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

Examining drivers of post-wildfire v...

Casady, Grant M.

FindBook

Google Book

Amazon

博客來

Examining drivers of post-wildfire vegetation dynamics across multiple scales using time-series remote sensing.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Examining drivers of post-wildfire vegetation dynamics across multiple scales using time-series remote sensing./
作者:	Casady, Grant M.
面頁冊數:	188 p.
附註:	Adviser: Stuart E. Marsh.
Contained By:	Dissertation Abstracts International69-04B.
標題:	Biology, Ecology. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3307365
ISBN:	9780549560890

Examining drivers of post-wildfire vegetation dynamics across multiple scales using time-series remote sensing.
Casady, Grant M.

Examining drivers of post-wildfire vegetation dynamics across multiple scales using time-series remote sensing. - 188 p.

Adviser: Stuart E. Marsh.

Thesis (Ph.D.)--The University of Arizona, 2008.

Ecosystem response to disturbance is a function of environmental factors interacting at a number of spatio-temporal scales. This research explored ecosystem response to wildfire as a function of local and broad-scale environmental factors using satellite based time-series remote sensing data. This topic was explored as a series of three independent but related studies.

ISBN: 9780549560890Subjects--Topical Terms:

1017726
Biology, Ecology.

Examining drivers of post-wildfire vegetation dynamics across multiple scales using time-series remote sensing.
LDR:03509nam 2200325 a 45 001 939985
005 20110517
008 110517s2008 ||||||||||||||||| ||eng d
020 $a 9780549560890
035 $a (UMI)AAI3307365
035 $a AAI3307365
040 $a UMI $c UMI
100 1 $a Casady, Grant M. $3 1264092
245 1 0 $a Examining drivers of post-wildfire vegetation dynamics across multiple scales using time-series remote sensing.
300 $a 188 p.
500 $a Adviser: Stuart E. Marsh.
500 $a Source: Dissertation Abstracts International, Volume: 69-04, Section: B, page: 2060.
502 $a Thesis (Ph.D.)--The University of Arizona, 2008.
520 $a Ecosystem response to disturbance is a function of environmental factors interacting at a number of spatio-temporal scales. This research explored ecosystem response to wildfire as a function of local and broad-scale environmental factors using satellite based time-series remote sensing data. This topic was explored as a series of three independent but related studies.
520 $a The first study focused on the evaluation of techniques for the analysis of time-series satellite data for describing post-fire vegetation trends at sites in the US, Spain, and Israel. Time-series data effectively described post-fire trends, and reference sites were valuable for differentiating between post-fire effects and other environmental factors. The use of phenological indicators derived from the time-series shows promise as a monitoring tool, but requires further investigation.
520 $a The next study evaluated the influence of broad-scale climate factors on rates of post-fire vegetation regeneration across the western US. Rates of post-fire regeneration were higher with increased precipitation and higher minimum temperatures. Changes in climate are likely to result in shifts in post-fire vegetation dynamics, leading to important feedbacks into the climate system. The use of time-series data was a valuable tool in measuring trends in post-fire vegetation across a large area and over an extended period.
520 $a The final study used time-series vegetation data to measure variations in post-fire vegetation response across an extensive 2002 wildfire. Regression tree analysis related post-fire regeneration to local environmental factors such as burn severity, soil properties, vegetation, and topography. Residuals from modeled rates of post-fire regeneration were evaluated in the context of management activities and site characteristics using expert knowledge. Post-fire rates of regeneration were a function of water availability, pre-burn vegetation, and burn severity. Management activities, soil differences, and shifts in vegetation community composition resulted in deviations from the modeled post-fire regeneration rates.
520 $a The results of these three research studies indicate that remotely sensed time-series vegetation data provide a useful tool for measuring post-fire vegetation dynamics. Both broad-scale and local environmental factors play important roles in defining post-fire vegetation response, and the use of remote sensing and geospatial data sets can be useful in integrating these factors and enhancing management decisions.
590 $a School code: 0009.
650 4 $a Biology, Ecology. $3 1017726
650 4 $a Remote Sensing. $3 1018559
690 $a 0329
690 $a 0799
710 2 $a The University of Arizona. $b Arid Lands Resource Sciences. $3 1264093
773 0 $t Dissertation Abstracts International $g 69-04B.
790 $a 0009
790 1 0 $a Marsh, Stuart E., $e advisor
791 $a Ph.D.
792 $a 2008
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3307365