributaries and the main river channel throughout the Onon and Amur River basins and across the remaining distribution of this endangered species.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Seasonal home range shifts of the Siberian taimen (Hucho taimenPallas 1773): Evidence from passive acoustic telemetry in the Onon River and Balj tributary (Amur River basin, Mongolia)

Kaus

Büttner

Schäffer

et al. 2016

Internat. Rev. Hydrobiol.

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“…These range from comparison with other, regional data sources (eg. 20,21,34 ), to global intercomparisons (eg. 22,35 ), using either in situ, satellite-based or reanalysis-based data sources.…”

Section: Cross-validation Of the Interpolated Anomaliesmentioning

confidence: 99%

Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset

et al. 2020

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CRU TS (Climatic Research Unit gridded Time Series) is a widely used climate dataset on a 0.5° latitude by 0.5° longitude grid over all land domains of the world except Antarctica. It is derived by the interpolation of monthly climate anomalies from extensive networks of weather station observations. Here we describe the construction of a major new version, CRU TS v4. It is updated to span 1901-2018 by the inclusion of additional station observations, and it will be updated annually. The interpolation process has been changed to use angular-distance weighting (ADW), and the production of secondary variables has been revised to better suit this approach. This implementation of ADW provides improved traceability between each gridded value and the input observations, and allows more informative diagnostics that dataset users can utilise to assess how dataset quality might vary geographically.

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“…A moderate increase in precipitation and a continuous, drastic increase in air temperature until the end of the 21st century leads to a slight decrease of simulated discharge [75]. Increasing water consumption around major cities in northern Mongolia is likely to exceed the increases in water availability [76,77]. Up-to-date quantitative information on land cover did not exist.…”

Section: Before the Project (2006)mentioning

confidence: 99%

Science-Based IWRM Implementation in a Data-Scarce Central Asian Region: Experiences from a Research and Development Project in the Kharaa River Basin, Mongolia

Karthe

Hofmann

Ibisch

et al. 2015

Water

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Abstract:Mongolia is not only a water-scarce but also a data-scarce country with regard to environmental information. At the same time, regional effects of global climate change, major land use changes, a booming mining sector, and growing cities with insufficient and decaying water and wastewater infrastructures result in an increasingly unsustainable exploitation and contamination of ground and surface water resources putting at risk both aquatic ecosystems and human health. For the mesoscale (≈15,000 km 2 ) model region of the Kharaa River Basin (KRB), we investigated (1) the current state of aquatic ecosystems, water availability and quality; (2) past and expected future trends in these fields and OPEN ACCESSWater 2015, 7 3487 their drivers; (3) water governance structures and their recent reforms; and (4) technical and non-technical interventions as potential components of an integrated water resources management (IWRM). By now, the KRB is recognized as one of the most intensively studied river basins of the country, and considered a model region for science-based water resources management by the Mongolian government which recently adopted the IWRM concept in its National Water Program. Based on the scientific results and practical experiences from a six-year project in the KRB, the potentials and limitations of IWRM implementation under the conditions of data-scarcity are discussed.

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Evaluation of large-scale precipitation data sets for water resources modelling in Central Asia

Cited by 31 publications

References 42 publications

Seasonal home range shifts of the Siberian taimen (Hucho taimenPallas 1773): Evidence from passive acoustic telemetry in the Onon River and Balj tributary (Amur River basin, Mongolia)

Seasonal home range shifts of the Siberian taimen (Hucho taimenPallas 1773): Evidence from passive acoustic telemetry in the Onon River and Balj tributary (Amur River basin, Mongolia)

Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset

Science-Based IWRM Implementation in a Data-Scarce Central Asian Region: Experiences from a Research and Development Project in the Kharaa River Basin, Mongolia

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