schliessen

Filtern

 

Bibliotheken

The potential and flux landscape theory of ecology.

The species in ecosystems are mutually interacting and self sustainable stable for a certain period. Stability and dynamics are crucial for understanding the structure and the function of ecosystems. We developed a potential and flux landscape theory of ecosystems to address these issues. We show th... Full description

Journal Title: PloS one 2014, Vol.9(1), p.e86746
Main Author: Xu, Li
Other Authors: Zhang, Feng , Zhang, Kun , Wang, Erkang , Wang, Jin
Format: Electronic Article Electronic Article
Language: English
Subjects:
ID: E-ISSN: 1932-6203 ; DOI: 10.1371/journal.pone.0086746
Link: http://search.proquest.com/docview/1499122655/?pq-origsite=primo
Zum Text:
SendSend as email Add to Book BagAdd to Book Bag
Staff View
recordid: proquest1499122655
title: The potential and flux landscape theory of ecology.
format: Article
creator:
  • Xu, Li
  • Zhang, Feng
  • Zhang, Kun
  • Wang, Erkang
  • Wang, Jin
subjects:
  • Algorithms
  • Animals
  • Computer Simulation
  • Ecology
  • Ecosystem
  • Population Dynamics
  • Predatory Behavior
  • Probability
  • Symbiosis
ispartof: PloS one, 2014, Vol.9(1), p.e86746
description: The species in ecosystems are mutually interacting and self sustainable stable for a certain period. Stability and dynamics are crucial for understanding the structure and the function of ecosystems. We developed a potential and flux landscape theory of ecosystems to address these issues. We show that the driving force of the ecological dynamics can be decomposed to the gradient of the potential landscape and the curl probability flux measuring the degree of the breaking down of the detailed balance (due to in or out flow of the energy to the ecosystems). We found that the underlying intrinsic potential landscape is a global Lyapunov function monotonically going down in time and the topology of the landscape provides a quantitative measure for the global stability of the ecosystems. We also quantified the intrinsic energy, the entropy, the free energy and constructed the non-equilibrium thermodynamics for the ecosystems. We studied several typical and important ecological systems: the predation, competition, mutualism and a realistic lynx-snowshoe hare model. Single attractor, multiple attractors and limit cycle attractors emerge from these studies. We studied the stability and robustness of the ecosystems against the perturbations in parameters and the environmental fluctuations. We also found that the kinetic paths between the multiple attractors do not follow the gradient paths of the underlying landscape and are irreversible because of the non-zero flux. This theory provides a novel way for exploring the global stability, function and the robustness of ecosystems.
language: eng
source:
identifier: E-ISSN: 1932-6203 ; DOI: 10.1371/journal.pone.0086746
fulltext: fulltext
issn:
  • 19326203
  • 1932-6203
url: Link


