東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Understanding the Role of Climate an...

Norton, Cynthia L.

FindBook

Google Book

Amazon

博客來

Understanding the Role of Climate and Socioeconomic Factors in Driving Irrigated Agriculture Dynamics in the Lower Colorado River Basin.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Understanding the Role of Climate and Socioeconomic Factors in Driving Irrigated Agriculture Dynamics in the Lower Colorado River Basin./
作者:	Norton, Cynthia L.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2019,
面頁冊數:	57 p.
附註:	Source: Masters Abstracts International, Volume: 80-12.
Contained By:	Masters Abstracts International80-12.
標題:	Agriculture. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13883965
ISBN:	9781392224595

Understanding the Role of Climate and Socioeconomic Factors in Driving Irrigated Agriculture Dynamics in the Lower Colorado River Basin.
Norton, Cynthia L.

Understanding the Role of Climate and Socioeconomic Factors in Driving Irrigated Agriculture Dynamics in the Lower Colorado River Basin. - Ann Arbor : ProQuest Dissertations & Theses, 2019 - 57 p.

Source: Masters Abstracts International, Volume: 80-12.

Thesis (M.S.)--The University of Arizona, 2019.

This item must not be sold to any third party vendors.

Understanding the dynamics of agriculture in relation to climate and socioeconomic variables such as market value is essential in assessing water use within a semi-arid basin. This study aims to improve understanding of the spatial and temporal variability of agriculture fallowing and crop productivity using satellite Normalized Difference Vegetation Index (NDVI), meteorological observations and socioeconomic data across two regions in Arizona: the Lower Colorado River Planning (LCRP) region in LCRP County and the Active Management Areas (PMAMA) in Maricopa County and Pinal County. A key difference between these regions is there access to water for irrigation: LCRP has 1st priority (senior) irrigation water access rights, whereas PMAMA has 3rd priority (junior) irrigation water access rights. Using Google Earth Engine, I produced annual extent of fallow and active croplands at high spatial resolution (30-m) from 2001-2017 by applying the Fallow-land Algorithm based on Neighborhood and Temporal Anomalies (FANTA) driven by 8-day normalized difference vegetation index (NDVI) for each region of interest. I then evaluated how factors including weather and market value have influenced management decisions for seasonal fallowing using statistical modeling. Results show that LCRP (with senior water rights) varied very little in agricultural extent from year to year (87 - 90% active) compared to PMAMA (77 - 84% active) potentially due to regional differences in growing season and water rights. Agricultural extent and productivity in both regions was found to be sensitive to biophysical factors, with LCRP most sensitive to aridity (R2=0.486) and PMAMA most sensitive to precipitation (R2=0.358). Finally, we found market value significantly increased regional climate sensitivity, such that agricultural productivity was highest when both biophysical constraints were low and market values were high. This research effort provides a framework and demonstrates the importance of separately analyzing patterns of agricultural extent and productivity, which I found to interact in complex ways with both biophysical (e.g., drought) and socioeconomic (e.g., market value) factors to explain year to year variability in total regional agricultural production.

ISBN: 9781392224595Subjects--Topical Terms:

518588
Agriculture.
Subjects--Index Terms:

Active crop extent

Understanding the Role of Climate and Socioeconomic Factors in Driving Irrigated Agriculture Dynamics in the Lower Colorado River Basin.
LDR:03601nmm a2200409 4500 001 2274412
005 20201202125014.5
008 220629s2019 ||||||||||||||||| ||eng d
020 $a 9781392224595
035 $a (MiAaPQ)AAI13883965
035 $a (MiAaPQ)arizona:17243
035 $a AAI13883965
040 $a MiAaPQ $c MiAaPQ
100 1 $a Norton, Cynthia L. $3 3551900
245 1 0 $a Understanding the Role of Climate and Socioeconomic Factors in Driving Irrigated Agriculture Dynamics in the Lower Colorado River Basin.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2019
300 $a 57 p.
500 $a Source: Masters Abstracts International, Volume: 80-12.
500 $a Publisher info.: Dissertation/Thesis.
500 $a Advisor: Smith, William K.
502 $a Thesis (M.S.)--The University of Arizona, 2019.
506 $a This item must not be sold to any third party vendors.
520 $a Understanding the dynamics of agriculture in relation to climate and socioeconomic variables such as market value is essential in assessing water use within a semi-arid basin. This study aims to improve understanding of the spatial and temporal variability of agriculture fallowing and crop productivity using satellite Normalized Difference Vegetation Index (NDVI), meteorological observations and socioeconomic data across two regions in Arizona: the Lower Colorado River Planning (LCRP) region in LCRP County and the Active Management Areas (PMAMA) in Maricopa County and Pinal County. A key difference between these regions is there access to water for irrigation: LCRP has 1st priority (senior) irrigation water access rights, whereas PMAMA has 3rd priority (junior) irrigation water access rights. Using Google Earth Engine, I produced annual extent of fallow and active croplands at high spatial resolution (30-m) from 2001-2017 by applying the Fallow-land Algorithm based on Neighborhood and Temporal Anomalies (FANTA) driven by 8-day normalized difference vegetation index (NDVI) for each region of interest. I then evaluated how factors including weather and market value have influenced management decisions for seasonal fallowing using statistical modeling. Results show that LCRP (with senior water rights) varied very little in agricultural extent from year to year (87 - 90% active) compared to PMAMA (77 - 84% active) potentially due to regional differences in growing season and water rights. Agricultural extent and productivity in both regions was found to be sensitive to biophysical factors, with LCRP most sensitive to aridity (R2=0.486) and PMAMA most sensitive to precipitation (R2=0.358). Finally, we found market value significantly increased regional climate sensitivity, such that agricultural productivity was highest when both biophysical constraints were low and market values were high. This research effort provides a framework and demonstrates the importance of separately analyzing patterns of agricultural extent and productivity, which I found to interact in complex ways with both biophysical (e.g., drought) and socioeconomic (e.g., market value) factors to explain year to year variability in total regional agricultural production.
590 $a School code: 0009.
650 4 $a Agriculture. $3 518588
650 4 $a Natural Resource Management. $3 676989
650 4 $a Water Resource Management. $3 1669219
650 4 $a Remote sensing. $3 535394
653 $a Active crop extent
653 $a Colorado River
653 $a Fallow fields
653 $a Normalized Difference Vegetation Index
653 $a Remote sensing
690 $a 0473
690 $a 0528
690 $a 0595
690 $a 0799
710 2 $a The University of Arizona. $b Natural Resources. $3 1020934
773 0 $t Masters Abstracts International $g 80-12.
790 $a 0009
791 $a M.S.
792 $a 2019
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13883965