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Differences in drought sensitivity a...

Morrice, Jarrod J.

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Differences in drought sensitivity among prairie communities and among management histories: A remote sensing analysis of 221 prairies in the northern Great Plains .

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Differences in drought sensitivity among prairie communities and among management histories: A remote sensing analysis of 221 prairies in the northern Great Plains ./
Author:	Morrice, Jarrod J.
Description:	401 p.
Notes:	Source: Masters Abstracts International, Volume: 49-05, page: .
Contained By:	Masters Abstracts International49-05.
Subject:	Biology, Botany. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1491791
ISBN:	9781124612553

Differences in drought sensitivity among prairie communities and among management histories: A remote sensing analysis of 221 prairies in the northern Great Plains .
Morrice, Jarrod J.

Differences in drought sensitivity among prairie communities and among management histories: A remote sensing analysis of 221 prairies in the northern Great Plains . - 401 p.

Source: Masters Abstracts International, Volume: 49-05, page: .

Thesis (M.S.)--Michigan State University, 2011.

The relationship between primary production and precipitation in grasslands has long been an issue of great interest both to ecologists and managers who graze livestock and/or maintain conservation properties. Data from remote sensors are now obtained at higher spatial resolutions on a near daily basis providing new methods to explore broad scale relationships between grassland production and moisture availability. To promote remote sensing-based analysis of grasslands in North America, I developed the Prairie Spatial Database (PSD) for the northern Great Plains. To develop the PSD, I obtained geospatial coordinates and ecological data from conservation managers for 261 prairies. Sites were filtered for suitability for remote sensing studies, and 221 were selected for further analysis; representing a mix of shortgrass, mixedgrass, and tallgrass prairie types and different C3/C4 dominances. Using time series weather data (PRISM), I next derived Palmer's Drought Severity Index (PDSI) values and produced a time series of normalized difference vegetation index (NDVI) values for each site for 2000 - 2008 from the Moderate Resolution Imaging Spectroradiometer (MODIS). Mixed modeling techniques allowed me next to compare the influence of soil moisture on growing season time integrated NDVI (TINDVI) and maximum NDVI across prairie types. Selection of best-fit models highlighted the contingency of biomass production on soil moisture availability and a hidden relationship between TINDVI and soil moisture within tallgrass prairies.

ISBN: 9781124612553Subjects--Topical Terms:

1017825
Biology, Botany.

Differences in drought sensitivity among prairie communities and among management histories: A remote sensing analysis of 221 prairies in the northern Great Plains .
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020 $a 9781124612553
035 $a (UMI)AAI1491791
035 $a AAI1491791
040 $a UMI $c UMI
100 1 $a Morrice, Jarrod J. $3 1676586
245 1 0 $a Differences in drought sensitivity among prairie communities and among management histories: A remote sensing analysis of 221 prairies in the northern Great Plains .
300 $a 401 p.
500 $a Source: Masters Abstracts International, Volume: 49-05, page: .
500 $a Adviser: Carolyn M. Malmstrom.
502 $a Thesis (M.S.)--Michigan State University, 2011.
520 $a The relationship between primary production and precipitation in grasslands has long been an issue of great interest both to ecologists and managers who graze livestock and/or maintain conservation properties. Data from remote sensors are now obtained at higher spatial resolutions on a near daily basis providing new methods to explore broad scale relationships between grassland production and moisture availability. To promote remote sensing-based analysis of grasslands in North America, I developed the Prairie Spatial Database (PSD) for the northern Great Plains. To develop the PSD, I obtained geospatial coordinates and ecological data from conservation managers for 261 prairies. Sites were filtered for suitability for remote sensing studies, and 221 were selected for further analysis; representing a mix of shortgrass, mixedgrass, and tallgrass prairie types and different C3/C4 dominances. Using time series weather data (PRISM), I next derived Palmer's Drought Severity Index (PDSI) values and produced a time series of normalized difference vegetation index (NDVI) values for each site for 2000 - 2008 from the Moderate Resolution Imaging Spectroradiometer (MODIS). Mixed modeling techniques allowed me next to compare the influence of soil moisture on growing season time integrated NDVI (TINDVI) and maximum NDVI across prairie types. Selection of best-fit models highlighted the contingency of biomass production on soil moisture availability and a hidden relationship between TINDVI and soil moisture within tallgrass prairies.
590 $a School code: 0128.
650 4 $a Biology, Botany. $3 1017825
650 4 $a Biology, Ecology. $3 1017726
650 4 $a Remote Sensing. $3 1018559
690 $a 0309
690 $a 0329
690 $a 0799
710 2 $a Michigan State University. $b Plant Biology. $3 1676587
773 0 $t Masters Abstracts International $g 49-05.
790 1 0 $a Malmstrom, Carolyn M., $e advisor
790 1 0 $a Lusch, David $e committee member
790 1 0 $a Brudvig, Lars $e committee member
790 $a 0128
791 $a M.S.
792 $a 2011
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1491791