{"id":2811,"date":"2018-04-04T12:52:18","date_gmt":"2018-04-04T10:52:18","guid":{"rendered":"https:\/\/ist.blogs.inra.fr\/afs\/?p=2811"},"modified":"2018-06-22T11:20:42","modified_gmt":"2018-06-22T09:20:42","slug":"the-relative-importance-of-soil-properties-and-regional-climate-as-drivers-of-productivity-in-southern-patagonias-nothofagus-antarctica-forests","status":"publish","type":"post","link":"https:\/\/ist.blogs.inrae.fr\/afs\/2018\/04\/04\/the-relative-importance-of-soil-properties-and-regional-climate-as-drivers-of-productivity-in-southern-patagonias-nothofagus-antarctica-forests\/","title":{"rendered":"The relative importance of soil properties and regional climate as drivers of productivity in southern Patagonia\u2019s Nothofagus antarctica forests"},"content":{"rendered":"<script type='text\/javascript' src='https:\/\/d1bxh8uas1mnw7.cloudfront.net\/assets\/embed.js'><\/script><p>Soil texture and temperature-related variables were the variables that most contributed to <em>Nothofagus antarctica<\/em> forest height in southern Patagonia. This information may be useful for improving forest management, for instance related to the establishment of silvopastoral systems or selection of suitable sites for forest reforestation in southern Patagonia.<\/p>\n<p><strong>Context<\/strong> Changes in forest productivity result from a combination of climate, topography, and soil properties.<br \/>\n<strong>Aims<\/strong> The relative importance of edaphic and climatic variables as drivers of productivity in <em>Nothofagus antarctica<\/em> forests of southern Patagonia, Argentina, was evaluated.<br \/>\n<strong>Methods<\/strong> A total of 48 mature stands of <em>N. antarctica<\/em> were selected. For each study site, we measured the height of three mature dominant trees, as an indicator of productivity. Seven soil, five spatial, and 19 climatic features were determined and related to forest productivity. Through partial least squares regression analyses, we obtained a model that was an effective predictor of height of mature dominant trees in the regional data set presented here.<br \/>\n<strong>Results<\/strong> The four variables that most contributed to the predictive power of the model were altitude, temperature annual range, soil texture, and temperature seasonality.<br \/>\n<strong>Conclusion<\/strong> The information gathered in this study suggested that the incidence of the soil and temperature-related variables on the height of dominant trees, at the regionally evaluated scale, was higher than the effect of water-related variables.<\/p>\n<p>Keywords<br \/>\nCarbon sequestration, Native forest, <em>Nothofagus antarctica<\/em>, \u00f1ire, South America, Trees<\/p>\n<div class='altmetric-embed' data-badge-type='donut' data-doi='10.1007\/s13595-018-0725-7'  style='float: right; ' ><\/div>\n<p>Publication<br \/>\nBahamonde, H.A., Pastur, G.M., Lencinas, M.V. et al. Annals of Forest Science (2018) 75: 45. <a href=\"https:\/\/doi.org\/10.1007\/s13595-018-0725-7\">https:\/\/doi.org\/10.1007\/s13595-018-0725-7<\/a><\/p>\n<p>For the read-only version of the full text: <a href=\"https:\/\/rdcu.be\/KBj7\">https:\/\/rdcu.be\/KBj7<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Soil texture and temperature-related variables were the variables that most contributed to Nothofagus antarctica forest height in southern Patagonia. This information may be useful for improving forest management, for instance related to the establishment of silvopastoral systems or selection of suitable sites for forest reforestation in southern Patagonia. Context Changes in forest productivity result from [&hellip;]<\/p>\n","protected":false},"author":94,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[14,15],"tags":[],"class_list":["post-2811","post","type-post","status-publish","format-standard","hentry","category-article-type","category-research-paper","cat-14-id","cat-15-id"],"_links":{"self":[{"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/posts\/2811","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/users\/94"}],"replies":[{"embeddable":true,"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/comments?post=2811"}],"version-history":[{"count":0,"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/posts\/2811\/revisions"}],"wp:attachment":[{"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/media?parent=2811"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/categories?post=2811"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/tags?post=2811"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}