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Understanding land cover degradation patterns and the effects of geomorphological units on phytodiversity is important for guiding management decisions and restoration strategies in the Sahelian vulnerables zones. This paper describes land cover degradation by combining Landsat TM image analysis and field data measurements in the Gourouol catchment of the Sahelian zone of Burkina Faso. Erdas Imagine 9.2 and Arc-GIS.10 were applied. The change patterns were obtained by superposing land cover maps for 1992 and 2010. The field data were collected by the mean of inventories according to the Braun-Blanquet phytosociological relevés methods. Plot sizes were 50 m x 20 m for woody species and 10 m x 10 m for herbaceous species. Six land cover types were identified and mapped: cultivated lands, bared lands, lowlands, which all spatially increased; and shrub-steppes, grasslands and water bodies, which all spatially decreased. The dynamic patterns based on the geomorphological units were non-degraded lowlands, stable sand dunes and degraded glacis. High plant diversity was found in lowlands, whereas low diversity occurred in glacis. A significant dissimilarity was observed between communities. The Shannon diversity indices in plant communities were approximately close to ln(species richness). The Pielou indices were close to 1, indicating a species fairly good distribution. Our results showed a variation of land cover over time and the effects of geomorphological units on phytodiversity. Furthermore, this variation helps oppose land degradation in the Sahel.
The Asian bush mosquito (Aedes japonicus japonicus, Theobald 1901) is an invasive culicid species which originates in Asia but is nowadays present in northern America and Europe. It is a competent vector for several human disease pathogens. In addition to the public health threat, this invasive species may also be an ecological threat for native container-breeding mosquitoes which share a similar larval habitat. Therefore, it is of importance to gain knowledge on ecological and eco-toxicological features of the Asian bush mosquito. However, optimal laboratory feeding conditions have not yet been established. Standardized feeding methods will be needed in assessing the impact of insecticides or competitional strength of this species. To fill this gap, we performed experiments on food quality and quantity for Ae. j. japonicus larvae. We found out that the commercial fish food TetraMin (Tetra, Melle, Germany) in a dose of 10 mg per larva is the most suitable food tested. We also suggest a protocol with a feeding sequence of seven portions for all larval stages of this species.
Stechmücken (Dipteren: Culicidae) sind weltweit mit über 3500 Arten und mit Ausnahme der arktischen Regionen ubiquitär vertreten. Die medizinische Relevanz dieser Tiergruppe, begründet durch die hämatophage Lebensweise der Weibchen, erschloss sich bereits Ende des 19. Jh. und hat bis heute Bestand. Jedes Jahr sterben rund 600.000 Menschen an den Folgen der Malaria und fast 100 Mio. Menschen infizieren sich mit dem Denguefieber. Zwar beziehen sich diese Zahlen fast ausschließlich auf die Entwicklungsländer, aber im Zuge des Klimawandels und des immer stärkeren Welthandels kommt es auch in Europa und den USA immer wieder zu Ausbrüchen vorher nicht relevanter Krankheiten. So hat sich das West-Nil- Virus seit 1999 in Nordamerika rasant verbreitet. Im Jahr 2013 gab es dort rund 2500 Fälle, von denen 119 zum Tod führten. In Europa traten hingegen Krankheiten wie das Chikungunyafieber (Italien 2007) oder das Denguefieber (Frankreich 2010/2013) auf. Die Gründe für diese Ausbrüche sind vor allem in der Einschleppung neuer Vektorspezies und Krankheitserreger sowie in den veränderten Wirtspräferenzen einheimischer Stechmückenarten zu suchen. Das Wissen um das Vektorpotential der in Deutschland heimischen Stechmücken konnte vor allem durch die seit 2009 initiierten Monitoring-Programme stetig erweitert werden. Auch die Veränderung der heimischen Fauna durch invasive Arten wie Ochlerotatus japonicus japonicus oder Aedes albopictus wird intensiv erforscht. Dennoch ist hinsichtlich der Biologie, Ökologie sowie Genetik vieler Arten noch immer wenig bekannt.
