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La Manche orientale représente une zone économique importante qui supporte diverses activités anthropiques comme le tourisme, le transport maritime et l'exploitation de ressources vivantes ou minérales. De plus, cette région possède un riche patrimoine biologique illustré par sa grande diversité d'habitats. Les Aires Marines Protégées (AMP) sont souvent évoquées comme un instrument de gestion permettant d'aménager l'exploitation durable de ces ressources marines, dans le cadre d'une gestion écosystémique intégrée et responsable. Si les Etats ont pour obligation de créer des réseaux d'AMPs dans leurs eaux nationales, chacune d'elles est souvent localisée au cas par cas. Afin de coordonner la mise en place des différents réseaux d'AMPs, une démarche de planification spatiale systématique de la conservation est de plus en plus encouragée. Cette démarche a pour but de proposer un réseau d'AMP qui soit cohérent, même dans un contexte transfrontalier, comme c'est le cas en Manche orientale. Les travaux de recherche menés lors de cette thèse apportent ainsi une contribution scientifique à la mise en cohérence de l'aménagement des activités anthropiques avec les objectifs de conservation de l'écosystème marin de Manche orientale. Dans le cadre d'une approche de conservation intégrée, toute la biodiversité de la Manche orientale doit être représentée. Pour cela, en complément des typologies benthiques existantes dans la zone, une typologie des masses d'eau a été proposée et validée avec différents jeux de données d'espèces pélagiques. Marxan et Zonation, deux logiciels largement répandus en planification de la conservation ont été comparés dans le processus de conception du réseau d'AMP en Manche orientale. La conclusion a été que Marxan serait le logiciel utilisé pour la suite des analyses. En effet, ce logiciel est conçu pour atteindre clairement les cibles de conservation, ce qui facilite l'interprétation des résultats.Puis une étape essentielle de planification de la conservation a été réalisée à travers une analyse des lacunes (gap analysis) à l'échelle de la Manche orientale. Elle a permis de montrer que le réseau d'AMP existant atteint les cibles de conservation calculées dans cette thèse et qu'il couvre 33% de la Manche orientale. Il faut toutefois noter que l'étude des possibles lacunes au niveau de la gestion des AMPs n'a pu être réalisée de façon approfondie car la majorité de ces AMPS ne possèdent pas encore de plan de gestion défini.Finalement, l'influence de l'intégration des activités humaines dans le processus de conception du réseau d'AMP a été explorée grâce à l'utilisation de données d'effort de pêche et de données de débarquements. De plus, d'autres informations sur le trafic maritime, les extractions de granulats marins et les potentielles zones d'éoliennes en mer ont été ajoutées pour prendre en compte la totalité des usages et réglementation qui génèrent des contraintes spatiales en Manche orientale.

Approximately 25% of bats globally are threatened, but limited data on African bats, which account for 20% of bat species, hinders our understanding of their conservation status across this ecologically diverse continent. This study combined: modelling techniques, to predict current species distributions for 58 southern African bat species and project past, current and future distributions of 22 endemic and near-endemic species; bat acoustic surveys, to assess landscape features influencing bat activity in arid and semi-arid regions; and conservation planning software to design a large-scale monitoring network for bats across this subcontinent. Species distribution models were employed using a robust and well established presence-only modelling technique (Maximum Entropy – Maxent) to model the current distributions of 58 species in southern Africa. Although the important eco-geographical variables were species- or in some cases family-specific, overall water availability (both temporary and permanent), seasonal precipitation, vegetation and karst (caves/limestone) areas were the most important factors associated with distribution patterns. These species distributions were then used to identify range-restricted and narrow niche breadth species, alongside other life-history strategies considered to put species at risk, such as Old World pteropodids and cave-dwelling bats to identify species most at risk. Nine of the 58 species in this study were identified as ‘at risk’. Considering range-restriction and endemism separately, the results showed that range-restricted species were a higher proportion (50%) of ‘at risk’ species than endemics (41%) but six of the nine identified species were endemic and range restricted (67%). If only areas of high species richness are prioritised, important areas with low species richness but rare, ‘at risk’ or endemic species would be excluded. Species distributions are not fixed but may shift due to changes in environmental conditions. Accurately predicting changes in species’ distributions due to anthropogenic climate change remains a fundamental challenge for conservation biologists, and this is amplified when dealing with taxa such as bats that are inherently difficult to study and in areas, such as Africa, with sparse ecological data. To better understand endemic bat species risk to climate change in southern Africa and to highlight historical and future likely refugia, Maxent was employed to forecast range-shifts for 22 southern African endemic or near-endemic species. Species distributions were projected during the Last Glacial Maximum (LGM ~22,000 BP), present (1950-2000) and future (2070: averaged 2061-2080, using IPCC5 scenarios) climatic conditions. Climate change was predicted to change species composition extensively within a relatively short timescale (within 60 years). By 2070, 86% of species modelled are predicted to have range contractions and six species were highlighted to be most at risk, with range contractions of more than 20%. The majority of southern Africa is composed or arid or semi-arid regions. Generally arid and semi-arid areas are overlooked and understudied due to low species richness, yet these areas are known to have a high proportion of endemic species. As part of this study, driven transects were carried out across arid and semi-arid areas to assess bat activity in these areas. Bat activity was recorded at 94% of the acoustic surveys, demonstrating that driven transects are an effective method of surveying bats in southern Africa. Bat activity increased at lower altitudes and higher latitudes, which characteristically have more rainfall, permanent water and vegetation. Although water has been shown in other studies to be important for bats, temporary water was not shown to influence bat activity and permanent water was positively correlated with bat activity for hipposiderids and rhinolophids and FM bats, which may reflect the fact that water features important for bats at smaller scale. The same two vegetation types that were consistently negatively correlated with bat activity were drier vegetation types (Karoo-Namib shrubland) and high salinity halophytic vegetation. Finally, a systematic conservation planning software tool (Marxan) was used to design multi-species monitoring networks that incorporated all 58 target species across the 11 ecoregions found in southern Africa. To ensure rare, endemic and range-restricted species were monitored at the same level as widespread species, species distributions (mapped using Maxent) were extracted by ecoregion. Monitoring targets (i.e. a percentage of species distribution across ecoregions) were standardised to ensure the same percentage of predicted distribution was included across all species (rare and widespread). To account for different resources and capacity, three optimal monitoring networks (minimum monitoring stations to achieve the monitoring targets) were proposed to survey 1, 5 or 10% of all species distributions within each ecoregion. The optimal solution for monitoring 1% of species distributions within ecoregions was found by monitoring 1,699 stations (survey sites), or for 5% 8,486 stations and finally for 10% 17,867 stations would be needed. In conclusion, the findings presented in this thesis have important conservation implications and have the potential to inform the practical steps required towards the introduction of a bat monitoring programme in southern Africa. While this study has highlighted challenges to African bat conservation, it has also demonstrated that an integrated and multi-disciplinary approach, using emerging techniques and conservation tools (e.g. conservation planning and automated call analysis software) can be used to fill knowledge gaps and inform conservation priorities in the absence of systematically collected data.