{"id":21250,"date":"2017-08-09T13:09:00","date_gmt":"2017-08-09T13:09:00","guid":{"rendered":"https:\/\/www.maapprogram.org\/hotpots-2017\/"},"modified":"2024-09-24T20:47:14","modified_gmt":"2024-09-24T20:47:14","slug":"hotpots-2017","status":"publish","type":"post","link":"https:\/\/www.maapprogram.org\/es\/hotpots-2017\/","title":{"rendered":"MAAP #65: Hotspots de Deforestaci\u00f3n del 2017, en la Amazon\u00eda Peruana"},"content":{"rendered":"<div id=\"attachment_6080\" class=\"thumbnail alignright\"><a href=\"https:\/\/www.maapprogram.org\/wp-content\/uploads\/2017\/08\/MAAP_Kernel_2017_O_v2.jpg\"><img decoding=\"async\" class=\"wp-image-6080\" src=\"https:\/\/www.maapprogram.org\/wp-content\/uploads\/2017\/08\/MAAP_Kernel_2017_O_v2.jpg\" alt=\"\" width=\"419\" height=\"542\" \/><\/a><div class=\"caption\">Imagen 65. Datos: MINAM\/PNCB, UMD\/GLAD, SERNANP, MAAP<\/div><\/div>\n<p>En el reporte anterior\u00a0<a href=\"https:\/\/www.maapprogram.org\/2016\/alertas-tempranas\/\">MAAP #40<\/a>,\u00a0destacamos la gran utilidad de combinar las alertas tempranas\u00a0GLAD* con un an\u00e1lisis de im\u00e1genes satelitales de alta resoluci\u00f3n (por ejemplo, de la empresa <a href=\"https:\/\/www.maapprogram.org\/2017\/minisatelites\/\">Planet<\/a>), como parte de un\u00a0<strong>sistema integral<\/strong>\u00a0de\u00a0<strong>monitoreo de deforestaci\u00f3n en tiempo casi real.<\/strong><\/p>\n<p>En el presente reporte, analizamos las alertas GLAD del 2017 (hasta 17 de julio) para identificar los <strong>hotspots de deforestaci\u00f3n<\/strong> en la Amazon\u00eda peruana durante el a\u00f1o en curso.** Se estima la p\u00e9rdida\u00a0de aproximadamente 15,000 hect\u00e1reas (20,550 campos de f\u00fatbol) de bosque, hasta mediados de julio, seg\u00fan las alertas GLAD.<\/p>\n<p>La <strong>Imagen 65<\/strong> muestra los hotspots m\u00e1s fuertes (zonas con alta densidad de p\u00e9rdida de bosque).<\/p>\n<p>A continuaci\u00f3n, analizamos los hotspots m\u00e1s altos, indicadas por los colores<strong><span style=\"color: #ff0000;\"> rojo<\/span><\/strong> y <strong><span style=\"color: #ff6600;\">naranja<\/span><\/strong>.<\/p>\n<div>\u00a0Estas \u00e1reas incluyen:<\/div>\n<div>\n<ul>\n<li>Las zonas de amortiguamiento de la Reserva Nacional Tambopata y del Parque Nacional Cordillera Azul<\/li>\n<li>Zonas de p\u00e9rdida natural debido a los vientos huracanados, en la regi\u00f3n Madre de Dios<\/li>\n<li>La frontera con Colombia<\/li>\n<\/ul>\n<\/div>\n<div class=\"fitem-sep\"><\/div>\n<h3><strong>Zona de Amortiguamiento de la Reserva Nacional Tambopata<\/strong><\/h3>\n<p>El <strong>Cuadro A<\/strong> indica una zona de alta actividad de <strong>miner\u00eda aur\u00edfera<\/strong> en la zona de amortiguamiento de la Reserva Nacional Tambopata, en la regi\u00f3n Madre de Dios. La Imagen 65a muestra la deforestaci\u00f3n de 490 hect\u00e1reas (670 campos de f\u00fatbol) en esta zona, en el 2017.\u00a0En esta zona se ha realizado una <a href=\"http:\/\/elcomercio.pe\/peru\/madre-de-dios\/infierno-pampa-pnp-intervino-campamentos-mineria-ilegal-440071\">reciente intervenci\u00f3n<\/a> a inicios de julio, que ha reducido el avance de la deforestaci\u00f3n. Sin embargo, hemos confirmado que a\u00fan se mantiene la presencia de campamentos mineros.