Description: Purpose   In general, pentachloroaniline (PCA) biodechlorination is specific to the conditions of a system; such conditions include the type and concentration of electron donors and oxidizing agents as well as nutrient availability, pH, and temperature. In the bioremediation of contaminated sediments and soil, most researchers have focused on the ability of various electron donors to remove target compounds. However, the amended electron donors and the byproduct of the anoxic/anaerobic systems may cause more environmental impact. Therefore, methods for consistently evaluating the environmental effects of such electron donors and byproducts are highly needed. Accordingly, life cycle assessment (LCA) was carried out to estimate the environmental effect of PCA biodechlorination under acidogenic/methanogenic conditions through laboratory-scale experiments. Four scenarios, intended to assess the influence of electron donors on the environment and develop laboratory experimental research, were compared. In these scenarios, four compounds were used: acetate, lactate, methanol, and glucose + methanol. Materials and methods   The LCA was carried out using IMPACT2002+ to estimate the environmental impact of PCA biodechlorination under acidogenic/methanogenic conditions. To add credibility to the study, sensitivity analysis was also conducted. Results and discussion   In all scenarios, the technologies significantly contributed to respiratory inorganics, global warming, as well as increased the adverse impact of nonrenewable energy on the environment. Specifically, the emissions from the electron donor production processes played an important role in the scenarios. PCA dechlorination and methanogenic processes substantially contributed to the aquatic/terrestrial ecotoxicity and global warming, respectively. Optimizing the concentration of amended electron donors and increasing the population size of dechlorinating microorganisms are highly important in reducing the environmental burden by PCA bioremediation. Conclusions   Results showed that the methanol scenario was the most suitable option determined in this research. In addition, results indicate amended electron donors can cause fewer environmental impacts in carcinogens and noncarcinogens categories. By contrast, the amended electron donors can significantly increase environmental impacts in respiratory inorganics, global warming, and nonrenewable energy categories. Increasing the population size of dechlorinating microorganisms and optimizing the concentration of amended electron donors are highly recommended to reduce adverse environmental impacts. Content Type Journal Article Category LIFE CYCLE MANAGEMENT Pages 1-10 DOI 10.1007/s11367-011-0338-y Authors Jinglan Hong, Shandong Provincial Key Laboratory of Water Pollution Control and Resource Reuse, School of Environmental Science and Engineering, Shandong University, Jinan, 250100 Shandong, People’s Republic of China Xiangzhi Li, Shandong University School of Medicine, Jinan, 250012 Shandong, People’s Republic of China Journal The International Journal of Life Cycle Assessment Online ISSN 1614-7502 Print ISSN 0948-3349

Description:    Before climate change is considered in long-term coastal management, it is necessary to investigate how institutional stakeholders in coastal management conceptualize climate change, as their awareness will ultimately affect their actions. Using questionnaires in eight Baltic Sea riparian countries, this study examines environmental managers’ awareness of climate change. Our results indicate that problems related to global warming are deemed secondary to short-term social and economic issues. Respondents agree that problems caused by global warming will become increasingly important, but pay little attention to adaptation and mitigation strategies. Current environmental problems are expected to continue to be urgent in the future. We conclude that an apparent gap exists between decision making, public concerns, and scientific consensus, resulting in a situation in which the latest evidence rarely influences commonly held opinions. Content Type Journal Article Pages 645-655 DOI 10.1007/s13280-012-0327-9 Authors Joanna Piwowarczyk, Department of Marine Ecology, Institute of Oceanology, Polish Academy of Sciences, 55 Powstancow Warszawy Street, 81-712 Sopot, Poland Anders Hansson, Centre for Climate Science and Policy Research and Water and Environmental Studies, Department of Thematic Studies, Linköping University, Norrköping, Sweden Mattias Hjerpe, Centre for Climate Science and Policy Research and Water and Environmental Studies, Department of Thematic Studies, Linköping University, Norrköping, Sweden Boris Chubarenko, Atlantic Branch of the Institute of Oceanology, Russian Academy of Sciences, Kaliningrad, Russia Konstantin Karmanov, Atlantic Branch of the Institute of Oceanology, Russian Academy of Sciences, Kaliningrad, Russia Journal AMBIO: A Journal of the Human Environment Online ISSN 1654-7209 Print ISSN 0044-7447 Journal Volume Volume 41 Journal Issue Volume 41, Number 6

