Insurgent Building: Spatial Practices of Resistance in the Bedouin-State Conflict in Southern Israel

In the con?ict between Bedouin representatives and government authorities in the southern Israeli Negev, the term ‘insurgent building’ refers to the construction of buildings erected in the full expectation that they will be demolished by the Israeli police shortly thereafter. This article analyses how insurgent building is employed as a spatial practice by emerging political actors to claim contested Bedouin landownership. Importantly, insurgent building relies on the ability of media and advocacy organizations to mobilize behind the issue. Most of the relevant scholarship takes the interpretative categories advanced by these actors at face value. Following anthropological debates regarding objecti?cation and categorization, I examine the context of a speci?c case of insurgent building. Emerging political actors who employ insurgent building often rely on prede?ned ethnic categories and clear-cut people–state polarities. This case demonstrates the need for a more differentiated understanding of multilayered local dynamics than the one offered by mainstream linear interpretations. At a more abstract level, political actors contribute to the reproduction of the very categories against which they mobilize.

Behavioural context of multi-scale species distribution models assessed by radio-tracking

Incorporating ecological processes and animal behaviour into Species Distribution Models (SDMs) is difficult. In species with a central resting or breeding place, there can be conflict between the environmental requirements of the 'central place' and foraging habitat. We apply a multi-scale SDM to examine habitat trade-offs between the central place, roost sites, and foraging habitat in . Myotis nattereri. We validate these derived associations using habitat selection from behavioural observations of radio-tracked bats. A Generalised Linear Model (GLM) of roost occurrence using land cover variables with mixed spatial scales indicated roost occurrence was positively associated with woodland on a fine scale and pasture on a broad scale. Habitat selection of radio-tracked bats mirrored the SDM with bats selecting for woodland in the immediate vicinity of individual roosts but avoiding this habitat in foraging areas, whilst pasture was significantly positively selected for in foraging areas. Using habitat selection derived from radio-tracking enables a multi-scale SDM to be interpreted in a behavioural context. We suggest that the multi-scale SDM of . M. nattereri describes a trade-off between the central place and foraging habitat. Multi-scale methods provide a greater understanding of the ecological processes which determine where species occur and allow integration of behavioural processes into SDMs. The findings have implications when assessing the resource use of a species at a single point in time. Doing so could lead to misinterpretation of habitat requirements as these can change within a short time period depending on specific behaviour, particularly if detectability changes depending on behaviour. © 2011 Gesellschaft für ökologie.

Is Mortality Spatial or Social?

Mortality modelling for the purposes of demographic forecasting and actuarial pricing is generally done at an aggregate level using national data. Modelling at this level fails to capture the variation in mortality within country and potentially leads to a mis-specification of mortality forecasts for a subset of the population. This can have detrimental effects for pricing and reserving in the actuarial context. In this paper we consider mortality rates at a regional level and analyse the variation in those rates. We consider whether variation in mortality rates within a country can be explained using local economic and social variables. Using Northern Ireland data on mortality and measures of deprivation we identify the variables explaining mortality variation. We create a population polarisation variable and find that this variable is significant in explaining some of the variation in mortality rates. Further, we consider whether spatial and non-spatial models have a part to play in explaining mortality differentials.

Review of Marine Spatial Planning Best Practice of Relevance to Ireland

Making room for new marine uses and safeguarding more traditional uses, without degrading the marine environment, will require the adoption of new integrated management strategies. Current management frameworks do not facilitate the integrated management of all marine activities occurring in one area. To address this issue, the government developed Harnessing Our Ocean Wealth – An Integrated Marine Plan (IMP) for Ireland. Harnessing Our Ocean
Wealth presents a ‘roadmap’ for adopting an integrated approach to marine governance and for achieving the Government’s ambitious targets for the maritime sector, including: exceeding €6.4 billion turnover annually by 2020, and doubling its contribution to GDP to 2.4% by 2030. As part of this roadmap, Harnessing Our Ocean Wealth endorses the development of an appropriate Marine Spatial Planning (MSP) Framework. One way to develop an MSP Framework is to learn from early adapters. Critical assessments of key
elements of MSP as implemented in early initiatives can serve to inform the development of an appropriate framework. The aim of this project is to contribute to the development of this framework by reporting on
MSP best practice relevant to Ireland. Case study selection and evaluation criteria are outlined in the next section. This is followed by a presentation of case study findings. The final section of the report focuses on outlining how the lessons could be transferred to the Irish context.

The imprint of the geographical, evolutionary and ecological context on species-area relationships

Species-area relationships (SAR) are fundamental in the understanding of biodiversity patterns and of critical importance for predicting species extinction risk worldwide. Despite the enormous attention given to SAR in the form of many individual analyses, little attempt has been made to synthesize these studies. We conducted a quantitative meta-analysis of 794 SAR, comprising a wide span of organisms, habitats and locations. We identified factors reflecting both pattern-based and dynamic approaches to SAR and tested whether these factors leave significant imprints on the slope and strength of SAR. Our analysis revealed that SAR are significantly affected by variables characterizing the sampling scheme, the spatial scale, and the types of organisms or habitats involved. We found that steeper SAR are generated at lower latitudes and by larger organisms. SAR varied significantly between nested and independent sampling schemes and between major ecosystem types, but not generally between the terrestrial and the aquatic realm. Both the fit and the slope of the SAR were scale-dependent. We conclude that factors dynamically regulating species richness at different spatial scales strongly affect the shape of SAR. We highlight important consequences of this systematic variation in SAR for ecological theory, conservation management and extinction risk predictions.

Spatial Distribution of Soil Geochemistry in Geoforensics

Two common scenarios in Geoforensics (definition in text) are considered: the provenance, or localization of unknown samples and the question of sample variability at scenes of crime/alibi locations. Both have been discussed in forensic and soil science publications, but mostly within a theoretical or non-forensic context. These previous publications provide context for the two case study scenarios (one actual, one based on a range of criminal casework) that consider provenance and variability. A challenging scientific question in geoforensics is the provenance question: ‘where may this sample have come from?’ A question the Tellus data can assist in answering. The question of variation between samples maybe less of a challenge, yet variation between a suspect sample within a scene of crime requires detailed sampling. Variation on a larger (tens to hundreds of kilometres) scale may provide useful intelligence on where a sample came from. To summarise, databases such as Tellus and TellusBorder may be used as effective tools to assist in the search for the origin of displaced soil and sediment