Rhys Whitley

ORCID: 0000-0003-4684-6960
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About
Contact & Profiles
Research Areas
  • Hydrology and Watershed Management Studies
  • Plant Water Relations and Carbon Dynamics
  • Flood Risk Assessment and Management
  • Fire effects on ecosystems
  • Hydrology and Drought Analysis
  • Numerical methods in engineering
  • Forest ecology and management
  • Climate variability and models
  • Precipitation Measurement and Analysis
  • Soil and Unsaturated Flow
  • Advanced Numerical Methods in Computational Mathematics
  • Ecology and Vegetation Dynamics Studies
  • Remote Sensing in Agriculture
  • Tree-ring climate responses
  • Soil Carbon and Nitrogen Dynamics
  • Matrix Theory and Algorithms
  • Soil erosion and sediment transport
  • Meteorological Phenomena and Simulations
  • Pasture and Agricultural Systems
  • Regional Development and Policy
  • Quality of Life Measurement
  • Soil, Finite Element Methods
  • Mathematical functions and polynomials
  • Differential Equations and Boundary Problems
  • Cryospheric studies and observations

Terrestrial Ecosystem Research Network
2017

Macquarie University
2015-2017

University of California, Irvine
1993-2014

University of Technology Sydney
2007-2012

Virginia Mason Bainbridge Island Medical Center
2006-2009

Park University
1965

10.1090/s0002-9947-1964-0177302-2 article EN Transactions of the American Mathematical Society 1964-01-01

Daily and seasonal patterns of tree water use were measured for the two dominant species, Angophora bakeri E.C.Hall (narrow-leaved apple) Eucalyptus sclerophylla (Blakely) L.A.S. Johnson & Blaxell (scribbly gum), in a temperate, open, evergreen woodland using sap flow sensors, along with information about soil, leaf, micro-climatological variables. The aims this work to: (a) validate soil-plant-atmosphere (SPA) model specific site; (b) determine total depth from which uptake must occur to...

10.1071/fp08114 article EN Functional Plant Biology 2008-01-01

Abstract. Bioclimatic indices for use in studies of ecosystem function, species distribution, and vegetation dynamics under changing climate scenarios depend on estimates surface fluxes other quantities, such as radiation, evapotranspiration soil moisture, which direct observations are sparse. These quantities can be derived indirectly from meteorological variables, near-surface air temperature, precipitation cloudiness. Here we present a consolidated set simple process-led algorithms...

10.5194/gmd-10-689-2017 article EN cc-by Geoscientific model development 2017-02-14

Abstract. The savanna ecosystem is one of the most dominant and complex terrestrial biomes, deriving from a distinct vegetative surface comprised co-dominant tree grass populations. While these two vegetation types co-exist functionally, demographically they are not static but dynamically changing in response to environmental forces such as annual fire events rainfall variability. Modelling environments with current generation biosphere models (TBMs) has presented many problems, particularly...

10.5194/bg-13-3245-2016 article EN cc-by Biogeosciences 2016-06-03

Abstract. The savanna complex is a highly diverse global biome that occurs within the seasonally dry tropical to sub-tropical equatorial latitudes and are structurally functionally distinct from grasslands forests. Savannas open-canopy environments encompass broad demographic continuum, often characterised by changing dominance between C3-tree C4-grass vegetation, where frequent environmental disturbances such as fire modulates balance ephemeral perennial life forms. Climate change projected...

10.5194/bg-14-4711-2017 article EN cc-by Biogeosciences 2017-10-24

Leaf area index (LAI) is one of the most important variables required for modelling growth and water use forests. Functional–structural plant models these to represent physiological processes in 3-D tree representations. Accuracy depends on accurate estimation LAI at stand scales validation purposes. A recent method estimate from digital images (LAID) uses image capture gap fraction analysis (Macfarlane et al. 2007b) upward-looking photographs canopy LAID (cover photography). After...

