Preprints
https://doi.org/10.5194/hess-2016-618
https://doi.org/10.5194/hess-2016-618
15 Dec 2016
 | 15 Dec 2016
Status: this preprint has been retracted.

Development of a participatory Bayesian network model for integrating ecosystem services into catchment-scale water resources management

Jie Xue, Dongwei Gui, Jiaqiang Lei, Fanjiang Zeng, Rong Huang, and Donglei Mao

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.

This preprint has been retracted.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Jie Xue, Dongwei Gui, Jiaqiang Lei, Fanjiang Zeng, Rong Huang, and Donglei Mao

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
Jie Xue, Dongwei Gui, Jiaqiang Lei, Fanjiang Zeng, Rong Huang, and Donglei Mao
Jie Xue, Dongwei Gui, Jiaqiang Lei, Fanjiang Zeng, Rong Huang, and Donglei Mao

Viewed

Total article views: 1,256 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
843 342 71 1,256 81 105
  • HTML: 843
  • PDF: 342
  • XML: 71
  • Total: 1,256
  • BibTeX: 81
  • EndNote: 105
Views and downloads (calculated since 15 Dec 2016)
Cumulative views and downloads (calculated since 15 Dec 2016)

Viewed (geographical distribution)

Total article views: 1,225 (including HTML, PDF, and XML) Thereof 1,221 with geography defined and 4 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Discussed

Latest update: 14 Dec 2024
Download

This preprint has been retracted.

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.