Multi-level Governance and Security: The Security Sector Reform Process in the Central African Republic

Analysing how the SSR process in CAR has been defined and then implemented, this article puts emphasis on the international interactions between institutional actors who may be geographically/territorially situated at different levels of the policy-making process in different places around the world, thus suggesting ways to grasp multi-actor and multi-sited governance. Therefore, it advocates an approach which consists of expanding the agenda of the traditional multi-level governance approach. The issue at stake here is to capture the interactive institutional dynamic at an international level, thus developing a methodological framework that is likely to seize both the topdown and the bottom-up dynamics of decision-making processes. The first objective is to capture the sets of actors and procedures which drive the process, and to map out the various levels of government at which decisions are made, either the more top-down, or the more bottom-up oriented ones, answering two sets of questions: How is security governance organised? Who decides, and on which matters? Secondly – and more fundamentally – is to capture the intermingling of domestic and international decision-making processes which increasingly overlap and interfere with each other in Southern countries.multilevel governance

L’implication accrue des acteurs civils et non étatiques africains dans la gestion des politiques de sécurité

Au cours des dernières années, la politique du Pentagone en Afrique sub­saharienne a en partie consisté à susciter l’investissement accru des acteurs civils locaux (parlementaires, ONG, médias) dans la mise en œuvre des programmes de sécurité. Cet article analyse les mécanismes de socialisation politique à l’œuvre dans cet aspect méconnu de la coopération militaire et les tentatives de formalisation des standards sécuritaires africains en fonc­tion des normes et des valeurs qui prévalent aux États‑Unis. Ces actions apparaissent avant tout comme les instruments d’une stratégie d’influence passant par une tentative de pénétration et d’instrumentalisation (souvent à des fins de renseignement) des réseaux civils locaux par l’appareil militaire américain, qui coordonne l’action des autres agences gouvernementales (USAID) et non‑gouvernementales (ONG mais aussi Instituts démocrate et républicain).Over the last few years, the policy of the Pentagon in sub‑Saharan Africa has partly consisted in encouraging the increased involvement of local civilian actors (members of parliament, NGOs, the media) in the implementation of security programmes. This article analyses the mechanisms of political socialisation at work in this under‑examined aspect of military cooperation and attempts to formalise African security standards according to the norms and values which prevail in the United States. These actions appear above all to serve as the instruments of a strategy to exert increased influence through an attempt to penetrate and manipulate (often for intelligence purposes) local civilian networks by the American military apparatus, which coordinates the action of other governmental (USAID) and non‑governmental (NGOs and Democrat and Republican Institutes) agencies

Global priorities for conservation across multiple dimensions of mammalian diversity

Conservation priorities that are based on species distribution, endemism, and vulnerability may underrepresent biologically unique species as well as their functional roles and evolutionary histories. To ensure that priorities are biologically comprehensive, multiple dimensions of diversity must be considered. Further, understanding how the different dimensions relate to one another spatially is important for conservation prioritization, but the relationship remains poorly understood. Here, we use spatial conservation planning to (i) identify and compare priority regions for global mammal conservation across three key dimensions of biodiversity-taxonomic, phylogenetic, and traits-and (ii) determine the overlap of these regions with the locations of threatened species and existing protected areas. We show that priority areas for mammal conservation exhibit low overlap across the three dimensions, highlighting the need for an integrative approach for biodiversity conservation. Additionally, currently protected areas poorly represent the three dimensions of mammalian biodiversity. We identify areas of high conservation priority among and across the dimensions that should receive special attention for expanding the global protected area network. These high-priority areas, combined with areas of high priority for other taxonomic groups and with social, economic, and political considerations, provide a biological foundation for future conservation planning efforts

Biodiversity promotes resistance but dominant species shape recovery of grasslands under extreme drought

