{"id":11945,"date":"2023-03-09T08:10:29","date_gmt":"2023-03-09T11:10:29","guid":{"rendered":"https:\/\/www.fie.undef.edu.ar\/ceptm\/?p=11945"},"modified":"2023-03-09T08:10:29","modified_gmt":"2023-03-09T11:10:29","slug":"balance-de-las-emisiones-de-dioxido-de-carbono","status":"publish","type":"post","link":"https:\/\/www.fie.undef.edu.ar\/ceptm\/?p=11945","title":{"rendered":"Balance de las emisiones de di\u00f3xido de carbono"},"content":{"rendered":"<p>Un sat\u00e9lite de observaci\u00f3n de la Tierra de la NASA ha ayudado a los investigadores a rastrear las emisiones de di\u00f3xido de carbono de m\u00e1s de 100 pa\u00edses de todo el mundo. El proyecto piloto ofrece una nueva y poderosa mirada al di\u00f3xido de carbono que se emite en estos pa\u00edses y cu\u00e1nto de \u00e9l es eliminado de la atm\u00f3sfera por los bosques y otros &#8220;sumideros&#8221; que absorben carbono dentro de sus fronteras. Los hallazgos demuestran c\u00f3mo las herramientas basadas en el espacio pueden respaldar los conocimientos sobre la Tierra a medida que las naciones trabajan para lograr los objetivos clim\u00e1ticos. Los cambios en las reservas de carbono de los ecosistemas terrestres dan como resultado emisiones y absorciones de CO2. Estos pueden ser impulsados por actividades antropog\u00e9nicas (p. ej., deforestaci\u00f3n), procesos naturales (p. ej., incendios) o en respuesta al aumento de CO2 (p. ej., fertilizaci\u00f3n con CO2). El documento de la referencia describe un conjunto de datos de emisiones y absorciones de CO2 derivadas de las observaciones atmosf\u00e9ricas de CO2. Este conjunto de datos piloto informa las capacidades actuales y los desarrollos futuros hacia los sistemas de verificaci\u00f3n y monitoreo de arriba hacia abajo. Es interesante notar la escasa contribuci\u00f3n de nuestro pa\u00eds al stock global de CO2.<\/p>\n<hr \/>\n<p id=\"d1e11261\">We demonstrate how the dataset presented here can be compared with NGHGIs reported under the UNFCCC, which were downloaded from <span class=\"uri\"><a href=\"https:\/\/di.unfccc.int\/flex_annex1\" target=\"_blank\" rel=\"noopener\">https:\/\/di.unfccc.int\/flex_annex1<\/a><\/span> (last access: 6\u00a0February\u00a02023). We also refer the reader to Chap.\u00a06.10.2 in vol.\u00a01 of <span id=\"xref_text.126\" class=\"cit\"><a class=\"scrollto\" href=\"https:\/\/essd.copernicus.org\/articles\/15\/963\/2023\/#bib1.bibx87\" target=\"_blank\" rel=\"noopener\" data-fixed-element=\".auto-fixed-top-forced.article-title\">IPCC<\/a> (<a class=\"scrollto\" href=\"https:\/\/essd.copernicus.org\/articles\/15\/963\/2023\/#bib1.bibx87\" target=\"_blank\" rel=\"noopener\" data-fixed-element=\".auto-fixed-top-forced.article-title\">2019<\/a>)<\/span> for additional discussion of comparing top-down estimates with NGHGIs. The fossil fuel emissions in <span id=\"xref_text.127\" class=\"cit\"><a class=\"scrollto\" href=\"https:\/\/essd.copernicus.org\/articles\/15\/963\/2023\/#bib1.bibx24\" target=\"_blank\" rel=\"noopener\" data-fixed-element=\".auto-fixed-top-forced.article-title\">Byrne et\u00a0al.<\/a> (<a class=\"scrollto\" href=\"https:\/\/essd.copernicus.org\/articles\/15\/963\/2023\/#bib1.bibx24\" target=\"_blank\" rel=\"noopener\" data-fixed-element=\".auto-fixed-top-forced.article-title\">2022<\/a>)<\/span> can be compared with the combined emissions from the energy and IPPU (Energy+IPPU) categories. In both cases, these estimates account for anthropogenic CO<span class=\"inline-formula\"><sub>2<\/sub><\/span> emissions from the burning of fossil fuels and production of cement and other materials. We expect these estimates to generally be in good agreement, as they