Shaun C. Cunningham

Shaun C. Cunningham

Auto-generated profile, based on publicly available information

Shaun C. Cunningham

Australian Centre for Biodiversity, School of Biological Sciences, Monash University, Victoria 3800, Australia

Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 September 2015 in Trends in Ecology & Evolution
Verified
Journal Article
Closed access
DND.G. Nimmo
D.G. Nimmo
RNR. Mac Nally
R. Mac Nally
SCS.C. Cunningham
S.C. Cunningham
AHA. Haslem
A. Haslem
ABA.F. Bennett
A.F. Bennett

1 July 2015 in Perspectives in Plant Ecology, Evolution and Systematics
Verified
Journal Article
Open access
SCS.C. Cunningham
S.C. Cunningham
RNR. Mac Nally
R. Mac Nally
PBPatrick Baker
Patrick Baker
TCTimothy Cavagnaro
Timothy Cavagnaro
JBJason Beringer
Jason Beringer
RTR.M. Thompson
R.M. Thompson
Not available.S.C. Cunningham, R. Mac Nally, P.J. Baker, T.R. Cavagnaro, J. Beringer, J.R. Thomson, R.M. Thompso

1 July 2013 in Annals of Botany
Verified
Journal Article
Open access
PDF file
MWMichelle Watt
Michelle Watt
SMS. Moosavi
S. Moosavi
SCS. C. Cunningham
S. C. Cunningham
JKJohn Kirkegaard
John Kirkegaard
Greg RebetzkeGreg Rebetzke
Greg Rebetzke
RRR. A. Richards
R. A. Richards
Root length and depth determine capture of water and nutrients by plants, and are targets for crop improvement. Here we assess a controlled-environment wheat seedling screen to determine speed, repeatability and relatedness to performance of young and adult plants in the field. Recombinant inbred lines (RILs) and diverse genotypes were grown in rolled, moist germination paper in growth cabinets, and primary root number and length were measured when leaf 1 or 2 were fully expanded. For comparison, plants were grown in the field and root systems were harvested at the two-leaf stage with either a shovel or a soil core. From about the four-leaf stage, roots were extracted with a steel coring tube only, placed directly over the plant and pushed to the required depth with a hydraulic ram attached to a tractor. In growth cabinets, repeatability was greatest (r = 0·8, P < 0·01) when the paper was maintained moist and seed weight, pathogens and germination times were controlled. Scanned total root length (slow) was strongly correlated (r = 0·7, P < 0·01) with length of the two longest seminal axile roots measured with a ruler (fast), such that 100–200 genotypes were measured per day. Correlation to field-grown roots at two sites at two leaves was positive and significant within the RILs and cultivars (r = 0·6, P = 0·01), and at one of the two sites at the five-leaf stage within the RILs (r = 0·8, P = 0·05). Measurements made in the field with a shovel or extracted soil cores were fast (5 min per core) and had significant positive correlations to scanner measurements after root washing and cleaning (>2 h per core). Field measurements at two- and five-leaf stages did not correlate with root depth at flowering. The seedling screen was fast, repeatable and reliable for selecting lines with greater total root length in the young vegetative phase in the field. Lack of significant correlation with reproductive stage root system depth at the field sites used in this study reflected factors not captured in the screen such as time, soil properties, climate variation and plant phenology.


26 February 2015 in Land Degradation & Development
Verified
Journal Article
Closed access
PDF file
JDJessica A. Drake
Jessica A. Drake
TCTimothy Cavagnaro
Timothy Cavagnaro
SCShaun C. Cunningham
Shaun C. Cunningham
WJW. Roy Jackson
W. Roy Jackson
ATAntonio Tony
Antonio Tony

14 June 2011 in Water Resources Research
Verified
Journal Article
Open access
PDF file
RNRalph Mac Nally
Ralph Mac Nally
SCShaun C. Cunningham
Shaun C. Cunningham
PBPatrick Baker
Patrick Baker
GHGillis J. Horner
Gillis J. Horner
JTJames R. Thomson
James R. Thomson
We review the human actions, proximal stressors and ecological responses for floodplain forests Australia's largest river system—the Murray‐Darling Basin. A conceptual model for the floodplain forests was built from extensive published information and some unpublished results for the system, which should provide a basis for understanding, studying and managing the ecology of floodplains that face similar environmental stresses. Since European settlement, lowlands areas of the basin have been extensively cleared for agriculture and remnant forests heavily harvested for timber. The most significant human intervention is modification of river flows, and the reduction in frequency, duration and timing of flooding, which are compounded by climate change (higher temperatures and reduced rainfall) and deteriorating groundwater conditions (depth and salinity). This has created unfavorable conditions for all life‐history stages of the dominant floodplain tree (Eucalyptus camaldulensis Dehnh.). Lack of extensive flooding has led to widespread dieback across the Murray River floodplain (currently 79% by area). Management for timber resources has altered the structure of these forests from one dominated by large, widely spreading trees to mixed‐aged stands of smaller pole trees. Reductions in numbers of birds and other vertebrates followed the decline in habitat quality (hollow‐bearing trees, fallen timber). Restoration of these forests is dependent on substantial increases in the frequency and extent of flooding, improvements in groundwater conditions, re‐establishing a diversity of forest structures, removal of grazing and consideration of these interacting stressors.