
The frontier evolution and emerging trends of hydrological connectivity in river systems: a scientometric review
Bowen LI, Zhifeng YANG, Yanpeng CAI, Bo LI
Front. Earth Sci. ›› 2021, Vol. 15 ›› Issue (1) : 81-93.
The frontier evolution and emerging trends of hydrological connectivity in river systems: a scientometric review
With the intensification of climate change and human activities, the watershed ecosystem is seriously fragmented, which leads to the obstruction of hydrological connectivity, and further causes the degradation of the ecosystem. As the value of wetlands continues to be exploited, hydrological connectivity becomes increasingly significant. In this paper, the characteristics and development of hydrological connectivity research from 1998 to 2018 were analyzed through the scientometric analysis based on Web of Science database. CiteSpace, an analytical software for scientific measurement, is used to visualize the results of the retrieval. The analysis results of co-occurrence, co-operative and co-cited network indicate that the hydrological connectivity is a multidisciplinary field which involves the Environment Science and Ecology, Water Resources, Environmental Sciences, Geology and Geosciences. According to Keyword co-occurrence analysis, ecosystem, floodplain, dynamics, climate change and management are the main research hotspots in each period. In addition, the co-cited analysis of references shows that “amphibians” is the largest cluster of hydrological connectivity, and the “channel network” is the most important research topic. It is worth noting that the “GIWS” (Geographically Isolated Wetlands) is the latest research topic and may be a major research direction in the future.
hydrological connectivity / citespace / ecosystem / geographically isolated wetlands
[1] |
Aarts B G W, Van Den Brink F W B, Nienhuis P H (2004). Habitat loss as the main cause of the slow recovery of fish faunas of regulated large rivers in Europe: the transversal floodplain gradient. River Res Appl, 20(1): 3–23
CrossRef
Google scholar
|
[2] |
Ali G, Roy A G (2009). Revisiting hydrologic sampling strategies for an accurate assessment of hydrologic connectivity in humid temperate systems. Geogr Compass, 3(1): 350–374
CrossRef
Google scholar
|
[3] |
Altermatt F, Seymour M, Martinez N (2013). River network properties shape α-diversity and community similarity patterns of aquatic insect communities across major drainage basins. J Biogeogr, 40(12): 2249
CrossRef
Google scholar
|
[4] |
Bracken L J, Wainwright J, Ali G A, Tetzlaff D, Smith M W, Reaney S M, Roy A G (2013). Concepts of hydrological connectivity: research approaches, pathways and future agendas. Earth Sci Rev, 119: 17–34
CrossRef
Google scholar
|
[5] |
Bracken L, Croke J (2007). The concept of hydrological connectivity and its contribution to understanding runoff-dominated geomorphic systems. Hydrol Processes, 21(13): 1749
CrossRef
Google scholar
|
[6] |
Carrara F, Altermatt F, Rodriguez-Iturbe I, Rinaldo A (2012). Dendritic connectivity controls biodiversity patterns in experimental metacommunities. Proc Natl Acad Sci USA, 109(15): 5761–5766
CrossRef
Pubmed
Google scholar
|
[7] |
Chadwick M (2008). Stream ecology: structure and function of running waters. Freshw Biol, 53(9): 1914
CrossRef
Google scholar
|
[8] |
Chapin III F S, Zavaleta E S, Eviner V T, Naylor R L, Reynolds H L, Hooper D U, Lavorel S, Sala O E, Hobbie S E, Mack M C, Díaz S, Sandra D (2000). Consequences of changing biodiversity. Nature, 405(6783): 234–242
CrossRef
Pubmed
Google scholar
|
[9] |
Chen C (2004). Searching for intellectual turning points: progressive knowledge domain visualization. Proc Natl Acad Sci USA, 101(Suppl 1): 5303–5310
CrossRef
Pubmed
Google scholar
|
[10] |
Chen C (2006). CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature. J Am Soc Inf Sci Technol, 57(3): 359–377
CrossRef
Google scholar
|
[11] |
Chovanec A, Waringer J (2001). Ecological integrity of river-floodplain systems-assessment by dragonfly surveys (Insecta: Odonata). Regul Rivers Res Manage, 17(4–5): 493–507
