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      Tri-Variate Relationships among Vegetation, Soil, and Topography along Gradients of Fluvial Biogeomorphic Succession

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          Abstract

          This research investigated how the strength of vegetation–soil–topography couplings varied along a gradient of biogeomorphic succession in two distinct fluvial systems: a forested river floodplain and a coastal salt marsh creek. The strength of couplings was quantified as tri-variance, which was calculated by correlating three singular axes, one each extracted using three-block partial least squares from vegetation, soil, and topography data blocks. Within each system, tri-variance was examined at low-, mid-, and high-elevation sites, which represented early-, intermediate-, and late-successional phases, respectively, and corresponded to differences in ongoing disturbance frequency and intensity. Both systems exhibited clearly increasing tri-variance from the early- to late-successional stages. The lowest-lying sites underwent frequent and intense hydrogeomorphic forcings that dynamically reworked soil substrates, restructured surface landforms, and controlled the colonization of plant species. Such conditions led vegetation, soil, and topography to show discrete, stochastic, and individualistic behaviors over space and time, resulting in a loose coupling among the three ecosystem components. In the highest-elevation sites, in contrast, disturbances that might disrupt the existing biotic–abiotic relationships were less common. Hence, ecological succession, soil-forming processes, and landform evolution occurred in tight conjunction with one another over a prolonged period, thereby strengthening couplings among them; namely, the three behaved in unity over space and time. We propose that the recurrence interval of physical disturbance is important to—and potentially serves as an indicator of—the intensity and mechanisms of vegetation–soil–topography feedbacks in fluvial biogeomorphic systems.

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          Basic principles and ecological consequences of changing water regimes: riparian plant communities.

          Recent research has emphasized the importance of riparian ecosystems as centers of biodiversity and links between terrestrial and aquatic systems. Riparian ecosystems also belong among the environments that are most disturbed by humans and are in need of restoration to maintain biodiversity and ecological integrity. To facilitate the completion of this task, researchers have an important function to communicate their knowledge to policy-makers and managers. This article presents some fundamental qualities of riparian systems, articulated as three basic principles. The basic principles proposed are: (1) The flow regime determines the successional evolution of riparian plant communities and ecological processes. (2) The riparian corridor serves as a pathway for redistribution of organic and inorganic material that influences plant communities along rivers. (3) The riparian system is a transition zone between land and water ecosystems and is disproportionately plant species-rich when compared to surrounding ecosystems. Translating these principles into management directives requires more information about how much water a river needs and when and how, i.e., flow variables described by magnitude, frequency, timing, duration, and rate of change. It also requires information about how various groups of organisms are affected by habitat fragmentation, especially in terms of their dispersal. Finally, it requires information about how effects of hydrologic alterations vary between different types of riparian systems and with the location within the watershed.
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            Cranial integration in Homo: singular warps analysis of the midsagittal plane in ontogeny and evolution.

            This study addresses some enduring issues of ontogenetic and evolutionary integration in the form of the hominid cranium. Our sample consists of 38 crania: 20 modern adult Homo sapiens, 14 sub-adult H. sapiens, and four archaic Homo. All specimens were CT-scanned except for two infant H. sapiens, who were imaged by MR instead. For each specimen 84 landmarks and semi-landmarks were located on the midsagittal plane and converted to Procrustes shape coordinates. Integration was quantified by the method of singular warps, a new geometric-statistical approach to visualizing correlations among regions. The two classic patterns of integration, evolutionary and ontogenetic, were jointly explored by comparing analyses of overlapping subsamples that span ranges of different hypothetical factors. Evolutionary integration is expressed in the subsample of 24 adult Homo, and ontogenetic integration in the subsample of 34 H. sapiens. In this data set, vault, cranial base, and face show striking and localized patterns of covariation over ontogeny, similar but not identical to the patterns seen over evolution. The principal differences between ontogeny and phylogeny pertain to the cranial base. There is also a component of cranial length to height ratio not reducible to either process. Our methodology allows a separation of these independent processes (and their impact on cranial shape) that conventional methods have not found.
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              How vegetation and sediment transport feedbacks drive landscape change in the everglades and wetlands worldwide.

