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Understanding and anticipating chang...

Batt, Ryan D.

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Understanding and anticipating change in aquatic ecosystems.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Understanding and anticipating change in aquatic ecosystems./
Author:	Batt, Ryan D.
Description:	204 p.
Notes:	Source: Dissertation Abstracts International, Volume: 75-11(E), Section: B.
Contained By:	Dissertation Abstracts International75-11B(E).
Subject:	Biology, Ecology. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3629462
ISBN:	9781321064650

Understanding and anticipating change in aquatic ecosystems.
Batt, Ryan D.

Understanding and anticipating change in aquatic ecosystems. - 204 p.

Source: Dissertation Abstracts International, Volume: 75-11(E), Section: B.

Thesis (Ph.D.)--The University of Wisconsin - Madison, 2014.

Ecosystem change can be understood through many approaches, including mechanistic analyses of ecosystem processes, the study of generic indicators of approaching change, or using past observations to gauge the scale and frequency of extreme events. My dissertation focuses on aspects of these three approaches to understanding change in lake ecosystems.

ISBN: 9781321064650Subjects--Topical Terms:

1017726
Biology, Ecology.

Understanding and anticipating change in aquatic ecosystems.
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100 1 $a Batt, Ryan D. $3 3169045
245 1 0 $a Understanding and anticipating change in aquatic ecosystems.
300 $a 204 p.
500 $a Source: Dissertation Abstracts International, Volume: 75-11(E), Section: B.
500 $a Adviser: Stephen R. Carpenter.
502 $a Thesis (Ph.D.)--The University of Wisconsin - Madison, 2014.
520 $a Ecosystem change can be understood through many approaches, including mechanistic analyses of ecosystem processes, the study of generic indicators of approaching change, or using past observations to gauge the scale and frequency of extreme events. My dissertation focuses on aspects of these three approaches to understanding change in lake ecosystems.
520 $a Chapter 1: In many lakes, vertical profiles of chlorophyll and oxygen show a sharp peak in the metalimnion. We developed a model that uses a Kalman filter to reliably estimate metalimnetic metabolism from noisy high-frequency in situ oxygen time series.
520 $a Chapter 2: Ward Lake is a small, naturally productive lake that contains a variety of basal resources. Using stable isotopes and a Bayesian mixing model, we found that all resources contributed to at least one consumer, including macrophytes and metalimnetic phytoplankton.
520 $a Chapter 3: Latent resources may begin to support consumers when previously important resources become scarce, a mechanism which could stabilize food webs. In a whole-ecosystem experiment, we darkened Ward Lake with a blue dye (Aquashade), thereby reducing the abundance of primary producers in the lake. Phytoplankton continued to support a specialist copepod, but alternative resources began to support the other consumers, which illustrates an important role for latent resources.
520 $a Chapter 4: Regime shifts are a class of large ecosystem changes that are difficult to predict mechanistically. An approaching regime shift can be detected through statistical indicators of declining resilience, but this approach is impaired by the data-hungry nature of the statistics. We detected declining resilience in statistics computed from automated sensor data, highlighting a cost-effective and reliable means for monitoring ecosystem resilience.
520 $a Chapter 5: Ecosystems can be greatly affected by massive events that seem to occur without warning, and such events occur more often if a variable is fat-tailed. Tailedness is commonly assessed for abiotic events (e.g., floods or fires), but the tailedness of biological time series is largely unknown. We found that biological populations are among the most fat-tailed ecosystem variables. Recognizing the potential for biology to be fat-tailed may safeguard against undue surprise.
590 $a School code: 0262.
650 4 $a Biology, Ecology. $3 1017726
650 4 $a Environmental Sciences. $3 676987
650 4 $a Biology, Zoology. $3 1018632
690 $a 0329
690 $a 0768
690 $a 0472
710 2 $a The University of Wisconsin - Madison. $b Limnology & Marine Science. $3 3169046
773 0 $t Dissertation Abstracts International $g 75-11B(E).
790 $a 0262
791 $a Ph.D.
792 $a 2014
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3629462