---
_id: '9121'
abstract:
- lang: eng
text: "We show that the energy gap for the BCS gap equation is\r\nΞ=μ(8e−2+o(1))exp(π2μ−−√a)\r\nin
the low density limit μ→0. Together with the similar result for the critical temperature
by Hainzl and Seiringer (Lett Math Phys 84: 99–107, 2008), this shows that, in
the low density limit, the ratio of the energy gap and critical temperature is
a universal constant independent of the interaction potential V. The results hold
for a class of potentials with negative scattering length a and no bound states."
acknowledgement: "Most of this work was done as part of the author’s master’s thesis.
The author would like to thank Jan Philip Solovej for his supervision of this process.\r\nOpen
Access funding provided by Institute of Science and Technology (IST Austria)"
article_number: '20'
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Asbjørn Bækgaard
full_name: Lauritsen, Asbjørn Bækgaard
id: e1a2682f-dc8d-11ea-abe3-81da9ac728f1
last_name: Lauritsen
orcid: 0000-0003-4476-2288
citation:
ama: Lauritsen AB. The BCS energy gap at low density. Letters in Mathematical
Physics. 2021;111. doi:10.1007/s11005-021-01358-5
apa: Lauritsen, A. B. (2021). The BCS energy gap at low density. Letters in Mathematical
Physics. Springer Nature. https://doi.org/10.1007/s11005-021-01358-5
chicago: Lauritsen, Asbjørn Bækgaard. “The BCS Energy Gap at Low Density.” Letters
in Mathematical Physics. Springer Nature, 2021. https://doi.org/10.1007/s11005-021-01358-5.
ieee: A. B. Lauritsen, “The BCS energy gap at low density,” Letters in Mathematical
Physics, vol. 111. Springer Nature, 2021.
ista: Lauritsen AB. 2021. The BCS energy gap at low density. Letters in Mathematical
Physics. 111, 20.
mla: Lauritsen, Asbjørn Bækgaard. “The BCS Energy Gap at Low Density.” Letters
in Mathematical Physics, vol. 111, 20, Springer Nature, 2021, doi:10.1007/s11005-021-01358-5.
short: A.B. Lauritsen, Letters in Mathematical Physics 111 (2021).
date_created: 2021-02-15T09:27:14Z
date_published: 2021-02-12T00:00:00Z
date_updated: 2023-09-05T15:17:16Z
day: '12'
ddc:
- '510'
department:
- _id: GradSch
doi: 10.1007/s11005-021-01358-5
external_id:
isi:
- '000617531900001'
file:
- access_level: open_access
checksum: eaf1b3ff5026f120f0929a5c417dc842
content_type: application/pdf
creator: dernst
date_created: 2021-02-15T09:31:07Z
date_updated: 2021-02-15T09:31:07Z
file_id: '9122'
file_name: 2021_LettersMathPhysics_Lauritsen.pdf
file_size: 329332
relation: main_file
success: 1
file_date_updated: 2021-02-15T09:31:07Z
has_accepted_license: '1'
intvolume: ' 111'
isi: 1
keyword:
- Mathematical Physics
- Statistical and Nonlinear Physics
language:
- iso: eng
month: '02'
oa: 1
oa_version: Published Version
project:
- _id: B67AFEDC-15C9-11EA-A837-991A96BB2854
name: IST Austria Open Access Fund
publication: Letters in Mathematical Physics
publication_identifier:
eissn:
- 1573-0530
issn:
- 0377-9017
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
status: public
title: The BCS energy gap at low density
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 111
year: '2021'
...
