Other Environmental Sciences Commons^™

Gull Plumages Are, And Are Not, What They Appear To Human Vision, Muir D. Eaton, Pilar Benites, Luke Campillo, Robert E. Wilson, Sarah A. Sonsthagen

School of Natural Resources: Faculty Publications

Clear correlations between human and bird visual assessments of color have been documented, and are often assumed, despite fundamental differences in human and avian visual physiology and morphology. Analyses of plumage colors with avian perceptual models have shown widespread hidden inter-sexual and inter-specific color variation among passerines perceived as monochromatic to humans, highlighting the uncertainty of human vision to predict potentially relevant variation in color. Herein, we use reflectance data from 13 Larus gull species as an exemplar data set to study concordance between human vision and avian visual modeling of feather colors near, or below, the human threshold for …

The Status Of Posidonia Oceanica At Tremiti Islands Marine Protected Area (Adriatic Sea), Andrea Tursi, Francesco Mastrototaro, Federica Montesanto, Francesco De Giosa, Anna Lisco, Antonella Bottalico, Giovanni Chimienti

School of Natural Resources: Faculty Publications

Simple Summary: The seagrass Posidonia oceanica is the most important marine phanerogam of the Mediterranean Sea due to its meadows’ complexity, persistence, and extension. These habitats provide a suite of ecosystem goods and services, being of primary importance in marine conservation. Despite their central role in the coastal ecology, P. oceanica meadows are undergoing overall deterioration and fragmentation in the basin mostly due to anthropogenic impacts at local to global scales. In the last decades, several management measures have been proposed aiming to improve the meadow health conditions, while the periodic monitoring of P. oceanica meadows allows for verifying their …

The Possibility Of A Land Bridge Across Nebraska In Mississippian Time, E. C. Reed

School of Natural Resources: Faculty Publications

No abstract provided.

New Multimedia Resources For Ecological Resilience Education In Modern University Classrooms, Katharine F. E. Hogan, Julie A. Fowler, Conor D. Barnes, Alison K. Ludwig, Dominic J. Cristiano, Daniel Morales, Rubi Quiñones, Dirac L. Twidwell Jr, Jenny Dauer

School of Natural Resources: Faculty Publications

Solutions to global problems such as climate change and biodiversity loss require educational frameworks and accompanying teaching resources that are theory-based, interdisciplinary, and accessible to broad undergraduate and graduate student audiences. Ecological resilience theory (ERT) is a framework with established interdisciplinary application to complex global problems, but despite an emphasis on the utility of resilience in national higher education frameworks, we found that many current ecology textbooks incorporate multiple definitions and highly variable amounts of discussion on core resilience concepts. To facilitate the use of innovative teaching resources in ERT in universities, this paper describes four free multimedia tools and …

Retrospective Comparisons Of Competing Demographic Models Give Clarity From “Messy” Management On A Scottish Grouse Moor, Larkin A. Powell, Nicholas J. Aebischer, Sonja C. Ludwig, David Baines

School of Natural Resources: Faculty Publications

Retrospective comparison of predictive models that describe competing hypotheses regarding system function can shed light on regulatory mechanisms within the framework of adaptive resource management. We applied this approach to a 28-year study of red grouse (Lagopus lagopus scotica) in Scotland, with the aims of reducing uncertainty regarding important drivers of grouse population dynamics, and of evaluating the efficacy of using seasonal versus annual model assessments. We developed three sets of models that predicted pre-breeding and post-breeding grouse density, matching the timing of grouse counts on the ground. We updated conditions and management through time in the spirit …

Maize Leaf Appearance Rates: A Synthesis From The United States Corn Belt, Caio L. Dos Santos, Lori J. Abendroth, Jeffrey A. Coulter, Emerson D. Nafziger, Andrew E. Suyker, Jianming Yu, Patrick S. Schnable, Sotirios V. Archontoulis

