Die kontinuierliche Überwachung von Pflanzenparametern spielt eine wichtige Rolle in der Präzisionslandwirtschaft. Als in situ Monitoring-Systeme erscheinen drahtlose Sensornetzwerke (engl. Wireless Sensor Networks (WSNs)) geeignet, um den Zustand von Kulturpflanzen zu erfassen und diesen in stets aktuelle Parameterkarten zu transformieren. Derartige Karten können potenzielle wachstums- und ertragsmindernde Faktoren frühzeitig identifizieren und Entscheidungshilfen geben, die zu einer ortsdifferenzierten, zielgerichteten und nachhaltigen Bewirtschaftung landwirtschaftlicher Produktionsflächen beitragen. Die vorliegende kumulative Dissertation beschäftigt sich in diesem Zusammenhang mit der automatisierten und kosteneffizienten in situ Erfassung eines wichtigen Pflanzenparameters, dem sogenannten Blattflächenindex (engl. Leaf Area Index (LAI)). Mittels handelsüblicher WSN-Hardware wird zunächst ein kostengünstiger Sensor-Prototyp für eine passive, transmissionsbasierte LAI-Erfassung konzipiert und, begleitet durch Feldkampagnen, experimentell weiterentwickelt. Im Verlauf der Arbeit wird eine auf die spezielle Anwendung zugeschnittene Netzwerkarchitektur entworfen, die den Prototypen in ein ganzheitliches Langzeit-Monitoring-System überführt. Durch exemplarisch realisierte Deployments an zwei unterschiedlichen Standorten und den daraus erfassten empirischen Datensätzen wird das Potenzial drahtloser Sensornetzwerke für eine kontinuierliche und zeitlich hochauflösende LAI-Erfassung analysiert. Dabei werden effektive Methoden zur Prozessierung und Filterung von in situ Sensordaten entwickelt und untersucht, inwieweit diese die Qualität der abgeleiteten LAI-Schätzung verbessern. Ein Schwerpunkt der empirischen Potenzialanalyse liegt dabei auf der differenzierten Erfassung von sortenspezifischen und trockenstressbedingten Veränderungen. Weiterhin wird der Einfluss von Umwelt und Vegetation auf die Qualität drahtloser Verbindungen in landwirtschaftlichen WSN-Deployments betrachtet. Basierend auf dem empirischen Datensatz wird gezeigt, dass das Pflanzenwachstum die Qualität exemplarischer Verbindungen beeinträchtigt. Aus dieser Beobachtung wird ein Modell für ein signalstärkebasiertes Pflanzen-Monitoring abgeleitet und die generelle Machbarkeit dieses neuartigen Ansatzes untersucht.

Snow interception is one of the most important process of the hydrological balance of river basins. Measuring of snow interception is a very complex activity, therefore, models are frequently used to calculated snow interception from the vegetation structure and measured meteorological variables. A field research has been carried out in the Ptačí Brook basin in the Sumava Mts. to describe the canopy structure of the spruce forest using hemispherical images taken in the winter season 2020/21. The vegetation characteristics are essential for modelling of the snow interception. The mean Leaf area index calculated from the hemispherical images at the study plot reached 2.34 with the respective canopy closure equal to 86.16%. These values were further used as input values for the calculation of seasonal cumulative snow interception at the study plot for the winter season 2020/21. The original, more complex model was compared with two, less complex equations. Consequently, the model was applied to four consecutive winter seasons 2017-2021. The efficiency of the snow interception (a proportion of the intercepted snow to total snowfall water equivalent) ranged from 36.85% to 45.81% depending on the study season. The snow interception efficiency was considerably higher in the last winter season compared to...

