Cargando…
A predictive model for the ichnological suitability of the Jezero crater, Mars: searching for fossilized traces of life-substrate interactions in the 2020 Rover Mission Landing Site
Ichnofossils, the fossilized products of life-substrate interactions, are among the most abundant biosignatures on Earth and therefore they may provide scientific evidence of potential life that may have existed on Mars. Ichnofossils offer unique advantages in the search for extraterrestrial life, i...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8466086/ https://www.ncbi.nlm.nih.gov/pubmed/34631304 http://dx.doi.org/10.7717/peerj.11784 |
_version_ | 1784573041752145920 |
---|---|
author | Baucon, Andrea Neto de Carvalho, Carlos Briguglio, Antonino Piazza, Michele Felletti, Fabrizio |
author_facet | Baucon, Andrea Neto de Carvalho, Carlos Briguglio, Antonino Piazza, Michele Felletti, Fabrizio |
author_sort | Baucon, Andrea |
collection | PubMed |
description | Ichnofossils, the fossilized products of life-substrate interactions, are among the most abundant biosignatures on Earth and therefore they may provide scientific evidence of potential life that may have existed on Mars. Ichnofossils offer unique advantages in the search for extraterrestrial life, including the fact that they are resilient to processes that obliterate other evidence for past life, such as body fossils, as well as chemical and isotopic biosignatures. The goal of this paper is evaluating the suitability of the Mars 2020 Landing Site for ichnofossils. To this goal, we apply palaeontological predictive modelling, a technique used to forecast the location of fossil sites in uninvestigated areas on Earth. Accordingly, a geographic information system (GIS) of the landing site is developed. Each layer of the GIS maps the suitability for one or more ichnofossil types (bioturbation, bioerosion, biostratification structures) based on an assessment of a single attribute (suitability factor) of the Martian environment. Suitability criteria have been selected among the environmental attributes that control ichnofossil abundance and preservation in 18 reference sites on Earth. The goal of this research is delivered through three predictive maps showing which areas of the Mars 2020 Landing Site are more likely to preserve potential ichnofossils. On the basis of these maps, an ichnological strategy for the Perseverance rover is identified, indicating (1) 10 sites on Mars with high suitability for bioturbation, bioerosion and biostratification ichnofossils, (2) the ichnofossil types, if any, that are more likely to be present at each site, (3) the most efficient observation strategy for detecting eventual ichnofossils. The predictive maps and the ichnological strategy can be easily integrated in the existing plans for the exploration of the Jezero crater, realizing benefits in life-search efficiency and cost-reduction. |
format | Online Article Text |
id | pubmed-8466086 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-84660862021-10-08 A predictive model for the ichnological suitability of the Jezero crater, Mars: searching for fossilized traces of life-substrate interactions in the 2020 Rover Mission Landing Site Baucon, Andrea Neto de Carvalho, Carlos Briguglio, Antonino Piazza, Michele Felletti, Fabrizio PeerJ Evolutionary Studies Ichnofossils, the fossilized products of life-substrate interactions, are among the most abundant biosignatures on Earth and therefore they may provide scientific evidence of potential life that may have existed on Mars. Ichnofossils offer unique advantages in the search for extraterrestrial life, including the fact that they are resilient to processes that obliterate other evidence for past life, such as body fossils, as well as chemical and isotopic biosignatures. The goal of this paper is evaluating the suitability of the Mars 2020 Landing Site for ichnofossils. To this goal, we apply palaeontological predictive modelling, a technique used to forecast the location of fossil sites in uninvestigated areas on Earth. Accordingly, a geographic information system (GIS) of the landing site is developed. Each layer of the GIS maps the suitability for one or more ichnofossil types (bioturbation, bioerosion, biostratification structures) based on an assessment of a single attribute (suitability factor) of the Martian environment. Suitability criteria have been selected among the environmental