Categorizing the songbird market through big data and machine learning in the context of Indonesia’s online market

Okarda, B.; Muchlish, Usman; Kusumadewi, Sonya Dyah; Purnomo, Herry

doi:10.1016/j.gecco.2022.e02280

Cited by 8 publications

(4 citation statements)

References 26 publications

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“…Machine learning tools can provide automated classification with a high degree of accuracy, as shown in other studies, and are suitable for long-term monitoring to explore supply chains and their actors. Engage in an increasingly international market [15][16] [17][18][19] [20]. Construction of buildings located close to rivers or water sources and at least 200 meters from residential areas and far from houses of worship that aim to maintain the comfort and peace of the surrounding community.…”

Section: Resultsmentioning

confidence: 99%

The role of social capital in the development of swiftlet birdhouse potential in Central Kalimantan Province, Indonesia

Fajarwati,

Mujahidin,

Ali

2024

IOP Conf. Ser.: Earth Environ. Sci.

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Indonesia is the largest producer of Swiftlet bird’s nest in the world. One of the largest contributors to production is Central Kalimantan Province. This is a great potential in regional economic growth. It can be seen that part of the region’s income comes from the export of Swiftlet bird’s nest. The active participation of these breeders is inseparable from the existing capitals, one of which is social capital. The research aims to (1) map the form of social capital in the development of Swiftlet bird houses and (2) analyze the role of social capital in the development of swiftlet farms. The method used is qualitative. Data analysis through interactive models with reduction, presentation, and conclusions. Research informants were selected purposively, namely Swiftlet birdhouse owners, management teams, and exporters in Central Kalimantan Province. Data collection techniques use observation, in-depth interviews, and secondary data studies. The results showed that: (1) the development of Swiftlet birdhouse potential in Central Kalimantan is based on social capital, namely trust, norms and networks. (2) Social networks, beliefs and norms have an important role in developing the potential of Swiftlet birdhouses and affect economic, social and environmental aspects.

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Section: Resultsmentioning

confidence: 99%

The role of social capital in the development of swiftlet birdhouse potential in Central Kalimantan Province, Indonesia

Fajarwati,

Mujahidin,

Ali

2024

IOP Conf. Ser.: Earth Environ. Sci.

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“…From a policy perspective, our results highlight a need to more robustly understand which specific market traits most prominently drive trade at a local scale. Once approach to achieving this is to develop shortlists of these high‐demand market traits via market surveys, whether brick‐and‐mortar or online (Chng et al., 2018; Harris et al., 2015; Okarda et al., 2022; Siriwat & Nijman, 2020), or via interviews with consumers, sellers, and harvesters (Chiok et al., 2022; Jepson & Ladle, 2005). By using these shortlists to determine whether any high‐demand traits are clustered within particular taxonomic groups and/or functional groups, policymakers and/or practitioners could prioritize interventions based on the vulnerability of specific populations, and based on ecosystem‐level impact of cultural drivers of trade.…”

Section: Discussionmentioning

confidence: 99%

Does fortune follow function? Exploring how consumer preferences drive the functional trait composition of the global songbird trade

Almeida,

Mazza,

Lockwood

2024

People and Nature

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Defaunation and extinction undermine the resilience and functioning of ecological communities and ecosystems. Relative to other disturbances, overexploitation for the global wildlife trade presents a unique case of trait‐based selection, as demand for specific individuals is often tied to unique morphological or aesthetic traits desired by consumers (‘market traits’). Because evolutionary history leads to species that share both market and functional traits, we posit that non‐random patterns of exploitation will result in non‐random loss of functional diversity. We applied a trait‐based framework to the global songbird trade for 4616 species, 148 of which are plausibly threatened by the trade. We quantified select market traits, such as unique coloration and song quality, and ecological traits related to body size, diet, and foraging strategy to assess whether the trade disproportionately threatens particular functional groups. We additionally looked for patterns of association between market traits and functional traits to assess whether selection on certain market traits could drive selection on associated functional traits. We found that overexploited birds are a distinct functional subset of the global songbird pool, with the trade disproportionately threatening large bodied, frugivorous, and seed eating birds. Across all songbirds, there were multiple non‐random associations between market traits and functional traits, with the strongest associations observed among trade‐threatened birds; this was consistent with our theory that consumer‐driven selection on market traits could theoretically result in selection on functional traits. However, there was mixed evidence for this hypothesis at a global scale, suggesting that disproportionate threat to functional diversity may be more likely in regions where there is heavy demand for associated market traits. Policy implications. Our results highlight the need for increased focus on the mechanistic drivers of trait‐based selection on the consumer side of wildlife trade, and how patterns of overexploitation can systematically affect ecological communities and ecosystem services. Read the free Plain Language Summary for this article on the Journal blog.

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“…Although physical bird markets are still rife throughout Asia, many traders now take advantage of access to poorly regulated online marketplaces (Siriwat & Nijman, 2020;Okarda et al, 2022). Investigations which monitored online wildlife trade in Malaysia found the OMR were the 9th most traded animals on Facebook, a prominent online market for wildlife trade (Chng et al, 2021).…”

Section: Discussionmentioning

confidence: 99%

Never judge a bird by its feathers: genetics unveils the true target of trafficking in morphologically similarCopsychusspecies

Cavill

Hernández‐Alonso

Ogden

et al. 2023

Preprint

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Trends in wildlife crime continue to rise and contribute to the ongoing decline of our planet’s biodiversity. We applied a genetic approach to ascertain the geographic origin of a suspected Seychelles Magpie-robin confiscated in Singapore during international transit, and to confirm illegal trade of this species. However, mitochondrial analyses revealed this individual to be a subspecies of Oriental Magpie-robin, endemic to the island of Borneo, and bearing similar morphology to the Seychelles species. We thus consider the implications of correct species identification on captive care and repatriation in cases of wildlife confiscation, and emphasise the value of using genetics in wildlife crime investigation.

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Categorizing the songbird market through big data and machine learning in the context of Indonesia’s online market

Cited by 8 publications

References 26 publications

The role of social capital in the development of swiftlet birdhouse potential in Central Kalimantan Province, Indonesia

The role of social capital in the development of swiftlet birdhouse potential in Central Kalimantan Province, Indonesia

Does fortune follow function? Exploring how consumer preferences drive the functional trait composition of the global songbird trade

Never judge a bird by its feathers: genetics unveils the true target of trafficking in morphologically similarCopsychusspecies

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