Watershed Regressions for Pesticides (warp) Models for Predicting Atrazine Concentrations in Corn Belt Streams1

Stone, Wesley W. and Robert J. Gilliom, 2012. Watershed Regressions for Pesticides (WARP) Models for Predicting Atrazine Concentrations in Corn Belt Streams. Journal of the American Water Resources Association (JAWRA) 48(5): 970‐986. DOI: 10.1111/j.1752‐1688.2012.00661.x Abstract: Watershed Regressions for Pesticides (WARP) models, previously developed for atrazine at the national scale, are improved for application to the United States (U.S.) Corn Belt region by developing region‐specific models that include watershed characteristics that are influential in predicting atrazine concentration statistics within the Corn Belt. WARP models for the Corn Belt (WARP‐CB) were developed for annual maximum moving‐average (14‐, 21‐, 30‐, 60‐, and 90‐day durations) and annual 95th‐percentile atrazine concentrations in streams of the Corn Belt region. The WARP‐CB models accounted for 53 to 62% of the variability in the various concentration statistics among the model‐development sites. Model predictions were within a factor of 5 of the observed concentration statistic for over 90% of the model‐development sites. The WARP‐CB residuals and uncertainty are lower than those of the National WARP model for the same sites. Although atrazine‐use intensity is the most important explanatory variable in the National WARP models, it is not a significant variable in the WARP‐CB models. The WARP‐CB models provide improved predictions for Corn Belt streams draining watersheds with atrazine‐use intensities of 17 kg/km² of watershed area or greater.     

Reconnecting nature,farming and society: environmental cooperatives in the Netherlands as institutional arrangements for creating coherence

An important implication of agricultural modernization has been the break-down of interlinkages between farming, ecology and society. Historically, farming systems evolved from the specific responses of farming communities to local ecological conditions. The totality of regionalized farming systems arising out of this co-production moulded the countryside into an ‘archipelago’ of differentiated ruralities. During the period of agricultural modernization, the nature of co-production changed thoroughly. The natural elements in co-production were increasingly artificialized or replaced by industrial artefacts. This paper analyses the emergence of environmental cooperatives in the Netherlands as a movement towards a renewed embedding of farming in its local environment. Environmental cooperatives are local farmers associations that promote activities related to sustainable agriculture and rural development and claim to be actively involved in effectuating rural policies in their locale. Since the foundation of the first cooperative in 1992, numbers have rapidly grown to over 100. This paper examines the genesis and practices of environmental cooperatives and assesses their socio-economic and ecological impact. The importance lies most of all, so the authors contend, in that they represent valuable ‘field laboratories’ for building stimulating and supportive institutional contexts for remodelling Dutch farming along the lines of environmental and economic sustainability. Copyright © 2001 John Wiley & Sons, Ltd.     

Comparison of Stream Invertebrate Response Models for Bioassessment Metrics1

Waite, Ian R., Jonathan G. Kennen, Jason T. May, Larry R. Brown, Thomas F. Cuffney, Kimberly A. Jones, and James L. Orlando, 2012. Comparison of Stream Invertebrate Response Models for Bioassessment Metrics. Journal of the American Water Resources Association (JAWRA) 48(3): 570-583. DOI: 10.1111/j.1752-1688.2011.00632.x Abstract: We aggregated invertebrate data from various sources to assemble data for modeling in two ecoregions in Oregon and one in California. Our goal was to compare the performance of models developed using multiple linear regression (MLR) techniques with models developed using three relatively new techniques: classification and regression trees (CART), random forest (RF), and boosted regression trees (BRT). We used tolerance of taxa based on richness (RICHTOL) and ratio of observed to expected taxa (O/E) as response variables and land use/land cover as explanatory variables. Responses were generally linear; therefore, there was little improvement to the MLR models when compared to models using CART and RF. In general, the four modeling techniques (MLR, CART, RF, and BRT) consistently selected the same primary explanatory variables for each region. However, results from the BRT models showed significant improvement over the MLR models for each region; increases in R² from 0.09 to 0.20. The O/E metric that was derived from models specifically calibrated for Oregon consistently had lower R² values than RICHTOL for the two regions tested. Modeled O/E R² values were between 0.06 and 0.10 lower for each of the four modeling methods applied in the Willamette Valley and were between 0.19 and 0.36 points lower for the Blue Mountains. As a result, BRT models may indeed represent a good alternative to MLR for modeling species distribution relative to environmental variables.     

牙哈凝析气田大气环境影响回顾评价

为更好地了解牙哈凝析气田开发建设对大气环境质量的影响,根据牙哈凝析气田6年的大气环境监测资料,采用spearman秩相关系数法对牙哈凝析气田开发10年来的环境空气质量进行回顾评价及变化趋势分析。结果表明:牙哈凝析气田大气中主要污染物SO2、NMHC(非甲烷总烃)均总体呈下降趋势,NO2呈上升趋势,而在2008年急剧下降,整体大气环境质量呈现好转趋势。牙哈凝析气田开发区块环境空气质量有了明显的改善,各项大气环境治理措施取得了显著的环境效益。     

海洋环境立体监测技术

为了保护和合理利用海洋,必须对海洋环境进行长期连续、多要素、多维空间的立体监控。海洋环境立体监测系统技术摒弃了传统将水样带回实验室预处理、存放再进行后期分析的低效方法,极大地提高了数据的采集效率,减轻了海洋监测工作者的劳动强度,节省了人力、物力和财力。本文介绍了海洋环境立体监测技术中的系统集成及数据分析平台等。     

浅析物联网在环保产业中的应用

随着国际经济的迅速发展,物联网技术的发展呈现出不可阻挡的势头。本文阐述了物联网的概念和发展趋势,并从环保产业领域切入,探讨了物联网技术在环保产业领域的应用意义,通过物联网技术在环保产业中的应用案例,指出物联网技术在环保产业上的应用与发展是必然趋势。     

