Drougthscape, Spring 2015,
2015
University of Nebraska-Lincoln
Drougthscape, Spring 2015, Kelly Smith
DroughtScape: Quarterly Newsletter of the National Drought Mitigation Center (2007–2023)
Contents
Director’s column.
South Plains ranch workshops 3
First quarter drought summary
First quarter impacts summary
Gary’s favorite pond, D1-4
NDMC’s Haigh leads U2U pubs
SW Montana watersheds convene
Wind River monitors drought
Morocco’s new drought index
Northeast Brazil drought monitoring
EU’s drought initiative
U.S. Drought Monitor Forum
How Colorado tourism coped in 2012
Existential Avalanche The Lived Experience Of Climate Change In Dolpo And Mustang, Nepal,
2015
SIT Study Abroad
Existential Avalanche The Lived Experience Of Climate Change In Dolpo And Mustang, Nepal, Keegan Mcchesney
Independent Study Project (ISP) Collection
Himalayan communities stand precariously in an era of phenomenological uncertainty. Climate change is merely a lens through which we may observe and begin to understand such localized modern complexities. The people of the Tarap Valley in Dolpo, Nepal have experienced an increase in avalanches, snow leopard attacks and unpredictable precipitation patterns in recent years. In upper Mustang, Nepal, people have endured the harshest winter in generations and suffered from reduced water access. Environmental, climatic and weather related changes in both Himalayan districts have severely impacted traditional livelihoods and led some to adopt modern means of adaptation. Despite the scientific evidence …
On Nine Mile,
2015
University of Nebraska-Lincoln
On Nine Mile, Allen Morris
School of Art, Art History, and Design: Theses and Student Creative Work
The photographs of On Nine Mile were made to explore my developing relationship with the place I now inhabit. They compare the reality of a place against preconception and actual experience versus idealized expectations. I made this work to help understand a landscape to which I was transplanted and to which I had no connection. This exhibition is comprised of photographs taken at a section of untilled prairie called Nine Mile that most closely resembled my visual preconception of the Great Plains. I grew up in the Pacific Northwest surrounded by the mountains, forests, and shoreline that typify the landscape …
U.S. Drought Monitor, March 31, 2015,
2015
U.S. Department of Agriculture
U.S. Drought Monitor, March 31, 2015, Eric Luebehusen
United States Agricultural Commodities in Drought Archive
Drought map of U.S. for March 31, 2015 (3/31/15) plus: U.S. crop areas experiencing drought (map), Approximate percentage of crop located in drought, by state (bar graph), Percent of crop area located in drought, past 52 weeks (line graph) for: Corn, Soybeans, Hay, Cattle, Winter wheat.
U.S. Drought Monitor, March 24, 2015,
2015
U.S. Department of Agriculture
U.S. Drought Monitor, March 24, 2015, Eric Luebehusen
United States Agricultural Commodities in Drought Archive
Drought map of U.S. for March 24, 2015 (3/24/15) plus: U.S. crop areas experiencing drought (map), Approximate percentage of crop located in drought, by state (bar graph), Percent of crop area located in drought, past 52 weeks (line graph) for: Corn, Soybeans, Hay, Cattle, Winter wheat.
U.S. Drought Monitor, March 17, 2015,
2015
NCDC/NESDIS/NOAA
U.S. Drought Monitor, March 17, 2015, Chris Fenimore
United States Agricultural Commodities in Drought Archive
Drought map of U.S. for March 17, 2015 (3/17/15) plus: U.S. crop areas experiencing drought (map), Approximate percentage of crop located in drought, by state (bar graph), Percent of crop area located in drought, past 52 weeks (line graph) for: Corn, Soybeans, Hay, Cattle, Winter wheat.
U.S. Drought Monitor, March 10, 2015,
2015
NOAA/NWS/NCEP/CPC
U.S. Drought Monitor, March 10, 2015, Matthew Rosencrans
United States Agricultural Commodities in Drought Archive
Drought map of U.S. for March 10, 2015 (3/10/15) plus: U.S. crop areas experiencing drought (map), Approximate percentage of crop located in drought, by state (bar graph), Percent of crop area located in drought, past 52 weeks (line graph) for: Corn, Soybeans, Hay, Cattle, Winter wheat.