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<p> </p> <p>Leaf Area Index (LAI) is commonly defined as the total area of a leaf per unit area of the ground. LAI is an important variable for characterizing plant canopy related to the interception of solar radiation. Direct measurement of LAI by destructive sampling is tedious, time-consuming, and labor-intensive. With the advance of remote sensing, studies have explored multispectral and hyperspectral remote sensing image data and LiDAR point clouds as individual sources to estimate LAI indirectly. This study investigates the estimation of LAI for maize row crops over the growing season based on features derived from high resolution LiDAR and hyperspectral data acquired simultaneously from a UAV platform. Support Vector Regression (SVR) models are developed using cross validation and evaluated relative to the contribution of the multi-modality remote sensing data. The study is based on data acquired for experiments in plant breeding and evaluation of nitrogen management practice trials conducted at the Agronomy Center for Research and Education (ACRE) in 2021 and 2022, respectively. Reference data for the models were collected using a LI-COR® LAI-2200-C Plant Canopy Analyzer. Including both LiDAR and hyperspectral data sources in the SVR model improved the 𝑅_ref^2 (relative to 1:1 comparison line), RMSE and Relative RMSE (rRMSE) values for both the plant breeding and nitrogen management practice experiments, although incremental gains were small overall. More importantly, it was observed that the contributions of the LiDAR vs hyperspectral inputs to the models also varied throughout the growing season. </p>

Leaf area and stomata are important parameters in studies of taxonomic classification since both parameters might reflect the plant adaptation mechanisms to different environmental conditions. This study analyzed Eurycoma longifolia Jack leaf traits in different ecological regions (moisture zone: A Luoi, Bach Ma, Nam Dong; dry zone: Phong Dien) and leaves of seedlings in the nursery. The study used scanners and Images to measure leaf area; imagej and the AxioVision SE64 softwares were used to evaluate stomatal density by separating the lower cuticle through a clear nail polish impression. Our results showed that the leaf area of mature trees from the dry zone is smaller (355.7 and 484.1 cm2/leaf), however, the stomata density is higher than that of the humid area (284.4 and 137.9 stomata/mm2). Under the same nursery conditions, the seedlings' leaf area was similar while seedlings' stomatal density, originated from the dry zone, was lower. Results indicate that the stomatal density changes as an adaptation to changing habitat conditions. This study gives indicates that E. longifolia is a tree species with high adaptability given the leaf morphology changes under a changing climate. Therefore, this tree species should be a priority for planting in order to increase biodiversity in different ecological regions. / Đặc điểm diện tích lá và mật độ khí khổng là những thông số quan trọng trong các nghiên cứu phân loại học nhằm phản ánh cơ chế thích nghi của thực vật với điều kiện sống. Vì thế nghiên cứu này đã tiến hành phân tích các đặc điểm của lá cây Bách bệnh (Eurycoma longifolia Jack) từ các vùng khác nhau (A Lưới, Bạch Mã, Nam Đông: vùng ẩm và Phong Điền: vùng khô) và lá cây con của chúng ở vườn ươm. Nghiên cứu đã sử dụng máy quét và ImageJ để đo diện tích lá và phần mềm AxioVision SE64 và ImageJ để đánh giá mật độ khí khổng thông qua tách lớp biểu bì phía dưới lá qua lớp sơn mỏng Kết quả nghiên cứu cho thấy, diện tích lá của cây trưởng thành từ vùng khô nhỏ hơn (355.7 and 484.1 cm2/leaf) nhưng mật độ khí khổng lại lớn hơn so với vùng ẩm (284.4 and 137.9 stomata/mm2). Tuy nhiên, cùng điều kiện sống ở vườn ươm, diện tích lá của cây con tương tự nhau trong khi mật độ khí khổng của cây con có nguồn gốc từ vùng khô lại thấp hơn. Kết quả này chỉ ra rằng sự thay đổi của mật độ khí khổng như là một sự thích nghi với thay đổi của điều kiện môi trường sống. Từ đó nghiên cứu này cho thấy cây Bách bệnh là một loài cây gỗ với khả năng thích nghi cao nhờ sự thay đổi về đặc điểm hình thái lá khi thay đổi khí hậu cho nên loài cây này nên được ưu tiên trong việc gây trồng nhằm tăng cường tính đa dạng cho các vùng sinh thái khác nhau.

