Physical Sciences and Mathematics | Open Access Articles

Effects Of Different Soil Media, Vegetation, And Hydrologic Treatments On Nutrient And Sediment Removal In Roadside Bioretention Systems, Paliza Shrestha, Stephanie E. Hurley, Beverley C. Wemple

College of Arts and Sciences Faculty Publications

Water quality performance of eight roadside bioretention cells in their third and fourth years of implementation were evaluated in Burlington, Vermont. Bioretention cells received varying treatments: (1) vegetation with high-diversity (7 species) and low-diversity plant mix (2 species); (2) proprietary SorbtiveMedia™ (SM) containing iron and aluminum oxide granules to enhance sorption capacity for phosphorus; and (3) enhanced rainfall and runoff (RR) to certain cells (including one with SM treatment) at three levels (15%, 20%, 60% more than their control counterparts), mimicking anticipated precipitation increases associated with climate change. A total of 121 storms across all cells were evaluated in 2015 …

Go to article

Soil Media Co2 And N2O Fluxes Dynamics From Sand-Based Roadside Bioretention Systems, Paliza Shrestha, Stephanie E. Hurley, E. Carol Adair

College of Agriculture and Life Sciences Faculty Publications

Green stormwater infrastructure such as bioretention is commonly implemented in urban areas for stormwater quality improvements. Although bioretention systems' soil media and vegetation have the potential to increase carbon (C) and nitrogen (N) storage for climate change mitigation, this storage potential has not been rigorously studied, and any analysis of it must consider the question of whether bioretention emits greenhouse gases to the atmosphere. We monitored eight roadside bioretention cells for CO2-C and N2O-N fluxes during two growing seasons (May through October) in Vermont, USA. C and N stocks in the soil media layers, microbes, and aboveground vegetation were also …

Go to article

Mixed Methods Approach To Understanding Farmer And Agricultural Advisor Perceptions Of Climate Change And Adaptation In Vermont, United States, Rachel E. Schattman, V. Ernesto Méndez, Scott C. Merrill, Asim Zia

College of Agriculture and Life Sciences Faculty Publications

The relationships among farmers’ belief in climate change, perceptions of climate-related risk, and use of climate adaptation practices is a growing topic of interest in U.S. scholarship. The northeast region is not well represented in the literature, although it is highly agricultural and will likely face climate-related risks that differ from those faced in other regions. We used a mixed methods approach to examine northeast farmers’ perceptions of climate change and climate-related risks over time, and perceived trade-offs associated with on-farm practices. Our investigation shows how northeastern farmers think about climate-risk, and what they are doing to address it.

Go to article

Spatial Analysis Of Ecosystem Service Relationships To Improve Targeting Of Payments For Hydrological Services, Pierre Mokondoko, Robert H. Manson, Taylor H. Ricketts, Daniel Geissert

Rubenstein School of Environment and Natural Resources Faculty Publications

Payment for hydrological services (PHS) are popular tools for conserving ecosystems and their water-related services. However, improving the spatial targeting and impacts of PHS, as well as their ability to foster synergies with other ecosystem services (ES), remain challenging. We aimed at using spatial analyses to evaluate the targeting performance of Mexico's National PHS program in central Veracruz. We quantified the effectiveness of areas targeted for PHS in actually covering areas of high HS provision and social priority during 2003-2013. First, we quantified provisioning and spatial distributions of two target (water yield and soil retention), and one non-target ES (carbon …

Go to article

A Cross-Country Analysis Of Climate Shocks And Smallholder Food Insecurity, Meredith T. Niles, Jonathan D. Salerno

College of Agriculture and Life Sciences Faculty Publications

Future climate changes will affect smallholder farmers in the developing world, posing threats to household food security. Nevertheless, there remains limited comparable evidence across multiple countries and regions regarding the global extent of climate shocks affecting smallholder food security. We examine data from 5,299 household surveys across 15 countries in Latin America, Africa and South Asia to assess the extent of climate shocks and their association with food insecurity, as well as what strategies may help buffer against climate shocks. We find that 71% of households reported experiencing a climate shock in the previous five years. Fifty-four percent reported experiencing …

Go to article

Small-Scale Genotypic Richness Stabilizes Plot Biomass And Increases Phenotypic Variance In The Invasive Grass Phalaris Arundinacea, Alexandra R. Collins, Brian Beckage, Jane Molofsky

College of Agriculture and Life Sciences Faculty Publications

Published by Oxford University Press on behalf of the Institute of Botany, Chinese Academy of Sciences and the Botanical Society of China. All rights reserved. Aims We aim to understand how small-scale genotypic richness and genotypic interactions influence the biomass and potential invasiveness of the invasive grass, Phalaris arundinacea under two different disturbance treatments: intact plots and disturbed plots, where all the native vegetation has been removed. Specifically, we address the following questions (i) Does genotypic richness increase biomass production? (ii) Do genotypic interactions promote or reduce biomass production? (iii) Does the effect of genotypic richness and genotypic interactions differ …

Go to article

Nets: Extremely Fast Outlier Detection From A Data Stream Via Set-Based Processing, Susik Yoon, Jae Gil Lee, Byung Suk Lee

College of Engineering and Mathematical Sciences Faculty Publications

This paper addresses the problem of efficiently detecting outliers from a data stream as old data points expire from and new data points enter the window incrementally. The proposed method is based on a newly discovered characteristic of a data stream that the change in the locations of data points in the data space is typically very insignificant. This observation has led to the finding that the existing distance-based outlier detection algorithms perform excessive unnecessary computations that are repetitive and/or canceling out the effects. Thus, in this paper, we propose a novel set-based approach to detecting outliers, whereby data points …

Go to article

Energy And Complexity, Zofia Lukszo, Ettore Bompard, Paul Hines, Liz Varga

College of Engineering and Mathematical Sciences Faculty Publications

No abstract provided.