are similarly based on bottom-up accounting for national totals. However, the estimates may diverge when there are missing activity data, particularly in non-Annex\u00a01 countries and more recent years <span id=\"xref_paren.128\" class=\"cit\">(<a class=\"scrollto\" href=\"https:\/\/essd.copernicus.org\/articles\/15\/963\/2023\/#bib1.bibx5\" target=\"_blank\" rel=\"noopener\" data-fixed-element=\".auto-fixed-top-forced.article-title\">Andrew<\/a>,\u00a0<a class=\"scrollto\" href=\"https:\/\/essd.copernicus.org\/articles\/15\/963\/2023\/#bib1.bibx5\" target=\"_blank\" rel=\"noopener\" data-fixed-element=\".auto-fixed-top-forced.article-title\">2020<\/a>)<\/span>.<\/p>\n<p id=\"d1e11285\"><span class=\"inline-formula\">\u0394<i>C<\/i><sub>loss<\/sub><\/span> can be compared to the combined emissions and removals from the agriculture, LULUCF and waste (Agr+LULUCF+Waste) categories. These quantities are not identical, with the most important difference being that NGHGIs are only for managed land, while <span class=\"inline-formula\">\u0394<i>C<\/i><sub>loss<\/sub><\/span> includes both managed and unmanaged lands. Therefore, caution is needed for parties with large unmanaged land areas (e.g., Canada or the Russian Federation). Another difference from NGHGIs is that <span class=\"inline-formula\">\u0394<i>C<\/i><sub>loss<\/sub><\/span> implicitly includes deposition of<span id=\"page985\"><\/span> carbon in water body sediments within a country (such as lakes). However, this is expected to be a small contribution. Similarly, volcanic CO<span class=\"inline-formula\"><sub>2<\/sub><\/span> emissions are implicitly included in <span class=\"inline-formula\">\u0394<i>C<\/i><sub>loss<\/sub><\/span> but are also believed to be small contributions <span id=\"xref_paren.129\" class=\"cit\">(global subaerial volcanic CO<span class=\"inline-formula\"><sub>2<\/sub><\/span> emissions are <span class=\"inline-formula\">\u223c0.05<\/span>\u2009<span class=\"inline-formula\">Pg\u2009CO<sub>2<\/sub>\u2009yr<sup>\u22121<\/sup><\/span>,\u00a0<a class=\"scrollto\" href=\"https:\/\/essd.copernicus.org\/articles\/15\/963\/2023\/#bib1.bibx61\" target=\"_blank\" rel=\"noopener\" data-fixed-element=\".auto-fixed-top-forced.article-title\">Fischer et\u00a0al.<\/a>,\u00a0<a class=\"scrollto\" href=\"https:\/\/essd.copernicus.org\/articles\/15\/963\/2023\/#bib1.bibx61\" target=\"_blank\" rel=\"noopener\" data-fixed-element=\".auto-fixed-top-forced.article-title\">2019<\/a>)<\/span>. It is worth noting that NGHGIs require estimates of turnover times for wood products in producing countries, as these can have lifetimes of decades to centuries <span id=\"xref_paren.130\" class=\"cit\">(see Appendix\u00a03a.1 of\u00a0<a class=\"scrollto\" href=\"https:\/\/essd.copernicus.org\/articles\/15\/963\/2023\/#bib1.bibx147\" target=\"_blank\" rel=\"noopener\" data-fixed-element=\".auto-fixed-top-forced.article-title\">Penman et\u00a0al.<\/a>,\u00a0<a class=\"scrollto\" href=\"https:\/\/essd.copernicus.org\/articles\/15\/963\/2023\/#bib1.bibx147\" target=\"_blank\" rel=\"noopener\" data-fixed-element=\".auto-fixed-top-forced.article-title\">2003<\/a>)<\/span>. No such estimate is needed for the top-down methods, as emissions from decaying wood products will be implicitly incorporated in NCE. Therefore, top-down methods only need to account for the lateral movement of wood products from the region where the carbon is sequestered to the region where the wood products are used and decompose.