* indicates graduate student or post-doc
advised by D.S. Mackay Bold = UB Ecohydrology Group Member
[ ] indicates a direct link to the
pdf of the manuscript
86.
Bachofen, C.,
S.J.
Tumber-Davila,
D.S. Mackay,
N. McDowell,
A. Carminati,
T. Klein, B.D.
Stocker, M.
Mencuccini,
and C.
Grossiord.
2024. Tree
water uptake
patterns
across the
globe. New
Phytologist.
Accepted.
[ Journal Link
]
85. Kim,
D., C.R.
Guadagno, B.E.
Ewers, and D.S.
Mackay.
2024.
Combining PSII
photochemistry
and hydraulics
improves
predictions of
photosynthesis
and water use
from mild to
lethal
drought. Plant,
Cell &
Environment,
doi:10.1111/pce.14806.
[ Journal Link ]
84. McDowell,
N.G., K.
Anderson-Teixeira,
J.A. Biederman,
D.D. Breshears, Y.
Fang, L.
Fernandez-de-Una,
E.B. Graham, D.S.
Mackay, J.J.
McDonnell, G.W.
Moore, M.F.
Nehemy, C.S.
Stevens Rumann, J.
Stegan, N. Tague,
M.G. Turner, X.
Chen. 2023.
Ecohydrological
decoupling under
changing
disturbances and
climate. One
Earth.,
6(3), 251-266.
doi:10.1016/j.oneear.2023.02.007.
[ Journal Link ]
83. Mackay, D.S. 2023.
Cannot see rhizosphere dynamics
for the soil? A new multi-imaging
study suggests otherwise. New
Phytologist, 237(3),
707-709, doi:10.1111/nph.18572.
[ Journal
Link ]
82. Gleason, S.N., D.M. Barnard, T.R.
Green, D.S. Mackay, D.R. Wang,
E.A. Ainsworth, J. Altenhofen, T.J.
Brodribb, H. Cochard, L.H. Comas, M.
Cooper, D. Creek, K.C. DeJonge, S. Delzon,
F.B. Fritschi, G. Hammer, C. Hunter, D.
Lombardozzi, C.D. Messina, T. Ocheltree,
B.M. Stevens, J.J. Stewart, V. Vadez, J.
Wenz, I.J. Wright, K. Yemoto, and H.
Zhang. 2022. Physiological trait networks
enhance understanding of crop growth and
water use in contrasting environments. Plant,
Cell & Environment, 45(9),
2554-2572, doi:10.1111/pce.14382.
[ Journal
Link ]
81. Li, W., N.G.
McDowell, H. Zhang, W. Wang, D.S. Mackay,
R. Leff, P. Zhang, N.D. Ward, M. Norwood, S.
Yabusaki, A.M. Myers-Pigg, S.C. Pennington,
A.L. Pivovaroff, S. Waichler, C. Xu, B.
Bond-Lamberty, and V.L. Bailey. 2022. The
influence of increasing atmospheric CO2,
temperature, and vapor pressure deficit on
seawater-induced tree mortality. New
Phytologist, 235(5), 1767-1779,
doi:10.1111/nph.18275.
[ Journal
Link ]
80.
McDowell, N., G.
Sapes, A. Pivovaroff, H. Adams, C. D. Allen,
W.R.L. Anderegg, M. Arend, D.D. Breshears, T.
Brodribb, B. Choat, H. Cochard, M. De Caceres,
M.G. De Kauwe, C. Grossiord, W.M. Hammond, H.
Hartmann, G. Hoch, A. Kahmen, T. Klein, D.S.
Mackay, M. Montova, J. Martinez-Vilalta,
B.E. Medlyn, M. Mencuccini, A. Nardini, R.S.
Oliveira, A. Sala, D.T. Tissue, J.M.
Torres-Ruiz, A. Trowbridge, A.T. Trugman, E.
Wiley, and C. Xu. 2022. Mechanisms of
woody-plant mortality under rising drought, CO2,
and vapor pressure deficit. Nature Reviews
Earth & Environment., 3, 294-308,
doi:10.1038/s43017-022-00272-1.