School of Natural Resources: Faculty Publications

The relationship between collared leaf number and growing degree days (GDD) is crucial for predicting maize phenology. Biophysical crop models convert GDD accumulation to leaf numbers by using a constant parameter termed phyllochron (°C-day leaf⁻¹) or leaf appearance rate (LAR; leaf ^oC-day⁻¹). However, such important parameter values are rarely estimated for modern maize hybrids. To fill this gap, we sourced and analyzed experimental datasets from the United States Corn Belt with the objective to (i) determine phyllochron values for two types of models: linear (1-parameter) and bilinear (3-parameters; phase I and II phyllochron, and transition …

Spatiotemporal Variability In Swedish Lake Ecosystems, Tarsha Eason, Ahjond Garmestani, David G. Angeler

School of Natural Resources: Faculty Publications

Studying ecosystem dynamics is critical to monitoring and managing linked systems of humans and nature. Due to the growth of tools and techniques for collecting data, information on the condition of these systems is more widely available. While there are a variety of approaches for mining and assessing data, there is a need for methods to detect latent characteristics in ecosystems linked to temporal and spatial patterns of change. Resiliencebased approaches have been effective at not only identifying environmental change but also providing warning in advance of critical transitions in social-ecological systems (SES). In this study, we examine the usefulness …

Canopy Spectral Reflectance Detects Oak Wilt At The Landscape Scale Using Phylogenetic Discrimination, Gerard Sapes, Cathleen Lapadat, Anna K. Schweiger, Jennifer Juzwik, Rebecca Montgomery, Hamed Gholizadeh, Philip A. Townsend, John A. Gamon, Jeannine Cavender-Bares

School of Natural Resources: Faculty Publications

The oak wilt disease caused by the invasive fungal pathogen Bretziella fagacearum is one of the greatest threats to oak-dominated forests across the Eastern United States. Accurate detection and monitoring over large areas are necessary for management activities to effectively mitigate and prevent the spread of oak wilt. Canopy spectral reflectance contains both phylogenetic and physiological information across the visible near-infrared (VNIR) and short-wave infrared (SWIR) ranges that can be used to identify diseased red oaks. We develop partial least square discriminant analysis (PLS-DA) models using airborne hyperspectral reflectance to detect diseased canopies and assess the importance of VNIR, SWIR, …

Resource Selection Of Deer Hunters In Georgia's Appalachian Mountains, Jacalyn P. Rosenberger, Andrew R. Little, Adam C. Edge, Cheyenne J. Yates, David A. Osborn, Charlie H. Killmaster, Kristina L. Johannsen, Karl V. Miller, Gino J. D'Angelo

School of Natural Resources: Faculty Publications

White‐tailed deer (Odocoileus virginianus) and hunters on 2 Wildlife Management Areas (WMAs) within the Chattahoochee National Forest of northern Georgia, USA, significantly declined in number from the 1980s to 2018. Managers were interested in understanding how they could manipulate hunter distribution according to deer management goals. To understand the spatial distribution of hunting pressure and factors driving hunter resource selection, we analyzed GPS tracking data from 58 deer hunters over the 2018–2019 and 2019–2020 hunting seasons. We evaluated hunter selection on 3 spatial scales relative to elevation, slope, and distance from roads, trails, wildlife openings, deciduous forest, mixed …

Adaptation, Transformation And Resilience In Healthcare Comment On “Government Actions And Their Relation To Resilience In Healthcare During The Covid-19 Pandemic In New South Wales, Australia And Ontario, Canada”, David G. Angeler, Harris A. Eyre, Michael Berk, Craig R. Allen, William Hynes, Igor Linkov

School of Natural Resources: Faculty Publications

Adaptive capacity is a critical component of building resilience in healthcare (RiH). Adaptive capacity comprises the ability of a system to cope with and adapt to disturbances. However, “shocks,” such as the current coronavirus disease 2019 (COVID-19) pandemic, can potentially exceed critical adaptation thresholds and lead to systemic collapse. To effectively manage healthcare systems during periods of crises, both adaptive and transformative changes are necessary. This commentary discusses adaptation and transformation as two complementary, integral components of resilience and applies them to healthcare. We treat resilience as an emergent property of complex systems that accounts for multiple, often disparately distinct …

