@article {JRN55321,
	title = {Long-term research catchments to investigate shrub encroachment in the Sonoran and Chihuahuan deserts: Santa Rita and Jornada experimental ranges},
	journal = {Hydrological Processes},
	volume = {35},
	year = {2021},
	month = {January 2021},
	pages = { e14031},
	abstract = {Woody plant encroachment is a global phenomenon whereby shrubs or trees replace grasses. The hydrological consequences of this ecological shift are of broad interest in ecohydrology, yet little is known of how plant and intercanopy patch dynamics, distributions, and connectivity influence catchment-scale responses. To address this gap, we established research catchments in the Sonoran and Chihuahuan Deserts (near Green Valley, Arizona and near Las Cruces, New Mexico, respectively) that represent shrub encroachment in contrasting arid climates. Our main goals in the coordinated observations were to: (1) independently measure the components of the catchment water balance, (2) deploy sensors to quantify the spatial patterns of ecohydrological processes, (3) use novel methods for characterizing catchment properties, and (4) assess shrub encroachment impacts on ecohydrological processes through modeling studies. Datasets on meteorological variables; energy, radiation, and CO2 fluxes; evapotranspiration; soil moisture and temperature; and runoff at various scales now extend to nearly 10 years of observations at each site, including both wet and dry periods. Here, we provide a brief overview of data collection efforts and offer suggestions for how the coordinated datasets can be exploited for ecohydrological inferences and modeling studies. Given the representative nature of the catchments, the available databases can be used to generalize findings to other catchments in desert landscapes.},
	keywords = {Chihuahuan deserts, Jornada experimental ranges, Long-term research catchments, Santa Rita, shrub encroachment, Sonoran},
	doi = {10.1002/hyp.14031},
	url = {files/bibliography/21-044.pdf},
	author = {Enrique Vivoni and Eli R. Perez and Zachary T Keller and Eric Escoto and Ryan Templeton and Nolie P Templeton and C.A. Anderson and A. P. Schreiner-McGraw and Luis A. M{\'e}ndez-Barroso and Agustin Robles Morua and R.L. Scott and Steven R. Archer and Debra C. Peters}
}
@article {JRN54297,
	title = {Ecohydrology with Unmanned Aerial Vehicles},
	journal = {Ecosphere},
	volume = {5},
	year = {2014},
	chapter = {art130},
	abstract = {<p class="rtejustify">High-resolution characterizations and predictions are a grand challenge for ecohydrology. Recent advances in flight control, robotics and miniaturized sensors using unmanned aerial vehicles (UAVs) provide an unprecedented opportunity for characterizing, monitoring and modeling ecohydrologic systems at high-resolution (\&lt;1 m) over a range of scales. How can the ecologic and hydrologic communities most effectively use UAVs for advancing the state of the art? This Innovative Viewpoints paper introduces the utility of two classes of UAVs for ecohydrologic investigations in two semiarid rangelands of the southwestern U.S. through two useful examples. We discuss the UAV deployments, the derived image, terrain and vegetation products and their usefulness for ecohydrologic studies at two different scales. Within a land-atmosphere interaction study, we utilize high-resolution imagery products from a rotary-wing UAV to characterize an eddy covariance footprint and scale up environmental sensor network observations to match the time-varying sampling area. Subsequently, in a surface and subsurface interaction study within a small watershed, we demonstrate the use of a fixed-wing UAV to characterize the spatial distribution of terrain attributes and vegetation conditions which serve as input to a distributed ecohydrologic model whose predictions compared well with an environmental sensor network. We also point to several challenges in performing ecohydrology with UAVs with the intent of promoting this new self-service (do-it-yourself) model for high-resolution image acquisition over many scales. We believe unmanned aerial vehicles can fundamentally change how ecohydrologic science is conducted and offer ways to merge remote sensing, environmental sensor networks and numerical models.</p>
},
	keywords = {ecology, environmental sensor network, hydrology, remote sensing, robotics, scaling, unmanned aircraft systems},
	doi = {10.1890/ES14-00217.1},
	url = {files/bibliography/JRN00623.pdf},
	author = {Enrique Vivoni and A. Rango and C.A. Anderson and Nicole Pierini and A. P. Schreiner-McGraw and Srikanth Saripalli and Andrea S. Laliberte}
}
@article {49910,
	title = {Spatial patterns, processes and predictions in ecohydrology: integrating technologies to meet the challenge},
	journal = {Ecohydrology},
	volume = {5},
	year = {2012},
	pages = {235-241},
	abstract = {<p>Spatial organization is the pre-eminent challenge of ecohydrology as a geospatial science. Ecohydrological patterns emerge as a result of interactions of fine-scale processes and functions that are difficult to observe, quantify and predict. As a result, an integrated approach to the study of spatial patterns in ecohydrology requires a more focused engagement of sampling, sensing and computational tools that are presently available to the scientific community. Here, an incremental and iterative process is proposed consisting of field experiments sequenced with distributed ecohydrological modelling aimed at identifying emergent spatial patterns. In this commentary, three case studies are presented that illustrate how the integration of spatial technologies can provide new insights into the ecohydrological patterns of arid and semiarid ecosystems. The search for emergent ecohydrological behaviour arising from cross-scale interactions can also yield improved process understanding, predictive capabilities and relevance to societal needs. Copyright {\textcopyright} 2012 John Wiley \&amp; Sons, Ltd.</p>
},
	keywords = {cross-scale interactions, North American monsoon, numerical modelling, remote sensig, sensor networks, spatial organization},
	doi = {10.1002/eco.1248},
	url = {files/bibliography/JRN00604.pdf},
	author = {Enrique Vivoni}
}