10.1071/fp08045 article EN Functional Plant Biology 2008-01-01

Abstract A soil–plant–atmosphere model was used to estimate gross primary productivity (GPP) and evapotranspiration (ET) of a tropical savanna in Australia. This paper describes modifications required simulate the substantial C4 grass understory together with C3 trees. The further improved include seasonal distribution leaf area foliar nitrogen through 10 canopy layers. Model outputs were compared 5‐year eddy covariance dataset. Adding photosynthesis component efficiency root‐mean‐squared...

10.1111/j.1365-2486.2011.02425.x article EN Global Change Biology 2011-03-21

Abstract A modified Jarvis–Stewart model of canopy transpiration ( E c ) was tested over five ecosystems differing in climate, soil type and species composition. The aims this study were to investigate the model's applicability multiple ecosystems; determine whether number parameters could be reduced by assuming that site‐specific responses solar radiation, vapour pressure deficit moisture content vary little between sites; examine convergence behaviour water‐use across sites. This...

10.1002/hyp.9280 article EN Hydrological Processes 2012-03-05

Abstract. The sudden increase in Amazon fires early the 2019 fire season made global headlines. While it has been heavily speculated that were caused by deliberate human ignitions or human-induced landscape changes, there have also suggestions meteorological conditions could played a role. Here, we ask two questions: unprecedented historical record, and did contribute to increased burning? To answer this, take advantage of recently developed modelling framework which optimises simple model...

10.5194/bg-18-787-2021 article EN cc-by Biogeosciences 2021-02-04

Abstract. Large hail events are typically infrequent, with significant time gaps between occurrences at specific locations. However, when these do happen, they can cause rapid and substantial economic losses within a matter of minutes. Therefore, it is crucial to have the ability accurately observe understand phenomena improve mitigation this impact. While in situ observations accurate, limited number for an individual storm. Weather radars, on other hand, provide larger observation...

10.5194/amt-17-407-2024 article EN cc-by Atmospheric measurement techniques 2024-01-19

.v.~:WMp~. 288 W. Ruckle Proof of Theorem 3.3. In the case 6' associated with a symmetric basis an F-space it is necessary to prove that S” = S”, and this fol- lows from 1.3 2.6. If S o‘-perfect FK-space, then either s in which we are finished or [4]. second for each u 6'“ define P§’,(s) sup |u,,(i)s,-|: :2 permutation on natural numbers} q 1'.=-1 proceed as y-perfect case. The seminorms Pi defined course argument will all be by 2.10 so 6 its closed linear span Definition 1.2.q...

10.4064/sm-28-3-289-294 article EN Studia Mathematica 1967-01-01

10.1016/j.enganabound.2006.08.002 article EN Engineering Analysis with Boundary Elements 2006-10-11

We compared the capacity of woody versus grassy vegetation covers to buffer high temperatures during heat waves by partitioning turbulent between latent ( λE ) and sensible H fluxes, quantifying advection using Priestley‐Taylor coefficient α ), for a16‐year old grassland an adjoining 6‐year plantation. found that because dominated (>65%) flux in plantation was at least twice as large on < 35% flux) waves, ambient temperature over up 5 °C lower afternoon, averaged 1.2 whole day, with...

10.1002/qj.2539 article EN Quarterly Journal of the Royal Meteorological Society 2015-02-20

Abstract. The sudden increase in Amazon fires early the 2019 fire season made global headlines. While it has been heavily speculated that were caused by deliberate human ignitions or human-induced landscape changes, there have also suggestions meteorological conditions could played a role. Here, we ask two questions: unprecedented historical record?; and did contribute to increased burning? To answer this, take advantage of recently developed modelling framework which optimizes simple burnt...

10.5194/bg-2020-123 preprint EN cc-by 2020-05-11

Abstract. Large hail events are typically infrequent, with significant time gaps between occurrences at specific locations. However, when these do happen, they can cause rapid and substantial economic losses within a matter of minutes. Therefore, it is crucial to have the ability accurately observe understand phenomena improve mitigation this impact. While in-situ observations accurate, limited in number for an individual storm. Weather radars, on other hand, provide larger observation...

10.5194/amt-2023-161 preprint EN cc-by 2023-07-31
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