Savannahs regulate an agro-ecosystem crucial for the production of domestic livestock, one of the main sources of income worldwide as well as in South African rural communities. Nevertheless, globally these ecosystem functions are threatened by intense human exploitation, inappropriate land use and environmental changes. Leaf area index (LAI) defined as one half the total green leaf area per unit ground surface area, is an inventory of the plant green leaves that defines the actual size of the interface between the vegetation and the atmosphere. Thus, LAI spatial data could serve as an indicator of rangeland productivity. Consequently, the accurate and rapid estimation of LAI is a key requirement for farmers and policy makers to devise sustainable management strategies for rangeland resources. In this study, the main focus was to assess the utility and the accuracy of the PROSAILH radiative transfer model (RTM) to estimate LAI in the South African rangeland on the recently launched Landsat 8 sensor data. The Landsat 8 sensor has been a promising sensor for estimating grassland LAI as compared to its predecessors Landsat 5 to 7 sensors because of its increased radiometric resolution. For this purpose, two PROSAIL inversion methods and semi- empirical methods such as Normalized difference vegetation index (NDVI) were utilized to estimate LAI. The results showed that physically based approaches surpassed empirical approach with highest accuracy yielded by artificial neural network (ANN) inversion approach (RMSE=0.138), in contrast to the Look-Up Table (LUT) approach (RMSE=0.265). In conclusion, the results of this study proved that PROSAIL RTM approach on Landsat 8 data could be utilized to accurately estimate LAI at regional scale which could aid in rapid assessment and monitoring of the rangeland resources. / Environmental Sciences / M. Sc. (Environmental Science)

*‘Pasja’ (Brassica campestris x napus) and kale (Brassica oleracea var. acephala L.) were grown at Lincoln, Canterbury, New Zealand in 2008 with different levels of phosphorus (P) fertiliser. Banded or broadcast P fertiliser was applied at 0, 20, 40 and 60 kg P/ha at establishment. Total dry matter (DM) production, the proportion of the leaf and stem and leaf area development were measured over time and related to the biophysical environment. For ‘Pasja’, final DM increased with P rate from 3730 kg DM/ha to ~4900 kg DM/ha at 60 kg P/ha. For kale the increase was from 8710 kg DM/ha for the control to ~11000 kg DM/ha for all P treatments. The leaf to stem ratio declined from 22-31 at 17 days after emergence to 10.4 at the final harvest for ‘Pasja’, which meant the crop was effectively made up mainly of leaf (~90%). The ratio for kale declined from 2.7 at 24 days after emergence to 0.64 at the final harvest. The leaf to stem ratio for both species did not respond to either the method of application or rate of P. Seedling DM accumulation increased with applied P over the first 10 to 17 DAE for ‘Pasja’ and kale respectively. The crops went from shoot growth priority to root growth. The phyllochron of both species was unaffected by P application but responded linearly to the temperature above 0°C. For ‘Pasja’ the phyllochron was 60°Cd compared with 109°Cd for kale. As a consequence ‘Pasja’ developed its canopy and reached critical leaf area index (LAIcrit) earlier than kale. Leaf area index (LAI) for the control crops of both species was lower than for P fertiliser treatments with a maximum of 3.6 for ‘Pasja’ and 3.8 for kale. There was no difference in leaf area indices among the P fertiliser treatments for ‘Pasja’, while kale LAI differed with the rate of P application up to 40 kg P/ha. Total accumulated intercepted solar radiation (RIcum) was 8 and 11% greater for ‘Pasja’ and kale crops respectively when P was applied compared with the control. Thus, the difference in total dry matter yield due to P application was attributed to the difference in RIcum. Neither the method of application or rate of P applied affected the radiation use efficiency (RUE) of either crop. For ‘Pasja’ the RUE was 1.1 g DM/MJ PAR and for kale 1.33 g DM/MJ PAR. Based on this research, it was concluded that P application increased RIcum as a result of increased LAI. The difference in total DM yield was attributed to differences in RIcum. It is recommended that farmers growing ‘Pasja’ and kale under similar conditions to this experiment should apply 40 kg P/ha for ‘Pasja’ and band 20 kg P/ha for kale. *‘Pasja’ is considered both as a species and cultivar in this document as it marketed as such in New Zealand. Technically ‘Pasja’ is a leaf turnip.

