Nutrient criteria for lakes,ponds, and reservoirs: A Bayesian TREED model approach

We develop regional-scale eutrophication models for lakes, ponds, and reservoirs to investigate the link between nutrients and chlorophyll-a. The Bayesian TREED (BTREED) model approach allows association of multiple environmental stressors with biological responses, and quantification of uncertainty sources in the empirical water quality model. Nutrient data for lakes, ponds, and reservoirs across the United States were obtained from the Environmental Protection Agency (EPA) National Nutrient Criteria Database. The nutrient data consist of measurements for both stressor variables (such as total nitrogen and total phosphorus), and response variables (such as chlorophyll-a), used in the BTREED model. Markov chain Monte Carlo (McMC) posterior exploration guides a stochastic search through a rich suite of candidate trees toward models that better fit the data. The Bayes factor provides a goodness of fit criterion for comparison of resultant models. We randomly split the data into training and test sets; the training data were used in model estimation, and the test data were used to evaluate out-of-sample predictive performance of the model. An average relative efficiency of 1.02 between the training and test data for the four highest log-likelihood models suggests good out-of-sample predictive performance. Reduced model uncertainty relative to over-parameterized alternative models makes the BTREED models useful for nutrient criteria development, providing the link between nutrient stressors and meaningful eutrophication response.     

A foundation for developing a methodology for social network sampling

Researchers are increasingly turning to network theory to understand the social nature of animal populations. We present a computational framework that is the first step in a series of works that will allow us to develop a quantitative methodology of social network sampling to aid ecologists in their social network data collection. To develop our methodology, we need to be able to generate networks from which to sample. Ideally, we need to perform a systematic study of sampling protocols on different known network structures, as network structure might affect the robustness of any particular sampling methodology. Thus, we present a computational tool for generating network structures that have user-defined distributions for network properties and for key measures of interest to ecologists. The user defines the values of these measures and the tool will generate appropriate network randomizations with those properties. This tool will be used as a framework for developing a sampling methodology, although we do not present a full methodology here. We describe the method used by the tool, demonstrate its effectiveness, and discuss how the tool can now be utilized. We provide a proof-of-concept example (using the assortativity measure) of how such networks can be used, along with a simulated egocentric sampling regime, to test the level of equivalence of the sampled network to the actual network. This contribution is part of the special issue “Social Networks: new perspectives” (Guest Editors: J. Krause, D. Lusseau and R. James).     

Can irrational behaviour maximise fitness?

Behavioural models for both humans and other animals often assume economic rationality on the part of decision makers. Economic rationality supposes that outcomes can be assigned objective values within a stable valuation framework and that choices are made to maximise a decision maker’s expected payoff. Yet, both human and animal behaviour is often not economically rational. Here, we compare economically rational making strategies with a strategy (trade-off contrasts) that has been proposed to account for decision-making behaviour in humans that departs of axiomatic rationality. We model the fitness of these strategies in a simple environment where choices are made on repeated occasions, there is stochastic fluctuation in the choices available at any given time, and uncertainty about what choices will be available in the future. Our results show that, for at least some of the model parameter space, non-rational decision strategies achieve higher fitness than economically rational strategies. The differences were comparable in magnitude to selection differentials observed in nature.     

Ethics and fundamental principles of risk acceptance criteria

Ethics are concerned with distinguishing between what actions are “right” and “wrong” and what values are “good” and “bad”, etc. and there is a long academic tradition in discussing ethics and ethical theories. Risk acceptance criteria, on the other hand, distinguish between levels of risks that are acceptable and levels that are intolerable. In some sense, one may say that risk acceptance criteria distinguishes between “good” and “bad” systems and activities with regards to the risk they expose the society or elements of a society to and there is thus an obvious link between ethics and risk acceptance criteria or to risk management at large. However, there are few references in the literature that explores this link, and in this paper, the ethical foundation of fundamental principles of risk acceptance criteria will be elaborated upon.This paper considers some important principles for establishing risk acceptance criteria for safety critical systems and activities. The various principles and the philosophies behind them might at first sight seem contradictory and exclusive, but it is demonstrated how they may coexist in one and the same regulatory regime; They may complement each other in order to achieve the overall safety objectives of society. Then, some brief considerations of the ethical foundations for the principles will be given and some relevant examples of actual risk acceptance criteria will be given from the maritime industries. However, it is believed that the principles and discussions are of general interest and apply to all areas of technical risk and to safety regulations in a broader perspective.     