Die vorliegende Dissertation, welche auf Basis von vier (ISI-) Einzelpublikationen kumulativ angefertigt wurde, beschäftigte sich mit der Analyse der genetischen Variabilität sowie der Zoogeographie der untersuchten Arten und der Etablierung einer schnellen und kostengünstigen Methode zur Artdiagnostik. Besonderes Augenmerk wurde bei den Analysen auf die beiden heimischen Arten Culex pipiens und Culex torrentium sowie die invasive Art Ochlerotatus japonicus japonicus gelegt. Ziel war es, die noch bestehenden Wissenslücken zu füllen, um zukünftige Monitoring-Programme besser koordinieren sowie Analysen zur Vektorkompetenz und Genetik dieser Arten gezielter durchführen zu können.
Es konnte gezeigt werden, dass Cx. pipiens und Cx. torrentium deutliche Unterschiede in ihren Populationsstrukturen aufwiesen welche auf verschiedene evolutive Prozesse hindeuten. Die geringere genetische Variabilität in Cx. pipiens lässt auf positive Selektion durch z.B. Insektizidresistenz im Zuge durchgeführter Bekämpfungsmaßnahmen oder die Infektion mit Wolbachien schließen. Die analysierte Populationsstruktur von Cx. torrentium spricht hingegen für eine geringe Ausbreitung, wodurch der genetische Austausch reduziert wurde und so die untersuchten Populationen genetisch stärker voneinander abwichen. Des Weiteren ließen die Analysen des Cytochrom c Oxidase Untereinheit 1-Fragmentes (cox1) Rückschlüsse auf die Zoogeographie dieser Arten in Deutschland zu - wobei beide Arten über das Untersuchungsgebiet verteilt waren, Cx. torrentium jedoch in den neuen Bundesländern weniger häufig nachgewiesen wurde als in den alten und eine geringere gefangene Individuenzahl aufwies. Basierend auf der ökologischen Nischenmodellierung konnten potentiell neue Verbreitungsgebiete für die Art Ochlerotatus japonicus japonicus identifiziert werden. Als klimatisch besonders günstig zeigten sich dabei Südhessen, das Saarland sowie nördliche Teile Nordrhein-Westfalens. Mit Hilfe der etablierten Methode der direct-PCR wird in Zukunft eine schnellere und kostengünstigere Identifizierung von Stechmücken erfolgen können, welche aufgrund bestimmungsrelevanter Merkmale nicht mehr morphologisch zu identifizieren sind.
Um das Wissen über die Stechmücken in Deutschland fortlaufend zu intensivieren, ist sowohl das Weiterführen der Monitoring-Programme als auch die molekularbiologische Aufarbeitung der Proben nötig. Durch die Anwendung neuer Techniken und weiterer molekularer Marker wird es möglich sein, weitere Krankheitserreger sowie genetische Besonderheiten der heimischen Stechmückenfauna nachzuweisen. Aber auch die Überwachung invasiver Stechmückenarten durch die Modellierung potentieller Verbreitungsgebiete und die Anwendung molekularbiologischer Analysemethoden zum Detektieren der Arten und möglicher Krankheitserreger wird ein wichtiger Bestandteil der weiteren Forschung sein.
Since few decades there is a broad debate about the so called ecological crisis. The debate had its highlight at the Rio-Conference in 1992. This conference was also the starting point for a wide range of political efforts concerned with a broad spectrum of biodiversity issues. Insofar, the term ‘biodiversity’ is not one of the natural sciences, but one which is inherently connected with questions of good human life. This article argues that the question for the good life predominantly fulfills a heuristic function and is to be answered in light of certain societal relations to nature. Furthermore, in light of these societal relations to nature it is argued for a virtue ethical approach with respect to the individual good life, whereas concerning the scale of societal aspects transdisciplinarity is identified as the appropriate research mode, which addresses both societal and scientific issues.
