Description:    This review focuses on biological profiles of contemporary acaricides, acaricide resistance, and other up-to-date issues related to acaricide use in management of plant-feeding mites. Over the last two decades a considerable number of synthetic acaricides emerged on the global market, most of which exert their effects acting on respiration targets. Among them, the most important are inhibitors of mitochondrial electron transport at complex I (METI-acaricides). Discovery of tetronic acid derivatives (spirodiclofen and spiromesifen) introduced a completely new mode of action: lipid synthesis inhibition. Acaricide resistance in spider mites has become a global phenomenon. The resistance is predominantly caused by a less sensitive target site (target site resistance) and enhanced detoxification (metabolic resistance). The major emphasis in current research on acaricide resistance mechanisms deals with elucidation of their molecular basis. Point mutations resulting in structural changes of target site and leading to its reduced sensitivity, have recently been associated with resistance in Tetranychus urticae Koch and other spider mites. The only sustainable, long-term perspective for acaricide use is their implementation in multitactic integrated pest management programs, in which acaricides are applied highly rationally and in interaction with other control tactics. Considering that the key recommendation for effective acaricide resistance management is reduction of the selection for resistance by alternations, sequences, rotations, and mixtures of compounds with different modes of action, the main challenge that acaricide use is facing is the need for new active substances with novel target sites. Besides implementation of advanced technologies for screening and design of new synthetic compounds, wider use of microbial and plant products with acaricidal activity could also contribute increased biochemical diversity of acaricides. Content Type Journal Article Category Original Paper Pages 1-14 DOI 10.1007/s10340-012-0442-1 Authors Dejan Marcic, Department of Applied Entomology and Zoology, Institute of Pesticides and Environmental Protection, Banatska 31B, P.O. Box 163, 11080 Belgrade-Zemun, Serbia Journal Journal of Pest Science Online ISSN 1612-4766 Print ISSN 1612-4758

Description:    Gross primary productivity (GPP) is a major component of carbon exchange between the atmosphere and terrestrial ecosystems and a key component of the terrestrial carbon cycle. Because of the large spatial heterogeneity and temporal dynamics of ecosystems, it is a challenge to estimate GPP accurately at global or regional scales. The 8-day MODerate resolution Imaging Spectroradiometer (MODIS) GPP product provides a near real time estimate of global GPP. However, previous studies indicated that MODIS GPP has large uncertainties, partly caused by biases in parameterization and forcing data. In this study, MODIS GPP was validated using GPP derived from the eddy covariance flux measurements at five typical forest sites in East Asia. The validation indicated that MODIS GPP was seriously underestimated in these forest ecosystems of East Asia, especially at northern sites. With observed meteorological data, fraction of photosynthetically active radiation absorbed by the plant canopy (fPAR) calculated using smoothed MODIS leaf area index, and optimized maximum light use efficiency ( ε max ) to force the MOD17 algorithm, the agreement between predicted GPP and tower-based GPP was significantly improved. The errors of MODIS GPP in these forest ecosystems of East Asia were mainly caused by uncertainties in ε max , followed by those in fPAR and meteorological data. The separation of canopy into sunlit and shaded leaves, for which GPP is individually calculated, can improve GPP simulation significantly. Content Type Journal Article Category Special Feature: Original Article Pages 1-10 DOI 10.1007/s10310-012-0369-7 Authors Mingzhu He, Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, International Institute for Earth System Science, Nanjing University, 901 Mengminwei Building, 22 Hankou Road, Nanjing, 210093 China Yanlian Zhou, School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing, 210093 China Weimin Ju, Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, International Institute for Earth System Science, Nanjing University, 901 Mengminwei Building, 22 Hankou Road, Nanjing, 210093 China Jingming Chen, Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, International Institute for Earth System Science, Nanjing University, 901 Mengminwei Building, 22 Hankou Road, Nanjing, 210093 China Li Zhang, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101 China Shaoqiang Wang, Qianyanzhou Ecological Experimental Station, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101 China Nobuko Saigusa, Center for Global Environmental Research, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, 305-8506 Japan Ryuichi Hirata, Center for Global Environmental Research, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, 305-8506 Japan Shohei Murayama, Research Institute for Environmental Management Technology, National Institute of Advanced Industrial Science and Technology (AIST), AIST Tsukuba West, 16-1 Onogawa, Tsukuba, 305-8569 Japan Yibo Liu, Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, International Institute for Earth System Science, Nanjing University, 901 Mengminwei Building, 22 Hankou Road, Nanjing, 210093 China Journal Journal of Forest Research Online ISSN 1610-7403 Print ISSN 1341-6979

