1,816 research outputs found
Synthetic Aperture Techniques for Sonar Systems
Today a good percentage of our planet is known and well mapped. Synthetic aperture techniques used in space and airborne systems has greatly aided to obtain this information. Nevertheless our planet is mostly covered by water and the level of detail of knowledge about this segment is still very far away from that of the land segment
Yukon First Nation wildlife harvest data collection and management : lessons learned and future steps
The Yukon Umbrella Final Agreement was signed in 1993 and Chapter 16 allows Yukon First Nations to govern wildlife harvest on traditional territories. First Nation governments manage wildlife using traditional ecological knowledge and have started to collect harvest data to inventory wildlife use and incorporate in management. A workshop, hosted near Lake Laberge by Ta�an Kw�ch��n, facilitated discussion amongst First Nation delegates regarding wildlife harvest data collection was conducted November 5 and 6, 2009. A questionnaire was conducted prior to the workshop to provide guidance for discussion topics. The workshop had four objectives: 1) understand the importance of First Nation harvest data and how the data will be used during management decisions, 2) discuss methods used to collect harvest data and potential for a unified approach, 3) discuss potential methods for storing data, protecting confidentiality while allowing effective management, and 4) produce a document that can be used to implement or improve harvest data collection. This project will fulfill the fourth objective by summarizing the workshop content, explore the factors that promote and hinder data collection, and the intermediate and long-term objectives that will allow First Nation governments to become effective co-management partners while ensuring their traditional lifestyle and connection to the land is not lost
Organic matter quality in cryosols : effect on soil nitrogen dynamics and greenhouse gas emissions
Over the past millennia, complex terrestrial ecosystems have evolved in the Arctic. However, the stability of these unique ecosystems is in jeopardy because of climate changes. Due to the fact that Arctic soils store great amounts of carbon (C) in soil organic matter (SOM), any change that may occur in SOM with climate changes may substantially affect many aspects of Arctic ecosystems such as vegetation, animals, and humans. On a more global perspective, any change in Arctic SOM has the potential of modifying the overall world climate by affecting the global greenhouse gas (GHG) budget. A better understanding of the soil factors that affect soil N and C cycling at the landscape scale, such as moisture, temperature, and SOM characteristics, is necessary to produce better models. The overall objective of this study was to characterize the properties of SOM in Arctic soils and their influence on soil N and C cycling dynamics � including GHG emissions � at the landscape scale.
This study was conducted in three distinct Arctic ecosystems: Sub-Arctic (Churchill, MB), Low-Arctic (Daring Lake, NWT), and High-Arctic (Truelove, NU). For each site, the sampling locations were evenly divided into five landform units: 1) upper slope (Up), 2) back slope (Back), and 3) lower slope (Low) for catena sites, and 4) hummock (Hum) and 5) wedges of hummock (W) for hummocky sites (i.e., hummock in Churchill and ice-wedge polygons in Truelove). All sites were sampled at the end of their growing season (from 2 to 3 weeks before plant senescence). The characteristics of SOM were assessed using three methods: 1) density fractionation to separate the uncomplexed light fraction (LF) from heavy fraction (HF) of SOM (LF < 1.55 g mL-1 < HF), 2) solid-state CPMAS 13C nuclear magnetic resonance (NMR) spectroscopy that determined the relative proportions of carbonyl-C (CbyC), alkyl-C (AC), aromatic-C (AroC), o-alkyl-C (OAC), and carbohydrates-C (CC), and 3) water-extractable organic matter (WEOM) that estimated SOM diluted in soil solution. Soil gross N mineralization was measured in situ using 15N dilution technique. Soil GHG emissions [nitrous oxide (N2O), methane (CH4), and carbon dioxide (CO2)] were measured in situ using a multicomponent Fourier transform infrared gas analyzer coupled with an automated dark chamber.
The first study showed that organic surface soils, which had more than 17% soil organic C (SOC) by weight, contained relatively more labile SOM than mineral surface soils (< 17% SOC). For example, OAC:AroC ratios of the organic soils ranged from 25 to 75% greater compared to mineral soils. At Churchill, Daring Lake, and Truelove, 53, 73, and 20% of the C and N was included in the LF, respectively. All results show that the organic soils of Sub- and Low-Arctic ecosystems sampled for this study contain more fresh and un-decomposed plant residues than High-Arctic organic soils. The second study showed that both topography and ecosystems had a significant impact on gross N mineralization and CO2 emission rates. For example, at Churchill, gross N mineralization increased about 6-fold from upper slope to lower slope areas. Similarly, at Daring Lake, CO2 emissions increase about 5-fold from upper slope to lower slope areas. Topography and ecosystems had a very limited impact on soil N2O and CH4 emissions most likely because net emissions were extremely low. The third study showed that soil moisture, SOM quantity, and labile SOM parameters such as OAC:AroC and water-soluble organic carbon (WSOC) positively influenced gross N mineralization, N2O, and CO2 emissions, whereas the relative proportion of AroC negatively influenced gross N mineralization, N2O, and CO2 emissions. Relationships between SOM characteristics and CH4 emissions were not significant. This study showed that Up and Back areas tended to store relatively more recalcitrant SOM (AroC) than Low, Hum, and W areas, suggesting less fresh plant input on these landform units.
Assessing SOM qualities with the ability of the soils to mineralize N (i.e., gross N mineralization) and release GHG at the landscape scale and across the Arctic represents a great advance in the understanding of these complex and unique ecosystems. Lower proportion of fresh and labile SOM found on Up and some Back landform units compared to Low and hummocky sites suggest that plants have more difficulties establishing and growing on these landform units (e.g., Up and Back) that experience harsh climates. Therefore, generalizations of the climate change impacts on soil N and C cycling processes throughout Arctic landscapes and ecosystems are less certain if topography is not considered. These results are particularly important because they can be used to produce better models that evaluate SOM stocks and dynamics under several climate scenarios and across Arctic landscapes and ecosystems
Overcoming HMM Time and Parameter Independence Assumptions for ASR
Postprint (published version
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