---
_id: '9234'
abstract:
- lang: eng
text: In this paper, we present two new inertial projection-type methods for solving
multivalued variational inequality problems in finite-dimensional spaces. We establish
the convergence of the sequence generated by these methods when the multivalued
mapping associated with the problem is only required to be locally bounded without
any monotonicity assumption. Furthermore, the inertial techniques that we employ
in this paper are quite different from the ones used in most papers. Moreover,
based on the weaker assumptions on the inertial factor in our methods, we derive
several special cases of our methods. Finally, we present some experimental results
to illustrate the profits that we gain by introducing the inertial extrapolation
steps.
acknowledgement: 'The authors sincerely thank the Editor-in-Chief and anonymous referees
for their careful reading, constructive comments and fruitful suggestions that help
improve the manuscript. The research of the first author is supported by the National
Research Foundation (NRF) South Africa (S& F-DSI/NRF Free Standing Postdoctoral
Fellowship; Grant Number: 120784). The first author also acknowledges the financial
support from DSI/NRF, South Africa Center of Excellence in Mathematical and Statistical
Sciences (CoE-MaSS) Postdoctoral Fellowship. The second author has received funding
from the European Research Council (ERC) under the European Union’s Seventh Framework
Program (FP7 - 2007-2013) (Grant agreement No. 616160). Open Access funding provided
by Institute of Science and Technology (IST Austria).'
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Chinedu
full_name: Izuchukwu, Chinedu
last_name: Izuchukwu
- first_name: Yekini
full_name: Shehu, Yekini
id: 3FC7CB58-F248-11E8-B48F-1D18A9856A87
last_name: Shehu
orcid: 0000-0001-9224-7139
citation:
ama: Izuchukwu C, Shehu Y. New inertial projection methods for solving multivalued
variational inequality problems beyond monotonicity. Networks and Spatial Economics.
2021;21(2):291-323. doi:10.1007/s11067-021-09517-w
apa: Izuchukwu, C., & Shehu, Y. (2021). New inertial projection methods for
solving multivalued variational inequality problems beyond monotonicity. Networks
and Spatial Economics. Springer Nature. https://doi.org/10.1007/s11067-021-09517-w
chicago: Izuchukwu, Chinedu, and Yekini Shehu. “New Inertial Projection Methods
for Solving Multivalued Variational Inequality Problems beyond Monotonicity.”
Networks and Spatial Economics. Springer Nature, 2021. https://doi.org/10.1007/s11067-021-09517-w.
ieee: C. Izuchukwu and Y. Shehu, “New inertial projection methods for solving multivalued
variational inequality problems beyond monotonicity,” Networks and Spatial
Economics, vol. 21, no. 2. Springer Nature, pp. 291–323, 2021.
ista: Izuchukwu C, Shehu Y. 2021. New inertial projection methods for solving multivalued
variational inequality problems beyond monotonicity. Networks and Spatial Economics.
21(2), 291–323.
mla: Izuchukwu, Chinedu, and Yekini Shehu. “New Inertial Projection Methods for
Solving Multivalued Variational Inequality Problems beyond Monotonicity.” Networks
and Spatial Economics, vol. 21, no. 2, Springer Nature, 2021, pp. 291–323,
doi:10.1007/s11067-021-09517-w.
short: C. Izuchukwu, Y. Shehu, Networks and Spatial Economics 21 (2021) 291–323.
date_created: 2021-03-10T12:18:47Z
date_published: 2021-06-01T00:00:00Z
date_updated: 2023-09-05T15:32:32Z
day: '01'
ddc:
- '510'
department:
- _id: VlKo
doi: 10.1007/s11067-021-09517-w
ec_funded: 1
external_id:
isi:
- '000625002100001'
file:
- access_level: open_access
checksum: 22b4253a2e5da843622a2df713784b4c
content_type: application/pdf
creator: kschuh
date_created: 2021-08-11T12:44:16Z
date_updated: 2021-08-11T12:44:16Z
file_id: '9884'
file_name: 2021_NetworksSpatialEconomics_Shehu.pdf
file_size: 834964
relation: main_file
success: 1
file_date_updated: 2021-08-11T12:44:16Z
has_accepted_license: '1'
intvolume: ' 21'
isi: 1
issue: '2'
keyword:
- Computer Networks and Communications
- Software
- Artificial Intelligence
language:
- iso: eng
month: '06'
oa: 1
oa_version: Published Version
page: 291-323
project:
- _id: 25FBA906-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '616160'
name: 'Discrete Optimization in Computer Vision: Theory and Practice'
- _id: B67AFEDC-15C9-11EA-A837-991A96BB2854
name: IST Austria Open Access Fund
publication: Networks and Spatial Economics
publication_identifier:
eissn:
- 1572-9427
issn:
- 1566-113X
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: New inertial projection methods for solving multivalued variational inequality
problems beyond monotonicity
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 21
year: '2021'
...