Allodb: An R Package For Biomass Estimation At Globally Distributed Extratropical Forest Plots, Erika Gonzalez-Akre, Camille Piponiot, Mauro Lepore, Valentine Herrmann, James A. Lutz, Jennifer L. Baltzer, Christopher W. Dick, Gregory S. Gilbert, Fangliang He, Michael Heym, Alejandra I. Huerta, Patrick A. Jansen, Daniel J. Johnson, Nikolai Knapp, Kamil Král, Dunmei Lin, Yadvinder Malhi, Sean M. Mcmahon, Jonathan A. Myers, David Orwig, Diego I. Rodríguez-Hernández, Sabrina E. Russo, Jessica Shue, Xugao Wang, Amy Wolf, Tonghui Yang, Stuart J. Davies, Kristina J. Anderson-Teixeira

School of Natural Resources: Faculty Publications

Allometric equations for calculation of tree above-ground biomass (AGB) form the basis for estimates of forest carbon storage and exchange with the atmosphere. While standard models exist to calculate forest biomass across the tropics, we lack a standardized tool for computing AGB across boreal and temperate regions that comprise the global extratropics. Here we present an integrated R package, allodb, containing systematically selected published allometric equations and proposed functions to compute AGB. The data component of the package is based on 701 woody species identified at 24 large Forest Global Earth Observatory (ForestGEO) forest dynamics plots representing a wide diversity …

Water Insecurity, Water Borrowing, And Psychosocial Stress Among Daasanach Pastoralists In Northern Kenya, Leslie Ford, Hilary J. Bethancourt, Zane Swanson, Rosemary Nzunza, Amber Wutich, Alexandra Brewis, Sera Young, David Almeida, Matthew J. Douglass, Emmanuel K. Ndiema, David R. Braun, Herman Pontzer, Asher Y. Rosinger

School of Natural Resources: Faculty Publications

This article quantifies Daasanach water insecurity experiences in Northern Kenya, examines how water insecurity is associated with water borrowing and psychosocial stress, and evaluates if water borrowing mitigates the stress from water insecurity. Of 133 households interviewed in 7 communities, 95% were water insecure and 74.4% borrowed water three or more times in the prior month. Regression analyses demonstrate water borrowing frequency moderates the relationship between water insecurity and psychosocial stress. Only those who rarely or never borrowed water reported greater stress with higher water insecurity. The coping mechanism of water borrowing may help blunt water insecurity-related stress.

The Social Networks Of Manureshed Management, Gwendwr Rhiannon Meredith, Sheri Spiegal, Peter J. A. Kleinman, Daren Harmel

School of Natural Resources: Faculty Publications

Manureshed management—the strategic use of manure nutrients that prioritizes recycling between livestock systems and cropping systems—provides a comprehensive framework for sustainable nutrient management that necessitates the collaboration of many actors. Understanding the social dimensions of collaboration is critical to implement the strategic and technological requirements of functional manuresheds. To improve this understanding, we identified aspirational networks of actors involved in manureshed management across local, regional, and national scales, principally in the United States, elucidating key relationships and highlighting the breadth of interactions essential to successful manureshed management. We concluded that, although the social networks vary with scale, the involvement of …

Tibetan Dust Accumulation Linked To Ecological And Landscape Response To Global Climate Change, Xianmei Huang, Xiaodong Miao, Qiufang Chang, Jiemei Zhong, Joseph A. Mason, Paul R. Hanson, Xianjiao Ou, Liubing Xu, Zhongping Lai