Description:    Socio-economic and climatic stresses affect local communities’ vulnerability to flooding. Better incorporation of socio-economic stress in local vulnerability assessments is important when planning for climate adaptation. This is rarely done due to insufficient understanding of their interaction, in both theory and practice. The omission leads to critical weaknesses in local adaptation strategies. This study analyses how socio-economic stress interact with climatic stress and shape local vulnerability to flooding, and how such stress can be more efficiently managed within local government organisations. A framework containing potential stresses was developed and applied to investigate how socio-economic stress affected exposure, sensitivity, and adaptive capacity in two case studies, using interview and group exercise transcripts. Cases consisted of major development projects in two Swedish municipalities, Gothenburg and Lilla Edet. The cases were similarly exposed to climatic stress but differed in socio-economic context, and previous professional climate change experience. Fierce foreign competition and market structure were seen as the two most significant socio-economic stresses influencing local vulnerability to flooding through shaping the ‘local’ worldview. In falling order sensitivity, exposure, and adaptive capacity were seen to be influenced by the socio-economic stresses. Two approaches to efficiently incorporate climatic and socio-economic stress in local management are proposed: shifting the focus of vulnerability assessments towards future sensitivity of people and settlements, rather than on the current infrastructure’s sensitivity, would facilitate their use in planning and by ‘mainstreaming’ adaptation into long-term strategic planning vulnerability would be more dynamically addressed and periodically revised. Content Type Journal Article Category Original Article Pages 1-16 DOI 10.1007/s11027-011-9337-3 Authors Mattias Hjerpe, Centre for Climate Science and Policy Research and Water and Environmental Studies - Department for Thematic Studies, Linköping University, Nya Kåkenhus, SE-601 74 Norrköping, Sweden Erik Glaas, Centre for Climate Science and Policy Research and Water and Environmental Studies - Department for Thematic Studies, Linköping University, Nya Kåkenhus, SE-601 74 Norrköping, Sweden Journal Mitigation and Adaptation Strategies for Global Change Online ISSN 1573-1596 Print ISSN 1381-2386

Description:    Drought-induced anomalies in vegetation condition over wide areas can be observed by using time-series satellite remote sensing data. Previous methods to assess the anomalies may include limitations in considering (1) the seasonality in terms of each vegetation-cover type, (2) cumulative damage during the drought event, and (3) the application to various types of land cover. This study proposed an improved methodology to assess drought impact from the annual vegetation responses, and discussed the result in terms of diverse landscape mosaics in the Mt. Kenya region (0.4° N 35.8° E ~ 1.6° S 38.4° E). From the 30-year annual rainfall records at the six meteorological stations in the study area, we identified 2000 as the drought year and 2001, 2004, and 2007 as the normal precipitation years. The time-series profiles of vegetation condition in the drought and normal precipitation years were obtained from the values of Enhanced Vegetation Index (EVI; Huete et al. 2002 ), which were acquired from Terra MODIS remote sensing dataset (MOD13Q1) taken every 16 days at the scale of 250-m spatial resolution. The drought impact was determined by integrating the annual differences in EVI profiles between drought and normal conditions, per pixel based on nearly same day of year. As a result, we successfully described the distribution of landscape vulnerability to drought, considering the seasonality of each vegetation-cover type at every MODIS pixel. This result will contribute to the large-scale landscape management of Mt. Kenya region. Future study should improve this method by considering land-use change occurred during the long-term monitoring period. Content Type Journal Article Pages 1-8 DOI 10.1007/s10661-012-2854-z Authors Youngkeun Song, Graduate School of Global Environmental Studies, Kyoto University, Yoshida-Honmachi, Sakyo-ku, Kyoto, 606-8501 Japan John B. Njoroge, Faculty of Agriculture, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya Yukihiro Morimoto, Faculty of Bioenvironmental Science, Kyoto Gakuen University, Kameoka, Kyoto Prefecture, Japan Journal Environmental Monitoring and Assessment Online ISSN 1573-2959 Print ISSN 0167-6369

