{"id":21107,"date":"2018-02-05T10:18:00","date_gmt":"2018-02-05T10:18:00","guid":{"rendered":"https:\/\/www.maapprogram.org\/hotspots-peru-2017\/"},"modified":"2024-09-25T13:34:14","modified_gmt":"2024-09-25T13:34:14","slug":"hotspots-peru-2017","status":"publish","type":"post","link":"https:\/\/www.maapprogram.org\/es\/hotspots-peru-2017\/","title":{"rendered":"MAAP #78: Hotspots de Deforestaci\u00f3n en la Amazon\u00eda Peruana, 2017"},"content":{"rendered":"
\"\"<\/a>
Mapa Base (Imagen 78). Datos: PNCB\/MINAM, UMD\/GLAD, SERNANP<\/div><\/div>\n

Con la entrada del a\u00f1o nuevo, se puede hacer una evaluaci\u00f3n inicial de los\u00a0hotspots de deforestaci\u00f3n<\/strong>\u00a0del 2017 <\/strong>en la Amazon\u00eda peruana<\/strong>, basado en datos de alertas tempranas.*<\/p>\n

A nivel nacional, se estima la p\u00e9rdida forestal de\u00a0143,425<\/strong>\u00a0hect\u00e1reas<\/strong>\u00a0(200,000 campos de f\u00fatbol) durante el 2017.\u00a0Si se confirma, este total representa la cantidad de p\u00e9rdida\u00a0m\u00e1s baja en\u00a0los \u00faltimos 5 a\u00f1os (promedio de 159,688 hect\u00e1reas desde 2012),\u00a0y una ca\u00edda importante (13%) respecto al a\u00f1o anterior.**<\/p>\n

Sin embargo, la deforestaci\u00f3n es a\u00fan extensa. El mapa base<\/strong> muestra los hotspots m\u00e1s intensos, es decir las zonas con alta densidad de p\u00e9rdida de bosque.<\/p>\n

A primera vista, se puede observar dos\u00a0zonas principales de deforestaci\u00f3n extensiva: la Amazon\u00eda centro (Ucayali\/Hu\u00e1nuco) y la Amazon\u00eda sur (Madre de Dios). Adicionalmente, hay varios hotspots dispersos en el pa\u00eds.<\/p>\n

A continuaci\u00f3n, presentamos im\u00e1genes satelitales<\/strong>\u00a0(formato slider) de los hotspots m\u00e1s fuertes. Mostramos que los principales drivers de la deforestaci\u00f3n (causas directas) incluyen la actividad agropecuaria <\/strong>(agricultura y ganader\u00eda), palma aceitera<\/strong>, y miner\u00eda aur\u00edfera<\/strong>.<\/p>\n

Los hotspots discutidos posteriormente, en detalle, son:<\/p>\n

A. Amazon\u00eda centro<\/strong>\u00a0(Ucayali\/Hu\u00e1nuco)
\nB. Sur de Madre de Dios
\n<\/strong>C. Iberia<\/strong> (Madre de Dios)
\nD. Noreste de San Mart\u00edn<\/b>
\nE.\u00a0Nieva (Amazonas)<\/strong><\/p>\n

<\/div>\n

A. Amazon\u00eda centro\u00a0<\/strong>(Ucayali\/Hu\u00e1nuco)<\/h3>\n

Como en a\u00f1os anteriores<\/a>, hay una gran acumulaci\u00f3n de hotspots de alta intensidad en la Amazon\u00eda centro (regiones Ucayali y Hu\u00e1nuco). Se estima la deforestaci\u00f3n de 23,240\u00a0hect\u00e1reas<\/strong> en este hotspot durante el 2017. En esta zona, los principales drivers ser\u00edan ganader\u00eda\u00a0<\/strong>y palma aceitera<\/strong>. La Imagen 78a<\/strong>\u00a0es un slider que muestra un ejemplo del panorama de deforestaci\u00f3n que ocurri\u00f3 durante el 2017.<\/p>\n

[twenty20 img1=\u00bb6864″ img2=\u00bb6865″ width=\u00bb75%\u00bb offset=\u00bb0.5″]<\/p>\n

