{"id":214,"date":"2020-10-12T10:09:01","date_gmt":"2020-10-12T10:09:01","guid":{"rendered":"https:\/\/ines-solutions.eu\/?page_id=214"},"modified":"2024-06-28T10:14:23","modified_gmt":"2024-06-28T10:14:23","slug":"homepage","status":"publish","type":"page","link":"https:\/\/ines-solutions.eu\/de\/","title":{"rendered":"Home"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"214\" class=\"elementor elementor-214\" data-elementor-post-type=\"page\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-d741dfd elementor-section-full_width elementor-section-height-min-height elementor-section-items-bottom elementor-section-stretched elementor-reverse-mobile elementor-section-height-default\" data-id=\"d741dfd\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;stretch_section&quot;:&quot;section-stretched&quot;,&quot;background_background&quot;:&quot;slideshow&quot;,&quot;background_slideshow_gallery&quot;:[{&quot;id&quot;:2315,&quot;url&quot;:&quot;https:\\\/\\\/ines-solutions.eu\\\/wp-content\\\/uploads\\\/2020\\\/12\\\/R2126_02284_BGR_V2.jpg&quot;},{&quot;id&quot;:1635,&quot;url&quot;:&quot;https:\\\/\\\/ines-solutions.eu\\\/wp-content\\\/uploads\\\/2020\\\/11\\\/DSC01228KOPIE.jpg&quot;}],&quot;background_slideshow_loop&quot;:&quot;yes&quot;,&quot;background_slideshow_slide_duration&quot;:5000,&quot;background_slideshow_slide_transition&quot;:&quot;fade&quot;,&quot;background_slideshow_transition_duration&quot;:500}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-7054256\" data-id=\"7054256\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-6420589 elementor-section-full_width elementor-section-height-default elementor-section-height-default\" data-id=\"6420589\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-4cbbf00\" data-id=\"4cbbf00\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-983f285 elementor-widget elementor-widget-heading\" data-id=\"983f285\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Integrating environmental approaches to facilitate science and marine management<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-75db50a elementor-section-full_width elementor-section-height-default elementor-section-height-default\" data-id=\"75db50a\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;slideshow&quot;,&quot;background_slideshow_gallery&quot;:[],&quot;background_slideshow_loop&quot;:&quot;yes&quot;,&quot;background_slideshow_slide_duration&quot;:5000,&quot;background_slideshow_slide_transition&quot;:&quot;fade&quot;,&quot;background_slideshow_transition_duration&quot;:500}\">\n\t\t\t\t\t\t\t<div class=\"elementor-background-overlay\"><\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-wide\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-4d43a78\" data-id=\"4d43a78\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-4d71a15c elementor-widget elementor-widget-text-editor\" data-id=\"4d71a15c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-style: inherit; font-weight: inherit;\">INES is an indenpendent Research Institute capable of planning and conducting scientific Expeditions and studies, founded 2019 in Wilhelmshaven. We use our expertise in national and international Cooperations to support Research Institutions and facilitate scientific studies in the field of biodiversity and ecology of marine ecosystems. At INES our technique is TGS, an interdisciplinary approach where we combine taxonomy, molecular methods and statistical learning to analyze and monitor community structures, identify key species and perform population connectivity studies.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-66 elementor-top-column elementor-element elementor-element-8afd9bb\" data-id=\"8afd9bb\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-6213c4f elementor-arrows-position-inside elementor-pagination-position-outside elementor-widget elementor-widget-image-carousel\" data-id=\"6213c4f\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;slides_to_show&quot;:&quot;1&quot;,&quot;navigation&quot;:&quot;both&quot;,&quot;autoplay&quot;:&quot;yes&quot;,&quot;pause_on_hover&quot;:&quot;yes&quot;,&quot;pause_on_interaction&quot;:&quot;yes&quot;,&quot;autoplay_speed&quot;:5000,&quot;infinite&quot;:&quot;yes&quot;,&quot;effect&quot;:&quot;slide&quot;,&quot;speed&quot;:500}\" data-widget_type=\"image-carousel.