Literature DB >> 28029730

Historical foundations and future directions in macrosystems ecology.

Kevin C Rose1, Rose A Graves2, Winslow D Hansen2, Brian J Harvey3, Jiangxiao Qiu2, Stephen A Wood4, Carly Ziter2, Monica G Turner2.   

Abstract

Macrosystems ecology is an effort to understand ecological processes and interactions at the broadest spatial scales and has potential to help solve globally important social and ecological challenges. It is important to understand the intellectual legacies underpinning macrosystems ecology: How the subdiscipline fits within, builds upon, differs from and extends previous theories. We trace the rise of macrosystems ecology with respect to preceding theories and present a new hypothesis that integrates the multiple components of macrosystems theory. The spatio-temporal anthropogenic rescaling (STAR) hypothesis suggests that human activities are altering the scales of ecological processes, resulting in interactions at novel space-time scale combinations that are diverse and predictable. We articulate four predictions about how human actions are "expanding", "shrinking", "speeding up" and "slowing down" ecological processes and interactions, and thereby generating new scaling relationships for ecological patterns and processes. We provide examples of these rescaling processes and describe ecological consequences across terrestrial, freshwater and marine ecosystems. Rescaling depends in part on characteristics including connectivity, stability and heterogeneity. Our STAR hypothesis challenges traditional assumptions about how the spatial and temporal scales of processes and interactions operate in different types of ecosystems and provides a lens through which to understand macrosystem-scale environmental change.
© 2016 John Wiley & Sons Ltd/CNRS.

Entities:  

Keywords:  Hierarchy theory; landscape ecology; macrosystems ecology; space-time; spatio-temporal

Mesh:

Year:  2016        PMID: 28029730     DOI: 10.1111/ele.12717

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


  4 in total

1.  Drivers and spatial structure of abiotic and biotic properties of lakes, wetlands, and streams at the national scale.

Authors:  Katelyn King; Kendra Spence Cheruvelil; Amina Pollard
Journal:  Ecol Appl       Date:  2019-07-22       Impact factor: 6.105

2.  An empirical, hierarchical typology of tree species assemblages for assessing forest dynamics under global change scenarios.

Authors:  Jennifer K Costanza; John W Coulston; David N Wear
Journal:  PLoS One       Date:  2017-09-06       Impact factor: 3.240

3.  A scalable model of vegetation transitions using deep neural networks.

Authors:  Werner Rammer; Rupert Seidl
Journal:  Methods Ecol Evol       Date:  2019-03-21       Impact factor: 8.335

4.  Effective ecosystem monitoring requires a multi-scaled approach.

Authors:  Ben D Sparrow; Will Edwards; Samantha E M Munroe; Glenda M Wardle; Greg R Guerin; Jean-Francois Bastin; Beryl Morris; Rebekah Christensen; Stuart Phinn; Andrew J Lowe
Journal:  Biol Rev Camb Philos Soc       Date:  2020-07-09
  4 in total

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