The objective of this study was to determine the effect of increasing leaf area index on the photosynthetic temperature response of a wheat canopy. Hard red spring wheat (Triticum aestivum L. cv. Veery-10) was grown hydroponically in a growth chamber, which also served as the gas-exchange chamber. Gas-exchange parameters were measured on single leaves and on wheat canopies at various leaf area indices. The temperature response curves of the canopy shifted from being steeper with a high temperature optimum to being flatter with a lower temperature optimum as leaf area index increased from 0 to 20.0 m2m-2. Single-leaf and canopy measurements show that this shift was primarily a result of increasing respiration from accumulating stems and reproductive structures and, to a lesser extent, from lower temperature optimums associated with lower light levels within the canopy.

<p>The LiDAR data of the maize used in this research were acquired from different stages, by different sensors, and from different flight heights, which results in different point densities. The ground reference data collected by LiCOR LAI-2200 represented the leaf area index of a two-row plot.</p>

Short rotation woody crops (SRWC) are bred for rapid growth properties. Knowledge of how varying environmental conditions and endophytic bacteria impact physiology are needed to make planting recommendations. Three eastern cottonwood (EC) and three hybrid poplar (HP) varietals were planted in replicate blocks at upland and alluvial sites. Whole-tree water use and water use efficiency (WUE) were measured using heat-dissipation sap flow and related to overall productivity. Productivity measurements were higher at the upland site. Sap flow was higher at the upland site and for endophyte treated individuals. WUE was higher at the alluvial site and for EC. WUE and leaf area index (LAI) were significantly correlated with biomass (negatively and positively respectively). Overall, HP performed better at the upland site, EC at the alluvial site. These results are beneficial in further testing of optimal site and genotype pairings for SRWC.

No description available.

No description available.

Double cropping soybean after small grain harvest does not always allow sufficient canopy growth to maximize photosynthesis and seed yield. This is due to a shorter growing season and moisture deficits common to the Mid-Atlantic USA. Leaf area index (LAI) is the ratio of unit leaf area of a crop to unit ground area and is a reliable indicator of leaf area development and crop biomass. An LAI of 3.5 to 4.0 by flowering is required to maximize yield potential. Soybean LAI will vary within and between fields due to soil differences, cultivar selection, and other cultural practices. Site-specific management strategies such as varying plant population may be used to manipulate LAI and increase yield in leaf area-limited systems. Furthermore, methods to remotely sense leaf area are in order to facilitate such management strategies in large fields. The objectives of this research were to: i) determine the effect of plant population density on soybean LAI and yield; ii) determine the relationship between LAI measured at different reproductive stages and yield; iii) investigate and validate relationships between LAI and yield for two cultivars in three crop rotations across varying soil moisture regimes; iv) validate relationships found in previous work between soybean LAI and yield across soil moisture regimes in grower fields; and v) determine if normalized difference vegetation index (NDVI) values obtained from aerial infrared images can be used to estimate LAI and soybean yield variability. Increasing plant population increased LAI for cultivars at Suffolk in 2000 and 2001, but LAI increased with plant populations on soils with lower plant available water holding capacity (PAWHC) at Port Royal in 2001. In 2000 at Suffolk, seed yield increased quadratically with increasing population and cultivar did not affect the response. In 2001, no relationship occurred between yield and plant population at either Suffolk or Port Royal, but the relationship of yield and LAI depended on soybean development stage at both sites. However, this relationship was not consistent between sites or years. In another study, crop rotation affected LAI and yield one out of two years. However, LAI and yield in both study years were negatively impacted on soil types with lower PAWHC. Where significant, a linear relationship was observed between yield and LAI for all soil types. Studies on grower fields showed similar linear relationships between yield and LAI. Remote sensing techniques showed promise for estimation of LAI and yield. When obtained at an appropriate development stage, vegetation indices correlated to both LAI and yield, and were observed to be effective as a predictor of LAI until plants achieved LAI levels of 3.5 to 4.0. / Master of Science

