63 citations as recorded by crossref.

1. Setting the Flow Accumulation Threshold Based on Environmental and Morphologic Features to Extract River Networks from Digital Elevation Models H. Zhang et al. https://doi.org/10.3390/ijgi10030186
2. Nitrogen loads explain primary productivity in estuaries at the ecosystem scale R. Woodland et al. https://doi.org/10.1002/lno.10136
3. Hydrographic correlates of within‐river distribution and population genetic structure in two widespread species of mountain galaxias (Teleostei, Galaxiidae) in southern Australia B. Cook et al. https://doi.org/10.1111/fwb.13238
4. Quantifying spatial and temporal patterns of flow intermittency using spatially contiguous runoff data S. Yu (于松延) et al. https://doi.org/10.1016/j.jhydrol.2018.03.009
5. Identifying priority areas for surface water protection in data scarce regions: An integrated spatial analysis for Zambia B. Lehner et al. https://doi.org/10.1002/aqc.3606
6. A data set of global river networks and corresponding water resources zones divisions D. Yan et al. https://doi.org/10.1038/s41597-019-0243-y
7. The role of catchment land use and tidal exchange in structuring estuarine fish assemblages F. Warry et al. https://doi.org/10.1007/s10750-017-3487-6
8. Freshwater fish condition responses to hydrological disturbance are species‐ and scale dependent M. Mallett et al. https://doi.org/10.1111/jfb.70033
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10. Catchment land use predicts benthic vegetation in small estuaries P. Cook et al. https://doi.org/10.7717/peerj.4378
11. Towards a national bio-environmental data facility: experiences from the Atlas of Living Australia L. Belbin & K. Williams https://doi.org/10.1080/13658816.2015.1077962
12. Essential Biodiversity Variables for measuring change in global freshwater biodiversity E. Turak et al. https://doi.org/10.1016/j.biocon.2016.09.005
13. Looking to the past to ensure the future of the world's oldest living vertebrate: Isotopic evidence for multi‐decadal shifts in trophic ecology of the Australian lungfish J. Olden et al. https://doi.org/10.1002/rra.3369
14. Latitudinal variation in climate‐associated genes imperils range edge populations S. Smith et al. https://doi.org/10.1111/mec.15637
15. Connectivity, habitat, and flow regime influence fish assemblage structure: Implications for environmental water management in a perennial river of the wet–dry tropics of northern Australia B. Pusey et al. https://doi.org/10.1002/aqc.3347
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17. Cryptic species, biogeography, and patterns of introgression in the fish genus Mogurnda (Eleotridae) from the Australian wet tropics: A purple patch for purple-spots S. Amini et al. https://doi.org/10.1016/j.ympev.2025.108344
18. Phylogenomic history of enigmatic pygmy perches: implications for biogeography, taxonomy and conservation S. Buckley et al. https://doi.org/10.1098/rsos.172125
19. Molecular phylogeny of subgenus Polypompholyx (Utricularia; Lentibulariaceae) based on three plastid markers: diversification and proposal for a new section R. Jobson et al. https://doi.org/10.1071/SB17003
20. Freshwater fishes of northern Australia B. PUSEY et al. https://doi.org/10.11646/zootaxa.4253.1.1
21. Life in the “dead heart” of Australia: The geohistory of the Australian deserts and its impact on genetic diversity of arid zone lizards M. Pepper & J. Keogh https://doi.org/10.1111/jbi.14063
22. Assessing impacts of a notorious invader (common carp Cyprinus carpio) on Australia's aquatic ecosystems: Coupling abundance-impact relationships with a spatial biomass model B. Fanson et al. https://doi.org/10.1016/j.biocon.2023.110420
23. Prioritizing management actions for the conservation of freshwater biodiversity under changing climate and land-cover C. Mantyka-Pringle et al. https://doi.org/10.1016/j.biocon.2016.02.033
24. An Enhanced Pfafstetter Catchment Reference System J. Stein https://doi.org/10.1029/2018WR023218
25. Ground‐dwelling mammal diversity responds positively to productivity and habitat heterogeneity in a fire‐prone region M. Swan et al. https://doi.org/10.1002/ecs2.3248
26. On the quality of the drainage network cartographic representation T. Sampaio & J. Rocha https://doi.org/10.1016/j.ecolind.2022.109350
27. Linking fuel, habitat and ground-dwelling mammals in flammable landscapes E. Rochelmeyer et al. https://doi.org/10.1016/j.foreco.2019.03.021
28. Geological permeability controls streamflow generation in a remote, ungauged, semi-arid drainage system S. Bourke et al. https://doi.org/10.1016/j.ejrh.2021.100956
29. Identifying priority aquatic refuges to sustain freshwater biodiversity in intermittent streams in eastern Australia S. Yu et al. https://doi.org/10.1002/aqc.3871
30. A stitch in time – Synergistic impacts to platypus metapopulation extinction risk G. Bino et al. https://doi.org/10.1016/j.biocon.2019.108399
31. Storage in South‐Eastern Australian Catchments A. Buzacott & R. Vervoort https://doi.org/10.1029/2021WR029799
32. Conservation planning for environmental water to climate refugia in the manageable Murray–Darling Basin J. Bennett et al. https://doi.org/10.1016/j.jenvman.2025.127184
33. A new vector-based global river network dataset accounting for variable drainage density P. Lin et al. https://doi.org/10.1038/s41597-021-00819-9
