The first annual Species Protection Report assessing the progress of species conservation through protected areas was released last week by the Map of Life (MOL) and its partners at COP16 in Colombia. The report focuses on insights derived from the Species Protection Index (SPI), one of three biodiversity metrics produced and maintained by MOL that have been adopted as indicators to measure global conservation progress under the Kunming-Montreal Global Biodiversity Framework (GBF). The SPI assesses how adequately species’ habitats are represented within protected area networks.

According to the 2024 findings, global documented protected area networks are about halfway toward meeting the protection goals for terrestrial land vertebrates and about 60% of the way toward meeting those goals for marine fish and mammals. In the past ten years, the addition of 2% of the total land area to the global protected area network has increased terrestrial SPI by 4 points, while an additional 4% of total ocean area gaining protection has increased marine SPI by 17 points.

“In the GBF’s ‘30 by 30’ target, countries worldwide have committed to rapidly grow the protected area network,” says Dr. Walter Jetz, the Principal Investigator of MOL and Jack and Laura Dangermond Scientific Chair of the E.O. Wilson Biodiversity Foundation. The SPI has been formally recognized as a component indicator for measuring progress towards Target 3, or 30 by 30. “Our assessment brings biodiversity back into conversations that have focused on area rather than actual outcomes for species. We find that some countries have managed to deliver substantial benefits for biodiversity by an ecologically informed prioritization of conservation actions.”

As the report highlights, these changes in the SPI have occurred disparately across regions, countries, taxonomic groups, and species. On land, Latin America and the Caribbean, Sub-Saharan Africa, Europe, and Australia and New Zealand all boast a regional SPI greater than 50, while in the seas, Micronesia, Melanesia, Eastern Asia, and Western, Southern, and Northern Europe have achieved the same. This progress has not been felt evenly by all taxonomic groups – while terrestrial mammals, birds, and marine mammals soar above the averages, amphibians, reptiles, and marine fish are lagging farther behind. At the country level, huge progress has been made in several countries while many others have remained stagnant in recent years. Some of these increases are thanks to newly designated national protected areas while others are due to national recognition of other effective area-based conservation measures, or OECMs, which include many areas where Indigenous peoples rightful sovereignty over their lands are formally recognized.

The SPI measures progress in area-based conservation not simply based on the amount of area gaining protection, but how well that area represents species’ habitats. For each species included in the SPI – which, for the 2024 edition, includes terrestrial vertebrates and marine fish and mammals, with trees and other taxa being added in the near future – MOL sets a target percent of protection coverage over that species' habitat, which is 100% if the species’ habitat is very small or 15% if the species’ habitat is widespread. When that target is met, the species gets a score of 100, and the average of all species’ scores across a country or other geographic area gives the SPI.

The new Species Protection Report highlights both countries that have achieved substantial SPI increases overall and those with the greatest increases in SPI relative to the additional area protected. In fact, one facet of the SPI as a conservation decision-support tool is to highlight those areas in each country that, if included in protected area networks, would achieve the greatest progress for species protection with the smallest amount of land. This Global Priority map can be explored on the Half-Earth Project Map.

Reflecting a core mission of MOL to provide best possible global information on species’ geographic distributions, the SPI is a rigorously calculated, species-level metric that quantitatively addresses individual species protection. In fact, the SPI is the only indicator for Target 3 that directly and quantitatively addresses the importance protected areas play for conserving species, making it a valuable tool for highlighting the exact species and areas contributing to SPI increases around the globe, as well as opportunities for future progress towards 30 by 30.

The Species Protection Report was developed in collaboration with the E.O. Wilson Biodiversity Foundation’s Half-Earth Project, GEO BON, Esri, Google, and other partners. The full report, along with detailed country- and species-level protection results, can be found at mol.org/indicators/protection.

Global Terrestrial and Marine SPI scorecards presented in the Species Protection Report. The breakdown by taxonomic group reveals that bird and mammal species’ habitats are substantially better protected than amphibian and reptile species on land, while in the oceans, mammal species are better protected than fish species.

Global terrestrial SPI in 2024 by country – one of the many map spreads from the report. In the map, more purple colors indicate lower national SPI while more yellow colors indicate higher national SPI.

In the past ten years, the protection score of the Atlantic White-Sided Dolphin, Lagenorhynchus acutus, has increased from 54 to 90, in part thanks to recent multinational efforts to establish marine protected areas in the international waters this species calls home. Credit: © Ryan Van Meter

Loveridge’s Forest Frog, Probreviceps loveridgei, is one of the species featured in the report. In the past ten years, this species’ protection score has increased from 5 to 97, a huge increase driven in large part by the upgrading of the Uzungwa Scarp, which harbors most of this species’ habitat, to Nature Reserve status by the Tanzanian government. Since 2014, Tanzania’s SPI has increased by nearly 16 points. Credit: © Lorenzo Vinciguerra

An example of a species list generated for a protected area in Peru.

Today you can explore the brand-new Map of Life Regions tool at [mol.org/regions] (mol.org/regions). For any region, anywhere in the world – a state, a national park, even your hometown – Map of Life can now deliver, within just a few seconds, a comprehensive biodiversity expectation for that region.

This feature is possible thanks to the extensive array of datasets that Map of Life has been compiling for the past decade – hundreds of local inventories, thousands of expert range maps, and millions of occurrence points. With this variety, Map of Life species lists are equipped with the type of evidence for each species: recorded species are those that have been observed within the selected area and recorded in an inventory or as an GPS-labeled occurrence point while expected species are those that are predicted to occur within the area based on expert range maps. And, users can trace each species to the exact dataset where the evidence for that species originates.

“While the interface of the tool is simple, there is so much work that has happened under the hood to power this scalable functionality and ensure accessibility in the tool design,” said Tamara Rudic, a communications specialist at the Yale Center for Biodiversity and Global Change.

Screenshot of the Map of Life Regions tool showing the list of birds with recorded evidence within the Massif du Ziama, a protected area in Guinea.

Created through a partnership with [the Field Museum] (https://www.fieldmuseum.org/), the new Regions tool aims to support biodiversity research and conservation around the world by providing on-the-fly generation of species lists for any area of interest. This partnership began in 2017 with the development of the early Biodiversity Dashboards interface which focused on providing species lists for Colombia, Peru, and Ecuador. Now, the team has scaled up functionality to the entire world and improved user accessibility, design, and data provenance with crucial feedback and support from the Field Museum and their partners in South America. In addition to providing the dataset source of each species, users can also view and filter the species list by threat status.

“Park managers on the front lines of conservation don’t have time to wade through millions of biodiversity records,” said Nigel Pitman of the Field Museum’s Keller Science Action Center. “They need to know now where to focus their efforts, and this tool helps give them that quick answer.”

