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

Characterizing riparian ecosystem co...

Baker, Matthew Elliott.

Linked to FindBook

Google Book

Amazon

博客來

Characterizing riparian ecosystem composition and structure in lower Michigan.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Characterizing riparian ecosystem composition and structure in lower Michigan./
Author:	Baker, Matthew Elliott.
Description:	214 p.
Notes:	Chair: Michael J. Wiley.
Contained By:	Dissertation Abstracts International63-07B
Subject:	Biology, Ecology -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3057891
ISBN:	0493732845

Characterizing riparian ecosystem composition and structure in lower Michigan.
Baker, Matthew Elliott.

Characterizing riparian ecosystem composition and structure in lower Michigan. - 214 p.

Chair: Michael J. Wiley.

Thesis (Ph.D.)--University of Michigan, 2002.

The ecology of river, lake, and wetland ecosystems is strongly affected by the routing of their source waters. Relative contributions of land surface runoff and groundwater help shape seasonal hydrography and physical conditions in rivers and riparian areas. As the interface between rivers and terrestrial landscapes, riparian ecosystems are uniquely situated to influence, and be influenced by, hydrologic variation. Sharpening predictions of surface and subsurface contributions to local riparian ecosystems across broad heterogeneous landscapes is a major challenge facing ecologists seeking to understand both watershed and riparian dynamics.

ISBN: 0493732845Subjects--Topical Terms:

1260331
Biology, Ecology

Characterizing riparian ecosystem composition and structure in lower Michigan.
LDR:03554nam 2200325 a 45 001 936662
005 20110510
008 110510s2002 eng d
020 $a 0493732845
035 $a (UnM)AAI3057891
035 $a AAI3057891
040 $a UnM $c UnM
100 1 $a Baker, Matthew Elliott. $3 1260464
245 1 0 $a Characterizing riparian ecosystem composition and structure in lower Michigan.
300 $a 214 p.
500 $a Chair: Michael J. Wiley.
500 $a Source: Dissertation Abstracts International, Volume: 63-07, Section: B, page: 3114.
502 $a Thesis (Ph.D.)--University of Michigan, 2002.
520 $a The ecology of river, lake, and wetland ecosystems is strongly affected by the routing of their source waters. Relative contributions of land surface runoff and groundwater help shape seasonal hydrography and physical conditions in rivers and riparian areas. As the interface between rivers and terrestrial landscapes, riparian ecosystems are uniquely situated to influence, and be influenced by, hydrologic variation. Sharpening predictions of surface and subsurface contributions to local riparian ecosystems across broad heterogeneous landscapes is a major challenge facing ecologists seeking to understand both watershed and riparian dynamics.
520 $a The primary objective of this research was to characterize the range and spatial variation of riparian ecotypes throughout Lower Michigan using readily available digital maps and an extensive inventory of riparian forests. Utilizing a terrain-based model of groundwater delivery and regression analysis, I accounted for significant proportions of variance in stream gauge baseflow yields (48–54%, N = 58), summer stream temperatures (23–40%, N = 171), and local groundwater accrual rates (59–65%, N = 48). Using network summaries of groundwater delivery and water table proximity to augment mapped agricultural and wetland information, I demonstrated that accounting for variation in riparian hydrology improved regressions of nutrient export across Lower Michigan (N = 290) between 6–20%
520 $a As a proxy for variation in riparian site conditions, I sampled forest composition from 94 locations to describe the range of riparian ecotypes and their spatial distribution. Based on direct and indirect ordinations as well as autecological interpretations of tree species occurrence, I developed a causal hypothesis of soil saturation and flood dynamics using macroclimate, local landscape, and catchment influences on hydrologic character using covariance structure analysis. The causal model exhibited an excellent fit with the observed data (χ<super>2</super> = 18.11, p = 0.382), accounted for nearly 65% of observed variation in the probability of correct riparian classification, and indicated that distinct hydrologic factors were important determinants of each riparian ecotype
520 $a Map-based models explained large portions of natural variation in the compositional and structural character of riparian areas. I therefore conclude that relatively simple, yet process-specific interpretations of existing spatial data sets have enormous potential for predicting complex, yet ecologically relevant hydrologic processes at the land-water interface
590 $a School code: 0127
650 $a Biology, Ecology $3 1260331
650 $a Environmental Sciences $3 1260465
650 $a Hydrology $v Congresses. $3 1243999
690 $a 032
690 $a 038
690 $a 076
710 2 $a University of Michigan $3 766772
773 0 $t Dissertation Abstracts International $g 63-07B
790 $a 012
790 1 $a Wiley, Michael J., $e adviso
791 $a Ph.D
792 $a 200
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3057891