Ecohydrology group banner showing image of
                        two people measuring trees in a forest and a
                        conceptual diagram of a forest system and model
                        structure
 
About
         

Picture of the PI

D. Scott Mackay

Professor
Department of Geography
University at Buffalo
105 Wilkeson Quadrangle
Buffalo, NY 14261 USA

Phone: +1-716-645-0477
Fax: +1-716-645-2329

dsmackay at buffalo dot edu

Curriculum vitae

Past Editor:
Water Resources Research
American Geophysical Union

AGU Ecohydrology Leaf



ORCID iD

Web of Science

ResearchGate

Google Scholar


Ecohydrology Group
Department of Geography
& Department of Environment and Sustainability

Welcome! My name is D. Scott Mackay and I am a Professor of Ecohydrology at the University at Buffalo (SUNY). My research interests are in plant responses to environmental stress and the role of plants in water cycling, which I study using plant hydraulics, biophysical modeling, and Bayesian analysis. I examine how drought, heat, and biotic disturbances combine to threaten forests, crops, and the security of plant-based food, fiber, and energy production. I take a systems approach, build biophysical process-based models, and synthesize data from sensors, biometric measurements, and genomics. Collectively, these approaches help us reveal emergent plant traits, water and carbon cycling dynamics, and plant-microbe associations. Please read on to learn more about my research projects and the published findings from this work.


Heat, Drought, and Tree Mortality

Nature Reviews - Cover Image
                                    Showing Dead TreeEnvironmental Researfh Letters
                                    - Cover Image Showing Dead TreeNew Phytologist - Cover Image
                                    Showing Forest Mortality

Healthy forests are carbon sinks, but when trees die they become carbon sources. Forests also transpire a large fraction of the global average precipitation falling on land areas, and so their demise alters the land-atmosphere energy balance. Published results from this project are:

The influence of increasing atmospheric CO2, temperature, and vapor pressure deficit on seawater-induced tree mortality

Mechanisms of woody-plant mortality under rising drought, CO2, and vapor pressure deficit

Lateral subsurface flow modulates forest mortality risk to future climate and elevated CO2

Forecasting semi-arid biome shifts in the anthropocene

Multi-scale predictions of massive conifer mortality due to chronic temperature rise

Interdependence of chronic hydraulic dysfunction and canopy processes can improve integrated models of tree response to drought

Evaluating theories of drought-induced vegetation mortality using a multi-model-experiment framework


Below-ground Processes and Tree Survival

Illustration of mechanisms
                                  associated with root water uptake

Scientists have long wanted to be able to peer into the subsurface to see how root processes interact with other processes occurring below ground. We developed a novel modeling approach that provides a "lens" for seeing below the surface. We ask, how does root growth prior to and during drought allow trees to adjust their water uptake depths and sustain their access to reliable water sources? Here you can read more about these findings:


Tree water uptake patterns across the globe

Stability of tropical forest tree carbon-water relations in a rainfall exclusion treatment through shifts in effective water uptake depth

Conifers depend on established roots during drought: results from a coupled model of carbon allocation and hydraulics

Mechanisms of a coniferous woodland persistence under drought and heat

Co-occurring woody species have diverse hydraulic strategies and mortality rates during an extreme drought


Subsurface Hydrology and Ecosystem Health

WRR issue cover - ParFlow-TREES
                                  cottonwood studyParFlow-TREES conceptual figure

Subsurface hydrology has received less attention compared to above ground processes for predicting the physiological responses of plants to drought. Our work fills this gap by considering the integrated systems of plant hydraulics and groundwater hydrology. The following publications provide a deeper look at the findings from this project:

Distributed plant hydraulic and hydrological modeling to understand the susceptibility of riparian woodland trees to drought-induced mortality

Lateral subsurface flow modulates forest mortality risk to future climate and elevated CO2

Dependence of aspen stands on a subsurface water subsidy: Implications for climate change impacts

Ecohydrological decoupling under changing disturbances and climate

Hillslope hydrology in global change research and Earth system modeling

Plant hydraulics improves and topography mediates prediction of aspen mortality in southwestern U.S.


