Graduation date: 2006 / Canopy gap formation is a major factor contributing to maintenance of overstory species diversity and stand structure in forests and may be integral to development of understory shrub and herb layers as well. Acknowledgement of gap formation as a fundamental feature of natural forests has led to consideration of gaps as an option in forest management regimes. This study examined understory vegetation communities across canopy gaps created as a part of the Density Management Study (DMS), which investigates the effectiveness of a thinning regime in promoting late-successional habitat development in young Douglas-fir forests of western Oregon. Patterns in understory vegetation community composition in and around 0.1 and 0.4ha gaps created as a part of the DMS treatment were investigated. The primary goal of this research was to investigate the potential role of canopy gap creation in fostering heterogeneity in understory vegetation communities, and to examine the extent of gap influence on the surrounding thinned forest matrix. Tree species distributions have been shown to partition across gaps in tropical forest systems through differential responses of species to gradients in resource availability, a pattern known as gap partitioning. In temperate forests, understory vegetation communities are much more diverse than the overstories, and display a greater array of habitat requirements. Therefore, understory communities may be more likely than overstories to exhibit gap partitioning in these forests. Patterns in understory community composition across gaps suggest that gap partitioning has occurred. The strength of this partitioning effect appears to differ between gap sizes, as smaller gaps showed a less powerful effect. Abundance of ruderal species was strongly related to gap partitioning in larger gaps, while smaller gaps were dominated by competitor species. Partitioning may be related to an interactive relationship between harvest-related ground disturbance and resource gradients. Therefore, considerations of gap partitioning processes should take into account intensity and spatial distribution of ground disturbance in relation to resource gradients. In addition, conditions necessary for the expression of gap partitioning in understory vegetation communities may be rare in natural gaps in this region. The influence of gaps on understory vegetation communities in the surrounding forest appears to be relatively small. This small influence extent may help explain the lack of a stand level response to gap formation in these stands. Larger gaps exhibit a slight influence on the understory plant community in the surrounding forest to the north of the gap. In small gaps, there seemed to be an influence of the surrounding forest on gap interiors, resulting in an area of influence smaller than the physical gap area. This relationship may indicate that the area of gap influence on understory vegetation may not scale linearly with physical gap size. Species diversity was higher in gap interiors than in surrounding thinned forests. However this effect was partially due to the presence of exotic species, which showed an affinity for gap interiors. Late successional associated species were negatively related to gap interiors, but only in the larger gap size. Gap creation appears to be promoting small scale species diversity in these stands, but creation of large gaps may also promote the establishment of exotic species and may have a negative effect on late successional associated species. However, any and all of these effects may be transient, as understory communities will be strongly affected by overstory re-establishment, and related changes in resource availability. In general, gap formation may influence small-scale stand heterogeneity as evidenced by understory plant communities, but this effect may rely strongly on the nature of gap formation and intensity of disturbance related to this formation.