---
_id: '9111'
abstract:
- lang: eng
text: 'We study the probabilistic convergence between the mapper graph and the Reeb
graph of a topological space X equipped with a continuous function f:X→R. We first
give a categorification of the mapper graph and the Reeb graph by interpreting
them in terms of cosheaves and stratified covers of the real line R. We then introduce
a variant of the classic mapper graph of Singh et al. (in: Eurographics symposium
on point-based graphics, 2007), referred to as the enhanced mapper graph, and
demonstrate that such a construction approximates the Reeb graph of (X,f) when
it is applied to points randomly sampled from a probability density function concentrated
on (X,f). Our techniques are based on the interleaving distance of constructible
cosheaves and topological estimation via kernel density estimates. Following Munch
and Wang (In: 32nd international symposium on computational geometry, volume 51
of Leibniz international proceedings in informatics (LIPIcs), Dagstuhl, Germany,
pp 53:1–53:16, 2016), we first show that the mapper graph of (X,f), a constructible
R-space (with a fixed open cover), approximates the Reeb graph of the same space.
We then construct an isomorphism between the mapper of (X,f) to the mapper of
a super-level set of a probability density function concentrated on (X,f). Finally,
building on the approach of Bobrowski et al. (Bernoulli 23(1):288–328, 2017b),
we show that, with high probability, we can recover the mapper of the super-level
set given a sufficiently large sample. Our work is the first to consider the mapper
construction using the theory of cosheaves in a probabilistic setting. It is part
of an ongoing effort to combine sheaf theory, probability, and statistics, to
support topological data analysis with random data.'
acknowledgement: "AB was supported in part by the European Union’s Horizon 2020 research
and innovation\r\nprogramme under the Marie Sklodowska-Curie GrantAgreement No.
754411 and NSF IIS-1513616. OB was supported in part by the Israel Science Foundation,
Grant 1965/19. BW was supported in part by NSF IIS-1513616 and DBI-1661375. EM was
supported in part by NSF CMMI-1800466, DMS-1800446, and CCF-1907591.We would like
to thank the Institute for Mathematics and its Applications for hosting a workshop
titled Bridging Statistics and Sheaves in May 2018, where this work was conceived.\r\nOpen
Access funding provided by Institute of Science and Technology (IST Austria)."
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Adam
full_name: Brown, Adam
id: 70B7FDF6-608D-11E9-9333-8535E6697425
last_name: Brown
- first_name: Omer
full_name: Bobrowski, Omer
last_name: Bobrowski
- first_name: Elizabeth
full_name: Munch, Elizabeth
last_name: Munch
- first_name: Bei
full_name: Wang, Bei
last_name: Wang
citation:
ama: Brown A, Bobrowski O, Munch E, Wang B. Probabilistic convergence and stability
of random mapper graphs. Journal of Applied and Computational Topology.
2021;5(1):99-140. doi:10.1007/s41468-020-00063-x
apa: Brown, A., Bobrowski, O., Munch, E., & Wang, B. (2021). Probabilistic convergence
and stability of random mapper graphs. Journal of Applied and Computational
Topology. Springer Nature. https://doi.org/10.1007/s41468-020-00063-x
chicago: Brown, Adam, Omer Bobrowski, Elizabeth Munch, and Bei Wang. “Probabilistic
Convergence and Stability of Random Mapper Graphs.” Journal of Applied and
Computational Topology. Springer Nature, 2021. https://doi.org/10.1007/s41468-020-00063-x.
ieee: A. Brown, O. Bobrowski, E. Munch, and B. Wang, “Probabilistic convergence
and stability of random mapper graphs,” Journal of Applied and Computational
Topology, vol. 5, no. 1. Springer Nature, pp. 99–140, 2021.
ista: Brown A, Bobrowski O, Munch E, Wang B. 2021. Probabilistic convergence and
stability of random mapper graphs. Journal of Applied and Computational Topology.