Head to [mol.org/regions] (http://mol.org/regions) to select a country, state, or protected area, or create your own custom area, and download a species list generated on-the-fly. The whole team welcomes any feedback on the tool from our users, which you can [submit here] (https://mol.org/feedback), and would love to hear how you’re using it in your work. For more technical information on the workflows and infrastructure behind Regions, head to [mol.org/regions/faq] (https://mol.org/regions/faq) to read the full FAQ.

Stay tuned as we add new updates to the Regions tool over the coming months!

Two members of the field team at the XPRIZE Rainforest Semifinals in Singapore. Photo credit: Cat Kutz/XPRIZE.

It was a whirlwind of a week full of tweaking and fine-tuning for the Map of Life Rapid Assessments team during the XPRIZE Rainforest Semifinals competition. Backed by a fleet of semi-autonomous drones, remotely connected local species experts, and the Map of Life biodiversity platform, the team identified more than 150 unique species in Singapore’s central rainforest, propelling them to the Finals stage of the competition.

“I was so excited to hear the news that we had made it to the finals,” said Kalkidan Fekadu Chefira, a software engineer on the team. “I am honored to be a part of this team and the competition to help make impactful contributions in the field of biodiversity sampling and rainforest ecosystems.”

XPRIZE Rainforest is a global 5-year, $10 million competition to enhance our understanding of tropical rainforest ecosystems around the world. Incentivizing teams to innovate rapid and autonomous technology to expedite the monitoring of biodiversity and data collection, this prize aims to allow researchers to gain near real-time insights about the health and well-being of rainforests that can more immediately inform conservation action and policy, support sustainable bioeconomies, and empower Indigenous Peoples and local communities around the world. What makes the competition unique is that teams are prohibited from setting foot in the rainforest they’re surveying.

“Supporting local and regional stakeholders to more effectively bring biodiversity into their conservation decisions is a key goal of the Yale University Center for Biodiversity and Global Change and one of its flagship efforts, Map of Life,” said Walter Jetz, a professor of ecology and evolutionary biology at Yale and the team lead. “Together with a range of international science and impact partners, Map of Life is delivering evidence about local biodiversity, its threats and change worldwide. Map of Life Rapid Assessments (MOLRA) are an effort to link this global knowledge base to locally collected information from newly emerging sensor and automated monitoring technologies.”

XPRIZE Rainforest represents an outstanding opportunity to test and demonstrate the potential of MOLRA, according to Jetz. Together with partners from the Field Museum in Chicago, a team was formed to enter the competition. Alongside 12 others from around the world, the MOLRA XPRIZE team was selected to compete in the Semifinals in Singapore in June 2023, the first official field test of the solutions.

MOLRA XPRIZE field team during the Semifinals competition in Singapore’s Central Catchment Nature Reserve.

While this team of biodiversity scientists has long been collecting and analyzing species information, some parts of the competition landscape were relatively recent territory – namely, the deployment of unmanned aerial vehicles (UAVs) to remotely collect visual and audio samples from the site of interest. Employing a suite of customized off-the-shelf UAVs, the team devised a survey strategy to optimize sampling across habitat types and forest levels, from the leaf litter to the upper canopy.

“Unlocking the use of UAVs, particularly commonly available commercial drones, for remote survey of biodiversity around the globe has tremendous potential to improve our understanding of so many species and ecosystems,” said Kevin Winner, the lead data scientist on the team. “Not only within each local site but also more broadly throughout the region and across the globe, and to make these insights really actionable for decision makers across all scales.”

MOLRA technologies during the XPRIZE Semifinals. Right image credit: Cat Kutz/XPRIZE.

The collected samples were run through a machine learning pipeline to detect potential plant and animal observations and prioritize them for review by local bird, bat, bug, and botanical experts who authoritatively identified the digital specimens. “The goal is to extend the impact of local biodiversity experts,” said Nigel Pitman, a Field Museum scientist who coordinated a team of Singaporean plant experts during the semifinals. “Ideally, these new tools will allow those experts to visit more forests and record more species, and to do it with the speed that the conservation challenges demand.”

All stages of this process were supported by the MOLRA Dashboard: an interactive cloud-based interface that links Map of Life’s authoritative species information to local survey data. For any site in the world, the Dashboard is able to tap into Map of Life to generate a list of expected species and associated biodiversity and conservation insights, a feat made possible by years of effort by Map of Life to curate species data and develop top-of-the-line species distribution models and official biodiversity indicators.

In addition to readily accommodating new sensors and technologies, an important aspect of MOLRA is the effective remote involvement of experts of the local species, according to Jetz. “This magnifies the contribution that experts located nearby or far away can make.”

“Through Map of Life, the Yale Center for Biodiversity and Global Change, and the Field Museum, we’ve had many experiences integrating our biodiversity data and tools to conservation practitioners and decision makers,” said Alex Killion, a MOLRA team member. “A critical component of that process is linking in the end user at the beginning of the process. We feel digital specimens and a transparent process that involves stakeholders are crucial to develop trust and joint confidence in the reliability of the data, and co-ownership of the information and tools.”

At the close of the 24 hours Semifinals period, the team gathered a total of 2,199 visual and 292 acoustic samples with expected detections that led to a total of 1,419 species identifications, amounting to 153 unique detected species across plants, mammals, birds, reptiles, amphibians, and insects.

Species identified by experts during the Semifinals competition from a UAV photo. (left) An elkhorn fern, Platycerium coronarium, and (right) a brown soldier butterfly, Junonia hedonia.

Six teams are moving forward to the Final stage of the competition; Finals testing will take place in 2024. The winning team will survey the most biodiversity contained in 100 hectares of tropical rainforest in 24 hours and produce the most impactful real-time insights within 48 hours.

“We are thrilled to be advancing to the Finals stage and committed to further developing our solution for future deployments around the world, and to bridging local surveys with global data to develop new and unique biodiversity insights,” said Chefira.

The MOLRA XPRIZE team invites anyone interested to follow its progress and solutions at mol.org/xprize.

To learn more about the competition, visit xprize.org/Rainforest.

Members of the Map of Life Rapid Assessments local field team at the Semifinals in Singapore.

ArcNews Scientific Currents banner image.

BGC members co-authored an article for Esri’s ArcNews Spring Newsletter titled “There’s Hope for Achieving New Biodiversity Targets.” In this article, which is featured in the Scientific Currents column, we discuss the importance of the adoption of biodiversity indicators in a Monitoring Framwork alongside the goals and targets set forth by the Global Biodiversity Framework (GBF) and convey our hopes that these indicators, which include the Species Habitat, Protection, and Information Indices developed at the BGC, will help countries around the world measure and track their progress towards meeting the goals of the GBF.

Read the full article on the ArcNews website here.

A conceptual diagram showing the synergy of the three biodiversity indicators: the Species Habitat, Protection, and Information Indices.