The overall objectives of this dissertation were to (1) determine whether leaf area index (LAI) (Chapter 2), as well as stem density and height to live crown (Chapter 3) can be estimated accurately in intensively managed pine plantations using small-footprint, multiple-return airborne laser scanner (lidar) data, and (2) ascertain whether leaf area index in temperate mixed forests is best estimated using multiple-return airborne laser scanning (lidar) data or dual-band, single-pass interferometric synthetic aperture radar data (from GeoSAR) alone or both in combination (Chapter 4). In situ measurements of LAI, mean height, height to live crown, and stem density were made on 109 (LAI) or 110 plots (all other variables) under a variety of stand conditions. Lidar distributional metrics were calculated for each plot as a whole as well as for crown density slices (newly introduced in this dissertation). These metrics were used as independent variables in best subsets regressions with LAI, number of trees, mean height to live crown, and mean height (measured in situ) as the dependent variables. The best resulting model for LAI in pine plantations had an R2 of 0.83 and a cross-validation (CV) RMSE of 0.5. The CV-RMSE for estimating number of trees on all 110 plots was 11.8 with an R2 of 0.92. Mean height to live crown was also well-predicted (R2 = 0.96, CV-RMSE = 0.8 m) with a one-variable model. In situ measurements of temperate mixed forest LAI were made on 61 plots (21 hardwood, 36 pine, 4 mixed pine hardwood). GeoSAR metrics were calculated from the X-band backscatter coefficients (four looks) as well as both X- and P-band interferometric heights and magnitudes. Both lidar and GeoSAR metrics were used as independent variables in best subsets regressions with LAI (measured in situ) as the dependent variable. Lidar metrics alone explained 69% of the variability in temperate mixed forest LAI, while GeoSAR metrics alone explained 52%. However, combining the LAI and GeoSAR metrics increased the R2 to 0.77 with a CV-RMSE of 0.42. Analysis of data from active sensors shows strong potential for eventual operational estimation of biophysical parameters essential to silviculture. / Ph. D.

Loblolly pine is an important managed tree species within the southeastern United States, and better understanding spatial patterns in its productivity has potential to contribute to both modeling and management of the species. Using recently-created pine management maps specific to Virginia and empirical relationships predicting pine LAI from the Landsat satellite, we conducted a statewide analysis of temporal patterns in stand-level southern pine leaf area index (LAI) following clear-cut and planting. Here, using 28 years of Landsat time-series data for 13,140 stands that were clear-cut between 2014-2017, we examined 1) when LAI peaked over the rotation, and 2) how LAI in each stand compared to a recommended fertilization threshold of 3.5 LAI. We found that, on average, winter LAI reached a maximum of 2.02., which can be approximately doubled to give a summer LAI of 4.04, and within stand peak occurred between years 13 and 15. We also found that around 45.8% of stands achieved an LAI value higher than 3.5: a fertilization threshold recommended for managed stands in Virginia. The dataset produced by our analysis will bolster information required for modeling loblolly pines as a plant functional type in regional land simulations, and the finding that most stands are below the recommended LAI fertilization threshold will fuel further management-motivated research. / Master of Science / Management of pines in the southeastern U.S. contributes to the region's economy and carbon sequestration potential. In this study, we used Virginia forest harvest maps to identify individual patches (stands) of pine forest which had each gone through a full harvest life cycle (rotation). With unique managed pine stands identified, we used satellite imagery to estimate growth of canopy leaf area over time within each stand, using a metric called leaf area index (LAI). We identified 13,140 separate stands, each with up to 28 years of available data. We took the first full-state census of areas of managed pines in Virginia, and their leaf area development. We acquired one LAI measurement from February of each year, for each stand in Virginia. Using February LAI for each of our stands, we found that an average stand in VA has a maximum winter LAI of 2.02 (meaning an approximate maximum summer LAI of 4.04), and that stands generally reached their peak LAI after around 14 years of growth. It is recommended, in VA, that a landowner fertilize their stand in the middle of a harvest rotation if summer peak LAI is under 3.5, at stand closure. We found that at ten years of stand age, 45.8% of stands were estimated to reach above this threshold. Since this study's dataset is the most comprehensive LAI dataset for managed pines in VA, it may be used to improve management outcomes as well as understand pine productivity for land surface modeling purposes.

