{"id":23198,"date":"2018-02-05T10:18:00","date_gmt":"2018-02-05T10:18:00","guid":{"rendered":"https:\/\/www.maapprogram.org\/?p=23198"},"modified":"2024-09-17T16:48:52","modified_gmt":"2024-09-17T16:48:52","slug":"maap-78-portugues","status":"publish","type":"post","link":"https:\/\/www.maapprogram.org\/pt-br\/maap-78-portugues\/","title":{"rendered":"MAAP #78: Pontos cr\u00edticos de desmatamento na Amaz\u00f4nia peruana, 2017"},"content":{"rendered":"
\"\"<\/a>
Mapa Base (Imagem 78). Dados: PNCB\/MINAM, UMD\/GLAD, SERNANP<\/span><\/div><\/div>\n

Ao iniciarmos um novo ano, fazemos uma avalia\u00e7\u00e3o inicial de\u00a0\u00a0<\/span>2017<\/span><\/strong>\u00a0, estimando\u00a0\u00a0<\/span>os pontos cr\u00edticos de desmatamento<\/span><\/strong>\u00a0na\u00a0<\/span>Amaz\u00f4nia peruana<\/span><\/strong>\u00a0\u00a0com base em dados de alerta de alerta precoce.*<\/span><\/p>\n

Estimamos a perda anual de florestas de\u00a0\u00a0<\/span>354.410 acres<\/span><\/strong>\u00a0(143.425 hectares) em todo o Peru em 2017. Se confirmado, esse total representa o menor em 5 anos (m\u00e9dia de 394.600 acres desde 2012) e uma redu\u00e7\u00e3o de 13% em rela\u00e7\u00e3o ao ano passado.**<\/span><\/p>\n

O desmatamento, no entanto, ainda \u00e9 generalizado. O\u00a0\u00a0<\/span>mapa base<\/span><\/strong>\u00a0mostra os hotspots mais intensos (\u00e1reas com maior densidade de perda florestal).<\/span><\/p>\n

As duas principais \u00e1reas de desmatamento s\u00e3o vistas claramente: a Amaz\u00f4nia central (regi\u00f5es de Ucayali\/Hu\u00e1nuco) e a Amaz\u00f4nia meridional (Madre de Dios). Al\u00e9m disso, h\u00e1 v\u00e1rios hotspots adicionais espalhados por todo o pa\u00eds.<\/span><\/p>\n

Apresentamos\u00a0<\/span>imagens de sat\u00e9lite<\/span><\/strong>\u00a0(formato slider) dos hotspots mais intensos. As imagens revelam que os principais\u00a0<\/span>impulsionadores do desmatamento<\/span><\/strong>\u00a0incluem minera\u00e7\u00e3o de ouro, \u00f3leo de palma e agricultura em geral (lavouras e pecu\u00e1ria).<\/span><\/p>\n

Os pontos cr\u00edticos detalhados abaixo s\u00e3o:<\/span><\/p>\n

A.\u00a0<\/span>\u00a0Amaz\u00f4nia Central<\/span><\/strong>\u00a0\u00a0(Ucayali\/Hu\u00e1nuco)<\/span>
\nB.\u00a0<\/span>Madre de Dios Meridional<\/span>
\n<\/strong>C.\u00a0<\/span>Ib\u00e9ria<\/span><\/strong>\u00a0(Madre de Dios)<\/span>
\nD. Nordeste\u00a0\u00a0<\/span>San Mart\u00edn<\/span><\/b>
\nE.\u00a0<\/span>\u00a0<\/strong>Nieva (\u00a0<\/span>Amazonas<\/span><\/strong>\u00a0)<\/span><\/p>\n

<\/div>\n

A. Amaz\u00f4nia Central\u00a0<\/span><\/strong>\u00a0(Ucayali\/Hu\u00e1nuco)<\/span><\/h3>\n

Como nos\u00a0<\/span>anos anteriores<\/span><\/a>\u00a0, h\u00e1 uma concentra\u00e7\u00e3o de hotspots de alta intensidade na Amaz\u00f4nia peruana central (regi\u00f5es de Ucayali e Hu\u00e1nuco). Estimamos o desmatamento de\u00a0\u00a0<\/span>57.430 acres<\/span><\/strong>\u00a0(23.240 hectares) neste hotspot durante 2017. As imagens mostram que os principais impulsionadores s\u00e3o provavelmente\u00a0\u00a0<\/span>a pecu\u00e1ria<\/span><\/strong>\u00a0e as planta\u00e7\u00f5es de\u00a0<\/span>\u00f3leo de palma<\/span><\/strong>\u00a0.\u00a0<\/span>A Imagem 78a<\/span><\/strong>\u00a0\u00e9 um controle deslizante que mostra um exemplo do desmatamento neste hotspot durante 2017.<\/span><\/p>\n

