STOAT allows us to fuse species data with remote sensing data in a powerful, scalable way - check it out yourself at mol.org/stoat! You can explore our pre-annotated species or run your own custom annotations, all in one platform.

We're all set up for the start of #COP15 tomorrow at our partners' booths GEO BON Future Earth We're excited to talk with parties about our indicators: the Species Protection, Species Habitat, & Species Status Information Indices! Check them out at mol.org/indicators!

Explore the Species Habitat Index at mol.org/indicators/hab… See species score distributions, country trends over time, and full species lists for all countries!

New to the SHI? Watch our brand new video all about the Species Habitat Index here: youtu.be/F7h8m-2H1WA Learn about how we calculate a species habitat score and aggregate scores to create national indices!

Can we save nature? Will nations act? Dr. Walter Jetz, Scientific Chair, E.O. Wilson Biodiversity Foundation, is at #COP15 working to ensure we leave no species behind. #biodiversity #30x30 #COP15 nytimes.com/2022/12/06/cli…

AT COP15? Join Walter Jetz at the Nature Positive Pavilion at 5:30 pm, Fri. Dec 9, for "Biodiversity Solutions Hour" with IUCN, TNC, and E.O. Wilson Biodiversity Foundation. #naturepositive #fornature #biodiversity #halfearthproject #halfearth #COP15

Out now in the The New York Times: Animals Are Running Out of Places to Live tinyurl.com/47nsr4nz Featuring data from our Species Habitat Index which measures habitat loss since 2001 for tens of thousands of species! Map of Life

The Honduran White Bat, featured in the new The New York Times article tinyurl.com/47nsr4nz, has lost half of its suitable habitat in the last 20 years. Explore in-depth distribution, habitat change, and protection data of this species at tinyurl.com/5etx47mb

Wondering how we calculate the habitat loss figures in the NYT article? Check out our new video overview of the Species Habitat Index to see how it works youtu.be/F7h8m-2H1WA and read more at mol.org/indicators/hab…!

As the Parties voice support for #30x30 at #COP15 and discuss what it means to conserve an area for #target3, we must ensure that ecological representation is part of the conversation. #30x30 has to protect the areas that species need most.

Map of Life indicators adopted by UN Global Biodiversity Framework in Montreal, including the #30x30 Target 3, Target 4 on ecosystem integrity, and Target 21 calling for improved biodiversity knowledge. Read more: medium.com/google-earth/m… Map of Life Yale BGC

New Global Biodiversity Framework indicators provided by Map of Life can be applied to any geographic units to develop regional indices. Example: Half Earth Project Map we developed with Map of Life & @EOWilsonFndtn! Learn more via Google Earth's new blog: bit.ly/3ZuZ9Ku

From a 23-pound radio collar to 1000s of lightweight satellite tags, animal tracking has come a long way since the 70s. Check out our coverage of the Internet of Animals Symposium, where experts convened to explore the frontiers of spaceborne tracking: tinyurl.com/2p99r8f7

The Species Habitat Index assesses ecosystem integrity by calculating habitat loss at the species level. Explore the status of your country’s biodiversity and find those species most threatened by habitat loss at mol.org/indicators/hab…

We’re thrilled to be an #XPRIZERainforest finalist! @XPRIZE Our ongoing mission is to help stakeholders around the world better include biodiversity in their conservation decision making. Read all about our Rapid Assessments solution here: tinyurl.com/4dpfddzx

We've just launched a new tool at mol.org/regions in partnership with Field Museum! For any region, anywhere in the world, Map of Life can generate a data-backed species list in seconds. Read our new story about the tool, dive in, and explore! tinyurl.com/yfn7ey6h

The Regions tools allows users to select any country, state or province, or protected area anywhere in the world and create their own custom area for on-the-fly species list generation: mol.org/regions

An important feature of the species lists is the ability to track each species back to the exact dataset it came from: was it recorded in this area, or is it expected to occur there based on an expert range map?

How does MOL generate these lists? What are the limitations? What taxonomies are used? For all these and more questions, head to the FAQ page: mol.org/regions/faq

We're hiring! The Map of Life Rapid Assessments Team is looking for software engineers, data scientists, and field technicians to join our team as we head to the XPRIZE Rainforest finals next summer. Early career scientists are encouraged to apply! bgc.yale.edu/join-our-team