Even though the microevolution of plant hosts and pathogens has been intensely studied, knowledge regarding macro-evolutionary patterns is limited. Having the highest species diversity and host-specificity among Oomycetes, downy mildews are a useful a model for investigating long-term host-pathogen coevolution. We show that phylogenies of Bremia and Asteraceae are significantly congruent. The accepted hypothesis is that pathogens have diverged contemporarily with their hosts. But maximum clade age estimation and sequence divergence comparison reveal that congruence is not due to long-term coevolution but rather due to host-shift driven speciation (pseudo-cospeciation). This pattern results from parasite radiation in related hosts, long after radiation and speciation of the hosts. As large host shifts free pathogens from hosts with effector triggered immunity subsequent radiation and diversification in related hosts with similar innate immunity may follow, resulting in a pattern mimicking true co-divergence, which is probably limited to the terminal nodes in many pathogen groups.
Background: The presence of the recently introduced primary dengue virus vector mosquito Aedes aegypti in Nepal, in association with the likely indigenous secondary vector Aedes albopictus, raises public health concerns. Chikungunya fever cases have also been reported in Nepal, and the virus causing this disease is also transmitted by these mosquito species. Here we report the results of a study on the risk factors for the presence of chikungunya and dengue virus vectors, their elevational ceiling of distribution, and climatic determinants of their abundance in central Nepal.
Methodology/Principal findings: We collected immature stages of mosquitoes during six monthly cross-sectional surveys covering six administrative districts along an altitudinal transect in central Nepal that extended from Birgunj (80 m above sea level [asl]) to Dhunche (highest altitude sampled: 2,100 m asl). The dengue vectors Ae. aegypti and Ae. albopictus were commonly found up to 1,350 m asl in Kathmandu valley and were present but rarely found from 1,750 to 2,100 m asl in Dhunche. The lymphatic filariasis vector Culex quinquefasciatus was commonly found throughout the study transect. Physiographic region, month of collection, collection station and container type were significant predictors of the occurrence and co-occurrence of Ae. aegypti and Ae. albopictus. The climatic variables rainfall, temperature, and relative humidity were significant predictors of chikungunya and dengue virus vectors abundance.
Conclusions/Significance: We conclude that chikungunya and dengue virus vectors have already established their populations up to the High Mountain region of Nepal and that this may be attributed to the environmental and climate change that has been observed over the decades in Nepal. The rapid expansion of the distribution of these important disease vectors in the High Mountain region, previously considered to be non-endemic for dengue and chikungunya fever, calls for urgent actions to protect the health of local people and tourists travelling in the central Himalayas.
Background: Despite its largely mountainous terrain for which this Himalayan country is a popular tourist destination, Nepal is now endemic for five major vector-borne diseases (VBDs), namely malaria, lymphatic filariasis, Japanese encephalitis, visceral leishmaniasis and dengue fever. There is increasing evidence about the impacts of climate change on VBDs especially in tropical highlands and temperate regions. Our aim is to explore whether the observed spatiotemporal distributions of VBDs in Nepal can be related to climate change.
Methodology: A systematic literature search was performed and summarized information on climate change and the spatiotemporal distribution of VBDs in Nepal from the published literature until December 2014 following providing items for systematic review and meta-analysis (PRISMA) guidelines.
Principal findings: We found 12 studies that analysed the trend of climatic data and are relevant for the study of VBDs, 38 studies that dealt with the spatial and temporal distribution of disease vectors and disease transmission. Among 38 studies, only eight studies assessed the association of VBDs with climatic variables. Our review highlights a pronounced warming in the mountains and an expansion of autochthonous cases of VBDs to non-endemic areas including mountain regions (i.e., at least 2,000 m above sea level). Furthermore, significant relationships between climatic variables and VBDs and their vectors are found in short-term studies.
Conclusion: Taking into account the weak health care systems and difficult geographic terrain of Nepal, increasing trade and movements of people, a lack of vector control interventions, observed relationships between climatic variables and VBDs and their vectors and the establishment of relevant disease vectors already at least 2,000 m above sea level, we conclude that climate change can intensify the risk of VBD epidemics in the mountain regions of Nepal if other non-climatic drivers of VBDs remain constant.