BGC members co-authored a guest article on the Google Earth Engine Medium blog detailing the adoption of the Map of Life Biodiversity Indicators into the Global Biodiversity Monitoring Framework.

Excerpt:

“We are running out of time to conserve the world’s biodiversity — but the gig is not up yet. Ambitious conservation targets set forth by the Post-2020 Global Biodiversity Framework (GBF), signed earlier this week in Montreal, have instilled hope around the world as countries, organizations, and researchers unite to put biodiversity on the global agenda. With the GBF goals now in place, there is an urgent need to support local communities, governments, and businesses in their progress toward achieving the framework’s ambition.”

Read the full article here.

As COP15 came to a close in Montreal on December 19th, nearly 200 parties agreed to adopt the Kunming-Montreal Global Biodiversity Framework (GBF) and its 4 Goals and 23 Targets aimed at halting and reversing global declines in biodiversity.

Widely lauded as a “historic” deal for biodiversity, the GBF includes crucial language mandating ecological representation in protected area planning and management towards 30 by 30 and maintenance of the integrity and connectivity of ecosystems. Accompanying the GBF is the Monitoring Framework which outlines the indicators to be used for monitoring and reporting on nations’ progress towards achieving the goals laid out in the GBF.

The Species Habitat Index (SHI), Species Protection Index (SPI), and Species Status Information Index (SSII) have been formally adopted as component indicators by the framework to assist countries in both monitoring and decision-support for biodiversity conservation outcomes. Particularly, the SHI addresses Goal A, which seeks the maintenance and enhancement of ecosystem integrity, resilience, and connectivity, the reduction of species extinctions, and the safeguarding of genetic diversity, as well as Target 4; the SPI addresses Target 3, which seeks to ensure that areas of “particular importance for biodiversity” are effectively protected towards 30 by 30; and the SII addresses Target 21, which seeks to strengthen the monitoring of biodiversity and provide “best-possible” data to conservation managers.

Beyond monitoring countries’ progress towards the GBF goals, our suite of indicators provide crucial decision-support information from the individual species to national level. BGC Center members attending COP15 this month with our partners from GEOBON and Future Earth met with representatives from several countries around the world to discuss the opportunities available with these indicators and begin discussions about how our tools can best support conservation efforts in line with the GBF goals.

Figure 1 from Sandall et al.

In a study led by Yale BGC postdoc Emily Sandall and co-authored by former postdoc Stefan Pinkert and Walter Jetz, the most comprehensive global-scale dataset of odonate distributions available to date has been recently published and the data made freely available at MOL.org! Through a rigorous assessment of literature-published odonate checklists and point occurrence data from GBIF, as well as a novel approach to interpolating missing species-country combinations, they developed robust, up-to-date dragonfly and damselfly checklists for all countries!

To compile these country checklists, Sandall et al. performed a spatial cleaning of the occurrence data and a taxonomic harmonization of the raw species names from the literature and point data against the MOL Master Taxonomy for odonates – a crucial step in synthesizing large biodiversity data. To account for gaps in the published data, they additionally interpolated likely missed species in undersampled countries, resulting in a grand total of 31,569 unique species-country combinations in the final country checklists. The authors anticipate that gaps in this baseline dataset will be filled as more checklists are updated and more species described.

This dataset provides crucial baseline distributional data for odonates, a much needed update from the most recent work in odonate biogeography published over a decade ago. Sandall et al.’s work developing these checklists will have important contributions to regional, national, and intergovernmental efforts to effectively assess and manage dragonfly and damselfly conservation. Read the paper here and explore the dataset here!

Figure from Marsh et al.

More than 18,000 georeferenced expert range maps for all mammals are now available for exploration and download on the Map of Life (MOL) website thanks to the monumental efforts of the MOL team and over 100 incredible collaborators. For the past several years, this team has been working on a global compilation of all extant mammal ranges harmonised across three taxonomic authorities: the Handbook of the Mammals of the World (HMW), the Illustrated Checklist of the Mammals of the World (CMW), and the Mammals Diversity Database (MDD). This comprehensive harmonisation pinpoints where taxonomic discrepancies occur among these three databases and the IUCN, allowing researchers and conservationists to make more informed decisions about the taxonomies to which they subscribe. A crucial focus in this project has also been the assurance of future transparent, easily traceable updates to range maps, so the MOL team is currently working on a digital interface to facilitate expert collaboration on range map refinement - stay tuned for updates on this tool!

The data paper detailing the results of this ambitious undertaking was recently published open access in the Journal of Biogeography, and all range maps can be downloaded at https://doi.org/10.48600/mol-7r3j-8066 (HMW), https://doi.org/10.48600/mol-zzrs-q778 (CMW) and https://doi.org/10.48600/mol-48vz-p413 (MDD). Maps for individual species can also be viewed and downloaded, along with other species-level spatial data, on MOL’s species pages.

In a new study published in Methods in Ecology and Evolution, PhD candidate Muyang Lu, Postdoctoral Associate Kevin Winner and BGC Center Director Walter Jetz proposed circumventing the issue by partitioning niche variation into one-dimensional components and a dimensionality component. The new framework not only provides a simple solution to an old problem, but also paves the way for integration between empirical measures and theoretical results.

Read the article in full here!

The MOL team is excited to announce that an updated version of the Species Status Information Index (SSII) is now available! The SSII assesses how well nations’ available biodiversity data covers species’ expected geographic ranges. The SSII has been endorsed by GEO BON, IPBES, and the CBD as a rigorous indicator of species occurrence data gaps. Using the SSII, we assessed the taxonomic and spatial coverage of publicly available biodiversity records available through GBIF. Users can now explore and download national trajectories in closing spatiotemporal biodiversity data gaps from 1950 to present for terrestrial vertebrates. We hope that the SSII, along with other metrics, can help direct future data collection and mobilization to help understand and protect global biodiversity.

Check out the SSII here: mol.org/indicators/coverage

Growing threats to biodiversity require detailed, timely information on species’ status and trends in order to deploy conservation actions efficiently and effectively. Camera trapping, or the use of remote, motion-activated cameras, has grown quickly in popularity as a means to collect a massive number of observations of terrestrial mammals and ground-dwelling birds. This deluge of information on wildlife must currently be sifted through manually, limiting the scalability of this potentially transformative technique for global biodiversity monitoring.

To combat these challenges, Map of Life partnered with Conservation International, World Wide Fund for Nature, the Wildlife Conservation Society, the Smithsonian’s National Zoo and Conservation Biology Institute, the North Carolina Museum of Natural Sciences, and Google to create Wildlife Insights, a groundbreaking platform for scientists, conservationists, and the public to upload, analyze, and share camera trap images of wildlife. Central to Wildlife Insights’ breakthrough is the use of artificial-intelligence based species detection of images developed by Google which greatly reduces the time required to identify images.

