東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Monitoring vegetation change by usin...

Kim, Min Kook.

Linked to FindBook

Google Book

Amazon

博客來

Monitoring vegetation change by using remote sensing: An examination of visitor-induced impact at Cadillac Mountain, Acadia National Park.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Monitoring vegetation change by using remote sensing: An examination of visitor-induced impact at Cadillac Mountain, Acadia National Park./
Author:	Kim, Min Kook.
Description:	276 p.
Notes:	Source: Dissertation Abstracts International, Volume: 71-08, Section: B, page: 4557.
Contained By:	Dissertation Abstracts International71-08B.
Subject:	Environmental Management. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3415476
ISBN:	9781124095400

Monitoring vegetation change by using remote sensing: An examination of visitor-induced impact at Cadillac Mountain, Acadia National Park.
Kim, Min Kook.

Monitoring vegetation change by using remote sensing: An examination of visitor-induced impact at Cadillac Mountain, Acadia National Park. - 276 p.

Source: Dissertation Abstracts International, Volume: 71-08, Section: B, page: 4557.

Thesis (Ph.D.)--The University of Maine, 2010.

Cadillac Mountain, the highest peak along the eastern seaboard in the United States, is a major visitor destination at Acadia National Park. Managing vegetation impact on the summit of Cadillac Mountain is extremely challenging given the number of users and dispersed nature of visitor use at this fragile environmental setting. Since 2000, more intensive management strategies based on placing physical barriers to protect threatened vegetation and leave no trace signs have been employed to reduce vegetation impact and enhance vegetation recovery in the vicinity of the summit loop trail. A number of different change detection techniques and high resolution remote sensing datasets were utilized to identify vegetation impact and recovery from 1979 to 2007. The detection of spatial pattern of vegetation impact and recovery was at a much larger scale than typical recreation ecology studies. Study results showed detailed measurable vegetation regrowth and reduction at distances up to 90 meters from the summit loop trail, indicating overall positive effects in enhancing vegetation recovery in the vicinity of the summit loop trail compared to a nearby control site with similar environmental conditions but no visitor use. As expected, the vegetation recovery was higher as one moved away from the trail itself, and recovery was observed at a higher rate in the intermediate zone where visitor disturbance and ability for sites to regenerate would be higher than more natural variation of regrowth in the outer buffer zone with less visitor activity. It should be noted that overall minimal gains in vegetation regrowth was observed from 2001 to 2007, but compared with the time period of 1979 to 2001 there was more regrowth and less observed vegetation loss but total vegetation has not recovered to 1979 levels. The results also showed that, although with much less resolution than typical recreation ecology studies, vegetation diversity was lower at the experimental site at the level of plant family, suggesting limited success with enhancing vegetation diversity during the analysis time frame. Vegetation change detection using high resolution remote sensing datasets offers an approach for monitoring vegetation change dynamics and to some degree plant diversity, especially for a recreation setting in a sub-alpine environment with limited overstory vegetation such as the case at the summit of Cadillac Mountain. Remote sensing analysis could provide valuable baseline information for future visitor-induced impact monitoring programs and especially for dispersed recreation sites such as Cadillac Mountain.

ISBN: 9781124095400Subjects--Topical Terms:

893809
Environmental Management.

Monitoring vegetation change by using remote sensing: An examination of visitor-induced impact at Cadillac Mountain, Acadia National Park.
LDR:03611nam 2200301 4500 001 1397993
005 20110907152254.5
008 130515s2010 ||||||||||||||||| ||eng d
020 $a 9781124095400
035 $a (UMI)AAI3415476
035 $a AAI3415476
040 $a UMI $c UMI
100 1 $a Kim, Min Kook. $3 1676859
245 1 0 $a Monitoring vegetation change by using remote sensing: An examination of visitor-induced impact at Cadillac Mountain, Acadia National Park.
300 $a 276 p.
500 $a Source: Dissertation Abstracts International, Volume: 71-08, Section: B, page: 4557.
500 $a Adviser: John Daigle.
502 $a Thesis (Ph.D.)--The University of Maine, 2010.
520 $a Cadillac Mountain, the highest peak along the eastern seaboard in the United States, is a major visitor destination at Acadia National Park. Managing vegetation impact on the summit of Cadillac Mountain is extremely challenging given the number of users and dispersed nature of visitor use at this fragile environmental setting. Since 2000, more intensive management strategies based on placing physical barriers to protect threatened vegetation and leave no trace signs have been employed to reduce vegetation impact and enhance vegetation recovery in the vicinity of the summit loop trail. A number of different change detection techniques and high resolution remote sensing datasets were utilized to identify vegetation impact and recovery from 1979 to 2007. The detection of spatial pattern of vegetation impact and recovery was at a much larger scale than typical recreation ecology studies. Study results showed detailed measurable vegetation regrowth and reduction at distances up to 90 meters from the summit loop trail, indicating overall positive effects in enhancing vegetation recovery in the vicinity of the summit loop trail compared to a nearby control site with similar environmental conditions but no visitor use. As expected, the vegetation recovery was higher as one moved away from the trail itself, and recovery was observed at a higher rate in the intermediate zone where visitor disturbance and ability for sites to regenerate would be higher than more natural variation of regrowth in the outer buffer zone with less visitor activity. It should be noted that overall minimal gains in vegetation regrowth was observed from 2001 to 2007, but compared with the time period of 1979 to 2001 there was more regrowth and less observed vegetation loss but total vegetation has not recovered to 1979 levels. The results also showed that, although with much less resolution than typical recreation ecology studies, vegetation diversity was lower at the experimental site at the level of plant family, suggesting limited success with enhancing vegetation diversity during the analysis time frame. Vegetation change detection using high resolution remote sensing datasets offers an approach for monitoring vegetation change dynamics and to some degree plant diversity, especially for a recreation setting in a sub-alpine environment with limited overstory vegetation such as the case at the summit of Cadillac Mountain. Remote sensing analysis could provide valuable baseline information for future visitor-induced impact monitoring programs and especially for dispersed recreation sites such as Cadillac Mountain.
590 $a School code: 0113.
650 4 $a Environmental Management. $3 893809
650 4 $a Agriculture, Forestry and Wildlife. $3 783690
650 4 $a Natural Resource Management. $3 676989
650 4 $a Remote Sensing. $3 1018559
690 $a 0474
690 $a 0478
690 $a 0528
690 $a 0799
710 2 $a The University of Maine. $3 1029373
773 0 $t Dissertation Abstracts International $g 71-08B.
790 1 0 $a Daigle, John, $e advisor
790 $a 0113
791 $a Ph.D.
792 $a 2010
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3415476