Using AI in wildlife conservation: what actually works
Machine learning is transforming species identification and habitat modelling, and generating a lot of noise. A field-level view of which applications are ready and which are still promises.
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Insights
What we learned translocating giraffes
Every translocation teaches something the manual left out. Lessons on capture, transport, site selection and post-release monitoring.
Google Earth Engine for conservation: a practical starting point
You do not need a remote sensing degree to get value from Earth Engine. A walkthrough of the first analyses worth learning, with code.
Wildlife corridors in Africa: beyond the map
Identifying a corridor is the easy part. What it takes to secure one: land tenure, community incentives, infrastructure planning and long-term monitoring.
Climate change and biodiversity: adaptation that holds up
Climate resilience is now written into most conservation strategies. Which interventions have evidence behind them, and which are hope in a logframe.
Leading conservation programmes across borders
Different mandates, currencies, permitting regimes and field realities. What I have learned about making multi-country programmes work.
Rejoice back to nature
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Trip on sub-urban
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Bees love organic
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Morning freshness
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