Today, Wildlife Insights announced the unveiling the platform and nearly 4.5 million wildlife images, representing the largest, most diverse camera trap database in the world. Explore the platform here. Watch a short video by Google on how Wildlife Insights was developed.

Map of Life is working to develop global biodiversity indicators relevant to camera trapping observations to provide timely information on biodiversity status and trends. Dr. Ruth Oliver, a postdoc at Yale, has already begun work on identifying the places and species for which camera trapping provides the greatest boost in spatial biodiversity data coverage.

Map of Life is excited to support the development of the Wildlife Insights platform to facilitate near real-time biodiversity monitoring.

(Photo credit: Jon Markel)

Despite centuries of exploration, we have yet to discover many of the species that we share this planet with. And even for those we already know, we often know very little about their true geographic distribution. This ignorance about life on Earth fundamentally limits our ability to conserve it for future generations.

With this in mind, and in celebration of E.O. Wilson’s 90th birthday, the National Geographic Society (NGS) has recently announced two Requests for Proposals to promote two major types of biodiversity discoveries which will be guided by research conducted by the Map of Life, supported by the NGS and E.O. Wilson Biodiversity Foundation.

The first type of discovery supported aims to address the so-called Linnean shortfall, named after Carl Linneaus, the father of modern taxonomy. It sets out to help identify and describe the many still unknown species in existence before they might go extinct before they are ever discovered. Work by Map of Life, and specifically its team member

Dr. Mario Moura, a postdoc at Yale, will guide these efforts through research that highlighting areas of the world with the highest potential for the discovery of new species of amphibians, reptiles, mammals, and birds. These areas will be used to prioritize regions in which National Geographic Explorers may have greater chance of finding species unknown to science.

The second discovery follows Alfred Wallace, the father of biogeography, who sought to understand the geographic distribution of life. Even when we know a species exists, we often do not know where it exists, the so-called Wallacean short-fall.

Here, Map of Life in collaboration with partners (such as GBIF) has developed a “biodiversity knowledge growth” indicator (the SSII) in support of the Convention on Biological Diversity and the UN Biodiversity Assessments. This indicator highlights areas where our current understanding of species distributions is particularly poor because of limited data collection. Informed by indicator updates developed by Dr. Ruth Oliver, postdoc at Yale, these areas will be used to prioritize regions where efforts by National Geographic Explorers may be especially important in improving our ability to protect biodiversity.

The Map of Life team is excited to play a role in guiding exploration into discovering new, undescribed species and discovering where currently described species live.

The olinguito (Bassaricyon neblina) was the first mammalian carnivore discovered in the American continents in 35 years when it was described in 2013. (Mark Gurney/cc-by-3.0)

The Half-Earth Project

“The Half-Earth Project is founded on science, but at its heart is our transcendent moral obligation to all life.”
- E.O. Wilson

We are currently in a biodiversity crisis, with species going extinct at a rate 1000 times higher than the natural rate. Rather than passively documenting the decline of species, the E.O. Wilson Biodiversity Foundation founded their ground-breaking initiative: The Half-Earth Project. Edward O. Wilson’s book, Half-Earth: Our Planet’s Fight for Life (2016), proposes this monumental idea to save half the earth for the rest of life. Through the establishments of partnerships and supporting research, leadership, and engagement, the project’s mission is to help prioritize the preservation of biodiversity on half of the earth’s land and sea.

The key question is: What are the places to prioritize for this Half-Earth network? This is what the Half-Earth Project’s Mapping Core has set out to answer. Its mission is to assess the current state of global biodiversity, and examine which areas are of key importance for reaching Half.

Map of Life is leading the science behind the Mapping Core. This effort leverages Map of Life’s enormous biodiversity database and modelling tools, addressing tens of thousands of species and millions of occurrence records and includes a range of data partners (i.e. GBIF, UNEP-WCMC, IUCN). The Mapping Core is integrating data regarding the current distribution of biodiversity, biodiversity trends, human pressures, and protected areas to provide a comprehensive picture of conservation gaps and opportunities. Through collaboration with data visualization partner Vizzuality the Mapping Core is offering new dynamic ways to interact with and explore this information.

The current protected area network requires additional areas prioritized for conservation to more comprehensively protect biodiversity and connect landscapes

Mammal richness in South Africa’s Cape Region

On October 23, 2017, Map of Life joined the first ever Half-Earth Day, sponsored by the E.O. Wilson Biodiversity Foundation and hosted by National Geographic in Washington, DC. This full-day inaugural event started with a roundtable discussion, chaired by National Geographic Chief Scientist Jonathan Baillie, among some of the world’s leaders in biodiversity conservation, all of whom agreed that protecting half the earth is possible! Discussions included where and what should be prioritized for conservation, elements that should be considered for expanding the protected area network, restoring degraded lands, and keeping large wildlands intact.

Round table discussion among leading conservation scientists

Walter Jetz, Scientific Lead of the Mapping Core presenting initial results

Conservation in Action Panel: Q&A session

“The only hope for the species still living is a human effort commensurate with the magnitude of the problem.”
- E.O. Wilson

Inspiring conversation with Sean B. Carroll and E.O. Wilson

Live performance by Paul Simon

Stay tuned for the release of the Half-Earth Map, where you will be able to explore global biodiversity hotspots and see how the current global protected area network can be expanded to represent priority areas for conservation. The Half-Earth Map presents a novel way of advancing and communicating biodiversity information and of engaging users as the map comes to life. Follow us as we further refine our analysis and mapping efforts, putting rigorous science at the forefront of the global conservation movement.

Over the past year, we have been overhauling our database so that we can improve the performance of mol.org and thus providing you -our users- with a better experience. It is a real challenge to manage and visualize large volumes of data, and this change is part of our on-going effort to improve the efficiency of our website and spatial analyses. We have also developed some new features for the Global Biodiversity Mountain Assessment Mountain Portal 2.0.

Here are some new features you can enjoy:

1. Additional data, including more range maps, updated point occurrences, local inventories, and more.
2. Faster map loading speeds, particularly on the species page.
3. Descriptions and metrics for mountain regions.
4. Language support for an additional 4 languages (Spanish, French, German, and Chinese) in the species and regions pages. Portuguese will be coming soon!
5. The Datasets page is now live.
   

   New Map of Life Datasets page!

   In order to increase the loading speed of the species maps, some features are temporarily unavailable. This includes uncertainty buffers around point occurrences, as well as uncertainty and temporal point filters. We are working on bringing these features back without compromising the efficiency of the loading the map visualizations.

While these changes may seem subtle, we are really excited about all of the work that has been going on behind-the-scenes in order to increase our ability to develop better products for future initiatives.

Check out these new changes and let us know what you think! https://mol.org/feedback

The Global Mountain Biodiversity Assessment (GMBA) teamed up with Map of Life (MOL) to launch a new web-portal for the visualization and exploration of biodiversity data for over 1000 mountain ranges defined worldwide.

