{"id":35901,"date":"2023-10-19T09:41:11","date_gmt":"2023-10-19T07:41:11","guid":{"rendered":"https:\/\/www.ig.cas.cz\/?p=35901"},"modified":"2023-10-24T09:30:08","modified_gmt":"2023-10-24T07:30:08","slug":"optimising-landscape-evolution-models-with-be","status":"publish","type":"post","link":"https:\/\/www.ig.cas.cz\/en\/optimising-landscape-evolution-models-with-be\/","title":{"rendered":"Optimising landscape evolution models with Be &#8211; new paper out"},"content":{"rendered":"<p>Landscape evolution models (LEMs) are widely used to calculate changes in Earth\u2019s topography due to erosion, but the model parameters are notoriously difficult to constrain.<br \/>\nIn order to gain a&nbsp;better understanding and find the best-fit parameters, Gregory Ruetenik and his collegues from Surface Processes and Palaeoclimate team compared modelled erosion rates against a&nbsp;global compilation of long-term erosion rate data derived from cosmogenic <sup>10<\/sup>Be.<\/p>\n<p>This novel method demonstrates that LEMs, used in tandem with data, can inform us about the behaviour of real landscapes. They looked at the global variability in parameters and found a&nbsp;correlation between precipitation and coefficients for optimized models, where areas with higher precipitation corresponded to a&nbsp;higher erodibility. However, despite this general positive relationship, they also found an anomalously high erodibility in semi-arid environments. Landscapes are most easily eroded at both extremes of precipitation (wet and dry).<\/p>\n<p>&#8220;We also saw unexpected correlations between rock-type and landscape erodibility, indicating that rock type alone cannot always be used to determine the erodibility of a&nbsp;landscape; other factors (such as the number of fractures in the rock) may be equally or more important than rock type,&#8221; adds G. Ruetenik.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-35903 aligncenter\" src=\"https:\/\/www.ig.cas.cz\/wp-content\/uploads\/2023\/10\/lem-model-1024x719.png\" alt=\"\" width=\"951\" height=\"668\" \/><\/p>\n<p style=\"text-align: center;\">Example of an artificial mountain range generated using a&nbsp;LEM<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Publication:<\/strong> G. A. Ruetenik, J. D. Jansen, P.&nbsp;Val, and L. Yl\u00e4-Mella, Optimising global landscape evolution models with <sup>10<\/sup>Be, <em>Earth Surf. Dynam.<\/em>, 11, 865\u2013880 (2023). DOI: https:\/\/doi.org\/10.5194\/esurf-11-865-2023<\/p>\n<p style=\"text-align: right;\"><a href=\"https:\/\/www.ig.cas.cz\/en\/contact\/staff\/gregory-ruetenik\/\">Gregory Ruetenik<\/a><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Landscape evolution models (LEMs) are widely used to calculate changes in Earth\u2019s topography due to erosion, but the model parameters are notoriously difficult to constrain. In order to gain a&nbsp;better understanding and find the best-fit parameters, Gregory Ruetenik and his collegues from Surface Processes and Palaeoclimate team compared modelled erosion rates against a&nbsp;global compilation of [&hellip;]<\/p>\n","protected":false},"author":28,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[109,125],"tags":[],"class_list":["post-35901","post","type-post","status-publish","format-standard","hentry","category-news-eng","category-research-eng"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.9 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Optimising landscape evolution models with Be - new paper out - Geofyzik\u00e1ln\u00ed \u00fastav Akademie v\u011bd \u010cR, v.v.i.<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.ig.cas.cz\/en\/optimising-landscape-evolution-models-with-be\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Optimising landscape evolution models with Be - new paper out - Geofyzik\u00e1ln\u00ed \u00fastav Akademie v\u011bd \u010cR, v.v.i.