[vinte e dois img1=\u201d6875\u2033 img2=\u201d6876\u2033 largura=\u201d78%\u201d deslocamento=\u201d0,5\u2033]
\nImagem 78a. Amaz\u00f4nia Central. Dados: Planet, NASA\/USGS<\/span><\/strong><\/p>\n

<\/div><\/span><\/h3>\n

B. Madre de Dios do Sul<\/span><\/strong><\/h3>\n

Conforme descrito no\u00a0<\/span>MAAP #75<\/span><\/a>\u00a0,\u00a0<\/span>Madre de Dios<\/span><\/strong>\u00a0se tornou uma das regi\u00f5es com as maiores taxas de desmatamento no Peru, com concentra\u00e7\u00e3o ao longo da rodovia Interoce\u00e2nica. Estimamos o desmatamento de\u00a0\u00a0<\/span>27.465 acres<\/span><\/strong>\u00a0(11.115 hectares) no sul de Madre de Dios durante 2017.\u00a0<\/span>A Imagem 78b<\/span><\/strong>\u00a0\u00e9 um controle deslizante que mostra o extenso desmatamento que ocorreu nesta \u00e1rea durante 2017. As imagens mostram que os principais impulsionadores s\u00e3o\u00a0\u00a0<\/span>a minera\u00e7\u00e3o de ouro<\/span><\/strong>\u00a0(ao sul da rodovia) e\u00a0\u00a0<\/span>a agricultura<\/span><\/strong>\u00a0de pequena a m\u00e9dia escala \u00a0(ao norte da estrada).<\/span><\/p>\n

[vinte e dois img1=\u201d6877\u2033 img2=\u201d6878\u2033 largura=\u201d78%\u201d deslocamento=\u201d0,5\u2033]<\/span><\/p>\n

Imagem 78b. Sul Madre de Dios. Dados: Planeta<\/span><\/strong><\/h5>\n
<\/div>\n

C. Ib\u00e9ria<\/span><\/strong>\u00a0(Madre de Dios)<\/span><\/h3>\n

Do outro lado de Madre de Dios, perto da fronteira com o Brasil, outro hotspot est\u00e1 localizado ao redor da cidade de Iberia. Estimamos o desmatamento de\u00a0\u00a0<\/span>7.955 acres<\/span><\/strong>\u00a0(3.220 hectares) neste hotspot durante 2017. \u00a0\u00a0<\/span>A Imagem 78c \u00e9 um controle deslizante mostrando o desmatamento na \u00e1rea do hotspot a oeste de Iberia (conhecido como Pacahuara). As imagens mostram que o principal fator de desmatamento \u00e9\u00a0<\/span><\/strong>a agricultura\u00a0<\/span><\/strong>\u00a0de pequena a m\u00e9dia escala\u00a0\u00a0(de acordo com fontes locais, as principais culturas incluem milho, mam\u00e3o e cacau).<\/span><\/p>\n

[vinte e dois img1=\u201d6880\u2033 img2=\u201d6879\u2033 largura=\u201d78%\u201d deslocamento=\u201d0,5\u2033]<\/span><\/p>\n

