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Se georreferenciaron 391 árboles que se tradujeron en el mismo número de accesiones de la especie para realizar una caracterización ambiental; se consideraron ocho variables climáticas interpoladas, además de nueve ambientales. Con esta información se utilizó el modelo MaxEnt para categorizar de manera probabilística su distribución potencial. El área de estudio se ubicó al oeste de la Sierra de Quila. La validación del modelo se determinó con la técnica Receiver Operating Characteristic (ROC) aplicada en modelos de distribución basados en algoritmos de solo presencia. Para determinar las variables climáticas y ambientales más importantes que influyen en la distribución de la especie se utilizó la prueba de Jackknife. 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window.loswp.willEdgeCache = false; window.loswp.work = {"work":{"id":58533471,"created_at":"2021-10-16T23:24:18.171-07:00","from_world_paper_id":179880026,"updated_at":"2025-02-03T12:49:34.735-08:00","_data":{"abstract":"Con base en su endemismo y área natural restringida en el occidente de Jalisco, se delimitaron las zonas potenciales de distribución de Pinus herrerae. Se georreferenciaron 391 árboles que se tradujeron en el mismo número de accesiones de la especie para realizar una caracterización ambiental; se consideraron ocho variables climáticas interpoladas, además de nueve ambientales. Con esta información se utilizó el modelo MaxEnt para categorizar de manera probabilística su distribución potencial. El área de estudio se ubicó al oeste de la Sierra de Quila. La validación del modelo se determinó con la técnica Receiver Operating Characteristic (ROC) aplicada en modelos de distribución basados en algoritmos de solo presencia. Para determinar las variables climáticas y ambientales más importantes que influyen en la distribución de la especie se utilizó la prueba de Jackknife. De acuerdo a la curva operativa área bajo la curva (AUC) del ROC, ambas interpolaciones en las ...","publisher":"Revista Mexicana de Ciencias Forestales","ai_title_tag":"Potential Distribution of Pinus herrerae in Jalisco","publication_name":"Revista Mexicana de Ciencias Forestales"},"document_type":"paper","pre_hit_view_count_baseline":null,"quality":"high","language":"en","title":"DISTRIBUCIÓN POTENCIAL DE Pinus herrerae Martínez EN EL OCCIDENTE DEL ESTADO DE JALISCO","broadcastable":false,"draft":null,"has_indexable_attachment":true,"indexable":true,"seo_quality":null}}["work"]; window.loswp.workCoauthors = [156792739]; window.loswp.locale = "en"; window.loswp.countryCode = "SG"; window.loswp.cwvAbTestBucket = ""; window.loswp.designVariant = "ds_vanilla"; window.loswp.fullPageMobileSutdModalVariant = "full_page_mobile_sutd_modal"; window.loswp.useOptimizedScribd4genScript = false; window.loginModal = {}; window.loginModal.appleClientId = 'edu.academia.applesignon'; window.userInChina = "false";</script><script defer="" src="https://accounts.google.com/gsi/client"></script><div class="ds-loswp-container"><div class="ds-work-card--grid-container"><div class="ds-work-card--container js-loswp-work-card"><div class="ds-work-card--cover"><div class="ds-work-cover--wrapper"><div class="ds-work-cover--container"><button class="ds-work-cover--clickable js-swp-download-button" data-signup-modal="{"location":"swp-splash-paper-cover","attachmentId":72897872,"attachmentType":"pdf"}"><img alt="First page of “DISTRIBUCIÓN POTENCIAL DE Pinus herrerae Martínez EN EL OCCIDENTE DEL ESTADO DE JALISCO”" class="ds-work-cover--cover-thumbnail" src="https://0.academia-photos.com/attachment_thumbnails/72897872/mini_magick20211016-27522-1smlqd4.png?1634451951" /><img alt="PDF Icon" class="ds-work-cover--file-icon" src="//a.academia-assets.com/images/single_work_splash/adobe_icon.svg" /><div class="ds-work-cover--hover-container"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">download</span><p>Download Free PDF</p></div><div class="ds-work-cover--ribbon-container">Download Free PDF</div><div