The value of long-term, community-based
monitoring of marine turtle nesting: a study in the
Lamu archipelago, Kenya
M IKE I. O LENDO ,G LADYS M. O KEMWA ,C OSMAS N. M UNGA ,L ILIAN K. M ULUPI
L ILY D. M WASI ,H ASSAN B. M OHAMED
M XOLISI S IBANDA and H ARRISON O. O NG ’ ANDA
Abstract Monitoring of nesting beaches is often the only
feasible and low-cost approach for assessing sea turtle popu-
lations. We investigated spatio-temporal patterns of sea tur-
tle nesting activity monitored over successive years in the
Lamu archipelago, Kenya. Community-based patrols were
conducted on stretches of beach clustered in five major
locations. A total of , nests were recorded: ,
(.%) green turtle Chelonia mydas nests, (.%) hawks-
bill Eretmochelys imbricata nests, (.%) olive ridley
Lepidochelys olivacea nests and (.%) unidentified
nests. Nesting occurred year-round, increasing during
March–July, when % of nests were recorded. A stable
trend in mean annual nesting densities was observed in all
locations. Mean clutch sizes were . ± SE eggs (range
–) for green turtles, ± SE eggs (range –)
for hawksbill turtles, and ± SE eggs (range –)
for olive ridley turtles. Curved carapace length for green tur-
tles was – cm, and mean annual incubation duration
was . ± SE . days. The mean incubation duration for
green turtle nests differed significantly between months
and seasons but not locations. The hatching success (pooled
data) was .% (n = ,) and was higher for in situ nests
(. ± SE .%) compared to relocated nests (. ± SE
.%). The results highlight the important contribution of
community-based monitoring in Kenya to sustaining the
sea turtle populations of the Western Indian Ocean region.
Keywords Clutch size, community-based monitoring,
green turtle, hatching success, hawksbill turtle, incubation
duration, sea turtles, Western Indian Ocean
Supplementary material for this article is available at https://
doi.org/./S
Introduction
S
urveys of nesting beaches are often the only feasible and
low-cost approach for assessing and monitoring sea tur-
tle populations over long time frames (Schroeder &
Murphy, ). Four species of sea turtles are known to
nest within the Western Indian Ocean region: the green tur-
tle Chelonia mydas, the hawksbill turtle Eretmochelys imbri-
cata, the olive ridley turtle Lepidochelys olivacea and the
loggerhead turtle Caretta caretta (Frazier, ; Bourjea
et al., ). All are on the IUCN Red list (IUCN, ):
the hawksbill is categorized as Critically Endangered, the
green turtle as Endangered, and the loggerhead and olive
ridley turtles as Vulnerable. Sea turtle populations in
Kenya are generally perceived to be declining (Wamukota
& Okemwa, ) because of poaching, loss of nesting
habitats, and bycatch in fishing gears (Frazier, ;
Okemwa et al., ; Wamukota & Okemwa, ).
Other factors include pollution from marine debris, preda-
tion, and disease (Frazier, ; Wamukoya et al., ;
Church & Palin, ).
The Lamu archipelago provides the most significant
nesting beaches for sea turtles along the Kenyan coast
(Frazier, ; Wamukoya et al., ; Church & Palin,
), and is estimated to support . % of reported
nests (Okemwa et al., ). In WWF initiated a
community-based sea turtle monitoring and conservation
programme in the Lamu archipelago in partnership with
the Kenya Wildlife Service and local communities.
Conservation strategies implemented include monitoring
of nesting activity and strandings on index beaches, nest re-
location, and flipper tagging, which was introduced in .
Long-term monitoring is crucial to provide insights into
sea turtle population dynamics and to evaluate the effective-
ness of conservation activities (Wallace et al., ). The use
of volunteers in monitoring is an essential aspect of
community-based sea turtle conservation (Frazier, ),
and has been successfully adapted in the Western Indian
Ocean region (Garnier et al., ; Humber et al., ).
There are a number of published studies describing long-
term trends in sea turtle nesting within the region (e.g.
Bourjea et al., , ; Lauret-Stepler et al., ; Allen
et al., ; Mortimer et al., ; Garnier et al., ; Nel
et al., ; Derville et al., ) but to our knowledge this
MIKE I. OLENDO,LILIAN K. MULUPI,LILY D. MWASI and HASSAN B. MOHAMED WWF
Coastal Kenya Programme, Lamu, Kenya
GLADYS M. OKEMWA (Corresponding author) and HARRISON O. ONG’ANDA Kenya
Marine and Fisheries Research Institute, Mombasa, Kenya
Email gokemwa@kmfri.co.ke
COSMAS N. MUNGA Department of Environment and Health Sciences, Marine
and Fisheries Programme, Technical University of Mombasa, Kenya
MXOLISI SIBANDA International Programmes Support, WWF-UK, Woking, UK
Received November . Revision requested January .
Accepted May . First published online August .
Oryx, 2019, 53(1), 71–80 © 2017 Fauna & Flora International doi:10.1017/S0030605317000771
https://www.cambridge.org/core/terms. https://doi.org/10.1017/S0030605317000771
Downloaded from https://www.cambridge.org/core. IP address: 54.82.56.168, on 07 Oct 2021 at 13:55:03, subject to the Cambridge Core terms of use, available at