Description:    Wetland ecosystems are of global significance having productive, regulatory and informative function. These wetlands are crucial for the long-term protection of water sources, as well as the survival of its unique biodiversity. Most of the wetlands of Turkey are now facing serious threat from the anthropogenic sources and now near to the verge of extinction. This study has been carried out to monitor vegetation dynamics and ecological status of wetlands of Koyna basin at spatial and temporal scale. This study has involved MODerate-resolution Imaging Spectroradiometer (MODIS) images of the year 2000, 2004 and 2008 on daily basis with spatial resolution of 1 km. The MODIS 16 days composite NDVI time series products of 250-m spatial resolution from year 2000 to 2008 has been utilized to monitor the ecological status of the wetlands. The European Nature Information System habitat classification map, meteorological data (precipitation, temperature) coupled with field data has been utilized to validate NDVI values of nine habitats in the wetlands. The time series analyses of NDVI data values have been correlated with the groundwater level depth from 1996 to 2004. The overall analysis has shown a declining trend of NDVI over the year 2000 to 2008, indicated a degraded wetland condition in span of 9 years. Content Type Journal Article Pages 1-12 DOI 10.1007/s10113-011-0241-x Authors Jay Krishna Thakur, Department Hydrogeology and Environmental Geology, Institute of Geosciences, Martin Luther University, Von-Seckendorff-Platz 3, 06120 Halle (Saale), Germany P. K. Srivastava, Department of Civil Engineering, Water and Environment Management Research Center, University of Bristol, Bristol, BS8 1TR United Kingdom S. K. Singh, Centre of Atmospheric and Ocean Science, KBCAOS, IIDS, University of Allahabad, Allahabad, 211002 India Zoltán Vekerdy, Faculty of Geo-information Science and Earth Observation, Twente University, Hengelosestraat 99, 7514 AE Enschede, The Netherlands Journal Regional Environmental Change Online ISSN 1436-378X Print ISSN 1436-3798

Description:    Qingjiang River, the second largest tributary of the Yangtze River in Hubei Province, has taken on the important tasks for power generation and flood control in Hubei Province. The Qingjiang River watershed has a subtropical monsoon climate and, as a result, has dramatic diversity in its water resources. Recently, global warming and climate change have seriously affected the Qingjiang watershed’s integrated water resources management. In this article, general circulation model (GCM) and watershed hydrological models were applied to analyze the impacts of climate change on future runoff of Qingjiang Watershed. To couple the scale difference between GCM and watershed hydrological models, a statistical downscaling method based on the smooth support vector machine was used to downscale the GCM’s large-scale output. With the downscaled precipitation and evaporation, the Xin-anjiang hydrological model and HBV model were applied to predict the future runoff of Qingjiang Watershed under A2 and B2 scenarios. The preformance of the one-way coupling approach in simulating the hydrological impact of climate change in the Qingjiang watershed is evaluated, and the change trend of the future runoff of Qingjiang Watershed under the impacts of climate change is presented and discussed. Content Type Journal Article Category Original paper Pages 1-12 DOI 10.1007/s00477-011-0524-2 Authors Hua Chen, State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan, 430072 China Tiantian Xiang, School of Water Resources and Hydropower Engineering, Wuhan University, Wuhan, 430072 China Xing Zhou, School of Water Resources and Hydropower Engineering, Wuhan University, Wuhan, 430072 China Chong-Yu Xu, State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan, 430072 China Journal Stochastic Environmental Research and Risk Assessment Online ISSN 1436-3259 Print ISSN 1436-3240