How biodiversity underpins ecosystem resistance (i.e. ability to withstand environmental perturbations) and recovery (i.e. ability to return to a pre-perturbation state), and thus, stability under extreme climatic events is a timely question in ecology. To date, most studies have focussed on the role of taxonomic diversity, neglecting how community functional composition and diversity beget stability under exceptional climatic conditions. In addition, land use potentially modulates how biodiversity and ecosystem functions respond to extreme climatic conditions. Using an 11-year time-series of plant biomass from 150 permanent grassland plots spanning a gradient of land-use intensity, we examined how taxonomic and functional components of biodiversity affected resistance and recovery of biomass under extreme drought. The association between biodiversity, land use and biomass varied across years, especially in the driest years. Species-rich or functionally diverse communities (associated with low land-use intensity) buffered extreme droughts better, while species-poor communities or those dominated by fast-growing species (associated with high land-use intensity) had higher recovery capabilities after a moderate-to-extreme drought. Synthesis. Our results show that plant community functional and taxonomic components determine grasslands resistance and recovery under moderate-to-extreme drought. In turn, this points to the importance of designing landscapes with both extensively and intensively managed grasslands. Functionally or taxonomically rich communities (favoured under low land-use intensity) would preserve biomass under extreme droughts, whereas species-poor or fast-growing communities (favoured by high land-use intensity) would restore biomass after extreme droughts

Towards a harmonization of distributed trait datasets

Trait-based research spans from evolutionary studies of individual-level properties to global patterns of biodiversity and ecosystem functioning. An increasing number of trait data is available for many different organism groups, being published as open access data on a variety of file hosting services. Thus, standardization between datasets is generally lacking due to heterogeneous data formats and types. The compilation of these published data into centralised databases remains a difficult and time-consuming task. We reviewed existing trait databases and online services, as well as initiatives for trait data standardization. Together with data providers and users we identified a need for a minimal trait-data terminology that is flexible enough to include traits from all types of organisms but simple enough to be adopted by different research communities. In order to facilitate reproducibility of analyses, the reuse of data and the combination of datasets from multiple sources, we propose a standardized vocabulary for trait data that is compatible with existing ontologies. We tested the vocabulary using trait datasets from several research groups working on different taxa and questions in a large project (the Biodiversity Exploratories, www.biodiversity-exploratories.de). By relying on unambiguous identifiers, the proposed minimal vocabulary for trait data captures the different degrees of resolution and measurement detail for multiple use cases of trait-based research. It further encourages the use of global Uniform Resource Identifiers (URI) for taxa and trait definitions, methods and units, thereby following the standards for a semantic web of scientific data. In addition, we developed an R-based tool to convert any trait dataset into the proposed standard format. The R-package facilitates the upload of own data to hosting services but also simplifies the access to published trait data. It also offers direct access to trait datasets that have been published in the public domain or under creative commons licenses. All these products are available through the Github platform (https://github.com/EcologicalTraitData) with the aim of a continuous collaboration and improvement with the research community. KEYWORDS: traits, standardization, ontology, semantic web, tools, distributed data, R package, Biodiversity Exploratorie

Insights from regional and short-term biodiversity monitoring datasets are valuable: a reply to Daskalova et al. 2021

Reports of major losses in insect biodiversity have stimulated an increasing interest in temporal population changes. Existing datasets are often limited to a small number of study sites, few points in time, a narrow range of land-use intensities and only some taxonomic groups, or they lack standardised sampling. While new monitoring programs have been initiated, they still cover rather short time periods. Daskalova et al. 2021 (Insect Conservation and Diversity, 14, 1-18) argue that temporal trends of insect populations derived from short time series are biased towards extreme trends, while their own analysis of an assembly of shorter- and longer-term time series does not support an overall insect decline. With respect to the results of Seibold et al. 2019 (Nature, 574, 671–674) based on a 10-year multi-site time series, they claim that the analysis suffers from not accounting for temporal pseudoreplication. Here, we explain why the criticism of missing statistical rigour in the analysis of Seibold et al. (2019) is not warranted. Models that include ‘year’ as random effect, as suggested by Daskalova et al. (2021), fail to detect non-linear trends and assume that consecutive years are independent samples which is questionable for insect time-series data. We agree with Daskalova et al. (2021) that the assembly and analysis of larger datasets is urgently needed, but it will take time until such datasets are available. Thus, short-term datasets are highly valuable, should be extended and analysed continually to provide a more detailed understanding of insect population changes under the influence of global change, and to trigger immediate conservation actions