Imagen 78a. Amazonia Centro. Datos: Planet, NASA\/USGS<\/strong><\/h5>\n
<\/div>\n

B. Sur de Madre de Dios<\/strong><\/h3>\n

Como\u00a0se describe en el MAAP #75<\/a>, Madre de Dios<\/strong> se ha convertido en una de las regiones con mayor deforestaci\u00f3n en el Per\u00fa, con una concentraci\u00f3n de p\u00e9rdida forestal a lo largo de la carretera Interoce\u00e1nica.\u00a0Se estima la deforestaci\u00f3n de 11,115 hect\u00e1reas<\/strong>\u00a0en el sur de Madre de Dios durante el 2017. La Imagen 78b<\/strong>\u00a0es un slider\u00a0donde se muestra la\u00a0deforestaci\u00f3n extensiva en esta zona que ocurri\u00f3 durante el 2017. Los principales drivers ser\u00edan la\u00a0miner\u00eda\u00a0aur\u00ed<\/strong>fera<\/b> (sur de la carretera) y la actividad\u00a0<\/strong>agr\u00edcola<\/b> (norte de la carretera).<\/p>\n

[twenty20 img1=\u00bb6867″ img2=\u00bb6866″ width=\u00bb72%\u00bb offset=\u00bb0.5″]<\/p>\n

Imagen 78b. Sur Madre de Dios. Datos: Planet<\/strong><\/p>\n

<\/div>\n

C. Iberia <\/strong>(Madre de Dios)<\/h3>\n

En el otro lado de Madre de Dios, cerca de la frontera con Brasil,\u00a0se encuentra otro hotspot alrededor\u00a0la localidad de Iberia.\u00a0Se estima la deforestaci\u00f3n de 3,220 hect\u00e1reas<\/strong>\u00a0durante el 2017. La causa de la deforestaci\u00f3n\u00a0ser\u00eda la\u00a0actividad\u00a0<\/strong>agr\u00edcola<\/b>,\u00a0debido al aumento de cultivos como\u00a0ma\u00edz, papaya, y cacao (seg\u00fan algunas fuentes locales).\u00a0La Imagen 78c<\/strong>\u00a0es un slider que muestra la deforestaci\u00f3n al oeste de Iberia (un \u00e1rea conocida como Pacahuara) que ocurri\u00f3 durante el 2017.<\/p>\n

[twenty20 img1=\u00bb6869″ img2=\u00bb6868″ width=\u00bb75%\u00bb offset=\u00bb0.5″]<\/p>\n

Imagen 78c. Iberia. Datos: Planet<\/strong><\/h5>\n
<\/div>\n

D. Noreste de San\u00a0Mart\u00edn<\/strong><\/h3>\n

Un hotspot surgi\u00f3 en el noreste de San Mart\u00edn debido a un proyecto de agricultura a gran escala.\u00a0La Imagen 78d<\/strong>\u00a0es un slider que muestra la deforestaci\u00f3n de\u00a0740 hect\u00e1reas<\/strong>\u00a0durante los \u00faltimos meses del 2017. GeoBosques, un servicio de informaci\u00f3n del Programa Nacional de Conservaci\u00f3n de Bosques del Ministerio del Ambiente (PNCB\/MINAM), ha confirmado que la causa de\u00a0deforestaci\u00f3n es una nueva plantaci\u00f3n de palma aceitera<\/strong>. En efecto, se encuentra muy cerca de una zona con\u00a0extensa deforestaci\u00f3n por palma aceitera, a lo largo del l\u00edmite de las regiones San Martin y Loreto (ver MAAP #16<\/a>).<\/p>\n

[twenty20 img1=\u00bb6870″ img2=\u00bb6871″ width=\u00bb72%\u00bb offset=\u00bb0.5″]<\/p>\n