A natureza e a magnitude das respostas morfogênicas em plantas forrageiras variam com a disponibilidade de fatores climáticos de crescimento e com as metas de manejo utilizadas, modificando as características estruturais do dossel forrageiro. Nesse cenário, intensidades de desfolhação determinam alterações de forma e função nas plantas forrageiras que, por sua vez, definem e caracterizam estratégias de crescimento e perenização e a resistência das plantas ao pastejo. O objetivo deste estudo foi descrever e caracterizar as respostas morfogênicas e as características morfológicas do amendoim forrageiro (Arachis pintoi cv. Belmonte) submetido a intensidades de pastejo sob lotação contínua de janeiro de 2013 a março de 2014. Os tratamentos corresponderam a quatro níveis de intensidade de pastejo (severo - S, moderado - M, leniente - L, e muito leniente - ML) representados pelas alturas de pasto de 5, 10, 15 e 20 cm, e foram alocados às unidades experimentais (piquetes de 210 m2) segundo um delineamento de blocos completos casualizados, com 4 repetições. Foram identificados dez estágios de desenvolvimento das folhas de amendoim forrageiro que foram utilizados como referência para a realização das avaliações das respostas morfogênicas. Os folíolos apresentaram simetria dentro dos pares, não havendo a necessidade de mensuração dos quatro folíolos, apenas de um dos folíolos de cada par. A relação relativamente estável entre comprimento e largura dos folíolos permitiu que a área foliar fosse calculada de forma direta desde que um fator de correção (0,71) para a forma elíptica dos folíolos fosse utilizado. Estratégias distintas de crescimento foram utilizadas pelo amendoim forrageiro ao longo do ano. Estas foram caracterizadas por uma relação inversa entre as variáveis indicadoras de tamanho das plantas (comprimento do estolão, comprimento médio entre nós, entre pontos de crescimento e de enraizamento) e aquelas indicadoras de número de indivíduos (densidade de estolões, de nós, de pontos de crescimento e de pontos de enraizamento), com as maiores diferenças registradas nos pastos submetidos aos tratamentos L e VL. De forma geral, o aumento nas variáveis indicadoras de tamanho esteve associado com a diminuição daquelas indicadoras de número de indivíduos. Essa relação parece descrever um processo de segmentação das plantas caracterizado pela formação de unidades menores e autônomas durante o outono que voltam a aumentar de tamanho durante a primavera e verão. Esse processo viabiliza a reprodução clonal das plantas e contribui para a persistência da espécie na área. Pastos submetidos aos tratamentos S e M apresentaram maior taxa de aparecimento de folhas, menor filocrono e menor tamanho final de folhas que pastos submetidos aos tratamentos L e ML. Esse padrão de crescimento resultou em valores relativamente estáveis de IAF para as intensidades de pastejo. O IAF dos pastos variou apenas com a época do ano, refletindo a estacionalidade natural de crescimento das plantas. O amendoim forrageiro apresenta elevada plasticidade fenotípica e capacidade de adaptação ao pastejo, mas é preciso evitar estresses que possam interromper o processo de segmentação durante o outono, uma vez que isso poderia interferir com a perenização das plantas e favorecer o início de processo de degradação da área. / The nature and the magnitude of morphogenetic responses of forage plants vary with the availability of climatic growth factors and with management targets, modifying sward structural characteristics. In this context, defoliation intensity determines changes in plant form and function, which, in turn, define and characterise growth and perennation mechanisms and plant resistance to grazing. The objective of this study was to describe and characterise morphogenetic responses and morphological characteristics of forage peanut (Arachis pintoi cv. Belmonte) subjected to grazing intensities under continuous stocking from January 2013 to March 2014. Treatments corresponded to four levels of grazing intensity (severe - S, moderate - M, lenient - L, and very lenient - VL) represented by the sward management heights of 5, 10, 15 and 20 cm, and were allocated to experimental units (210 m2 paddocks) according to a complete randomised block design with four replications. Ten stages of leaf development were identified and used as reference for evaluations of plant morphogenetic responses. Leaflets were symmetrical within pairs, indicating the possibility of measuring leaf expansion in just one leaflet of each pair. The relatively stable leaflet length:width ratio allowed direct calculations of leaf area since a correction factor (0.71) for the elliptical form of the leaflets was used. Forage peanut used different growth mechanisms throughout the year. These were characterised by an inverse relationship between plant size (stolon length, internode length, distance between growing points and between rooting points) and plant number (stolon density, node density, growing point density and rooting point density), with greater differences recorded on swards subjected to treatments L and VL. In general, the increase in plant size was associated with a reduction in plant number. This relationship seems to describe a plant segmentation process that results in small autonomous units during autumn, that increase again in size during spring and summer. This process ensures plant clonal reproduction and favours persistence. Swards subjected to treatments S and M showed higher rates if leaf appearance, smaller phyllochron and smaller leaves than swards subjected to treatments L and VL. This resulted in LAI values relatively stable across treatments. LAI values varied only with season of the year, reflecting the seasonality of plant growth. Forage peanut is highly phenotypically plasticand adaptated to grazing, but stresses may interrupt the segmentation process during autumn, and this may interfere with plant perennation and favour the beginning of a degradation process.