Development Modeling Of Lucilia Sericata (Diptera: Calliphoridae),
2015
College of Saint Mary
Development Modeling Of Lucilia Sericata (Diptera: Calliphoridae), Amanda Roe, Leon G. Higley
School of Natural Resources: Faculty Publications
The relationship between insect development and temperature has been well established and has a wide range of uses, including the use of blow flies for postmortem (PMI) interval estimations in death investigations. To use insects in estimating PMI, we must be able to determine the insect age at the time of discovery and backtrack to time of oviposition. Unfortunately, existing development models of forensically important insects are only linear approximations and do not take into account the curvilinear properties experienced at extreme temperatures. A series of experiments were conducted with Lucilia sericata, a forensically important blow fly species, that met …
Joint Control Of Terrestrial Gross Primary Productivity
By Plant Phenology And Physiology,
2015
University of Oklahoma
Joint Control Of Terrestrial Gross Primary Productivity By Plant Phenology And Physiology, Jianyang Xia, Shuli Niu, Philippe Ciais, Ivan A. Janssens, Jiquan Chen, Christof Ammann, Altaf Arain, Peter D. Blanken, Alessandro Cescatti, Damien Bonal, Nina Buchmann, Peter S. Curtis, Shiping Chen, Jinwei Dong, Lawrence B. Flanagan, Christian Frankenberg, Teodoro Georgiadis, Christopher M. Gough, Dafeng Hui, Gerard Kiely, Jianwei Li, Magnus Lund, Vincenzo Magliulo, Barbara Marcolla, Lutz Merbold, Leonardo Montagnani, Eddy J. Moors, Jorgen E. Olesen, Shilong Piao, Antonio Raschi, Oliver Roupsard, Andrew E. Suyker, Marek Urbaniak, Francesco P. Vaccari, Andrej Varlagin, Timo Vesala, Matthew Wilkinson, Ensheng Weng, Georg Wohlfahrt, Liming Yan, Yiqi Luo
School of Natural Resources: Faculty Publications
Terrestrial gross primary productivity (GPP) varies greatly over time and space. A better understanding of this variability is necessary for more accurate predictions of the future climate–carbon cycle feedback. Recent studies have suggested that variability in GPP is driven by a broad range of biotic and abiotic factors operating mainly through changes in vegetation phenology and physiological processes. However, it is still unclear how plant phenology and physiology can be integrated to explain the spatiotemporal variability of terrestrial GPP. Based on analyses of eddy–covariance and satellite-derived data, we decomposed annual terrestrial GPP into the length of the CO2 uptake period …
U.S. Drought Monitor, March 3, 2015,
2015
Western Regional Climate Center
U.S. Drought Monitor, March 3, 2015, David Simeral
United States Agricultural Commodities in Drought Archive
Drought map of U.S. for March 3, 2015 (3/3/15) plus: U.S. crop areas experiencing drought (map), Approximate percentage of crop located in drought, by state (bar graph), Percent of crop area located in drought, past 52 weeks (line graph) for: Corn, Soybeans, Hay, Cattle, Winter wheat.
Plant Community Composition And Structure Monitoring For Agate Fossil Beds National Monument, 2014 Annual Report,
2015
United States National Park Service, Northern Great Plains Inventory & Monitoring Network
Plant Community Composition And Structure Monitoring For Agate Fossil Beds National Monument, 2014 Annual Report, Michael Prowatzke, Stephen K. Wilson
United States National Park Service: Publications
Abstract
This report presents the results of vegetation monitoring efforts in 2014 at Agate Fossil Beds National Monument (AGFO) by the Northern Great Plains Inventory and Monitoring Network (NGPN).
During the fourth full year of field work, crew members from NGPN visited six plant community monitoring plots to collect data on the vegetation at AGFO. This is part of a long-term monitoring effort that will sample six of 15 randomly located upland plots every year, so that each plot is visited for two consecutive years and then rested for three years, on a five-year rotating basis. NGPN staff captured data …
Karst Porosity Estimations From Archive Cave Surveys - Studies In The Buda Thermal Karst System (Hungary),
2015
Eötvös Loránd University, Budapest
Karst Porosity Estimations From Archive Cave Surveys - Studies In The Buda Thermal Karst System (Hungary), Gáspár Albert, Magdolna Virág, Anita Erőss
International Journal of Speleology
The Buda Thermal Karst System is located under the densely populated hills of Budapest. One of its caves (Pál-völgy Cave System) is the longest cave of Hungary with 30.1 km. The research was done in this area as a methodological study to estimate karst porosity parameters of aquifers or hydrocarbon reservoirs. In this study two modeling methods are demonstrated. The volumetric modeling method was primarily aimed to determine the macro-scale (>0.5 m) conduit porosity (referred as macroporosity) of the study area as percentage of the incorporating limestone and marl. This method is based on archive survey data (maps and …
U.S. Drought Monitor, February 24, 2015,
2015
United States National Oceanic and Atmospheric Administration, National Climatic Data Center
U.S. Drought Monitor, February 24, 2015, Richard R. Heim Jr.
United States Agricultural Commodities in Drought Archive
Drought map of the United States for February 24, 2015 (2/24/15) plus: United States crop areas experiencing drought (map), an approximate percentage of crop located in drought by state (bar graph), and the percentage of crop area located in drought during the past 52 weeks (line graph) for corn, soybeans, hay, cattle, and winter wheat.