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-image-carousel-wrapper swiper\" role=\"region\" aria-roledescription=\"carousel\" aria-label=\"Image Carousel\" dir=\"ltr\">\n\t\t\t<div class=\"elementor-image-carousel swiper-wrapper\" aria-live=\"off\">\n\t\t\t\t\t\t\t\t<div class=\"swiper-slide\" role=\"group\" aria-roledescription=\"slide\" aria-label=\"1 of 3\"><figure class=\"swiper-slide-inner\"><img decoding=\"async\" class=\"swiper-slide-image\" src=\"https:\/\/ines-solutions.eu\/wp-content\/uploads\/2020\/10\/Startseite_03_scaled.jpeg\" alt=\"Research Vessel Pelagia in the Indian Ocean on station\" \/><figcaption class=\"elementor-image-carousel-caption\">Research Vessel Pelagia in the Indian Ocean on station<\/figcaption><\/figure><\/div><div class=\"swiper-slide\" role=\"group\" aria-roledescription=\"slide\" aria-label=\"2 of 3\"><figure class=\"swiper-slide-inner\"><img decoding=\"async\" class=\"swiper-slide-image\" src=\"https:\/\/ines-solutions.eu\/wp-content\/uploads\/2020\/10\/Sample-Processing_Bettina_Muc_Probennahme_14.jpeg\" alt=\"INES Team processes sediment cores taken with the Multicorer Tool from the seafloor\" \/><figcaption class=\"elementor-image-carousel-caption\">INES Team processes sediment cores taken with the Multicorer Tool from the seafloor<\/figcaption><\/figure><\/div><div class=\"swiper-slide\" role=\"group\" aria-roledescription=\"slide\" aria-label=\"3 of 3\"><figure class=\"swiper-slide-inner\"><img decoding=\"async\" class=\"swiper-slide-image\" src=\"https:\/\/ines-solutions.eu\/wp-content\/uploads\/2020\/10\/Minimal-Invasiv_ROV_Victor.jpeg\" alt=\"Deployment of the Remotely Operated Vehicle &quot;Victor 6000&quot; from IFREMER\" \/><figcaption class=\"elementor-image-carousel-caption\">Deployment of the Remotely Operated Vehicle \"Victor 6000\" from IFREMER<\/figcaption><\/figure><\/div>\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"elementor-swiper-button elementor-swiper-button-prev\" role=\"button\" tabindex=\"0\">\n\t\t\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-eicon-chevron-left\" viewBox=\"0 0 1000 1000\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M646 125C629 125 613 133 604 142L308 442C296 454 292 471 292 487 292 504 296 521 308 533L604 854C617 867 629 875 646 875 663 875 679 871 692 858 704 846 713 829 713 812 713 796 708 779 692 767L438 487 692 225C700 217 708 204 708 187 708 171 704 154 692 142 675 129 663 125 646 125Z\"><\/path><\/svg>\t\t\t\t\t<\/div>\n\t\t\t\t\t<div class=\"elementor-swiper-button elementor-swiper-button-next\" role=\"button\" tabindex=\"0\">\n\t\t\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-eicon-chevron-right\" viewBox=\"0 0 1000 1000\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M696 533C708 521 713 504 713 487 713 471 708 454 696 446L400 146C388 133 375 125 354 125 338 125 325 129 313 142 300 154 292 171 292 187 292 204 296 221 308 233L563 492 304 771C292 783 288 800 288 817 288 833 296 850 308 863 321 871 338 875 354 875 371 875 388 867 400 854L696 533Z\"><\/path><\/svg>\t\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<div class=\"swiper-pagination\"><\/div>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<article class=\"elementor-section elementor-top-section elementor-element elementor-element-370090de elementor-section-content-middle elementor-section-full_width elementor-section-stretched elementor-section-height-default elementor-section-height-default\" data-id=\"370090de\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;stretch_section&quot;:&quot;section-stretched&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-63d66dd0\" data-id=\"63d66dd0\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-4efdb53 elementor-widget elementor-widget-text-editor\" data-id=\"4efdb53\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-style: inherit;\">We use traditional techniques, such as taxonomy and morphology in combination with molecular methods, habitat modelling as well as developing minimal invasive monitoring methods. In this way we contribute to the estimation of the extraordinary biodiversity and find spatial distribution patterns to contribute to a sustainable use of the world\u2019s oceans.