attributes that control ichnofossil abundance and preservation in 18 reference sites on Earth. The goal of this research is delivered through three predictive maps showing which areas of the Mars 2020 Landing Site are more likely to preserve potential ichnofossils. On the basis of these maps, an ichnological strategy for the Perseverance rover is identified, indicating (1) 10 sites on Mars with high suitability for bioturbation, bioerosion and biostratification ichnofossils, (2) the ichnofossil types, if any, that are more likely to be present at each site, (3) the most efficient observation strategy for detecting eventual ichnofossils. The predictive maps and the ichnological strategy can be easily integrated in the existing plans for the exploration of the Jezero crater, realizing benefits in life-search efficiency and cost-reduction. PeerJ Inc. 2021-09-23 /pmc/articles/PMC8466086/ /pubmed/34631304 http://dx.doi.org/10.7717/peerj.11784 Text en ©2021 Baucon et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Evolutionary Studies Baucon, Andrea Neto de Carvalho, Carlos Briguglio, Antonino Piazza, Michele Felletti, Fabrizio A predictive model for the ichnological suitability of the Jezero crater, Mars: searching for fossilized traces of life-substrate interactions in the 2020 Rover Mission Landing Site |
title | A predictive model for the ichnological suitability of the Jezero crater, Mars: searching for fossilized traces of life-substrate interactions in the 2020 Rover Mission Landing Site |
title_full | A predictive model for the ichnological suitability of the Jezero crater, Mars: searching for fossilized traces of life-substrate interactions in the 2020 Rover Mission Landing Site |
title_fullStr | A predictive model for the ichnological suitability of the Jezero crater, Mars: searching for fossilized traces of life-substrate interactions in the 2020 Rover Mission Landing Site |
title_full_unstemmed | A predictive model for the ichnological suitability of the Jezero crater, Mars: searching for fossilized traces of life-substrate interactions in the 2020 Rover Mission Landing Site |
title_short | A predictive model for the ichnological suitability of the Jezero crater, Mars: searching for fossilized traces of life-substrate interactions in the 2020 Rover Mission Landing Site |
title_sort | predictive model for the ichnological suitability of the jezero crater, mars: searching for fossilized traces of life-substrate interactions in the 2020 rover mission landing site |
topic | Evolutionary Studies |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8466086/ https://www.ncbi.nlm.nih.gov/pubmed/34631304 http://dx.doi.org/10.7717/peerj.11784 |
work_keys_str_mv | AT bauconandrea apredictivemodelfortheichnologicalsuitabilityofthejezerocratermarssearchingforfossilizedtracesoflifesubstrateinteractionsinthe2020rovermissionlandingsite AT netodecarvalhocarlos apredictivemodelfortheichnologicalsuitabilityofthejezerocratermarssearchingforfossilizedtracesoflifesubstrateinteractionsinthe2020rovermissionlandingsite AT briguglioantonino apredictivemodelfortheichnologicalsuitabilityofthejezerocratermarssearchingforfossilizedtracesoflifesubstrateinteractionsinthe2020rovermissionlandingsite AT piazzamichele apredictivemodelfortheichnologicalsuitabilityofthejezerocratermarssearchingforfossilizedtracesoflifesubstrateinteractionsinthe2020rovermissionlandingsite AT fellettifabrizio apredictivemodelfortheichnologicalsuitabilityofthejezerocratermarssearchingforfossilizedtracesoflifesubstrateinteractionsinthe2020rovermissionlandingsite AT bauconandrea predictivemodelfortheichnologicalsuitabilityofthejezerocratermarssearchingforfossilizedtracesoflifesubstrateinteractionsinthe2020rovermissionlandingsite AT netodecarvalhocarlos predictivemodelfortheichnologicalsuitabilityofthejezerocratermarssearchingforfossilizedtracesoflifesubstrateinteractionsinthe2020rovermissionlandingsite AT briguglioantonino predictivemodelfortheichnologicalsuitabilityofthejezerocratermarssearchingforfossilizedtracesoflifesubstrateinteractionsinthe2020rovermissionlandingsite AT piazzamichele predictivemodelfortheichnologicalsuitabilityofthejezerocratermarssearchingforfossilizedtracesoflifesubstrateinteractionsinthe2020rovermissionlandingsite AT fellettifabrizio predictivemodelfortheichnologicalsuitabilityofthejezerocratermarssearchingforfossilizedtracesoflifesubstrateinteractionsinthe2020rovermissionlandingsite |