@attributes
ID1504063192
RANK0.07
NO1
SEARCH_ENGINEprimo_central_multiple_fe
SEARCH_ENGINE_TYPEPrimo Central Search Engine
LOCALfalse
PrimoNMBib
record
control
sourcerecordid1499122655
sourceidproquest
recordidTN_proquest1499122655
sourcesystemPC
pqid1499122655
galeid478832353
display
typearticle
titleThe potential and flux landscape theory of ecology.
creatorXu, Li ; Zhang, Feng ; Zhang, Kun ; Wang, Erkang ; Wang, Jin
contributorXu, Li (correspondence author) ; Xu, Li (record owner)
ispartofPloS one, 2014, Vol.9(1), p.e86746
identifierE-ISSN: 1932-6203 ; DOI: 10.1371/journal.pone.0086746
subjectAlgorithms ; Animals ; Computer Simulation ; Ecology ; Ecosystem ; Population Dynamics ; Predatory Behavior ; Probability ; Symbiosis
languageeng
source
descriptionThe species in ecosystems are mutually interacting and self sustainable stable for a certain period. Stability and dynamics are crucial for understanding the structure and the function of ecosystems. We developed a potential and flux landscape theory of ecosystems to address these issues. We show that the driving force of the ecological dynamics can be decomposed to the gradient of the potential landscape and the curl probability flux measuring the degree of the breaking down of the detailed balance (due to in or out flow of the energy to the ecosystems). We found that the underlying intrinsic potential landscape is a global Lyapunov function monotonically going down in time and the topology of the landscape provides a quantitative measure for the global stability of the ecosystems. We also quantified the intrinsic energy, the entropy, the free energy and constructed the non-equilibrium thermodynamics for the ecosystems. We studied several typical and important ecological systems: the predation, competition, mutualism and a realistic lynx-snowshoe hare model. Single attractor, multiple attractors and limit cycle attractors emerge from these studies. We studied the stability and robustness of the ecosystems against the perturbations in parameters and the environmental fluctuations. We also found that the kinetic paths between the multiple attractors do not follow the gradient paths of the underlying landscape and are irreversible because of the non-zero flux. This theory provides a novel way for exploring the global stability, function and the robustness of ecosystems.
version8
lds50peer_reviewed
links
openurl$$Topenurl_article
openurlfulltext$$Topenurlfull_article
backlink$$Uhttp://search.proquest.com/docview/1499122655/?pq-origsite=primo$$EView_record_in_ProQuest_(subscribers_only)
search
creatorcontrib
0Xu, Li
1Zhang, Feng
2Zhang, Kun
3Wang, Erkang
4Wang, Jin
titleThe potential and flux landscape theory of ecology.
subject
0Algorithms
1Animals
2Computer Simulation
3Ecology
4Ecosystem
5Population Dynamics
6Predatory Behavior
7Probability
8Symbiosis
general
0English
110.1371/journal.pone.0086746
2MEDLINE (ProQuest)
3ProQuest Biological Science Collection
4ProQuest Natural Science Collection
5ProQuest SciTech Collection
6Biological Science Database
7Natural Science Collection
8SciTech Premium Collection
9Health Research Premium Collection
10Health Research Premium Collection (Alumni edition)
11Biological Science Index (ProQuest)
sourceidproquest
recordidproquest1499122655
issn
019326203
11932-6203
rsrctypearticle
creationdate2014
addtitlePloS one
searchscope
01007527
11007944
21009130
310000004
410000038
510000050
610000120
710000159
810000238
910000253
1010000260
1110000270
1210000271
1310000302
1410000350
15proquest
scope
01007527
11007944
21009130
310000004
410000038
510000050
610000120
710000159
810000238
910000253
1010000260
1110000270
1210000271
1310000302
1410000350
15proquest
lsr43
01007527false
11007944false
21009130false
310000004false
410000038false
510000050false
610000120false
710000159false
810000238false
910000253false
1010000260false
1110000270false
1210000271false
1310000302false
1410000350false
contributorXu, Li
startdate20140101
enddate20140101
citationpf e86746 pt e86746 vol 9 issue 1
lsr30VSR-Enriched:[galeid, description, pqid]
sort
titleThe potential and flux landscape theory of ecology.
authorXu, Li ; Zhang, Feng ; Zhang, Kun ; Wang, Erkang ; Wang, Jin
creationdate20140101
lso0120140101
facets
frbrgroupid6853395675297409581
frbrtype5
newrecords20181218
languageeng
creationdate2014
topic
0Algorithms
1Animals
2Computer Simulation
3Ecology
4Ecosystem
5Population Dynamics
6Predatory Behavior
7Probability
8Symbiosis
collection
0MEDLINE (ProQuest)
1ProQuest Biological Science Collection
2ProQuest Natural Science Collection
3ProQuest SciTech Collection
4Biological Science Database
5Natural Science Collection
6SciTech Premium Collection
7Health Research Premium Collection
8Health Research Premium Collection (Alumni edition)
9Biological Science Index (ProQuest)
prefilterarticles
rsrctypearticles
creatorcontrib
0Xu, Li
1Zhang, Feng
2Zhang, Kun
3Wang, Erkang
4Wang, Jin
jtitlePloS one
toplevelpeer_reviewed
delivery
delcategoryRemote Search Resource
fulltextfulltext
addata
aulast
0Xu
1Zhang
2Wang
aufirst
0Li
1Feng
2Kun
3Erkang
4Jin
au
0Xu, Li
1Zhang, Feng
2Zhang, Kun
3Wang, Erkang
4Wang, Jin
addauXu, Li
atitleThe potential and flux landscape theory of ecology.
jtitlePloS one
risdate20140101
volume9
issue1
spagee86746
epagee86746
pagese86746
eissn1932-6203
formatjournal
genrearticle
ristypeJOUR
doi10.1371/journal.pone.0086746
urlhttp://search.proquest.com/docview/1499122655/
date2014-01-01