<\/span><\/p><p><span style=\"font-style: inherit;\">Our team is specialized in planning and implementing scientific expeditions, assist biological sampling with specific tools and analyze and publish our results in scientific journals. To achieve our goals, we work in close cooperation with the German center for biodiversity research (DZMB) at the locations Wilhelmshaven and Hamburg.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d2ecbeb elementor-align-left elementor-widget elementor-widget-button\" data-id=\"d2ecbeb\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-xl\" href=\"https:\/\/ines-solutions.eu\/about-us\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-icon\">\n\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-far-arrow-alt-circle-right\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M504 256C504 119 393 8 256 8S8 119 8 256s111 248 248 248 248-111 248-248zm-448 0c0-110.5 89.5-200 200-200s200 89.5 200 200-89.5 200-200 200S56 366.5 56 256zm72 20v-40c0-6.6 5.4-12 12-12h116v-67c0-10.7 12.9-16 20.5-8.5l99 99c4.7 4.7 4.7 12.3 0 17l-99 99c-7.6 7.6-20.5 2.2-20.5-8.5v-67H140c-6.6 0-12-5.4-12-12z\"><\/path><\/svg>\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Our Team<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/article>\n\t\t\t\t<article class=\"elementor-section elementor-top-section elementor-element elementor-element-1e9e4a0 elementor-section-full_width elementor-section-stretched elementor-section-height-min-height elementor-section-height-default elementor-section-items-middle\" data-id=\"1e9e4a0\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;stretch_section&quot;:&quot;section-stretched&quot;,&quot;motion_fx_motion_fx_scrolling&quot;:&quot;yes&quot;,&quot;motion_fx_devices&quot;:[&quot;desktop&quot;,&quot;tablet&quot;,&quot;mobile&quot;]}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-8946bbc\" data-id=\"8946bbc\" data-element_type=\"column\" data-e-type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-7910e58 elementor-widget elementor-widget-heading\" data-id=\"7910e58\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;_animation&quot;:&quot;none&quot;,&quot;motion_fx_motion_fx_scrolling&quot;:&quot;yes&quot;,&quot;motion_fx_devices&quot;:[&quot;desktop&quot;,&quot;tablet&quot;,&quot;mobile&quot;]}\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\"><span data-elementor-setting-key=\"title\" data-pen-placeholder=\"Eingabe hier...\" style=\"font-size: 6.4rem;font-style: normal\">TGS<\/span><br>our approach and mission<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0b1b34b elementor-widget elementor-widget-text-editor\" data-id=\"0b1b34b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div><p><span lang=\"EN-US\">TGS is the abbreviation of <b>T<\/b>axonomy, <b>G<\/b>enetic analysis and <b>S<\/b>tatistical learning, which we use to study the ecology of deep-sea ecosystems in order to write reports to give recommendations for necessary guidelines for the protection of the marine environment. This interdisciplinary approach combines traditional taxonomical methods for biodiversity assessments with molecular analyses and uses this data for statistical predictions of the distribution of communities and habitat mapping.