Tropical habitats face a diverse range of anthropogenic threats. Two common and important threats to tropical biodiversity are invasive species and roads. Invasive plants are proposed to be a major threat to biodiversity worldwide, yet not much is known about their impacts on higher trophic levels, such as insects. Roads and other linear intrusions, such as power lines and railway tracks, are another common aspect of human disturbance in natural landscapes, including tropical forests, and are often linked to the spread of invasive plants. I studied impacts of these two important proximate drivers of habitat disturbance, namely invasive plant species and roads, on habitat use by butterflies in a tropical moist deciduous forest in Western Ghats of India. Invasive plants and roads are expected to modify micro-habitat structure, resources and other aspects of ecology of butterflies and thereby influence how they use space (i.e., micro-habitats within the larger habitat). Because systematic ecological information on tropical butterflies is comparatively limited, I adopted a multi-species approach. I examined space use responses of butterflies to a gradient of lantana cover in the forest and to a road passing through forest. The abundance of different species of butterflies in different micro-habitats was taken as a measure of habitat use. Data was collected over two seasons and at two spatial scales. The two habitat disturbances were found to influence local habitat use by butterflies. But interestingly, species appeared to respond differently, with some showing positive, others negative and some no clear association with road verge or lantana gradient. I then examined whether this variation in response could be understood in terms of species-specific functional traits. Correlating the responses of species to a habitat disturbance with functional traits may provide a way of arriving at general patterns and increase the ability of studies to predict responses. Species with similar trait values are expected to respond similarly to a habitat change driver. I measured morphological traits in 254 butterfly species from India and classified them according to their habitat preferences (based on expert opinion). I first examined relationships between morphological traits, habitat preferences and evolutionary relatedness. I then examined patterns of correlation between these traits and responses to the two habitat disturbances and found that certain traits can help predict responses. Overall, my study suggests that butterfly space use is influenced by roads and lantana, but the response varies across species. These changes in habitat use might have important population or community-level consequences, such as population declines and shifts in community structure and composition; these need to be further examined.

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Butterfly weed (Asclepias tuberosa) is a primary larval food source for the monarch butterfly (Danaus plexippus). Planting more butterfly weed may stimulate declining monarch populations. To that end, a habitat suitability map was created for Mississippi in GIS using soil pH, soil texture, and land cover. Herbarium data were derived from the Southeast Regional Network of Expertise and Collections (SERNEC) database. Environmental data were from the USDA National Resource Conservation Service geospatial data gateway. Frequency analysis was used to assign scores to environmental variables of SERNEC occurrences using a suitability index. Global positioning systems (GPS) locations of butterfly weed were collected to validate the model. The most suitable model with 78.9% of GPS points in medium to high suitability was a weighted sum overlay with land cover 50%, soil pH 25%, and soil texture 25%. The suitability map may enable conservationists to identify suitable sites for butterfly weed in Mississippi.

No description available.

Many highly-evolved bio-photonic structures, which tailor the propagation of light by coherent optical scattering, have been investigated. These natural designs, which have many diverse ecological functions, are becoming increasingly studied as sources of innovation and inspiration for a range of scientific, technological, and commercial applications. The brilliant blue colour reflected from the scales of the Morpho butterfly is just one example of nature’s ability to manipulate light and colour strongly. In this thesis, the photonic structure present in the scales of the Morpho butterfly is investigated as a source of bio-inspiration in the pursuit of high- performance photonic vapour sensors. The intention of this is to outperform classical sensor approaches which traditionally suffer from poor selectivity between chemical species. By measuring the change in reflectance from the iridescent scales of the Morpho butterfly, both a sensitive and, critically, a selective response to chemical vapours can be obtained. Here, the origin of this unique multivariable vapour-induced optical response is investigated, and this biological template is further explored as a source of innovation for the mature field of chemical sensing. By using synergy between experimental and theoretical techniques, a mechanism for the sensitive and selective response of the Morpho butterfly’s scales to different chemical vapour environments is elucidated. This mechanism arises from combined chemical and physical effects within the photonic nanostructure. Following this, demonstrations of this biological template’s vapour response attributes, which have large and desirable diversity in the optical responses, are made. These response attributes are visualised in the spectral changes associated with optical excitation conditions, such as from different angles and polarisation states, and also in the temporal response profiles. Finally, theoretical sensor designs that outperform the Morpho scales are described. Simple principles that might improve the currently unacceptable levels of selectivity in contemporary sensor implementations are outlined and the vapour response of a Morpho-inspired photonic structure is presented.

