Detecting Submerged Macrophytes in a UK Chalk Stream Using Field Spectroscopy

Various studies using optical remote sensing in the marine environment have shown the possibilities of spectral discrimination of benthic macro and micro-algae. For in-land water bodies only very recently studies of have explored similar use of optical remote sensing to identify the taxonomic composition of algae and rooted plant communities. The importance of these communities for the functioning of river ecosystems warrants further research. In the study presented here, field spectroscopy is used to assess the possibilities of optically detecting macrophytes in a UK chalk streams. Spectral signatures of four common macrophytes were measured using a hand-held GER1500 spectroradiometer. Despite the strong absorption of near infrared in water, the results show that information on NIR can clearly contribute to the detection of submerged vegetation in shallow UK chalk stream environments. Observed spectra compare well with simulated submerged vegetation spectra, based on water absorption coefficients only. The field investigations, which were performed in the river Wylye, also indicate the confounding effects of specular reflection from riparian vegetation. The results of this study can inform remote sensing studies of the riverine environment using multi-spectral/low altitude sensors. Such larger scale studies will be highly beneficial for monitoring variation in chalk stream bioindicators, such as ranunculus.

Mapping of Submerged Aquatic Vegetation in Rivers From Very High Resolution Image Data, Using Object Based Image Analysis Combined with Expert Knowledge

The use of remote sensing for monitoring of submerged aquatic vegetation (SAV) in fluvial environments has been limited by the spatial and spectral resolution of available image data. The absorption of light in water also complicates the use of common image analysis methods. This paper presents the results of a study that uses very high resolution (VHR) image data, collected with a Near Infrared sensitive DSLR camera, to map the distribution of SAV species for three sites along the Desselse Nete, a lowland river in Flanders, Belgium. Plant species, including Ranunculus aquatilis L., Callitriche obtusangula Le Gall, Potamogeton natans L., Sparganium emersum L. and Potamogeton crispus L., were classified from the data using Object-Based Image Analysis (OBIA) and expert knowledge. A classification rule set based on a combination of both spectral and structural image variation (e.g. texture and shape) was developed for images from two sites. A comparison of the classifications with manually delineated ground truth maps resulted for both sites in 61% overall accuracy. Application of the rule set to a third validation image, resulted in 53% overall accuracy. These consistent results show promise for species level mapping in such biodiverse environments, but also prompt a discussion on assessment of classification accuracy.

Effect of CDC25 and WEE1 on Plant Cell Cycle and Morphogenesis

The cell cycle comprise the four phases of, G1, S-phase, G2 and mitosis. Two critical transitions are G1/S and G2/M; the latter is regulated by WEE1 kinase and CDC25 phosphatases. The scope of this thesis was to investigate the regulation of the G2/M transition of the cell cycle by WEE1 and CDC25, and how these genes interface with plant growth regulators in Arabidopsis thaliana. In Arabidopsis roots, the frequency of lateral roots was found to be increased by ectopic expression of Schizosaccharomyces pombe (Sp)cdc25e and reduced by Arath;WEE1 expression. I examined the effect of Arath;WEE1 and Spcdc25 on induction of shoots and roots in Arabidopsis hypocotyls in vitro. Hypocotyl explants from two over-expressing WEE1 lines , three T-DNA insertion lines and two expressing cdc25 (Spcdc25e) lines together with wild type (WT) were cultured on two-way gradients of kinetin (Kin) and naphthyl acetic acid (NAA). Below a threshold concentration of NAA (100 ng ml-1), WEE1 repressed morphogenesis in vitro, whereas at all NAA/Kin combinations Spcdc25 promoted morphogenesis (particularly root formation) over and above that in WT. Loss of function wee1-1 cultures were very similar to WT. Quantitative data indicated a significant increase in the frequency of root formation in Spcdc25e cultures compared with WT particularly at low Kin concentrations, and WEE1oe’s repressive effect was overcome by NAA but not Kin. In conclusion, WEE1 has a repressive effect on morphogenesis in vitro that can be overcome by auxin whereas Spcd25 by-passes a cytokinin requirement for the induction of morphogenesis in vitro. The role of CDC25 and WEE1 in DNA damage responses was also analysed. Two over-expressing Arath;CDC25 lines and T-DNA mutants showed no difference to WT either in standard conditions or zeocin-supplemented treatments. However, root length was longer in Arath;CDC25oe lines treated with hydroxyurea (HU) and lateral root number was increased compared to WT. This suggests a differential response of Arath;CDC25oe in the DNA replication (HU-induced) and DNA damage (zeocin-induced) checkpoints (Chapter 5). Finally the roles of WEE1 and CDC25 in cell cycle regulation were examined using tobacco TBY-2 cell cultures expressing Arath;WEE1, Nicotiana tabacum (Nicta)WEE1 or Arath;CDC25. Whilst Nicta;WEE1 lengthened G2 of the cell cycle, Arath;WEE1 had an unusual effect of shortening G2 phase and Arath;CDC25 had no observable effect (Chapter 6).