Description:    Agroforestry systems are widely practiced in tropical forests to recover degraded and deforested areas and also to balance the global carbon budget. However, our understanding of difference in soil respiration rates between agroforestry and natural forest systems is very limited. This study compared the seasonal variations in soil respiration rates in relation to fine root biomass, microbial biomass, and soil organic carbon between a secondary forest and two agroforestry systems dominated by Gmelina arborea and Dipterocarps in the Philippines during the dry and the wet seasons. The secondary forest had significantly higher ( p  〈 0.05) soil respiration rate, fine root biomass and soil organic matter than the agroforestry systems in the dry season. However, in the wet season, soil respiration and soil organic matter in the G. arborea dominated agroforestry system were as high as in the secondary forest. Whereas soil respiration was generally higher in the wet than in the dry season, there were no differences in fine root biomass, microbial biomass and soil organic matter between the two seasons. Soil respiration rate correlated positively and significantly with fine root biomass, microbial biomass, and soil organic C in all three sites. The results of this study indicate, to some degree, that different land use management practices have different effects on fine root biomass, microbial biomass and soil organic C which may affect soil respiration as well. Therefore, when introducing agroforestry system, a proper choice of species and management techniques which are similar to natural forest is recommended. Content Type Journal Article Pages 1-9 DOI 10.1007/s10457-012-9530-8 Authors Kikang Bae, Department of Forest and Natural Resources Management, SUNY College of Environmental Science and Forestry, Syracuse, NY 13210, USA Don Koo Lee, Department of Forest Science, Seoul National University, Seoul, 151-742 Korea Timothy J. Fahey, Department of Natural Resources, Cornell University, Ithaca, NY 14853, USA Soo Young Woo, Department of Environmental Horticulture, University of Seoul, Seoul, 130-743 Republic of Korea Amos K. Quaye, Department of Forest and Natural Resources Management, SUNY College of Environmental Science and Forestry, Syracuse, NY 13210, USA Yong-Kwon Lee, Korea Forest Service, Government Complex-Daejeon, Bldg 1, 189 Cheongsa-ro, Seo-gu, Daejeon, 302-701 Republic of Korea Journal Agroforestry Systems Online ISSN 1572-9680 Print ISSN 0167-4366

Description:    To quantitatively assess the effects of agricultural practices on methane (CH 4 ) emissions from rice fields, a two-year (2005/2006) field experiment with 2 3 factorial designs was conducted to assess the effects of three driving factors on CH 4 emissions in South China: continuously flooded (W0) and mid-season and final drainages (W2), straw (S1) and nitrogen fertilizer (N1) applications and their controls (S0, N0). Results showed that averaged across all the treatments about 75 % of the seasonal total CH 4 occurred between the rice transplanting and booting stage, while constituted only 33 % of the seasonal total rice biomass during the same period. Averaged across the treatments in 2006, CH 4 emissions were substantially decreased by mid-season drainage up to 60 % (15.6 vs. 39.0 g m −2 ). The decreased CH 4 emissions represented almost all of the decrease in the total global warming potentials. Without straw incorporation CH 4 emissions substantially decreased up to 59 % (15.9 vs. 38.7 g m −2 ). The stimulating effects of straw were significantly greater for W0 than W2 treatment, being also greater in the 2005 than in the 2006 season. A significant inter-annual difference in CH 4 emissions was found when averaged across straw incorporation and N fertilizer applications for the W2 treatment (42.8 and 15.4 g m −2 in 2005 and 2006, respectively). Moreover, N fertilization has no significant effect on CH 4 emissions in this study. Our results demonstrate that although straw effects varied greatly with specific management, both straw managements and water regimes are equally important driving factors and thus being the most promising measures attenuating CH 4 emissions while achieving sustainable rice production. Content Type Journal Article Category Original Article Pages 1-10 DOI 10.1007/s10705-012-9503-3 Authors Jinyang Wang, Jiangsu Key Laboratory of Low Carbon Agriculture and GHGs Mitigation, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, 210095 China Xiaolin Zhang, Jiangsu Key Laboratory of Low Carbon Agriculture and GHGs Mitigation, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, 210095 China Zhengqin Xiong, Jiangsu Key Laboratory of Low Carbon Agriculture and GHGs Mitigation, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, 210095 China M. A. K. Khalil, Department of Physics, Portland State University, P.O. Box 751, Portland, OR 97207, USA Xu Zhao, State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, 210008 China Yingxin Xie, National Engineering Research Center for Wheat, Henan Agricultural University, Zhengzhou, 450002 China Guangxi Xing, State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, 210008 China Journal Nutrient Cycling in Agroecosystems Online ISSN 1573-0867 Print ISSN 1385-1314

