Mexico’s Mapping data efforts

1 Mexico’s Mapping data effortsAna Isabel González, Yolan...
Author: Eva María Salas Pérez
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1 Mexico’s Mapping data effortsAna Isabel González, Yolanda Barrios, Silvia De Jesús, Nubia Morales and Patricia Koleff

2 National Commission for the Knowledge and Use of Biodiversity (CONABIO)Intersecretarial Commission funded in 1992 with the legal mandate to develop and maintain a National Biodiversity Information System (NBIS). No actualizada Invasive Species was mentioned by the secretary of Environment as one of the threat during the presidential event which took place during the 20 years festivities of conabio, REPORT TO THE PRESIDENT SUSTAINING ENVIRONMENTAL CAPITAL: PROTECTING SOCIETY AND THE ECONOMY Executive Office of the President President’s Council of Advisors on Science and Technology - july Another important benefit of the database is the ability to map the spread of invasive species and their effect on native ecosystems, which helps enable effective control mechanisms. In these ways, CONABIO provides a solid foundation for the conservation and sustainable use of Mexican

3 National Biodiversity Information SystemSatellite images Digital cartography -Environmental -Socioeconomic Specimen and occurrence databases Species data Catalogues and authority files Statistical, analytical and modeling tools, bioinformatic developments National and international expert networks SNIB Constantly updated Information from projects supported by CONABIO, data repatriation and experts´ collaboration 11,223,600 11,223,600 Specimen records (5th of May 2017)

4 Information layers Curatorial or observations data (event date, field number, catalog number, etc.) People, groups or organizations responsible for recording and identifying occurrence data Abbreviation or Acronym (official names) where the specimen has been entrusted SPECIMEN PERSONS & GROUPS COLLECTIONS & INSTITUTIONS GEOGRAPHIC BIBLIOGRAPHIC Locality description, coordinates, elevation or depth, municipality, state and country, etc. Bibliographic references associated by specimen o name TAXONOMIC Las capas de información se interrelacionan entre si. Las capas que son eje de la información son la de ejemplar y la taxonómica. La capa de información taxonómica puede no estar vinculada a la capa de ejemplar, es decir, se pueden ingresar datos de una especie sin que necesariamente se incluya un ejemplar, pero no al revés un ejemplar no puede ingresarse sin conocer su identidad (nombre científico) GRUPOS Y PERSONAS Datos relacionados con la información capturada de nombres de las personas que se dan de alta para ser asociados a un grupo de colecta o un grupo de determinación. INFORMACIÓN DEL EJEMPLAR Datos relacionados con la información contenida en la etiqueta que acompaña al ejemplar resguardado en una colección biológica científica, observado o reportado en una publicación. INFORMACIÓN TAXONÓMICA Nombres de los taxones y la correspondencia con su nivel taxonómico dentro de un sistema de clasificación o catálogo de autoridad. Datos relevantes sobre la historia de vida de una especie INFORMACIÓN GEOGRÁFICA Información sobre la ubicación del sitio de colecta u observación del ejemplar o de la especie, refiriéndose básicamente a la información geoespacial: las coordenadas geográficas (latitud, longitud), la descripción o nombre de la localidad, el municipio, estado y país. INFORMACIÓN BIBLIOGRÁFICA Referencias bibliográficas que contienen información del ejemplar (artículo donde se reporta la existencia del ejemplar, o el muestreo y la recolecta realizada) o del nombre del taxón (nombre común, distribución, información relevante sobre la historia de vida). COLECCIONES E INSTITUCIONES Información de los nombres, siglas o acrónimos oficiales de las instituciones y colecciones mexicanas donde están resguardados los ejemplares recolectados. Taxonomic names in hierarchy arrangement, according to a classification system. Common names, uses, distribution, relevant life history information

5 Information layers & Quality controlOmission Persons & groups Data entry Specimen Context Taxonomic-biogeographic Redundancy Geographic Convention Bibliographic Homogenize Information layers (6) Collections & Institutions Types of errors (7) Incorrect data (inconsistency) Quality control process considers seven types of errors: omission: the absence of data, data entry: incorrect spelling, spaces between characters or incomplete words, context: data that does not correspond to the definition of the field where were captured; redundancy: repeated data or records; convention: data captured without standards; homogeneize: lack of homogeneity in the data; Incorrect data (inconsistency) illogical data.