[ Journal
Link ]
79.
Pivovaroff, A.L., N.G. McDowell, T. Barrozo
Rodgrigues, T. Brodribb, L.A. Cernusak, B.
Choat, C. Grossiord, Y. Ishida, K.J. Jardine, S.
Laurance, R. Leff, W. Li, M. Liddell, D.S.
Mackay, H. Pacheco, J. Peters, I. de J.
Sampaio Filho, D.C. Souza, W. Wang, P. Zhang, J.
Chambers. 2021. Stability of tropical forest
tree carbon-water relations in a rainfall
exclusion treatment through shifts in effective
water uptake depth. Global Change Biology,
27(24), 6454-6466, doi:10.1111/GCB.15869.
[ Journal
Link ]
78.
Tai, X., M.D. Venturas, D.S.
Mackay, P.D. Brooks, and L.B. Flanagan.
2021. Lateral subsurface flow modulates forest
mortality risk to future climate and elevated
CO2. Environmental Research Letters, 16
(2021) 084015,
https://doi.org/10.1088/1748-9326/ac1135.
[ Journal
Link ]
77.
Wang, D.R.*,
M.D. Venturas,
D.S.
Mackay,
D.J. Hunsaker,
K.R. Thorp,
M.A. Gore, and
D. Pauli.
2020. Use of
hydraulic
traits for
modeling
genotype-specific
acclimation in
cotton under
drought. New
Phytologist,
228(3),
898-909,
doi:10.1111/nph.16751.
[ Journal Link ]
76. Guadagno,
C.R., D. Millar,
R.
Lai, D.S.
Mackay, J.R.
Pleban*, C.R.
McClung, C.
Weinig, D.R.
Wang*, and B.E.
Ewers.
2020.
Use
of transcriptomic data to
inform biophysical
models via Bayesian
networks. Ecological
Modelling., 429,
109086, doi:10.1016/j.ecolmodel.2020.109086.
[ Journal
Link ]
75.
Pleban,
J.R.*,
C.R. Guadagno,
D.S. Mackay,
B.E. Ewers,
and C. Weinig.
2020.
Rapid chlorophyll
a fluorescence
light response
curves
mechanistically
inform
photosynthesis
modeling. Plant
Physiology,
183, 602-619,
doi:10.1104/pp.19.00375.
[
Journal Link ]
74.
Kulmatiski, A., K. Yu, D.S. Mackay,
M.C. Holdrege, C. Staver, A. Parolari,
Y. Liu, S. Mahumder, and A.
Trugman. 2020.
Forecasting semi-arid biome shifts
in the anthropocene. New
Phytologist, 226(2),
351-361, doi:10.1111/nph.16381.
[ Journal Link ]
73.
Chien, H.* and D.S. Mackay.
2020. Assessing
effects of model complexity and
structure on predictions of
hydrological responses using serial and
parallel design. Hydrological
Processes., 34(2), 404-419,
10.1002/hyp.13594.
[ Journal Link ]
72.
Mackay, D.S., P.R. Savoy, C.
Grossiord, X. Tai*, J.R. Pleban*,
D.R. Wang*, N.G. McDowell, H.D.
Adams, and J.S. Sperry. 2020.
Conifers depend on established roots during
drought: results from a coupled model of
carbon allocation and hydraulics. New
Phytologist, 225(2), 679-692, doi:
10.1111/nph.16043.
[ Journal
Link ] [ Commentary ] [ News Release ] [ ]
71. Tai,
X.*, D.S. Mackay,
B.E. Ewers, A.D. Parsekian,
D. Beverly, H. Speckman,
P.D. Brooks, and W.R.L.
Anderegg. 2019.
Plant hydraulic stress
explained tree mortality
and tree size explained
beetle attack in a mixed
conifer forest. Journal
of Geophysical
Research - Biogeosciences,
124(11), 3555-3568, doi:
10.1029/2019JG005272.
[
Journal Link ]
69. McDowell, N.G., C. Grossiord, H.D. Adams,
S. Pinzon-Navarro, D.S. Mackay, D.D.
Breshears, C.D. Allen, I. Borrego, L.T.