Integrated assessment of agricultural policies with dynamic land use change modelling

With about half of its territory being farmed, agriculture is the main land use in the European Union (EU). As over 10% of the total EU manufacturing output comes from the agri-food sector, it also is an economic factor of great importance. Moreover, EU policy in this sector has far-reaching consequences ranging from the EU's status as a global trade partner to landscape preservation and development. The LUMOCAP Policy Support System is targeted towards policy makers in the European Commission (EC) and its Member States (MS) and aims to provide support in the field of sustainable agricultural and rural development. To this end it incorporates an integrated model with socio-economic and bio-physical processes, operating at different spatial scales. For supporting integrated assessment, a large number of policy levers is included as inputs for these models and outputs are transformed into policy-relevant social, economic and environmental indicators. The whole system is framed in a flexible, modular and easy to use software package that is useable for process experts and policy-analysts alike.This paper describes the integrated model, the individual models and a first calibration of the system. It demonstrates the system's behaviour for typical scenario runs and concludes with a reflection on the current status of the system and some recommendations for further development.     

试述《野生动物保护法》的修改

《野生动物保护法》施行三十余年,对于促进野生动物保护起着至关重要的作用.然而,在新冠肺炎疫情的冲击下,其中的部分内容显露出不足,全国人大常委会出台的《决定》可以应一时之急,但最根本的办法是对《野生动物保护法》进行修改.通过对现行法律的考察,检视《野生动物保护法》在立法理念、监管职能以及法律责任等方面存在的问题,并提出相...     

A decision tree for Coastal Management permit guidelines

The Louisiana Coastal Management Division (CMD) uses over 90 guidelines for permitting construction activities in the coastal zone. The use of the guidelines by, the CMD staff is not always systematically applied to permit applications. A set of guideline decision trees was, therefore, developed for the permit review process using a structural modeling technique. A decision tree provides the framework for optimizing the decision process. The order in which decisions are made contributes to the efficiency and uniformity of the process. The result provides a more timely and consistent review of most permit applications regarding mining, hazardous wastes, levees, and zoning.     

Shellfish Conflict in Baynes Sound: A Strategic Perspective

The shellfish aquaculture industry (SAI) has operated in Baynes Sound, British Columbia (BC) since the early 1900s. Recognizing the economic potential of the area, the industry has requested additional farming opportunities. However, Baynes Sound upland residents and many other stakeholders have expressed concerns that SAI activities are having a negative impact on the environment, quality of life, and other nonaquaculture resource uses in the area. In order to address these issues, the Action Plan was initiated by a BC government interagency project team in November 2001. To assist in assessing the strategic aspects of this conflict, the decision support system GMCR II is employed here to apply a new methodology, the graph model for conflict resolution, to systematically analyze the ongoing conflict over shellfish aquaculture development in Baynes Sound within a social, economic, and environmental framework. Valuable insights are procured to guide decision-makers toward sustainability of the shellfish industry.     

煤矿安全评价智能决策支持系统(MSAIDSS)的研究

随着安全科学及计算机技术的发展，基于计算机技术的智能决策支持系统（ＩＤＳＳ）就能应用到安全科学的研究之中。本文针对煤矿安全的特点，探讨了煤矿安全评价智能决策支持系统（ＭＳＡＩＤＳＳ）的构成及其运行图，将为实现煤矿安全管理现代化和决策科学化打下基础。