The aim of this thesis is to conduct performance investigation of a combined system of Network Coding (NC) technique with Ant-Colony (ACO) routing protocol. This research analyses the impact of several workload characteristics, on system performance. Network coding is a significant key development of information transmission and processing. Network coding enhances the performance of multicast by employing encoding operations at intermediate nodes. Two steps should realize while using network coding in multicast communication: determining appropriate transmission paths from source to multi-receivers and using the suitable coding scheme. Intermediate nodes would combine several packets and relay them as a single packet. Although network coding can make a network achieve the maximum multicast rate, it always brings additional overheads. It is necessary to minimize unneeded overhead by using an optimization technique. On other hand, Ant Colony Optimization can be transformed into useful technique that seeks imitate the ant’s behaviour in finding the shortest path to its destination using quantities of pheromone that is left by former ants as guidance, so by using the same concept of the communication network environment, shorter paths can be formulated. The simulation results show that the resultant system considerably improves the performance of the network, by combining Ant Colony Optimization with network coding. 25% improvement in the bandwidth consumption can be achieved in comparison with conventional routing protocols. Additionally simulation results indicate that the proposed algorithm can decrease the computation time of system by a factor of 20%.

Evidence is accumulating that climate change is having a significant effect on a wide range of organisms spanning the full range of biodiversity found on this planet. This study investigates the ecological role of climate change, the North Atlantic Oscillation (NAO) and habitat change on British insect populations. Despite the NAO having a considerable effect on British weather, the role of the NAO on British insects has not previously been studied in great detail. The World's two best entomological time series datasets were used – the United Kingdom Butterfly Monitoring Scheme (UKBMS) and the Rothamsted Insect Survey of aphids – both surveys with very large sample sizes and high quality data. Summary of main findings: 1. Warm weather associated with a positive NAO index caused the spring migration of the green spruce aphid (Elatobium abietinum), a pest species of spruce trees (Picea) to start earlier, continue for longer and contain more aphids. An upward trend in the NAO index during the period 1966-2006 is associated with an increasing population size of E. abietinum. 2. The NAO does not affect the overall UK butterfly population size. However, the abundance of bivoltine butterfly species, which have a longer flight season, were more likely to respond positively to the NAO compared to univoltine species, which show little or a negative response. 3. A positive winter NAO index was associated with warmer weather and earlier butterfly flight dates. For bivoltine (two generations in a year) species, the NAO affects the phenology of the first generation, and then the timing of the second generation is indirectly controlled by the timing of the first generation. The NAO influences the timing of the butterfly flight seasons more strongly than it influences population size. 4. Butterfly data from Monks Wood National Nature Reserve in Cambridgeshire showed that the NAO does not affect the abundance of the whole butterfly community, but it does affect the population size of some species. The NAO does not affect butterfly diversity, but there were decreases in butterfly diversity and number of species with time. 5. The total number of butterflies counted at Monks Wood was constant for most of the time series. However, the population size of the ringlet (Aphantopus hyperantus) increased from very low numbers to more than half the total number of butterflies counted each year. Therefore the total population size of all the other species has decreased considerably. 6. The NAO was more important than climate change in determining the flight phenology of the meadow brown butterfly (Maniola jurtina) at Monks Wood. In conclusion, the NAO affects the abundance of some species of British butterfly, and an aphid species, with a stronger effect on the timing of flight rather than abundance. There was evidence for a long-term decrease in the biodiversity of butterflies at Monks Wood and this decrease is likely to continue.

