Tyler Clavelle

Tyler Clavelle

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Tyler Clavelle

Global Fishing Watch, Washington, DC, USA

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

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

Representative Publications

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4 November 2022 in Science Advances
Verified
Journal Article
Open access
HWHeather Welch
Heather Welch
TCTyler Clavelle
Tyler Clavelle
TWTimothy D. White
Timothy D. White
MCMegan A. Cimino
Megan A. Cimino
JOJennifer Van Osdel
Jennifer Van Osdel
EHElliott L. Hazen
Elliott L. Hazen
Illegal, unreported, and unregulated (IUU) fishing incurs an annual cost of up to US$25 billion in economic losses, results in substantial losses of aquatic life, and has been linked to human rights violations. Vessel tracking data from the automatic identification system (AIS) are powerful tools for combating IUU, yet AIS transponders can be disabled, reducing its efficacy as a surveillance tool. We present a global dataset of AIS disabling in commercial fisheries, which obscures up to 6% (>4.9 M hours) of vessel activity. Disabling hot spots were located near the exclusive economic zones (EEZs) of Argentina and West African nations and in the Northwest Pacific, all regions of IUU concern. Disabling was highest near transshipment hot spots and near EEZ boundaries, particularly contested ones. We also found links between disabling and location hiding from competitors and pirates. These inferences on where and why activities are obscured provide valuable information to improve fisheries management.

6 February 2019 in Fish and Fisheries
Verified
Journal Article
Closed access
PDF file
TCTyler Clavelle
Tyler Clavelle
SLSarah E. Lester
Sarah E. Lester
RGRebecca Gentry
Rebecca Gentry
HFHalley E. Froehlich
Halley E. Froehlich

22 November 2024 in Science
Verified
Journal Article
Closed access
ANAnna C. Nisi
Anna C. Nisi
HWHeather Welch
Heather Welch
SBStephanie Brodie
Stephanie Brodie
CLCallie Leiphardt
Callie Leiphardt
RRRachel Rhodes
Rachel Rhodes
BABriana Abrahms
Briana Abrahms
After the near-complete cessation of commercial whaling, ship collisions have emerged as a primary threat to large whales, but knowledge of collision risk is lacking across most of the world’s oceans. We compiled a dataset of 435,000 whale locations to generate global distribution models for four globally ranging species. We then combined >35 billion positions from 176,000 ships to produce a global estimate of whale-ship collision risk. Shipping occurs across 92% of whale ranges, and <7% of risk hotspots contain management strategies to reduce collisions. Full coverage of hotspots could be achieved by expanding management over only 2.6% of the ocean’s surface. These inferences support the continued recovery of large whales against the backdrop of a rapidly growing shipping industry.

16 March 2018 in Science
Verified
Journal Article
Closed access
PDF file
MBMatthew G. Burgess
Matthew G. Burgess
GMGrant R. McDermott
Grant R. McDermott
BOBrandon Owashi
Brandon Owashi
LRLindsey E. Peavey Reeves
Lindsey E. Peavey Reeves
TCTyler Clavelle
Tyler Clavelle
CCChristopher Costello
Christopher Costello
Healthy fisheries can reduce bycatch: Bycatch of marine mammals, turtles, and birds during commercial fishing is a considerable threat. Activities intended to reduce bycatch are often thought to conflict with commercial fishing. However, Burgess et al. show that in the majority of cases, managing fishery stocks to best promote long-term sustainability would also reduce bycatch. Rebuilding fish stocks will naturally promote lower bycatch, and these factors together will facilitate sustainable profit generation from fish harvest. Science , this issue p. 1255

8 March 2024 in Science Advances
Verified
Journal Article
Open access
HWHeather Welch
Heather Welch
TCTyler Clavelle
Tyler Clavelle
TWTimothy D. White
Timothy D. White
MCMegan A. Cimino
Megan A. Cimino
DKDavid Kroodsma
David Kroodsma
EHElliott L. Hazen
Elliott L. Hazen
Accurate assessments of human-wildlife risk associated with industrial fishing are critical for the conservation of marine top predators. Automatic Identification System (AIS) data provide a means of mapping fishing and estimating human-wildlife risk; however, risk can be obscured by gaps in the AIS record due to technical issues and intentional disabling. We assessed the extent to which unseen fishing vessel activity due to AIS gaps obscured estimates of overlap between fishing vessel activity and 14 marine predators including sharks, tunas, mammals, seabirds, and critically endangered leatherback turtles. Among vessels equipped with AIS in the northeast Pacific, up to 24% of total predator overlap with fishing vessel activity was unseen, and up to 36% was unseen for some individual species. Waters near 10°N had high unseen overlap with sharks yet low reported shark catch, revealing potential discrepancies in self-reported datasets. Accounting for unseen fishing vessel activity illuminates hidden human-wildlife risk, demonstrating challenges and solutions for transparent and sustainable marine fisheries.

1 September 2019 in Marine Policy
Verified
Journal Article
Closed access
ERElizabeth O. Ruff
Elizabeth O. Ruff
RGRebecca R. Gentry
Rebecca R. Gentry
TCTyler Clavelle
Tyler Clavelle
LTLennon R. Thomas
Lennon R. Thomas
SLSarah E. Lester
Sarah E. Lester