School of Natural Resources: Faculty Publications

The Tibetan Plateau (TP) is a hotspot of earth system research, and understanding its landscape and ecosystem evolution has been hampered by the lack of time-constrained geological records. Geochronological data from 14 loess sites covering a large region in the Tibetan interior show that the TP loess, rather than accumulating during glacial periods, began aggrading at either 13.4 ± 0.4 or 9.9 ± 0.2 ka. An ecological threshold was crossed, when warmer and wetter conditions resulted in increased vegetation cover enabling dust trapping. This dust accumulation model is out of phase with that of the Chinese Loess Plateau (CLP) where …

Exploring Old Data With New Tricks: Long-Term Monitoring Indicates Spatial And Temporal Changes In Populations Of Sympatric Prairie Grouse In The Nebraska Sandhills, Danielle J. Berger, Jeffrey J. Lusk, Larkin A. Powell, John P. Carroll

School of Natural Resources: Faculty Publications

The contiguous grasslands of the Sandhills region in Nebraska, USA, provide habitat for two sympatric, grassland-obligate species of grouse, the greater prairie-chicken (Tympanuchus cupido pinnatus) and the plains sharp-tailed grouse (Tympanuchus phasianellus jamesi). Collectively referred to as prairie grouse, these birds are monitored and managed jointly by wildlife practitioners who face the novel challenge of conserving historically allopatric species in shared range. We reconstructed region-wide and route-specific prairie grouse population trends in the Sandhills, using a 63-year timeseries of breeding ground counts aggregated from old reports and paper archives. Our objective was to repurpose historical data …

Validity And Reliability Of Drought Reporters In Estimating Soil Water Content And Drought Impacts In Central Europe, Lenka Bartošová, Milan Fischer, Jan Balek, Monika Bláhová, Lucie Kudláčková, Filip Chuchma, Petr Hlavinka, Martin Možný, Pavel Zahradníček, Nicole Wall, Michael Hayes, Christopher Hain, Martha Anderson, Wolfgang Wagner, Zdeněk Žalud, Miroslav Trnka

School of Natural Resources: Faculty Publications

Increasing drought is considered one of the major threats associated with climate change in central Europe. To provide an objective, quantitative tool that represents current drought conditions, the Czech Drought Monitor System (CzechDM) was established in 2012. Like other drought monitoring systems worldwide, the CzechDM uses several approaches to provide drought data. However, the CzechDM is unique internationally due to its utilization of a network of voluntary reporters (farmers) who complete a weekly online questionnaire to provide information about soil water content and the impacts of drought on crop yield. In this study, the results from the questionnaires from individual …

Phylogenetic Tests Of Models Of Viral Transmission, Robert M. Zink, Kenedi Holck, Grant L. Morgan

School of Natural Resources: Faculty Publications

The hunt for the immediate non-human host of SARS-CoV-2 has centered on bats of the genus Rhinolophus. We explored the phylogenetic predictions of two models of viral transmission, the SpilloverModel and the CirculationModel and suggest that the Spillover Model can be eliminated. The Circulation Model suggests that viral transmission occurs among susceptible hosts irrespective of their phylogenetic relationships. Susceptibility could be mediated by the ACE2 gene (important for viral docking) and we constructed a phylogeny of this gene for 159 mammal species, finding a phylogenetic pattern consistent with established mammalian relationships. The tree indicates that viral transfer occurs over …

Hurricanes Substantially Reduce The Nutrients In Tropical Forested Watersheds In Puerto Rico, Jiamei Sun, Xinyuan Wei, Yu Zhou, Catherine Chan, Jiaojiao Diao

School of Natural Resources: Faculty Publications

Because nutrients including nitrogen and phosphorus are generally limited in tropical forest ecosystems in Puerto Rico, a quantitative understanding of the nutrient budget at a watershed scale is required to assess vegetation growth and predict forest carbon dynamics. Hurricanes are the most frequent disturbance in Puerto Rico and play an important role in regulating lateral nitrogen and phosphorus exports from the forested watershed. In this study, we selected seven watersheds in Puerto Rico to examine the immediate and lagged effects of hurricanes on nitrogen and phosphorous exports. Our results suggest that immediate surges of heavy precipitation associated with hurricanes accelerate …