<\/span><\/p><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/article>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-ba0eaca elementor-section-full_width elementor-section-height-default elementor-section-height-default\" data-id=\"ba0eaca\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-20 elementor-top-column elementor-element elementor-element-66650f5\" data-id=\"66650f5\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-96ec3ce elementor-view-default elementor-position-block-start elementor-mobile-position-block-start elementor-widget elementor-widget-icon-box\" data-id=\"96ec3ce\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;_animation&quot;:&quot;none&quot;}\" data-widget_type=\"icon-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-box-wrapper\">\n\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span  class=\"elementor-icon elementor-animation-grow\">\n\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-fish\" viewBox=\"0 0 576 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M327.1 96c-89.97 0-168.54 54.77-212.27 101.63L27.5 131.58c-12.13-9.18-30.24.6-27.14 14.66L24.54 256 .35 365.77c-3.1 14.06 15.01 23.83 27.14 14.66l87.33-66.05C158.55 361.23 237.13 416 327.1 416 464.56 416 576 288 576 256S464.56 96 327.1 96zm87.43 184c-13.25 0-24-10.75-24-24 0-13.26 10.75-24 24-24 13.26 0 24 10.74 24 24 0 13.25-10.75 24-24 24z\"><\/path><\/svg>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\n\t\t\t\t\t\t\t\t\t<h3 class=\"elementor-icon-box-title\">\n\t\t\t\t\t\t<span  >\n\t\t\t\t\t\t\tTAXONOMY\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<p class=\"elementor-icon-box-description\">\n\t\t\t\t\t\tIdentifying organisms based on morphological characters in the deep-sea\nis a fundamental step to understand the diversity and crucial for all ecological analyes.\nWe have taxonomic expertise and work in close collaboration with various taxonomic experts\nto identify and describe deep-sea organisms.\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-20 elementor-top-column elementor-element elementor-element-f3c29b9\" data-id=\"f3c29b9\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-3804e6b elementor-view-default elementor-widget elementor-widget-icon\" data-id=\"3804e6b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-wrapper\">\n\t\t\t<div class=\"elementor-icon\">\n\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-far-arrow-alt-circle-right\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M504 256C504 119 393 8 256 8S8 119 8 256s111 248 248 248 248-111 248-248zm-448 0c0-110.5 89.5-200 200-200s200 89.5 200 200-89.5 200-200 200S56 366.5 56 256zm72 20v-40c0-6.6 5.4-12 12-12h116v-67c0-10.7 12.9-16 20.5-8.5l99 99c4.7 4.7 4.7 12.3 0 17l-99 99c-7.6 7.6-20.5 2.2-20.5-8.5v-67H140c-6.6 0-12-5.4-12-12z\"><\/path><\/svg>\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-20 elementor-top-column elementor-element elementor-element-aa9554e\" data-id=\"aa9554e\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-8295f47 elementor-view-default elementor-position-block-start elementor-mobile-position-block-start elementor-widget elementor-widget-icon-box\" data-id=\"8295f47\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-box-wrapper\">\n\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span  class=\"elementor-icon elementor-animation-grow\">\n\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-dna\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M.1 494.1c-1.1 9.5 6.3 17.8 15.9 17.8l32.3.1c8.1 0 14.9-5.9 16-13.9.7-4.9 1.8-11.1 3.4-18.1H380c1.6 6.9 2.9 13.2 3.5 18.1 1.1 8 7.9 14 16 13.9l32.3-.1c9.6 0 17.1-8.3 15.9-17.8-4.6-37.9-25.6-129-118.9-207.7-17.6 12.4-37.1 24.2-58.5 35.4 6.2 4.6 11.4 9.4 17 14.2H159.7c21.3-18.1 47-35.6 78.7-51.4C410.5 199.1 442.1 65.8 447.9 17.9 449 8.4 441.6.1 432 .1L399.6 0c-8.1 0-14.9 5.9-16 13.9-.7 4.9-1.8 11.1-3.4 18.1H67.8c-1.6-7-2.7-13.1-3.4-18.1-1.1-8-7.9-14-16-13.9L16.1.1C6.5.1-1 8.4.1 17.9 5.3 60.8 31.4 171.8 160 256 31.5 340.2 5.3 451.2.1 494.1zM224 219.6c-25.1-13.7-46.4-28.4-64.3-43.6h128.5c-17.8 15.2-39.1 30-64.2 43.6zM355.1 96c-5.8 10.4-12.8 21.1-21 32H114c-8.3-10.9-15.3-21.6-21-32h262.1zM92.9 416c5.8-10.4 12.8-21.1 21-32h219.4c8.3 10.9 15.4 21.6 21.2 32H92.9z\"><\/path><\/svg>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\n\t\t\t\t\t\t\t\t\t<h3 class=\"elementor-icon-box-title\">\n\t\t\t\t\t\t<span  >\n\t\t\t\t\t\t\tGENETIC ANALYSIS\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<p class=\"elementor-icon-box-description\">\n\t\t\t\t\t\tMolecular methods are used for DNA-barcoding for species identification but also for connectivity studies to address the dispersion capabilities and exchange between different populations of species.