In den letzten Jahren wurden relativ komplexe Erosionsmodelle entwickelt, deren Teilprozesse immer mehr auf physikalisch begründeten Ansätzen beruhen. Damit verbunden ist eine höhere Anzahl aktueller Eingangsparameter, deren Bestimmung im Feld arbeits- und kostenaufwendig ist. Zudem werden die Parameter punktuell, also an bestimmten Stellen und nicht flächenhaft wie bei der Fernerkundung, erfasst. <br /> <br /> Im Rahmen dieser Arbeit wird gezeigt, wie Satellitendaten als relativ kostengünstige Ergänzung oder Alternative zur konventionellen Parametererhebung genutzt werden können. Dazu werden beispielhaft der Blattflächenindex (LAI) und der Bedeckungsgrad für das physikalisch begründete Erosionsmodell EROSION 3D abgeleitet. Im Mittelpunkt des Interesses steht dabei das Aufzeigen von existierenden Methoden, die die Basis für eine operationelle Bereitstellung solcher Größen nicht nur für Erosions- sondern allgemein für Prozessmodelle darstellen. Als Untersuchungsgebiet dient das primär landwirtschaftlich genutzte Einzugsgebiet des Mehltheuer Baches, das sich im Sächsischen Lößgefilde befindet und für das Simulationsrechnungen mit konventionell erhobenen Eingangsparametern für 29 Niederschlagsereignisse im Jahr 1999 vorliegen [MICHAEL et al. 2000].<br /> <br /> Die Fernerkundungsdatengrundlage bilden Landsat-5-TM-Daten vom 13.03.1999, 30.04.1999 und 19.07.1999. Da die Vegetationsparameter für alle Niederschlagsereignisse vorliegen sollen, werden sie basierend auf der Entwicklung des LAI zeitlich interpoliert. Dazu erfolgt zunächst die Ableitung des LAI für alle vorhandenen Fruchtarten nach den semi-empirischen Modellen von CLEVERS [1986] und BARET & GUYOT [1991] mit aus der Literatur entnommenen Koeffizienten. Des Weiteren wird eine Methode untersucht, nach der die Koeffizienten für das Clevers-Modell aus den TM-Daten und einem vereinfachten Wachstumsmodell bestimmt werden. Der Bedeckungsgrad wird nach ROSS [1981] aus dem LAI ermittelt. Die zeitliche Interpolation des LAI wird durch die schlagbezogene Anpassung eines vereinfachten Wachstumsmodells umgesetzt, das dem hydrologischen Modell SWIM [KRYSANOVA et al. 1999] entstammt und in das durchschnittliche Tagestemperaturen eingehen. Mit den genannten Methoden bleiben abgestorbene Pflanzenteile unberücksichtigt. Im Vergleich zur konventionellen terrestrischen Parametererhebung ermöglichen sie eine differenziertere Abbildung räumlicher Variabilitäten und des zeitlichen Verlaufes der Vegetationsparameter.<br /> <br /> Die Simulationsrechnungen werden sowohl mit den direkten Bedeckungsgraden aus den TM-Daten (pixelbezogen) als auch mit den zeitlich interpolierten Bedeckungsgraden für alle Ereignisse (schlagbezogen) durchgeführt. Bei beiden Vorgehensweisen wird im Vergleich zur bisherigen Abschätzung eine Verbesserung der räumlichen Verteilung der Parameter und somit eine räumliche Umverteilung von Erosions- und Depositionsflächen erreicht. Für die im Untersuchungsgebiet vorliegende räumliche Heterogenität (z. B. Schlaggröße) bieten Landsat-TM-Daten eine ausreichend genaue räumliche Auflösung. Damit wird nachgewiesen, dass die satellitengestützte Fernerkundung im Rahmen dieser Untersuchungen sinnvoll einsetzbar ist. Für eine operationelle Bereitstellung der Parameter mit einem vertretbaren Aufwand ist es erforderlich, die Methoden weiter zu validieren und möglichst weitestgehend zu automatisieren. / Soil