Monitoring Climate Impacts On Annual Forage Production Across U.S. Semi-Arid Grasslands, Markéta PodˇEbradská, Bruce K. Wylie, Deborah J. Bathke, Yared A. Bayissa, Devendra Dahal, Justin D. Derner, Philip A. Fay, Michael J. Hayes, Walter H. Schacht, Jerry D. Volesky, Pradeep Wagle, Brian D. Wardlow

School of Natural Resources: Faculty Publications

The ecosystem performance approach, used in a previously published case study focusing on the Nebraska Sandhills, proved to minimize impacts of non-climatic factors (e.g., overgrazing, fire, pests) on the remotely-sensed signal of seasonal vegetation greenness resulting in a better attribution of its changes to climate variability. The current study validates the applicability of this approach for assessment of seasonal and interannual climate impacts on forage production in the western United States semi-arid grasslands. Using a piecewise regression tree model, we developed the Expected Ecosystem Performance (EEP), a proxy for annual forage production that reflects climatic influences while minimizing impacts of …

A Unified Dataset Of Colocated Sewage Pollution, Periphyton, And Benthic Macroinvertebrate Community And Food Web Structure From Lake Baikal (Siberia), Michael F. Meyer, Ted Ozersky, Kara H. Woo, Kirill Shchapov, Aaron W. E. Galloway, Julie B. Schram, Daniel D. Snow, Maxim A. Timofeyev, Dmitry Yu. Karnaukhov, Matthew R. Brousil, Stephanie E. Hampton

School of Natural Resources: Faculty Publications

Sewage released from lakeside development can introduce nutrients and micropollutants that can restructure aquatic ecosystems. Lake Baikal, the world’s most ancient, biodiverse, and voluminous freshwater lake, has been experiencing localized sewage pollution from lakeside settlements. Nearby increasing filamentous algal abundance suggests benthic communities are responding to localized pollution. We surveyed 40-km of Lake Baikal’s southwestern shoreline from 19 to 23 August 2015 for sewage indicators, including pharmaceuticals, personal care products, and microplastics, with colocated periphyton, macroinvertebrate, stable isotope, and fatty acid samplings. The data are structured in a tidy format (a tabular arrangement familiar to limnologists) to encourage reuse. Unique …

Selection Of Landcover Types By Translocated Female Eastern Wild Turkeys In East Texas, Daniel J. Sullivan, Andrew R. Little, Micah L. Poteet, Michael J. Chamberlain

School of Natural Resources: Faculty Publications

Restoration of eastern wild turkeys (Meleagris gallopavo silvestris) is among the greatest conservation achievements in North America. However, restoration efforts in east Texas have had limited success, resulting in a fragmented distribution of turkeys across the landscape. Restoration success is largely dependent on the ability of translocated individuals to quickly select habitat patches on the landscape. Information on habitat selection of translocated wild turkeys is important to identify high quality release locations that should reduce the probability of translocation failure. Our objective was to describe selection of landcover types by translocated female wild turkeys in east Texas. During …

Tracking Spatial Regimes In Animal Communities: Implications For Resilience-Based Management, C. P. Roberts, D. Uden, C. Allen, D. G. Angler, L. A. Powell, B. Allred, J. D. Maestas, R. Twidwell Jr.

School of Natural Resources: Faculty Publications

No abstract provided.

