Bayesian material flow analysis for systems with multiple levels of disaggregation and high dimensional data.

Material flow analysis (MFA) is used to quantify and understand the life cycles of materials from production to end of use, which enables environmental, social, and economic impacts and interventions. MFA is challenging as available data are often limited and uncertain, leading to an under-determined system with an infinite number of possible stocks and flows values. Bayesian statistics is an effective way to address these challenges by principally incorporating domain knowledge, quantifying uncertainty in the data, and providing probabilities associated with model solutions.

Ethnobotanical survey of medicinal and ritual plants utilized by the indigenous communities of Benguet province, Philippines.

Background: The Sto. Niño site in Benguet province, Philippines was once a mining area that has now been transformed into an agricultural land. In this area, there has been significant integration of the three indigenous people (IPs) Ibaloi, Kankanaeys and Kalanguyas with the Ilocano community.

Resource requirements for ecosystem conservation: A combined industrial and natural ecology approach to quantifying natural capital use in nature.

Socioeconomic demand for natural capital is causing catastrophic losses of biodiversity and ecosystem functionality, most notably in regions where socioeconomic-and eco-systems compete for natural capital, e.g., energy (animal or plant matter).

The formation of the ocean's anthropogenic carbon reservoir.

The shallow overturning circulation of the oceans transports heat from the tropics to the mid-latitudes. This overturning also influences the uptake and storage of anthropogenic carbon (C). We demonstrate this by quantifying the relative importance of ocean thermodynamics, circulation and biogeochemistry in a global biochemistry and circulation model.

Towards measuring particle-associated fecal indicator bacteria in tropical streams.

A protocol to enumerate particle-associated microbial indicator bacteria (heterotrophic plate count [HPC], enterococci [ENT] and Clostridium perfringens [CP]) by membrane filtration in a tropical stream is proposed that relies on high-speed homogenization and chemical treatment. Application of this protocol to stream samples suggest that ENT measurements are more biased by the presence of aggregates than HPC or CP. Whole sample treatment typically increased the colony forming units (CFU) count by 9-52%.