5(1), 99–140.
mla: Brown, Adam, et al. “Probabilistic Convergence and Stability of Random Mapper
Graphs.” Journal of Applied and Computational Topology, vol. 5, no. 1,
Springer Nature, 2021, pp. 99–140, doi:10.1007/s41468-020-00063-x.
short: A. Brown, O. Bobrowski, E. Munch, B. Wang, Journal of Applied and Computational
Topology 5 (2021) 99–140.
date_created: 2021-02-11T14:41:02Z
date_published: 2021-03-01T00:00:00Z
date_updated: 2023-09-05T15:37:56Z
day: '01'
ddc:
- '510'
department:
- _id: HeEd
doi: 10.1007/s41468-020-00063-x
ec_funded: 1
external_id:
arxiv:
- '1909.03488'
file:
- access_level: open_access
checksum: 3f02e9d47c428484733da0f588a3c069
content_type: application/pdf
creator: dernst
date_created: 2021-02-11T14:43:59Z
date_updated: 2021-02-11T14:43:59Z
file_id: '9112'
file_name: 2020_JourApplCompTopology_Brown.pdf
file_size: 2090265
relation: main_file
success: 1
file_date_updated: 2021-02-11T14:43:59Z
has_accepted_license: '1'
intvolume: ' 5'
issue: '1'
language:
- iso: eng
month: '03'
oa: 1
oa_version: Published Version
page: 99-140
project:
- _id: 260C2330-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '754411'
name: ISTplus - Postdoctoral Fellowships
publication: Journal of Applied and Computational Topology
publication_identifier:
eissn:
- 2367-1734
issn:
- 2367-1726
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Probabilistic convergence and stability of random mapper graphs
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 5
year: '2021'
...
---
_id: '9252'
abstract:
- lang: eng
text: 'This paper analyses the conditions for local adaptation in a metapopulation
with infinitely many islands under a model of hard selection, where population
size depends on local fitness. Each island belongs to one of two distinct ecological
niches or habitats. Fitness is influenced by an additive trait which is under
habitat‐dependent directional selection. Our analysis is based on the diffusion
approximation and accounts for both genetic drift and demographic stochasticity.
By neglecting linkage disequilibria, it yields the joint distribution of allele
frequencies and population size on each island. We find that under hard selection,
the conditions for local adaptation in a rare habitat are more restrictive for
more polygenic traits: even moderate migration load per locus at very many loci
is sufficient for population sizes to decline. This further reduces the efficacy
of selection at individual loci due to increased drift and because smaller populations
are more prone to swamping due to migration, causing a positive feedback between
increasing maladaptation and declining population sizes. Our analysis also highlights
the importance of demographic stochasticity, which exacerbates the decline in
numbers of maladapted populations, leading to population collapse in the rare
habitat at significantly lower migration than predicted by deterministic arguments.'
acknowledgement: We thank the reviewers for their helpful comments, and also our colleagues,
for illuminating discussions over the long gestation of this paper.
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Eniko
full_name: Szep, Eniko
id: 485BB5A4-F248-11E8-B48F-1D18A9856A87
last_name: Szep
- first_name: Himani
full_name: Sachdeva, Himani
id: 42377A0A-F248-11E8-B48F-1D18A9856A87
last_name: Sachdeva
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
citation:
ama: 'Szep E, Sachdeva H, Barton NH. Polygenic local adaptation in metapopulations:
A stochastic eco‐evolutionary model. Evolution. 2021;75(5):1030-1045. doi:10.1111/evo.14210'
apa: 'Szep, E., Sachdeva, H., & Barton, N. H. (2021). Polygenic local adaptation
in metapopulations: A stochastic eco‐evolutionary model. Evolution. Wiley.
https://doi.org/10.1111/evo.14210'
chicago: 'Szep, Eniko, Himani Sachdeva, and Nicholas H Barton. “Polygenic Local
Adaptation in Metapopulations: A Stochastic Eco‐evolutionary Model.” Evolution.
