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Nature-based Solutions: Ecosystem Restoration and Carbon Projects Training Course

Venue
TBA
Location
Cercedilla, Spain
Course language
English
Start date
End date
Expert course

Nature-based Solutions: Ecosystem Restoration and Carbon Projects Training Course

The UN Decade on Ecosystem Restoration seeks to end poverty, combat climate change, and prevent mass extinction, but it will only succeed if everyone plays their part. Join us to learn how you can best play yours!

Ecosystem degradation has reached the far corners of our planet, from the precious rainforests to priceless reefs. The Convention on Biological Diversity declares that one of the main targets of the decade 2020-2030 is to ensure that at least 30% of areas of degraded terrestrial, inland water, and marine and coastal ecosystems are under effective restoration, to enhance biodiversity and ecosystem functions. This is a huge challenge for humanity to recover the ecosystem health and improve economic well-being.

But there is hope. We are seeing widespread discussions on the importance of ecosystem restoration and investment in that. However, the efforts need to be well designed, implemented, and monitored.

This comprehensive course will equip you with the knowledge and essential tools to support the global effort to restore ecosystems and mitigate climate change. Through a harmonious blend of invigorating classroom sessions and field exercises in the Guadarrama NP, you'll discover the critical stakes at hand and unravel the profound connection between healthy ecosystems and limiting global warming.

The course covers the comprehensive Preferred by Nature’s Ecosystem Restoration approach and the the key elements of the carbon initiatives assessment based on international case studies from different ecosystems.

The course agenda is to be added. The training will be held on 25-26-27 March 2025 in Cercedilla (Madrid), Spain, in the influence zone of the beautiful Sierra de Guadarrama National Park.  

This course is conducted in English. Please ensure that your language skills allow you to fully engage in presentations, group exercises, discussions, and examinations.

For our other courses, please take a look at our Training Calendar 2024 or contact us at training@preferredbynature.org.

Conditions for successful completion of the course

For the participants who are not looking to acquire a qualification or accreditation, the exam on the last day is voluntary. Regardless, we would however highly recommend to complete the exam as will aid to a better understanding of content and overall learning experience at the classroom course.

Course fee and discount options

The cost of participating in this three-day classroom course is 2,000 USD , excluding accommodation and VAT. The course fee covers tuition, training materials and meals (coffee breaks and lunches) during the course.

Special early bird price offer (10% from full price, Code: EB10): 1,800 USD if you sign-up and pay latest two months prior (valid until 24 January 2025).

Discount options

We offer a special discount of 30% for NGOs, 20x20 initiative, the Global Partnership on Forest Landscape Restoration, partners on the UN Decade, the FAO Task Force on Ecosystem Restoration Best Practices, FSC Network Partners, and university/college staff/students (Code: NGO30). Only a single discount can be applied per participant. All discounts are calculated from the full course fee.

Accommodation and practical information

The training course venue is TBA. Once you complete the registration, we will get in touch with you about travel logistics and requirements and provide suggestion on accommodation.  

Cancellation

Cancellation is free of charge up until two weeks before the course starts, after which we will need to charge a cancellation fee, 25% from standard course fee, unless specified otherwise. 

Register for the course

Billing Information

For invoicing, please provide the full address and VAT number of your organisation.

Apply for NGO, FSC National Initiative, university/college staff/student discount
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