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Plant Community Composition And Structure Monitoring For Scotts Bluff National Monument, 2012 Annual Report, Isabel W. Ashton, Michael Prowatzke, Stephen K. Wilson Dec 2012

Plant Community Composition And Structure Monitoring For Scotts Bluff National Monument, 2012 Annual Report, Isabel W. Ashton, Michael Prowatzke, Stephen K. Wilson

United States National Park Service: Publications

Executive Summary

the last remnants of native mixed-grass prairie in the region. The Northern Great Plains Inventory & Monitoring Network (NGPN) surveyed 8 long-term monitoring plots in Scotts Bluff National Monument in 2012 as part of an effort to better understand the condition of plant communities in the park. We measured plant diversity and cover, estimated tree and shrub density, looked for the presence of exotic species that are of concern to park management, and evaluated the amount of human and natural disturbance at all plots. This effort was the second year in a multiple-year venture to document the current …


Remote Sensing-Based Time Series Models For Malaria Early Warning In The Highlands Of Ethiopia, A. Midekisa, G. Senay, G. M. Henebry, P. Semuniguse, M. C. Wimberly May 2012

Remote Sensing-Based Time Series Models For Malaria Early Warning In The Highlands Of Ethiopia, A. Midekisa, G. Senay, G. M. Henebry, P. Semuniguse, M. C. Wimberly

Natural Resource Management Faculty Publications

Background

Malaria is one of the leading public health problems in most of sub-Saharan Africa, particularly in Ethiopia. Almost all demographic groups are at risk of malaria because of seasonal and unstable transmission of the disease. Therefore, there is a need to develop malaria early-warning systems to enhance public health decision making for control and prevention of malaria epidemics. Data from orbiting earth-observing sensors can monitor environmental risk factors that trigger malaria epidemics. Remotely sensed environmental indicators were used to examine the influences of climatic and environmental variability on temporal patterns of malaria cases in the Amhara region of Ethiopia. …


Scotts Bluff National Monument, Plant Community Resource Brief, Isabel Ashton, Mike Prowatzke Feb 2012

Scotts Bluff National Monument, Plant Community Resource Brief, Isabel Ashton, Mike Prowatzke

United States National Park Service: Publications

2011 Monitoring Status

Overview

In 2011, the first year of vegetation monitoring by the Northern Great Plains Network Inventory and Monitoring staff at Scotts Bluff National Monument, efforts resulted in the documentation of 79 plant species. This was the lowest number of species among parks sampled in 2011. Graminoid (grass and grass-like plant) species accounted for only 21 (27%) of the total species, but graminoid cover was much higher than that of any other plant type. Forbs were much more diverse, but did not provide as much foliar cover.

The 5 most abundant native non-graminoids were winterfat (Krascheninnikovia lanata …


Plant Community Composition And Structure Monitoring Protocol For The Northern Great Plains I&M Network - Standard Operating Procedures, Version 1.01, Amy J. Symstad, Robert A. Gitzen, Cody L. Wienk, Michael R. Bynum, Daniel J. Swanson, Andy D. Thorstenson, Kara J. Paintner-Green Feb 2012

Plant Community Composition And Structure Monitoring Protocol For The Northern Great Plains I&M Network - Standard Operating Procedures, Version 1.01, Amy J. Symstad, Robert A. Gitzen, Cody L. Wienk, Michael R. Bynum, Daniel J. Swanson, Andy D. Thorstenson, Kara J. Paintner-Green

United States National Park Service: Publications

Introduction

The Northern Great Plains Inventory and Monitoring Network (NGPN) includes thirteen park units located in five northern Great Plains states across six ecoregions. Plant community composition and structure monitoring comprises the core of the vegetation monitoring effort for the NGPN, covering the “Riparian Lowland Plant Communities” and “Upland Plant Communities” vital signs (Gitzen et al. 2010). The narrative portion of the plant community protocol can be found in Symstad et al. 2012. The narrative includes the rationale for vegetation monitoring, an overview of sample design, field methods, data management, and program requirements. This document contains the standard operating procedures …


Grts And Graphs: Monitoring Natural Resources In Urban Landscapes, Todd R. Lookingbill, John Paul Schmit, Shawn L. Carter Jan 2012

Grts And Graphs: Monitoring Natural Resources In Urban Landscapes, Todd R. Lookingbill, John Paul Schmit, Shawn L. Carter

Geography and the Environment Faculty Publications

Environmental monitoring programs are an important tool for providing land managers with a scientific basis for management decisions. However, many ecological processes operate on spatial scales that transcend management boundaries (Schonewald-Cox 1988). For example, adjacent lands may influence protected-area resources via edge effects, source-sink dynamics, or invasion processes (Jones et al. 2009). Hydrologic alterations outside management units also may have profound effects on the integrity of resources being managed (Pringle 2000). The impacts of climate change are presenting challenges to resource management at local-to-global scales (Karl et al. 2009). This potential disparity between ecological and political boundaries presents an interesting …


The Geography Of Greenhouse Gas Emissions From Within Urban Areas Of Asia, Jochen Albrecht, Peter Marcotullio, Andrea Sarzynski, Niels Schulz Jan 2012

The Geography Of Greenhouse Gas Emissions From Within Urban Areas Of Asia, Jochen Albrecht, Peter Marcotullio, Andrea Sarzynski, Niels Schulz

Publications and Research

This paper aims to advance two objectives: (1) identify and explore greenhouse gas emissions from urban areas in Asia at the regional level; and (2) explore covariates of urban greenhouse gas emissions. We use the Emissions Database for Global Atmospheric Research estimates for carbon dioxide, methane, nitrous oxide, and sulfur hexafluoride from 14 source activities for the year 2000, which are allocated on a 1/108 global grid. We extract emissions for 3535 urban extents all with populations over 50,000, accounting for approximately 91% of the region’s urban population. We use regression analysis to associate emissions with urban area and growth, …