Data from: Top predators constrain mesopredator distributions

Top predators can suppress mesopredators by killing them, competing for resources and instilling fear, but it is unclear how suppression of mesopredators varies with the distribution and abundance of top predators at large spatial scales and among different ecological contexts. We suggest that suppr...

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Main Authors: Newsome, Thomas M., Greenville, Aaron C., Ćirović, Duško, Dickman, Christopher R., Johnson, Chris N., Krofel, Miha, Letnic, Mike, Ripple, William J., Ritchie, Euan G., Stoyanov, Stoyan, Wirsing, Aaron J.
Format: Dataset
Language:English
Published: Dryad 2018
Subjects:
geo
Online Access:https://doi.org/10.5061/dryad.h1m85
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spelling fttriple:oai:gotriple.eu:50|dedup_wf_001::a0809a5f8132ae61335452874654f1d5 2023-05-15T15:50:44+02:00 Data from: Top predators constrain mesopredator distributions Newsome, Thomas M. Greenville, Aaron C. Ćirović, Duško Dickman, Christopher R. Johnson, Chris N. Krofel, Miha Letnic, Mike Ripple, William J. Ritchie, Euan G. Stoyanov, Stoyan Wirsing, Aaron J. 2018-04-13 https://doi.org/10.5061/dryad.h1m85 en eng Dryad http://dx.doi.org/10.5061/dryad.h1m85 https://dx.doi.org/10.5061/dryad.h1m85 lic_creative-commons 10.5061/dryad.h1m85 oai:easy.dans.knaw.nl:easy-dataset:102232 oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:102232 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 re3data_____::r3d100000044 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 10|openaire____::081b82f96300b6a6e3d282bad31cb6e2 species distributions Anthropocene mesopredator release Canis dingo Canis aureus Canis latrans trophic cascade predation Canis lupus Vulpes vulpes Life sciences medicine and health care Competition North America Europe Australia envir geo Dataset https://vocabularies.coar-repositories.org/resource_types/c_ddb1/ 2018 fttriple https://doi.org/10.5061/dryad.h1m85 2023-01-22T16:51:52Z Top predators can suppress mesopredators by killing them, competing for resources and instilling fear, but it is unclear how suppression of mesopredators varies with the distribution and abundance of top predators at large spatial scales and among different ecological contexts. We suggest that suppression of mesopredators will be strongest where top predators occur at high densities over large areas. These conditions are more likely to occur in the core than on the margins of top predator ranges. We propose the Enemy Constraint Hypothesis, which predicts weakened top-down effects on mesopredators towards the edge of top predators’ ranges. Using bounty data from North America, Europe and Australia we show that the effects of top predators on mesopredators increase from the margin towards the core of their ranges, as predicted. Continuing global contraction of top predator ranges could promote further release of mesopredator populations, altering ecosystem structure and contributing to biodiversity loss. Top predator and mesopredator bounty dataTop predator and mesopredator bounty data, with all datasets scaled (z-scores). File contains bounty data from three continents (sum of all data obtained). North America data is from Saskatchewan, Canada (1982-2011). Europe data is from Bulgaria and Serbia (2000-2009). Australia data is from Queensland and is split into two zones east and west (1950-1951).pred_edge_data_scaledData.csv Dataset Canis lupus Unknown Canada Queensland
institution Open Polar
collection Unknown
op_collection_id fttriple
language English
topic species distributions
Anthropocene
mesopredator release
Canis dingo
Canis aureus
Canis latrans
trophic cascade
predation
Canis lupus
Vulpes vulpes
Life sciences
medicine and health care
Competition
North America
Europe
Australia
envir
geo
spellingShingle species distributions
Anthropocene
mesopredator release
Canis dingo
Canis aureus
Canis latrans
trophic cascade
predation
Canis lupus
Vulpes vulpes
Life sciences
medicine and health care
Competition
North America
Europe
Australia
envir
geo
Newsome, Thomas M.
Greenville, Aaron C.
Ćirović, Duško
Dickman, Christopher R.
Johnson, Chris N.
Krofel, Miha
Letnic, Mike
Ripple, William J.
Ritchie, Euan G.
Stoyanov, Stoyan
Wirsing, Aaron J.
Data from: Top predators constrain mesopredator distributions
topic_facet species distributions
Anthropocene
mesopredator release
Canis dingo
Canis aureus
Canis latrans
trophic cascade
predation
Canis lupus
Vulpes vulpes
Life sciences
medicine and health care
Competition
North America
Europe
Australia
envir
geo
description Top predators can suppress mesopredators by killing them, competing for resources and instilling fear, but it is unclear how suppression of mesopredators varies with the distribution and abundance of top predators at large spatial scales and among different ecological contexts. We suggest that suppression of mesopredators will be strongest where top predators occur at high densities over large areas. These conditions are more likely to occur in the core than on the margins of top predator ranges. We propose the Enemy Constraint Hypothesis, which predicts weakened top-down effects on mesopredators towards the edge of top predators’ ranges. Using bounty data from North America, Europe and Australia we show that the effects of top predators on mesopredators increase from the margin towards the core of their ranges, as predicted. Continuing global contraction of top predator ranges could promote further release of mesopredator populations, altering ecosystem structure and contributing to biodiversity loss. Top predator and mesopredator bounty dataTop predator and mesopredator bounty data, with all datasets scaled (z-scores). File contains bounty data from three continents (sum of all data obtained). North America data is from Saskatchewan, Canada (1982-2011). Europe data is from Bulgaria and Serbia (2000-2009). Australia data is from Queensland and is split into two zones east and west (1950-1951).pred_edge_data_scaledData.csv
format Dataset
author Newsome, Thomas M.
Greenville, Aaron C.
Ćirović, Duško
Dickman, Christopher R.
Johnson, Chris N.
Krofel, Miha
Letnic, Mike
Ripple, William J.
Ritchie, Euan G.
Stoyanov, Stoyan
Wirsing, Aaron J.
author_facet Newsome, Thomas M.
Greenville, Aaron C.
Ćirović, Duško
Dickman, Christopher R.
Johnson, Chris N.
Krofel, Miha
Letnic, Mike
Ripple, William J.
Ritchie, Euan G.
Stoyanov, Stoyan
Wirsing, Aaron J.
author_sort Newsome, Thomas M.
title Data from: Top predators constrain mesopredator distributions
title_short Data from: Top predators constrain mesopredator distributions
title_full Data from: Top predators constrain mesopredator distributions
title_fullStr Data from: Top predators constrain mesopredator distributions
title_full_unstemmed Data from: Top predators constrain mesopredator distributions
title_sort data from: top predators constrain mesopredator distributions
publisher Dryad
publishDate 2018
url https://doi.org/10.5061/dryad.h1m85
geographic Canada
Queensland
geographic_facet Canada
Queensland
genre Canis lupus
genre_facet Canis lupus
op_source 10.5061/dryad.h1m85
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10|eurocrisdris::fe4903425d9040f680d8610d9079ea14
10|openaire____::081b82f96300b6a6e3d282bad31cb6e2
op_relation http://dx.doi.org/10.5061/dryad.h1m85
https://dx.doi.org/10.5061/dryad.h1m85
op_rights lic_creative-commons
op_doi https://doi.org/10.5061/dryad.h1m85
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