Savannahs regulate an agro-ecosystem crucial for the production of domestic livestock, one of the main sources of income worldwide as well as in South African rural communities. Nevertheless, globally these ecosystem functions are threatened by intense human exploitation, inappropriate land use and environmental changes. Leaf area index (LAI) defined as one half the total green leaf area per unit ground surface area, is an inventory of the plant green leaves that defines the actual size of the interface between the vegetation and the atmosphere. Thus, LAI spatial data could serve as an indicator of rangeland productivity. Consequently, the accurate and rapid estimation of LAI is a key requirement for farmers and policy makers to devise sustainable management strategies for rangeland resources. In this study, the main focus was to assess the utility and the accuracy of the PROSAILH radiative transfer model (RTM) to estimate LAI in the South African rangeland on the recently launched Landsat 8 sensor data. The Landsat 8 sensor has been a promising sensor for estimating grassland LAI as compared to its predecessors Landsat 5 to 7 sensors because of its increased radiometric resolution. For this purpose, two PROSAIL inversion methods and semi- empirical methods such as Normalized difference vegetation index (NDVI) were utilized to estimate LAI. The results showed that physically based approaches surpassed empirical approach with highest accuracy yielded by artificial neural network (ANN) inversion approach (RMSE=0.138), in contrast to the Look-Up Table (LUT) approach (RMSE=0.265). In conclusion, the results of this study proved that PROSAIL RTM approach on Landsat 8 data could be utilized to accurately estimate LAI at regional scale which could aid in rapid assessment and monitoring of the rangeland resources. / Environmental Sciences / M. Sc. (Environmental Science)

Budongo Forest Reserve (BFR) is a flagship reserve for primate conservation due to its abundant chimpanzee (Pan troglodytes) population, and its current management policy for multiple economic, conservation and environmental benefits. The identification and better understanding of the structure and dynamics of the forest/plant community types, patterns of species distribution and quantitative properties of their diversity is important to the conservation and sustainable management of tropical rainforests. This study seeks to contribute to a better understanding of the BFR forest community types, species diversity patterns and environmental correlates, as well as natural regeneration processes (i.e. seedling establishment and sprouting). Data on vegetation and environmental variables were collected using rectangular 50 x 100m (0.5 ha) plots, sub-divided into five equal contiguous (20 x 50 m) 0.1 ha sub-plots. Data on land-use/cover changes, and relevant associated socio-economic parameters were collected through the analysis of multi-temporal satellite imagery and field observations, as well as interviews of local households and key informants. The study revealed significant land-use/cover changes, with the area under sugarcane cultivation increasing over 17-fold, from 690 ha in 1988 to 12729 ha in 2002, with a concomitant loss of about 4680 ha (8.2% loss) of forest/woodland, mainly in the southern part of BFR. These changes are attributed to agricultural expansion, a rapidly increasing human population, exacerbated by large influxes of refugees, lack of alternative sources of income, conflicts of interest and political interference in the management of BFR, and an unclear land tenure system. The need for more land for agricultural expansion and the loss of woodlands (a source of building materials and fuelwood for the local communities) is leading to the invasion of and encroachment on BFR, which threatens plant and wild animal conservation. The study revealed that the vegetation of BFR is formed by a mosaic of plant communities, with the major forest types being; Pseudospondias microcarpa Swamp Forest, Funtumia elastica - Pouteria altissima, Lasiodiscus mildbraedi - Khaya anthotheca and Cynometra alexandri - Rinorea ilicifolia forest communities. Canonical correspondence analysis (CCA) indicated that soil nutrients (Si, Ca, N, Fe and Li) and anthropogenic disturbances are the main factors controlling forest community patterns. The variances explained as a proportion of total inertia were relatively high (0.53 and 0.56 for basal area and abundance, respectively), showing how well the measured variables explained species composition. These plant communities differed significantly in terms of woody species diversity and richness; being highest in the Pseudospondias microcarpa swamp and lowest in the Cynometra alexandri-Rinorea ilicifolia forest. However, about 48 species were shared between the forest community types. A