\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-20 elementor-top-column elementor-element elementor-element-06f113e\" data-id=\"06f113e\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-08a3456 elementor-view-default elementor-widget elementor-widget-icon\" data-id=\"08a3456\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-wrapper\">\n\t\t\t<div class=\"elementor-icon\">\n\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-far-arrow-alt-circle-right\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M504 256C504 119 393 8 256 8S8 119 8 256s111 248 248 248 248-111 248-248zm-448 0c0-110.5 89.5-200 200-200s200 89.5 200 200-89.5 200-200 200S56 366.5 56 256zm72 20v-40c0-6.6 5.4-12 12-12h116v-67c0-10.7 12.9-16 20.5-8.5l99 99c4.7 4.7 4.7 12.3 0 17l-99 99c-7.6 7.6-20.5 2.2-20.5-8.5v-67H140c-6.6 0-12-5.4-12-12z\"><\/path><\/svg>\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-20 elementor-top-column elementor-element elementor-element-9890d51\" data-id=\"9890d51\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-c16a863 elementor-view-default elementor-position-block-start elementor-mobile-position-block-start elementor-widget elementor-widget-icon-box\" data-id=\"c16a863\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-box-wrapper\">\n\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span  class=\"elementor-icon elementor-animation-grow\">\n\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-project-diagram\" viewBox=\"0 0 640 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M384 320H256c-17.67 0-32 14.33-32 32v128c0 17.67 14.33 32 32 32h128c17.67 0 32-14.33 32-32V352c0-17.67-14.33-32-32-32zM192 32c0-17.67-14.33-32-32-32H32C14.33 0 0 14.33 0 32v128c0 17.67 14.33 32 32 32h95.72l73.16 128.04C211.98 300.98 232.4 288 256 288h.28L192 175.51V128h224V64H192V32zM608 0H480c-17.67 0-32 14.33-32 32v128c0 17.67 14.33 32 32 32h128c17.67 0 32-14.33 32-32V32c0-17.67-14.33-32-32-32z\"><\/path><\/svg>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\n\t\t\t\t\t\t\t\t\t<h3 class=\"elementor-icon-box-title\">\n\t\t\t\t\t\t<span  >\n\t\t\t\t\t\t\tSTATISTICAL LEARNING\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<p class=\"elementor-icon-box-description\">\n\t\t\t\t\t\tStatistical models can be applied based on this data by using all biotic and abiotic factors and find dependencies of the fauna that are responsible for the maintenance of the species and communities and to be able to detect shifts in the community structure related with environmental changes. Statistical modelling can be applied to analyze the community structure and their dispersal to effectively assign marine protected areas and plan target oriented monitoring campaigns.\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-f57e8e0 elementor-section-full_width elementor-section-height-default elementor-section-height-default\" data-id=\"f57e8e0\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-3a6b228\" data-id=\"3a6b228\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-6d965ed elementor-align-center elementor-widget elementor-widget-button\" data-id=\"6d965ed\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-md elementor-animation-grow\" href=\"https:\/\/ines-solutions.eu\/portfolio\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">our portfolio<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<article class=\"elementor-section elementor-top-section elementor-element elementor-element-d315925 elementor-section-content-middle elementor-section-full_width elementor-section-stretched elementor-section-height-min-height elementor-section-height-default