Global mountain inventory

In order to accurately predict potential changes in mountain biodiversity in response to drivers of global changes and develop sustainable management and conservation strategies, we must be able to define what exactly a mountain is, where mountains are in the world, and what species currently occur in those mountains.

More than 1000 mountain ranges around the world have now been described in a new study published in Alpine Botany by Christian Körner et al. (2016). Additionally, and for the first time, this global mountain inventory coverage has also been combined with expert range maps for approximately 60,000 species across different organismic groups and is being made available online through the Mountain Portal. The Mountain Portal is an interactive web platform provided by the Global Mountain Biodiversity Assessment of Future Earth and developed by Map of Life. With just a few clicks users can explore and download growing lists of mountain ranges and expected species. Downloaded data can then be used for a multitude of projects ranging from mechanistic studies on the evolution and ecological drivers of mountain biodiversity to the development of indicators in sustainability research.

With sponsorship from Map of Life IUCN Nepal has received a PEER grant from the US National Academy to collaborate on new web-based tools to support conservationists, researchers, and local communities in the region.Driven by demand for a consolidated, open source, and scaleable platform - JaibikMap - IUCN Nepal, with the help of Map of Life have partnered together to make vital information accessible to multiple stakeholders. This is part of an on-going effort to improve biodiversity outcomes, obtain up-to-date data, and engage the public. JaibikMap will leverage the power of Map of Life to visualize species range maps, develop upload tools, map species richness, and compare and predict future scenarios.

Snow leopard (Panthera uncia)

We are excited to announce a new feature to our website! It is now possible to explore the biodiversity in and around a selected region. Users can search for a region and explore which species occur in that area. Regions currently available for exploration include countries as well as states/provinces/territories for larger countries such as the United States, Canada, Australia, and India.

The detailed map further allows users to view what type of data is available in that region for a given species. For example, the Rufous-eyed Brook Frog, Duellmanohyla rufioculis, is an amphibian that is found in Costa Rica.

Detailed map of Rufous-eyed Brook Frog

We have a lot of exciting new announcements to make in the upcoming weeks. Check out our new features, share with your colleagues, friends and family, and let us know what you think!

Putting biodiversity in the palm of your hand just got easier. While there are many mobile apps that are either designed to help locate, identify, or report plants and wildlife, virtually all of them require an internet connection. Map of Life leads the pack in enabling all of these features while being used in remote areas, allowing you to leave your heavy guide books at home. Visitors to Denali National Park can pre-download species lists and park information before entering the park and even submit observations while offline!

Denali National Park is located in a rugged, remote part of the world, where visitors can count on not having network access while within the park. The park depends on its citizen science program to track wildlife occurrences and movements, which is driven by visitors reporting where and when they spot species. Map of Life has teamed up with Denali National Park to help educate visitors, as well as streamline the citizen science data collection process.

In Version 2.0 of the mobile app, users can download lists of species before headed into Denali National Park. While offline, visitors will have access to species lists and park information. Visitors can also report sightings while offline, and these records will be updated to the user’s dashboard once internet connection is re-established. Update to version 2.0 and tap on ‘Offline areas’ to get started!

We hope you enjoy the new features and stay tuned while we add more regions for download. Don’t forget to share with your friends and family, and leave us a review in the App Store.

Map of Life featured on Al Jazeera! (Note: Link not available within USA)

"Ever wondered which bird is making enough noise to wake you, or what strange creature scuttled under your bed while on holiday - a new free smartphone app is now available to answer those questions."

Map of Life app

Several weeks ago we launched the Map of Life app for iOS and Android. It delivers a simple field-guide for tens of thousands of species worldwide to the palm of your hand and tailored to where you are. With an ever-growing coverage and functions it allows to instantly record species and potentially contribute important data for research and conservation. The app has been enthusiastically received around the world and seen some first reviews.

A growing community

With over 25,000 downloads in the first eight weeks and already 500-1,000 regular daily users we are thrilled about the global uptake, rapid growth, and also the great feedback we are receiving. The app is available in six languages and we plan to add more in the near future.

Map of biodiversity search locations of app users:

Thousands of app users record observations

Naturalists worldwide have already been using the power of the app to record and share their species observations. Over 1,300 different species from all major groups have been recorded in the first two months, with many sightings for undersampled places and species that dearly need more biodiversity information. We are currently working on a curation process before all data will be shared broadly.

Cumulative map of user observations submitted through the app:

Get connected

App users can connect with their records in the app but also through an ever more powerful Dashboard on a dedicated web page.

** An example personal dashboard: **

Keep a list of species in your backyard or your regular walks, record the species seen on your trips, and develop a ‘life list’ of animals and plants seen. Learn more about how to record species here:

Quick tutorial on how to record species in the app:

For more information about the app, see our Help page, which provides instructions and FAQs about the app. Check back with us as we grow the app, spread the word, and share any feedback via the within-app options or by emailing us, and - enjoy!

Map of Life has released a new species mapper. It provides all spatial data available for a species in the Map of Life, arranged by type and source, in a single interactive dashboard and map. Filter point observations by year and spatial uncertainty (large for old records with little documentation or surveys covering large areas, small for those new GPS contributions). Interrogate individual records and their sources by clicking on the map. Explore how different kinds of data tell different stories about species distributions. In the example of the Copper sunbird shown below, points, expert maps, and survey data all would result in very different assessments of the species’ range and environmental associations. Explore the map interface for this species, and check back as we add more facets, filters and tools to this map interface.

New MOL detailed map interface.

Nature reserves have a vital role for protecting biodiversity and its many functions. However, there is often insufficient information available to determine where to most effectively invest conservation efforts to prevent future extinctions, or which species may be left out of conservation actions entirely.

To help address these issues, Map of Life, in collaboration with Google Earth Engine, has now pre-released a new service to pinpoint at-risk species and where in the world that they occur. At the fingertips of regional naturalists, conservation groups, resource managers and global threat assessors, the tool has the potential to help identify and close key information gaps and highlight species of greatest concern.

Take the Tamaulipas Pygmy Owl, one of the smallest owls in the world that is restricted to highland forests in Mexico. The consensus range map for the species indicates a broad distribution of over 50,000 km2:

Left: Tamaulipas Pygmy Owl (Glaucidium sanchezi, photo credit: Adam Kent). Right: Map of Life consensus range map showing the potentially habitable range of this species.

But accounting for available habitat in the area using remotely sensed information presents a different picture: less than 10% of this range are forested and at the suitable elevation.

Users can change the habitat association settings and explore on-the-fly how this affects the distribution and map quality. This refined range map now allows a much improved evaluation of the owl’s potential protection. Furthermore, the sensitivity of conservation assessments to various assumptions can be directly explored in this tool.