class="ds-work-cover--ribbon-triangle"></div></button></div></div></div><div class="ds-work-card--work-information"><h1 class="ds-work-card--work-title">DISTRIBUCIÓN POTENCIAL DE Pinus herrerae Martínez EN EL OCCIDENTE DEL ESTADO DE JALISCO</h1><div class="ds-work-card--work-authors ds-work-card--detail"><a class="ds-work-card--author js-wsj-grid-card-author ds2-5-body-md ds2-5-body-link" data-author-id="156792739" href="https://independent.academia.edu/BRAMBILAGARCIA"><img alt="Profile image of RAYMUNDO BRAMBILA GARCIA" class="ds-work-card--author-avatar" src="//a.academia-assets.com/images/s65_no_pic.png" />RAYMUNDO BRAMBILA GARCIA</a></div><div class="ds-work-card--detail"><p class="ds-work-card--detail ds2-5-body-sm">Revista Mexicana de Ciencias Forestales</p><div class="ds-work-card--work-metadata"><div class="ds-work-card--work-metadata__stat"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">visibility</span><p class="ds2-5-body-sm" id="work-metadata-view-count">…</p></div><div class="ds-work-card--work-metadata__stat"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">description</span><p class="ds2-5-body-sm">18 pages</p></div><div class="ds-work-card--work-metadata__stat"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">link</span><p class="ds2-5-body-sm">1 file</p></div></div><script>(async () => { const workId = 58533471; 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Se georreferenciaron 391 árboles que se tradujeron en el mismo número de accesiones de la especie para realizar una caracterización ambiental; se consideraron ocho variables climáticas interpoladas, además de nueve ambientales. Con esta información se utilizó el modelo MaxEnt para categorizar de manera probabilística su distribución potencial. El área de estudio se ubicó al oeste de la Sierra de Quila. La validación del modelo se determinó con la técnica Receiver Operating Characteristic (ROC) aplicada en modelos de distribución basados en algoritmos de solo presencia. Para determinar las variables climáticas y ambientales más importantes que influyen en la distribución de la especie se utilizó la prueba de Jackknife. De acuerdo a la curva operativa área bajo la curva (AUC) del ROC, ambas interpolaciones en las ...</p><div class="ds-work-card--button-container"><div class="primary-buttons "><button class="ds2-5-button js-swp-download-button" data-signup-modal="{"location":"continue-reading-button--work-card","attachmentId":72897872,"attachmentType":"pdf","workUrl":"https://www.academia.edu/58533471/DISTRIBUCIO_N_POTENCIAL_DE_Pinus_herrerae_Marti_nez_EN_EL_OCCIDENTE_DEL_ESTADO_DE_JALISCO"}"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">description</span>See full PDF</button><button class="ds2-5-button ds2-5-button--secondary js-swp-download-button" data-signup-modal="{"location":"download-pdf-button--work-card","attachmentId":72897872,"attachmentType":"pdf","workUrl":"https://www.academia.edu/58533471/DISTRIBUCIO_N_POTENCIAL_DE_Pinus_herrerae_Marti_nez_EN_EL_OCCIDENTE_DEL_ESTADO_DE_JALISCO"}"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">download</span>Download PDF</button></div></div><div class="ds-signup-banner-trigger-container"><div class="ds-signup-banner-trigger ds-signup-banner-trigger-control"></div></div><div class="ds-signup-banner ds-signup-banner-control"><div id="ds-signup-banner-close-button"><button class="ds2-5-button ds2-5-button--secondary ds2-5-button--inverse"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">close</span></button></div><div class="ds-signup-banner-ctas" data-impression-entity-id="58533471" data-impression-entity-type="2" data-impression-source="signup-banner"><img src="//a.academia-assets.com/images/academia-logo-capital-white.svg" /><h4 class="ds2-5-heading-serif-sm">Sign up for access to the world's latest research</h4><button class="ds2-5-button ds2-5-button--inverse ds2-5-button--full-width js-swp-download-button" data-signup-modal="{"location":"signup-banner"}">Sign up for free<span class="material-symbols-outlined" style="font-size: 