Wiley, 2021. https://doi.org/10.1111/evo.14210.'
ieee: 'E. Szep, H. Sachdeva, and N. H. Barton, “Polygenic local adaptation in metapopulations:
A stochastic eco‐evolutionary model,” Evolution, vol. 75, no. 5. Wiley,
pp. 1030–1045, 2021.'
ista: 'Szep E, Sachdeva H, Barton NH. 2021. Polygenic local adaptation in metapopulations:
A stochastic eco‐evolutionary model. Evolution. 75(5), 1030–1045.'
mla: 'Szep, Eniko, et al. “Polygenic Local Adaptation in Metapopulations: A Stochastic
Eco‐evolutionary Model.” Evolution, vol. 75, no. 5, Wiley, 2021, pp. 1030–45,
doi:10.1111/evo.14210.'
short: E. Szep, H. Sachdeva, N.H. Barton, Evolution 75 (2021) 1030–1045.
date_created: 2021-03-20T08:22:10Z
date_published: 2021-05-01T00:00:00Z
date_updated: 2023-09-05T15:44:06Z
day: '01'
ddc:
- '570'
department:
- _id: NiBa
doi: 10.1111/evo.14210
external_id:
isi:
- '000636966300001'
file:
- access_level: open_access
checksum: b90fb5767d623602046fed03725e16ca
content_type: application/pdf
creator: kschuh
date_created: 2021-08-11T13:39:19Z
date_updated: 2021-08-11T13:39:19Z
file_id: '9886'
file_name: 2021_Evolution_Szep.pdf
file_size: 734102
relation: main_file
success: 1
file_date_updated: 2021-08-11T13:39:19Z
has_accepted_license: '1'
intvolume: ' 75'
isi: 1
issue: '5'
keyword:
- Genetics
- Ecology
- Evolution
- Behavior and Systematics
- General Agricultural and Biological Sciences
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc-nd/4.0/
month: '05'
oa: 1
oa_version: Published Version
page: 1030-1045
publication: Evolution
publication_identifier:
eissn:
- 1558-5646
issn:
- 0014-3820
publication_status: published
publisher: Wiley
quality_controlled: '1'
related_material:
record:
- id: '13062'
relation: research_data
status: public
scopus_import: '1'
status: public
title: 'Polygenic local adaptation in metapopulations: A stochastic eco‐evolutionary
model'
tmp:
image: /images/cc_by_nc_nd.png
legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
(CC BY-NC-ND 4.0)
short: CC BY-NC-ND (4.0)
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 75
year: '2021'
...
---
_id: '9374'
abstract:
- lang: eng
text: If there are no constraints on the process of speciation, then the number
of species might be expected to match the number of available niches and this
number might be indefinitely large. One possible constraint is the opportunity
for allopatric divergence. In 1981, Felsenstein used a simple and elegant model
to ask if there might also be genetic constraints. He showed that progress towards
speciation could be described by the build‐up of linkage disequilibrium among
divergently selected loci and between these loci and those contributing to other
forms of reproductive isolation. Therefore, speciation is opposed by recombination,
because it tends to break down linkage disequilibria. Felsenstein then introduced
a crucial distinction between “two‐allele” models, which are subject to this effect,
and “one‐allele” models, which are free from the recombination constraint. These
fundamentally important insights have been the foundation for both empirical and
theoretical studies of speciation ever since.
acknowledgement: RKB was funded by the Natural Environment Research Council (NE/P012272/1
& NE/P001610/1), the European Research Council (693030 BARRIERS), and the Swedish
Research Council (VR) (2018‐03695). MRS was funded by the National Science Foundation
(Grant No. DEB1939290).
article_processing_charge: No
article_type: original
author:
- first_name: Roger K.
full_name: Butlin, Roger K.
last_name: Butlin
- first_name: Maria R.
full_name: Servedio, Maria R.
last_name: Servedio
- first_name: Carole M.
full_name: Smadja, Carole M.
