Data from: Identifying environmental correlates of intraspecific genetic variation

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关键词：

Murray cod;genetic diversity;freshwater fishes;Maccullochella peelii;Landscape Genetics;ecological modelling;Holocene;evolutionary potential;conservation genetics

DOI：

doi:10.5061/dryad.4bg42

摘要：

extensive river regulation across eastern Australia has not had an overall positive effect on Murray cod numbers over the past century, regulation ma

Data from: Signatures of polygenic adaptation associated with climate across the range of a threatened fish species with high genetic connectivity

负责人：

Harrisson, Katherine

关键词：

Adaptation Conservation Genetics Ecological Genetics Fisheries Management Landscape Genetics Wildlife Management

DOI：

doi:10.5061/dryad.57m0f

摘要：

of adaptation across the geographic range of an iconic Australian endemic freshwater fish species, the Murray cod Maccullochella peelii. Two univariate

Data from: Increased population size of fish in a lowland river following restoration of structural habitat

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关键词：

DOI：

doi:10.5061/dryad.7344f3r

摘要：

, length, and tagging data over seven years for Murray cod (Maccullochella peelii) and golden perch (Macquaria ambigua) in a restored ‘intervention’ reach

Data from: Estimating population size in the presence of temporary migration using a joint analysis of telemetry and capture recapture data

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关键词：

telemetry tagging;Maccullochella macquariensis;temporary migration;Capture recapture;2007-2012;Trout Cod

DOI：

doi:10.5061/dryad.3bn27

摘要：

in the Murray river, Australia, accounting for temporary migration led to overall higher estimates of capture probabilities than models assuming permanent or zer

Data from: Including community composition in biodiversity-productivity models

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关键词：

Linaria vulgaris Mill.;Hypericum perforatum L.;Juglans regia L.;Rubus sp.;Digitaria sanguinalis (L.) Scop.;Juncus sp.;Tanacetum vulgare L.;Pastinaca sativa L.;Polygonum aviculare L.;Leucanthemum vulgare Lam.;Euphorbia stricta L.;Sonchus asper (L.) Hill;Epilobium sp.;Capsella bursa-pastoris (L.) Medik.;Onobrychis viciifolia Scop.;Sinapis alba L.;Anthemis tinctoria L.;Centaurea cyanus L.;Chenopodium sp.;Ranunculus repens L.;Elymus repens (L.) Gould;Scrophularia nodosa L.;Sonchus arvensis L.;Mercurialis annua L.;Stellaria media (L.) Vill.;Centaurea jacea L.;Festuca sp.;Conyza canadensis (L.) Cronquist;Galium aparine L.;Campanula patula L.;Sonchus oleraceus L.;Lotus corniculatus L.;Cichorium intybus L.;Senecio vulgaris L.;Filaginella uliginosa (L.) Opiz;Lactuca serriola L.;Taraxacum officinale;Plantago major L.;Salix alba L.;Geranium rotundifolium L.;Lamium amplexicaule L.;Melilotus albus Medik.;Polygonum mite (=Persicaria laxiflora);Veronica serpyllifolia L.;Acer pseudoplatanus;Medicago sativa L.;Agrostis stolonifera L.;Cirsium arvense (L.) Scop.;Daucus carota L.;Orobanche sp.;Dactylis glomerata L.;Echium vulgare L.;Phleum pratense agg.;Polygonum sp.;Convolvulus arvensis L.;Glechoma hederacea L.;Kickxia spuria (L.) Dumort.;Malva moschata L.;Echinochloa crus-galli (L.) P.Beauv.;Chaenorhinum minus (L.) Lange;Rumex obtusifolius L.;Origanum vulgare L.;Oenothera biennis L.;Malva sylvestris L.;Triticum sp.;Galinsoga ciliata (Raf.) S.F.Blake;Lamium purpureum L.;Holcus lanatus L.;Prunella vulgaris L.;species composition;percentage cover;Verbena officinalis L.;Verbascum thapsus L.;Setaria pumila (Poir.) Schult.;Equisetum arvense L.;Chenopodium album L.;Fallopia convolvulus (L.) A. L?we;Medicago lupulina L.;Poaceae (undetermined);Myosotis arvensis (L.) Hill;Lolium perenne L.;Plantago lanceolata L.;Vicia hirsuta (L.) Gray;Chenopodium polyspermum L.;Silene latifolia Poir.;Achillea millefolium L.;Trifolium repens L.;Dipsacus fullonum L.;Verbascum lychnitis L.;Papaver rhoeas L.;Aethusa cynapium L.;Euphorbia helioscopia L.;Kickxia elatine (L.) Dumort.;Juncus bufonius L.;Trifolium pratense L.;Galium album;Solanum nigrum L.;Agrostemma githago L.;Apera spica-venti (L.) P.Beauv.;Poa annua L.;Sagina apetala Ard.;Oxalis stricta L.;Crepis biennis L.;Arrhenatherum elatius (L.) P.Beauv. ex J.Presl & C.Presl;biodiversity;Brassica napus L.;ecosystem functioning;Potentilla reptans L.;Salix caprea L.;Amaranthus retroflexus L.;Anagallis arvensis L.;Chamomilla recutita (L.) Rauschert;Mentha arvensis L.;Veronica persica Poir.;Urtica dioica L.;Cerastium sp.;Viola arvensis Murray

DOI：

doi:10.5061/dryad.d2v35

摘要：

r performance. We use an original dataset to illustrate the analyses. The classical method where composition is coded as a factor with a level for each different