34. Coupling environment and physiology to predict effects of climate change on the taxonomic and functional diversity of fish assemblages in the Murray-Darling Basin, Australia A. Galego de Oliveira et al. https://doi.org/10.1371/journal.pone.0225128
35. Conceptual Models and Calibration Performance—Investigating Catchment Bias A. Buzacott et al. https://doi.org/10.3390/w11112424
36. Globally Universal Fractal Pattern of Human Settlements in River Networks Y. Fang et al. https://doi.org/10.1029/2017EF000746
37. Incorporating species losses and gains into a fish-based index for stream bioassessment increases the detection of anthropogenic disturbances P. Rose et al. https://doi.org/10.1016/j.ecolind.2016.05.033
38. Species distributions represent intraspecific genetic diversity of freshwater fish in conservation assessments V. Hermoso et al. https://doi.org/10.1111/fwb.12810
39. Stable isotopes of nitrate reveal different nitrogen processing mechanisms in streams across a land use gradient during wet and dry periods W. Wong et al. https://doi.org/10.5194/bg-15-3953-2018
40. Biogeographical patterns of endemic diversity and its conservation in Australia's artesian desert springs R. Rossini et al. https://doi.org/10.1111/ddi.12757
41. Testing Three Species Distribution Modelling Strategies to Define Fish Assemblage Reference Conditions for Stream Bioassessment and Related Applications P. Rose et al. https://doi.org/10.1371/journal.pone.0146728
42. Development and Application of Predictive Models of Surface Water Extent to Identify Aquatic Refuges in Eastern Australian Temporary Stream Networks S. Yu et al. https://doi.org/10.1029/2019WR025216
43. Nitrogen stable isotope values of large-bodied consumers reflect urbanization of coastal catchments F. Warry et al. https://doi.org/10.3354/meps11543
44. Global hydro-environmental sub-basin and river reach characteristics at high spatial resolution S. Linke et al. https://doi.org/10.1038/s41597-019-0300-6
45. Field‐measured variables outperform derived alternatives in Maryland stream biodiversity models M. Johnston et al. https://doi.org/10.1111/ddi.12598
46. Spatial variability of ecosystem exposure to home and personal care chemicals in Asia O. Jolliet et al. https://doi.org/10.1016/j.envint.2019.105260
47. Evaluating a landscape-scale daily water balance model to support spatially continuous representation of flow intermittency throughout stream networks S. Yu et al. https://doi.org/10.5194/hess-24-5279-2020
48. Distribution, habitat and population structure of the threatened Manning River helmeted turtle, Myuchelys purvisi B. Chessman et al. https://doi.org/10.1111/aec.13366
49. From topography to hydrology—The modifiable area unit problem impacts freshwater species distribution models M. Friedrichs‐Manthey et al. https://doi.org/10.1002/ece3.6110
50. Ecological disturbance influences adaptive divergence despite high gene flow in golden perch (Macquaria ambigua): Implications for management and resilience to climate change C. Attard et al. https://doi.org/10.1111/mec.14438
51. Strategies for smarter catchment hydrology models: incorporating scaling and better process representation R. Sidle https://doi.org/10.1186/s40562-021-00193-9
52. TATOO – Python Topographic Analysis Tool Library for semi-automated setup of high-resolution integrated hydrologic models J. Mitterer https://doi.org/10.1016/j.envsoft.2022.105406
53. Thermal Regimes of Perennial Rivers and Streams in the Western United States D. Isaak et al. https://doi.org/10.1111/1752-1688.12864
54. A revision of the bioregionalisation of freshwater fish communities in the Australian Monsoonal Tropics J. Shelley et al. https://doi.org/10.1002/ece3.5059
55. Macroinvertebrate community changes in response to riparian revegetation activities and land cover using historical datasets M. Sampson et al. https://doi.org/10.1016/j.scitotenv.2026.181815
56. Prediction of Hydrologic Characteristics for Ungauged Catchments to Support Hydroecological Modeling N. Bond & M. Kennard https://doi.org/10.1002/2017WR021119
57. Hydro-geodetic approach for predicting river runoff in ungauged basins using gravity and altimetry satellite data F. Touati et al. https://doi.org/10.1080/02626667.2025.2458541
58. Distribution, abundance and population structure of the threatened western saw-shelled turtle, Myuchelys bellii, in New South Wales, Australia B. Chessman https://doi.org/10.1071/ZO15034
59. Sink or swim? Potential for high faunal turnover in Australian rivers under climate change C. James et al. https://doi.org/10.1111/jbi.12926
60. Hydromorphological attributes for all Australian river reaches derived from Landsat dynamic inundation remote sensing J. Hou et al. https://doi.org/10.5194/essd-11-1003-2019
61. On the roles of landscape heterogeneity and environmental variation in determining population genomic structure in a dendritic system C. Brauer et al. https://doi.org/10.1111/mec.14808
62. Global‐scale river network extraction based on high‐resolution topography and constrained by lithology, climate, slope, and observed drainage density A. Schneider et al. https://doi.org/10.1002/2016GL071844
63. Landscape genetics informs mesohabitat preference and conservation priorities for a surrogate indicator species in a highly fragmented river system J. Lean et al. https://doi.org/10.1038/hdy.2016.111