CrossRef
Google scholar
|
[12] |
Costa M, Aurélie B, Jeffrey C (2002). Effects of large-scale changes in land cover and climate variability in the discharge of the Tocantins River. In: AGU Fall Meeting
|
[13] |
Creed I, Band L (1998). Exploring functional similarity in the export of nitrate-n from forested catchments: a mechanistic modeling approach. Water Resour Res, 34(11): 3079–3093
CrossRef
Google scholar
|
[14] |
Croke J, Mockler S, Fogarty P, Takken I (2005). Sediment concentration changes in runoff pathways from a forest road network and the resultant spatial pattern of catchment connectivity. Geomorphology, 68(3-4): 257–268
CrossRef
Google scholar
|
[15] |
Cui X, Guo X, Wang Y, Wang X, Zhu W, Shi J, Lin C, Gao X (2019). Application of remote sensing to water environmental processes under a changing climate. J Hydrol (Amst), 574: 892–902
CrossRef
Google scholar
|
[16] |
Elmore A, Kaushal S S (2008). Disappearing headwaters: patterns of stream burial due to urbanization. Front Ecol Environ, 6(6): 308–312
CrossRef
Google scholar
|
[17] |
García-Lillo F, Úbeda-García M, Marco-Lajara B, Bartolomé
CrossRef
Google scholar
|
[18] |
Gumiero B, Mant J, Hein T, Elso J, Boz B (2013). Linking the restoration of rivers and riparian zones/wetlands in Europe: Sharing knowledge through case studies. Ecol Eng, 56: 36–50
CrossRef
Google scholar
|
[19] |
Hooke J (2003). Coarse sediment connectivity in river channel systems: A conceptual framework and methodology. Geomorphology, 56(1–2): 79–94
CrossRef
Google scholar
|
[20] |
Stocker T, Qin D, Plattner G,Tignor M, Allen S, Boschung J, Nauels A, Xia Y, Bex V, Midgley P (2013). IPCC Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge: Cambridge University Press
CrossRef
Google scholar
|
[21] |
Kaufman L, Rousseeuw P (1990). Partitioning boids (Program PAM). In: Finding Groups in Data: An Introduction to Cluster Analysis. 344: 68–125
|
[22] |
Kaus A, Michalski S, Hänfling B, Karthe D, Borchardt D, Durka W (2019). Fish conservation in the land of steppe and sky: Evolutionarily significant units of threatened salmonid species in Mongolia mirror major river basins. Ecol Evol, 9(6): 3416–3433
CrossRef
Pubmed
Google scholar
|
[23] |
Knudby C, Carrera J (2005). On the relationship between indicators of geostatistical, flow and transport connectivity. Adv Water Resour, 28(4): 405–421
CrossRef
Google scholar
|
[24] |
Lane S, Brookes C J, Kirkby M, Holden J (2004). A network-indexbased version of TOPMODEL for use with high-resolution digital topographic data. Hydrol Processes, 18(1): 191–201
CrossRef
Google scholar
|
[25] |
Liang C, Luo A, Zhong Z (2018). Knowledge mapping of medication literacy study: a visualized analysis using CiteSpace. SAGE Open Med, 6: 2050312118800199
CrossRef
Pubmed
Google scholar
|
[26] |
Liu J, Engel B A, Wang Y, Zhang G, Zhang Z, Zhang M (2020). Multi-scale analysis of hydrological connectivity and plant response in the Yellow River Delta. Sci Total Environ, 702: 134889
CrossRef
Pubmed
Google scholar
|
[27] |
Lowe W (2006). The trouble with rivers. Bioscience, 56(3): 260–263
CrossRef
Google scholar
|
[28] |
Malhi Y, Roberts J T, Betts R A, Killeen T J, Li W, Nobre C A (2008). Climate change, deforestation, and the fate of the Amazon. Science, 319(5860): 169–172
CrossRef
Pubmed
Google scholar
|
[29] |
Matson P A, Parton W J, Power A G, Swift M J (1997). Agricultural intensification and ecosystem properties. Science, 277(5325): 504–509
CrossRef
Pubmed
Google scholar
|
[30] |
Meng B, Liu J L, Bao K, Sun B (2020). Methodologies and management framework for restoration of wetland hydrologic connectivity: a synthesis. Integr Environ Assess Manag, 16(4): 438–451
CrossRef
Pubmed
Google scholar
|
[31] |
Obolewski K (2011). Macrozoobenthos Patterns along Environmental Gradients and Hydrological Connectivity of Oxbow Lakes. Ecol Eng, 37(5): 796–805
CrossRef
Google scholar
|
[32] |
Ocampo C J, Sivapalan M, Oldham C (2006). Hydrological connectivity of upland-riparian zones in agricultural catchments: implications for runoff generation and nitrate transport. J Hydrol (Amst), 331(3–4): 643–658
