http://hdl.handle.net/1957/7530 The College of Forestry and FRLhave earned a reputation as a world-class center of teaching, learning and research about forests and related resources. Thu, 16 May 2013 00:32:57 GMT 2013-05-16T00:32:57Z http://http://ir.library.oregonstate.edu:80/xmlui/bitstream/id/55209/CentLogoColor_sm.jpg http://hdl.handle.net/1957/7530 http://hdl.handle.net/1957/38589 Farmers’ Strategies for Adapting to and Mitigating Climate Variability and Change through Agroforestry in Ethiopia and Kenya Bishaw, Badege; Neufeldt, Henry; Mowo, Jeremias; Abdelkadir, Abdu; Muriuki, Jonathan; Dalle, Gemedo; Assefa, Tewodros; Guillozet, Kathleen; Kassa, Habtemariam; Dawson, Ian K.; Luedeling, Eike; Mbow, Cheikh Tue, 01 Jan 2013 00:00:00 GMT http://hdl.handle.net/1957/38589 2013-01-01T00:00:00Z http://hdl.handle.net/1957/38580 Living with climate change in the Pacific Northwest Waring, Richard Public talk presented to the Corvallis Chapter of the League of Women Voters, April 9th, 2013. Tue, 09 Apr 2013 00:00:00 GMT http://hdl.handle.net/1957/38580 2013-04-09T00:00:00Z http://hdl.handle.net/1957/38306 Do network relationships matter? Comparing network and instream habitat variables to explain densities of juvenile coho salmon (Oncorhynchus kisutch) in mid-coastal Oregon, USA Flitcroft, Rebecca L.; Burnett, Kelly M.; Reeves, Gordon H.; Ganio, Lisa M. 1. Aquatic ecologists are working to develop theory and techniques for analysis of dynamic stream processes and communities of organisms. Such work is critical for the development of conservation plans that are relevant at the scale of entire ecosystems. The stream network is the foundation upon which stream systems are organized. Natural and human disturbances in streams alter the configuration of stream habitats such as pools, riffles, and glides across seasons, decades, or centuries. Thus, native aquatic species have developed mechanisms for adapting to the dynamic configuration of habitats in stream networks. 2. At different spatial scales, stream network structure informs habitat connectivity for aquatic–obligate species. The movement of aquatic species both upstream and downstream is limited by stream channels and may be modified by the downstream flow of water, nutrients, and physical materials such as wood and substrate. Analysing streams as networks offers a realistic and holistic perspective for assessing movement and distribution by freshwater aquatic species in response to life-history needs and environmental conditions. 3. In this study, network analysis was facilitated by automating, in a Geographic Information System, the calculation of network distances and variables that represent spatial configuration. A comparison between traditional instream habitat variables and network variables for juvenile coho salmon (Oncorhynchus kisutch) in seven sub-basins of Oregon's mid-coast over a 5-year period revealed that network variables perform better at explaining juvenile coho salmon density than instream habitat variables. Moreover, analysis of network distances among seasonal habitats indicates that juvenile coho salmon density may be higher where the distance between critical seasonal habitats is short. This work furthers aquatic conservation, management, and restoration by including analysis of the proximity and connectivity among aquatic freshwater habitats. Published in 2012. This article is a US Government work and is in the public domain in the USA. This is a scanned version of a published article. The original can be found at: http://onlinelibrary.wiley.com/journal/10.1002/%28ISSN%291099-0755. To the best of our knowledge, one or more authors of this paper were federal employees when contributing to this work. Tue, 01 May 2012 00:00:00 GMT http://hdl.handle.net/1957/38306 2012-05-01T00:00:00Z http://hdl.handle.net/1957/38267 An Adaptive Network-based Fuzzy Inference System for Rock Share Estimation in Forest Road Construction Ghajar, Ismael; Najafi, Akbar; Torabi, Seyed Ali; Khamehchiyan, Mashalah; Boston, Kevin This paper presents a new Rock Share Estimation (RSE) procedure that can estimate the cost of forest road construction. One of the key elements of the total cost in road construction is the cost of embankment. The proportion of the rock directly influences the price of this activity. Hence, a reliable estimation of rock proportion should be made within the entire project area, especially in rocky areas. The objective of the study is to introduce a practical expert system to estimate the share of rock as a function of terrain slope and geological formations using the Adaptive Network based Fuzzy Inference System (ANFIS) and Analytic Hierarchy Process (AHP). This approach can be very useful first to show the variability of rock proportion and second to model the excavation costs in an area, which are essential for planning forest roads. This study treats geological composition as a decision variable that is solved by AHP method and applies the ANFIS to model and predict the share of rock in different physiographic and geological conditions. In order to investigate the impact of change in membership functions (MF), four types of MFs were adopted to generate the hybrid RSE-ANFIS models. Furthermore, to show the applicability of the proposed approach, the optimum model was applied to a mountainous forest, where additional forest road network should be constructed in the future periods. This is the publisher’s final pdf. The published article is copyrighted by the Forestry Faculty of Zagreb University, "Croatian forests" Ltd. and can be found at: http://crojfe.sumfak.hr/. Sat, 01 Sep 2012 00:00:00 GMT http://hdl.handle.net/1957/38267 2012-09-01T00:00:00Z