total of 269 species representing 171 genera and 51 families was recorded. Fisher’s alpha-diversity ranged 4.45-30.59 and 3.07-29.7 for stem diameters ≥2.0 cm and ≥10 cm, respectively, being significantly higher for stem diameters ≥2.0 cm. The use of stem diameters ≥2.0 cm unveiled 53 more species (19.7%), with only 216 species recorded for the standard ≥10 cm dbh minimum size usually applied in tropical forests. A SHE analysis also showed greater richness (ln(S)) and H diversity for the >2.0 cm than the ≥10cm stem diameters. Hence, the study reaffirmed that the use of 10 cm as a minimum dbh in woody plant diversity studies in forests, where many tree species rarely exceed 10 cm stem diameter, is highly likely to underestimate diversity and richness, potentially biasing the understanding of diversity patterns. The most speciose families were Euphorbiaceae, Fabaceae, Rubiaceae, Moraceae, Meliaceae, Rutaceae, Annonaceae, and Flacourtiaceae, accounting for 147 species. Families with the highest Familial Importance values (FIV) were; Fabaceae (17.5), followed by Euphorbiaceae (16.3), and Ulmaceae (8.35). The BFR exhibits characteristics intermediate between log-normal and log-series species-abundance distributions, indicating a community with a small number of abundant species and a relatively large proportion of rare species. Both Whittaker’s (βw) and the Morisita-Horn Index measures of β-diversity consistently showed higher β-diversity for logged and arboricide treated areas, followed by logged only, and then nature reserve historical management practice types. β-diversity was relatively high at the total forest community scale, but lower for stem diameter ≥2.0 cm than ≥10.0 cm data. Environmental variables significantly explained 66.5% and 61.9% of the variance in species composition for stem diameter ≥2.0 cm and ≥10.0 cm data, respectively. Hence, the variation in species composition of BFR is characterised by significant spatial patterns, and the patterns in β-diversity are to a great extent associated with environmental heterogeneity (i.e. soil nutrients, topographic and light gradients) and anthropogenic disturbances. Investigation of natural regeneration showed that sprouting is generally common among the woody species, with both canopy and sub-canopy trees sprouting prolifically. Of the 122 species affected by ii harvesting, and tree and branch fall disturbances, 199 (97.5%) from 31 families sprouted from the cut stumps, with only Caloncoba crepiniana (De Wild. & Th.Dur.) Gilg exhibiting both stem and root sprouting. Stump basal diameter, height, bark-thickness, and height of stump above the ground at which the first sprout emerged, were significant predictors of sprouting ability among individuals. Number of sprouts/stump differed significantly among families, species, and stump size-classes. Of the 241 seedling species, representing 46 families, about 30.3% were rare (only 2-10 individuals); while 12% were very rare (only 1 individual each). Cynometra alexandri C.H. Wright and Lasiodiscus mildbraedii Engl. were the most abundant seedlings and also among the most widely distributed species in the forest. Analysis of similarity (ANOSIM) revealed significant differences in seedling composition between transects, but not between topographic positions or historical management practice types. Canonical Correspondence Analysis (CCA) showed that the measured environmental variables significantly explained 59.4% of the variance in seedling species distributions, with the three most important variables being organic matter, titanium and leaf area index (LAI; an indicator of light availability below the canopy). Hence, the important mechanisms influencing regeneration via seedlings in BFR operate through the soil system, and the ground and canopy vegetation characteristics. Nine of the 15 intensively studied multiple-use species, namely L. mildbraedii, Celtis Mildbraedii Engl., Pouteria altissima (A. Chiev.) Aubrev. & Pellegr., Chrysophyllum albidum G. Don., C. alexandri, Diospyros abyssinica (Hiern) F. White, Funtumia elastica (Preuss) Stapf., Chrysophyllum perpulchrum Hutch. & Dalz, and Antiaris toxicaria (Pers.) Lesch. had highly negative size-class distribution (SCD) slopes and substantial seedling regeneration. While Alstonia boonei De Wild. and Cordia millenii Bak. had weakly negative SCD slopes and pulsed or sporadic regeneration patterns. The wide distribution of seedlings for a variety of species, and with most of the intensively studied species having population structures showing healthy regeneration patterns, suggests that BFR is currently experiencing a continuous regeneration phase. In conclusion, the gradients in the vegetation of BFR are a reflection not only of site conditions as shown by the edaphic and abiotic factors, but also the history of human interventions.