<\/p>\n<div id=\"attachment_6081\" class=\"thumbnail alignleft\"><a href=\"https:\/\/www.maapprogram.org\/wp-content\/uploads\/2017\/08\/MAAP_Kernel_2017_A_m_v1.jpg\"><img decoding=\"async\" class=\"size-full wp-image-6081\" src=\"https:\/\/www.maapprogram.org\/wp-content\/uploads\/2017\/08\/MAAP_Kernel_2017_A_m_v1.jpg\" alt=\"\" width=\"1912\" height=\"713\" \/><\/a><div class=\"caption\">Imagen 65a. Datos: Planet<\/div><\/div>\n<div class=\"fitem-sep\"><\/div>\n<h3><strong>Vientos Huracanados<\/strong><\/h3>\n<p>Los <strong>Cuadros B y C<\/strong> indican dos zonas que experimentaron la p\u00e9rdida natural de m\u00e1s de 400 hect\u00e1reas (548 campos de f\u00fatbol) en la regi\u00f3n Madre de Dios\u00a0causada por\u00a0<strong>vientos huracanados<\/strong>, tormentas localizadas con vientos fuertes. Ver <a href=\"https:\/\/www.maapprogram.org\/2017\/huracanados\/\">MAAP #54<\/a> y <a href=\"https:\/\/www.maapprogram.org\/2017\/vientos-huracanados2\/\">MAAP #55<\/a> para m\u00e1s detalles sobre <strong>vientos huracanados.<\/strong><\/p>\n<div id=\"attachment_6082\" class=\"thumbnail alignleft\"><a href=\"https:\/\/www.maapprogram.org\/wp-content\/uploads\/2017\/08\/MAAP_Kernel_2017_B_m_v2.jpg\"><img decoding=\"async\" class=\"wp-image-6082 size-full\" src=\"https:\/\/www.maapprogram.org\/wp-content\/uploads\/2017\/08\/MAAP_Kernel_2017_B_m_v2.jpg\" alt=\"\" width=\"1408\" height=\"697\" \/><\/a><div class=\"caption\">Imagen 65b. Datos: Planet<\/div><\/div>\n<div id=\"attachment_6083\" class=\"thumbnail alignleft\"><a href=\"https:\/\/www.maapprogram.org\/wp-content\/uploads\/2017\/08\/MAAP_Kernel_2017_C_m_v2.jpg\"><img decoding=\"async\" class=\"wp-image-6083 size-full\" src=\"https:\/\/www.maapprogram.org\/wp-content\/uploads\/2017\/08\/MAAP_Kernel_2017_C_m_v2.jpg\" alt=\"\" width=\"1715\" height=\"708\" \/><\/a><div class=\"caption\">Imagen 65c. Datos: Planet<\/div><\/div>\n<div class=\"fitem-sep\"><\/div>\n<h3><strong>Zona de Amortiguamiento del Parque Nacional Cordillera Azul <\/strong><\/h3>\n<p>El <strong>Cuadro D<\/strong> indica una zona de alta deforestaci\u00f3n en la zona de amortiguamiento del Parque Nacional Cordillera Azul, en la regi\u00f3n San Martin. La Imagen 65d muestra un ejemplo de la deforestaci\u00f3n (56 hect\u00e1reas) en esta zona, en el 2017.\u00a0La causa principal parece ser \u00a0la actividad agr\u00edcola.<\/p>\n<div id=\"attachment_6084\" class=\"thumbnail alignleft\"><a href=\"https:\/\/www.maapprogram.org\/wp-content\/uploads\/2017\/08\/MAAP_Kernel_2017_D_m_v2.jpg\"><img decoding=\"async\" class=\"wp-image-6084 size-full\" src=\"https:\/\/www.maapprogram.org\/wp-content\/uploads\/2017\/08\/MAAP_Kernel_2017_D_m_v2.jpg\" alt=\"\" width=\"1696\" height=\"710\" \/><\/a><div class=\"caption\">Imagen 65d. Datos: Planet<\/div><\/div>\n<div class=\"fitem-sep\"><\/div>\n<h3><strong>Frontera con Colombia<\/strong><\/h3>\n<p>El <strong>Cuadro E<\/strong> indica un hotspot en el extremo norte del Per\u00fa, en la frontera con Colombia. Este hotspot se est\u00e1 acercando al l\u00edmite de la Reserva Comunal Huimeki. La Imagen 65e muestra la deforestaci\u00f3n de 158 hect\u00e1reas en esta zona, en el 2017 (216 campos de f\u00fatbol). El driver podr\u00eda estar vinculado a actividades agr\u00edcolas y cultivos il\u00edcitos.