A major challenge to evolutionary developmental biology is to understand the how modifications to gene regulatory networks can lead to biological diversity. Heliconius butterfly wing patterns provide an excellent example of this diversity. In particular, the species H. melpomene and H. erato display wide variation in wing pattern across their ranges in Central and South America, but wherever they co-occur, they have converged on remarkably similar wing patterns due to Müllerian mimicry. Linkage analysis of wing pattern genes has shown that in both species, there are three genomic loci that are responsible for most of the pattern variation, and that these loci are homologous. One locus, containing the transcription factor optix, is responsible for red pattern elements. A set of non-coding sequences linked to some of the red pattern elements have been identified. Another locus, containing the gene WntA, has been linked to the shape of the forewing band elements and is responsible for variation in wing pattern development in several species of lepidoptera. A third locus, responsible for yellow pattern elements, contains multiple candidate genes that may affect wing pattern development, including the gene cortex, which is also linked to the industrial melanism phenotype in the moth Biston betularia, as well as the genes domeless and washout, linked to the Bigeye mutant in Bicyclus anynana. I first investigated modifications to regulatory sequence near the transcription factor optix, detecting a module associated with the band pattern element. I also found that for some pattern regulatory modules at optix, the same sequence has independently evolved the same function in H. melpomene and H. erato, in association with non-coding sequences conserved throughout the Lepidoptera. I then investigated gene expression differences in two morphs from either side of a hybrid zone that vary only in the presence or absence of a yellow pattern element, in order to determine a role for candidate genes at the yellow pattern locus. In H. melpomene the gene cortex was upregulated in the larval wing discs of the black morph, whereas in H. erato it was upregulated in the larval wing discs of the yellow morph. In pupal wings, washout was differentially expressed, again in the opposite pattern in the two species, suggesting the same locus is responsible for convergent pattern modification, but by a different mechanism. Finally, I investigated the spatial transcriptomic landscape across the wings of three different heliconiine butterflies. I identified candidate factors for regulating the expression of wing patterning genes, including genes with a conserved expression profile in all three species, and others, including genes in the Wnt pathway, with markedly different profiles in each of the three species. Each of these studies contributes to our understanding of how gene regulatory networks can be modified to create diversity: first, at the level of cis-regulation, second at the level of gene interaction and expression, and lastly at the level of developmental bias and constraint.

Flight is a vital component of butterfly natural history, and flight-associated morphology is thought to be under strong selection for the performance of critical behaviors such as patrolling, courtship and oviposition. However, while different behaviors require different proportions of flapping versus gliding flight, few studies actually quantify butterfly flight behavior. Moreover, as butterfly flight is anteromotoric, no prior study has measured the role of hind wing allometry in flight. Using high-speed videography, this study compares the flight of two species of Haeterini (Nymphalidae) that regularly employ gliding flight. We also employ stereo videography and experimental hind wing area reduction to measure the effects of hind wing allometry on flight. Results suggest that although the forewings are reliable predictors of flight in these two species, relative hind wing area can significantly affect gliding flight performance, and should be considered as a factor in future investigations on flight-associated morphology in butterflies.

The impact of habitat fragmentation and the success of habitat restoration were studied through a multi-taxonomic approach. The response to landscape structure and/or habitat quality of three taxonomic groups was explored, in (semi-)natural habitats. The three taxonomic groups were complementary, both in terms of their specific life history traits and their place in the food chain. We considered autotrophic species (vascular plants), herbivores (butterflies) and predators (spiders). Life-history traits and species specialization for target habitat were used to refine the analysis. Target habitat was a complex of wet heathlands, poor fens and bogs. Patches of this complex of habitats were sampled on two high plateaus in the Belgian Ardenne, the Plateau de Saint-Hubert and the Plateau des Tailles. Over the last 250 years, two jointly acting habitat dynamics were observed in these areas: a loss of area (and connectivity) on the one hand but also the creation of new habitat patches. It is precisely this double dynamics that enabled us to analyze and develop concepts linked to the response of species faced with spatio-temporal modifications of their habitat. Specifically, in this work we focused on the comprehension of two unbalanced situations, affecting the relationships between species richness and patch characteristics. A first unbalanced situation, the extinction debt, was observed for vascular plant communities. On the opposite, a colonization credit, the second unbalanced situation, was noted for butterflies and seemed to mainly affect specialist species. Specialist species of the three taxonomic groups showed relatively contrasted responses compared to generalist species. However, the life-history traits we studied only slightly influenced the response of species at the community level, excepted for pioneer communities in habitat patches less than 5 years old.