Predicting the Effectiveness of Wildlife Trade Policies Using Machine Learning Techniques DOI Creative Commons

Dingtian Pu,

Mingran Sun,

Jingyi Yuan

et al.

Transactions on Computer Science and Intelligent Systems Research, Journal Year: 2024, Volume and Issue: 5, P. 1687 - 1695

Published: Aug. 12, 2024

Deepening globalization has made the illegal wildlife trade a growing problem, and this paper uses modern information technologies, such as big data analysis machine learning, for monitoring evaluation, which are essential understanding dynamics, predicting trends, assigning responsibilities. This study Klein's comprehensive national power equation to establish scoring system select countries or organizations with most rights, resources, interest in management of subject behavioral implementation. Data-driven methods nonlinear regression, ARIMA time series forecasting, Random Forest algorithm were then used demonstrate relevance policies actions subjects management. The United States, highest score 93.0, 1.8 points higher than second placed IUCN , was identified actor existing that highly relevant

Language: Английский

White Rhino: Contrasting Conservation Outcomes of Two Subspecies DOI
David J.K. Balfour,

Kes Hillman-Smith,

H.H.T. Prins

et al.

Fascinating life sciences, Journal Year: 2025, Volume and Issue: unknown, P. 199 - 235

Published: Jan. 1, 2025

Language: Английский

Citations

0
The Impact of Poaching on Rhino Conservation DOI
Michael ʼt Sas‐Rolfes,

Julian Rademeyer,

Lucy Vigne

et al.

Fascinating life sciences, Journal Year: 2025, Volume and Issue: unknown, P. 367 - 392

Published: Jan. 1, 2025

Language: Английский

Citations

0
Intense international exploitation of African hornbills necessitates urgent conservation measures, including CITES listing DOI Creative Commons
Jen Tinsman, Ariel M. Woodward, Shan Su

et al.

Biological Conservation, Journal Year: 2025, Volume and Issue: 308, P. 111105 - 111105

Published: May 9, 2025

Language: Английский

Citations

0
Playing the CITES game: Lessons on global conservation governance from African megafauna DOI Creative Commons
Michael ʼt Sas‐Rolfes, Daniel W. S. Challender,

Laurence Wainwright

et al.

Environmental Policy and Governance, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 16, 2024

Abstract Growing awareness and concern over environmental issues has been accompanied by a proliferation of international agreements during the last half‐century. Among these, Convention on International Trade in Endangered Species Wild Fauna Flora (CITES), stands out as one oldest strongest influences global biodiversity conservation policy. However, effectiveness CITES questioned—for various reasons from quarters—with range differing opinions. To provide further insight this issue we drew built upon recent advances governance literature to develop an approach analysing how CITES‐centred wildlife trading regime actor behaviour. After developing rule‐categorised framework analyse structure treaty, conducted dynamic analysis behaviour using case study material CITES‐listed African megafauna species (elephants, rhinoceroses, lions), examining developments five‐year period (2016–2020). Drawing material, applied institutional diagnostics gain into regime. Our these studies suggests that can be gamed special interest groups its design facilitates evolution prohibition research produces novel insights operation process raises concerns about consequences for conservation. We conclude with recommendations trade policy reform research.

Language: Английский

Citations

1
Creating a more inclusive approach to wildlife trade management DOI Creative Commons
Amy Hinsley, Alice C. Hughes, Jared D. Margulies

et al.

Conservation Biology, Journal Year: 2024, Volume and Issue: 38(5)

Published: Sept. 9, 2024

Global wildlife trade involves a diverse array of species. Although sustainable underpins livelihoods for communities worldwide, unsustainable trade, whether legal or illegal, threatens thousands species and can lead to extinctions. From plants fungi fish, amphibians, mammals, invertebrates, reptiles, across taxa are affected by trade. Attention has increased in recent years, but its focus largely remained on narrow range high-profile species, with deemed less charismatic frequently overlooked, despite some having significant volumes levels threat wild populations. These biases hamper effective policy interventions, reduce awareness wider threats from prevent conservation efforts focusing the most pressing issues. It is important broaden scope research discussions create more inclusive approach management. The diversity approaches be improved expanding monitoring variety taxa; collecting fundamental ecological data underpin assessments sustainability; improving codesigning interventions key stakeholders actors; developing appropriate strategies managing supply, demand products ensure protected.

Language: Английский

Citations

1
Predicting the Effectiveness of Wildlife Trade Policies Using Machine Learning Techniques DOI Creative Commons

Dingtian Pu,

Mingran Sun,

Jingyi Yuan

et al.

Transactions on Computer Science and Intelligent Systems Research, Journal Year: 2024, Volume and Issue: 5, P. 1687 - 1695

Published: Aug. 12, 2024

Deepening globalization has made the illegal wildlife trade a growing problem, and this paper uses modern information technologies, such as big data analysis machine learning, for monitoring evaluation, which are essential understanding dynamics, predicting trends, assigning responsibilities. This study Klein's comprehensive national power equation to establish scoring system select countries or organizations with most rights, resources, interest in management of subject behavioral implementation. Data-driven methods nonlinear regression, ARIMA time series forecasting, Random Forest algorithm were then used demonstrate relevance policies actions subjects management. The United States, highest score 93.0, 1.8 points higher than second placed IUCN , was identified actor existing that highly relevant

Language: Английский

Citations

0