Integration of Life Cycle Assessment Into Agent-Based Modeling

A method is presented that allows for a life cycle assessment (LCA) to provide environmental information on an energy infrastructure system while it evolves. Energy conversion facilities are represented in an agent-based model (ABM) as distinct instances of technologies with owners capable of making decisions based on economic and environmental information. This simulation setup allows us to explore the dynamics of assembly, disassembly, and use of these systems, which typically span decades, and to analyze the effect of using LCA information in decision making.
We were able to integrate a simplified LCA into an ABM by aligning and connecting the data structures that represent the energy infrastructure and the supply chains from source to sink. By using an appropriate database containing life cycle inventory (LCI) information and by solving the scaling factors for the technology matrix, we computed the contribution to global warming in terms of carbon dioxide (CO₂) equivalents in the form of a single impact indicator for each instance of technology at each discrete simulation step. These LCAs may then serve to show each agent the impact of its activities at a global level, as indicated by its contribution to climate change. Similar to economic indicators, the LCA indicators may be fed back to the simulated decision making in the ABM to emulate the use of environmental information while the system evolves. A proof of concept was developed that is illustrated for a simplified LCA and ABM used to generate and simulate the evolution of a bioelectricity infrastructure system.     

Nr5a1-Cre-mediated Tspo conditional knockout mice with low growth rate and prediabetes symptoms – A mouse model of stress diabetes

Translocator protein (TSPO) is a high-affinity cholesterol- and drug-binding mitochondrial protein. Nuclear receptor subfamily 5 group A member 1 or steroidogenic factor 1 (Nr5a1)-Cre mice were previously used to generate steroidogenic cell-specific Tspo gene conditional knockout (cKO) mice. TSPO-depleted homozygotes showed no response to adrenocorticotropic hormone (ACTH) in stimulating adrenal cortex corticosterone production but showed increased epinephrine synthesis in the medulla. No other phenotype was observed under normal growth conditions. During these studies, we noted that pairing two cKO mice resulted in the generation of small pups. These pups showed low growth rate at weaning, which has been linked to the development of type 2 diabetes (T2D) in adulthood. Experimental verification of T2D symptoms via blood testing of the adult mice, including glycated hemoglobin and insulin C-peptide measurements, showed that these Tspo cKO mice exhibited sustained hyperglycemia, a sign of prediabetes, likely due to the augmentation of hepatic glucose production mediated by the increased epinephrine. We also observed increased expression of the S100a8 gene, which is upregulated after chronic glucose stimulation. Taken together, the observed prediabetes phenotype and lack of response to ACTH indicate that Tspo cKO mice (Nr5a1-Cre^+/?, Tspo^fl/fl) could provide a useful model to study the link between diabetes and stress.     

Influence of plant structural complexity on the foraging success of Trichogramma minutum: a comparison of search on artificial and foliage models

The influence of structural complexity on the foraging success for host eggs (Ephestia kuehniella Zeller) by Trichogramma minutum Riley was investigated in the laboratory. Naive females were released into arenas with structurally different paper models or foliage (simple: trembling aspen Populus tremuloides Michx., complex: balsam fir Abies balsamea L.). Observations of individual females were made every 15 min and searching success was measured by the number of host egg clusters found and the amount of time taken to find them, within a period of 196 min. Females found significantly more egg clusters and were quicker at finding them on the sample paper and foliage surfaces than on the most complex paper or foliage surfaces. Older females (2–3 days) were more successful and searched quicker than younger (<24 h) females on all paper surfaces. The timed observations suggested that wasps which spent more time walking had a significantly decreased probability of finding an egg mass and were significantly slower at finding them. Females that spent more time on paper surfaces had an increased probability of finding an egg mass. The significance of searching differences is discussed in relation to the potential effects of plant surfaces on Trichogramma movements and to the physiological readiness of the wasp.     

Coping with Complexity and Organizational Interests in Natural Resource Management

To cope with the daunting challenges posed by system complexity while maximizing their organizational interests, resource management institutions must implement strategies aimed at reducing some of the particular dimensions of complexity. Virtually all of the recent initiatives to improve resource management—ecosystem management, adaptive management, stakeholder negotiation, disturbance prevention, multiple mandates for resource management agencies, resource homogenization, restoration ecology, the creation of protected areas, the restoration of local-user rights, and algorithmic resource exploitation rules—are vulnerable to inappropriate interest-driven simplifications, many of which result from patterns of perverse learning. A research agenda designed to identify better means of coping with complexity and the effects of organizational interests could help to improve resource and environmental management. Received 4 October 2000; accepted 15 June 2001.