Literature DB >> 28877382

Incorporating fragmentation and non-native species into distribution models to inform fluvial fish conservation.

Andrew T Taylor1, Monica Papeş2, James M Long3.   

Abstract

Fluvial fishes face increased imperilment from anthropogenic activities, but the specific factors contributing most to range declines are often poorly understood. For example, the range of the fluvial-specialist shoal bass (Micropterus cataractae) continues to decrease, yet how perceived threats have contributed to range loss is largely unknown. We used species distribution models to determine which factors contributed most to shoal bass range loss. We estimated a potential distribution based on natural abiotic factors and a series of currently occupied distributions that incorporated variables characterizing land cover, non-native species, and river fragmentation intensity (no fragmentation, dams only, and dams and large impoundments). We allowed interspecific relationships between non-native congeners and shoal bass to vary across fragmentation intensities. Results from the potential distribution model estimated shoal bass presence throughout much of their native basin, whereas models of currently occupied distribution showed that range loss increased as fragmentation intensified. Response curves from models of currently occupied distribution indicated a potential interaction between fragmentation intensity and the relationship between shoal bass and non-native congeners, wherein non-natives may be favored at the highest fragmentation intensity. Response curves also suggested that >100 km of interconnected, free-flowing stream fragments were necessary to support shoal bass presence. Model evaluation, including an independent validation, suggested that models had favorable predictive and discriminative abilities. Similar approaches that use readily available, diverse, geospatial data sets may deliver insights into the biology and conservation needs of other fluvial species facing similar threats.
© 2017 Society for Conservation Biology.

Entities:  

Keywords:  Maxent; ecological niche model; fragmentación de paisajes fluviales; land use; lubina; modelo de distribución de especies; modelo de nicho ecológico; riverscape fragmentation; shoal bass; species distribution model; uso de suelo; 土地利用; 最大熵值法生态位模型 (Maxent 模型); 河流景观破碎化; 浅滩黑鲈; 物种分布模型; 生态位模型

Mesh:

Year:  2017        PMID: 28877382     DOI: 10.1111/cobi.13024

Source DB:  PubMed          Journal:  Conserv Biol        ISSN: 0888-8892            Impact factor:   6.560


  6 in total

1.  Species distribution models and empirical test: Comparing predictions with well-understood geographical distribution of Bothrops alternatus in Argentina.

Authors:  Juan A Sarquis; Maximiliano A Cristaldi; Vanesa Arzamendia; Gisela Bellini; Alejandro R Giraudo
Journal:  Ecol Evol       Date:  2018-10-02       Impact factor: 2.912

2.  Current and future climatic regions favourable for a globally introduced wild carnivore, the raccoon Procyon lotor.

Authors:  Vivien Louppe; Boris Leroy; Anthony Herrel; Géraldine Veron
Journal:  Sci Rep       Date:  2019-06-24       Impact factor: 4.379

3.  The globally invasive small Indian mongoose Urva auropunctata is likely to spread with climate change.

Authors:  Vivien Louppe; Boris Leroy; Anthony Herrel; Géraldine Veron
Journal:  Sci Rep       Date:  2020-05-04       Impact factor: 4.379

4.  Age and growth of stocked juvenile Shoal Bass in a tailwater: Environmental variation and accuracy of daily age estimates.

Authors:  James M Long; Michael J Porta
Journal:  PLoS One       Date:  2019-10-23       Impact factor: 3.240

5.  Spatial sampling bias and model complexity in stream-based species distribution models: A case study of Paddlefish (Polyodon spathula) in the Arkansas River basin, USA.

Authors:  Andrew T Taylor; Thomas Hafen; Colt T Holley; Alin González; James M Long
Journal:  Ecol Evol       Date:  2019-12-25       Impact factor: 2.912

6.  A comprehensive assessment of mangrove species and carbon stock on Pohnpei, Micronesia.

Authors:  Victoria L Woltz; Elitsa I Peneva-Reed; Zhiliang Zhu; Eric L Bullock; Richard A MacKenzie; Maybeleen Apwong; Ken W Krauss; Dean B Gesch
Journal:  PLoS One       Date:  2022-07-21       Impact factor: 3.752

  6 in total

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