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The Land Capability Potential Index:...

Struckhoff, Matthew A.

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The Land Capability Potential Index: A decision support tool for the management of Missouri River floodplain habitat.

Record Type:	Electronic resources : Monograph/item
Title/Author:	The Land Capability Potential Index: A decision support tool for the management of Missouri River floodplain habitat./
Author:	Struckhoff, Matthew A.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2015,
Description:	293 p.
Notes:	Source: Masters Abstracts International, Volume: 56-01.
Contained By:	Masters Abstracts International56-01(E).
Subject:	Ecology. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10182512
ISBN:	9781369308396

The Land Capability Potential Index: A decision support tool for the management of Missouri River floodplain habitat.
Struckhoff, Matthew A.

The Land Capability Potential Index: A decision support tool for the management of Missouri River floodplain habitat. - Ann Arbor : ProQuest Dissertations & Theses, 2015 - 293 p.

Source: Masters Abstracts International, Volume: 56-01.

Thesis (M.S.)--University of Missouri - Columbia, 2015.

The Land Capability Potential Index (LCPI) is a hydrogeomorphic model of potential flow-return interval and soil drainage developed as a decision support tool for the restoration and management of floodplain habitat on the lower Missouri River (Chojnacki et al., 2012). Although intended to facilitate coarse-scale assessments of land capability for planning and acquisition purposes, the LCPI captures critical abiotic variables known to affect the distribution of plant species, implying that it may be applied at a variety of scales to anticipate the distribution of plant species and communities and to inform management of floodplain vegetation. The primary purpose of this thesis is to quantify relationships between LCPI flow-return and soil drainage classes and the distribution of plants species and communities on the Missouri River floodplain. Additionally, the following themes are explored: the theory behind the LCPI, landscape factors affecting the current distribution of LCPI classes, groundwater response to changes in river stage in relation to LCPI soil drainage classes, and the potential future distribution of LCPI flow-return intervals based on predicted flow changes resulting from global climate-change.

ISBN: 9781369308396Subjects--Topical Terms:

516476
Ecology.

The Land Capability Potential Index: A decision support tool for the management of Missouri River floodplain habitat.
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245 1 4 $a The Land Capability Potential Index: A decision support tool for the management of Missouri River floodplain habitat.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2015
300 $a 293 p.
500 $a Source: Masters Abstracts International, Volume: 56-01.
500 $a Adviser: Jason Hubbart.
502 $a Thesis (M.S.)--University of Missouri - Columbia, 2015.
520 $a The Land Capability Potential Index (LCPI) is a hydrogeomorphic model of potential flow-return interval and soil drainage developed as a decision support tool for the restoration and management of floodplain habitat on the lower Missouri River (Chojnacki et al., 2012). Although intended to facilitate coarse-scale assessments of land capability for planning and acquisition purposes, the LCPI captures critical abiotic variables known to affect the distribution of plant species, implying that it may be applied at a variety of scales to anticipate the distribution of plant species and communities and to inform management of floodplain vegetation. The primary purpose of this thesis is to quantify relationships between LCPI flow-return and soil drainage classes and the distribution of plants species and communities on the Missouri River floodplain. Additionally, the following themes are explored: the theory behind the LCPI, landscape factors affecting the current distribution of LCPI classes, groundwater response to changes in river stage in relation to LCPI soil drainage classes, and the potential future distribution of LCPI flow-return intervals based on predicted flow changes resulting from global climate-change.
520 $a The current distributions of flow-return intervals and soil drainage classes are explored in relation to Ecological Provinces (Bailey, 1976), river segments defined by geomorphologic characteristics (Jacobson et al., 2009) and major tributaries (Chojnacki et al., 2012), and near the mouths of major and minor tributaries. Results indicate strong and far-reaching effects of management of the Missouri River reservoir system, which results in a greater relative abundance of land with long flow-return intervals in upper portions of the river. Differences in LCPI class abundane at the ecological province level reflect these effects. Flow-return intervals tend to increase through incising sections and decrease through stable and aggrading section. Tributaries are associated with longer flow-return intervals in both ecological provinces, and with poorer soil draineage in the prairie province.
520 $a Future changes in LCPI class abundance resulting from climate change are modeled by adjusting water surface elevations for each flow-return interval based on predicted changes in discharge from the Climate Change Analysis for the Missouri River Basin (Gangopadhyay et al., 2012). Results indicate a shift toward wetter conditions throughout the area modeled by the LCPI, increasing opportunities to manage for wetland species. The relative area of lands where cottonwood forests tend to dominate are expected to decrease in most river sections. Finally, reductions in land area with long flow-return intervals suitable for late successional species are expected throughout the modeled area, but likely will be problematic only in river sections where long flow-return intervals are already scarce.
520 $a Groundwater response to flow pulses is compared between soil drainage classes using the Groundwater Response Factor (GWRF) (Kelly, 2000) at two sites in Missouri. Comparisons of mean values for maximum GWRF and lag time to maximum GWRF indicate that more poorly drained soils have reduced and slower responses to flow pulses than better drained soils. Additionally, comparisons of the duration of time that groundwater elevation exceeds 10, 25, and 50 percent of flow pulse magnitude indicate that poorly drained soils are less likely to experience elevated groundwater following flow pulses than better drained soils. These results are inconclusive, but collectively suggest that poorly drained soils are less likely to experience soil moisture recharge as a result of elevated groundwater following flow pulses. This effect may expose poorly drained sites to a broader range of soil moisture conditions and affect plant species' distributions.
520 $a Relationships between naturally-occurring floodplain vegetation and LCPI classes in a postagricultural setting are quantified using pre-existing plot data and contemporary vegetation community maps from 16 sites within the modeled area. Multivariate analyses indicate that LCPI classes often are more strongly correlated to the distribution of species than are other factors known to affect species distribution, including the distance to the river, roads, and levees. Chi-square analyses and analyses of variance on ranks indicate that the distributions of six exotic species (garlic mustard, Japanese hops, Johnson grass, reed canary grass, sweet clover, and velevetleaf) are significantly related to soil drainage, flow-return interval, or both. Five species groups representing herbaceous wetlands (sedges and smartweeds), early-successional woody communities (willows and cottonwood), and late-successional forests also exhibit significant relationships with LCPI classes that are consistent with the known life-history traits of constituent species. Similar analyses of mapped community distributions in relation to LCPI classes confirm the analyses of species abundance data and support the conclusion that the LCPI model is capturing abiotic variables relevant to the distribution and management of plant species and communities on the Missouri River floodplain.
590 $a School code: 0133.
650 4 $a Ecology. $3 516476
650 4 $a Botany. $3 516217
650 4 $a Natural resource management. $3 589570
650 4 $a Climate change. $2 bicssc $3 2079509
690 $a 0329
690 $a 0309
690 $a 0528
690 $a 0404
710 2 $a University of Missouri - Columbia. $3 1017522
773 0 $t Masters Abstracts International $g 56-01(E).
790 $a 0133
791 $a M.S.
792 $a 2015
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10182512