Literature DB >> 32564461

Threshold responses of riverine fish communities to land use conversion across regions of the world.

Kai Chen1,2, Julian D Olden2.   

Abstract

The growing human enterprise has sparked greater interest in identifying ecological thresholds in land use conversion beyond which populations or communities demonstrate abrupt nonlinear or substantive change in species composition. Such knowledge remains fundamental to understanding ecosystem resilience to environmental degradation and informing land use planning into the future. Confronting this challenge has been largely limited to inferring thresholds in univariate metrics of species richness and indices of biotic integrity and has largely ignored how land use legacies of the past may shape community responses of today. By leveraging data for 13,069 riverine sites from temperate, subtropical, and boreal climate zones on four continents, we characterize patterns of community change along diverse gradients of urbanization and agricultural land use, and identity threshold values beyond which significant alterations in species composition exists. Our results demonstrate the apparent universality by which freshwater fish communities are sensitive to even low levels of watershed urbanization (range of threshold values: 1%-12%), but consistently higher (and more variable) levels of agricultural development (2%-37%). We demonstrated that fish community compositional thresholds occurred, in general, at lower levels of watershed urbanization and agriculture when compared to threshold responses in species richness. This supports the notion that aggregated taxon-specific responses may better reflect the complexity of assemblage responses to land use development. We further revealed that the ghost of land use past plays an important role in moderating how current-day fish communities respond to land use intensification. Subbasins of the United States experiencing greater rates of past land use change demonstrated higher current-day thresholds. Threshold responses of community composition, such as those identified in our study, illustrate the need for globally coordinated efforts to prioritize country-specific management and policy initiatives that ensure that freshwater fish diversity is not inevitably lost in the future.
© 2020 John Wiley & Sons Ltd.

Entities:  

Keywords:  agriculture; composition change; conservation; global scale; legacies; urbanization

Mesh:

Year:  2020        PMID: 32564461     DOI: 10.1111/gcb.15251

Source DB:  PubMed          Journal:  Glob Chang Biol        ISSN: 1354-1013            Impact factor:   10.863


  6 in total

1.  Assessing placement bias of the global river gauge network.

Authors:  Corey A Krabbenhoft; George H Allen; Peirong Lin; Sarah E Godsey; Daniel C Allen; Ryan M Burrows; Amanda G DelVecchia; Ken M Fritz; Margaret Shanafield; Amy J Burgin; Margaret A Zimmer; Thibault Datry; Walter K Dodds; C Nathan Jones; Meryl C Mims; Catherin Franklin; John C Hammond; Sam Zipper; Adam S Ward; Katie H Costigan; Hylke E Beck; Julian D Olden
Journal:  Nat Sustain       Date:  2022-04-25

2.  Climate and land-use changes interact to drive long-term reorganization of riverine fish communities globally.

Authors:  Lise Comte; Julian D Olden; Pablo A Tedesco; Albert Ruhi; Xingli Giam
Journal:  Proc Natl Acad Sci U S A       Date:  2021-07-06       Impact factor: 11.205

3.  Big data challenges in overcoming China's water and air pollution: relevant data and indicators.

Authors:  Bo Zhang; Robert M Hughes; Wayne S Davis; Cong Cao
Journal:  SN Appl Sci       Date:  2021-03-18

4.  Environmental DNA captures native and non-native fish community variations across the lentic and lotic systems of a megacity.

Authors:  Shan Zhang; Yitao Zheng; Aibin Zhan; Chunxia Dong; Jindong Zhao; Meng Yao
Journal:  Sci Adv       Date:  2022-02-11       Impact factor: 14.136

5.  Biotic Indicators for Ecological State Change in Amazonian Floodplains.

Authors:  Sandra Bibiana Correa; Peter van der Sleen; Sharmin F Siddiqui; Juan David Bogotá-Gregory; Caroline C Arantes; Adrian A Barnett; Thiago B A Couto; Michael Goulding; Elizabeth P Anderson
Journal:  Bioscience       Date:  2022-06-22       Impact factor: 11.566

6.  Evaluating the Relationships between Riparian Land Cover Characteristics and Biological Integrity of Streams Using Random Forest Algorithms.

Authors:  Se-Rin Park; Suyeon Kim; Sang-Woo Lee
Journal:  Int J Environ Res Public Health       Date:  2021-03-19       Impact factor: 3.390

  6 in total

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