Dickman, A. Collins, M. Gaylord, N. McBranch,
W.T. Pockman, A. Vilagrosa, B. Aukema, D.
Goodsman, and C. Xu. 2019. Mechanisms of a
coniferous woodland persistence under drought
and heat. Environmental Research Letters.
14 045014,
doi:10.1088/1748-9326/ab0921.
[ Journal Link ]
68. Wang, D.R.*, C.R. Guadagno, X.
Mao, D.S. Mackay, J.R. Pleban*,
R.L. Baker, C. Weinig, J.-L. Jannink, and B.E.
Ewers. 2019. A framework for genomics-informed
ecophysiological modeling in plants. Journal
of Experimental Botany, 70(9),
2561-2574, doi: 10.1093/jxb/erz090.
[ Journal Link ]
67. Fan, Y., M. Clark, D.M. Lawrence, S.
Swenson, L.E. Band, S.L. Brantley, P.D.
Brooks, W.E. Dietrich, A. Flores, G. Grant,
J.W. Kirchner, D.S. Mackay, J.J.
McDonnell, P.C.D. Milly, P.L. Sullivan, C.
Tague, H. Ajami, N. Chaney, A. Hartmann, P.
Hazenberg, J. McNamara, J. Pelletier, J.
Perket, E. Rouholahnehad-Freund, T. Wagener,
X. Zeng, E. Beighley, J. Buzan, M. Huang, B.
Livneh, B.P. Mohanty, B. Nijssen, M. Safeeq,
C. Shen, W. van Verseveld, J. Volk, and D.
Yamazaki. 2019. Hillslope hydrology in global
change research and Earth system modeling. Water
Resources Research, 55(2), 1737-1772,
doi:10.1029/2018WR023903.
[ Journal
Link ]
66. Love, D.M., M.D. Venturas, J.S. Sperry,
P.D. Brooks, J.L. Pettit, Y. Wang, W.R.L.
Anderegg, X. Tai*, and D.S. Mackay.
2019. Dependence of aspen stands on a
subsurface water subsidy: Implications for
climate change impacts. Water Resources
Research, 55(3), 1833-1848,
doi:10.1029/2018WR023468.
[ Journal
Link ]
65. Tai, X.*, D.S. Mackay, J.S.
Sperry, P. Brooks, W.R.L. Anderegg, L.B.
Flanagan, S.B. Rood, and C. Hopkinson. 2018.
Distributed plant hydraulic and hydrological
modeling to understand the susceptibility of
riparian woodland trees to drought-induced
mortality. Water Resources Research,
54(7), 4901-4915, doi:10.1029/2018WR022801.
[ Journal
Link ]
64. Pleban, J.R.*, D.S.
Mackay, B.E. Ewers, T.L. Aston, and C.
Weinig.2018. Phenotypic trait
identification using a multimodel Bayesian
method: a case study using photosynthesis in
Brassica rapa genotypes. Frontiers in
Plant Science, 8, 448, doi:
10.3389/fpls.2018.00448.
[ Journal Link ]
63. Mitra, B.*, D.S. Mackay,
E. Pendall, B.E. Ewers, H. Kwon, M.B. Cleary
and K.J. Naithani. 2018. Model-data fusion
approach to quantify evapotranspiration and
net ecosystem exchange across the sagebrush
ecosystem at different temporal resolutions. Ecohydrology,
11:e1957, doi: 10.1002/eco.1957.
[ Journal
Link ]
62. Johnson, D.M.,
J.-C. Domec, Z.C. Berry, A.M. Schwantes,
D.R. Woodruff, K.A. McCulloh, H.W. Polley,
R. Wortemann, J.J. Swenson, D.S. Mackay,
N.G. McDowell, and R.B. Jackson. 2018.
Co-occurring woody species have diverse
hydraulic strategies and mortality rates
during an extreme drought. Plant, Cell
and Environment, 41(3),
576-588, doi:10.1111/pce.13121.
[ Journal
Link ]
61.
