To trade or not to trade? Using Bayesian Belief Networks to assess how to manage commercial wildlife trade in a complex world

To trade or not to trade? Using Bayesian Belief Networks to assess how to manage commercial wildlife trade in a complex world

International commercial trade in wildlife, whether legal or illegal, is one of the greatest threats to multiple species of wildlife today. Opinions on how to address it are deeply divided across the conservation community. Approaches fall into two broad categories: making the trade illegal to prote...

Mô tả đầy đủ

Chi tiết về thư mục
Những tác giả chính:	Bennett, EL, Underwood, FM, Milner-Gulland, E
Định dạng:	Journal article
Ngôn ngữ:	English
Được phát hành:	Frontiers Media 2021

Những quyển sách tương tự

To Trade or Not to Trade? Using Bayesian Belief Networks to Assess How to Manage Commercial Wildlife Trade in a Complex World
Bằng: Elizabeth L. Bennett, et al.
Được phát hành: (2021-03-01)

Evidence to action: research to address illegal wildlife trade
Bằng: Cugniere, L, et al.
Được phát hành: (2019)

Illegal wildlife trade: Scale, processes, and governance
Bằng: ‘T Sas-Rolfes, M, et al.
Được phát hành: (2019)

Use of evidence for decision-making by conservation practitioners in the illegal wildlife trade
Bằng: Arias, M, et al.
Được phát hành: (2021)

Characterising Wildlife Trade Market Supply-Demand Dynamics
Bằng: Macnamara, J, et al.
Được phát hành: (2016)

Early warning of trends in commercial wildlife trade through novel machine-learning analysis of patent filing
Bằng: Hinsley, AE, et al.
Được phát hành: (2024)

Early warning of trends in commercial wildlife trade through novel machine-learning analysis of patent filing
Bằng: Hinsley, A, et al.
Được phát hành: (2024)

Characterising Wildlife Trade Market Supply-Demand Dynamics.
Bằng: J McNamara, et al.
Được phát hành: (2016-01-01)

Beyond banning wildlife trade: COVID-19, conservation and development
Bằng: Roe, D, et al.
Được phát hành: (2020)

Early warning of trends in commercial wildlife trade through novel machine-learning analysis of patent filing
Bằng: A. Hinsley, et al.
Được phát hành: (2024-08-01)

Evaluating the reliability of media reports for gathering information about illegal wildlife trade seizures
Bằng: Kumar Paudel, et al.
Được phát hành: (2022-04-01)

Code supporting “Early-warning of trends in commercial wildlife trade through novel machine-learning analysis of patent filing”.
Bằng: Hinsley, A, et al.
Được phát hành: (2024)

A dynamic simulation model to support reduction in illegal trade within legal wildlife markets
Bằng: Oyanedel, R, et al.
Được phát hành: (2021)

Wildlife Trade and Global Disease Emergence
Bằng: William B. Karesh, et al.
Được phát hành: (2005-07-01)

Trading Tactics: Time to Rethink the Global Trade in Wildlife
Bằng: Neil D’Cruze, et al.
Được phát hành: (2020-12-01)

A systematic survey of online trade: trade in Saiga Antelope horn on Russian-speaking websites
Bằng: Roberts, D, et al.
Được phát hành: (2021)

Complex interactions between commercial and noncommercial drivers of illegal trade for a threatened felid
Bằng: Arias, M, et al.
Được phát hành: (2021)

Mischaracterising wildlife trade and its impacts may mislead policy processes
Bằng: Challender, DWS, et al.
Được phát hành: (2021)

Trading species to extinction: evidence of extinction linked to the wildlife trade
Bằng: Hinsley, AE, et al.
Được phát hành: (2023)

Trading species to extinction: evidence of extinction linked to the wildlife trade
Bằng: Amy Hinsley, et al.
Được phát hành: (2023-01-01)

The bushmeat trade in northern Ghana: market dynamics, drivers of trade and implications for conservation
Bằng: Sackey, H, et al.
Được phát hành: (2022)

Patterns of illegal wildlife trade
Bằng: Mariana Martins, et al.
Được phát hành: (2022-04-01)

Inadequacies in establishing CITES trade bans
Bằng: Challender, D, et al.
Được phát hành: (2019)

Mischaracterizing wildlife trade and its impacts may mislead policy processes
Bằng: Daniel W.S. Challender, et al.
Được phát hành: (2022-01-01)

Banning Wildlife Trade Can Boost the Unregulated Trade of Threatened Species
Bằng: Takahiro Kubo, et al.
Được phát hành: (2025-01-01)

Malagasy Amphibian Wildlife Trade Revisited: Improving Management Knowledge of the Trade
Bằng: Angus I. Carpenter, et al.
Được phát hành: (2023-07-01)

Tracking the wildlife trade: Usability of shipment identifiers in the CITES Trade Database
Bằng: Michal Berec, et al.
Được phát hành: (2021-08-01)

Assessing the impact of regulations on the use and trade of wildlife: An operational framework, with a case study on manta rays
Bằng: Booth, H, et al.
Được phát hành: (2020)

The bushmeat trade in northern Ghana: market dynamics, drivers of trade and implications for conservation
Bằng: Hannah N.K. Sackey, et al.
Được phát hành: (2023-03-01)

Characterizing and quantifying the wildlife trade network in Sulawesi, Indonesia
Bằng: Alice Latinne, et al.
Được phát hành: (2020-03-01)

Quantifying the Main Battle Tank's architectural trade space using Bayesian Belief Network
Bằng: Lee, Keen Sing, 1972-
Được phát hành: (2006)

Leading Trade Networks in the Context of Globalisation of the World Retail Trade
Bằng: Kavun Olha O.
Được phát hành: (2013-12-01)

Reform wildlife trade in the European Union
Bằng: Cardoso, P, et al.
Được phát hành: (2024)

The seven forms of challenges in the wildlife trade
Bằng: Roberts, DL, et al.
Được phát hành: (2020)

The Fight Against Illegal Wildlife Trade
Bằng: A. V. Koukoushkina
Được phát hành: (2011-08-01)

Determining the Provenance of Traded Wildlife in the Philippines
Bằng: Kate J. Brandis, et al.
Được phát hành: (2023-06-01)

Accurate characterization of wildlife trade and policy instruments: reply to D'Cruze et al. (2022) and Frank and Wilcove (2022)
Bằng: Challender, D, et al.
Được phát hành: (2022)

Wildlife Trade for Belief-Based Use: Insights From Traditional Healers in South Africa
Bằng: Jennah Green, et al.
Được phát hành: (2022-06-01)

The world economy : global trade policy 1995 /
Bằng: Arndt, Sven, et al.
Được phát hành: (1995)

International media coverage of the Bolivian jaguar trade
Bằng: Li, Y, et al.
Được phát hành: (2021)