Go to article

The Climate-Smart Village Approach: Framework Of An Integrative Strategy For Scaling Up Adaptation Options In Agriculture, Pramod K. Aggarwal, Andy Jarvis, Bruce M. Campbell, Robert B. Zougmoré, Arun Khatri-Chhetri, Sonja J. Vermeulen, Ana Maria Loboguerrero, Leocadio S. Sebastian, James Kinyangi, Osana Bonilla-Findji, Maren Radeny, John Recha, Deissy Martinez-Baron, Julian Ramirez-Villegas, Sophia Huyer, Philip Thornton, Eva Wollenberg, James Hansen, Patricia Alvarez-Toro, Andrés Aguilar-Ariza, David Arango-Londoño, Victor Patiño-Bravo, Ovidio Rivera, Mathieu Ouedraogo, Bui Tan Yen

Rubenstein School of Environment and Natural Resources Faculty Publications

Increasing weather risks threaten agricultural production systems and food security across the world. Maintaining agricultural growth while minimizing climate shocks is crucial to building a resilient food production system and meeting developmental goals in vulnerable countries. Experts have proposed several technological, institutional, and policy interventions to help farmers adapt to current and future weather variability and to mitigate greenhouse gas (GHG) emissions. This paper presents the climate-smart village (CSV) approach as a means of performing agricultural research for development that robustly tests technological and institutional options for dealing with climatic variability and climate change in agriculture using participatory methods. It …

Go to article

Bi-Dimensional Null Model Analysis Of Presence-Absence Binary Matrices, Giovanni Strona, Werner Ulrich, Nicholas J. Gotelli

College of Arts and Sciences Faculty Publications

Ecology, published by Wiley Periodicals, Inc., on behalf of the Ecological Society of America. Comparing the structure of presence/absence (i.e., binary) matrices with those of randomized counterparts is a common practice in ecology. However, differences in the randomization procedures (null models) can affect the results of the comparisons, leading matrix structural patterns to appear either “random” or not. Subjectivity in the choice of one particular null model over another makes it often advisable to compare the results obtained using several different approaches. Yet, available algorithms to randomize binary matrices differ substantially in respect to the constraints they impose on the …

Go to article

Physical Sciences and Mathematics Commons^™

Full-Text Articles in Physical Sciences and Mathematics

Effects Of Different Soil Media, Vegetation, And Hydrologic Treatments On Nutrient And Sediment Removal In Roadside Bioretention Systems, Paliza Shrestha, Stephanie E. Hurley, Beverley C. Wemple

College of Arts and Sciences Faculty Publications

Soil Media Co2 And N2O Fluxes Dynamics From Sand-Based Roadside Bioretention Systems, Paliza Shrestha, Stephanie E. Hurley, E. Carol Adair

College of Agriculture and Life Sciences Faculty Publications

Mixed Methods Approach To Understanding Farmer And Agricultural Advisor Perceptions Of Climate Change And Adaptation In Vermont, United States, Rachel E. Schattman, V. Ernesto Méndez, Scott C. Merrill, Asim Zia

College of Agriculture and Life Sciences Faculty Publications

Spatial Analysis Of Ecosystem Service Relationships To Improve Targeting Of Payments For Hydrological Services, Pierre Mokondoko, Robert H. Manson, Taylor H. Ricketts, Daniel Geissert

Rubenstein School of Environment and Natural Resources Faculty Publications

A Cross-Country Analysis Of Climate Shocks And Smallholder Food Insecurity, Meredith T. Niles, Jonathan D. Salerno

College of Agriculture and Life Sciences Faculty Publications

Small-Scale Genotypic Richness Stabilizes Plot Biomass And Increases Phenotypic Variance In The Invasive Grass Phalaris Arundinacea, Alexandra R. Collins, Brian Beckage, Jane Molofsky

College of Agriculture and Life Sciences Faculty Publications

Nets: Extremely Fast Outlier Detection From A Data Stream Via Set-Based Processing, Susik Yoon, Jae Gil Lee, Byung Suk Lee

College of Engineering and Mathematical Sciences Faculty Publications

Energy And Complexity, Zofia Lukszo, Ettore Bompard, Paul Hines, Liz Varga

College of Engineering and Mathematical Sciences Faculty Publications

Rubenstein School of Environment and Natural Resources Faculty Publications

Bi-Dimensional Null Model Analysis Of Presence-Absence Binary Matrices, Giovanni Strona, Werner Ulrich, Nicholas J. Gotelli

College of Arts and Sciences Faculty Publications