🌱 Return on Collaboration: From Tragedy to Triumph 🍇 What if, instead of the Tragedy of the Commons, we created the Triumph of Collaboration? That’s the story emerging from Tasmania’s wine sector, as told in a remarkable research paper released last week on Enterprise Suitability Mapping. By aligning government investment, scientific innovation, and deep stakeholder engagement, Tasmania turned climate data into collective action and economic value. Q - So what happened? Over a decade of co-investment and co-design between government, researchers, and industry led to high-resolution geospatial maps that guide where and how to grow crops in a changing climate. These aren’t just maps, they’re trust-building tools, conversation starters, and investment de-riskers. The wine industry in Tasmania, particularly, used these tools to: 🍷 Choose optimal vineyard locations 🍷 Match varietals to future climate conditions 🍷 Secure private investment and reduce climate risk 🍷 Spark $ 4 M+ in new development and local jobs Crucially, the success wasn’t just technical; it was cultural. It worked because: 🤝 Collaboration was embedded from the start 🤝 Open data enabled shared understanding 🤝 Mutual benefit replaced individual competition This is a clear case where Return on Collaboration outperformed what any one actor could have achieved alone. It's a blueprint for turning limited resources into collective value. Now imagine this at scale! What if similar collaborative approaches were adopted across Australia’s agricultural and environmental value chains, from regenerative grazing to forestry, aquaculture, and urban development? We could unlock a wave of smarter, climate-resilient investments. Farmers, scientists, Indigenous land stewards, tech innovators, and policymakers working from shared maps, aligned incentives, and trust, not only adapt to climate pressures but also regenerate land, livelihoods, and ecosystems. This is the sort of collaborative action that I want to not only see happening but want to actively support :) The paper was written by Tia Brullo, Jon Barnett, Elissa Waters, Mathew Webb, Sarah Boulter and Darren Kidd. A link is in the comments.
Collaborative Research in Environmental Studies
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Summary
Collaborative research in environmental studies is a process where scientists, policymakers, and community members work together across disciplines and organizations to tackle complex environmental challenges. This approach pools knowledge, resources, and diverse perspectives to solve issues like pollution, climate resilience, and sustainable agriculture in ways that a single group couldn't achieve alone.
- Share data openly: Make research findings and environmental datasets accessible to all collaborators to build trust and inform better decision-making.
- Engage stakeholders: Involve local communities, industry leaders, and government agencies early and often to ensure the research addresses real-world needs and gains broad support.
- Blend expertise: Bring together people with scientific, technical, and lived experience to analyze problems from multiple angles and create practical solutions.
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Invitation to #Collaborate: Establishing the #Foundations of a Provider–User Network for #Climate #Accountability Current measures of climate responsibility — #NationalTotals and #PerCapitaEmissions — are blunt instruments. They ignore #SupplyChains, misrepresent #ShortLivedGases, and fail to account for #Innovation and #Resilience in global production networks. I am developing a new framework: the #ProviderUserNetwork. In this model, emissions are tracked along flows of trade and services, not confined to national borders. Each flow carries two ledgers: #ProviderStewardshipLedger (PSL): producers’ duty to decarbonise what they supply. #UserAccountabilityLedger (UAL): consumers’ duty for the emissions their demand induces. This opens the way to new indices — #NetworkEmissionsCentrality (#NEC), #ValueAdjustedWarmingIntensity (#VAWI), #UserInducedFootprint (#UIF), #InnovationOffsetPotential (#IOP), #ResilienceAdjustedResponsibility (#RAR) — and practical policy tools such as #CarbonRouting, #EdgeBasedCarbonAdjustments, and #DualLedgerDisclosures. The Initial Step: Before empirical modelling or policy design, the immediate task is a #LiteratureBasedResearch project to: Map existing work on #MRIO, #SharedResponsibility, #GWP*, #CBAM, and #ELedgers. Identify where these strands converge and where gaps remain. Establish the foundation for a robust #ResearchAgenda. Collaboration Parameters: This is a call for a very limited number of collaborators with deep expertise in #ClimatePolicy, #CarbonAccounting, #MRIOAnalysis, #GlobalTrade, and #SustainabilityMetrics. The aim is to co-develop a rigorous foundation paper that can lead to broader stages of #Research, #Modelling, and #PolicyApplication. This is not an open call. It is a targeted invitation to a select group of experts who can credibly shape the intellectual and methodological base of this work. If your expertise aligns with this effort and you are interested in joining this initial phase, I invite you to reach out.