Description:    Participatory research methods have helped scientists to understand how farmers experiment and to seek partnerships with farmers in developing technologies with enhanced relevance and adoption. This paper reports on the development of a participatory methodology to systematize long-term experimentation with agroforestry systems carried out in a hotspot of biodiversity by non-governmental organizations and local farmers. A methodological guide for systematization and techniques used for Participatory Rural Appraisal formed the basis of our work. We propose an analytical framework that recognizes systems of reflexive and learning interactions, in order to make the learned lessons explicit. At the process level, the main lessons and recommendations are as follows. It is important to establish partnerships to conduct innovative and complex experimentation with agroforest. Participatory systematization allows us to improve the methodological aspects of design, implementation and management of on-farm participatory experimentation. It also serves to synthesize the main findings and to extract lessons from agroforestry systems experiments. It fosters the technical improvement of agroforestry systems. It creates possibilities for reflection on agroforestry systems by farmers, extensionists and researchers, as well as their learning with respect to management of such systems. The findings are placed in the context of current theory on participatory experimentation in agriculture. Extractive and interactive approaches help to produce rich insights of mutual interest through collaboration by identifying local, regional and global convergences, complementarities, and conflicts of interest; which affect the advance of new eco-friendly technologies, to both improve the livelihoods and to reverse biodiversity loss and environmental degradation. Content Type Journal Article Pages 1-16 DOI 10.1007/s10457-012-9498-4 Authors Helton Nonato de Souza, Department of Soil Quality, Wageningen University, Wageningen, The Netherlands Irene Maria Cardoso, Soil Science Department, Federal University of Viçosa, Viçosa, Brazil Eduardo de Sá Mendonça, Plant Production Department, Federal University of Espírito Santo, Alegre, ES 29500-000, Brazil Anôr Fiorini Carvalho, Soil Science Department, Federal University of Viçosa, Viçosa, Brazil Gustavo Bediaga de Oliveira, Centre of Alternative Technologies of Zona da Mata (CTA-ZM), Sitio Alfa Violeira, Zona Rural, Caixa Postal 128, Cep, Viçosa, MG 36570 000, Brazil Davi Feital Gjorup, Centre of Alternative Technologies of Zona da Mata (CTA-ZM), Sitio Alfa Violeira, Zona Rural, Caixa Postal 128, Cep, Viçosa, MG 36570 000, Brazil Verônica Rocha Bonfim, Centre of Alternative Technologies of Zona da Mata (CTA-ZM), Sitio Alfa Violeira, Zona Rural, Caixa Postal 128, Cep, Viçosa, MG 36570 000, Brazil Journal Agroforestry Systems Online ISSN 1572-9680 Print ISSN 0167-4366

Description:    Persistently high activity concentrations of radioactive Cs-137 ( T 1/2  = 30.17 a) in various animals and fruits originating from Bavarian forest ecosystems suggest that the contamination of soils in these ecosystems is still critical even decades after the severe inputs following the Chernobyl nuclear accident. Aware of the fact, that such inputs are a global threat that can re-emerge at any time, a new monitoring network was established in cooperation with the Bavarian State Ministry of the Environment and Public Health, to enhance the value of long-term radioprotection strategies in forests. Based on the investigation of 48 forest sites throughout the entire state territory, the project delivers a total of 889 gamma spectrometric records and demonstrates the current Cs-137 contamination situation of Bavarian forest soils, providing a valuable update on the residual contamination levels and thus a comprehensive inventory for any future radioprotection management. First results of this project are presented hereby. The total Cs-137 areal activity densities in Bavarian forest soils currently vary between 640 and 61,166 Bq m − ², with the peak areal activity density of each profile being located in the uppermost, humus rich mineral A-horizon in 68 % of all cases. Moreover, the results detect a positive correlation of humus thickness and relative areal Cs-137 activity density in humus horizons ( R ² = 0.50), validating previous findings on that topic by means of a very comprehensive data set across 2.56 Mio ha forest stands by showing that humus bodies 〉7.5 cm still contain at least 50 % of the total areal topsoil activity density. Content Type Journal Article Category Original Paper Pages 1-15 DOI 10.1007/s10342-012-0626-5 Authors Jennifer Winkelbauer, Department of Geomorphology and Soil Science, Technische Universität München, Freising-Weihenstephan, Germany Jörg Völkel, Department of Geomorphology and Soil Science, Technische Universität München, Freising-Weihenstephan, Germany Matthias Leopold, Department of Geomorphology and Soil Science, Technische Universität München, Freising-Weihenstephan, Germany Kerstin Hürkamp, Institute of Radiation Protection, Helmholtz-Zentrum München, German Research Center for Environmental Health, München-Neuherberg, Germany Rudolf Dehos, Department of Radioprotection and Radioecology, Bavarian State Ministry of the Environment and Public Health, Munich, Germany Journal European Journal of Forest Research Online ISSN 1612-4677 Print ISSN 1612-4669