<\/p>\n<div id=\"attachment_6086\" class=\"thumbnail alignleft\"><a href=\"https:\/\/www.maapprogram.org\/wp-content\/uploads\/2017\/08\/MAAP_Kernel_2017_E_m_v2.jpg\"><img decoding=\"async\" class=\"size-full wp-image-6086\" src=\"https:\/\/www.maapprogram.org\/wp-content\/uploads\/2017\/08\/MAAP_Kernel_2017_E_m_v2.jpg\" alt=\"\" width=\"1550\" height=\"705\" \/><\/a><div class=\"caption\">Imagen 65e. Datos: Planet<\/div><\/div>\n<div class=\"fitem-sep\"><\/div>\n<h3><strong>Notas<\/strong><\/h3>\n<p>*Las <strong>alertas GLAD<\/strong>, producidas por el\u00a0<a href=\"http:\/\/www.glad.umd.edu\/\">laboratorio GLAD<\/a>\u00a0de la Universidad de Maryland, se basa en la identificaci\u00f3n de \u00e1reas de p\u00e9rdida de bosque que se obtienen analizando im\u00e1genes satelitales Landsat \u00a0(30 metros de resoluci\u00f3n) semanalmente. Se puede acceder a las alertas a\u00a0trav\u00e9s del portal de\u00a0<a href=\"http:\/\/www.globalforestwatch.org\/map\/5\/-9.31\/-75.01\/PER\/grayscale\/umd_as_it_happens?tab=analysis-tab&amp;begin=2015-01-01&amp;end=2016-06-09\">Global Forest Watch<\/a> y de la plataforma\u00a0<a href=\"http:\/\/geobosques.minam.gob.pe:81\/geobosque\/visor\/index.php\">GEO BOSQUES<\/a> del Programa Nacional de Conservaci\u00f3n de Bosques para la Mitigaci\u00f3n del Cambio Clim\u00e1tico\u00a0del Ministerio del Ambiente.<\/p>\n<p>**Realizamos una estimaci\u00f3n de densidad kernel, un an\u00e1lisis que calcula la magnitud por unidad de \u00e1rea de un fen\u00f3meno particular, en este caso, la p\u00e9rdida de bosques.<\/p>\n<div class=\"fitem-sep\"><\/div>\n<h3><strong>Referencia<\/strong><\/h3>\n<p>Planet Team (2017). Planet Application Program Interface: In Space for Life on Earth. San Francisco, CA. https:\/\/api.planet.com.<\/p>\n<div class=\"fitem-sep\"><\/div>\n<h3><strong>Cita<\/strong><\/h3>\n<p>Novoa S, Finer M (2017)\u00a0Hotpots de Deforestaci\u00f3n en 2017 en la Amazon\u00eda Peruana. MAAP: 65.<\/p>\n<div class=\"fitem-sep\"><\/div>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>En el reporte anterior\u00a0MAAP #40,\u00a0destacamos la gran utilidad de combinar las alertas tempranas\u00a0GLAD* con un an\u00e1lisis de im\u00e1genes satelitales de alta resoluci\u00f3n (por ejemplo, de la empresa Planet), como parte de un\u00a0sistema integral\u00a0de\u00a0monitoreo de deforestaci\u00f3n en tiempo casi real. En el presente reporte, analizamos las alertas GLAD del 2017 (hasta 17 de julio) para identificar [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[347,311],"tags":[144],"ftr_agriculture":[],"carbon-and-climate-change":[],"ftr_country":[483],"fire":[],"infrastructure-threat":[],"land-use":[],"mining-and-logging-threat":[],"natural-forest-loss":[],"special-analysis":[439],"class_list":["post-21250","post","type-post","status-publish","format-standard","hentry","category-paisesperu","category-vientos-huracanados","tag-maap-65","ftr_country-peru-2","special-analysis-focos-de-deforestacion"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>MAAP #65: Hotspots de Deforestaci\u00f3n del 2017, en la Amazon\u00eda Peruana - MAAP<\/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.maapprogram.org\/es\/hotpots-2017\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"MAAP #65: Hotspots de Deforestaci\u00f3n del 2017, en la Amazon\u00eda Peruana - MAAP\" \/>\n<meta property=\"og:description\" content=\"En el reporte anterior\u00a0MAAP #40,\u00a0destacamos la gran utilidad de combinar las alertas tempranas\u00a0GLAD* con un an\u00e1lisis de im\u00e1genes satelitales de alta resoluci\u00f3n (por ejemplo, de la empresa Planet), como parte de un\u00a0sistema integral\u00a0de\u00a0monitoreo de deforestaci\u00f3n en tiempo casi real. 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