<\/p>\n<p id=\"d1e11401\">For this analysis, we compare NGHGIs and our dataset for three entities: the USA, European Union plus the United Kingdom (EU27+UK) and Australia. These were chosen for two reasons. First, NCE is better constrained by atmospheric CO<span class=\"inline-formula\"><sub>2<\/sub><\/span> data over these relatively large regions. This is reflected in the FUR metric, which gives values of 0.76\u20130.91 for the USA (meaning a 76\u2009%\u201391\u2009% uncertainty reduction), 0.38\u20130.51 for EU27 and 0.45\u20130.78 for Australia. Second, each of these entities has small unmanaged land areas, making this more of an apples-to-apples comparison. An area of 95\u2009% of the USA is managed, with most unmanaged land being in the state of Alaska <span id=\"xref_paren.131\" class=\"cit\">(<a class=\"scrollto\" href=\"https:\/\/essd.copernicus.org\/articles\/15\/963\/2023\/#bib1.bibx144\" target=\"_blank\" rel=\"noopener\" data-fixed-element=\".auto-fixed-top-forced.article-title\">Ogle et\u00a0al.<\/a>,\u00a0<a class=\"scrollto\" href=\"https:\/\/essd.copernicus.org\/articles\/15\/963\/2023\/#bib1.bibx144\" target=\"_blank\" rel=\"noopener\" data-fixed-element=\".auto-fixed-top-forced.article-title\">2018<\/a>)<\/span>. Similarly, all land in the EU27+UK is considered managed except for 5\u2009% of France&#8217;s territory <span id=\"xref_paren.132\" class=\"cit\">(<a class=\"scrollto\" href=\"https:\/\/essd.copernicus.org\/articles\/15\/963\/2023\/#bib1.bibx149\" target=\"_blank\" rel=\"noopener\" data-fixed-element=\".auto-fixed-top-forced.article-title\">Petrescu et\u00a0al.<\/a>,\u00a0<a class=\"scrollto\" href=\"https:\/\/essd.copernicus.org\/articles\/15\/963\/2023\/#bib1.bibx149\" target=\"_blank\" rel=\"noopener\" data-fixed-element=\".auto-fixed-top-forced.article-title\">2021<\/a>)<\/span>.<\/p>\n<p id=\"d1e11419\">Figure\u00a0<a class=\"scrollto\" href=\"https:\/\/essd.copernicus.org\/articles\/15\/963\/2023\/#Ch1.F15\" data-fixed-element=\".auto-fixed-top-forced.article-title\">15<\/a> shows time series of emissions and removals from NGHGIs and <span id=\"xref_text.133\" class=\"cit\"><a class=\"scrollto\" href=\"https:\/\/essd.copernicus.org\/articles\/15\/963\/2023\/#bib1.bibx24\" target=\"_blank\" rel=\"noopener\" data-fixed-element=\".auto-fixed-top-forced.article-title\">Byrne et\u00a0al.<\/a> (<a class=\"scrollto\" href=\"https:\/\/essd.copernicus.org\/articles\/15\/963\/2023\/#bib1.bibx24\" target=\"_blank\" rel=\"noopener\" data-fixed-element=\".auto-fixed-top-forced.article-title\">2022<\/a>)<\/span> over 2015\u20132020. We focus our analysis on the 2015\u20132020 mean estimates, as top-down methods are expected to be more sensitive to IAV in the carbon cycle than NGHGI methods for individual years. Strong agreement is found between the NGHGI Energy+IPPU emissions and the fossil fuel emissions in <span id=\"xref_text.134\" class=\"cit\"><a class=\"scrollto\" href=\"https:\/\/essd.copernicus.org\/articles\/15\/963\/2023\/#bib1.bibx24\" target=\"_blank\" rel=\"noopener\" data-fixed-element=\".auto-fixed-top-forced.article-title\">Byrne et\u00a0al.<\/a> (<a class=\"scrollto\" href=\"https:\/\/essd.copernicus.org\/articles\/15\/963\/2023\/#bib1.bibx24\" target=\"_blank\" rel=\"noopener\" data-fixed-element=\".auto-fixed-top-forced.article-title\">2022<\/a>)<\/span>, while larger differences are found between Agr+LULUCF+Waste and <span class=\"inline-formula\">\u0394<i>C<\/i><sub>loss<\/sub><\/span>. Averaged over the 2015\u20132020 period, we obtain statistically significant differences between Agr+LULUCF+Waste and <span class=\"inline-formula\">\u0394<i>C<\/i><sub>loss<\/sub><\/span> for the USA and EU27+UK for each experiment (based on Student&#8217;s <i>t<\/i>\u00a0test at 0.05 significance level). In each case the top-down estimates suggest greater