The Top 10 Oomycete Pathogens in Molecular Plant Pathology

Oomycetes form a deep lineage of eukaryotic organisms that includes a large number of plant pathogens that threaten natural and managed ecosystems. We undertook a survey to query the community for their ranking of plant pathogenic oomycete species based on scientific and economic importance. In total, we received 263 votes from 62 scientists in 15 countries for a total of 33 species. The Top 10 species and their ranking are: (1) Phytophthora infestans; (2, tied) Hyaloperonospora arabidopsidis; (2, tied) Phytophthora ramorum; (4) Phytophthora sojae; (5) Phytophthora capsici; (6) Plasmopara viticola; (7) Phytophthora cinnamomi; (8, tied) Phytophthora parasitica; (8, tied) Pythium ultimum; and (10) Albugo candida. The article provides an introduction to these 10 taxa and a snapshot of current research. We hope that the list will serve as a benchmark for future trends in oomycete research.

Quantifying Submerged Fluvial Topography Using Hyperspatial Resolution UAS Imagery and Structure From Motion Photogrammetry.

Quantifying the topography of rivers and their associated bedforms has been a fundamental concern of fluvial geomorphology for decades. Such data, acquired at high temporal and spatial resolutions, are increasingly in demand for process-oriented investigations of flow hydraulics, sediment dynamics and in-stream habitat. In these riverine environments, the most challenging region for topographic measurement is the wetted, submerged channel. Generally, dry bed topography and submerged bathymetry are measured using different methods and technology. This adds to the costs, logistical challenges and data processing requirements of comprehensive river surveys. However, some technologies are capable of measuring the submerged topography. Through-water photogrammetry and bathymetric LiDAR are capable of reasonably accurate measurements of channel beds in clear water. Whilst the cost of bathymetric LiDAR remains high and its resolution relatively coarse, the recent developments in photogrammetry using Structure from Motion (SfM) algorithms promise a fundamental shift in the accessibility of topographic data for a wide range of settings. Here we present results demonstrating the potential of so called SfM-photogrammetry for quantifying both exposed and submerged fluvial topography at the mesohabitat scale. We show that imagery acquired from a rotary-winged Unmanned Aerial System (UAS) can be processed in order to produce digital elevation models (DEMs) with hyperspatial resolutions (c. 0.02 m) for two different river systems over channel lengths of 50-100 m. Errors in submerged areas range from 0.016 m to 0.089 m, which can be reduced to between 0.008 m and 0.053 m with the application of a simple refraction correction. This work therefore demonstrates the potential of UAS platforms and SfM-photogrammetry as a single technique for surveying fluvial topography at the mesoscale (defined as lengths of channel from c.10 m to a few hundred metres). This article is protected by copyright. All rights reserved.