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From the Series Collaborations - or how one month of working as a #Fulbright Senior Specialist can lead to many years of collaboration! After spending one month at the National Agrarian University La Molina - Universidad Nacional Agraria La Molina (Lima, Peru) as a Fulbright senior specialist in 2018 at Prof. Javier Arturo Ñaupari Vásquez's invitation, the opportunities to collaborate have continued. Not only did we collaboratively win two World Bank (Concytec Perú) awards, but we have continued to work together for the last 6 years in various ways, including publications. In this new publication led by Samuel Edwin Pizarro in Geoderma, we explored soil contamination in the Peruvian Mantaro Valley, a vital agricultural region, using advanced geospatial and machine learning techniques. We mapped the presence of 25 metals and metalloids, including arsenic (As), lead (Pb), and cadmium (Cd), which often exceeded safe levels. These elements pose significant risks to human health and ecosystems, particularly when they accumulate in soils used for growing food crops. By combining soil samples with environmental data such as climate, topography, and satellite imagery, we created high-resolution predictions of contamination across the region. Our findings reveal hotspots of contamination, primarily near rivers and roads, influenced by human activities like mining, industrial operations, and agriculture. This work demonstrates the importance of understanding the spatial distribution of contaminants to prioritize clean-up efforts, improve regulations, and ensure safe food production. We contribute to advancing soil mapping techniques and emphasize the need to address soil contamination for the protection of public health and the sustainability of agricultural systems. Link to the open paper here: https://lnkd.in/gbSDGQfU #SoilHealth #EnvironmentalProtection #GeospatialScience #MachineLearning #AgricultureSustainability #SoilContamination #FoodSecurity #ToxicMetals #SustainableFarming #ClimateResilience #DigitalMapping #Peru #SoilScience #DataDrivenSolutions #MaroonResearch
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🌍🔬 New Publication Alert! 🧪🌱 🚨 Pesticides are a global necessity—but at what cost to our health and environment? Pleased to share our latest international collaboration published in Current Opinion in Environmental Science & Health (Elsevier): 📖 "Understanding the Pathways, Pollution, and Potential Solutions Pertaining to Pesticides: Circular Engineering for Persistent Chemicals" 🔗 DOI: 10.1016/j.coesh.2025.100638 💡 This research is funded by Tecnológico de Monterrey under the Challenge-Based Research funding scheme. 📢 We are pleased to let you know that the final version of our article is now available online, containing full bibliographic details. ✅ Ready to read and share? To help you access and share this work, here is a personalized Share Link – a URL providing 50 days of free access to the article. No signup, registration, or fees are needed. 🔗 Access it here (valid until August 22, 2025): 👉 https://lnkd.in/g5N4pbnh 🧩 What’s inside? 📈 Global trends in pesticide use—over 3.5 million tonnes/year 💥 Health risks: From endocrine disruption to cancer and antimicrobial resistance (AMR) 💧 Environmental impacts across air, soil, water, and biota 🧫 Cutting-edge biosensors, enzyme treatments, MOFs & nanotech for detection & remediation ♻️ Frameworks of Circular Engineering for sustainable pesticide management 📡 Smart integration of AI, IoT, and precision agriculture for real-time monitoring 📢 Why it matters? To policymakers 🏛️, environmental researchers 🧑🔬, and agri-tech innovators 🚜—this work underlines the urgent need for science-driven action on pesticide regulation, sustainable alternatives, and food-water security 🌾💦. 🧠💬 This effort reflects deep interdisciplinary collaboration from institutions across 🇮🇳 🇲🇽 🇺🇸 🇯🇵—including researchers, postdocs, PhD scholars & policy advisors. 👥 Huge gratitude to my amazing co-authors: Siddhant Dash | Jürgen Mahlknecht | Alan Kolok | Shiwangi Dogra | Keisuke Kuroda | @Tomohiro Tobino | Abrahan Mora | ABSAR Kazmi | Rajesh Singh | PRAVIN KUMAR MUTIYAR | @Rajesh Roshan | Futoshi Kurisu 🔬💡 Let’s move toward biopesticides, biodegradable compounds, and circular design to achieve #SDG2 and #SDG6 🌾🌊 🗨️ Happy to discuss with stakeholders from policy, academia, and industry on pushing this forward. Let’s collaborate for a pesticide-resilient, sustainable future! 🌟🌱🌐 Daniel A. Jacobo-Velázquez Janet Gutierrez Centro del Agua | Water Center School of Engineering and Science TECNOLÓGICO DE MONTERREY UPES School of Advanced Engineering (SoAE) UPES The University of Tokyo University of Idaho Toyama Prefectural University Indian Institute of Technology, Roorkee IIT Bhubaneswar #Pesticides #CircularEngineering #EnvironmentalHealth #AgriTech #Biopesticides #WaterQuality #Sustainability #Innovation #SmartFarming #PublicHealth #ClimateAction #OneHealth