20px" translate="no">arrow_forward</span></button></div><div class="ds-signup-banner-divider"></div><div class="ds-signup-banner-reasons"><div class="ds-signup-banner-reasons-item"><span class="material-symbols-outlined" style="font-size: 24px" translate="no">check</span><span>Get notified about relevant papers</span></div><div class="ds-signup-banner-reasons-item"><span class="material-symbols-outlined" style="font-size: 24px" translate="no">check</span><span>Save papers to use in your research</span></div><div class="ds-signup-banner-reasons-item"><span class="material-symbols-outlined" style="font-size: 24px" translate="no">check</span><span>Join the discussion with peers</span></div><div class="ds-signup-banner-reasons-item"><span class="material-symbols-outlined" style="font-size: 24px" translate="no">check</span><span>Track your impact</span></div></div></div><script>(() => { // Set up signup banner show/hide behavior: // 1. 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Therefore, in this study, topoclimatic models ...</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Elaboración de Modelos Topoclimáticos de Variables Termopluviométricas para las Regiones del Bío Bío y La Araucanía, Chile","attachmentId":72121579,"attachmentType":"pdf","work_url":"https://www.academia.edu/57022540/Elaboraci%C3%B3n_de_Modelos_Topoclim%C3%A1ticos_de_Variables_Termopluviom%C3%A9tricas_para_las_Regiones_del_B%C3%ADo_B%C3%ADo_y_La_Araucan%C3%ADa_Chile","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/57022540/Elaboraci%C3%B3n_de_Modelos_Topoclim%C3%A1ticos_de_Variables_Termopluviom%C3%A9tricas_para_las_Regiones_del_B%C3%ADo_B%C3%ADo_y_La_Araucan%C3%ADa_Chile"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="3" data-entity-id="14044426" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/14044426/SOFTWARE_PARA_IDENTIFICAR_LAS_TENDENCIAS_DE_CAMBIO_CLIM%C3%81TICO_A_NIVEL_LOCAL_UN_ESTUDIO_DE_CASO_EN_YUCAT%C3%81N_M%C3%89XICO">SOFTWARE PARA IDENTIFICAR LAS TENDENCIAS DE CAMBIO CLIMÁTICO A NIVEL LOCAL: UN ESTUDIO DE CASO EN YUCATÁN, MÉXICO</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="33149775" href="https://independent.academia.edu/DBautistahern%C3%A1ndez">D. Bautista-hernández</a><span>, </span><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="33178248" href="https://independent.academia.edu/%C3%81lvarezO">O. Álvarez</a><span>, </span><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="33067019" href="https://independent.academia.edu/RosaDiegoDeLa">Diego De La Rosa</a><span>, </span><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="151243569" href="https://independent.academia.edu/Mar%C3%ADaAnayaRomero">María Anaya-Romero</a></div><p class="ds-related-work--metadata ds2-5-body-xs">Revista Chapingo Serie Ciencias Forestales y del Ambiente, 2013</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"SOFTWARE PARA IDENTIFICAR LAS TENDENCIAS DE CAMBIO CLIMÁTICO A NIVEL LOCAL: UN ESTUDIO DE CASO EN YUCATÁN, MÉXICO","attachmentId":44669835,"attachmentType":"pdf","work_url":"https://www.academia.edu/14044426/SOFTWARE_PARA_IDENTIFICAR_LAS_TENDENCIAS_DE_CAMBIO_CLIM%C3%81TICO_A_NIVEL_LOCAL_UN_ESTUDIO_DE_CASO_EN_YUCAT%C3%81N_M%C3%89XICO","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/14044426/SOFTWARE_PARA_IDENTIFICAR_LAS_TENDENCIAS_DE_CAMBIO_CLIM%C3%81TICO_A_NIVEL_LOCAL_UN_ESTUDIO_DE_CASO_EN_YUCAT%C3%81N_M%C3%89XICO"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="4" data-entity-id="59805289" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/59805289/%C3%8Dndice_de_calidad_ecol%C3%B3gico_empleando_algas_perif%C3%ADticas_en_un_tramo_del_R%C3%ADo_San_Juan_Antioquia_Colombia_">Índice de calidad ecológico empleando algas perifíticas en un tramo del Río San Juan (Antioquia-Colombia)</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="211879" href="https://udea.academia.edu/YimmyMontoya">Yimmy Montoya</a></div><p class="ds-related-work--metadata ds2-5-body-xs">Revista MVZ Córdoba</p><p class="ds-related-work--abstract ds2-5-body-sm">Este trabajo evaluó la condición ambiental de un