Description:    Under increasing water scarcity, collective groundwater management is a global concern. This article presents an interdisciplinary analysis of this challenge drawing on a survey including 50 large and small farms and gardens in a village in an agricultural land reclamation area on the edge of the Western Desert of Egypt. Findings revealed that smallholders rely on a practice of shallow groundwater use, through which drainage water from adjacent irrigation areas is effectively recycled within the surface aquifer. Expanding agroindustrial activities in the surrounding area are socio-economically important, but by mining non-renewable water in the surrounding area, they set in motion a degradation process with social and ecological consequences for all users in the multi-layered aquifer system. Based on the findings of our investigation, we identify opportunities for local authorities to more systematically connect available environmental information sources and common pool resource management precedents, to counterbalance the degradation threat. Content Type Journal Article Category Report Pages 1-14 DOI 10.1007/s13280-012-0255-8 Authors Caroline King, Oxford University Centre for the Environment, University of Oxford, South Parks Road, Oxford, UK Boshra Salem, Department of Environmental Sciences, Faculty of Science, University of Alexandria, Alexandria, Egypt Journal AMBIO: A Journal of the Human Environment Online ISSN 1654-7209 Print ISSN 0044-7447

Description:    In the last decades, due to climate changes, soil deterioration, and Land Use/Land Cover Changes (LULCCs), land degradation risk has become one of the most important ecological issues at the global level. Land degradation involves two interlocking systems: the natural ecosystem and the socio-economic system. The complexity of land degradation processes should be addressed using a multidisciplinary approach. Therefore, the aim of this work is to assess diachronically land degradation dynamics under changing land covers. This paper analyzes LULCCs and the parallel increase in the level of land sensitivity to degradation along the coastal belt of Sardinia (Italy), a typical Mediterranean region where human pressure affects the landscape characteristics through fires, intensive agricultural practices, land abandonment, urban sprawl, and tourism concentration. Results reveal that two factors mainly affect the level of land sensitivity to degradation in the study area: (i) land abandonment and (ii) unsustainable use of rural and peri-urban areas. Taken together, these factors represent the primary cause of the LULCCs observed in coastal Sardinia. By linking the structural features of the Mediterranean landscape with its functional land degradation dynamics over time, these results contribute to orienting policies for sustainable land management in Mediterranean coastal areas. Content Type Journal Article Pages 1-10 DOI 10.1007/s00267-012-9831-8 Authors S. Bajocco, Unit for Climatology and Meteorology in Agriculture (CRA-CMA), Italian National Agricultural Research Council, Via del Caravita 7a, 00186 Rome, RM, Italy A. De Angelis, Unit for Climatology and Meteorology in Agriculture (CRA-CMA), Italian National Agricultural Research Council, Via del Caravita 7a, 00186 Rome, RM, Italy L. Perini, Unit for Climatology and Meteorology in Agriculture (CRA-CMA), Italian National Agricultural Research Council, Via del Caravita 7a, 00186 Rome, RM, Italy A. Ferrara, Department of Crop Science, University of Basilicata, Via dell’Ateneo Lucano, Potenza, PZ, Italy L. Salvati, Centre for Soil-Plant Relationships (CRA-RPS), Italian National Agricultural Research Council, Via della Navicella 2-4, 00184 Rome, RM, Italy Journal Environmental Management Online ISSN 1432-1009 Print ISSN 0364-152X