Local governance of energy transition: sustainability,transactions and social ties. A case study in Northeast France

This paper tackles the process of energy transition from a transactional perspective. It addresses the governance of energy transition by studying its local actualizations, moving beyond purely technical and normative readings. The paper shows that through the local socio-technological energy systems, sustainability governance filters down to the level of individual, everyday behavior, thus questioning the link between public and private spaces, especially regarding the issue of housing. Going beyond the results commonly yielded by transition studies, which favor large-scale analysis, it details how the discourse of citizen involvement, which often boils down to a mere call to control one’s individual energy consumption, conceals environmental inequalities, confirming the socioeconomic divide materialized in deprived areas such as public housing estates or remote rural areas. From a methodological standpoint, the analysis is based on four case studies in Northeast France, in more or less privileged areas, and in both urban and rural environments: the renovation of a heating network in the public housing estate of Cité de l’Ill, north of Strasbourg; the solar energy systems designed for property owners in Plobsheim, a residential suburb of Strasbourg; the energy-efficient equipment set up in a public housing estate in the city of Saint-Dié, in the Vosges; and citizen participation in a cooperative program to finance wind turbines in the small Alsacian city of Saâles, in a mountain rural area. The paper draws on the results of these sociological investigations, carried out using field observations, questionnaires and interviews.     

Perceived importance of sustainability dimensions in the Portuguese metal industry

The growing interest of stakeholders regarding the contribution of organizations to Sustainable Development is influencing organizational behavior and strategic planning. The purpose of the present paper is to analyze the perception of the importance of organizational sustainability dimensions in a relevant economic sector: the metal industry. Survey data was collected from a sample of 211 Portuguese industries, and non-parametric statistical tests were used to validate five research hypotheses regarding the importance of the economic, environmental, social and cultural dimensions of sustainability. The results obtained demonstrate awareness of the sampled industries regarding all sustainability dimensions, recognizing that their importance has been increasing over the years, and prospecting that this importance will continue to increase in the future. The industries in this sample revealed different degrees of perceived importance for the different sustainability dimensions: the highest importance was given to the economic dimension, and culture was considered the least important sustainability dimension. However, the perception of the respondents is that these differences will be less relevant in the future. The results also show that companies with certified management systems reveal a higher perceived importance regarding sustainability dimensions. Also, industries with higher values of annual turnover, number of employees and export sales tend to give higher degrees of importance to sustainability dimensions. Considering the economic, environmental and social impacts of metal industries at an international level, the awareness of this industrial sector regarding the importance of sustainability is a relevant step to the commitment towards Sustainable Development.     

Investigating cumulative effects across ecological scales

Species, habitats, and ecosystems are increasingly exposed to multiple anthropogenic stressors, fueling a rapidly expanding research program to understand the cumulative impacts of these environmental modifications. Since the 1970s, a growing set of methods has been developed through two parallel, sometimes connected, streams of research within the applied and academic realms to assess cumulative effects. Past reviews of cumulative effects assessment (CEA) methods focused on approaches used by practitioners. Academic research has developed several distinct and novel approaches to conducting CEA. Understanding the suite of methods that exist will help practitioners and academics better address various ecological foci (physiological responses, population impacts, ecosystem impacts) and ecological complexities (synergistic effects, impacts across space and time). We reviewed 6 categories of methods (experimental, meta-analysis, single-species modeling, mapping, qualitative modeling, and multispecies modeling) and examined the ability of those methods to address different levels of complexity. We focused on research gaps and emerging priorities. We found that no single method assessed impacts across the 4 ecological foci and 6 ecological complexities considered. We propose that methods can be used in combination to improve understanding such that multimodel inference can provide a suite of comparable outputs, mapping methods can help prioritize localized models or experimental gaps, and future experiments can be paired from the outset with models they will inform.     

Population viability and harvest sustainability for Madagascar lemurs

Subsistence hunting presents a conservation challenge by which biodiversity preservation must be balanced with safeguarding of human livelihoods. Globally, subsistence hunting threatens primate populations, including Madagascar's endemic lemurs. We used population viability analysis to assess the sustainability of lemur hunting in Makira Natural Park, Madagascar. We identified trends in seasonal hunting of 11 Makira lemur species from household interview data, estimated local lemur densities in populations adjacent to focal villages via transect surveys, and quantified extinction vulnerability for these populations based on species-specific demographic parameters and empirically derived hunting rates. We compared stage-based Lefkovitch with periodic Leslie matrices to evaluate the impact of regional dispersal on persistence trajectories and explored the consequences of perturbations to the timing of peak hunting relative to the lemur birth pulse, under assumptions of density-dependent reproductive compensation. Lemur hunting peaked during the fruit-abundant wet season (March–June). Estimated local lemur densities were roughly inverse to body size across our study area. Life-history modeling indicated that hunting most severely threatened the species with the largest bodies (i.e., Hapalemur occidentalis, Avahi laniger, Daubentonia madagascariensis, and Indri indi), characterized by late-age reproductive onsets and long interbirth intervals. In model simulations, lemur dispersal within a regional metapopulation buffered extinction threats when a majority of local sites supported growth rates above the replacement level but drove regional extirpations when most local sites were overharvested. Hunt simulations were most detrimental when timed to overlap lemur births (a reality for D. madagascariensis and I. indri). In sum, Makira lemurs were overharvested. Regional extirpations, which may contribute to broad-scale extinctions, will be likely if current hunting rates persist. Cessation of anthropogenic lemur harvest is a conservation priority, and development programs are needed to help communities switch from wildlife consumption to domestic protein alternatives.