last_name: Smadja
- first_name: Claudia
full_name: Bank, Claudia
last_name: Bank
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
- first_name: Samuel M.
full_name: Flaxman, Samuel M.
last_name: Flaxman
- first_name: Tatiana
full_name: Giraud, Tatiana
last_name: Giraud
- first_name: Robin
full_name: Hopkins, Robin
last_name: Hopkins
- first_name: Erica L.
full_name: Larson, Erica L.
last_name: Larson
- first_name: Martine E.
full_name: Maan, Martine E.
last_name: Maan
- first_name: Joana
full_name: Meier, Joana
last_name: Meier
- first_name: Richard
full_name: Merrill, Richard
last_name: Merrill
- first_name: Mohamed A. F.
full_name: Noor, Mohamed A. F.
last_name: Noor
- first_name: Daniel
full_name: Ortiz‐Barrientos, Daniel
last_name: Ortiz‐Barrientos
- first_name: Anna
full_name: Qvarnström, Anna
last_name: Qvarnström
citation:
ama: Butlin RK, Servedio MR, Smadja CM, et al. Homage to Felsenstein 1981, or why
are there so few/many species? Evolution. 2021;75(5):978-988. doi:10.1111/evo.14235
apa: Butlin, R. K., Servedio, M. R., Smadja, C. M., Bank, C., Barton, N. H., Flaxman,
S. M., … Qvarnström, A. (2021). Homage to Felsenstein 1981, or why are there so
few/many species? Evolution. Wiley. https://doi.org/10.1111/evo.14235
chicago: Butlin, Roger K., Maria R. Servedio, Carole M. Smadja, Claudia Bank, Nicholas
H Barton, Samuel M. Flaxman, Tatiana Giraud, et al. “Homage to Felsenstein 1981,
or Why Are There so Few/Many Species?” Evolution. Wiley, 2021. https://doi.org/10.1111/evo.14235.
ieee: R. K. Butlin et al., “Homage to Felsenstein 1981, or why are there
so few/many species?,” Evolution, vol. 75, no. 5. Wiley, pp. 978–988, 2021.
ista: Butlin RK, Servedio MR, Smadja CM, Bank C, Barton NH, Flaxman SM, Giraud T,
Hopkins R, Larson EL, Maan ME, Meier J, Merrill R, Noor MAF, Ortiz‐Barrientos
D, Qvarnström A. 2021. Homage to Felsenstein 1981, or why are there so few/many
species? Evolution. 75(5), 978–988.
mla: Butlin, Roger K., et al. “Homage to Felsenstein 1981, or Why Are There so Few/Many
Species?” Evolution, vol. 75, no. 5, Wiley, 2021, pp. 978–88, doi:10.1111/evo.14235.
short: R.K. Butlin, M.R. Servedio, C.M. Smadja, C. Bank, N.H. Barton, S.M. Flaxman,
T. Giraud, R. Hopkins, E.L. Larson, M.E. Maan, J. Meier, R. Merrill, M.A.F. Noor,
D. Ortiz‐Barrientos, A. Qvarnström, Evolution 75 (2021) 978–988.
date_created: 2021-05-06T04:34:47Z
date_published: 2021-04-19T00:00:00Z
date_updated: 2023-09-05T15:44:33Z
day: '19'
department:
- _id: NiBa
doi: 10.1111/evo.14235
external_id:
isi:
- '000647224000001'
intvolume: ' 75'
isi: 1
issue: '5'
keyword:
- Genetics
- Ecology
- Evolution
- Behavior and Systematics
- General Agricultural and Biological Sciences
language:
- iso: eng
main_file_link:
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url: https://onlinelibrary.wiley.com/doi/10.1111/evo.14235
month: '04'
oa: 1
oa_version: Published Version
page: 978-988
publication: Evolution
publication_identifier:
eissn:
- 1558-5646
issn:
- 0014-3820
publication_status: published
publisher: Wiley
quality_controlled: '1'
status: public
title: Homage to Felsenstein 1981, or why are there so few/many species?
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 75
year: '2021'
...