語系:
繁體中文
English
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
Multi-scale functional mapping of ti...
~
University of California, Berkeley.
FindBook
Google Book
Amazon
博客來
Multi-scale functional mapping of tidal marsh vegetation for restoration monitoring.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Multi-scale functional mapping of tidal marsh vegetation for restoration monitoring./
作者:
Tuxen Bettman, Karin.
面頁冊數:
186 p.
附註:
Adviser: Maggi Kelly.
Contained By:
Dissertation Abstracts International68-08B.
標題:
Environmental Sciences. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3275633
ISBN:
9780549172642
Multi-scale functional mapping of tidal marsh vegetation for restoration monitoring.
Tuxen Bettman, Karin.
Multi-scale functional mapping of tidal marsh vegetation for restoration monitoring.
- 186 p.
Adviser: Maggi Kelly.
Thesis (Ph.D.)--University of California, Berkeley, 2007.
Nearly half of the world's natural wetlands have been destroyed or degraded, and in recent years, there have been significant endeavors to restore wetland habitat throughout the world. Detailed mapping of restoring wetlands can offer valuable information about changes in vegetation and geomorphology, which can inform the restoration process and ultimately help to improve chances of restoration success. I studied six tidal marshes in the San Francisco Estuary, CA, US, between 2003 and 2004 in order to develop techniques for mapping tidal marshes at multiple scales by incorporating specific restoration objectives for improved longer term monitoring. I explored a "pixel-based" remote sensing image analysis method for mapping vegetation in restored and natural tidal marshes, describing the benefits and limitations of this type of approach (Chapter 2). I also performed a multi-scale analysis of vegetation pattern metrics for a recently restored tidal marsh in order to target the metrics that are consistent across scales and will be robust measures of marsh vegetation change (Chapter 3). Finally, I performed an "object-based" image analysis using the same remotely sensed imagery, which maps vegetation type and specific wetland functions at multiple scales (Chapter 4). The combined results of my work highlight important trends and management implications for monitoring wetland restoration using remote sensing, and will better enable restoration ecologists to use remote sensing for tidal marsh monitoring. Several findings important for tidal marsh restoration monitoring were made. Overall results showed that pixel-based methods are effective at quantifying landscape changes in composition and diversity in recently restored marshes, but are limited in their use for quantifying smaller, more fine-scale changes. While pattern metrics can highlight small but important changes in vegetation composition and configuration across years, scientists should exercise caution when using metrics in their studies or to validate restoration management decisions, and multi-scale analyses should be performed before metrics are used in restoration science for important management decisions. Lastly, restoration objectives, ecosystem function, and scale can each be integrated into monitoring techniques using remote sensing for improved restoration monitoring.
ISBN: 9780549172642Subjects--Topical Terms:
676987
Environmental Sciences.
Multi-scale functional mapping of tidal marsh vegetation for restoration monitoring.
LDR
:03264nam 2200277 a 45
001
856131
005
20100708
008
100708s2007 eng d
020
$a
9780549172642
035
$a
(UMI)AAI3275633
035
$a
AAI3275633
040
$a
UMI
$c
UMI
100
1
$a
Tuxen Bettman, Karin.
$3
1022892
245
1 0
$a
Multi-scale functional mapping of tidal marsh vegetation for restoration monitoring.
300
$a
186 p.
500
$a
Adviser: Maggi Kelly.
500
$a
Source: Dissertation Abstracts International, Volume: 68-08, Section: B, page: 5104.
502
$a
Thesis (Ph.D.)--University of California, Berkeley, 2007.
520
$a
Nearly half of the world's natural wetlands have been destroyed or degraded, and in recent years, there have been significant endeavors to restore wetland habitat throughout the world. Detailed mapping of restoring wetlands can offer valuable information about changes in vegetation and geomorphology, which can inform the restoration process and ultimately help to improve chances of restoration success. I studied six tidal marshes in the San Francisco Estuary, CA, US, between 2003 and 2004 in order to develop techniques for mapping tidal marshes at multiple scales by incorporating specific restoration objectives for improved longer term monitoring. I explored a "pixel-based" remote sensing image analysis method for mapping vegetation in restored and natural tidal marshes, describing the benefits and limitations of this type of approach (Chapter 2). I also performed a multi-scale analysis of vegetation pattern metrics for a recently restored tidal marsh in order to target the metrics that are consistent across scales and will be robust measures of marsh vegetation change (Chapter 3). Finally, I performed an "object-based" image analysis using the same remotely sensed imagery, which maps vegetation type and specific wetland functions at multiple scales (Chapter 4). The combined results of my work highlight important trends and management implications for monitoring wetland restoration using remote sensing, and will better enable restoration ecologists to use remote sensing for tidal marsh monitoring. Several findings important for tidal marsh restoration monitoring were made. Overall results showed that pixel-based methods are effective at quantifying landscape changes in composition and diversity in recently restored marshes, but are limited in their use for quantifying smaller, more fine-scale changes. While pattern metrics can highlight small but important changes in vegetation composition and configuration across years, scientists should exercise caution when using metrics in their studies or to validate restoration management decisions, and multi-scale analyses should be performed before metrics are used in restoration science for important management decisions. Lastly, restoration objectives, ecosystem function, and scale can each be integrated into monitoring techniques using remote sensing for improved restoration monitoring.
590
$a
School code: 0028.
650
4
$a
Environmental Sciences.
$3
676987
650
4
$a
Remote Sensing.
$3
1018559
690
$a
0768
690
$a
0799
710
2 0
$a
University of California, Berkeley.
$3
687832
773
0
$t
Dissertation Abstracts International
$g
68-08B.
790
$a
0028
790
1 0
$a
Kelly, Maggi,
$e
advisor
791
$a
Ph.D.
792
$a
2007
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3275633
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9071466
電子資源
11.線上閱覽_V
電子書
EB W9071466
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入