CGIAR Hub for Sustainable Finance (ImpactSF)

Permanent URI for this collectionhttps://hdl.handle.net/10568/174200

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    Pre-investment power moves: Assessing gender risks in CSA investments
    (Brief, 2024-12-16) Tavenner, Katie; Derenoncourt, Ena; Mufti, Samaa
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    2024 Breakthrough Agenda Report: Agriculture
    (Report, 2024) Mukherji, Aditi; Marshall, Suzie; Arango, Jacobo; Costa, Ciniro; Flintan, Fiona E.; Hebebrand, Charlotte; Kihara, Job Maguta; Masso, Cargele; Molloy, Patrick; Rusinamhodzi, Leonard; Sapkota, Tek Bahadur; Vanlauwe, Bernard
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    Climate-smart agriculture investment plan for Ethiopia
    (Report, 2024-09) Tesfaye, Lidya; Alemayehu, Sintayehu; Jalango, Dorcas; Karanja, Stanley; Magambo, George; Ghosh, Aniruddha; Vyas, Shalika; Nowak, Andreea C.; Wamicwe, Peter; Newman, Richard; Grosjean, Godefroy; Cosgrove, Bethany; Derenoncourt, Ena; Mufti, Samaa; Hientz, Lennart; Wondemagegnehu, Sintayehu; Assefa, Berhanu; Addis, Negash; Yemane, Melat; Jaquet, Stéphanie
    Agriculture is the backbone of the Ethiopian economy, accounting for about 32.4% of GDP, employing over 80% of the population, and foreign currency earning. However, the sector is heavily dependent on rain-fed smallholder farming, making it highly vulnerable to climate change-induced weather extremes such as drought and flood. Studies indicate that climate change induced hazards reduce an estimated 4% of the GDP, which is projected to reduce even further reaching approximately 10% of the GDP by 2050. From this, it is clear that climate change is and remains to be a major threat to the agriculture sector and food systems in Ethiopia. This is further aggravated by land degradation and hinders the country's economic development. Thus, climate-smart agriculture (CSA) that builds sustainable agricultural production and food systems becomes crucially important for Ethiopia. The CSA strategy for the agricultural management encompasses three foundational pillars: building resilience, sustainably boosting agricultural productivity, and enhancing adaptive capacity to climate change while at the same time reducing greenhouse gas emissions to mitigate climate change wherever possible.
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    The innovative biodiversity monitoring framework called TerraBio has resulted in private sector buy-in supporting performance assessment in sustainable business models.
    (Case Study, 2024) Francesconi, Wendy; Molina, Luis; Perez, Jorge Andres; Tello, Jhon Jairo; Caldas De Oliveira, Bernardo
    TerraBio, an innovative approach for monitoring biodiversity and environmental impact, is being used by private sector enterprises in the Brazilian Amazon to generate evidence on the effects of business models on naturally occurring species and vegetation. This has resulted in various context-dependent actions targeting biodiversity conservation, and increased awareness on science - based performance and impact approaches, which are leveraged by these enterprises to access green markets through greater transparency and environmental compliance.
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    Coupling remote sensing and eDNA to monitor environmental impact: A pilot to quantify the environmental benefits of sustainable agriculture in the Brazilian Amazon
    (Journal Article, 2024-02-14) Dyson, Karen; Nicolau, Andréa P.; Tenneson, Karis; Francesconi, Wendy; Daniels, Amy; Andrich, Giulia; Caldas, Bernardo; Castaño, Silvia; de Campos, Nathanael; Dilger, John; Guidotti, Vinicius; Jaques, Iara; McCullough, Ian M.; McDevitt, Allan D.; Molina, Luis; Nekorchuk, Dawn M.; Newberry, Tom; Lima Pereira, Cristiano; Perez, Jorge; Richards-Dimitrie, Teal; Rivera, Ovidio; Rodriguez, Beatriz; Sales, Naiara; Tello, Jhon; Wespestad, Crystal; Zutta, Brian; Saah, David
    Monitoring is essential to ensure that environmental goals are being achieved, including those of sustainable agriculture. Growing interest in environmental monitoring provides an opportunity to improve monitoring practices. Approaches that directly monitor land cover change and biodiversity annually by coupling the wall-to-wall coverage from remote sensing and the site-specific community composition from environmental DNA (eDNA) can provide timely, relevant results for parties interested in the success of sustainable agricultural practices. To ensure that the measured impacts are due to the environmental projects and not exogenous factors, sites where projects have been implemented should be benchmarked against counterfactuals (no project) and control (natural habitat) sites. Results can then be used to calculate diverse sets of indicators customized to monitor different projects. Here, we report on our experience developing and applying one such approach to assess the impact of shaded cocoa projects implemented by the Instituto de Manejo e Certificação Florestal e Agrícola (IMAFLORA) near São Félix do Xingu, in Pará, Brazil. We used the Continuous Degradation Detection (CODED) and LandTrendr algorithms to create a remote sensing-based assessment of forest disturbance and regeneration, estimate carbon sequestration, and changes in essential habitats. We coupled these remote sensing methods with eDNA analyses using arthropod-targeted primers by collecting soil samples from intervention and counterfactual pasture field sites and a control secondary forest. We used a custom set of indicators from the pilot application of a coupled monitoring framework called TerraBio. Our results suggest that, due to IMAFLORA’s shaded cocoa projects, over 400 acres were restored in the intervention area and the community composition of arthropods in shaded cocoa is closer to second-growth forests than that of pastures. In reviewing the coupled approach, we found multiple aspects worked well, and we conclude by presenting multiple lessons learned.