tramo del Río San Juan por medio del índice de calidad ecológico (ICE) usando como grupo indicador las algas perifíticas. El método determinó un gradiente ambiental a partir de correlaciones entre variables fisicoquímicas y abundancia a través de un análisis de correspondencias canónicas, las puntuaciones obtenidas en cada punto de muestreo se utilizaron en una correlación estandarizada para un modelo de promedios ponderados (WA) que finalmente permitieron estimar el óptimo y la tolerancia de cada taxón. El agrupamiento determinó tres conjuntos, uno de ellos reunió estaciones y períodos con mayores valores medios de sólidos disueltos y ortofosfatos y menores en cuanto a la alcalinidad y ICESJ-Alg, a este grupo se asociaron la estación 2 (Quebrada la Chaparrala) y la estación 5 (Sitio Remolinos), ambos sitios se caracterizan por aguas turbias e intervención antrópica. En contraste, otro grupo tendió a registrar las tendencias contraria...</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Índice de calidad ecológico empleando algas perifíticas en un tramo del Río San Juan (Antioquia-Colombia)","attachmentId":73538086,"attachmentType":"pdf","work_url":"https://www.academia.edu/59805289/%C3%8Dndice_de_calidad_ecol%C3%B3gico_empleando_algas_perif%C3%ADticas_en_un_tramo_del_R%C3%ADo_San_Juan_Antioquia_Colombia_","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/59805289/%C3%8Dndice_de_calidad_ecol%C3%B3gico_empleando_algas_perif%C3%ADticas_en_un_tramo_del_R%C3%ADo_San_Juan_Antioquia_Colombia_"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="5" data-entity-id="68425057" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/68425057/Modelos_din%C3%A1micos_de_%C3%ADndice_de_sitio_para_cuatro_especies_de_pino_en_Oaxaca">Modelos dinámicos de índice de sitio para cuatro especies de pino en Oaxaca</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="88761809" href="https://unsij.academia.edu/WenceslaoSantiago">Wenceslao Santiago García</a></div><p class="ds-related-work--metadata ds2-5-body-xs">Revista Mexicana de Ciencias Forestales</p><p class="ds-related-work--abstract ds2-5-body-sm">Los modelos de índice de sitio representan una herramienta silvícola muy importante para clasificar la productividad de los bosques. El objetivo de este trabajo fue desarrollar ecuaciones dinámicas de índice de sitio derivadas, mediante el método de Diferencias Algebraicas Generalizadas (GADA), para cuatro especies de pino en la Sierra Norte del estado de Oaxaca, México. Para el ajuste de las ecuaciones se utilizaron datos de análisis de tronco de árboles de Pinus oaxacana, P. douglasiana, P. patula y P. pseudostrobus. Los árboles se seleccionaron en rodales mixtos e irregulares, intentando cubrir las diferentes calidades de estación presentes en las áreas sujetas a manejo forestal en los bosques de la Unidad de Manejo Forestal Regional 2001. Los ajustes se realizaron con el método iterativo y una estructura de error autoregresiva de tiempo continuo de segundo orden (CAR2), para corregir la autocorrelación del término del error. Los resultados indicaron que la formulación GADA del m...</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Modelos dinámicos de índice de sitio para cuatro especies de pino en Oaxaca","attachmentId":78903865,"attachmentType":"pdf","work_url":"https://www.academia.edu/68425057/Modelos_din%C3%A1micos_de_%C3%ADndice_de_sitio_para_cuatro_especies_de_pino_en_Oaxaca","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/68425057/Modelos_din%C3%A1micos_de_%C3%ADndice_de_sitio_para_cuatro_especies_de_pino_en_Oaxaca"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="6" data-entity-id="73914354" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/73914354/Uso_del_An%C3%A1lisis_Envolvente_de_Datos_DEA_para_evaluar_la_eficiencia_de_riego_en_los_M%C3%B3dulos_del_Distrito_de_Riego_No_041_R%C3%ADo_Yaqui_Sonora_M%C3%A9xico_">Uso del Análisis Envolvente de Datos (DEA) para evaluar la eficiencia de riego en los Módulos del Distrito de Riego No. 041, Río Yaqui (Sonora, México)</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="33414842" href="https://independent.academia.edu/Jos%C3%A9LuisMinjaresLugo">José Luis Minjares Lugo</a></div><p class="ds-related-work--metadata ds2-5-body-xs">Revista de la Facultad de Ciencias Agrarias, 2017</p><p class="ds-related-work--abstract ds2-5-body-sm">El Distrito de Riego 041, Río Yaqui, en el noroeste de México, fue afectado por una fuerte sequía que colapsó el sistema hidroagrícola en el ciclo agrícola 2002-2003, donde se estableció únicamente el 29% de la superficie regable. La gestión del manejo de los recursos hídricos en el distrito de riego se ha basado tomando en cuenta la eficiencia del manejo del agua, por lo anterior, en el presente trabajo, se evalúa la eficiencia de riego en los módulos de riego, usando la metodología de Análisis Envolvente de Datos (DEA). El objetivo de la investigación fue identificar la gestión eficiente de riego y conocer hacia dónde canalizar las adecuaciones pertinentes en los próximos años agrícolas en la región de estudio, a través de sus desviaciones en relación con los módulos de riego más eficientes. Las comparaciones agronómicas e hidráulicas, se incluyeron en el software Frontier Analyst Professional; con el propósito de precisar la frontera de posibilidades que permite aumentar o iguala...</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Uso del Análisis Envolvente de Datos (DEA) para evaluar la eficiencia de riego en los Módulos del Distrito de Riego No. 041, Río Yaqui (Sonora, México)","attachmentId":82257256,"attachmentType":"pdf","work_url":"https://www.academia.edu/73914354/Uso_del_An%C3%A1lisis_Envolvente_de_Datos_DEA_para_evaluar_la_eficiencia_de_riego_en_los_M%C3%B3dulos_del_Distrito_de_Riego_No_041_R%C3%ADo_Yaqui_Sonora_M%C3%A9xico_","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/73914354/Uso_del_An%C3%A1lisis_Envolvente_de_Datos_DEA_para_evaluar_la_eficiencia_de_riego_en_los_M%C3%B3dulos_del_Distrito_de_Riego_No_041_R%C3%ADo_Yaqui_Sonora_M%C3%A9xico_"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="7" data-entity-id="102499146" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/102499146/Modelado_de_la_distribuci%C3%B3n_actual_y_bajo_cambio_clim%C3%A1tico_de_pinos_pi%C3%B1oneros_end%C3%A9micos_de_M%C3%A9xico">Modelado de la distribución actual y bajo cambio climático de pinos piñoneros endémicos de México</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="271581044" href="https://independent.academia.edu/SergioMata54">Sergio Mata</a></div><p class="ds-related-work--metadata ds2-5-body-xs">Revista Mexicana de Ciencias Forestales, 2019</p><p class="ds-related-work--abstract ds2-5-body-sm">En la actualidad algunos pinos endémicos de México están en riesgo, debido a diversos factores, tanto antrópicos como relacionados con alteraciones climáticas. En este trabajo se modeló la distribución potencial actual y bajo escenarios de cambio climático de cuatro especies de pinos piñoneros. Para ello, se utilizaron coberturas bioclimáticas y datos de presencia de los taxones considerados, como variables predictoras. Los resultados sugieren una buena predicción de los patrones de distribución geográfica (AUC&gt; 0.9 en todos los casos). La distribución potencial alta generada con el modelo GFDL-CM3, para el horizonte 2049-2065 escenarios RCP 4.5 tuvo modificaciones especificas por taxon en su superficie. Las especies más sensibles fueron Pinus culminicola, P. johannis y P. pinceana que evidenciaron reducciones de 83.6, 59.5 y 80.0 %, respectivamente; comparados con la superficie actual. En el escenario RCP 8.5, las reducciones de estos taxa fueron de 83.7, 56.9 y 79.3 %, para cad...