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Assessing restoration success by predicting time to recovery—But by which metric?

Published on Feb 1, 2020in Journal of Applied Ecology5.782
· DOI :10.1111/1365-2664.13526
Knut Rydgren23
Estimated H-index: 23
,
Inger Auestad7
Estimated H-index: 7
+ 4 AuthorsJan Sulavik1
Estimated H-index: 1
(AMNH: American Museum of Natural History)
Abstract
  • References (47)
  • Citations (0)
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References47
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#1Charles B. Halpern (UW: University of Washington)H-Index: 35
#2Joseph A. Antos (UVic: University of Victoria)H-Index: 30
Last. Annette M. Olson (OSU: Oregon State University)H-Index: 6
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Woody‐plant encroachment represents a global threat to grasslands. Although the causes and consequences of this regime shift have received substantial attention, the processes that constrain reassembly of the grassland state remain poorly understood. We experimentally tested two potentially important controls on reassembly, the past influence of trees and the effects of fire, in conifer‐invaded grasslands (mountain meadows) of western Oregon. Previously, we had reconstructed the history of tree ...
1 CitationsSource
#1Cynthia C. Chang (UW: University of Washington)H-Index: 8
#2Charles B. Halpern (UW: University of Washington)H-Index: 35
Last. Donald B. Zobel (OSU: Oregon State University)H-Index: 18
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#1Knut RydgrenH-Index: 3
#2Rune Halvorsen (AMNH: American Museum of Natural History)H-Index: 20
Last. Jan Sulavik (AMNH: American Museum of Natural History)H-Index: 1
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#1Scott R. Abella (UNR: University of Nevada, Reno)H-Index: 23
Last. Timothy L. WaltersH-Index: 2
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To advance predictive ecology, the hypothesis of hierarchical predictability proposes that community measures for which species are interchangeable (e.g., structure and species richness) are more predictable than measures for which species identity matters (e.g., community composition). Predictability is hypothesized to decrease for response measures in order of the following categories: structure, species richness, function, and species composition. We tested this hypothesis using a 14-year, oa...
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#1Lars A. Brudvig (MSU: Michigan State University)H-Index: 24
#2Rebecca S. Barak (NU: Northwestern University)H-Index: 5
Last. Chad R. Zirbel (MSU: Michigan State University)H-Index: 5
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Summary Ecological restoration is a global priority that holds great potential for benefiting natural ecosystems, but restoration outcomes are notoriously unpredictable. Resolving this unpredictability represents a major, but critical challenge to the science of restoration ecology. In an effort to move restoration ecology toward a more predictive science, we consider the key issue of variability. Typically, restoration outcomes vary relative to goals (i.e. reference or desired future conditions...
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#1Lars A. Brudvig (MSU: Michigan State University)H-Index: 24
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#1Jennifer L. Funk (College of Science and Technology)H-Index: 24
#2Julie E. Larson (College of Science and Technology)H-Index: 3
Last. Justin P. Wright (Duke University)H-Index: 28
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One of ecology's grand challenges is developing general rules to explain and predict highly complex systems. Understanding and predicting ecological processes from species' traits has been considered a ‘Holy Grail’ in ecology. Plant functional traits are increasingly being used to develop mechanistic models that can predict how ecological communities will respond to abiotic and biotic perturbations and how species will affect ecosystem function and services in a rapidly changing world; however, ...
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#1Jeff E. Houlahan (UNB: University of New Brunswick)H-Index: 21
#2Shawn T. McKinney (UMaine: University of Maine)H-Index: 1
Last. Brian J. McGill (UMaine: University of Maine)H-Index: 41
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The objective of science is to understand the natural world; we argue that prediction is the only way to demonstrate scientific understanding, implying that prediction should be a fundamental aspect of all scientific disciplines. Reproducibility is an essential requirement of good science and arises from the ability to develop models that make accurate predictions on new data. Ecology, however, with a few exceptions, has abandoned prediction as a central focus and faces its own crisis of reprodu...
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#1Knut Rydgren (Sogn og Fjordane University College)H-Index: 3
#2Inger Auestad (Sogn og Fjordane University College)H-Index: 7
Last. Gudrun Skjerdal (Sogn og Fjordane University College)H-Index: 2
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Spoil heaps are the visible footprint of hydropower production, particularly in vulnerable alpine environments. Speeding up vegetation development by seeding commercial grass species has been a common restoration practice for the last 50 years, but we lack information on whether seeded species decline and allow native plant cover to develop. We visually estimated cover of native vascular plants and five seeded grass species (Agrostis capillaris, Festuca ovina, Festuca rubra, Schedonorus pratensi...
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