Imagem 78c. Ib\u00e9ria. Dados: Planeta<\/span><\/strong><\/h5>\n
<\/div>\n

D. Nordeste de San Mart\u00edn<\/span><\/strong><\/h3>\n

Um novo hotspot surgiu no canto nordeste de San Martin devido a uma planta\u00e7\u00e3o agr\u00edcola em larga escala.\u00a0<\/span>A imagem 78d<\/span><\/strong>\u00a0\u00e9 um controle deslizante que mostra o desmatamento de\u00a0<\/span>1.830 acres<\/span><\/strong>\u00a0(740 hectares) durante os \u00faltimos meses de 2017. O Minist\u00e9rio do Meio Ambiente peruano confirmou que a causa \u00e9 uma nova planta\u00e7\u00e3o de\u00a0<\/span>\u00f3leo de palma<\/span><\/strong>\u00a0. De fato, esse novo desmatamento est\u00e1 pr\u00f3ximo de uma \u00e1rea que sofreu extenso desmatamento para planta\u00e7\u00f5es de \u00f3leo de palma nos \u00faltimos anos (veja\u00a0<\/span>MAAP #16<\/span><\/a>\u00a0).<\/span><\/p>\n

[vinte e dois img1=\u201d6882\u2033 img2=\u201d6881\u2033 largura=\u201d78%\u201d deslocamento=\u201d0,5\u2033]<\/span><\/p>\n

Imagem 78d. San Martin. Dados: Planeta<\/span><\/strong><\/h5>\n
<\/div>\n

E. Nieva<\/span><\/strong>\u00a0(Amazonas)<\/span><\/h3>\n

No noroeste do Peru, h\u00e1 um novo hotspot isolado ao longo de uma estrada que conecta as cidades de Bagua e Saramiriza no distrito de Nieva (regi\u00e3o do Amazonas). Estimamos o desmatamento de 2.805 acres (1.135 hectares) neste hotspot durante 2017.\u00a0<\/span>A imagem 78e<\/span><\/strong>\u00a0\u00e9 um controle deslizante que mostra um exemplo do desmatamento recente. As imagens mostram que a causa do desmatamento \u00e9 principalmente a agricultura de pequena escala e pastagens para gado.<\/span><\/p>\n

[vinte e dois img1=\u201d6884\u2033 img2=\u201d6883\u2033 largura=\u201d78%\u201d deslocamento=\u201d0,5\u2033]<\/span><\/p>\n

Imagem 78e. Nieva. Dados: Planeta<\/span><\/strong><\/h5>\n
<\/div>\n

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

*Enfatizamos que os dados apresentados neste relat\u00f3rio s\u00e3o estimativas baseadas em dados de alerta de alerta precoce gerados por: 1) GLAD\/UMD (Hansen et al 2016 ERL 11: (3)), e 2) o Programa Nacional de Conserva\u00e7\u00e3o Florestal para Mitiga\u00e7\u00e3o das Mudan\u00e7as Clim\u00e1ticas do Minist\u00e9rio do Meio Ambiente do Peru (PNCB\/MINAM). Os dados oficiais de perda florestal s\u00e3o produzidos anualmente pelo PNCB\/MINAM.<\/span><\/p>\n

**Segundo dados oficiais do PNCB\/MINAM, a perda florestal em 2016 foi de 164.662 hectares. A m\u00e9dia dos \u00faltimos 5 anos (2012-16) foi de 159.688 hectares<\/span><\/p>\n

<\/div>\n

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

A. -8,289977,-75,415649<\/span>
\nB. -12,969013,-69,918365; -12,872639,-70,263062<\/span>
\nC. -11,304257,-69,635468<\/span>
\nD. -6,26539,-75,800171<\/span>
\nE. -4,972954,-78,21167<\/span><\/p>\n

<\/div><\/span><\/h3>\n

Refer\u00eancias<\/span><\/strong><\/h3>\n

Planet Team (2017). Planet Application Program Interface: No espa\u00e7o para a vida na Terra. S\u00e3o Francisco, CA.\u00a0\u00a0<\/span>https:\/\/api.planet.com<\/span><\/a><\/p>\n

<\/div>\n

Cita\u00e7\u00e3o<\/span><\/strong><\/h3>\n

Finer M, Mamani N, Garc\u00eda R, Novoa S (2018) Pontos cr\u00edticos de desmatamento na Amaz\u00f4nia peruana, 2017. MAAP: 78.<\/span><\/p>\n