Obwohl Böden des Kronendachs (canopy soils) deutlich zur oberiridischen labilen Biomasse beitragen können, werden sie oft in Studien über Nährstoffkreisläufe übersehen. In Wäldern mit einem großen Vorkommen an Böden im Kronendach, wie beispielsweise jene in tropischen Bergregionen, könnte dies zu einem unvollständigen Verständnis der Gesamt-Nährstoffprozesse des Waldes beitragen. Böden im Kronendach sind Ansammlungen organischen Materials, welche gewöhnlich auf Zweigen von Bäumen tropischer Wälder zu finden sind. Sie bestehen in erster Linie aus zersetztem epiphytischen Material aber umfassen auch herunterfallendes Laub, Staub, wirbellose Tiere, Pilze und Mikroorganismen. Es gibt nur eine Handvoll Studien, die Stickstoff (N) Kreisläufe und/oder Treibhausgas (THG) Flüsse in Böden des Kronendachs untersucht haben und keine hat versucht die tatsächlichen Feldraten zu bestimmen oder herauszufinden, wie sich diese Böden – welche besonders sensibel gegenüber atmosphärischen Prozessen sind – mit Nährstoffdeposition ändern könnten. Diese Dissertation stellt die Ergebnisse einer Forschungsstudie dar, welche N-Umsatzraten und THG Flüsse von Böden des Kronendachs quantifiziert und untersucht, wie diese Raten durch zunehmende Mengen an N und Phosphor (P) im Boden verändert werden. In Gebieten mit atmosphärischer N- und P-Deposition, erhalten Böden des Kronendaches sowohl direkte als auch indirekte Nährstoffeinträge auf Grund von angereichertem Bestandsniederschlag und Pflanzenstreu. Es wurden folgende Umsatzraten in Böden des Kronendachs tropische Bergwälder entlang eines Höhengradienten (1000 m , 2000 m , 3000 m) gemessen: (1) asymbiotische biologische N2-Fixierung, (2) Netto- und Brutto-N-Transformation, und (3) Kohlendioxid (CO2), Methan (CH4) und Lachgas (N2O) Flüsse. Zudem wurden indirekte Auswirkungen von N-und P-Gaben, die auf dem Waldboden ausgebracht wurden, untersucht. Umsatzraten der N2-Fixierung, des N Kreislaufes und von THG Flüssen, welche in Böden des Kronendachs gemessen wurden, wurden mit denen vom Waldboden verglichen (entweder als Teil dieser Arbeit oder in parallelen Studien von zwei anderen Mitgliedern unserer Arbeitsgruppe), um die Aktivität von Böden des Kronendachs in den Kontext des gesamten Waldes zu stellen. N2-Fixierung wurde mit der Acetylenreduktionsmethode, Netto-N-Umsatzraten wurden mittels in situ Inkubationen (buried bag method) und Brutto-N-Umsatzraten wurden mit der 15N-Verdünnungsmethode (15N pool dilution technique) bestimmt. Gasflüsse wurden sowohl unter Verwendung statischer Kammern gemessen, deren Sockel permanent im Boden angebracht waren, als auch unter Verwendung regelmäßig entfernter intakter Bodenproben, die zur Gasmessung in luftdichten Einweckgläsern inkubiert wurden. Messungen der N2-Fixierung und des N Kreislaufes erfolgten während der Regen- und Trockenzeit im Feld unter Verwendung intakter Bodenproben. THG Messungen wurden fünf Mal während des Zeitraumes von einem Jahr durchgeführt. Der Waldboden unserer Standorte war 4 Jahre lang zweimal im Jahr mit moderaten Mengen an N ( 50 kg N ha-1 Jahr-1) und P (10 kg P ha-1 Jahr-1) gedüngt worden und umfasste folgende