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Network parameters quantify loss of assemblage structure in human-impacted lake ecosystems

Network parameters quantify loss of assemblage structure in human-impacted lake ecosystems
Network parameters quantify loss of assemblage structure in human-impacted lake ecosystems
Lake biodiversity is an incomplete indicator of exogenous forcing insofar as it ignores underlying deformations of community structure. Here we seek a proxy for deformation in a network of diatom assemblages comprising 452 species in 273 lakes across China. We test predictions from network theory that nodes of similar type will tend to self-organise in an unstressed system to a positively skewed frequency distribution of nodal degree. The empirical data reveal shifts in the frequency distributions of species associations across regions, from positive skew in lakes in west China with a history of low human impacts, to predominantly negative skew amongst lakes in highly disturbed regions in east China. Skew values relate strongly to nutrient loading from agricultural activity and urbanisation, as measured by total phosphorus in lake water. Reconstructions through time show that positive skew reduces with temporal intensification of human impacts in the lake and surrounding catchments, and rises as lakes recover from disturbance. Our study illustrates how network parameters can track the loss of aquatic assemblage structure in lakes associated with human pressures.
1354-1013
3871-3882
Wang, Rong
266b2e44-43b0-4007-8106-dfb7f299f3d8
Dearing, John
dff37300-b8a6-4406-ad84-89aa01de03d7
Doncaster, Charles
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Yang, Xiangdong
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Zhang, Enlou
123d42a4-a8ec-432c-895a-26f9c1c675e3
Langdon, Peter
95b97671-f9fe-4884-aca6-9aa3cd1a6d7f
Yang, Hui
e5186fbb-da7e-4237-9910-a44dd5fe4c3d
Dong, Xuhui
d41abf4c-1566-44b7-9072-328f09457680
Hu, Zhujun
b9ea1376-4bc8-4bf7-bdb7-f93976038ae1
Xu, Min
54cc2f17-f40e-4477-86e6-42751e7dbff6
Zhao, Yanjie
84baf146-1a1f-46a7-9c03-66e5dfb68401
Shen, Ji
06352806-0b33-4185-8b0c-2a6d4460db40
Wang, Rong
266b2e44-43b0-4007-8106-dfb7f299f3d8
Dearing, John
dff37300-b8a6-4406-ad84-89aa01de03d7
Doncaster, Charles
0eff2f42-fa0a-4e35-b6ac-475ad3482047
Yang, Xiangdong
1b5ded9d-9403-43e8-be7d-6230b8ee6b61
Zhang, Enlou
123d42a4-a8ec-432c-895a-26f9c1c675e3
Langdon, Peter
95b97671-f9fe-4884-aca6-9aa3cd1a6d7f
Yang, Hui
e5186fbb-da7e-4237-9910-a44dd5fe4c3d
Dong, Xuhui
d41abf4c-1566-44b7-9072-328f09457680
Hu, Zhujun
b9ea1376-4bc8-4bf7-bdb7-f93976038ae1
Xu, Min
54cc2f17-f40e-4477-86e6-42751e7dbff6
Zhao, Yanjie
84baf146-1a1f-46a7-9c03-66e5dfb68401
Shen, Ji
06352806-0b33-4185-8b0c-2a6d4460db40

Wang, Rong, Dearing, John, Doncaster, Charles, Yang, Xiangdong, Zhang, Enlou, Langdon, Peter, Yang, Hui, Dong, Xuhui, Hu, Zhujun, Xu, Min, Zhao, Yanjie and Shen, Ji (2019) Network parameters quantify loss of assemblage structure in human-impacted lake ecosystems. Global Change Biology, 25 (11), 3871-3882. (doi:10.1111/gcb.14776).

Record type: Article

Abstract

Lake biodiversity is an incomplete indicator of exogenous forcing insofar as it ignores underlying deformations of community structure. Here we seek a proxy for deformation in a network of diatom assemblages comprising 452 species in 273 lakes across China. We test predictions from network theory that nodes of similar type will tend to self-organise in an unstressed system to a positively skewed frequency distribution of nodal degree. The empirical data reveal shifts in the frequency distributions of species associations across regions, from positive skew in lakes in west China with a history of low human impacts, to predominantly negative skew amongst lakes in highly disturbed regions in east China. Skew values relate strongly to nutrient loading from agricultural activity and urbanisation, as measured by total phosphorus in lake water. Reconstructions through time show that positive skew reduces with temporal intensification of human impacts in the lake and surrounding catchments, and rises as lakes recover from disturbance. Our study illustrates how network parameters can track the loss of aquatic assemblage structure in lakes associated with human pressures.

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Wang et al main text-accepted - Accepted Manuscript
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Accepted/In Press date: 13 July 2019
e-pub ahead of print date: 25 July 2019

Identifiers

Local EPrints ID: 432553
URI: http://eprints.soton.ac.uk/id/eprint/432553
ISSN: 1354-1013
PURE UUID: b91ce10a-f1f1-4439-a3d0-272ce01188df
ORCID for John Dearing: ORCID iD orcid.org/0000-0002-1466-9640
ORCID for Charles Doncaster: ORCID iD orcid.org/0000-0001-9406-0693
ORCID for Peter Langdon: ORCID iD orcid.org/0000-0003-2724-2643
ORCID for Yanjie Zhao: ORCID iD orcid.org/0000-0001-9307-8138

Catalogue record

Date deposited: 18 Jul 2019 16:30
Last modified: 26 Nov 2021 06:13

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Contributors

Author: Rong Wang
Author: John Dearing ORCID iD
Author: Xiangdong Yang
Author: Enlou Zhang
Author: Peter Langdon ORCID iD
Author: Hui Yang
Author: Xuhui Dong
Author: Zhujun Hu
Author: Min Xu
Author: Yanjie Zhao ORCID iD
Author: Ji Shen

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