Millar, D., B.E. Ewers, D.S. Mackay,
S.D. Peckham, D. Reed, and A. Sekoni. 2017.
Improving ecosystem-scale modeling of
evapotranspiration using ecological mechanisms
that account for compensatory responses
following disturbance. Water Resources
Research, 53, 7853-7868,
doi:10.1002/2017WR020823.
[ Journal
Link ]
60. Clark, M.P., J.A. Bahr, M.F.P.
Bierkens, X. Cai, T.S. Hogue, C.H. Luce, J.D.
Lundquist, D.S. Mackay, H.J. (Ilja)
van Meerveld, H. Rajaram, X. Sanchez-Vila, and
P.A. Troch. 2017. A vision for Water Resources
Research. Water Resources Research,
53, doi:10.1002/2017WR021050.
[ Journal
Link ]
59. Sperry, J.S., M. Venturas, W.R.L.
Anderegg, M. Mencuccini, D.S. Mackay,
Y. Wang, D. Love. 2017. Predicting stomatal
response to the environment from the
optimization of photosynthetic gain and
hydraulic cost. Plant, Cell &
Environment, 40(6), 816-830, DOI:
10.1111/pce.12852.
[ Journal
Link ]
58. Tai, X.*., D.S. Mackay,
W.R.L. Anderegg, J.S. Sperry, and P.D. Brooks.
2017. Plant hydraulics improves and topography
mediates prediction of aspen mortality in
southwestern U.S. New Phytologist,
213(1), 113-127. DOI: 10.111/nph.14098.
[ Journal
Link ] [ ]
Supplement [ ]
57.
Mitra, B.*, D.S. Mackay, B.E.
Ewers, and E. Pendall. 2016. Response of
sagebrush carbon metabolism to experimental
precipitation pulses. Journal of Arid
Environments, 135, 181-194.
[ Journal Link ]
56. Sperry, J.S., Y. Wang, B.R.
Wolfe, D.S. Mackay, W.R.L. Anderegg,
N.G. McDowell, and W.T. Pockman. 2016.
Pragmatic hydraulic theory predicts stomatal
responses to climatic water deficits. New
Phytologist, 212, 577-589, DOI:
10.1111/nph.14059.
[ Journal
Link ]
55. McDowell, N.G., A.P. Williams, C.
Xu, W.T. Pockman, L.T. Dickman, S. Sevanto, R.
Rangle, J. Limousin, J. Plaut, D.S. Mackay,
J. Ogee, J.C. Domec, C.D. Allen, R.A. Fisher,
X. Jiang, J.D. Muss, D.D. Breshears, S.A.
Rauscher, and C. Koven. 2016. Multi-scale
predictions of massive conifer mortaility due
to chronic temperature rise. Nature
Climate Change, 6, 295-300,
doi:10.1038/nclimate2873.
[ Journal Link ] [
]
Supplement [ ]
54.
Rajaram, H., J. Bahr, G. Bloschl, X. Cai, D.S.
Mackay, A. Michalak, Montanari, A., X.
Sanchez-Villa, and G. Sander. 2015. A reflection
on the first 50 years of Water Resources
Research. Water Resources Research,
51(10), 7829-7837, doi:10.1002/2015WR018089.
[ Journal
Link ]
53. Montanari, A., J. Bahr, G.
Bloschl, X. Cai, D.S. Mackay, A.
Michalak, H. Rajaram, and G. Sander. 2015. 50
years of Water Resources Research: Legacy and
perspectives for the science of hydrology
introduction. Water Resources Research,
51(9), 6797-6803, doi:10.1002/2015WR017998.
[ Journal
Link ] [ ]
52. Mackay, D.S., D.E.
Roberts*, B.E. Ewers, J.S. Sperry, N.G.
McDowell, and W.T. Pockman. 2015.
Interdependence of chronic hydraulic
dysfunction and canopy processes can improve
integrated models of tree response to drought.
Water Resources Research, 51(8),
6156-6176, doi:10.1002/2015WR017244.