The owl’s potential protection is likely to occur in only around 1,000 km2 that are under formal protection, representing seven reserves of which only two have greater than 100 km2 area. This is much less than would be desirable for a species with this small a global range.

Another species example, the Hildegard’s Tomb Bat, is similarly concerning: less than 6,000 km2 of suitable range remains for this forest specialist in East Africa, with less than half currently under protection.

A demonstration of this tool for 15 example species was pre-released at the decadal World Parks Congress in Sydney Australia last November to the global community of conservation scientists and practitioners. In the coming months this interactive evaluation will be expanded to thousands more species, providing a valuable resource to aid in global conservation efforts.

Read the article on Google Research Blog http://googleresearch.blogspot.com/2015/01/map-of-life-preview-of-how-to...

Use Map of Life to explore the evolutionary most distinct species at species.mol.org/info. For example, the Giant Ibis or the Oilbird.

Or use the species list tool map.mol.org/lists and search for birds to learn about how places differ in the distinctness of their assemblages.

Jetz, W., G. H. Thomas, J. B. Joy, K. Hartmann, D. Redding, and A. O. Mooers. 2014. Distribution and conservation of global evolutionary distinctness in birds.Current Biology 24, 1–12, May 5, 2014 http://www.cell.com/current-biology/fulltext/S0960-9822(14)00270-X

The study quantifies evolutionary distinctness (ED), i.e. a species’ contribution to the total evolutionary history of its group, for all of the world’s 9,993 bird species and assesses which species are both distinct and rare (high EDR) or distinct and threatened (high EDGE). Species representing the most evolutionary history over the smallest area as well as some of the most imperiled distinct species are often concentrated outside the species-rich regions and countries, suggesting they may not be well captured by current conservation planning. The study demonstrates that with most species likely remaining ecologically understudied, combining growing phylogenetic and spatial data may be an efficient way to retain vital aspects of biodiversity.

Linking species values for evolutionary distinctenss (ED) and its rarity (EDR) to their geographic distribution supports identification of key potential priority areas for conserving phylogenetic diversity.

Potential priority areas for conservation for saving at least 60% of imperiled avian phylgenetic diversity following area selection by species evolutionary distinctness (ED, top 131 evolutionary distinct species). For details, see Figure 6 in study.

Potential top “conservation gap” cells for saving at least 60% of imperiled avian phylogenetic diversity. Cells in green flag the potential 113 top EDR “conservation gap” cells, red the additional cells ED based prioritization identifies, and orange further cells that only a “Random” (i.e. non-ED or –EDR focused) selection among Imperiled species would prioritize. For further details, see Figure 6 in study.

Map of Life lets you search by species name across the 366 million records we’ve imported so far. These records comes from fifty-four different datasets, some of which use different species names to refer to the same species. Last September, Rod Page pointed out one particular case:

The problem here is one of synonymy. A species may be referred to by a number of names over the course of its history: for example, the western hoolock gibbon, known today as Hoolock hoolock, was known asHylobates hoolock until at least the 1980s, when the name Bunopithecus hoolock was gradually adopted as the correct one. The species was then renamed Hoolock hoolock in 2005. (If you have access to an academic library, you can find all the details in Mootnick and Groves, 2005). Only one of these names is considered valid today; all the alternate names are known as synonyms.

Map of Life’s records come from a wide variety of sources, from century-old checklists to surveys carried out in the 1950s to expert range maps drawn in the 21th century. We have records for the western hoolock gibbon under all three names — Hoolock hoolock is used by the IUCN Red List, Bunopithecus hoolock by the WWF Ecoregion Species Checklists, and Hylobates hoolock by GBIF. This is a relatively simple case: the World Register of Marine Species (WoRMS) lists six alternate names for the Giant Pacific octopus. When you search for a name on Map of Life, the search results ought to contain not just the searched name but all alternate, synonymous names as well.

We decided that the best way to implement this would be by developing an in-house, expert-curated list of synonyms and accepted names, and to supplement these by using the new GBIF Species API. There are a wealth of options available today when picking web services for species name resolution, many of which make their entire list of synonyms available for download. We picked GBIF because of the large number of taxonomic checklists it incorporates — 270 separate checklists, including important taxonomic databases such as ITIS, WoRMS, the Catalogue of Life, Mammal Species of the World and others. These checklists cover every kingdom of life, giving us wide taxonomic and spatial coverage through a single JSONP query. It also allowed us to reuse our code for accessing this API from our work on name validation in OpenRefine.

When you search for a name on Map of Life, this is what happens:

1. Before anything else, we search for your query on Map of Life and present you with the results as quickly as possible, as we always have.

2. As you look through the direct search results, we search for your query in our internal list of synonyms. This table contains only vertebrate synonyms for now. If we find a match, we add the alternate names to your search.

3. If we do not find a match, we try to match your name against all of GBIF’s hundreds of checklists. If we find the queried name there, we add every valid name recognized for that species by any checklist to your search.

This turns out be a “good enough” solution for an incredible variety of names. Try searching for Caminus osculosus (a sponge), Octopus dofleini (an outdated name for the Giant Pacific Octopus), Anser hutchinsii (an outdated name for the Cackling Goose), or even the rotifer Lecane kasumiensis.

Synonymy on Map of Life isn’t completely solved yet: for example, we currently return only one of the two possible synonyms for Hoolock hoolock. This is because we currently look up only the valid name of the species you search for: a search for Hylobates hoolock will display records stored under its valid name,Hoolock hoolock, but will not display records stored under its alternate synonym, Bunopithecus hoolock. The next step is to look up not just the valid name, but all synonyms ever used to refer to that name, so that we can find every record which might be relevant to your search. This should be achievable using GBIF’s/species/search API call, as long as we make sure that these searches can be made fast and responsive, and don’t add too many unhelpful names to your search.

What do you think of our new feature? Please let us know if you have any problems with it, or have suggestions on how we can improve it!

of Life has grown significantly to include almost all taxa. This now takes us far beyond the focus on terrestrial vertebrates of the original Map of Life demo website launched almost a year. If you haven’t peaked at the Dashboard in a while, or searched on your favorite plant or invertebrate species, try it now! Whether its trees of North America, palms of the New World, or the beetles of Canada and Alaska, there is more to discover than ever before. Try out mappinglife.org/Socratea exorrhiza (the Walking Palm) to get a flavor. And check back for additional data sets in the future.

We have also made significant improvements to the user experience, and one highlight is the way you can now retrieve information about underlying biodiversity data sources right from the map. With a species mapped, set the “Identify Layers” option to “On”. You can now click anywhere on the map and get more information about which data sources support the occurrence of a species in the area. You’ll see a pop-up box with the different data types, and when you click on a data type, you can look at the individual records more fully, even getting links to the original sources.

We’ll be announcing a lot more new and exciting developments on Map of Life in the near future, so we hope you’ll check in often and give us continued feedback.

