abstract: Hydrological models in arid and semi-arid ecosystems can be subject to high uncertainties. Spatial variability in soil moisture and evapotranspiration, key components of the water cycle, can contribute to model uncertainty. In particular, an understudied source of spatial variation is the effect of plant-plant interactions on water fluxes. At patch scales (plant and associated soil), plant neighbors can either negatively or positively affect soil water availability via competition or hydraulic redistribution, respectively. The aboveground microclimate can also be altered via canopy shading effects by neighbors. Across longer timescales (years), plants may adjust their physiological (water-use) traits in response to the neighbor-altered microclimate, which subsequently affects transpiration rates. The influence of physiological adjustments and neighbor-altered microclimate on water fluxes was assessed around Larrea tridentata in the Sonoran Desert. Field measurements of Larrea’s stomatal behavior and vertical root distributions were used to examine the effects of neighbors on Larrea’s physiological controls on transpiration. A modeling based approach was implemented to explore the sensitivity of evapotranspiration and soil moisture to neighbor effects. Neighbors significantly altered both above- and belowground physiological controls on evapotranspiration. Compared to Larrea growing alone, neighbors increased Larrea’s annual transpiration by up to 75% and 30% at the patch and stand scales, respectively. Estimates of annual transpiration were highly sensitive to the presence/absence of competition for water, and on seasonal timescales, physiological adjustments significantly influenced transpiration estimates. Plant-plant interactions can be a significant source of spatial variation in ecohydrological models, and both physiological adjustments to neighbors and neighbor effects on microclimate affect small scale (patch to ecosystem) water fluxes. / Dissertation/Thesis / Doctoral Dissertation Biology 2015

[Truncated abstract] Understanding the ecohydrological dynamics of native vegetation can provide a benchmark for future efforts to restore landscape hydrology and allow predictions of potential landscape responses to climate uncertainty and associated changes in vegetation cover. The key drivers of evapotranspiration (Et) involved in maintaining a hydrological balance that minimises deep drainage in semi-arid ecosystems operate at a range of scales, and in this thesis I assessed the water relations of functionally and taxonomically diverse plant communities in south-western Australia from the leaf-level to ecosystem scale. For three key communities; heath shrubland, mallee (small multistemmed eucalypt) -heath, and open eucalypt woodland, populating a typical catenary sequence of soil types along a slope, I addressed the following questions: 1) What are the predominant water use strategies of wheatbelt native plant communities and what underlying trade-offs determine the distribution of plant water use strategies along the topographical gradient? 2) What are the roles of soil water and hydraulic limitation in controlling the spatial and temporal dynamics of transpiration in different functional types? 3) What is the magnitude and partitioning of total Et in the woodland community and what processes determine Et fluxes on a seasonal and annual basis? 4) What are the seasonal differences in Et among contrasting community-types and how do these patterns relate to canopy attributes and transpiration capacity along the topographical gradient? A key philosophical step in working with species-rich communities was to develop the concept of 'hydraulic functional types' (HFTs) to identify groupings of species using associations of physiological and morphological traits that define their hydrological functioning. .... However, as shallow soils dried during spring and summer, Et fluxes were significantly lower at the heath site (0.35 versus 0.66 mm day-1 for the woodland in February), demonstrating that the seasonality of Et fluxes differentiates communityscale contributions to regional water balance. Land-surface exchange of water over native vegetation is by no means uniform, but varies according to the spatial and temporal availability of water along topographical gradients. In general, shallow soils present fewer opportunities for water use partitioning and favour drought hardiness and a transpiration response that tracks recent rainfall patterns, whereas deeper soils promote greater differentiation in water use strategy and support canopies responsive to atmospheric demand. This thesis provides a unique description of ecosystem water balance in a global biodiversity hotspot by viewing complex vegetation mosaics in terms of their relevant hydrological units. This information is fundamental to sustainable agroforestry and revegetation efforts and our ability to gauge possible changes in vegetation structure and function under a changing climate.

Due to the wide range of provided ecosystem services of mangroves, their conservation, maintenance, and restoration is of major public interest. The distribution of species and plant growth forms in mangrove ecosystems is patterned in zones. The characteristics of these zonation patterns can provide evidence on ecosystem properties. There is ongoing discussion on the drivers leading to mangrove zonation. No full mechanistic explanation to understand the complete interaction of the multiple factors that determine the mangrove zonation patterns exists.Therefore, the underlying processes require deeper evaluation.This will help to better design mangrove conservation projects, and allow more reliable projections of ecosystem development in a changing climate. Numerical and conceptual modelling facilitates the understanding of system dynamics. In this work, I present the process- and individual-based mangrove population dynamics model MANGA. The mechanistic modelling approach is based on first principles. With the full coupling between a groundwater flow model and an individual-based mangrove growth model, MANGA provides a novel approach to study mangrove ecosystem dynamics. MANGA describes observed mangrove stand zonation in species distribution and plant growth forms as the consequence of the apparent site conditions such as hydrologic conductivity, porewater salinity distribution and the tidal regime. Model parameterization does not only depend on empirical evidence.Knowledge on the underlying processes can also be used for model calibration. Varying model boundary conditions and parameters provides insights to the influence of a variety of abiotic drivers on mangrove zonation. The MANGA model is capable to simulate the reaction of mangrove ecosystem to variations of environmental conditions related to climate change. According to MANGA simulations, for example, mangrove species composition depends on freshwater inputs which alter with varying precipitation regimes. Based on the presented applications of the mechanistic modelling approach, I discuss benefits and current limitations, and outline possible future use of the MANGA model.