Temporal development and collapse of an Arctic plant-pollinator network

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Temporal development and collapse of an Arctic plant-pollinator network. / Pradal, Clementine; Olesen, Jens M.; Wiuf, Carsten.

In: BMC Ecology, Vol. 9, 24, 01.12.2009.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Pradal, C, Olesen, JM & Wiuf, C 2009, 'Temporal development and collapse of an Arctic plant-pollinator network', BMC Ecology, vol. 9, 24. https://doi.org/10.1186/1472-6785-9-24

APA

Pradal, C., Olesen, J. M., & Wiuf, C. (2009). Temporal development and collapse of an Arctic plant-pollinator network. BMC Ecology, 9, [24]. https://doi.org/10.1186/1472-6785-9-24

Vancouver

Pradal C, Olesen JM, Wiuf C. Temporal development and collapse of an Arctic plant-pollinator network. BMC Ecology. 2009 Dec 1;9. 24. https://doi.org/10.1186/1472-6785-9-24

Author

Pradal, Clementine ; Olesen, Jens M. ; Wiuf, Carsten. / Temporal development and collapse of an Arctic plant-pollinator network. In: BMC Ecology. 2009 ; Vol. 9.

Bibtex

@article{07a97f277a1b45bf99d1ede6506c8f84,
title = "Temporal development and collapse of an Arctic plant-pollinator network",
abstract = "Background. The temporal dynamics and formation of plant-pollinator networks are difficult to study as it requires detailed observations of how the networks change over time. Understanding the temporal dynamics might provide insight into sustainability and robustness of the networks and how they react to environmental changes, such as global warming. Here we study an Arctic plant-pollinator network in two consecutive years using a simple mathematical model and describe the temporal dynamics (daily assembly and disassembly of links) by random mechanisms. Results. We develop a mathematical model with parameters governed by the probabilities for entering, leaving and making connections in the network and demonstrate that A. The dynamics is described by very similar parameters in both years despite a strong turnover in the composition of the pollinator community and different climate conditions, B. There is a drastic change in the temporal behaviour a few days before the end of the season in both years. This change leads to the collapse of the network and does not correlate with weather parameters, C. We estimate that the number of available pollinator species is about 80 species of which 75-80% are observed in each year, D. The network does not reach an equilibrium state (as defined by our model) before the collapse set in and the season is over. Conclusion. We have shown that the temporal dynamics of an Arctic plant-pollinator network can be described by a simple mathematical model and that the model allows us to draw biologically interesting conclusions. Our model makes it possible to investigate how the network topology changes with changes in parameter values and might provide means to study the effect of climate on plant-pollinator networks.",
author = "Clementine Pradal and Olesen, {Jens M.} and Carsten Wiuf",
year = "2009",
month = dec,
day = "1",
doi = "10.1186/1472-6785-9-24",
language = "English",
volume = "9",
journal = "BMC Ecology",
issn = "1472-6785",
publisher = "BioMed Central Ltd.",

}

RIS

TY - JOUR

T1 - Temporal development and collapse of an Arctic plant-pollinator network

AU - Pradal, Clementine

AU - Olesen, Jens M.

AU - Wiuf, Carsten

PY - 2009/12/1

Y1 - 2009/12/1

N2 - Background. The temporal dynamics and formation of plant-pollinator networks are difficult to study as it requires detailed observations of how the networks change over time. Understanding the temporal dynamics might provide insight into sustainability and robustness of the networks and how they react to environmental changes, such as global warming. Here we study an Arctic plant-pollinator network in two consecutive years using a simple mathematical model and describe the temporal dynamics (daily assembly and disassembly of links) by random mechanisms. Results. We develop a mathematical model with parameters governed by the probabilities for entering, leaving and making connections in the network and demonstrate that A. The dynamics is described by very similar parameters in both years despite a strong turnover in the composition of the pollinator community and different climate conditions, B. There is a drastic change in the temporal behaviour a few days before the end of the season in both years. This change leads to the collapse of the network and does not correlate with weather parameters, C. We estimate that the number of available pollinator species is about 80 species of which 75-80% are observed in each year, D. The network does not reach an equilibrium state (as defined by our model) before the collapse set in and the season is over. Conclusion. We have shown that the temporal dynamics of an Arctic plant-pollinator network can be described by a simple mathematical model and that the model allows us to draw biologically interesting conclusions. Our model makes it possible to investigate how the network topology changes with changes in parameter values and might provide means to study the effect of climate on plant-pollinator networks.

AB - Background. The temporal dynamics and formation of plant-pollinator networks are difficult to study as it requires detailed observations of how the networks change over time. Understanding the temporal dynamics might provide insight into sustainability and robustness of the networks and how they react to environmental changes, such as global warming. Here we study an Arctic plant-pollinator network in two consecutive years using a simple mathematical model and describe the temporal dynamics (daily assembly and disassembly of links) by random mechanisms. Results. We develop a mathematical model with parameters governed by the probabilities for entering, leaving and making connections in the network and demonstrate that A. The dynamics is described by very similar parameters in both years despite a strong turnover in the composition of the pollinator community and different climate conditions, B. There is a drastic change in the temporal behaviour a few days before the end of the season in both years. This change leads to the collapse of the network and does not correlate with weather parameters, C. We estimate that the number of available pollinator species is about 80 species of which 75-80% are observed in each year, D. The network does not reach an equilibrium state (as defined by our model) before the collapse set in and the season is over. Conclusion. We have shown that the temporal dynamics of an Arctic plant-pollinator network can be described by a simple mathematical model and that the model allows us to draw biologically interesting conclusions. Our model makes it possible to investigate how the network topology changes with changes in parameter values and might provide means to study the effect of climate on plant-pollinator networks.

UR - http://www.scopus.com/inward/record.url?scp=74049091808&partnerID=8YFLogxK

U2 - 10.1186/1472-6785-9-24

DO - 10.1186/1472-6785-9-24

M3 - Journal article

C2 - 19961607

AN - SCOPUS:74049091808

VL - 9

JO - BMC Ecology

JF - BMC Ecology

SN - 1472-6785

M1 - 24

ER -

ID: 203896903