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1.
Sci Total Environ ; 798: 149170, 2021 Dec 01.
Article in English | MEDLINE | ID: mdl-34332378

ABSTRACT

Effects of dam operation and extraction of water from rivers on spatial variation in hydrological regimes, and consequences for freshwater biodiversity, are widely predicted but seldom assessed empirically. Evidence of linkages between hydrology and beta diversity contributes to water-management decisions to support landscape-scale biodiversity and avoid inadvertently contributing to further biodiversity decline. Using six lowland rivers in Australia's Murray - Darling Basin that formed a gradient of hydrological alteration, we examined (1) spatial variation in hydrology under modelled scenarios of low water-resource development and flow modification by dams and extraction, (2) how beta diversity of fish among and within rivers was associated with spatial hydrological variation and whether patterns of overall beta diversity differed between native and non-native species, and (3) the associations of spatial and environmental variables and both recent and long-term hydrology with beta diversity. Spatial variation in hydrology among rivers was higher under the modified scenario than under the low-development scenario yet change in the magnitude of within-river (longitudinal) variation was inconsistent between rivers. Beta diversity among rivers was significantly associated with spatial variation in hydrology only in certain circumstances (native species assemblages in specific years). Within-river beta diversity varied among rivers yet was unrelated to longitudinal variation in modified hydrological regimes. Patterns of beta diversity did not differ appreciably if non-native species were included in or excluded from analyses. These findings contradict predictions adopted in ecohydrological science that water resource development homogenises hydrological regimes, in turn causing biotic homogenisation in lowland rivers.


Subject(s)
Ecosystem , Hydrology , Animals , Biodiversity , Fishes , Rivers
2.
Zootaxa ; 4661(1): zootaxa.4661.1.3, 2019 Aug 27.
Article in English | MEDLINE | ID: mdl-31716717

ABSTRACT

The crane fly genus Rhabdomastix Skuse, 1890 is briefly introduced, the four species hitherto known from Australia are reviewed. The male of R. tonnoirana Alexander, 1934 and the female of R. wilsoniana Alexander, 1934 are described for the first time and R. minima Alexander, 1926 is considered as nomen dubium. A further eight Australian species are described as new, their affinities and distributions are discussed. They are R. borroloola sp. nov., R. dobrotworskyi sp. nov., R. dooragana sp. nov., R. hirsuta sp. nov., R. nivalis sp. nov., R. ponticulus sp. nov., R. collessiana sp. nov., R. rosae sp. nov.  A key to the males of Australian Rhabdomastix is presented.


Subject(s)
Diptera , Animal Distribution , Animal Structures , Animals , Australia , Female , Male , Nematocera
3.
Biol Rev Camb Philos Soc ; 93(2): 971-995, 2018 05.
Article in English | MEDLINE | ID: mdl-29115026

ABSTRACT

Of all ecosystems, freshwaters support the most dynamic and highly concentrated biodiversity on Earth. These attributes of freshwater biodiversity along with increasing demand for water mean that these systems serve as significant models to understand drivers of global biodiversity change. Freshwater biodiversity changes are often attributed to hydrological alteration by water-resource development and climate change owing to the role of the hydrological regime of rivers, wetlands and floodplains affecting patterns of biodiversity. However, a major gap remains in conceptualising how the hydrological regime determines patterns in biodiversity's multiple spatial components and facets (taxonomic, functional and phylogenetic). We synthesised primary evidence of freshwater biodiversity responses to natural hydrological regimes to determine how distinct ecohydrological mechanisms affect freshwater biodiversity at local, landscape and regional spatial scales. Hydrological connectivity influences local and landscape biodiversity, yet responses vary depending on spatial scale. Biodiversity at local scales is generally positively associated with increasing connectivity whereas landscape-scale biodiversity is greater with increasing fragmentation among locations. The effects of hydrological disturbance on freshwater biodiversity are variable at separate spatial scales and depend on disturbance frequency and history and organism characteristics. The role of hydrology in determining habitat for freshwater biodiversity also depends on spatial scaling. At local scales, persistence, stability and size of habitat each contribute to patterns of freshwater biodiversity yet the responses are variable across the organism groups that constitute overall freshwater biodiversity. We present a conceptual model to unite the effects of different ecohydrological mechanisms on freshwater biodiversity across spatial scales, and develop four principles for applying a multi-scaled understanding of freshwater biodiversity responses to hydrological regimes. The protection and restoration of freshwater biodiversity is both a fundamental justification and a central goal of environmental water allocation worldwide. Clearer integration of concepts of spatial scaling in the context of understanding impacts of hydrological regimes on biodiversity will increase uptake of evidence into environmental flow implementation, identify suitable biodiversity targets responsive to hydrological change or restoration, and identify and manage risks of environmental flows contributing to biodiversity decline.