[ Journal
Link ] [ ]
51. Clark, M.P., Y. Fan, D.M.
Lawrence, J.C. Adam, D. Bolster, D.J. Gochis,
R.P. Hooper, M. Kumar, L.R. Leung, D.S.
Mackay, R.M. Maxwell, C. Shen, S.C.
Swenson, and X. Zeng. 2015. Improving the
representation of hydrologic processes in
Earth System Models. Water Resources
Research, 51(8), 5929-5956,
doi:10.1002/2015WR017096.
[ Journal
Link ] [ ]
50. Savoy, P.* and D.S. Mackay.
2015. Modeling the seasonal dynamics of leaf
area index based on environmental constraints
to canopy development. Agricultural and
Forest Meteorology, 200, 46-56.
[ Journal Link ] [ ]
49.
Chien, H.* and D.S. Mackay. 2014.
How much complexity is needed to simulate
watershed streamflow and water quality? A test
combining time-series and hydrological models. Hydrological
Processes, 28, 5624-5636.
[ Journal
Link ] [ ]
48. Mitra, B.*, D.S.
Mackay, E. Pendall, B.E. Ewers, and M.B.
Cleary. 2014. Does vegetation structure
regulate the spatial structure of soil
respiration within a sagebrush steppe
ecosystem? Journal of Arid Environments,
103, 1-10.
[ Journal Link ] [ ]
47. Montanari, A., G. Bloschl, X. Cai, D.S.
Mackay, A. Michalak, H. Rajaram, and G.
Sander. 2013. Towards 50 years of Water
Resources Research. Water Resources
Research, 49, 1-2,
doi:10.1002/2013WR014986.
[ Journal
Link ] [ ]
46. McDowell, N.G., R.A. Fisher, C. Xu, J.C.
Domec, T. Holtta, D.S. Mackay, J.S.
Sperry, A. Boutz, L. Dickman, N. Gehres, J.M.
Limousin, A. Macalady, J. Martinez-Vilalta, M.
Mencuccini, J.A. Plaut, J. Ogee, R.E. Pangle,
D.P. Rasse, M.G. Ryan, S. Sevanto, R.H.
Waring, A.P. Williams, E.A. Yepez, and W.T.
Pockman. 2013. Evaluating theories of
drought-induced vegetation mortality using a
multi-model-experiment framework. New
Phytologist, 200, 304-321.
[ Journal
Link ] [ ]
45. Mackay, D.S., B.E. Ewers, M.M.
Loranty, E.L. Kruger, and S. Samanta.
2012. Bayesian analysis of canopy
transpiration models: A test of posterior
parameter means against measurements. Journal
of Hydrology, 432-433, 75-83, doi:
10.1016/j.hydrol.2012.02.019.
[ Journal link ] [
]
44. Ewers, B.E., B.
Bond-Lamberty, and D.S. Mackay.
2011. Consequences of stand age and species’
functional trait changes on ecosystem water
use of forests. In "Size- and age-related
changes in tree structure and function" eds
Rick Meinzer, Todd Dawson, Barb Lachenbruch.
Springer, Dordrecht, 481-506.
43. Loranty, M.M.*, D.S.
Mackay, B.E. Ewers, E. Traver, and E.L.
Kruger, 2010. Competition for light between
individual trees lowers reference canopy
stomatal conductance: results from a model. Journal
of Geophysical Research - Biogeosciences,
115, G04019, doi:10.1029/2010JG001377.
[ Journal
link ] [ ]
42. Sulman, B,N., A.R. Desai, N.Z. Saliendra,
P.M. Lafleur, L.B. Flanagan, O. Sonnentag, D.S.
Mackay, A.G. Barr, and G. van der Kamp,
2010. Carbon fluxes at northern fens and bogs
have opposite responses to inter-annual
fluctuations in water table. Geophysical
Research Letters, 37, L19702,
DOI:10.1029/2010GL044018.
[ Journal
link ] [ ]
41. Trawinski, P.R.* and D.S.
Mackay, 2010. Identification of
environmental covariates of West Nile virus
vector mosquito population abundance. Vector-Borne
and Zoonotic Diseases, 10(5), 515-526,
doi: 10.1089/vbz.2008.0063.
