Early warning of trends in commercial wildlife trade through novel machine-learning analysis of patent filing.

Unsustainable wildlife trade imperils thousands of species, but efforts to identify and reduce these threats are hampered by rapidly evolving commercial markets. Businesses trading wildlife-derived products innovate to remain competitive, and the patents they file to protect their innovations also provide an early-warning of market shifts. Here, we develop a novel machine-learning approach to analyse patent-filing trends and apply it to patents filed from 1970-2020 related to six traded taxa that vary in trade legality, threat level, and use type: rhinoceroses, pangolins, bears, sturgeon, horseshoe crabs, and caterpillar fungus. We found 27,308 patents, showing 130% per-year increases, compared to a background rate of 104%. Innovation led to diversification, including new fertilizer products using illegal-to-trade rhinoceros horn, and novel farming methods for pangolins. Stricter regulation did not generally correlate with reduced patenting. Patents reveal how wildlife-related businesses predict, adapt to, and create market shifts, providing data to underpin proactive wildlife-trade management approaches.

Institutional Management Competence for Addressing Illegal Wildlife Trade: Insights from Uruguay.

The illegal wildlife trade (IWT) is a global phenomenon that adversely affects biodiversity and human well-being. Understanding how institutions manage this trade is crucial for reducing its negative impacts. Latin America has the fewest IWT studies globally; thus, science in support of more effective institutional management of IWT is limited. This study aims to bridge the researcher-practitioner gap by providing applicable results and involving control institutions. To this end, we examine the strengths and weaknesses of Uruguay's institutions in addressing this issue, introducing the concept of institutional management competence to the knowledge base about IWT. Based on this case study, we aimed to generate inputs to guide policymakers in achieving better control of the IWT, contributing to reduce the researcher-practitioner gap. From an interdisciplinary perspective that articulates qualitative and quantitative methods, the study presents the following results: (a) Uruguay's network for addressing illegal wildlife trade involves numerous institutions whose articulation has a high degree of informality; (b) these institutions address different stages of trafficking based on their roles, jurisdiction, and engagement; (c) main weaknesses include insufficient state-level prioritisation, weak institutional coordination, inadequate training, insufficient infrastructure, space and personnel to handle the volume of seized animals, lack of proper facilities for seized animals, and a need for better-organised information. Our results help shed light on the IWT management structures in Uruguay and identifies where direct improvements can be made to strengthen the institutional responses to global IWT.

Gaps seen in China's crackdown on wildlife trade.

Stricter rules could prevent disease outbreaks, but allowances for fur farming spur concern.