Domesticated Landscapes: The Subsistence Ecology of Plant and Animal Domestication

Harvesting different species as foods or raw materials calls for differing skills depending on the species being harvested and the circumstances under which they are being taken. In some situations and for some species, the tactics used are mainly behavioral—that is, people adjust, or adapt, their own actions to fit the behavior and circumstances of the species they are taking. Under other circumstances and for other species, the skills and tactics used may call for greater environmental preparation or manipulation. Therefore, instead of trying to distinguish people today and in the past as either foragers or farmers, it makes sense to define human subsistence behavior as an interactive matrix of species and harvesting tactics, that is, as a provisions spreadsheet.     

Ecological Functions and Functionings: Towards a Senian Analysis of Ecosystem Services

Ecosystem services are part of a growing trend within environment and development to analyse environmental change within the context of socially valued outcomes. Yet, ecosystem services‐based policies and analyses are increasingly criticized for failing to connect with, or even for restricting, development outcomes. This article seeks to connect environmental analysis with development outcomes better by applying the capability approach of Amartya Sen and others. It demonstrates how scientific analysis of ecosystem services sometimes conflates pathways of ecosystem management with development outcomes, but that it can be reconfigured to include more diverse values and objectives. The article argues that ecosystem services should be identified more as ‘functionings’ (in the Senian sense of valued development outcomes) rather than ‘functions’ (in the sense of biophysical, apolitical ecosystem properties) in order to indicate that ‘services’ always reflect social values, and that values and scientific explanations of underlying biophysical properties evolve together. Environmental science for socially valued outcomes such as ecosystem services is therefore an important site of political inclusion and exclusion. The article illustrates this analysis with examples of ecosystem‐based adaptation to climate change from the World Bank and government of Bangladesh, and in contrast to differing approaches from the field of sustainability science.     

Analyzing the Relationship Between Smoking and Coronary Heart Disease at the Small Area Level: A Bayesian Approach to Spatial Modeling

We model the relationship between coronary heart disease and smoking prevalence and deprivation at the small area level using the Poisson log-linear model with and without random effects. Extra-Poisson variability (overdispersion) is handled through the addition of spatially structured and unstructured random effects in a Bayesian framework. In addition, four different measures of smoking prevalence are assessed because the smoking data are obtained from a survey that resulted in quite large differences in the size of the sample across the census tracts. Two of the methods use Bayes adjustments of standardized smoking ratios (local and global adjustments), and one uses a nonparametric spatial averaging technique. A preferred model is identified based on the deviance information criterion. Both smoking and deprivation are found to be statistically significant risk factors, but the effect of the smoking variable is reduced once the confounding effects of deprivation are taken into account. Maps of the spatial variability in relative risk, and the importance of the underlying covariates and random effects terms, are produced. We also identify areas with excess relative risk.