Ceraceosorus bombacis is an early-diverging lineage of smut fungi and a pathogen of cotton trees (Bombax ceiba). To study the evolutionary genomics of smut fungi in comparison with other fungal and oomycete pathogens, the genome of C. bombacis was sequenced and comparative genomic analyses were performed. The genome of 26.09 Mb encodes for 8,024 proteins, of which 576 are putative-secreted effector proteins (PSEPs). Orthology analysis revealed 30 ortholog PSEPs among six Ustilaginomycotina genomes, the largest groups of which are lytic enzymes, such as aspartic peptidase and glycoside hydrolase. Positive selection analyses revealed the highest percentage of positively selected PSEPs in C. bombacis compared with other Ustilaginomycotina genomes. Metabolic pathway analyses revealed the absence of genes encoding for nitrite and nitrate reductase in the genome of the human skin pathogen Malassezia globosa, but these enzymes are present in the sequenced plant pathogens in smut fungi. Interestingly, these genes are also absent in cultivable oomycete animal pathogens, while nitrate reductase has been lost in cultivable oomycete plant pathogens. Similar patterns were also observed for obligate biotrophic and hemi-biotrophic fungal and oomycete pathogens. Furthermore, it was found that both fungal and oomycete animal pathogen genomes are lacking cutinases and pectinesterases. Overall, these findings highlight the parallel evolution of certain genomic traits, revealing potential common evolutionary trajectories among fungal and oomycete pathogens, shaping the pathogen genomes according to their lifestyle.
An individual's choices are shaped by its experience, a fundamental property of behavior important to understanding complex processes. Learning and memory are observed across many taxa and can drive behaviors, including foraging behavior. To explore the conditions under which memory provides an advantage, we present a continuous-space, continuous-time model of animal movement that incorporates learning and memory. Using simulation models, we evaluate the benefit memory provides across several types of landscapes with variable-quality resources and compare the memory model within a nested hierarchy of simpler models (behavioral switching and random walk). We find that memory almost always leads to improved foraging success, but that this effect is most marked in landscapes containing sparse, contiguous patches of high-value resources that regenerate relatively fast and are located in an otherwise devoid landscape. In these cases, there is a large payoff for finding a resource patch, due to size, value, or locational difficulty. While memory-informed search is difficult to differentiate from other factors using solely movement data, our results suggest that disproportionate spatial use of higher value areas, higher consumption rates, and consumption variability all point to memory influencing the movement direction of animals in certain ecosystems.
Network graphs have become a popular tool to represent complex systems composed of many interacting subunits; especially in neuroscience, network graphs are increasingly used to represent and analyze functional interactions between multiple neural sources. Interactions are often reconstructed using pairwise bivariate analyses, overlooking the multivariate nature of interactions: it is neglected that investigating the effect of one source on a target necessitates to take all other sources as potential nuisance variables into account; also combinations of sources may act jointly on a given target. Bivariate analyses produce networks that may contain spurious interactions, which reduce the interpretability of the network and its graph metrics. A truly multivariate reconstruction, however, is computationally intractable because of the combinatorial explosion in the number of potential interactions. Thus, we have to resort to approximative methods to handle the intractability of multivariate interaction reconstruction, and thereby enable the use of networks in neuroscience. Here, we suggest such an approximative approach in the form of an algorithm that extends fast bivariate interaction reconstruction by identifying potentially spurious interactions post-hoc: the algorithm uses interaction delays reconstructed for directed bivariate interactions to tag potentially spurious edges on the basis of their timing signatures in the context of the surrounding network. Such tagged interactions may then be pruned, which produces a statistically conservative network approximation that is guaranteed to contain non-spurious interactions only. We describe the algorithm and present a reference implementation in MATLAB to test the algorithm’s performance on simulated networks as well as networks derived from magnetoencephalographic data. We discuss the algorithm in relation to other approximative multivariate methods and highlight suitable application scenarios. Our approach is a tractable and data-efficient way of reconstructing approximative networks of multivariate interactions. It is preferable if available data are limited or if fully multivariate approaches are computationally infeasible.