TY - JOUR
T1 - Ageing Knowledge Structure in Global River Basins
AU - Wei, Yongping
AU - Wu, Shuanglei
AU - Lu, Zhixiang
AU - Wang, Xuemei
AU - Wu, Xutong
AU - Xu, Li
AU - Sivapalan, Murugesu
N1 - This study is supported by Australian Research Council Special Research Initiative (SR200200186) and the University of Queensland Research Stimulus (UQ RS) Fellowship funding.
PY - 2022/4/6
Y1 - 2022/4/6
N2 - Understanding the historical evolution of science development for rethinking science in the Anthropocene is crucial for our future survival. This paper analyzed the knowledge development of the top 95 most researched river basins in the Web of Science database in the past 3 decades (1987–2017) using a network metric-based framework, comprising one scalar metric and three structural metrics: equality, efficiency, and resilience. We found that the highly researched river basins accounting about 30% of total publications, including the Yangtze River and the Great Lakes, demonstrated the “ageing” knowledge structures characterized by high inequality, low efficiency, and large redundancy with continuous expansion in scales. Dominations of knowledge interactions among Environmental Sciences, Water Resources, Marine Science and Freshwater Biology contributed to this knowledge structure. Transformations of both the composition and structure of the knowledge system is required to support global river basin management in the Anthropocene.
AB - Understanding the historical evolution of science development for rethinking science in the Anthropocene is crucial for our future survival. This paper analyzed the knowledge development of the top 95 most researched river basins in the Web of Science database in the past 3 decades (1987–2017) using a network metric-based framework, comprising one scalar metric and three structural metrics: equality, efficiency, and resilience. We found that the highly researched river basins accounting about 30% of total publications, including the Yangtze River and the Great Lakes, demonstrated the “ageing” knowledge structures characterized by high inequality, low efficiency, and large redundancy with continuous expansion in scales. Dominations of knowledge interactions among Environmental Sciences, Water Resources, Marine Science and Freshwater Biology contributed to this knowledge structure. Transformations of both the composition and structure of the knowledge system is required to support global river basin management in the Anthropocene.
KW - complex knowledge system
KW - knowledge scale
KW - knowledge structure
KW - network metric-based framework
KW - river basin management
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U2 - 10.3389/fenvs.2022.821342
DO - 10.3389/fenvs.2022.821342
M3 - Article
AN - SCOPUS:85128719799
SN - 2296-665X
VL - 10
JO - Frontiers in Environmental Science
JF - Frontiers in Environmental Science
M1 - 821342
ER -