CrossRef
Google scholar
|
[33] |
Ouyang W, Wang Y, Lin C, He M, Hao F, Liu H, Zhu W (2018). Heavy metal loss from agricultural watershed to aquatic system: a scientometrics review. Sci Total Environ, 637-638: 208–220
CrossRef
Pubmed
Google scholar
|
[34] |
Phillipsen I C, Kirk E H, Bogan M T, Mims M C, Olden J D, Lytle D A (2015). Dispersal ability and habitat requirements determine landscape-level genetic patterns in desert aquatic insects. Mol Ecol, 24(1): 54–69
Pubmed
|
[35] |
Pringle C (2001). Hydrologic connectivity and the management of biological reserves: a global perspective. Ecol Appl, 11(4): 981–998
CrossRef
Google scholar
|
[36] |
Pringle C (2003). What is hydrologic connectivity and Why is it ecologically important? Hydrol Processes, 17(13): 2685–2689
CrossRef
Google scholar
|
[37] |
Read E K, Patil V P, Oliver S K, Hetherington A L, Brentrup J A, Zwart J A, Winters K M, Corman J R, Nodine E R, Woolway R I, Dugan H A, Jaimes A, Santoso A B, Hong G S, Winslow L A, Hanson P C, Weathers K C (2015). The importance of lake-specific characteristics for water quality across the continental United States. Ecol Appl, 25(4): 943–955
CrossRef
Pubmed
Google scholar
|
[38] |
Seymour M, Fronhofer E A, Altermatt F (2015). Dendritic network structure and dispersal affect temporal dynamics of diversity and species persistence. Oikos, 124(7): 908–916
CrossRef
Google scholar
|
[39] |
Shao X, Fang Y, Jawitz J W, Yan J, Cui B (2019). River network connectivity and fish diversity. Sci Total Environ, 689: 21–30
CrossRef
Pubmed
Google scholar
|
[40] |
Stieglitz M, Shaman J, McNamara J, Engel V, Shanley J, Kling G (2003). An approach to understanding hydrologic connectivity on the hillslope and the implications for nutrient transport. Global Biogeochem Cycles, 17(4): 17
CrossRef
Google scholar
|
[41] |
Tan , Zhang T (2018). Robust fractional programming approach for improving agricultural water-use efficy under uncertainty. J Hydrol, 567: 1110–1119
CrossRef
Google scholar
|
[42] |
Tetzlaff D, Soulsby C, Bacon P J, Youngson A F, Gibbins C, Malcolm I A (2007). Connectivity between landscapes and riverscapes—a unifying theme in integrating hydrology and ecology in catchment science? Hydrol Processes, 21(10): 1385–1389
CrossRef
Google scholar
|
[43] |
Vannote R L, Minshall G W, Cummins K, Sedell J R, Cushing C E (1980). The river continuum concept. Can J Fish Aquat Sci, 37(1): 130–137
CrossRef
Google scholar
|
[44] |
Vidon P, Hill A R (2004). Landscape controls on nitrate removal in stream riparian zones. Water Resour Res, 40(3): 40
CrossRef
Google scholar
|
[45] |
Ward J (1989). The four dimensional nature of lotic ecosystems. J N Am Benthol Soc, 8(1): 2–8
CrossRef
Google scholar
|
[46] |
Xie P (2015). Study of international anticancer research trends via co-word and document co-citation visualization analysis. Scientometrics, 105(1): 611
CrossRef
Google scholar
|
[47] |
Yang S, Sui J, Liu T, Wu W, Xu S, Yin L, Pu Y, Zhang X, Zhang Y, Shen B, Liang G (2018). Trends on PM2.5 research, 1997–2016: a bibliometric study. Environ Sci Pollut Res Int, 25(13): 12284–12298
CrossRef
Pubmed
Google scholar
|
[48] |
Yu D J (2015). A scientometrics review on aggregation operator research. Scientometrics, 105(1): 115–133
CrossRef
Google scholar
|
[49] |
Yu D J, Xu Z S, Pedrycz W, Wang W R (2017). Information sciences 1968–2016: a retrospective analysis with text mining and bibliometric. Inf Sci, 418–419: 619–634
CrossRef
Google scholar
|
[50] |
Zhang M, Gao M, Yue S, Zheng T, Gao Z, Ma X, Wang Q (2018). Global tr ends and future prospects of food waste research: a bibliometric analysis. Environ Sci Pollut Res Int, 25(25): 24600–24610
CrossRef
Pubmed
Google scholar
|
[51] |
Zhang S, Tan Q, Cai Y, Zhang T, Song G (2019). Mathematical analyses of ecological and economic tradeoffs in irrigated agriculture based on inexact optimization principles and hierarchical crop projections. J Clean Prod, 235: 69–84
CrossRef
Google scholar
|
/
〈 |
|
〉 |