Your Yale and Colorado Map of Life Team

A quick Map of Life update as we head into the winter holidays. The big news is that you now have much more control over the look and feel of the maps via layer styling! Lets take a peek how that works. Select a taxon, say, something winter holidayish like this: http://www.mappinglife.org/Rangifer_tarandus. Or if you prefer to not be reminded about wintery cold, take a look at geographic information for the Eastern Yellow-Billed Hornbill (http://www.mappinglife.org/Tockus_flavirostris.

In the layers widget, you can style all to one color by selecting “style all” or you can individually edit the style of a layer by selecting the left-most icon, which is a symbol showing the layer “view”. For points, it default to a red dot, for others a solid fill color. When you click it, a layer styling pop-up box will appear where you can select a fill color, border, width and opacity. For range maps, where there are many colors representing different part of a species range, you can select each color separately. Take a look especially at the gridded survey for the Eastern Yellow-Billed Hornbill ,and try changing the color and add a one pixel border – its a nice way to really bring that kind of data forward on the map. Try it out, tell us what you think! We’ve been thinking about this one for a long time and so great to have it finally available for you to use!

More next year! Your Map of Life Team.

We are excited to announce a major upgrade to Map of Life! Lets walk through all the changes:

1. An upgrade to the user interface. You’ll immediately notice one useful feature — you can easily hide most of the widgets (e.g. the search widget, the layers widget) so that you can more easily explore the maps. You can just as easily show the widget again via open/close arrows. We have also moved elements around to be more sensible, so that the species list tool and species search tool are both at the top of the mapping application, and most of the other, ancillary map controls are at the bottom. The new design really optimizes screen real-estate for looking at maps, which is what we are all about.
2. The species list tool is much easier to use. You just need to click anywhere in the map when the tool is turned “on” and you get results. You can toggle the tool ON/OFF easily, in case you don’t want to have clicks generate list results.
3. You should definitely click on the “dashboard” for two reasons. First, the dashboard has been completely re-designed. Our initial dashboard was a blocky table of providers and sources. The new one is a much nicer list of datasets, explaining the source of those data, the type of dataset, and number of species names and records. The very top of the dashboard provides some summary statistics over all the datasets. You can easily filter a list by using the handy text boxes also near the top of the dashboard. If you enter, for example, “Loc” into the “type” textbox, you filter just to “Local Inventories”.
4. The second reason for clicking the dashboard is to see the 36 new datasets included in Map of Life. These new datasets include a new “type” of dataset, called a “gridded survey”. We have ten gridded survery datasets, mostly bird atlases from Africa. You can see how these gridded surveys display on Map of Life – as “cells” of different sizes representing presences from survey work. Search on an African bird taxon such as “olive sunbird” to check out these gridded products.

Map of Life is growing fast! We expect a lot more date to be made available soon and we very much hope you want to check it out again if you haven’t seen it in a while. Although the core remains the same, there are major additions and improvements across the board!

We have been so excited to see (and read about) all the interest in Map of Life since we launched our public beta in May 2012. Since launch, we’ve been quietly and industriously working on many new features and growing the data that Map of Life makes available. At the same time, we have been working hard to streamline and boost performance. A lot of this has been happening in the background, but we wanted to tell you a bit about a couple new features now live on the site and to also welcome some new folks to the team. To keep this short, you can learn all about new team members on our People page, but welcome Tom Auer (Yale), Peter Erb (CU Boulder) and Carsten Meyer (Georg-August-University of Göttingen).

Now onto the fun stuff. Our big news is that we have a much enhanced species list tool developed in the Jetz Lab. To try the new tool out, just go to our mapping tool, and right-click (or ctrl-click on Macs) on a spot on the globe, and you will get a list that includes tabs for images of species found at that spot, along with a chart showing percent of species at different levels of threat as defined by the IUCN (International Union for Conservation of Nature) Red List. You can also now download the list as a comma-delimited file. The other main feature is that now you auto-zoom to the broadest extent of layers when you hit “Map Selected Layers”.

More features and datasets are coming soon, so stay tuned! And please do send along feedback. Your suggestions and thoughts continue to inspire us.

This is a lits of press coverage for Map of Life in the last year. Please let us know about any typos, mistakes or broken links in this list!

• BM, Map of Life pokazuje vam obitavališta svih živih bića: Od vodozemaca do sisavaca, IndexBlack: May 17, 2012.
• Map of life — каталог информации о биологических видах на Земле, Habrahabr.
• Ο Χάρτης της Ζωής δείχνει πού ζει κάθε είδος του πλανήτη, news.in.gr.
• Interaktywna mapa rozmieszczenia gatunków zwierząt na interfejsie Google Maps, wkyop.pl.
• Ben Coxworth, Map of Life shows distribution of any species throughout the world, gizmag: May 17, 2012.
• Интерактивная карта животного мира, Dirty.ru.
• John Burn-Murdoch, Where is the world’s wildlife? Interactive map plots global species distributions, The Guardian Data Store Show and Tell: May 23, 2012.
• Startavo interaktyvus pasaulio „Gyvybės žemėlapis“ žemėlapis, May 17, 2012.
• Isabel Palma, Novo portal mostra distribuição das espécies no mundo, Naturlink: May 21, 2012.
• Map Life: El catálogo en línea para ubicar especies animales y vegetales, emol: May 21, 2012.
• Sabrina Richards, Online Map of Life, The Scientist: May 11, 2012.
• Eric Gershon, ‘Map of Life’ aims to show all living things on the planet, Yale News: May 10, 2012.
• Το απόλυτο εργαλείο για τη ζωή στον πλανήτη, Newsbeast.gr: May 19, 2012.
• Find locations of 25,000 species on new interactive map, Innovation on NBCNEWS.com: May 11, 2012.
• Pogledajte sav život na Zemlji, B92: May 17, 2012.
• ‘Map Of Life’ Interactive Program Shows Locations Of 25,000 Species, HuffPost Green: May 14, 2012.
• New ‘Map of Life’ project aims to show distribution of all plants, animals on planet, University of Colorado Boulder: May 10, 2012.
• Térkép készült az állatok élőhelyeiről, index.hu: May 16, 2012.
• Find Out Where Any Species Lives with the “Map of Life”, Outdoorhub: May 21, 2012.
• Brittany Anas, CU scientist helps create map of worldwide plant, animal distribution, Daily Camera: May 19, 2012.
• ‘Map of Life’ tracks animals around the globe, Futurity: May 11, 2012.
• IanWang, Map of Life, Anole Annals: September 7, 2012.
• The Map of Life, Google Maps Mania: April 11, 2012.
• Learning About the Natural World With Virtual Tools, Seventh Generation: June 1, 2012.
• Map of Life Website Will Catalog and Track Every Plant and Animal Species, treehugger: May 21, 2012.
• Duncan Geere, ‘Map of Life’ will track every animal and plant in the world, Wired.co.uk: May 14, 2012.
• Deanna Conners, Scientists seek feedback on new global Map of Life, EarthSky: June 7, 2012.
• New Interactive Web site Maps Distribution of Global Species, Yale Environment 360 Digest: May 10, 2012.

