Predicting species' tolerance to salinity and alkalinity using distribution data and geochemical modelling: a case study using Australian grasses.
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Biodiversity analysis in the digital eraSalt tolerance is evolutionarily labile in a diverse set of angiosperm families.Phytostabilization of mine tailings using compost-assisted direct planting: Translating greenhouse results to the field.Plant salt tolerance: adaptations in halophytes.Prediction of Lime Tolerance in Based on Herbarium Specimen and Geochemical Data
P2860
Predicting species' tolerance to salinity and alkalinity using distribution data and geochemical modelling: a case study using Australian grasses.
description
2014 nî lūn-bûn
@nan
2014 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
Predicting species' tolerance ...... tudy using Australian grasses.
@ast
Predicting species' tolerance ...... tudy using Australian grasses.
@en
type
label
Predicting species' tolerance ...... tudy using Australian grasses.
@ast
Predicting species' tolerance ...... tudy using Australian grasses.
@en
prefLabel
Predicting species' tolerance ...... tudy using Australian grasses.
@ast
Predicting species' tolerance ...... tudy using Australian grasses.
@en
P2860
P50
P356
P1433
P1476
Predicting species' tolerance ...... study using Australian grasses
@en
P2093
Camile Moray
Lindell Bromham
P2860
P304
P356
10.1093/AOB/MCU248
P407
P577
2014-12-22T00:00:00Z