John A. Darling

Dr. John A. Darling


Research Focus & Metrics

Academic Career Length

28Years (1999-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 September 2007 in Trends in Ecology & Evolution
Verified
Journal Article
Closed access
JRJ Roman
J Roman
JDJohn A. Darling
John A. Darling

1 October 2011 in Environmental Research
Verified
Journal Article
Closed access
JDJohn A. Darling
John A. Darling
AMAndrew R. Mahon
Andrew R. Mahon

1 April 2014 in Trends in Ecology & Evolution
Verified
Journal Article
Closed access
MRMarc Rius
Marc Rius
JDJohn A. Darling
John A. Darling

2 October 2020 in Diversity and Distributions
Verified
Journal Article
Open access
SBSarah A. Bailey
Sarah A. Bailey
LBLyndsay Brown
Lyndsay Brown
MCMarnie L. Campbell
Marnie L. Campbell
JCJoão Canning-Clode
João Canning-Clode
JCJames T. Carlton
James T. Carlton
AZAibin Zhan
Aibin Zhan
Aim: The introduction of aquatic non‐indigenous species (ANS) has become a major driver for global changes in species biogeography. We examined spatial patterns and temporal trends of ANS detections since 1965 to inform conservation policy and management.Location: Global.Methods: We assembled an extensive dataset of first records of detection of ANS (1965–2015) across 49 aquatic ecosystems, including the (a) year of first collection, (b) population status and (c) potential pathway(s) of introduction. Data were analysed at global and regional levels to assess patterns of detection rate, richness and transport pathways.Results: An annual mean of 43 (±16 SD) primary detections of ANS occurred—one new detection every 8.4 days for 50 years. The global rate of detections was relatively stable during 1965–1995, but increased rapidly after this time, peaking at roughly 66 primary detections per year during 2005–2010 and then declining marginally. Detection rates were variable within and across regions through time. Arthropods, molluscs and fishes were the most frequently reported ANS. Most ANS were likely introduced as stowaways in ships’ ballast water or biofouling, although direct evidence is typically absent.Main conclusions: This synthesis highlights the magnitude of recent ANS detections, yet almost certainly represents an underestimate as many ANS go unreported due to limited search effort and diminishing taxonomic expertise. Temporal rates of detection are also confounded by reporting lags, likely contributing to the lower detection rate observed in recent years. There is a critical need to implement standardized, repeated methods across regions and taxa to improve the quality of global‐scale comparisons and sustain core measures over longer time‐scales. It will be fundamental to fill in knowledge gaps given that invasion data representing broad regions of the world's oceans are not yet readily available and to maintain knowledge pipelines for adaptive management.

20 November 2008 in Molecular Ecology
Verified
Journal Article
Closed access
PDF file
JDJohn A. Darling
John A. Darling
MBMark J. Bagley
Mark J. Bagley
JRJoe Roman
Joe Roman
CTCarolyn K. Tepolt
Carolyn K. Tepolt
JGJonathan B. Geller
Jonathan B. Geller

1 January 2010 in Annual Review of Marine Science
Verified
Journal Article
Closed access
JGJonathan B. Geller
Jonathan B. Geller
JDJohn A. Darling
John A. Darling
JCJames T. Carlton
James T. Carlton
The extent to which the geographic distributions of marine organisms have been reshaped by human activities remains underappreciated, and so does, consequently, the impact of invasive species on marine ecosystems. The application of molecular genetic data in fields such as population genetics, phylogeography, and evolutionary biology have improved our ability to make inferences regarding invasion histories. Genetic methods have helped to resolve longstanding questions regarding the cryptogenic status of marine species, facilitated recognition of cryptic marine biodiversity, and provided means to determine the sources of introduced marine populations and to begin to recover the patterns of anthropogenic reshuffling of the ocean's biota. These approaches stand to aid materially in the development of effective management strategies and sustainable science-based policies. Continued advancements in the statistical analysis of genetic data promise to overcome some existing limitations of current approaches. Still other limitations will be best addressed by concerted collaborative and multidisciplinary efforts that recognize the important synergy between understanding the extent of biological invasions and coming to a more complete picture of both modern-day and historical marine biogeography.