Abstract

The occurrence and behavior of spinner dolphins (Stenella longirostris subsp.) off Waiʻanae, Oʻahu are well-described, yet a data deficit on their abundance and trajectory hinders effective conservation. This study employed multi-state open robust design (MSORD) modelling to estimate seasonal dolphin abundance, apparent survival, and temporary emigration, and further-developed a method for age-structure quantification via unoccupied aerial system (UAS; drone) photogrammetry. Dolphin photo-identification and UAS data were collected between April 2021 and January 2023 off the Waiʻanae Coast. Abundance varied seasonally, ranging from 140 (± 36.8 SE) to 373 (± 60.0) individuals and was lowest during Winter. Apparent survival was high and constant (0.95 ± 0.02 SE) and temporary emigration was Markovian. Seasonal environmental variability and spinner dolphin reproductive biology may drive patterns of abundance and temporary emigration. A crude estimate of total abundance for spinner dolphins documented off Waiʻanae (N = 550) is comparable to a recent island-wide abundance estimate, suggesting that the Waiʻanae Coast is a candidate site for long-term monitoring of Oʻahu spinner dolphins. UAS data analysis showed that the total length of spinner dolphins can be effectively estimated by measurements of the blowhole to dorsal fin distance. As age-length growth curves do not exist for the subspecies of spinner dolphin in Hawaiʻi, age was estimated using a growth curve for a related subspecies. Additional life-history information about Hawaiian spinner dolphins will allow both the use of a more accurate growth curve, and an assessment of population health. This work provides the first systematic estimates of abundance and demographic parameters for spinner dolphins off Waiʻanae, imparting valuable information for monitoring and management decisions.

Alternate abstract:

Ua noiʻi maikaʻi ʻia nō ko ka naiʻa (Stenella longirostris) lehulehu a me ko lākou lawena i Waiʻanae ma Oʻahu, akā naʻe, nele ka mālama pono ʻana o nā naiʻa i ka ʻikepili ʻole i ka nui o ko lākou lehulehu a me ka hoʻoulu a hōʻemi ʻana i ko lākou heluna. Hoʻohana nō kēia noiʻi i ke kumu “multi-state open robust design (MSORD)” no ke koho ʻana i ko ka naiʻa heluna i kēlā me kēia kau, i ko lākou ō ʻana, a i ko lākou neʻe kūikawā ʻana. Hoʻokumu nō hoʻi kēia noiʻi i ke ʻano hana no ka holo manaʻo ʻana o ko lākou mau ʻano makahiki na ka helekopa uila mamao (UAS; drone). Ua ʻohi ʻia ka ʻikepili hōʻoia kiʻi a me ka ʻikepili UAS i ʻApelila i ka makahiki 2021 a hiki i Ianuali i ka makahiki 2023 ma ke kapa kai ʻo Waiʻanae. ʻOkoʻa ka heluna o ka lehulehu naiʻa i kēlā me kēia kau, mai 140 (± 36.8 SE) i 373 (± 60.0) a ʻoi aʻe ka emi i ka hoʻoilo. Nui a mau ke ola ʻana (0.95 ±0.02 SE) a he Markovian ka neʻe kūikawā ʻana. ʻO ke kumu o ka hanuʻu ʻana i ka heluna a me ka neʻe ʻana i ka wahi ʻokoʻa, ʻo ia paha ʻo ka lauwili ʻana i nā kau a me ke ʻano hoʻohānau ʻana o nā naiʻa. Like kekahi koho wale o ka heluna a pau o nā naiʻa ma Waiʻanae (N = 550) me ka heluna i koho hou ʻia ma ka mokupuni. No ia mea, ʻo ke kepa kai ʻO Waiʻanae paha kekahi wahi maikaʻi no ka nānā pono ʻana o ko Oʻahu mau naiʻa. Ua kuhikuhi nō ka ʻikepili helekopa uila mamao iā mākou, hiki ke koho pono i ka lōʻihi o ka naiʻa ma o ke ana ʻana i ka mamao o ka puhi i ke kualā (BHDF). Ma muli o ka ʻikepili ʻole o ka ulu ʻana i ka lāhui naiʻa ma Hawaiʻi, ua koho ʻia ka makahiki o lākou ma o ka ʻikepili no kekahi lehulehu naiʻa ʻokoʻa. I ka wā e hiki mai ana, na ka ʻike o ke ola ʻana o nā naiʻa ma Hawaiʻi e hoʻohana ʻia no ka ulu ʻana a me ke olakino o ka lehulehu naiʻa. Na kēia noiʻi e hāʻawi i nā koho mua loa o ka heluna a me nā ʻano kuhikuhi pono o ka lehulehu naiʻa ma Waiʻanae, e hoʻīli ana i ka ʻikepili waiwai no ka nānā pono ʻana, ka maopopo ʻana a me nā koho hoʻoponopono.

Details

Title
Abundance and Demographic Parameters of Spinner Dolphins (Stenella longirostris Subsp.) Off Oʻahu's Waiʻanae Coast
Author
McPherson, Liah  VIAFID ORCID Logo 
Publication year
2023
Publisher
ProQuest Dissertations & Theses
ISBN
9798381944846
Source type
Dissertation or Thesis
Language of publication
English
ProQuest document ID
2954787077
Copyright
Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works.