Literature DB >> 23458322

Modelling dendritic ecological networks in space: an integrated network perspective.

Erin E Peterson1, Jay M Ver Hoef, Dan J Isaak, Jeffrey A Falke, Marie-Josée Fortin, Chris E Jordan, Kristina McNyset, Pascal Monestiez, Aaron S Ruesch, Aritra Sengupta, Nicholas Som, E Ashley Steel, David M Theobald, Christian E Torgersen, Seth J Wenger.   

Abstract

Dendritic ecological networks (DENs) are a unique form of ecological networks that exhibit a dendritic network topology (e.g. stream and cave networks or plant architecture). DENs have a dual spatial representation; as points within the network and as points in geographical space. Consequently, some analytical methods used to quantify relationships in other types of ecological networks, or in 2-D space, may be inadequate for studying the influence of structure and connectivity on ecological processes within DENs. We propose a conceptual taxonomy of network analysis methods that account for DEN characteristics to varying degrees and provide a synthesis of the different approaches within the context of stream ecology. Within this context, we summarise the key innovations of a new family of spatial statistical models that describe spatial relationships in DENs. Finally, we discuss how different network analyses may be combined to address more complex and novel research questions. While our main focus is streams, the taxonomy of network analyses is also relevant anywhere spatial patterns in both network and 2-D space can be used to explore the influence of multi-scale processes on biota and their habitat (e.g. plant morphology and pest infestation, or preferential migration along stream or road corridors).
© 2013 Blackwell Publishing Ltd/CNRS and Commonwealth of Australia.

Entities:  

Mesh:

Year:  2013        PMID: 23458322     DOI: 10.1111/ele.12084

Source DB:  PubMed          Journal:  Ecol Lett        ISSN: 1461-023X            Impact factor:   9.492


  24 in total

1.  Functional Process Zones Characterizing Aquatic Insect Communities in Streams of the Brazilian Cerrado.

Authors:  B S Godoy; J Simião-Ferreira; S Lodi; L G Oliveira
Journal:  Neotrop Entomol       Date:  2016-01-30       Impact factor: 1.434

2.  Variation in stream network relationships and geospatial predictions of watershed conductivity.

Authors:  Michael G McManus; Ellen D'Amico; Elizabeth M Smith; Robyn Polinsky; Jerry Ackerman; Kip Tyler
Journal:  Freshw Sci       Date:  2020-12-01       Impact factor: 2.034

3.  Manipulation of local environment produces different diversity outcomes depending on location within a river network.

Authors:  Brett M Tornwall; Christopher M Swan; Bryan L Brown
Journal:  Oecologia       Date:  2017-06-13       Impact factor: 3.225

4.  Network analysis reveals multiscale controls on streamwater chemistry.

Authors:  Kevin J McGuire; Christian E Torgersen; Gene E Likens; Donald C Buso; Winsor H Lowe; Scott W Bailey
Journal:  Proc Natl Acad Sci U S A       Date:  2014-04-21       Impact factor: 11.205

5.  Geometric indicators of population persistence in branching continuous-space networks.

Authors:  Jonathan Sarhad; Scott Manifold; Kurt E Anderson
Journal:  J Math Biol       Date:  2016-08-20       Impact factor: 2.259

6.  Temperature threshold models for benthic macroinvertebrates in Idaho wadeable streams and neighboring ecoregions.

Authors:  David C Richards; Gary Lester; John Pfeiffer; Jason Pappani
Journal:  Environ Monit Assess       Date:  2018-02-07       Impact factor: 2.513

7.  Longitudinal thermal heterogeneity in rivers and refugia for coldwater species: effects of scale and climate change.

Authors:  A H Fullerton; C E Torgersen; J J Lawler; E A Steel; J L Ebersole; S Y Lee
Journal:  Aquat Sci       Date:  2018-01-01       Impact factor: 2.744

8.  Characterizing spatial structure of sediment E. coli populations to inform sampling design.

Authors:  Gregory S Piorkowski; Rob C Jamieson; Lisbeth Truelstrup Hansen; Greg S Bezanson; Chris K Yost
Journal:  Environ Monit Assess       Date:  2014-01       Impact factor: 2.513

9.  Emergent dual scaling of riverine biodiversity.

Authors:  Akira Terui; Seoghyun Kim; Christine L Dolph; Taku Kadoya; Yusuke Miyazaki
Journal:  Proc Natl Acad Sci U S A       Date:  2021-11-23       Impact factor: 11.205

10.  Simulated juvenile salmon growth and phenology respond to altered thermal regimes and stream network shape.

Authors:  Aimee H Fullerton; Brian J Burke; Joshua J Lawler; Christian E Torgersen; Joseph L Ebersole; Scott G Leibowitz
Journal:  Ecosphere       Date:  2017-12-22       Impact factor: 3.171

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.