Fourteen Propositions For Resilience, Fourteen Years Later, Morgan Mathisonslee, Steven J. Lade, Conor Barnes, Karina Benessaiah, Erin T.H. Crockett, Andrea S. Downing, Julie A. Fowler, Rachel Belisle-Toler, Shubhechchha Sharma, Klara J. Winkler

School of Natural Resources: Faculty Publications

In 2006, Walker et al. published an article titled, “A Handful of Heuristics and Some Propositions for Understanding Resilience in Social-ecological Systems.” The article was incorporated into the Ecology and Society special feature, Exploring Resilience in Social-Ecological Systems. Walker et al. identified five heuristics and posed 14 propositions for understanding resilience in social-ecological systems. At the time, the authors hoped the paper would promote experimentation, critique, and application of these ideas in resilience and social-ecological systems research. To determine the extent to which these propositions have achieved the authors’ hopes, we reviewed the scientific literature on socialecological systems since the …

Comparative Geospatial Approach For Agricultural Crops Identification In Interfluvial Plain - A Case Study Of Sahiwal District, Pakistan, Danish Raza, Hong Shu, Sami Ullah Khan, Muhsan Ehsan, Urooj Saeed, Hasnat Aslam, Rana Waqar Aslam, Muhammed Arshad

School of Natural Resources: Faculty Publications

Agricultural crop cover identification is a major issue and time-consuming effort to verify the crop type through surveys of the individual field or using prehistoric methods. To establish the scenario of crop identification, the stage of crop provides diverse spatial information about the variety of crops due to its spectral changes. The main aim of this study was to the identify the crop types and their behavior using remote sensing and geographical information system-based approach. Moreover, two main methods were applied to the Sentinel-2 satellite data in which one is random forest based supervised classification and another was Normalize Difference …

Rangelands In A Fragmented Grass‑Dominated Landscape Are Vulnerable To Tree Invasion From Roadsides, Katharine F. E. Hogan, Dillon T. Fogarty, Hugh Ellerman, Christopher Fill, Dina Morales, Baxter Seguin, Daniel R. Uden, Craig R. Allen

School of Natural Resources: Faculty Publications

Roadsides can be vectors for tree invasion within rangelands by bisecting landscapes and facilitating propagule spread to interior habitat. Current invasive tree management in North America’s Great Plains focuses on reducing on-site (i.e., interior habitat) vulnerability through on-site prevention and eradication, but invasive tree management of surrounding areas known to serve as invasion vectors, such as roadsides and public rights-of-ways, is sporadic. We surveyed roadsides for invasive tree propagule sources in a central Great Plains grassland landscape to determine how much of the surrounding landscape is potentially vulnerable to roadside invasion, and by which species, and thereby provide insights into …

Feasibility Assessment On Use Of Proximal Geophysical Sensors To Support Precision Management, Sophia M. Becker, Trenton E. Franz, Olufemi P. Abimbola, Dean D. Steele, J. Paulo Flores, Xinhua Jia, Thomas F. Scherer, Daran Rudnick, Christopher M.U. Neale

School of Natural Resources: Faculty Publications

A study was conducted at three sites in North Dakota to strengthen understanding

of the usefulness of different proximal geophysical data types in agricultural contexts of varying pedology. This study hypothesizes that electromagnetic induction (EMI), gamma-ray sensor (GRS), cosmic-ray neutron sensor (CRNS), and elevation data layers are all useful in multiple linear regression (MLR) predictions of soil properties that meet expert criteria at three agricultural sites. In addition to geophysical data collection with vehicle-mounted sensors, 15 soil samples were collected at each site and analyzed for nine soil properties of interest. A set of model training data was compiled by …

Remotely Detected Aboveground Plant Function Predicts Belowground Processes In Two Prairie Diversity Experiments, Jeannine Cavender-Bares, Anna K. Schweiger, John Gamon, Hamed Gholizadeh, Kimberly Helzer, Cathleen Lapadat, Michael D. Madritch, Philip A. Townsend, Zhihui Wang, Sarah E. Hobbie

