Yuri Geraldo Gomes Ribeiro

Tài liệu này trình bày kết quả của một quá trình đánh giá nhu cầu toàn diện, được thực hiện bởi Nhóm công tác về Thay đổi Hành vi (Behavior Change Task Force) thuộc Ủy ban Giáo dục và Truyền thông (CEC) của IUCN SSC. Tài liệu được thiết kế nhằm mang lại cái nhìn có hệ thống về các thách thức, cơ hội và những khuyến nghị thiết thực để tích hợp khoa học hành vi vào các chiến lược bảo tồn. Báo cáo này đóng vai trò vừa là công cụ chẩn đoán, vừa là lộ trình thúc đẩy việc ứng dụng khoa học hành vi trong các nỗ lực bảo tồn.

Ce document présente les conclusions d'une évaluation approfondie des besoins menée par le Groupe de Travail sur le Changement de Comportement de la CSE et de la CEC de l'UICN. Il est conçu pour fournir une compréhension structurée des défis, des opportunités et des recommandations concrètes en vue d'intégrer les sciences comportementales dans les stratégies de conservation. Le rapport vise à servir à la fois d'outil de diagnostic et de feuille de route pour faire progresser l'application des sciences comportementales dans les efforts de conservation.

Human behaviour is central to biodiversity loss, yet conservation rarely harnesses the wealth of social datasets that capture and reflect these behaviours. Here, we argue that integrating diverse social data with recent advances in artificial intelligence (AI) can reveal early behavioural signals of emerging threats, enabling a shift from reactive mitigation to anticipatory action. Using illegal wildlife trade mitigation as an illustrative example, we outline how AI-enabled analyses of social data can be applied across the conservation project lifecycle, and highlight key safeguards and priority steps for piloting these approaches in policy-relevant settings.

El presente documento recoge las conclusiones de una evaluación exhaustiva de las necesidades realizada por el Grupo de Trabajo sobre el Cambio de Comportamiento de la CSE y la CEC de la UICN. Su objetivo es ofrecer una visión estructurada de los retos, las oportunidades y las recomendaciones prácticas para integrar las ciencias del comportamiento en las estrategias de conservación. El informe pretende servir tanto de herramienta de diagnóstico como de hoja de ruta para impulsar la aplicación de las ciencias del comportamiento en las iniciativas de conservación.

Este documento apresenta as conclusões de uma avaliação abrangente das necessidades realizada pelo Grupo de Trabalho para a Mudança de Comportamento da CSE e CEC da UICN. Este relatório foi elaborado para permitir uma compreensão estruturada dos desafios, das oportunidades e das recomendações práticas para integrar as ciências comportamentais às estratégias de conservação. O relatório tem como objetivo servir tanto como uma ferramenta de diagnóstico quanto como um roteiro para promover a aplicação das ciências comportamentais nos esforços de conservação.

Mitigating wildlife‐vehicle collisions (WVC) is crucial for reducing roadkill and preserving biodiversity. This study identifies barriers to WVC mitigation and proposes solutions through an exploratory literature review and formal expert elicitation. We conducted semi‐structured interviews with 17 WVC specialists from diverse regions of Brazil, coding 10 key barriers and achieving consensus on 22 solutions. The barriers identified encompass a range of economic, social, political, and technical factors, including road manager type, lack of public policy, and limited societal awareness. The BR‐262 highway case study further contextualizes our findings, illustrating how these barriers manifest in real‐world scenarios. Co‐created strategies with stakeholders emerged as the most effective, with high levels of agreement among specialists. Our results underscore that unaddressed barriers limit the effectiveness of mitigation measures, stressing the need for collaborative approaches that integrate public policy, community engagement, and technical innovation to overcome these challenges.

This document presents the findings of a comprehensive needs assessment conducted by the IUCN SSC CEC Behaviour Change Task Force. It is designed to provide a structured understanding of the challenges, opportunities, and actionable recommendations for integrating behavioural sciences into conservation strategies. The report aims to serve as both a diagnostic tool and a roadmap for advancing the application of behavioural sciences in conservation efforts.

Introduction: There has been a gradual increase in studies of social media data usage in biodiversity conservation. Social media data is an underused source of information with the potential to maximize the outcomes of established conservation measures. In this study, we assessed how structured social media data can provide insight into species conservation through a species conservation plan, based on predefined actions. Methods: We established a framework centered on a set of steps that go from defining social media platforms and species of interest to applying general analysis of data based on data dimensions—three W’s framework (What, When, Who) and the public engagement that posts received. The final and most important step in our proposed framework is to assess the overlap between social media data outcomes and measures established in conservation plans. In our study, we used the Brazilian National Action Plan (BNAP) for big cats as our model. We extracted posts and metrics about jaguars (Panthera onca) and pumas (Puma concolor) from two social media platforms, Facebook and Twitter. Results: We obtained 159 posts for both jaguars and pumas on Facebook (manually) and 23,869 posts for the jaguar and 14,675 posts for the puma on Twitter (through an application user interface). Data were categorized for content and users (only Facebook data) based on analysis of the content obtained and similarities found between posts. We used descriptive statistics for analyzing the metrics extracted for each data dimension (what, when, who, and engagement). We also used algorithms to predict categories in the Twitter database. Our most important findings were based on the development of a matrix summarizing the overlapping actions and dimensions of the data. Our findings revealed that the most prominent category of information for jaguars on Facebook was the sighting of wildlife outside protected areas, while for pumas, it was the trespassing of property by wildlife. From the Twitter dataset, we observed that the most prominent category of information for jaguars was: the sighting of wildlife outside protected areas, while for pumas, it was wildlife depredation by direct or indirect means. We found temporal trends that highlight the importance of categories in understanding information peaks on Facebook and Twitter. Discussion: When we analyze online engagement, we see a predominance of positive reactions on Facebook, and on Twitter, we see a balanced reaction between positive and negative. We identified 10 of 41 actions in the BNAP that might benefit from social media data. Most of the actions that could benefit from our dataset were linked to human–wildlife conflicts and threats, such as wildlife–vehicle collisions. Communication and educational actions could benefit from all dimensions of the data. Our results highlight the variety of information on social media to inform conservation programs and their application to conservation actions. We believe that studies on the success of applying data to conservation measures are the next step in this process and could benefit from input from decision-makers.

Wildlife–vehicle collisions (WVCs) are a critical threat to biodiversity and human safety. To implement WVC mitigation measures where most needed, we need to link models predicting the probability of the presence of species, at large spatial scales, with the likelihood of occurring collisions along roads. Here, we propose a framework for the prioritization of road sections for implementing mitigation measures using ecologically based information. Within this framework, we first model the likelihood of WVC occurrence for focal species in road vicinity areas. We then use spatial prioritization tools to select road sections that entail a higher probability of WVC across the focal species using user‐defined criteria for weighting species records. We applied this framework to Mato Grosso do Sul state (Brazil), using systematic information on WVC collected over 3 years along ca. 2000 km of roads. We focused on the WVC involving three large mammals commonly road‐killed therein, which represent a threat to humans when involved in WVC: the lowland tapir Tapirus terrestris, giant anteater Myrmecophaga tridactyla and capybara Hydrochoerus hydrochaeris. We were able to identify road sections (<10% of the road network) that should be prioritized for implementing mitigation actions, which could significantly reduce the number of WVCs. However, the large extent of the road network classified as a priority for mitigation suggests the need to engage the public and private sectors in the early stages of the decision‐making process, in order to reach a consensus on the prioritization. Our framework may improve the environmental licensing process, namely by guiding where mitigation measures should be implemented first.