6 Advanced data cleaningA) Nomenclatural and Taxonomic Error Identification certainty (synonyms) Spelling of names Scientific names Common names Infraspecific rank Cultivars and Hybrids Unpublished Names Author names Collectors’ names B) Spatial Data Data Entry Georeferencing C) Descriptive Data D) Documentation of Error E) Visualisation of Error For records we follow the Darwin Core Standard For species we follow the Plinian Core Standard

7 Annual increase of species names>150 taxonomists >50 institutions ~70 projects 2 postdocs

8 National Invasive Species Information SystemNational Biodiversity information System (SNIB) Quality control Species records Species information Inf. Requests Technical opinions Gaps Naturalista Experts NISIS Risk assessments Projects

9 Conabio´s Geoportal

10 Citizen Science

11 Enciclovida http://bios.conabio.gob.mx/

12 Potential distribution maps for risk analysisPotential distribution of Trachemys scripta elegans in Mexico (Map by Jesús Alarcón, Conabio)

13 Finding high priority areas at riskTerrestrial priority sites Source: Conabio et al. 2007 (Map at the right by Jesús Alarcón, Conabio)

14 Cactus moth (Cactoblastis cactorum)Source: Dr. Juan Fornoni Project JE002 Conabio Orange and yellow lines: Similar ecological areas for the moth Areas in blue: Species accumulation of Opuntia Source: Dr. Jorge Soberón, Conabio Potential distribution and genetic diversity of the Cactus moth Photo: FAO/IAEA Project, Conabio

15 Potential distribution/Climate changeDr. Enrique Martínez Meyer (UNAM) and Angela Cuervo (Conabio) Potential distribution (current and future) of high risk invasive species for Mexico (GEF-PNUD)

16 Merci! Thank you! ¡Gracias!Acknowledgements to CONABIO’s staff, especially to: S. de Evaluación de Ecosistemas: Ángela Cuervo, Jesús Alarcón, Wolke Tobón S. de Catálogos de Autoridades Taxonómicas: Diana Hernández and her team S. de Inventarios Bióticos: Liliana Lara and her team S. Información y Análisis: Sonia Careaga and her team S. de Informática: Emmanuel Robles and his team Dir Gral de Geomática: Rainer Ressl S. de Sist de Inf Geográfica: José Manuel Dávila and his team Dir. Gral de Comunicación de la Ciencia: Carlos Galindo and his team Dir. Gral de Proyectos Coord. Gral Jurídica To Dr José Sarukhán And to all researchers and institutions that tirelessly continue to work and share their experiences and knowledge with us. Especially: Roberto Mendoza, Heike Vibrans, Jordan Golubov, Ana Ortiz Monasterio, Eduardo Rendón, Federico Mendez, Alfonso Aguirre, Enrique Martinez, Gustavo González, Paco Navarrete, Eduardo Jiménez, Mayra Valdez, Gustavo Torres, Carlos Ramírez, Humberto Mejía, Juan Antonio Ocampo, Francisco Espinosa, Ek del Val, Gabino Rodríguez, Juan Jacobo Schmitter, Gerardo Suzan and many many more… Patricia Koleff Ana Isabel González Yolanda Barrios Silvia De Jesús Nubia Morales Georgia Born-Schmidt Jordi Parpal Rodrigo Mejía Conabio Liga Periférico-Insurgentes Sur 4903 Col. Parques del Pedregal 14010, Tlalpan, Mexico City MEXICO