elementor-section-items-middle\" data-id=\"d315925\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;stretch_section&quot;:&quot;section-stretched&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-2b67cbf\" data-id=\"2b67cbf\" data-element_type=\"column\" data-e-type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-5e9089f5 elementor-widget elementor-widget-text-editor\" data-id=\"5e9089f5\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p style=\"text-align: center;\"><strong>Latest Publications<\/strong><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c558957 elementor-skin-carousel elementor-arrows-yes elementor-pagination-type-bullets elementor-pagination-position-outside elementor-widget elementor-widget-media-carousel\" data-id=\"c558957\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;slides_per_view&quot;:&quot;1&quot;,&quot;skin&quot;:&quot;carousel&quot;,&quot;effect&quot;:&quot;slide&quot;,&quot;show_arrows&quot;:&quot;yes&quot;,&quot;pagination&quot;:&quot;bullets&quot;,&quot;speed&quot;:500,&quot;autoplay&quot;:&quot;yes&quot;,&quot;autoplay_speed&quot;:5000,&quot;loop&quot;:&quot;yes&quot;,&quot;pause_on_hover&quot;:&quot;yes&quot;,&quot;pause_on_interaction&quot;:&quot;yes&quot;,&quot;space_between&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:10,&quot;sizes&quot;:[]},&quot;space_between_tablet&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:10,&quot;sizes&quot;:[]},&quot;space_between_mobile&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:10,&quot;sizes&quot;:[]}}\" data-widget_type=\"media-carousel.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-swiper\">\n\t\t\t\t\t<div class=\"elementor-main-swiper swiper\" role=\"region\" aria-roledescription=\"carousel\" aria-label=\"Slides\">\n\t\t\t\t<div class=\"swiper-wrapper\">\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"swiper-slide\" role=\"group\" aria-roledescription=\"slide\">\n\t\t\t\t\t\t\t<a href=\"https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S014111361930265X?via%3Dihub\" target=\"_blank\">\t\t<div class=\"elementor-carousel-image\" role=\"img\" aria-label=\"Bildschirmfoto 2020-12-01 um 21.14.03\" style=\"background-image: url(&#039;https:\/\/ines-solutions.eu\/wp-content\/uploads\/2020\/12\/Bildschirmfoto-2020-12-01-um-21.14.03.png&#039;)\">\n\n\t\t\t\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<div class=\"elementor-carousel-image-overlay e-overlay-animation-fade\">\n\t\t\t\tABSTRACT\nActive hydrothermal vents are small-scale habitats hosting endemic fauna in a well-defined zonation around fluid effluents. The fauna of inactive hydrothermal vents and its relation to active vents and non-vent area is poorly known. Characterizing inactive areas is prerequisite to establish protected areas, especially in the context of potential seafloor massive sulfide mining, which targets inactive sites. Hierarchical clustering and Distance-based Redundancy Analysis revealed five assemblages, with significantly associated substrate types: I) active hydrothermal vent, II) periphery, III) inactive hydrothermal vent and IV) soft- and V) hard-substrate within the non-vent area. For the first time, a unique inactive faunal assemblage could be identified within the hydrothermally extinct inactive Gauss field and on adjacent hard substrates. The spatial separation from the active Edmond field and periphery and the non-vent area indicates the existence of an inactive assemblage.\t\t\t<\/div>\n\t\t\t<\/a>\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"swiper-slide\" role=\"group\" aria-roledescription=\"slide\">\n\t\t\t\t\t\t\t<a href=\"https:\/\/www.frontiersin.org\/articles\/10.3389\/fmars.2019.00096\/full#h1\" target=\"_blank\">\t\t<div class=\"elementor-carousel-image\" role=\"img\" aria-label=\"\" style=\"background-image: url(&#039;https:\/\/ines-solutions.eu\/wp-content\/uploads\/2020\/12\/Bildschirmfoto-2020-12-01-um-21.26.34.png&#039;)\">\n\n\t\t\t\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<div class=\"elementor-carousel-image-overlay