Environmental innovation strategies: When and why NGOs go beyond public regulations

The concept of environmental innovation strategies (EIS) is introduced and discussed. The notion refers to the conduct by which non-governmental organisations (NGOs) act as policy entrepreneurs seeking to address environmental issues by going beyond the provisions of public regulations. Environmental innovation is understood as the product of a process of social interactions between heterogeneous types of actors, including NGOs. Three social mechanisms are introduced in order to capture the conditions enabling and motivating NGOs to pursue EIS, as well as the politics through which EIS are produced. These mechanisms are then discussed in the light of two in-depth case studies in Indonesia and Switzerland. The findings highlight the institutional frustration and mix of concerns that push NGOs to engage in EIS, as well as the non-spontaneous nature of environmental innovations. Innovation represents, in the end, a game of power that should be analysed as such.     

Uncertainty in establishing forest reference levels and predicting future forest-based carbon stocks for REDD+

Forest reference levels (FRLs) provide a benchmark for assessing reduced emissions from deforestation and forest degradation (REDD+), and they are central to demonstrate additionality of REDD+. Attaining realistic FRLs, however, is challenging, especially in complex mosaic landscapes. We established FRLs in northern Laos for different reference periods and tested them against actual carbon stock changes. Annual time series of Landsat satellite images were used to capture the subtle changes in carbon stocks in complex landscapes characterized by shifting cultivation. We found that FRLs differ considerably depending on the reference period chosen. Abrupt land-use changes occurred when hybrid maize replaced traditional shifting cultivation and forests, and this invalidated carbon stock trends that would have been predicted had the FRL been projected into the future. We conclude that demonstrating additionality of REDD+ in fast developing areas is difficult and that payment systems rewarding potential emission reductions against hypothetical extrapolation of FRLs are unlikely to be a cost-effective strategy.     

The recursive model as a new approach to validate and monitor activity sensors

Activity sensors are increasingly being used to monitor animal activity but current methods, used to validate the relationship between the motion sensor information and the actual behavior of animals, have weaknesses. This study aims to improve the methods used to estimate activity level from dual axis activity sensors and to validate the Tellus activity sensor for reindeer (Rangifer tarandus). We developed a new approach, the recursive model (a recursive application of a logistic regression), to predict continuous values of activity without biased estimations or previous modifications of the dataset. We compared this new recursive model approach with two traditional approaches: the tree classification method and the standard model (based on simple logistic regression). Estimations from the tree classification and the standard model were dependent on the dataset used for validation, whereas the recursive model gave unbiased estimations. Estimations from standard and recursive models were also more accurate (lower average absolute errors) than those from the tree classification method and they had a slightly better discriminatory power (higher percentage of good classification). We successfully applied the recursive model for the first time and validated the Tellus activity sensor for reindeer. Any user can apply our methodology to obtain their own equations of the relationship between activity sensor values and the level of activity of the individual, and users monitoring reindeer activity with Tellus activity sensor can directly apply the provided equations under appropriate conditions.     

Identification of Workers at Increased Risk of Infection During a COVID-19 Outbreak in a Meat Processing Plant,France, May 2020

Food and Environmental Virology - On 13 May 2020, a COVID-19 cluster was detected in a French processing plant. Infected workers were described. The associations between the SARS-CoV-2 infection...     

From large-scale to micromachining: A review of force prediction models

In this paper, a review of work performed in the area of force modelling in metal cutting processes is presented. Past and present trends are described and criticised to compare their relevance with current requirements. Several approaches are reviewed, such as empirical, mechanistic and analytical models. The models’ ability to predict forces, from rough machining to finish machining, is analysed.     

Waste management policies for industrial symbiosis development: case studies in European countries

Industrial symbiosis (IS) emerged as a self-organizing business strategy among firms that are willing to cooperate to improve their economic and environmental performance. The adoption of such cooperative strategies relates to increasing costs of waste management, most of which are driven by policy and legislative requirements.Development of IS depends on an enabling context of social, informational, technological, economical and political factors. The power to influence this context varies among the agents involved such as the government, businesses or coordinating entities. Governmental intervention, as manifested through policies, could influence a wider range of factors; and we believe this is an area which is under-researched.This paper aims to critically appraise the waste policy interventions from supra-national to sub-national levels of government. A case study methodology has been applied to four European countries i.e. Denmark, the UK, Portugal and Switzerland, in which IS emerged or is being fostered.The findings suggest that there are commonalities in policy instruments that may have led to an IS enabling context. The paper concludes with lessons learnt and recommendations on shaping the policy context for IS development.