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 到查詢結果 [ subject:"Natural resource management." ]

切換: 標籤 | MARC模式 | ISBD

Modeling the ecological consequences...

D'Antonio, Ashley L.

FindBook

Google Book

Amazon

博客來

Modeling the ecological consequences of visitor behavior in off-trail areas of dispersed recreation use.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Modeling the ecological consequences of visitor behavior in off-trail areas of dispersed recreation use./
作者:	D'Antonio, Ashley L.
面頁冊數:	221 p.
附註:	Source: Dissertation Abstracts International, Volume: 76-11(E), Section: A.
Contained By:	Dissertation Abstracts International76-11A(E).
標題:	Recreation. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3712225
ISBN:	9781321889086

Modeling the ecological consequences of visitor behavior in off-trail areas of dispersed recreation use.
D'Antonio, Ashley L.

Modeling the ecological consequences of visitor behavior in off-trail areas of dispersed recreation use. - 221 p.

Source: Dissertation Abstracts International, Volume: 76-11(E), Section: A.

Thesis (Ph.D.)--Utah State University, 2015.

Predicting the locations of ecological impacts in a park or protected area, which often results from recreation use, allows managers to be more proactive in their visitor use management. However, the relationships between visitor behavior, visitor use level, the current ecological community, and any resulting ecological consequences are not well understood. Managers are particularly concerned about visitor use in scenarios where visitors disperse off of hardened surfaces. In these off-trail areas there is greater potential for ecological change. This dissertation clarifies the roles of visitor behavior and visitor use levels as drivers of ecological change by developing a social-ecological model of off-trail use.

ISBN: 9781321889086Subjects--Topical Terms:

535376
Recreation.

Modeling the ecological consequences of visitor behavior in off-trail areas of dispersed recreation use.
LDR:03209nmm a2200301 4500 001 2073001
005 20160902113934.5
008 170521s2015 ||||||||||||||||| ||eng d
020 $a 9781321889086
035 $a (MiAaPQ)AAI3712225
035 $a AAI3712225
040 $a MiAaPQ $c MiAaPQ
100 1 $a D'Antonio, Ashley L. $3 1682180
245 1 0 $a Modeling the ecological consequences of visitor behavior in off-trail areas of dispersed recreation use.
300 $a 221 p.
500 $a Source: Dissertation Abstracts International, Volume: 76-11(E), Section: A.
500 $a Adviser: Christopher A. Monz.
502 $a Thesis (Ph.D.)--Utah State University, 2015.
520 $a Predicting the locations of ecological impacts in a park or protected area, which often results from recreation use, allows managers to be more proactive in their visitor use management. However, the relationships between visitor behavior, visitor use level, the current ecological community, and any resulting ecological consequences are not well understood. Managers are particularly concerned about visitor use in scenarios where visitors disperse off of hardened surfaces. In these off-trail areas there is greater potential for ecological change. This dissertation clarifies the roles of visitor behavior and visitor use levels as drivers of ecological change by developing a social-ecological model of off-trail use.
520 $a GPS-based tracking and vegetation survey data from a variety of national park and national forest recreation destinations were used to build these social-ecological models. Results show that visitor behavior is a more important driver of ecological change at certain types of recreation destinations than visitor use levels. When patterns of visitor behavior are combined with measures of the vegetation community at these destinations, the importance of behavior is further emphasized. At some types of recreation destinations, even in very susceptible vegetation communities and during periods of very high levels of use, visitors are behaving in ways that minimize the potential for ecological change.
520 $a In order to make the results from these static social-ecological models more predicative and representative of the total visitor use occurring at a recreation destination, a simulation modeling procedure is needed. Agent-based modeling (ABM) is a modeling approach well-suited for representing dynamic social-ecological systems. The GPS-based tracking data that was collected to measure visitor behavior provides ideal ABM inputs. The framework presented here represents a proof-of-concept for ABMs of off-trail use and explores the potential for ABM in examining other recreation use issues. Taken together, these findings inform the sustainable management of parks and protected areas by emphasizing that maintaining desired ecological conditions may require focusing management efforts more on visitor behavior and less on visitor use numbers.
590 $a School code: 0241.
650 4 $a Recreation. $3 535376
650 4 $a Natural resource management. $3 589570
690 $a 0814
690 $a 0528
710 2 $a Utah State University. $b Environment and Society. $3 1036082
773 0 $t Dissertation Abstracts International $g 76-11A(E).
790 $a 0241
791 $a Ph.D.
792 $a 2015
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3712225