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  1. Article: A treasure from the past: Former sperm whale distribution in Indonesian waters unveiled using distribution models and historical whaling data

    Sahri, Achmad / Putra, Mochamad I. H / Mustika, Putu L. K / Murk, Albertinka J

    Journal of biogeography. 2020 Oct., v. 47, no. 10

    2020  

    Abstract: AIM: This study is the first in Indonesia to assess historical sperm whale (Physeter macrocephalus) seasonal distributions by combining historical whaling data with environmental factors associated with sperm whale habitat preferences. As current records ...

    Abstract AIM: This study is the first in Indonesia to assess historical sperm whale (Physeter macrocephalus) seasonal distributions by combining historical whaling data with environmental factors associated with sperm whale habitat preferences. As current records of whale occurrence covering the whole of Indonesian waters are incomplete, we used historical whaling data summarized by Charles Haskins Townsend in 1935 to model its potential distribution for each season. LOCATION: Indonesian waters (92‐143E, 9N‐14S). TAXA: Sperm whale (P. macrocephalus). METHODS: We used a presence‐only habitat model – Maximum Entropy (Maxent) –, and a presence–pseudo‐absence method – generalized additive model (GAM) – with nine submerged topographic variables to predict historical seasonal distributions. RESULTS: Both Maxent and GAM predict similar potential distribution which align closely with the whaling data. The results indicate that in four areas in the eastern part of Indonesia, no seasonal differences occurred in sperm whale distribution, while noticeable seasonal differences were indicated in other areas. The key parameters that characterize sperm whale habitat in both models were distance to coast, distance to −1,000 and −5,000 m isobaths, and submarine key features such as trough and trench. MAIN CONCLUSIONS: The historical catch data of this species can be used to describe the historical species distribution and provide a baseline to assess present distribution, prioritize current research and monitoring and recommend future data collection. Our models also predict distributions that are significantly larger than the ones occupied by sperm whales nowadays, another example of a shifting baseline. Our study demonstrates the benefits of incorporating historical whaling data into habitat models for ecological investigation and to inform conservation efforts for cetaceans.
    Keywords Physeter macrocephalus ; biogeography ; coasts ; data collection ; geographical distribution ; habitats ; models ; spermatozoa ; topography ; whales ; Indonesia
    Language English
    Dates of publication 2020-10
    Size p. 2102-2116.
    Publishing place John Wiley & Sons, Ltd
    Document type Article
    Note NAL-AP-2-clean ; JOURNAL ARTICLE
    ZDB-ID 188963-1
    ISSN 0305-0270
    ISSN 0305-0270
    DOI 10.1111/jbi.13931
    Database NAL-Catalogue (AGRICOLA)

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  2. Article ; Online: A treasure from the past

    Sahri, Achmad / Putra, Mochamad I.H. / Mustika, Putu L.K. / Murk, Albertinka J.

    Journal of Biogeography

    Former sperm whale distribution in Indonesian waters unveiled using distribution models and historical whaling data

    2020  Volume 47, Issue 10

    Abstract: Aim: This study is the first in Indonesia to assess historical sperm whale (Physeter macrocephalus) seasonal distributions by combining historical whaling data with environmental factors associated with sperm whale habitat preferences. As current records ...

    Abstract Aim: This study is the first in Indonesia to assess historical sperm whale (Physeter macrocephalus) seasonal distributions by combining historical whaling data with environmental factors associated with sperm whale habitat preferences. As current records of whale occurrence covering the whole of Indonesian waters are incomplete, we used historical whaling data summarized by Charles Haskins Townsend in 1935 to model its potential distribution for each season. Location: Indonesian waters (92-143E, 9N-14S). Taxa: Sperm whale (P. macrocephalus). Methods: We used a presence-only habitat model – Maximum Entropy (Maxent) –, and a presence–pseudo-absence method – generalized additive model (GAM) – with nine submerged topographic variables to predict historical seasonal distributions. Results: Both Maxent and GAM predict similar potential distribution which align closely with the whaling data. The results indicate that in four areas in the eastern part of Indonesia, no seasonal differences occurred in sperm whale distribution, while noticeable seasonal differences were indicated in other areas. The key parameters that characterize sperm whale habitat in both models were distance to coast, distance to −1,000 and −5,000 m isobaths, and submarine key features such as trough and trench. Main conclusions: The historical catch data of this species can be used to describe the historical species distribution and provide a baseline to assess present distribution, prioritize current research and monitoring and recommend future data collection. Our models also predict distributions that are significantly larger than the ones occupied by sperm whales nowadays, another example of a shifting baseline. Our study demonstrates the benefits of incorporating historical whaling data into habitat models for ecological investigation and to inform conservation efforts for cetaceans.
    Keywords Maxent ; cetacean ; conservation management ; generalized additive model ; historical whaling data ; species distribution model ; sperm whale
    Subject code 333
    Language English
    Publishing country nl
    Document type Article ; Online
    ZDB-ID 188963-1
    ISSN 0305-0270
    ISSN 0305-0270
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Interactions between marine megafauna and plastic pollution in Southeast Asia.

