Journal cover Journal topic
Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
doi:10.5194/hess-2016-618
© Author(s) 2016. This work is distributed
under the Creative Commons Attribution 3.0 License.
Research article
15 Dec 2016
Review status
This discussion paper has been under review for the journal Hydrology and Earth System Sciences (HESS). The manuscript was not accepted for further review after discussion.
Development of a participatory Bayesian network model for integrating ecosystem services into catchment-scale water resources management
Jie Xue1,2,3,4, Dongwei Gui1,2, Jiaqiang Lei1,2, Fanjiang Zeng1,2, Rong Huang1,2, and Donglei Mao5 1State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, Xinjiang, China
2Cele National Station of Observation and Research for Desert-Grassland Ecosystems, Cele 848300, Xinjiang, China
3Key Laboratory of Biogeography and Bioresource in Arid Zone, Chinese Academy of Sciences, Urumqi 830011, Xinjiang, China
4University of Chinese Academy of Sciences, Beijing 100049, China
5College of Geographical Science and Tourism, Xinjiang Normal University, Urumqi 830054, Xinjiang, China
Abstract. This paper proposes an ecosystem services–based integrated water resource management (IWRM) framework within which a participatory Bayesian network (BN) model that assists with the integration of IWRM is developed. The framework is divided three steps: (1) identifying water-related services of ecosystems; (2) analysis of the tradeoffs and synergy among users of water; and (3) ecosystem services–based IWRM implementation using the BN model. We present the development, evaluation and application of a participatory BN model with the involvement of four participant groups (stakeholders, water manager, water management experts, and research team) in Qira oasis area, Northwest China. As a typical catchment-scale region, the Qira oasis area is facing severe water competition between the demands of human activities and natural ecosystems. We demonstrate that the BN model developed provides effective integration of ecosystem services into a quantitative IWMR framework via public negotiation and feedback. The network results, sensitivity evaluation, and management scenarios are broadly accepted by the participant groups. The intervention scenarios from the model conclude that any water management measure remains unable to sustain the ecosystem health in water-related ecosystem services. Greater cooperation among the stakeholders is highly necessary for dealing with such water conflicts. In particular, a proportion of the agricultural water saved through improving water-use efficiency should be transferred to natural ecosystems via water trade. The BN model developed is appropriate for areas throughout the world in which there is intense competition for water between human activities and ecosystems – particularly in arid regions.

Citation: Xue, J., Gui, D., Lei, J., Zeng, F., Huang, R., and Mao, D.: Development of a participatory Bayesian network model for integrating ecosystem services into catchment-scale water resources management, Hydrol. Earth Syst. Sci. Discuss., doi:10.5194/hess-2016-618, 2016.
Jie Xue et al.
Jie Xue et al.

Viewed

Total article views: 244 (including HTML, PDF, and XML)

HTML PDF XML Total BibTeX EndNote
196 36 12 244 4 14

Views and downloads (calculated since 15 Dec 2016)

Cumulative views and downloads (calculated since 15 Dec 2016)

Viewed (geographical distribution)

Total article views: 244 (including HTML, PDF, and XML)

Thereof 243 with geography defined and 1 with unknown origin.

Country # Views %
  • 1

Saved

Discussed

Latest update: 23 May 2017
Publications Copernicus
Download
Short summary
There is an increasing consensus on the importance of integrating ecosystem services into integrated water resource management due to a wide range of benefits to human from the ecosystem services. This paper develops a participatory Bayesian network model to perform an ecosystem services-based water management framework under public participation. The participatory Bayesian network effectively provides the support of transdisciplinary water management.
There is an increasing consensus on the importance of integrating ecosystem services into...
Share