Combined Biotic and Abiotic Disturbances

Bark Beetle Tree Mortality in
                                  Chimney Park, WyomingMap showing bark beetle attack,
                                  tree mortality, tree survival

Biotic disturbances are an integral part of ecosystem responses to environmental dynamics, but the full extent of their effects on integrated systems is only partly known. A major finding of this work is that some ecosystems are resilient to biotic disturbance because of hydrologic refugia while others are capable of rapid recovery from even the most extreme biotic epidemics. More details are available in the following publications:

Plant hydraulic stress explained tree mortality and tree size explained beetle attack in a mixed conifer forest

Mechanisms of a coniferous woodland persistence under drought and heat

Improving ecosystem-scale modeling of evapotranspiration using ecological mechanisms that account for compensatory responses following disturbance

Interannual consistency in canopy stomatal conductance control of leaf water potential across seven tree species


Hydraulic Constraints to Plant Growth

Improving Crop Growth
                                    Prediction Using Biophysical Process
                                    Models

Plant traits interact with environmental conditions to affect plant growth and productivity. By examining these interactions using crop species and biophysical process-based models, and manipulating both plant traits and their environment, we are able to gain a deeper understanding of mechanisms. This provides a robust hypothesis testing framework to study traits that are transferable to natural settings and novel environmental conditions. Here you can read about these findings:

Combining PSII photochemistry and hydraulics improves predictions of photosynthesis and water use from mild to lethal drought

Physiological trait networks enhance understanding of crop growth and water use in contrasting environments

Use of hydraulic traits for modeling genotype-specific acclimation in cotton under drought

Use of transcriptomic data to inform biophysical models via Bayesian networks

Rapid chlorophyll a fluorescence light response curves mechanistically inform photosynthesis modeling

A framework for genomics-informed ecophysiological modeling in plants


Evapotranspiration Spatial Dynamics

Global Change Biology Cover Image
                                  Showing Northern Wisconsin
                                  Evapotranspiration StudyNorthern Wisconsin Spatial
                                  Transpiration Stidy Showing Locations
                                  of Sapflux Trees and Neighboring
                                  TREES

We ask how species, plant age, disturbance, and spatial gradients associated with edaphic, topographic, and micrometeorologic dynamics affect evapotranspiration. We show that evapotranspiration must consider hidden sources of water in forested wetlands, which are hard to distinguish from upland forests when using remote sensing. We also show that spatial dynamics tree transpiration can be explained by dynamics of vapor pressure deficit, and that significant variability in stomatal conductance in forests is attributed to spatial dynamics of competition for light. More details are found in the following publications:

Ecohydrological decoupling under changing disturbances and climate

Model-data fusion approach to quantify evapotranspiration and net ecosystem exchange across the sagebrush ecosystem at different temporal resolutions

Improving ecosystem-scale modeling of evapotranspiration using ecological mechanisms that account for compensatory responses following disturbance

Bayesian analysis of canopy transpiration models: A test of posterior parameter means against measurements

Competition for light between individual trees lowers reference canopy stomatal conductance: results from a model

On the representativeness of plot size and location for scaling transpiration from trees to a stand

Contribution of competition for light to within-species variability in stomatal conductance

Tree transpiration varies spatially in response to atmospheric but not edaphic conditions

Using temporal patterns in vapor pressure deficit to explain spatial autocorrelation dynamics in tree transpiration

Environmental drivers of spatial variation in whole-tree transpiration in an aspen-dominated upland-to-wetland forest gradient

Intercomparison of Sugar Maple (Acer saccharum Marsh.) stand transpiration responses to environmental conditions from the Western Great Lakes Region of the United States

Environmental drivers of evapotranspiration in a shrub wetland and an upland forest in northern Wisconsin

Interannual consistency in canopy stomatal conductance control of leaf water potential across seven tree species

Physiological tradeoffs in the parameterization of a model of canopy transpiration

Effects of aggregated classifications of forest composition on estimates of evapotranspiration in a northern Wisconsin forest

Tree species effects on stand transpiration in northern Wisconsin




          (c) 2025 D.S. Mackay