e-overlay-animation-fade\">\n\t\t\t\tActive hydrothermal vent fields are complex, small-scale habitats hosting endemic fauna that changes at scales of centimeters, influenced by topographical variables. In previous studies, it has been shown that the distance to hydrothermal fluids is also a major structuring factor. Imagery analysis based on two dimensional photo stitching revealed insights to the vent field zonation around fluid exits and a basic knowledge of faunal assemblages within hydrothermal vent fields. However, complex three dimensional surfaces could not be adequately replicated in those studies, and the assemblage structure, as well as their relation to abiotic terrain variables, is often only descriptive. In this study we use ROV video imagery of a hydrothermal vent field on the southeastern Indian Ridge in the Indian Ocean. Structure from Motion photogrammetry was applied to build a high resolution 3D reconstruction model of one side of a newly discovered active hydrothermal chimney complex, allowing for the quantification of abundances. Likewise, the reconstruction was used to infer terrain variables at a scale important for megabenthic specimens, which were related to the abundances of the faunal assemblages. Based on the terrain variables, applied random forest model predicted the faunal assemblage distribution with an accuracy of 84.97 %. The most important structuring variables were the distances to diffuse- and black fluid exits, as well as the height of the chimney complex. This novel approach enabled us to classify quantified abundances of megabenthic taxa to distinct faunal assemblages and relate terrain variables to their distribution. The successful prediction of faunal assemblage occurrences further supports the importance of abiotic terrain variables as key structuring factors in hydrothermal systems and offers the possibility to detect suitable areas for Marine Protected areas on larger spatial scales. This technique works for any kind of video imagery, regardless of its initial purpose and can be implemented in marine monitoring and management.\t\t\t<\/div>\n\t\t\t<\/a>\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"elementor-swiper-button elementor-swiper-button-prev\" role=\"button\" tabindex=\"0\" aria-label=\"Previous\">\n\t\t\t\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-eicon-chevron-left\" viewBox=\"0 0 1000 1000\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M646 125C629 125 613 133 604 142L308 442C296 454 292 471 292 487 292 504 296 521 308 533L604 854C617 867 629 875 646 875 663 875 679 871 692 858 704 846 713 829 713 812 713 796 708 779 692 767L438 487 692 225C700 217 708 204 708 187 708 171 704 154 692 142 675 129 663 125 646 125Z\"><\/path><\/svg>\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<div class=\"elementor-swiper-button elementor-swiper-button-next\" role=\"button\" tabindex=\"0\" aria-label=\"Next\">\n\t\t\t\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-eicon-chevron-right\" viewBox=\"0 0 1000 1000\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M696 533C708 521 713 504 713 487 713 471 708 454 696 446L400 146C388 133 375 125 354 125 338 125 325 129 313 142 300 154 292 171 292 187 292 204 296 221 308 233L563 492 304 771C292 783 288 800 288 817 288 833 296 850 308 863 321 871 338 875 354 875 371 875 388 867 400 854L696 533Z\"><\/path><\/svg>\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"swiper-pagination\"><\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/article>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Integrating environmental approaches to facilitate science and marine management INES is an indenpendent Research Institute capable of planning and conducting scientific Expeditions and studies, founded 2019 in Wilhelmshaven. We use our expertise in national and international Cooperations to support Research Institutions and facilitate scientific studies in the field of biodiversity and ecology of marine ecosystems. 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