    Omeyer, Lucy C M / Duncan, Emily M / Abreo, Neil Angelo S / Acebes, Jo Marie V / AngSinco-Jimenez, Lea A / Anuar, Sabiqah T / Aragones, Lemnuel V / Araujo, Gonzalo / Carrasco, Luis R / Chua, Marcus A H / Cordova, Muhammad R / Dewanti, Lantun P / Espiritu, Emilyn Q / Garay, Jovanie B / Germanov, Elitza S / Getliff, Jade / Horcajo-Berna, Eva / Ibrahim, Yusof S / Jaafar, Zeehan /
    Janairo, Jose Isagani B / Gyi, Thanda Ko / Kreb, Danielle / Lim, Cheng Ling / Lyons, Youna / Mustika, Putu L K / Neo, Mei Lin / Ng, Sirius Z H / Pasaribu, Buntora / Pariatamby, Agamuthu / Peter, Cindy / Porter, Lindsay / Purba, Noir P / Santa Cruz, Ernesto T / Shams, Shahriar / Thompson, Kirsten F / Torres, Daniel S / Westerlaken, Rodney / Wongtawan, Tuempong / Godley, Brendan J

    The Science of the total environment

    2023  Volume 874, Page(s) 162502

    Abstract: Southeast (SE) Asia is a highly biodiverse region, yet it is also estimated to cumulatively contribute a third of the total global marine plastic pollution. This threat is known to have adverse impacts on marine megafauna, however, understanding of its ... ...

    Abstract Southeast (SE) Asia is a highly biodiverse region, yet it is also estimated to cumulatively contribute a third of the total global marine plastic pollution. This threat is known to have adverse impacts on marine megafauna, however, understanding of its impacts has recently been highlighted as a priority for research in the region. To address this knowledge gap, a structured literature review was conducted for species of cartilaginous fishes, marine mammals, marine reptiles, and seabirds present in SE Asia, collating cases on a global scale to allow for comparison, coupled with a regional expert elicitation to gather additional published and grey literature cases which would have been omitted during the structured literature review. Of the 380 marine megafauna species present in SE Asia, but also studied elsewhere, we found that 9.1 % and 4.5 % of all publications documenting plastic entanglement (n = 55) and ingestion (n = 291) were conducted in SE Asian countries. At the species level, published cases of entanglement from SE Asian countries were available for 10 % or less of species within each taxonomic group. Additionally, published ingestion cases were available primarily for marine mammals and were lacking entirely for seabirds in the region. The regional expert elicitation led to entanglement and ingestion cases from SE Asian countries being documented in 10 and 15 additional species respectively, highlighting the utility of a broader approach to data synthesis. While the scale of the plastic pollution in SE Asia is of particular concern for marine ecosystems, knowledge of its interactions and impacts on marine megafauna lags behind other areas of the world, even after the inclusion of a regional expert elicitation. Additional funding to help collate baseline data are critically needed to inform policy and solutions towards limiting the interactions of marine megafauna and plastic pollution in SE Asia.
    MeSH term(s) Animals ; Ecosystem ; Water Pollutants, Chemical/analysis ; Plastics ; Cetacea ; Water Pollution ; Environmental Monitoring ; Caniformia ; Waste Products/analysis ; Asia, Southeastern
    Chemical Substances Water Pollutants, Chemical ; Plastics ; Waste Products
    Language English
    Publishing date 2023-03-01
    Publishing country Netherlands
    Document type Journal Article ; Review
    ZDB-ID 121506-1
    ISSN 1879-1026 ; 0048-9697
    ISSN (online) 1879-1026
    ISSN 0048-9697
    DOI 10.1016/j.scitotenv.2023.162502
    Database MEDical Literature Analysis and Retrieval System OnLINE

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