Subject(s)
Biodiversity , Fresh Water , Wetlands , Animals , Conservation of Water Resources , Hydrology , Models, Biological
4.
J Environ Manage ; 90(8): 2652-8, 2009 Jun.
Article in English | MEDLINE | ID: mdl-19285374

ABSTRACT

Bioregional classifications are used extensively for conservation management and monitoring programs. This study used generalised dissimilarity modelling (GDM) to test the ability of different regional classifications of four groups of aquatic biota to be used as surrogates for each other. Classifications were derived for aquatic macrophytes, macroinvertebrates, freshwater fish and frogs using community-level modelling, or GDM, which relates the biotic assemblage structure with environmental variables. Six regions were defined for each biotic group for the State of New South Wales. Regional classifications differed markedly between the different biotic groups because the environmental drivers that were related to species turnover throughout the region differed among groups. Altitude and rainfall were the strongest drivers of species turnover among the groups. Results suggest that physiographic variables should be incorporated in reserve design and monitoring programs to explicitly address differences in classifications between similar biotic groups.


Subject(s)
Conservation of Natural Resources/methods , Environmental Monitoring/methods , Australia , Geography
5.
Environ Monit Assess ; 117(1-3): 173-92, 2006 Jun.
Article in English | MEDLINE | ID: mdl-16917706

ABSTRACT

Rapid bioassessment (RBA) techniques for evaluating river health are now commonplace and there is much debate on the best methods that should be used. One of the important features of RBA is subsampling of large qualitative or semi-quantitative samples to reduce the costs associated with handling and identifying animals. In Australia, the Australian River Assessment System (known as "AusRivAS") has been widely used since 1994 to monitor and assess river health. To test the efficacy of AusRivAS protocols, four live-sorting protocols, the standard Australian River Assessment Scheme (AusRivAS) and three suggested improvements, were evaluated in three habitat types and in clear and turbid rivers. The suggested improvements included using magnification during the live-sort process, separate sorting of coarse and fine fractions and increasing the amount of time or animals collected. There was no statistically significant difference between any of the trialed live-sort protocols in terms of the number of taxa collected compared to the number remaining, the community composition, the abundances of individual families collected, or the AusRivAS Observed/Expected taxa ratios. The lack of differences between the live-sort protocols suggests that technicians using the current standard AusRivAS protocols are able to effectively obtain a representative subsample of animals from the whole kick or sweep net qualitative sample. This has the advantage of cost savings because no retraining will be required, field procedures will remain uncomplicated and previous river health assessments will remain valid.


Subject(s)
Environmental Monitoring/methods , Invertebrates , Animals
6.
Environ Monit Assess ; 114(1-3): 553-71, 2006 Mar.
Article in English | MEDLINE | ID: mdl-16570220

ABSTRACT

We studied the multiscale (sites, river reaches and rivers) and short-term temporal (monthly) variability in a freshwater fish assemblage. We found that small-scale spatial variation and short-term temporal variability significantly influenced fish community structure in the Macquarie and Namoi Rivers. However, larger scale spatial differences between rivers were the largest source of variation in the data. The interaction between temporal change and spatial variation in fish community structure, whilst statistically significant, was smaller than the variation between rivers. This suggests that although the fish communities within each river changed between sampling occasions, the underlying differences between rivers were maintained. In contrast, the strongest interaction between temporal and spatial effects occurred at the smallest spatial scale, at the level of individual sites. This means whilst the composition of the fish assemblage at a given site may fluctuate, the magnitude of these changes is unlikely to affect larger scale differences between reaches within rivers or between rivers. These results suggest that sampling at any time within a single season will be sufficient to show spatial differences that occur over large spatial scales, such as comparisons between rivers or between biogeographical regions.


Subject(s)
Environmental Monitoring/methods , Environmental Monitoring/statistics & numerical data , Fishes/growth & development , Rivers , Animals , Fishes/classification , New South Wales , Population Dynamics , Random Allocation , Species Specificity
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