              Mechanisms reported to promote landscape self-organization cannot explain vegetation patterning oriented parallel to flow. Recent catastrophic shifts in Everglades landscape pattern and ecological function highlight the need to understand the feedbacks governing these ecosystems. We modeled feedback between vegetation, hydrology, and sediment transport on the basis of a decade of experimentation. Results from more than 100 simulations showed that flows just sufficient to redistribute sediment from sparsely vegetated sloughs to dense ridges were needed for an equilibrium patterned landscape oriented parallel to flow. Surprisingly, although vegetation heterogeneity typically conveys resilience, in wetlands governed by flow/sediment feedbacks it indicates metastability, whereby the landscape is prone to catastrophic shifts. Substantial increases or decreases in flow relative to the equilibrium condition caused an expansion of emergent vegetation and loss of open-water areas that was unlikely to revert upon restoration of the equilibrium hydrology. Understanding these feedbacks is critical in forecasting wetland responses to changing conditions and designing management strategies that optimize ecosystem services, such as carbon sequestration or habitat provision. Our model and new sensitivity analysis techniques address these issues and make it newly apparent that simply returning flow to predrainage conditions in the Everglades may not be sufficient to restore historic landscape patterns and processes.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                20 September 2016
                2016
                : 11
                : 9
                : e0163223
                Affiliations
                [1 ]Biogeomorphology Research and Analysis Group, Department of Geography, University of Kentucky, Lexington, KY, 40506, United States of America
                [2 ]Department of Geography, University of South Carolina, Columbia, SC, 29208, United States of America
                University of California Davis, UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                • Conceptualization: DK JAK.

                • Data curation: DK JAK.

                • Formal analysis: DK.

                • Funding acquisition: DK JAK.

                • Investigation: DK JAK.

                • Methodology: DK JAK.

                • Project administration: DK JAK.

                • Resources: DK JAK.

                • Software: DK.

                • Supervision: DK JAK.

                • Validation: DK.

                • Visualization: DK JAK.

                • Writing – original draft: DK JAK.

                • Writing – review & editing: DK JAK.

                Article
                PONE-D-16-24609
                10.1371/journal.pone.0163223
                5029874
                27649497
                cd22c405-74eb-4fec-8db8-76d05eb7ec9f
                © 2016 Kim, Kupfer

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 19 June 2016
                : 6 September 2016
                Page count
                Figures: 4, Tables: 0, Pages: 18
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/100000088, Directorate for Social, Behavioral and Economic Sciences;
                Award ID: 0825753
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100007516, National Park Service;
                Award Recipient :
                This research was supported by the National Science Foundation (BCS-0825753) and the U.S. Department of the Interior National Park Service. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Ecology and Environmental Sciences
                Aquatic Environments
                Freshwater Environments
                Marshes
                Earth Sciences
                Marine and Aquatic Sciences
                Aquatic Environments
                Freshwater Environments
                Marshes
                Earth Sciences
                Geomorphology
                Topography
                Ecology and Environmental Sciences
                Soil Science
                Soil Ecology
                Earth Sciences
                Geomorphology
                Topography
                Landforms
                Biology and Life Sciences
                Organisms
                Plants
                Biology and Life Sciences
                Ecology
                Ecological Succession
                Ecology and Environmental Sciences
                Ecology
                Ecological Succession
                Earth Sciences
                Marine and Aquatic Sciences
                Bodies of Water
                Rivers
                Ecology and Environmental Sciences
                Aquatic Environments
                Freshwater Environments
                Rivers
                Earth Sciences
                Marine and Aquatic Sciences
                Aquatic Environments
                Freshwater Environments
                Rivers
                Earth Sciences
                Geomorphology
                Topography
                Landforms
                Landform Dynamics
                Custom metadata
                All data files are available in one of the Supporting Information files: S1 File.

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                Uncategorized

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