[ Journal Link ]
40. Mackay, D.S., B.E. Ewers, M.M.
Loranty, and E.L. Kruger, 2010. On the
representativeness of plot size and location
for scaling transpiration from trees to a
stand. Journal of Geophysical Research -
Biogeosciences, 115, G02016,
doi:10.1029/2009JG001092.
[ Journal
Link ] [ ]
39. Loranty, M.M.*, D.S. Mackay,
B.E. Ewers, E. Traver, and E.L. Kruger, 2010.
Contribution of competition for light to
within-species variability in stomatal
conductance. Water Resources Research,
46, W05516, doi:10.1029/2009WR008125.
[ Journal
Link ] [ ]
38. Traver, E., B.E. Ewers, D.S. Mackay,
and M.M. Loranty*, 2010. Tree
transpiration varies spatially in response to
atmospheric but not edaphic conditions. Functional
Ecology, 24, 273-282, doi:
10.1111/j.1365-2435.2009.01657.x.
[ Journal
Link ] [ ]
37.
Mackay, D.S. and L.E. Band. 2009.
Integrated ecohydrologic research and
hydro-informatics, Journal of Contemporary
Water Research & Education, 142,
16-24.
[ Journal
Link ] [ ]
36. Sulman, B.N., A.R. Desai, B.D.
Cook, N. Saliendra, and D.S. Mackay,
2009. Contrasting carbon dioxide fluxes
between a drying shrub wetland in northern
Wisconsin, USA, and nearby forests, Biogeosciences.,
6, 1115-1126.
[ Journal Link ] [ ]
35. Trawinski, P.R.* and D.S.
Mackay. 2009. Spatial autocorrelation of
West Nile Virus vector mosquito abundance in a
seasonally wet suburban environment. Journal
of Geographical Systems, 11, 67-87,
doi:10.1007/s10109-008-0070-8.
[ Journal Link ] [ ]
34. Samanta, S.*, M.K. Clayton, D.S.
Mackay, E.L. Kruger, and B.E. Ewers.
2008. Quantitative comparison of canopy
conductance models using a Bayesian approach.
Water Resources Research, 44, W09431,
doi:10.1029/2007WR006507.
[ Journal
Link ] [
]
33. Trawinski, P.R.* and D.S.
Mackay. 2008. Meteorologically
conditioned time-series predictions of West
Nile Virus vector mosquitoes. Vector-Borne
and Zoonotic Diseases, 8(4), 505-522,
doi:10.1089/vbz.2007.0202.
[ Journal Link ]
32. Adelman, J.D., B.E. Ewers, and D.S.
Mackay. 2008. Using temporal patterns in
vapor pressure deficit to explain spatial
autocorrelation dynamics in tree
transpiration. Tree Physiology, 28,
657-658.
[ Journal Link ] [
]
31. Loranty, M.M.*, D.S.
Mackay, B.E. Ewers, J.D. Adelman, and
E.L. Kruger. 2008. Environmental drivers of
spatial variation in whole-tree transpiration
in an aspen-dominated upland-to-wetland forest
gradient. Water Resources Research,
44, W02441, doi:10.1029/2007WR006272.
[ Journal
Link ] [ ]
30. Ewers, B.E., D.S. Mackay, J. Tang,
P. Bolstad, and S. Samanta. 2008.
Intercomparison of Sugar Maple (Acer
saccharum Marsh.) stand transpiration
responses to environmental conditions from the
Western Great Lakes Region of the United
State. Agricultural and Forest
Meteorology,
doi:10.1016/j.agrformet.2007.08.003, 148,
231-246.
[ Journal Link ] [
]
29. Samanta, S.*, D.S. Mackay,
M. Clayton, E.L. Kruger, and B.E. Ewers. 2007.
Bayesian analysis for uncertainty estimation
of a canopy transpiration model. Water
Resources Research, 43, W04424,
doi:10.1029/2006WR005028.