Description: Agriculture significantly contributes to global greenhouse gas (GHG) emissions and there is a need to develop effective mitigation strategies. The efficacy of methods to reduce GHG fluxes from agricultural soils can be affected by a range of interacting management and environmental factors. Uniquely, we used the Taguchi experimental design methodology to rank the relative importance of six factors known to affect the emission of GHG from soil: nitrate (NO 3 − ) addition, carbon quality (labile and non-labile C), soil temperature, water-filled pore space (WFPS) and extent of soil compaction. Grassland soil was incubated in jars where selected factors, considered at two or three amounts within the experimental range, were combined in an orthogonal array to determine the importance and interactions between factors with a L 16 design, comprising 16 experimental units. Within this L 16 design, 216 combinations of the full factorial experimental design were represented. Headspace nitrous oxide (N 2 O), methane (CH 4 ) and carbon dioxide (CO 2 ) concentrations were measured and used to calculate fluxes. Results found for the relative influence of factors (WFPS and NO 3 − addition were the main factors affecting N 2 O fluxes, whilst glucose, NO 3 − and soil temperature were the main factors affecting CO 2 and CH 4 fluxes) were consistent with those already well documented. Interactions between factors were also studied and results showed that factors with little individual influence became more influential in combination. The proposed methodology offers new possibilities for GHG researchers to study interactions between influential factors and address the optimized sets of conditions to reduce GHG emissions in agro-ecosystems, while reducing the number of experimental units required compared with conventional experimental procedures that adjust one variable at a time.

Description:    A method for obtaining a relative deer population density index with low cost and effort is urgently needed in wildlife protection areas that need their own deer management guidelines. We recorded the number of deer sighted during our daily trips on forest roads by car in Ashiu Forest at Kyoto University, Japan, beginning in 2006. We used generalized additive mixed models (GAMMs) to estimate among-year trends in the number of deer sighted. We applied models for the total number of deer (TND), number of adults (NA), and number of fawns (NF) sighted, which included both current-year and 1-year-old fawns. Full models included the terms of year (2007, 2008, 2009, and 2010), weather (fine, cloudy, and rain/snow), and nonlinear effects of season (date) and time (time). The optimal GAMMs for TND, NA, and NF did not include the effect of weather but included those of time, date, and year. The detected among-year trends in deer population may be influenced by differences in snow environments among the years. The modeling of road count data using GAMM quantitatively determined among-year variation in the number of deer sighted. This trend was similar to that of the population density estimated using a block count survey conducted in Ashiu Forest. Content Type Journal Article Category Original Article Pages 1-7 DOI 10.1007/s10310-012-0379-5 Authors Inoue Mizuki, Laboratory of Forest Science, Faculty of Bioresource Sciences, Akita Prefectural University, Akita, 010-0195 Japan Shota Sakaguchi, Laboratory of Forest Biology, Graduate School of Agriculture, Kyoto University, Kyoto, Japan Keitaro Fukushima, Field Science Education and Research Center, Kyoto University, Kyoto, Japan Masaru Sakai, Graduate School of Global Environmental Studies, Kyoto University, Kyoto, Japan Atsushi Takayanagi, Laboratory of Forest Biology, Graduate School of Agriculture, Kyoto University, Kyoto, Japan Daisuke Fujiki, Institute of Natural and Environment Science, University of Hyogo, Tanba, Japan Michimasa Yamasaki, Laboratory of Forest Biology, Graduate School of Agriculture, Kyoto University, Kyoto, Japan Journal Journal of Forest Research Online ISSN 1610-7403 Print ISSN 1341-6979