Behandlungen: Kontrolle, N-, P- und N+P-Zugaben. Das Kronendach trug 7-13 % zur gesamten Boden N2-Fixierung (Kronendach + Waldboden) bei, welche zwischen 0,8 und 1,5 kg N ha-1 Jahr-1 lag. N2-Fixierungsraten veränderten sich nur geringfüging mit der Höhenstufe, waren aber in der Trockenzeit deutlich höher als in der Regenzeit. N2-Fixierung im Waldboden wurde in N-Parzellen im Vergleich zu Kontroll- und P-Parzellen gehemmt, währen sie in Böden des Kronendachs in P-Parzellen im Vergleich zu Kontrollparzellen stimuliert wurde. Böden des Kronendachs trugen bis zu 23% zur gesamten mineralischen N-Produktion (Kronendach + Waldboden) bei; Brutto-N-Mineralisierung in Böden des Kronendachs lag zwischen 1,2 und 2,0 mg N kg-1 d-1. In Kontrollparzellen nahmen Brutto-Umsatzraten von Ammonium (NH4+) mit zunehmender Höhe ab, wohingegen Brutto-Umsatzraten von Nitrat (NO3-) keinen klaren Trend mit der Höhenstufe aufwiesen, aber signifikant durch die Saison beeinflusst wurden. Effekte durch Nährstoff-Zugabe unterschieden sich je nach Höhenstufe, aber kombinierte N+P-Zugabe erhöhte in der Regel auf allen Höhenstufen die N-Umsatzraten. CO2 Emissionsraten von Böden des Kronendachs berechnet auf der Basis der Fläche von Gaskammern (10,5 bis 109,5 mg CO2-C m-2 h-1) waren ähnlich denen vom Waldboden ähnlich und nahmen mit zunehmender Höhenstufe ab. Emissionen vom Kronendach, berechnet auf der Basis der Waldfläche (0,15 bis 0,51 Mg CO2-C m-2 h-1), machten jedoch nur 5-11% der gesamten Boden-CO2 Emissionen (Kronendach + Waldboden) aus. CH4 Flüsse (-0,07 bis 0,02 kg CH4-C ha-1 Jahr-1) und N2O Flüsse (0,00 bis 0,01 kg N2O-N ha-1 Jahr-1) von Böden des Kronendachs machten weniger als 5% der Gesamtflüsse von Böden aus. P-Zugabe reduzierte CH4 Emissionen in allen Höhenstufen, so dass Böden des Kronendachs als leichte CH4 Senken agierten (-10,8 bis -2,94 μg CH4-C m-2 h-1). Nur in 2000 m wurden Böden des Kronendachs unter N Zugabe zu leichten N2O Quellen (2,43 ± 3,72 μg N2O-N m-2 h-1), wohingegen P Zugabe die CO2 emissionen um ungefähr 50% reduzierte. Die Ergebnisse zeigen, dass Böden des Kronendachs eine aktive Mikrobengemeinschaft besitzen, welche wertvolle Dienstleistungen hinsichtlich von Nährstoffkreisläufen für das Ökosystem des Kronendachs erbringt. Zusätzlich, war der Nährstoffkreislauf der Böden des Kronendachs in unseren Wäldern eindeutig an die Nährstoffverfügbarkeit des Waldbodens gekoppelt, was im Gegensatz zu Theorien steht, die besagen dass Böden des Kronendachs vom Nährstoffkreislauf der Waldböden entkoppelt seien. Wir haben festgestellt, dass Böden des Kronendachs in höheren Lagen eher einen wesentlichen Anteil des gesamten Wald-Nährstoffkreislaufes ausmachen; dies sollte in Studien berücksichtigt werden, die sich mit Nährstoffkreisläufen solcher Gegenden beschäftigen. Langfristige atmosphärische N- und P-Deposition verfügt über das Potenzial, die Dynamik von Nährstoffflüssen im Kronendach erheblich zu verändern. N-Deposition könnte die N2-Fixierung hemmen, wobei “hotspots“ weiterhin in Bereichen mit großen Mengen an P vorkommen. Interne N-Kreisläufe in Böden des Kronendachs werden wahrscheinlich durch N -und P-Deposition stimuliert werden, aber chronischen Nährstoffzugabe könnte auch zu erhöhten mineralischen N-Verlusten aus dem Bodensystem des Kronendachs führen. THG-relevante Prozesse in Böden des Kronendachs werden wahrscheinlich auch auf N- und P-Deposition reagieren, aber mit Ausnahme von CO2-Emissionen ist es unwahrscheinlich, dass Gasflüsse von Böden des Kronendachs wesentlich zum gesamten THG-Budget des Waldes beitragen.

