TY - JOUR
T1 - Norms and values in sociohydrological models
AU - Roobavannan, Mahendran
AU - Van Emmerik, Tim H.M.
AU - Elshafei, Yasmina
AU - Kandasamy, Jaya
AU - Sanderson, Matthew R.
AU - Vigneswaran, Saravanamuthu
AU - Pande, Saket
AU - Sivapalan, Murugesu
N1 - This paper falls within the framework of the Panta-Rhei Research Initiative of the International Association of Hydrological Sciences (IAHS). We would like to acknowledge the US National Science Foundation's Socio-Environmental Synthesis Center (SESYNC; NSF award DBI-1052875) for their support of the project Toward Socio-hydrologic Synthesis: Modeling the Co-evolutionary Dynamics of Coupled Human, Water, and Ecological System
Acknowledgements. This paper falls within the framework of the Panta-Rhei Research Initiative of the International Association of Hydrological Sciences (IAHS). We would like to acknowledge the US National Science Foundation\u2019s Socio-Environmental Synthesis Center (SESYNC; NSF award DBI-1052875) for their support of the project \u201CToward Socio-hydrologic Synthesis: Modeling the Co-evolutionary Dynamics of Coupled Human, Water, and Ecological System\u201D. The paper benefited from constructive criticism and suggestions from reviewers Yongping Wei and Xi Chen and editor Anas Ghadouani for which we are grateful.
PY - 2018/2/23
Y1 - 2018/2/23
N2 - Sustainable water resources management relies on understanding how societies and water systems coevolve. Many place-based sociohydrology (SH) modeling studies use proxies, such as environmental degradation, to capture key elements of the social component of system dynamics. Parameters of assumed relationships between environmental degradation and the human response to it are usually obtained through calibration. Since these relationships are not yet underpinned by social-science theories, confidence in the predictive power of such place-based sociohydrologic models remains low. The generalizability of SH models therefore requires major advances in incorporating more realistic relationships, underpinned by appropriate hydrological and social-science data and theories. The latter is a critical input, since human culture - especially values and norms arising from it - influences behavior and the consequences of behaviors. This paper reviews a key social-science theory that links cultural factors to environmental decision-making, assesses how to better incorporate social-science insights to enhance SH models, and raises important questions to be addressed in moving forward. This is done in the context of recent progress in sociohydrological studies and the gaps that remain to be filled. The paper concludes with a discussion of challenges and opportunities in terms of generalization of SH models and the use of available data to allow future prediction and model transfer to ungauged basins.
AB - Sustainable water resources management relies on understanding how societies and water systems coevolve. Many place-based sociohydrology (SH) modeling studies use proxies, such as environmental degradation, to capture key elements of the social component of system dynamics. Parameters of assumed relationships between environmental degradation and the human response to it are usually obtained through calibration. Since these relationships are not yet underpinned by social-science theories, confidence in the predictive power of such place-based sociohydrologic models remains low. The generalizability of SH models therefore requires major advances in incorporating more realistic relationships, underpinned by appropriate hydrological and social-science data and theories. The latter is a critical input, since human culture - especially values and norms arising from it - influences behavior and the consequences of behaviors. This paper reviews a key social-science theory that links cultural factors to environmental decision-making, assesses how to better incorporate social-science insights to enhance SH models, and raises important questions to be addressed in moving forward. This is done in the context of recent progress in sociohydrological studies and the gaps that remain to be filled. The paper concludes with a discussion of challenges and opportunities in terms of generalization of SH models and the use of available data to allow future prediction and model transfer to ungauged basins.
UR - https://www.scopus.com/pages/publications/85042675132
UR - https://www.scopus.com/pages/publications/85042675132#tab=citedBy
U2 - 10.5194/hess-22-1337-2018
DO - 10.5194/hess-22-1337-2018
M3 - Article
AN - SCOPUS:85042675132
SN - 1027-5606
VL - 22
SP - 1337
EP - 1349
JO - Hydrology and Earth System Sciences
JF - Hydrology and Earth System Sciences
IS - 2
ER -