It’s been an exciting month for Map of Life! We had a great time at TDWG 2011 in sunny New Orleans, where John Wieczorek and I presented Map of Life‘s big dream: to use existing maps to make better maps of where species actually are. John and Aaron Steele also presented some radical ideas about hooking CouchDB and CouchApp together to build simple, powerful applications. Their switch in strategy made us wonder if perhaps we could pull that off with Map of Life, too.

It was in this frame of mind that we attended Javier de la Torre's demonstration of CartoDB, a Google Fusion Table-like application to store and render mapping data. The more we saw, the more we liked: open-source (http://github.com/vizzuality/cartodb) (and available on GitHub!), based on PostGIS on PostgreSQL (already our platform of choice), and incorporating Mapnik, the super-fast tile rendering engine we discussed in our last blog post. They’re also quick to respond to our requests: last week, CartoDB added support for per-request tile styling, an essential feature for the next phase of our development.

Over the last two months, we’ve been working on moving our map tiling infrastructure to leverage CartoDB while continuing to use Google App Engine for indexing and searching. Although there are still some small glitches to work out before we can claim full success, our system now works in two parts:

A set of scripts which upload data into a CartoDB database, and; A frontend which queries and accesses that database to create a map to show our users. In so doing, we’ve reaped the rewards of a much smaller, simpler code base. Many of the more complicated tasks we were doing earlier, such as indexing our attributes or drawing the map layers, are now being handled by programs perfectly designed to take on these tasks (PostgreSQL and CartoDB respectively). So our job has been simplified to doing what we do best: managing the data, combining it easily and quickly in our front end, and analysing it for global patterns on our back end. We’ll be working to further simplify this upload process soon, and we’ll be showing off more of our new architecture shortly. Stay tuned!

Welcome back to the Map of Life blog! I’m Gaurav Vaidya, a first-year graduate student at the Guralnick lab in beautiful Boulder, Colorado. I joined the Map of Life team just under two months ago, and have been having a great time working on the project. In these two months, Map of Life has had a lot of fantastic new features approaching completion, and we thought the time was ripe to show some of them off to you!

Our most impressive new feature is our map rendering. As you may recall from earlier blog posts, mapping is handled by our backend, set up on a Linode VPS server. Aaron recently restructured our backend to useWindshaft, a high-speed map tiler generously released under an open-source license by Vizzuality, based on cutting-edge open-source tools such as Mapnik, PostGIS, Redis and node.js. Between Windshaft and Aaron’s work on HTML5 canvas, we’ve achieved some unbelievable results. At the moment, we’re rendering tiles without caching in the hundreds of milliseconds time-frame. This includes support for species occurrence data, protected areas, expert species range maps, ecoregions or any other geo-referenced vector or point data you care to throw at it. Aaron is currently working on merging these innovations into our main data preparation work flow.

Meanwhile, John has been busy adding raster environmental layers to Map of Life, probably with PostGIS’ upcoming raster support. Supporting raster layers is a first step towards linking all the species geographic distribution data already in Map of Life to local environmental variables such as climate, land cover and vegetation. This will also help us facilitate analyses on our platform, meeting one of the key goals for Map of Life. We’ll definitely be talking more about the planned analyses in future blog posts, so stay tuned!

Map of Life depends on data producers, compilers, and aggregators to add their data to the project, so it’s vitally important to ensure that they can do so quickly and easily. With a lot of help from the entire team, I am taking a first stab at this process. Before the TDWG 2011 Annual Conference (only a week away!), we hope to have all the scripts in place to provide an efficient pipeline from shape files and accompanying Map of Life-specific metadata to pretty, searchable layers on your favourite browser. So far, we’ve managed to compress most of the functionality we need into one easy-to-use program. This is a great area of Map of Life on which to have started, since it lets me connect with all the components of the software — from data preparation to map visualization — while also giving me a chance to work closely with the entire team.

There are many other exciting things we’d like to talk to you about, from analyses we have planned, to our TDWG demonstration next week, to the first release of a demo you can play around with yourself. For now, though, this brief glance will regrettably have to suffice. Please ask us any questions in the comments — it’s a huge help for us in gaging interest in features for the software, as well as for topics we need to cover in future blog posts. As always, Map of Life’s source code and open issues are available online, so please do contact us or contribute there if you have any specific concerns.

Map of Life has been chugging along for about 6 months now in its current configuration and now seems like as good a time as any to step back and consider how far we have come and what might be next. The team working on Map of Life is such an interesting one. Geographically we are spread out across the United States, from the East Coast (Yale University) to the Midwest (University of Kansas), Mountain West (University of Colorado) to the Pacific Coast (University of California, Berkeley). We are also diverse by country of origin (Australia, Germany, U.S.A.), academic training (computer science, ecology, evolution, informatics) and skill set (programming, systems engineerings, informatics, macroecology, systematics, etc). A gratifying part of the first six months, for me, is that these differences and diversity has translated into a strong working relationship and collaborative spirit, where the strengths of the group, not the weaknesses, have multiplied. I think this likely reflects a strong impetus to meet regularly, as often as three times a week, via cell or Skype, to synchronize efforts. Plus, good peeps and – turns out – we like working with each other!

So what have we accomplished with all this good will and great vibes? A lot, as it turns out! Much of that is “behind the scenes”. Andrew Hill and Aaron Steele have been bouncing great ideas back and forth about how to create an information architecture that is robust, scalable and efficient. We’ve put together a broad technological overview. As it stands now, and looking back, we have done a lot. First, we deployed a cloud-based copy of the Catalogue of Life, accumulated a large set of range maps for amphibians and mammals, checked taxonomy of those range maps against the Catalogue of Life database, and provided an initial mechanism to search those maps. Next we have developed the means to display range maps via Google Maps, using a map tiling tool named Mapnik, and developed some initial user interface frameworks and designs. We are currently polishing off access and display of species occurrence data points. All of this is great, but we are still treading in known waters. The excellent AmphibiaWeb project has also developed the means for displaying range maps and occurrence data points, for example.

Soon we will be pulling together some new types of distribution data such as “occurrence polygons” — places where species have been described via species list — and habitat preferences such as “wet broadleaf forests” or “shortgrass prairie”. These are new challenges for storage, query and visualization. An even greater challenge will be trying to provide all these sources of knowledge in a single search and user interface. Exciting times for Map of Life! We are looking forward to having some demonstrations soon, so you can try out some Map of Life features. Stay tuned (and thanks for reading).