The impacts of climate change on temperate forests are predicted to accelerate, with widespread implications for forest biodiversity and function. Remote sensing has provided insights into regional patterns of vegetation dynamics, and experimental studies have demonstrated impacts of specific changes on individual species. However, forests are diverse and complex ecosystems. To understand how different species in different forests respond to interacting environmental pressures, widespread ground-based monitoring is needed. The only practical way to achieve this is through the involvement of non-professional researchers, i.e., with citizen science. However, many techniques used to identify subtle changes in forests require expensive equipment and professional expertise. This thesis aimed to identify practical methods for citizen scientists to collect useful data on forest ecosystem dynamics in relation to climate change. Methods for monitoring tree phenology and canopy-understorey interactions were the main focus, as tree phenology exerts strong control on understorey light and forest biodiversity, and is already responding to climate change. The response of understorey vegetation to canopy closure in four woodlands from a single region of England (Devon) was examined in detail. These geographically close woodlands differed considerably in their composition and seasonal dynamics. The spring period was particularly important for herb-layer development, and small variations in canopy openness had important effects on herb-layer cover and composition. This work highlights the need to monitor a range of different woodlands at the regional scale, with sufficient resolution to pick up small but crucial differences through time. Citizen scientists could help to collect such data by monitoring herb-layer cover and changes in the abundance of key species, alongside monitoring the overstorey canopy. The spring leaf phenology of four canopy trees (ash, beech, oak and sycamore) were monitored intensively in one woodland using a range of methods: counts, percentage estimates and photography. First budburst and leaf expansion dates were compared with estimates of leaf expansion timing and rate, derived from time-series data using logistic growth models. Frequently used first-event dates were potentially misleading due to high variation in leaf development rates within and between species. Percentage estimates and counts produced similar estimates of leaf expansion timing and rate. A photo-derived greenness index produced similar estimates of timing, but not rate, and was compromised by practical issues of photographing individual crowns in closed canopy woodland. Citizen science should collect time-series data instead of frequently-used first event dates―visual observations offer the most practical way to do this, but further work is needed to test reliability with citizen scientists. Given high intra- and inter-species variation in tree phenology, whole forest canopies need to be monitored to infer canopy closure timing. Canopy openness was assessed using sophisticated hemispherical photography and a range of low-cost alternatives, across four Devon woodlands over a year. Visual estimates and ordinary photography were too coarse to identify fine-scale variation in canopies. Smartphone fisheye photography analysed with free software was identified as a reliable surrogate for estimating relative, though not absolute, canopy openness. The method has high potential as a citizen science tool, as different phone models and users gave similar canopy openness estimates. In a detailed follow-up study, smartphone fisheye photography, hemispherical photography and visual observations of leaf expansion were used every other day to characterise spring canopy development. Logistic growth models estimated canopy closure timing and rate. Visual observations identified much earlier canopy development than either photographic method. Smartphone fisheye photography performed comparably to hemispherical photography. There is good potential for practical application of smartphone fisheye photography, as similar canopy closure estimates were gained from photos taken once every two weeks. The research in this thesis identifies a range of methods suitable for widespread monitoring of forest ecosystem dynamics in relation to climate change. Developing a smartphone app for automatic analysis and submission of canopy images will be an important next step to enabling widespread use. A pilot project is underway to begin testing methods with citizen scientists. Further research into data quality with citizen scientists is needed before the methods can be rolled out widely with confidence.

A new theory for predicting the windprofile over a canopy has been evaluated. The theory was first presented by Harman and Finnigan (2007). The theory relies on the forming of a mixing-layer above the canopy, due to different mean wind in and above the canopy. Characteristics from both mixing-layer and Monin Obukhov similarity theory have been used to develop the governingequations that give the wind profile. The theory has been used to calculate wind profiles for sixdifferent atmospheric stabilities. In order to evaluate the theory, profiles from the theory have beencompared to measurements from Jädraås forest, Sweden. Profiles from Monin Obukhov similarity theory were also used for comparison.In general the mixing-layer theory gives better results than Monin Obukhov similarity theory. Agreement with measurements is good in neutral conditions, but fails when the atmospheric stability is altered, especially in convective conditions. This is believed to be due to the canopy lacking in thickness. The mean wind speed is systematically underestimated and this is also believed to be caused by insufficient thickness of the canopy. A correction for this behaviour is proposed. The theory gives higher values of the mean wind speed in convective conditions with the correction and the calculated values of mean wind speed are closer to the measurements.