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

Ao iniciarmos um novo ano, fazemos uma avalia\u00e7\u00e3o inicial de\u00a0\u00a02017\u00a0, estimando\u00a0\u00a0os pontos cr\u00edticos de desmatamento\u00a0na\u00a0Amaz\u00f4nia peruana\u00a0\u00a0com base em dados de alerta de alerta precoce.* Estimamos a perda anual de florestas de\u00a0\u00a0354.410 acres\u00a0(143.425 hectares) em todo o Peru em 2017. Se confirmado, esse total representa o menor em 5 anos (m\u00e9dia de 394.600 acres desde 2012) […]<\/p>\n","protected":false},"author":4,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[3],"tags":[],"ftr_agriculture":[364,356],"carbon-and-climate-change":[],"ftr_country":[400],"fire":[],"infrastructure-threat":[],"land-use":[],"mining-and-logging-threat":[459],"natural-forest-loss":[],"special-analysis":[464],"class_list":["post-23198","post","type-post","status-publish","format-standard","hentry","category-nao-categorizado","ftr_agriculture-oleo-de-palma","ftr_agriculture-pasto-de-gado","ftr_country-peru","mining-and-logging-threat-mineracao-de-ouro","special-analysis-pontos-criticos-de-desmatamento"],"acf":[],"yoast_head":"\nMAAP #78: Pontos cr\u00edticos de desmatamento na Amaz\u00f4nia peruana, 2017 - 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\/pt-br\/maap-78-portugues\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"MAAP #78: Pontos cr\u00edticos de desmatamento na Amaz\u00f4nia peruana, 2017 - MAAP\" \/>\n<meta property=\"og:description\" content=\"Ao iniciarmos um novo ano, fazemos uma avalia\u00e7\u00e3o inicial de\u00a0\u00a02017\u00a0, estimando\u00a0\u00a0os pontos cr\u00edticos de desmatamento\u00a0na\u00a0Amaz\u00f4nia peruana\u00a0\u00a0com base em dados de alerta de alerta precoce.* Estimamos a perda anual de florestas de\u00a0\u00a0354.410 acres\u00a0(143.425 hectares) em todo o Peru em 2017. Se confirmado, esse total representa o menor em 5 anos (m\u00e9dia de 394.600 acres desde 2012) […]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.maapprogram.org\/pt-br\/maap-78-portugues\/\" \/>\n<meta property=\"og:site_name\" content=\"MAAP\" \/>\n<meta property=\"article:published_time\" content=\"2018-02-05T10:18:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-09-17T16:48:52+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.maapprogram.org\/wp-content\/uploads\/2018\/02\/HOTSPOTS-2017_V3.jpg\" \/>\n<meta name=\"author\" content=\"MAAP Consultants\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Escrito por\" \/>\n\t<meta name=\"twitter:data1\" content=\"MAAP Consultants\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. tempo de leitura\" \/>\n\t<meta name=\"twitter:data2\" content=\"5 minutos\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/www.maapprogram.org\\\/pt-br\\\/maap-78-portugues\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.maapprogram.org\\\/pt-br\\\/maap-78-portugues\\\/\"},\"author\":{\"name\":\"MAAP Consultants\",\"@id\":\"https:\\\/\\\/www.maapprogram.org\\\/pt-br\\\/#\\\/schema\\\/person\\\/2f7133e3c0723ceecd6dabc9b4f198ce\"},\"headline\":\"MAAP #78: Pontos cr\u00edticos de desmatamento na Amaz\u00f4nia peruana, 2017\",\"datePublished\":\"2018-02-05T10:18:00+00:00\",\"dateModified\":\"2024-09-17T16:48:52+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/www.maapprogram.org\\\/pt-br\\\/maap-78-portugues\\\/\"},\"wordCount\":886,\"commentCount\":0,\"image\":{\"@id\":\"https:\\\/\\\/www.maapprogram.org\\\/pt-br\\\/maap-78-portugues\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/www.maapprogram.org\\\/wp-content\\\/uploads\\\/2018\\\/02\\\/HOTSPOTS-2017_V3.jpg\",\"articleSection\":[\"N\u00e3o categorizado\"],\"inLanguage\":\"pt-BR\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\\\/\\\/www.maapprogram.org\\\/pt-br\\\/maap-78-portugues\\\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/www.maapprogram.org\\\/pt-br\\\/maap-78-portugues\\\/\",\"url\":\"https:\\\/\\\/www.maapprogram.org\\\/pt-br\\\/maap-78-portugues\\\/\",\"name\":\"MAAP #78: Pontos cr\u00edticos de desmatamento na Amaz\u00f4nia peruana, 2017 - 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