What's on the horizon for community-based conservation? Emerging threats and opportunities

Esmail, Nafeesa; McPherson, Jana; Abulu, Latoya; Amend, Thora; Amit, Ronit; Bhatia, Saloni; Bikaba, Dominique; Brichieri‐Colombi, Typhenn A.; Brown, Jessica; Buschman, Victoria; Fabinyi, Michael; Farhadinia, Mohammad S.; Ghayoumi, Razieh; Hay-Edie, Terence; Horigue, Vera; Jungblut, Vainuupo; Jupiter, Stacy D.; Keane, Aidan; Macdonald, David W.; Mahajan, Shauna L.; McVey, Andrew; Moehrenschlager, Axel; Nelson, Frederick E.; Noshirwani, Meher; Ntiamoa‐Baidu, Yaa; Postigo, Jose Luis; Rakotondrazafy, Vatosoa; Rao, Madhu; Roe, Dilys; Sierra-Huelsz, José Antonio; Stolton, Sue; Tawake, Alifereti; Wintle, Bonnie

doi:10.1016/j.tree.2023.02.008

Cited by 18 publications

(4 citation statements)

References 58 publications

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“…Although this is changing (Esmail et al, 2023), the formal education of natural scientists often does not include training on how to engage with local communities at any scale or even how to collaborate with organizations that work with communities (Leshner, 2007).…”

Section: Restructure Institutional Priorities and Valuesmentioning

confidence: 99%

A framework for contextualizing social‐ecological biases in contributory science data

Carlen,

Estien,

Caspi

et al. 2024

People and Nature

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Contributory science—including citizen and community science—allows scientists to leverage participant‐generated data while providing an opportunity for engaging with local community members. Data yielded by participant‐generated biodiversity platforms allow professional scientists to answer ecological and evolutionary questions across both geographic and temporal scales, which is incredibly valuable for conservation efforts. The data reported to contributory biodiversity platforms, such as eBird and iNaturalist, can be driven by social and ecological variables, leading to biased data. Though empirical work has highlighted the biases in contributory data, little work has articulated how biases arise in contributory data and the societal consequences of these biases. We present a conceptual framework illustrating how social and ecological variables create bias in contributory science data. In this framework, we present four filters—participation, detectability, sampling and preference—that ultimately shape the type and location of contributory biodiversity data. We leverage this framework to examine data from the largest contributory science platforms—eBird and iNaturalist—in St. Louis, Missouri, the United States, and discuss the potential consequences of biased data. Lastly, we conclude by providing several recommendations for researchers and institutions to move towards a more inclusive field. With these recommendations, we provide opportunities to ameliorate biases in contributory data and an opportunity to practice equitable biodiversity conservation. Read the free Plain Language Summary for this article on the Journal blog.

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Section: Restructure Institutional Priorities and Valuesmentioning

confidence: 99%

A framework for contextualizing social‐ecological biases in contributory science data

Carlen,

Estien,

Caspi

et al. 2024

People and Nature

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“…This means that local wisdom can be an important content that needs to be considered in environmental education (Asrial et al, 2021;Effendi, 2019). Local wisdom is a valuable resource that is expected to enrich students' understanding of their relationship with nature, teach conservation values, and explore traditional practices in preserving the environment (Badeni & Saparahayuningsih, 2022;Budiaman et al, 2021;Esmail et al, 2023;Hilman & Sunaedi, 2018;Jahja, 2016;Sunari & Nurhayati, 2023;Widianingsih et al, 2023). Efforts to introduce students to local wisdom adopted by society, for example in protecting ecosystems, sustainable agriculture and natural resource management, can be done through environmental education.…”

Section: Contributions and Recommendationsmentioning

confidence: 99%

A systematic literature review about local wisdom and sustainability: Contribution and recommendation to science education

Lestari,

Paidi,

Suyanto

2024

EURASIA J Math Sci Tech Ed

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The theme “local wisdom, sustainability, and education” attracted the attention of researchers, and the number of publications began to increase, making it interesting to study. This systematic literature review (SLR) aims to review various research published in journals indexed in Scopus database related to the theme “local wisdom, sustainability, and education”. The review focuses on publication trends as well as the contributions and recommendations that can be obtained. Disbursement was focused on the largest database in the world (Scopus), where 186 articles were obtained. preferred reporting items for systematic reviews and meta-analysis model was used to obtain suitable articles, so that finally only 10 articles met the criteria to be analyzed. We obtained data that the dominant research was conducted using a qualitative approach or method. There is no dominant author, and all authors are not related to each other. Local wisdom and sustainability “meet” in the word Indonesia, showing Indonesia’s position and urgency in this study. The theme “local wisdom, sustainability, and education” is still not an interesting issue asking for international collaboration, so research collaboration is still local. We discuss all the findings. We also discuss the contributions and recommendations of the 10 articles analyzed, which can be grouped into aspects of sustainable agriculture, sustainable watershed management, implementation of environmental education curricula, and teacher professionalism development. Contributions and recommendations are aimed at all aspects of education (both formal, non-formal and informal education). Findings can be a consideration or baseline for researchers to study theme of “local wisdom, sustainability, and education” according to their respective backgrounds and objectives.

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“…Fourth, it promotes participatory decision-making, which can enhance the sense of ownership and responsibility among local communities (Ostrom, 2009). Finally, CBC can contribute to the achievement of global conservation goals by effectively conserving biodiversity, building capacity and facilitating knowledge-sharing among stakeholders (Esmail et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Community-based fisheries management exert a vast value-added effective protection footprint in Amazonian forests

Rodrigues,

Costa,

Peres

et al. 2024

Preprint

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Community-based conservation has gained traction in the Brazilian Amazon due to its potential in combining territorial protection, local well-being, and biodiversity conservation. Here, we conducted an innovative assessment of the effective protection footprint of the largest community-based fisheries conservation arrangement in the Amazon. Local communities effectively protected between 1 and 13 lakes, which were on average 47.4 ha in size. However, the effective protection area was approximately 8-fold larger than the extent of direct protection, defined as the immediate focal area sustaining financial returns through co-management. The additional protection of a ‘functional area’ was on average 11,188 ha, or 36-fold larger than the directly protected area. Although the average cost of effective protection was low (US$0.95 ha‒1 yr‒1), this was entirely incurred by low-income local communities Our study underscores the remarkable effort leveraged by Amazonian rural communities in protecting natural ecosystems and the imperative need to develop compensation mechanisms to financially reward them, which are currently lacking.

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What's on the horizon for community-based conservation? Emerging threats and opportunities

Cited by 18 publications

References 58 publications

A framework for contextualizing social‐ecological biases in contributory science data

A framework for contextualizing social‐ecological biases in contributory science data

A systematic literature review about local wisdom and sustainability: Contribution and recommendation to science education

Community-based fisheries management exert a vast value-added effective protection footprint in Amazonian forests

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