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פותח על ידי קלירמאש פתרונות בע"מ -
Quantifying competitive exclusion and competitive release in ecological communities: A conceptual framework and a case study
Year:
2016
Source of publication :
PLoS ONE
Authors :
הנקין, זלמן
;
.
Volume :
11
Co-Authors:
Segre, H., Department of Ecology, Evolution and Behavior, Hebrew University of Jerusalem, Givat Ram, Jerusalem, Israel
DeMalach, N., Department of Ecology, Evolution and Behavior, Hebrew University of Jerusalem, Givat Ram, Jerusalem, Israel
Henkin, Z., Beef Cattle Section, Newe-Ya'ar Research Center, Department of Natural Resources, Agricultural Research Organization, Ramat Yishay, Israel
Kadmon, R., Department of Ecology, Evolution and Behavior, Hebrew University of Jerusalem, Givat Ram, Jerusalem, Israel
Facilitators :
From page:
To page:
(
Total pages:
1
)
Abstract:
A fundamental notion in community ecology is that local species diversity reflects some balance between the contrasting forces of competitive exclusion and competitive release. Quantifying this balance is not trivial, and requires data on the magnitude of both processes in the same system, as well as appropriate methodology to integrate and interpret such data. Here we present a novel framework for empirical studies of the balance between competitive exclusion and competitive release and demonstrate its applicability using data from a Mediterranean annual grassland where grazing is a major mechanism of competitive release. Empirical data on the balance between competitive exclusion and competitive release are crucial for understanding observed patterns of variation in local species diversity and the proposed approach provides a simple framework for the collection, interpretation, and synthesis of such data. © 2016 Segre et al. 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.
Note:
Related Files :
biodiversity
conceptual framework
empiricism
grassland
Grazing
pastures / grazing
species diversity
Synthesis
עוד תגיות
תוכן קשור
More details
DOI :
10.1371/journal.pone.0160798
Article number:
Affiliations:
Database:
סקופוס
Publication Type:
מאמר
;
.
Language:
אנגלית
Editors' remarks:
ID:
31435
Last updated date:
02/03/2022 17:27
Creation date:
17/04/2018 01:02
Scientific Publication
Quantifying competitive exclusion and competitive release in ecological communities: A conceptual framework and a case study
11
Segre, H., Department of Ecology, Evolution and Behavior, Hebrew University of Jerusalem, Givat Ram, Jerusalem, Israel
DeMalach, N., Department of Ecology, Evolution and Behavior, Hebrew University of Jerusalem, Givat Ram, Jerusalem, Israel
Henkin, Z., Beef Cattle Section, Newe-Ya'ar Research Center, Department of Natural Resources, Agricultural Research Organization, Ramat Yishay, Israel
Kadmon, R., Department of Ecology, Evolution and Behavior, Hebrew University of Jerusalem, Givat Ram, Jerusalem, Israel
Quantifying competitive exclusion and competitive release in ecological communities: A conceptual framework and a case study
A fundamental notion in community ecology is that local species diversity reflects some balance between the contrasting forces of competitive exclusion and competitive release. Quantifying this balance is not trivial, and requires data on the magnitude of both processes in the same system, as well as appropriate methodology to integrate and interpret such data. Here we present a novel framework for empirical studies of the balance between competitive exclusion and competitive release and demonstrate its applicability using data from a Mediterranean annual grassland where grazing is a major mechanism of competitive release. Empirical data on the balance between competitive exclusion and competitive release are crucial for understanding observed patterns of variation in local species diversity and the proposed approach provides a simple framework for the collection, interpretation, and synthesis of such data. © 2016 Segre et al. 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.
Scientific Publication
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