Master of Science / Department of Agronomy / William T. Schapaugh / Remote sensing technologies might serve as indirect selection tools to improve phenotyping to differentiate genotypes for yield in soybean breeding program as well as the assessment of soybean cyst nematode (SCN), Heterodera glycines. The objective of these studies were to: i) investigate potential use of spectral reflectance indices (SRIs) and canopy temperature (CT) as screening tools for soybean grain yield in an elite, segregating population; ii) determine the most appropriate growth stage(s) to measure SRI’s for predicting grain yield; and iii) estimate SCN population density among and within soybean cultivars utilizing canopy spectral reflectance and canopy temperature. Experiment 1 was conducted at four environments (three irrigated and one rain-fed) in Manhattan, KS in 2012 and 2013. Each environment evaluated 48 F4- derived lines. In experiment 2, two SCN resistant cultivars and two susceptible cultivars were grown in three SCN infested field in Northeast KS, in 2012 and 2013. Initial (Pi) and final SCN soil population (Pf) densities were obtained. Analyses of covariance (ANCOVA) revealed that the green normalized vegetation index (GNDVI) was the best predictive index for yield compared to other SRI’s and differentiated genotype performance across a range of reproductive growth stages. CT did not differentiate genotypes across environments. In experiment 2, relationships between GNDVI, reflectance at single wavelengths (675 and 810 nm) and CT with Pf were not consistent across cultivars or environments. Sudden death syndrome (SDS) may have confounded the relationships between remote sensing data and Pf. Therefore, it would be difficult to assess SCN populations using remote sensing based on these results.

Master of Science / Department of Agronomy / Kraig Roozeboom / High soybean [Glycine max.] commodity prices in recent years have led to an increase in use of yield enhancing and protecting products. These products need to be evaluated to determine if the use of multiple inputs has a positive impact on yield and how these inputs interact with agronomic practices. The objectives of this study were to evaluate products individually and collectively in input systems, examine interactions between varieties and input systems (IS), seeding rates (SR) and IS, and row spacing (RS) and IS. Field experiments were conducted at high-yielding locations in Kansas and Minnesota in 2012 to 2014 to meet these objectives. Sixteen treatments consisting of individual inputs and inputs combined in systems were evaluated in one experiment. A second experiment evaluated the variety by IS interaction by constructing 18 treatments from a factorial combination of six glyphosate [N-(phosphonomethyl) glycine] resistant varieties and three IS’s: untreated control (UTC), SOYA (combination of possible yield-enhancing products representative of those currently being marketed), and SOYA minus foliar fungicide (SOYA – foliar F). A third experiment evaluated the SR by IS interaction by constructing 12 treatments from a factorial arrangement of six SR’s and two IS’s: UTC and SOYA. A fourth experiment evaluated the RS by IS interaction by constructing 12 treatments from a factorial arrangement of three RS’s and four IS’s: UTC, fungicide and insecticide seed treatment plus foliar fungicide (STFF), SOYA, and SOYA – foliar F. Very few interactions between IS and agronomic practices were detected in any of the experiments. Varieties had an effect on multiple growth parameters but yield differences were marginal; linear-plateau and non-linear models found that seeding rates that maximized yield in this study were similar to University recommendations; and in general, narrow rows produced the greatest yields. The use of inputs and IS’s typically increased seed mass and yield above the UTC across all experiments. However, given current costs and soybean prices, yield response to IS’s was not great enough to cover the additional costs. Overall, it appears producers would be better served by focusing on agronomic practices rather than implementing input systems.

No description available.

The site-specific management of alfalfa has not been well-evaluated, despite the economic importance of this crop. The objectives of this work were to i) characterize the effects of soil moisture deficits on alfalfa and alfalfa yield components and ii) evaluate the use of canopy reflectance patterns in measuring treatment-induced differences in alfalfa yield. A randomized complete block design with five replicates of subsurface drip irrigation (SDI) and rainfed treatments of alfalfa was established at the University of Kentucky Animal Research Center in 2003. Potassium, as KCl, was broadcast on split-plots on 1 October 2004 at 0, 112, 336, and 448 kg K2O ha-1. In the drought year of 2005, five harvests (H1 - H5) were taken from each split-plot and from four locations within each SDI and rainfed plot. One day prior to each harvest, canopy reflectance was recorded in each plot. Alfalfa yield, yield components, and leaf area index (LAI) were determined. In 2005, dry matter yields in two harvests and for the seasonal total were increased (Pandlt;0.05) by SDI, but SDI did not affect crown density. Herbage yield was strongly associated with yield components but yields were most accurately estimated from LAI. Canopy reflectance within blue (450 nm), red (660 nm) and NIR bands were related to LAI, yield components, and yield of alfalfa and exhibited low variance (cv andlt; 15%) within narrow ( 0.125 Mg ha-1) yield ranges. Red-based Normalized Difference Vegetation Indices (NDVIs) and Wide Dynamic Range Vegetation Indices (WDRVIs) were better than blue-based VIs for the estimation of LAI, yield components, and yield. Decreasing the influence of NIR reflectance in VIs by use of a scalar (0.1, 0.05, or 0.01) expanded the range of WDRVI-alfalfa yield functions. These results indicate that VIs may be used to estimate LAI and dry matter yield of alfalfa within VI-specific boundaries.