Plantas cultivadas em ambientes com média e alta disponibilidade de cádmio apresentam menor produção de folhas e perfilhos devido à maior quantidade de cádmio absorvido, resultando em menor produção de biomassa. O fornecimento de enxofre às plantas pode minimizar os efeitos negativos causados pelo cádmio, uma vez que esse nutriente participa de compostos que atuam no sistema antioxidante, conferindo maior tolerância aos metais pesados. Objetivou-se avaliar as modificações ocorridas: i) nos aspectos morfológicos, morfogênicos e produtivos; ii) no estado nutricional e iii) na resposta do sistema antioxidante do capim-tanzânia (Panicum maximum) cultivado com combinações de doses de enxofre (0,1; 1,0; 1,9; 2,8 e 3,7 mmol L-1) e de cádmio (0,0; 0,5; 1,0; 1,5 e 2,0 mmol L-1) em solução nutritiva. O experimento foi desenvolvido em casa de vegetação, utilizando o esquema fatorial 5² fracionado, em blocos ao acaso, com seis repetições. O primeiro corte do capimtanzânia foi realizado 40 dias após o transplantio das mudas para os vasos e o segundo corte 18 dias após o primeiro. Para a taxa de mortalidade de perfilhos, valor SPAD, concentração de cádmio e a atividade da APX (segundo corte) do capim-tanzânia foi significativa a interação doses de enxofre x doses de cádmio, de forma que o suprimento de enxofre atenuou a taxa de mortalidade, diminuiu a quantidade de cádmio absorvida, aumentou o valor SPAD e a atividade da APX. O teor de água, número de perfilhos, taxa de aparecimento de perfilhos, número de folhas, área foliar, taxa de aparecimento foliar, razão de área foliar, produção de massa seca da parte aérea e das raízes, valor SPAD, concentração de potássio, teor de GSH e a atividade da CAT foram menores com o fornecimento de cádmio na solução nutritiva. De forma contrária, as concentrações de nitrogênio, fósforo, zinco e cádmio, o fator de transporte do cádmio, os teores de GSSG e glutationa, e a atividade da APX aumentaram. O fornecimento de enxofre aumentou a concentração de enxofre na parte aérea do capimtanzânia. Os efeitos causados pelo cádmio são mais acentuados durante a rebrotação, principalmente, em condições de alta disponibilidade do metal pesado. As enzimas CAT e GR apresentaram mais isoformas na parte aérea do que nas raízes do capim-tanzânia, sugerindo que esse tecido é mais eficaz no combate aos danos oxidativos causados pelas altas concentrações de cádmio. O suprimento de enxofre ao capim-tanzânia cultivado em ambientes com alta disponibilidade de cádmio é indicado para aumentar a tolerância da gramínea ao metal pesado. / Plants grown at medium and high cadmium availability has produced low number of leaves and tillers due to the great amount of cadmium absorbed, resulting in lower biomass production. Sulfur supply to plants may mitigate negative effects caused by cadmium, since compounds containing sulfur participate of the antioxidative plant system, resulting in greater tolerance to heavy metals. This study evaluated changes in: i) morphological, morphogenesis and productive aspects, ii) nutritional status, and iii) response of the antioxidative system of Tanzania guineagrass (Panicum maximum) grown under combined sulfur rates (0.1; 1.0, 1.9, 2.8 and 3.7 mmol L-1) and cadmium rates (0.0, 0.5, 1.0, 1.5 and 2.0 mmol L-1) in nutrient solution. The experiment was conducted in greenhouse, by using a fractionated factorial 5², in randomized block design, with six replications. The first harvest of Tanzania guineagrass was performed at 40 days after seedlings transplanting to the pots, and the second at 18 days after the first harvest. Mortality rate of tillers, SPAD value, cadmium concentration and APX activity (second harvest) of Tanzania guineagrass had statistically significant sulfur rates x cadmium rates interaction, since that sulfur supply mitigate the mortality rate, decreased the amount of cadmium absorbed and increased SPAD value and the APX activity. The water content, number of tillers, tiller emergence rate, number of leaf, leaf area, leaf emergence rate, ratio of leaf area, dry mass of shoots and roots, SPAD value, potassium concentration, GSH content and CAT activity decreased with the cadmium supply in the nutrient solution. Contrary to that, nitrogen, phosphorus, zinc and cadmium concentrations were increased as well as the transporting factor of cadmium, GSSG and glutathione contents and APX activity. Sulfur supply increased sulfur concentration in shoots of Tanzania guineagrass and the effects of cadmium were more pronounced during the plant regrowth period, especially under high availability of the heavy metal. Isoforms of CAT and GR showed higher abundance in shoots compared to roots, suggesting higher effectiveness of such tissue in avoiding oxidative damage caused by high concentrations of cadmium. Thus, sulfur supply to the Tanzania guineagrass grown in environment with high cadmium availability is indicated to increase tolerance to this heavy metal.