[ Journal
Link ] [ Correction
] [ &
]
28. Mackay, D.S., B.E. Ewers,
B.D. Cook, and K.J. Davis. 2007. Environmental
drivers of evapotranspiration in a shrub
wetland and an upland forest in northern
Wisconsin, Water Resources Research,
43, W03442, doi:10.1029/2006WR005149.
[ Journal
Link ] [ ]
27. Ewers, B.E.*, D.S. Mackay,
and S. Samanta*. 2007. Interannual consistency
in canopy stomatal conductance control of leaf
water potential across seven tree species. Tree
Physiology, 27, 11-24.
[ Journal Link ] [ See review on the Faculty of
1000 Biology ] [ ]
26. Noormets A, Ewers
B, Sun G, Mackay S, Zheng D, McNulty
S, Chen J, 2006. Water and carbon cycles in
heterogeneous landscapes: an ecosystem
perspective. In: Linking ecology to
landscape hierarchies (Eds. Jiquan
Chen, Sari C. Saunders, Kimberly D.
Brosofske, and Thomas R. Crow), Nova
Publishing, Carbondale, IL, USA, pp. 89-123.
25. Ahl, D.E.*, Gower, S.T., Mackay,
D.S., Burrows, S.N.*, Norman, J.M., and
Diak, G. 2005. The effects of aggregated land
cover data on estimating NPP in northern
Wisconsin. Remote Sensing of Environment,
97, 1-14.
[ Journal Link ] [
]
24.
Chen E.* and D.S. Mackay. 2004. Effects
of combining non-spatial simulation units and
explicit models of sediment delivery on an
agricultural nonpoint source pollution model. Journal
of Hydrology, 295, 211-224.
23. Ahl, D.E.*, S.T. Gower, D.S.
Mackay, S.N. Burrows*, J.M. Norman, and
G.R. Diak. 2004. Heterogeneity of light use
efficiency in a northern Wisconsin forest:
implications for modeling net primary
production with remote sensing. Remote
Sensing of Environment, 93, 168-178.
[ Journal Link ] [
]
22. Mackay, D.S. 2003.
Watershed management: A regional to global
perspective. In Young, R.A. and R.L. Giese
(Eds.). Introduction to Forest
Ecosystem Science and Management, 3rd
Edition, Wiley, New York, 337-361.
21. Burrows, S.N.*, S.T. Gower, J.M. Norman,
G. Diak, D.S. Mackay, D.E. Ahl*, and M.K.
Clayton. 2003. Spatial variability of
aboveground net primary productivity for a
forested landscape in northern Wisconsin. Canadian
Journal of Forest Research, 33,
2007-2018.
[ Journal Link ] [
]
20. Mackay, D.S., S. Samanta*, R.R.
Nemani, and L.E. Band. 2003. Multi-objective
parameter estimation for simulating canopy
transpiration in forested watersheds. Journal
of Hydrology, 277(3-4), 230-247.
[ Journal Link ] [
]
19. Mackay, D.S., D.E. Ahl*, B.E.
Ewers*, S. Samanta*, S.T. Gower, and S.N.
Burrows*. 2003. Physiological tradeoffs in the
parameterization of a model of canopy
transpiration. Advances in Water Resources,
26(2), 179-194.
[ Journal Link ] [
]
18. Mackay, D.S., S. Samanta*, D.E.
Ahl*, B.E. Ewers*, S.T. Gower, and S.N.
Burrows*. 2003. Automated parameterization of
land surface process models using fuzzy logic.
Transactions in GIS, 7(1), 139-153.
[ Journal
Link ] [
& ]
17. Samanta, S.* and D.S. Mackay.
2003. Flexible automated parameterization of
hydrologic models using fuzzy logic. Water
Resources Research, 39(1), 1009,
doi:10.1029/2002WR001349.
[ Journal
Link ] [
]
16. Mackay, D.S., D.E. Ahl*,
B.E. Ewers*, S.T. Gower, S.N. Burrows*, S.
Samanta*, and K.J. Davis. 2002. Effects of
aggregated classifications of forest
composition on estimates of evapotranspiration
in a northern Wisconsin forest. Global
Change Biology, 8(12), 1253-1265.