School of Natural Resources: Faculty Publications

Imaging spectroscopy provides the opportunity to incorporate leaf and canopy optical data into ecological studies, but the extent to which remote sensing of vegetation can enhance the study of belowground processes is not well understood. In terrestrial systems, aboveground and belowground vegetation quantity and quality are coupled, and both influence belowground microbial processes and nutrient cycling. We hypothesized that ecosystem productivity, and the chemical, structural and phylogenetic-functional composition of plant communities would be detectable with remote sensing and could be used to predict belowground plant and soil processes in two grassland biodiversity experiments: the BioDIV experiment at Cedar Creek Ecosystem …

Joint Effects Of Climate, Tree Size, And Year On Annual Tree Growth Derived From Tree-Ring Records Of Ten Globally Distributed Forests, Kristina J. Anderson-Teixeira, Valentine Herrmann, Christine R. Rollinson, Bianca Gonzalez, Erika B. Gonzalez-Akre, Neil Pederson, M. Ross Alexander, Craig D. Allen, Raquel Alfaro-Sánchez, Tala Awada, Jennifer L. Baltzer, Patrick J. Baker, Joseph D. Birch, Sarayudh Bunyavejchewin, Paolo Cherubini, Stuart J. Davies, Cameron Dow, Ryan Helcoski, Jakub Kašpar, James A. Lutz, Ellis Q. Margolis, Justin T. Maxwell, Sean M. Mcmahon, Camille Piponiot, Sabrina E. Russo, Pavel Šamonil, Anastasia E. Sniderhan, Alan J. Tepley, Ivana Vašíčková, Mart Vlam, Pieter A. Zuidema

School of Natural Resources: Faculty Publications

Tree rings provide an invaluable long-term record for understanding how climate and other drivers shape tree growth and forest productivity. However, conventional tree-ring analysis methods were not designed to simultaneously test effects of climate, tree size, and other drivers on individual growth. This has limited the potential to test ecologically relevant hypotheses on tree growth sensitivity to environmental drivers and their interactions with tree size. Here, we develop and apply a new method to simultaneously model nonlinear effects of primary climate drivers, reconstructed tree diameter at breast height (DBH), and calendar year in generalized least squares models that account for …

Cubesat Constellations Provide Enhanced Crop Phenology And Digital Agricultural Insights Using Daily Leaf Area Index Retrievals, Kasper Johansen, Matteo G. Ziliani, Rasmus Houborg, Trenton E. Franz, Matthew F. Mccabe

School of Natural Resources: Faculty Publications

Satellite remote sensing has great potential to deliver on the promise of a data-driven agricultural revolution, with emerging space-based platforms providing spatiotemporal insights into precisionlevel attributes such as crop water use, vegetation health and condition and crop response to management practices. Using a harmonized collection of high-resolution Planet CubeSat, Sentinel-2, Landsat-8 and additional coarser resolution imagery from MODIS and VIIRS, we exploit a multisatellite data fusion and machine learning approach to deliver a radiometrically calibrated and gap-filled time-series of daily leaf area index (LAI) at an unprecedented spatial resolution of 3 m. The insights available from such high-resolution CubeSat-based LAI …

Factors Affecting The Catch And Harvest Rates Of Paddlefish Downstream Of Gavins Point Dam, South Dakota, 2000–2020, William J. Radigan, Seth Fopma, Jason Sorensen, Christopher M. Longhenry

School of Natural Resources: Faculty Publications

Paddlefish, Polyodon spathula (Walbaum), provide an important snagging and bowfishing fishery below Gavins Point Dam in South Dakota. During 2009–2020, snagging catch rates of paddlefish decreased below Gavins Point Dam to presumed “normal” lower pre-2004 levels, while bowfishing catch (harvest) rates significantly increased during 2000–2020. Because Paddlefish are highly migratory, both local (i.e., monthly gauge height, precipitation, and air temperature near Gavins Point Dam) and remote (difference in Mississippi and Missouri River discharge near their confluence) environmental conditions were used to explain variation in snagging catch rates and bowfishing harvest rates. Snagging catch rates were related to October gauge height, …