erosion models become increasingly more complex and contain physically based components, resulting in changing requirements for their input parameters. The spatial and temporal dynamics of erosions forcing parameters thus produce high requirements on data availability (costs and manpower). Due to this fact, the use of complex erosion models for extensive regions is strongly limited by the high in-situ expense. Moreover, conventional measurement procedures provide parameters at certain points, while remote sensing is a two-dimensional retrieval method.<br /> <br /> This thesis demonstrates, how satellite data can be used as a cost-effective supplementation or alternative to conventional measurement procedures. Leaf area index (LAI) and soil cover percentage are examplarily derived for the EROSION 3D physically based soil erosion model. The main objective of this study is to summarise existing retrieval methods in order to operationally provide such paramaters for soil erosion models or for process models in general. The methods are applied to a catchment in the loess region in Saxony (Germany), that predominantly is agriculturally used. For comparison, simulations based on conventionally estimated parameters for 29 rainstorm events are available [MICHAEL et al. 2000]. <br /> <br /> The remote sensing parameters are derived from Landsat 5 TM data on the following dates: 13.03.1999, 30.04.1999, 19.07.1999. To get temporally continuous data for all events, they are interpolated between the acquisition dates based on the LAI development. Therefore, LAI is firstly calculated for all occurring crops by means of the semi-empirical models of CLEVERS [1986] and BARET & GUYOT [1991]. The coefficients appropriated to these models are taken from literature. Furthermore, a method is investigated that enables coefficient estimation for the Clevers model from Landsat data combined with a simplified growth model. Next, soil cover percentage is derived from LAI after ROSS [1981]. The LAI interpolation is performed by the simplified crop growth model from the SWIM hydrological model [Krysanova et al. 1999]. It has to be mentioned, that plant residue remains unconsidered by the used methods. In comparison to conventional measurement procedures, these methods supply a differentiated mapping of the spatial variability and temporal behaviour regarding the vegetation parameters.<br /> <br /> The simulations with EROSION 3D are carried out for the remotely sensed soil cover percentages, that are retrieved in two ways. Soil cover is directly derived from the remote sensing data for each pixel at the acquisition dates as well as estimated by means of the interpolation for each field on all rainstorm events. In comparison to conventionally determined soil cover, both methods provide an improved spatial allocation of this parameter and thus, a spatial reallocation of erosion and deposition areas. The used Landsat Data provide an adequate spatial resolution suitable for the spatial heterogeneity given in the test area (e. g. field size). These results show that satellite based remote sensing can be reasonably used within the scope of these investigations. In the future, operational retrieval of such remotely sensed parameters necessitates the validation of the proposed methods and in general the automation of involved sub-processes to the greatest possible extent