[ Journal
Link ] [
]
(*** Featured on the cover
of the December 2002 issue)
15. Burrows, S.N.*, S.T. Gower, M.K. Clayton,
D.S. Mackay, D.E. Ahl*, J.M. Norman, and G.
Diak. 2002. Application of geostatistics to
characterize LAI for flux towers to
landscapes. Ecosystems, 5(7), 667-679.
[ Journal Link ] [ ]
14. Ewers, B.E.*, D.S. Mackay, S.T. Gower,
D.E. Ahl*, S.N. Burrows*, S. Samanta*. 2002.
Tree species effects on stand transpiration in
northern Wisconsin. Water Resources
Research, 38(7), 10.1029/2001WR000830.
[ Journal
Link ] [
]
13. Mackay, D.S. 2001. Evaluation of
hydrologic equilibrium in a mountainous
watershed: Incorporating forest canopy spatial
adjustment to soil biogeochemical processes. Advances
in Water Resources, 24(9-10), 1211-1227.
[ Journal Link ]
[ ]
12. Zhu, A.-X. and D.S. Mackay. 2001. Effects
of spatial detail of soil information on
watershed modeling. Journal of Hydrology,
248, 54-77.
[ Journal Link ] [
]
11. FitzHugh, T.W.* and D.S. Mackay. 2001.
Impact of subwatershed partitioning on modeled
source- and transport-limited sediment yields
in an agricultural nonpoint source pollution
model. Journal of Soil and Water
Conservation, 56(2), 137-143.
[ Journal Link ] [ ]
10. FitzHugh, T.W.* and D.S. Mackay. 2000.
Effects of parameter spatial aggregation on an
agricultural nonpoint source pollution model.
Journal of Hydrology, 236(1-2), 35-53.
[ Journal Link ] [
]
9. Liang, C.* and D.S. Mackay. 2000. A general
model of watershed extraction and
representation using globally optimal flow
paths and up-slope contributing areas. International
Journal of Geographical Information Science,
14(4), 337-358.
[ Journal Link ] [
]
8. Mackay, D.S. and V.B. Robinson 2000. A
multiple criteria decision support system for
testing integrated environmental models. International
Journal of Fuzzy Sets and Systems, 113(1),
53-67.
[ Journal Link ] [
]
7. Mackay, D.S. 1999.
Semantic integration of environmental models
for application to global information systems
and decision-making. ACM SIGMOD Record.,
28(1), 16-22.
[ Journal Link ] [
]
6. Mackay, D.S. and L.E. Band 1998. Extraction
and representation of nested catchment areas
from digital elevation models in
lake-dominated topography. Water Resources
Research, 34(4), 897-902.
[ Journal
Link ] [ ]
5. Mackay, D.S. and L.E. Band 1997. Forest
ecosystem processes at the watershed scale:
dynamic coupling of distributed hydrology
and canopy growth. Hydrological
Processes, 11, 1197-1217.
Reprinted in Hydrological
Processes AGU Special Issue, December
1997.
[ Journal
Link ] [ ]
4. Band, L.E., D.S. Mackay, I. Creed, R.
Semkin, and D.S. Jeffries 1996. Ecosystem
Processes at the Watershed Scale: Sensitivity
to Potential Climate Change. Limnology and
Oceanography, 41(5), 928-38.
[ Journal
Link ] [ ]
3. Robinson, V.B. and D.S. Mackay. 1996.
Semantic modeling for the integration of
geographic information and regional
hydroecological simulation management. Computers,
Environment, and Urban Systems, 19(5/6),
321-39.
[ Journal Link ] [
]
2. Mackay, D.S., V.B. Robinson, and L.E. Band
1993. An integrated knowledge-based systems
for managing spatiotemporal ecological
simulations. AI applications , 7(1),
29-36. [ Link ]
1. Mackay, D.S., V.B. Robinson, and L.E. Band.
1992. Classification of higher order
topographic objects on digital terrain data. Computers,
Environment and Urban Systems , 16,
473-96.
[ Journal Link ]
] indicates a direct link to the
pdf of the manuscript 