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I’ve switched to a collaborative approach for all impact assessments. But this is very different than the way I was trained. . . My first impact assessment was risky. I was told: Quantify the economic impact from this ecological restoration project (on a nature preserve). Understanding which outcomes happened *because of* the project required extensive expertise. To do this analysis, I needed an: ↳ understanding of hydrology ↳ understanding of FEMA flood data ↳ stories from residents on their experiences with flooding ↳ knowledge of bird habitat ↳ deep insights around regional tourist behaviors and spending patterns ↳ understanding of nature-based tourists and birders in particular After more than 12 months of work and dozens and dozens of interviews, I was successful. Because of extensive stakeholder engagement, I was able to re-construct past data. The project had measurable economic impact – it reduced flood damage to surrounding homes and had a positive impact on ecotourism. But… I always knew it was a risky approach. From this point on, I realized - a more collaborative approach would be needed for these messy projects involving diverse expertise. A collaborative approach means working with a team to: ✓Identify possible outcomes and determine causal links – how did your program directly lead to that outcome? ✓Determine available data and interpret the analysis with higher accuracy. ✓Communicate the findings in a user-friendly way. Have you used a collaborative approach to evaluating nonprofit programs? What worked and what didn't? ************************************************* This is part 1 in a 3-part series. Today I looked at: Why is a collaborative impact assessment different from the standard approach? Tomorrow I’ll share why that approach helps nonprofit organizations.
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Our latest publication (in Environmental Research Communications) ascertains the impacts of potential land cover changes and projected climate change on the hydrology (streamflow and groundwater) of the #Lower #Flint #Basin. This study is a true collaborative effort between the University of Georgia Warnell School of Forestry and Natural Resources (Yu-Kai Huang & Puneet Dwivedi) and Auburn University College of Forestry, Wildlife and Environment (Latif Kalin & Ritesh Karki) as we combined our respective expertise (economics and hydrology) to generate highly relevant new information for policymakers and other stakeholder groups. We are hopeful that this study will feed into existing policy deliberations for the sustainable management of #Floridan #Acquifer to ensure a fine balance between prosperity (irrigation), environment (freshwater biodiversity), and society (supporting rural livelihoods). This is especially true as the management of #water resources in the #Flint #River #Basin has led to several lawsuits between #Georgia, #Florida, and #Alabama in the past, costing more than $300 million (!) to the taxpayers. If you are interested in our paper, you can download it for free at https://bit.ly/3sSJitz. Special thanks to USDA National Institute of Food and Agriculture for supporting our work. Also, kudos to the great team of FACETS (and remarkable leadership provided by Dr. Wendy Graham). For more information on the project and resulting publications from other team members, please visit https://floridanwater.org/.
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🌍 #Publication_Alert 🌍 I’m pleased to share our latest collaborative publication, "Participation GIS for the Monitoring of Areas Contaminated by Municipal Solid Waste: A Case Study in the City of Pedro Ruiz Gallo (Peru)," now published in Case Studies in Chemical and Environmental Engineering. This research highlights the power of Participatory Geographic Information Systems (PGIS) in integrating local knowledge with environmental issues like solid waste accumulation. By implementing a participatory platform using ArcGIS, we successfully identified the most contaminated regions in Pedro Ruiz Gallo through community reporting and Kernel density mapping. Read more: https://lnkd.in/eYZvCBjT #GIS #PGIS #EnvironmentalEngineering #SolidWasteManagement #ArcGIS #CommunityParticipation #Research #EnvironmentalScience #Sustainability #DataScience
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