Description:    A 108-year (1901–2008) downscaling of the twentieth-century reanalysis (20CR) using the Regional Spectral Model (RSM) has been conducted for the southeastern United States (SEUS) at a horizontal grid resolution of 10 km. This 108-year product, named as the Florida Climate Institute-Florida State University Land–Atmosphere Reanalysis for the southeastern United States at 10-km resolution version 1.0 [FLAReS1.0], has primarily been developed for anticipated application studies in hydrology, crop management, ecology, and other interdisciplinary fields in the SEUS. The analysis of this downscaled product reveals that it ameliorates the issue of artificial discontinuity in the precipitation time series of the 20CR from the variations inherent to RSM. This centennial scale product allows us to begin examining decadal scale variations of the regional features of the SEUS. The fidelity of the low-frequency variations of the winter rainfall associated with the Atlantic Multi-decadal Oscillation (AMO) and the Pacific Decadal Oscillation is reasonably well captured in FLAReS1.0. In fact, the modulation of the El Niño-Southern Oscillation (ENSO) teleconnection with the SEUS rainfall by AMO in the downscaled product is also validated with observations. The ENSO-associated variations of accumulated rainfall from landfalling hurricanes in the SEUS are also well simulated in the downscaled climate simulation. It is to be noted that the success of this dynamical downscaling is also because the global reanalysis of 20CR showed comparable fidelity in these low-frequency variations of the SEUS climate. This method of dynamic downscaling global reanalysis with inclusion of spectral nudging at large wavelengths (in this case ≥500 km) toward the driving global reanalysis (20CR) is sometimes referred as a form of regional reanalysis. Content Type Journal Article Category Original Article Pages 1-9 DOI 10.1007/s10113-012-0372-8 Authors V. Misra, Department of Earth, Ocean and Atmospheric Science, Florida State University, P.O. Box 3064520, Tallahassee, FL 32306-4520, USA S. M. DiNapoli, Center for Ocean-Atmospheric Prediction Studies, Florida State University, 2035 E. Paul Dirac Dr., 200 RM Johnson Bldg, Tallahassee, FL 32306-2840, USA S. Bastola, Center for Ocean-Atmospheric Prediction Studies, Florida State University, 2035 E. Paul Dirac Dr., 200 RM Johnson Bldg, Tallahassee, FL 32306-2840, USA Journal Regional Environmental Change Online ISSN 1436-378X Print ISSN 1436-3798

Description: Purpose   Sustainable manufacturing is practiced globally as a comprehensive strategy for improving the sustainability performance of the manufacturing industry. While sustainability is characterized into such three dimensions as economic, environmental, and social, currently, there is no quantitative method yet to measure the so-called “sustainability” in the manufacturing industry. The objective of this research is to develop a comprehensive and effective quantitative method to measure the overall sustainability performance of manufacturing companies. Methods   In this paper, an integrated methodology is presented for the development of composite sustainability indicators based on principal component analysis (PCA). In developing this integrated approach, both industry and academia surveys are conducted to identify what sustainability indicators are favored by the sustainable manufacturing community. A unique index is then generated to measure the overall sustainability performance of industrial practices. The methodology can be used for benchmarking the overall sustainability performance of various manufacturing companies. Results   A case study is conducted on a total of 11 global electronic manufacturing companies. The overall sustainability performance of these companies are measured, benchmarked, and ranked. The results showed that PCA is an effective approach for constructing composite sustainability indicators across environmental, economic, and social dimensions. Conclusions   From this research, it is found that industry and academia have different views on the sustainability measurement, evidenced by different weights put on the same indicator in industry and academia. The case study demonstrated that the methodology presented in this paper is an effective tool for comprehensive measurement of sustainability performance of manufacturing companies. Strengths and weaknesses of each company can be identified. Then, the recommended improvements can be suggested based on the study of each of the individual indicators. Content Type Journal Article Category SUSTAINABLE DEVELOPMENT Pages 1-11 DOI 10.1007/s11367-012-0394-y Authors Tao Li, School of Mechanical Engineering, Dalian University of Technology, No. 2 Linggong Road, Ganjingzi District, Dalian, Liaoning 116023, People’s Republic of China Hongchao Zhang, School of Mechanical Engineering, Dalian University of Technology, No. 2 Linggong Road, Ganjingzi District, Dalian, Liaoning 116023, People’s Republic of China Chris Yuan, Department of Mechanical Engineering, University of Wisconsin, Milwaukee, WI, USA Zhichao Liu, School of Mechanical Engineering, Dalian University of Technology, No. 2 Linggong Road, Ganjingzi District, Dalian, Liaoning 116023, People’s Republic of China Chengcheng Fan, Department of Management Science and Engineering, Stanford University, Stanford, CA, USA Journal The International Journal of Life Cycle Assessment Online ISSN 1614-7502 Print ISSN 0948-3349