Imagen 78d. Datos: Planet<\/strong><\/h5>\n
<\/div>\n

E. Nieva <\/strong>(Amazonas)<\/h3>\n

En\u00a0el noroeste de Per\u00fa,\u00a0se encuentra un nuevo hotspot aislado, a lo largo de la carretera Bagua-Saramiriza, en el distrito de Nieva (regi\u00f3n Amazonas).\u00a0Se estima la deforestaci\u00f3n de 1,135 hect\u00e1reas<\/strong> en este hotspot en el 2017. La causa de la deforestaci\u00f3n parece ser la\u00a0actividad\u00a0<\/strong>agropecuaria <\/b>(agricultura y ganader\u00eda).\u00a0La Imagen 78e<\/strong>\u00a0es un slider que muestra la deforestaci\u00f3n que ocurri\u00f3 en esta zona durante el 2017.<\/p>\n

[twenty20 img1=\u00bb6873″ img2=\u00bb6872″ width=\u00bb72%\u00bb offset=\u00bb0.5″]<\/p>\n

Imagen 78e. Datos: Planet<\/strong><\/h5>\n
<\/div>\n

Notas<\/strong><\/h3>\n

*Cabe enfatizar que los datos presentados en este reporte son un estimado\u00a0basado en datos de alertas tempranas\u00a0generados por: 1) el\u00a0Programa\u00a0Nacional de Conservaci\u00f3n de\u00a0Bosques\u00a0para la Mitigaci\u00f3n del Cambio Clim\u00e1tico del Ministerio del Ambiente del Per\u00fa (PNCB\/MINAM), y 2) GLAD\/UMD (Hansen et al 2016 ERL 11:(3)). Los datos oficiales de p\u00e9rdida de bosque son producidos anualmente\u00a0por el PNCB\/MINAM.<\/p>\n

**Seg\u00fan los datos oficiales del\u00a0PNCB\/MINAM, la p\u00e9rdida de bosque en el 2016 fue de 164,662 hect\u00e1reas.\u00a0El promedio de los \u00faltimos 5 a\u00f1os (2012-16) fue\u00a0159,688 hect\u00e1reas.<\/p>\n

<\/div>\n

Coordenadas<\/strong><\/h3>\n

A. -8.289977,-75.415649
\nB.\u00a0-12.969013,-69.918365;\u00a0-12.872639,-70.263062
\nC.\u00a0-11.304257,-69.635468
\nD.\u00a0-6.26539,-75.800171
\nE.\u00a0-4.972954,-78.21167<\/p>\n

<\/div>\n

Referencias<\/strong><\/h3>\n

Planet Team (2017). Planet Application Program Interface: In Space for Life on Earth. San Francisco, CA.\u00a0https:\/\/api.planet.com<\/a><\/p>\n

<\/div>\n

Cita<\/strong><\/h3>\n

Finer M,\u00a0Mamani N, Garc\u00eda R, Novoa S (2018)\u00a0Hotspots de Deforestaci\u00f3n en la Amazon\u00eda Peruana, 2017. MAAP: 78.<\/p>\n

<\/div>\n","protected":false},"excerpt":{"rendered":"

Con la entrada del a\u00f1o nuevo, se puede hacer una evaluaci\u00f3n inicial de los\u00a0hotspots de deforestaci\u00f3n\u00a0del 2017 en la Amazon\u00eda peruana, basado en datos de alertas tempranas.* A nivel nacional, se estima la p\u00e9rdida forestal de\u00a0143,425\u00a0hect\u00e1reas\u00a0(200,000 campos de f\u00fatbol) durante el 2017.\u00a0Si se confirma, este total representa la cantidad de p\u00e9rdida\u00a0m\u00e1s baja en\u00a0los \u00faltimos 5 […]<\/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":[347,44,308],"tags":[157],"ftr_agriculture":[365,357],"carbon-and-climate-change":[],"ftr_country":[483],"fire":[],"infrastructure-threat":[],"land-use":[],"mining-and-logging-threat":[434],"natural-forest-loss":[],"special-analysis":[439],"class_list":["post-21107","post","type-post","status-publish","format-standard","hentry","category-paisesperu","category-palma-aceitera","category-pasto-ganado","tag-maap-78","ftr_agriculture-palma-aceitera","ftr_agriculture-pasto-para-ganado","ftr_country-peru-2","mining-and-logging-threat-mineria-de-oro","special-analysis-focos-de-deforestacion"],"acf":[],"yoast_head":"\nMAAP #78: Hotspots de Deforestaci\u00f3n en la Amazon\u00eda Peruana, 2017 - 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