<p>With the use of a process-orientated ecosystem model andmeasurements conducted at different Swedish coniferous forestsites, abiotic and biotic interactions between tree and soilwere identified and related to governing factors. Two differentmodelling approaches to describe soil temperatures at two sitesincluding hydrological transects were tested (I). The approachin which both canopy and soil were considered proved to be amore flexible tool to describe soil temperatures, especiallyduring snow-free winter periods. Five sites along a climatetransect covering Sweden were used to describe soil carbon poolchanges during an 80-year period simulation (II). The dynamicmodelling approach, with a feedback between abiotic and bioticsub-models, was successful in describing simplified patterns offorest stand dynamics and furthermore in differentiatingbetween climate and nitrogen availability factors. The largereffect of nitrogen availability compared to climate on soilcarbon pool changes was clearly shown.</p><p><b>Keywords:</b>SPAC; soil surface energy balance; Norwayspruce; canopy; LAI; climate; nitrogen; CoupModel</p>

The Amazon rain forest plays an important role in regional and global biogeochemical cycling, but the region may undergo an increase in the frequency and severity of drought conditions driven by global climate change, regional deforestation and fire. The effects of this drought on carbon cycling in the Amazon, particularly below-ground, are potentially large but remain poorly understood. This thesis examines the impacts of seasonal and longer-term drought upon ecosystem carbon allocation and cycling at an Amazon rain forest site with a particular focus upon below-ground processes. Measurements are made at three one-hectare forest plots with contrasting soil type and vegetation structure, to observe responses across a range of Amazon primary forest types. A fourth plot is subjected to partial rainfall exclusion to permit measurement of forest responses to a wider range of soil moisture levels than currently exists naturally. An analysis of the number of samples required to accurately quantify important ecosystem carbon stocks and fluxes is used to guide the sampling strategy at the field site. Quantifying root dynamics, in particular, presents methodological challenges. Thus, I critically review existing methods, and develop techniques to accurately measure root standing biomass and production. Subsequently, these techniques are used to record root responses, in terms of standing biomass, production, morphology, turnover and nutrient content, to variation in soil moisture across the four rain forest plots. There is substantial environmental variation in root characteristics. However, several responses remain consistent across plots: root production of biomass, length, and surface area, is lower where soil is dry, while root length and surface area per unit mass show the opposite pattern. The other major component of the below-ground carbon cycle is soil carbon dioxide efflux. I partition this efflux, on each plot, into contributions from organic ground surface litter, roots and soil organic matter, and investigate abiotic and biotic causes for observed differences within and between plots. On average, the percentage contribution of soil organic matter respiration to total soil carbon dioxide efflux declines during the dry season, while root respiration contribution displays the opposite trend. However, spatial patterns in soil respiration are not directly attributable to variation in either soil moisture or temperature. Instead, ground surface organic litter mass and root mass account for 44 % of observed spatial heterogeneity in soil carbon dioxide efflux. Finally, information on below-ground carbon cycling is combined with aboveround data, of canopy dynamics and stem wood production and mortality, to analyze the potential effects of drought upon carbon cycling in an Amazon forest ecosystem. Comparison of the rainfall exclusion plot with a similar, but unmodified, control plot reveals potentially important differences in tree carbon allocation, mortality, reproduction, soil respiration and root dynamics. The apparent net consequence of these changes is that, under drier conditions, the amount of CO2 moving out of the forest and into the atmosphere is diminished. This synthesis of above-ground and below-ground data advances understanding of carbon cycling in rain forests, and provides information which should allow more accurate modelling of the response of the Amazon region to future drought. Additional measurements at other sites, and of other ecosystem carbon fluxes, should further refine modelling predictions.