\" \/>\n<meta property=\"og:description\" content=\"Landscape evolution models (LEMs) are widely used to calculate changes in Earth\u2019s topography due to erosion, but the model parameters are notoriously difficult to constrain. In order to gain a&nbsp;better understanding and find the best-fit parameters, Gregory Ruetenik and his collegues from Surface Processes and Palaeoclimate team compared modelled erosion rates against a&nbsp;global compilation of [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.ig.cas.cz\/en\/optimising-landscape-evolution-models-with-be\/\" \/>\n<meta property=\"og:site_name\" content=\"Dom\u016f\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/GFUAVCR\/\" \/>\n<meta property=\"article:published_time\" content=\"2023-10-19T07:41:11+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2023-10-24T07:30:08+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.ig.cas.cz\/wp-content\/uploads\/2023\/10\/lem-model-1024x719.png\" \/>\n<meta name=\"author\" content=\"Katerina Voracova\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Katerina Voracova\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.ig.cas.cz\/en\/optimising-landscape-evolution-models-with-be\/\",\"url\":\"https:\/\/www.ig.cas.cz\/en\/optimising-landscape-evolution-models-with-be\/\",\"name\":\"Optimising landscape evolution models with Be - new paper out - Geofyzik\u00e1ln\u00ed \u00fastav Akademie v\u011bd \u010cR, v.v.i.\",\"isPartOf\":{\"@id\":\"https:\/\/www.ig.cas.cz\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/www.ig.cas.cz\/en\/optimising-landscape-evolution-models-with-be\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/www.ig.cas.cz\/en\/optimising-landscape-evolution-models-with-be\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.ig.cas.cz\/wp-content\/uploads\/2023\/10\/lem-model-1024x719.png\",\"datePublished\":\"2023-10-19T07:41:11+00:00\",\"dateModified\":\"2023-10-24T07:30:08+00:00\",\"author\":{\"@id\":\"https:\/\/www.ig.cas.cz\/#\/schema\/person\/35ac166fad12e1b9438323cf7d1403e5\"},\"breadcrumb\":{\"@id\":\"https:\/\/www.ig.cas.cz\/en\/optimising-landscape-evolution-models-with-be\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.ig.cas.cz\/en\/optimising-landscape-evolution-models-with-be\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.ig.cas.cz\/en\/optimising-landscape-evolution-models-with-be\/#primaryimage\",\"url\":\"https:\/\/www.ig.cas.cz\/wp-content\/uploads\/2023\/10\/lem-model-1024x719.png\",\"contentUrl\":\"https:\/\/www.ig.cas.cz\/wp-content\/uploads\/2023\/10\/lem-model-1024x719.png\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.ig.cas.cz\/en\/optimising-landscape-evolution-models-with-be\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Dom\u016f\",\"item\":\"https:\/\/www.ig.cas.cz\/en\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Optimising landscape evolution models with Be &#8211; new paper out\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.ig.cas.cz\/#website\",\"url\":\"https:\/\/www.ig.cas.cz\/\",\"name\":\"Dom\u016f\",\"description\":\"Geofyzik\u00e1ln\u00ed \u00fastav Akademie v\u011bd \u010cR, v.v.i.\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/www.ig.cas.cz\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/www.ig.cas.cz\/#\/schema\/person\/35ac166fad12e1b9438323cf7d1403e5\",\"name\":\"Katerina Voracova\",\"url\":\"https:\/\/www.ig.cas.cz\/en\/author\/voracova\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Optimising landscape evolution models with Be - new paper out - Geofyzik\u00e1ln\u00ed \u00fastav Akademie v\u011bd \u010cR, v.v.i.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.ig.cas.cz\/en\/optimising-landscape-evolution-models-with-be\/","og_locale":"en_US","og_type":"article","og_title":"Optimising landscape evolution models with Be - new paper out - Geofyzik\u00e1ln\u00ed \u00fastav Akademie v\u011bd \u010cR, v.v.i.","og_description":"Landscape evolution models (LEMs) are widely used to calculate changes in Earth\u2019s topography due to erosion, but the model parameters are notoriously difficult to constrain. 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