U.S. Drought Monitor, February 17, 2015,
2015
United States National Oceanic and Atmospheric Administration, National Climatic Data Center
U.S. Drought Monitor, February 17, 2015, Richard R. Heim Jr.
United States Agricultural Commodities in Drought Archive
Drought map of the United States for February 17, 2015 (2/17/15) plus: United States crop areas experiencing drought (map), an approximate percentage of crop located in drought by state (bar graph), and the percentage of crop area located in drought during the past 52 weeks (line graph) for corn, soybeans, hay, cattle, and winter wheat.
U.S. Drought Monitor, February 10, 2015,
2015
Western Regional Climate Center
U.S. Drought Monitor, February 10, 2015, David Simeral
United States Agricultural Commodities in Drought Archive
Drought map of U.S. for February 10, 2015 (2/10/15) plus: U.S. crop areas experiencing drought (map), Approximate percentage of crop located in drought, by state (bar graph), Percent of crop area located in drought, past 52 weeks (line graph) for: Corn, Soybeans, Hay, Cattle, Winter wheat.
U.S. Drought Monitor, February 3, 2015,
2015
National Drought Mitigation Center
U.S. Drought Monitor, February 3, 2015, Brian Fuchs
United States Agricultural Commodities in Drought Archive
Drought map of U.S. for February 3, 2015 (2/3/15) plus: U.S. crop areas experiencing drought (map), Approximate percentage of crop located in drought, by state (bar graph), Percent of crop area located in drought, past 52 weeks (line graph) for: Corn, Soybeans, Hay, Cattle, Winter wheat.
Productivity, Absorbed Photosynthetically Active Radiation, And Light Use Efficiency In Crops: Implications For Remote Sensing Of Crop Primary Production,
2015
University of Nebraska - Lincoln
Productivity, Absorbed Photosynthetically Active Radiation, And Light Use Efficiency In Crops: Implications For Remote Sensing Of Crop Primary Production, Anatoly A. Gitelson, Yi Peng, Timothy J. Arkebauer, Andrew E. Suyker
School of Natural Resources: Faculty Publications
Vegetation productivity metrics such as gross primary production (GPP) at the canopy scale are greatly affected by the efficiency of using absorbed radiation for photosynthesis, or light use efficiency (LUE). Thus, close investigation of the relationships between canopy GPP and photosynthetically active radiation absorbed by vegetation is the basis for quantification of LUE. We used multiyear observations over irrigated and rainfed contrasting C3 (soybean) and C4 (maize) crops having different physiology, leaf structure, and canopy architecture to establish the relationships between canopy GPP and radiation absorbed by vegetation and quantify LUE. Although multiple LUE definitions are reported in the literature, …
Plant Community Composition And Structure Monitoring For Scotts Bluff National Monument, 2014 Annual Report,
2015
United States National Park Service, Northern Great Plains Inventory & Monitoring Network
Plant Community Composition And Structure Monitoring For Scotts Bluff National Monument, 2014 Annual Report, Michael Prowatzke, Stephen K. Wilson
United States National Park Service: Publications
Abstract
This report presents the results of vegetation monitoring efforts in 2014 at Scotts Bluff National Monument (SCBL) by the Northern Great Plains Inventory and Monitoring Network (NGPN).
During the fourth full year of field work, crew members from NGPN visited eight plant community monitoring plots to collect data on the vegetation at SCBL. This is part of a long-term monitoring effort that will sample eight of 20 randomly located upland plots every year, so that each plot is visited for two consecutive years and then rested for three years, on a five-year rotating basis. Additionally, NGPN staff also visited …
U.S. Drought Monitor, January 27, 2015,
2015
National Drought Mitigation Center
U.S. Drought Monitor, January 27, 2015, Brian Fuchs
United States Agricultural Commodities in Drought Archive
Drought map of U.S. for January 27, 2015 (1/27/15) plus: U.S. crop areas experiencing drought (map), Approximate percentage of crop located in drought, by state (bar graph), Percent of crop area located in drought, past 52 weeks (line graph) for: Corn, Soybeans, Hay, Cattle, Winter wheat.
U.S. Drought Monitor, January 20, 2015,
2015
NOAA/NWS/NCEP/CPC
U.S. Drought Monitor, January 20, 2015, Richard Tinker
United States Agricultural Commodities in Drought Archive
Drought map of U.S. for January 20, 2015 (1/20/15) plus: U.S. crop areas experiencing drought (map), Approximate percentage of crop located in drought, by state (bar graph), Percent of crop area located in drought, past 52 weeks (line graph) for: Corn, Soybeans, Hay, Cattle, Winter wheat.