carbon sequestration by land, with mean differences of 0.59\u20130.91\u2009<span class=\"inline-formula\">Pg\u2009CO<sub>2<\/sub>\u2009yr<sup>\u22121<\/sup><\/span> for the USA and 0.99\u20131.79\u2009<span class=\"inline-formula\">Pg\u2009CO<sub>2<\/sub>\u2009yr<sup>\u22121<\/sup><\/span> for the EU27+UK. The reasons for these differences are unclear but are not expected to be explained by removals in unmanaged lands. It is possible that NGHGI methods miss or underestimate sink processes and\/or that there are biases affecting the top-down estimates (see Sect.\u00a0<a class=\"scrollto\" href=\"https:\/\/essd.copernicus.org\/articles\/15\/963\/2023\/#Ch1.S9\" data-fixed-element=\".auto-fixed-top-forced.article-title\">9<\/a> for remaining challenges in top-down estimates). We encourage further research and comparison between the NGHGI and top-down research communities to better understand the sources of these differences.<\/p>\n<figure id=\"attachment_11947\" aria-describedby=\"caption-attachment-11947\" style=\"width: 2067px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" class=\"size-full wp-image-11947\" src=\"https:\/\/www.fie.undef.edu.ar\/ceptm\/wp-content\/uploads\/2023\/03\/essd-15-963-2023-f15.png\" alt=\"\" width=\"2067\" height=\"1224\" srcset=\"https:\/\/www.fie.undef.edu.ar\/ceptm\/wp-content\/uploads\/2023\/03\/essd-15-963-2023-f15.png 2067w, https:\/\/www.fie.undef.edu.ar\/ceptm\/wp-content\/uploads\/2023\/03\/essd-15-963-2023-f15-300x178.png 300w, https:\/\/www.fie.undef.edu.ar\/ceptm\/wp-content\/uploads\/2023\/03\/essd-15-963-2023-f15-1024x606.png 1024w, https:\/\/www.fie.undef.edu.ar\/ceptm\/wp-content\/uploads\/2023\/03\/essd-15-963-2023-f15-768x455.png 768w, https:\/\/www.fie.undef.edu.ar\/ceptm\/wp-content\/uploads\/2023\/03\/essd-15-963-2023-f15-1536x910.png 1536w, https:\/\/www.fie.undef.edu.ar\/ceptm\/wp-content\/uploads\/2023\/03\/essd-15-963-2023-f15-2048x1213.png 2048w\" sizes=\"(max-width: 2067px) 100vw, 2067px\" \/><figcaption id=\"caption-attachment-11947\" class=\"wp-caption-text\">Emissions and removals of CO2 from the (a\u2013c) energy and IPPU categories and (d\u2013f) agriculture, LULUCF and waste categories reported in NGHGIs and \u0394Closs for four OCO-2 MIP experiments (IS, LNLG, LNLGIS, LNLGOGIS). Values are provided for individual years and the 2015\u20132020 mean.<\/figcaption><\/figure>\n<p><strong>Fuente:<\/strong> <a href=\"https:\/\/essd.copernicus.org\/articles\/15\/963\/2023\/#section8\" target=\"_blank\" rel=\"noopener\"><em>https:\/\/essd.copernicus.org<\/em><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Un sat\u00e9lite de observaci\u00f3n de la Tierra de la NASA ha ayudado a los investigadores a rastrear las emisiones de di\u00f3xido de carbono de m\u00e1s&hellip; <\/p>\n","protected":false},"author":1,"featured_media":11946,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[35,24],"tags":[],"_links":{"self":[{"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=\/wp\/v2\/posts\/11945"}],"collection":[{"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=11945"}],"version-history":[{"count":1,"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=\/wp\/v2\/posts\/11945\/revisions"}],"predecessor-version":[{"id":11948,"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=\/wp\/v2\/posts\/11945\/revisions\/11948"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=\/wp\/v2\/media\/11946"}],"wp:attachment":[{"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=11945"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=11945"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=11945"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}