</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Modelado de la distribución actual y bajo cambio climático de pinos piñoneros endémicos de México","attachmentId":102752752,"attachmentType":"pdf","work_url":"https://www.academia.edu/102499146/Modelado_de_la_distribuci%C3%B3n_actual_y_bajo_cambio_clim%C3%A1tico_de_pinos_pi%C3%B1oneros_end%C3%A9micos_de_M%C3%A9xico","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/102499146/Modelado_de_la_distribuci%C3%B3n_actual_y_bajo_cambio_clim%C3%A1tico_de_pinos_pi%C3%B1oneros_end%C3%A9micos_de_M%C3%A9xico"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="8" data-entity-id="29027005" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/29027005/Evaluaci%C3%B3n_del_modelo_FORECAST_en_ecosistemas_forestales_de_Norteam%C3%A9rica_y_el_Caribe">Evaluación del modelo FORECAST en ecosistemas forestales de Norteamérica y el Caribe</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="54624211" href="https://unavarra.academia.edu/JuanABlanco">Juan A. Blanco</a></div><p class="ds-related-work--abstract ds2-5-body-sm">En este trabajo se evaluó la capacidad del modelo FORECAST para proyectar a largo plazo el crecimiento de los árboles de dos ecosistemas diferentes: plantaciones de Pseudotsuga menziesii en la Isla de Vancouver (British Columbia, Canadá) y Pinus caribaea del occidente de Cuba (Pinar del Río). FORECAST es un modelo ecosistémico de manejo forestal diseñado para representar una gran variedad de opciones de manejo y su efecto en la productividad y dinámica del rodal. El modelo es de tipo híbrido y utiliza datos regionales de crecimiento y producción para calcular tasas de los procesos ecosistémicos clave que determinan la productividad y uso de los recursos disponibles por las especies vegetales presentes en la simulación. El modelo se evaluó utilizando datos regionales: datos de parcelas control en Canadá y en el caso de Cuba fueron empleados datos de plantaciones de Pinar del Río de tres calidades de sitio diferentes. Las predicciones del modelo fueron comparadas con las mediciones de campo de: altura, diámetro, densidad del rodal, biomasa aérea y tasas de caída de hojarasca. En ambos casos el modelo captó de forma aceptable las tendencias de crecimiento generales y las respuestas a los tratamientos simulados en ambos ecosistemas, produciendo predicciones dentro de los rangos observados para cada variable estudiada. Los resultados de esta comparación ilustran la utilidad del modelo FORECAST para proyectar el crecimiento del bosque a largo plazo en diferentes ecosistemas de Norteamérica y el Caribe, y los impactos de manejos alternativos en las prácticas de un manejo forestal sostenible.</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Evaluación del modelo FORECAST en ecosistemas forestales de Norteamérica y el Caribe","attachmentId":49476527,"attachmentType":"pdf","work_url":"https://www.academia.edu/29027005/Evaluaci%C3%B3n_del_modelo_FORECAST_en_ecosistemas_forestales_de_Norteam%C3%A9rica_y_el_Caribe","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/29027005/Evaluaci%C3%B3n_del_modelo_FORECAST_en_ecosistemas_forestales_de_Norteam%C3%A9rica_y_el_Caribe"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="9" data-entity-id="12096890" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/12096890/TOPOCLIMATIC_MODELING_OF_THERMOPLUVIOMETRIC_VARIABLES_FOR_THE_B%C3%8DO_B%C3%8DO_AND_LA_ARAUCAN%C3%8DA_REGIONS_CHILE">TOPOCLIMATIC MODELING OF THERMOPLUVIOMETRIC VARIABLES FOR THE BÍO BÍO AND LA ARAUCANÍA REGIONS, CHILE</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="27877482" href="https://uchile.academia.edu/LuisMoralesSalinas">Luis Morales Salinas</a></div><p class="ds-related-work--abstract ds2-5-body-sm">Climatic mapping in the Bío Bío and La Araucanía Regions of Chile is primarily in analog form (paper) and delineation of contours, making it unsuitable for digital handling by geographic information systems (GIS). Therefore, in this study, topoclimatic models were created and spatially represented to explain the spatial and temporal variation of monthly mean temperature and precipitation, as a function of variability and singularity of the physiographic characteristics of the Bío Bío and La Araucanía Regions. The physiographic factors considered were latitude, longitude, altitude, aspect and distance to coastline. To elaborate equations, data from thermopluviometric stations of the study area were compiled and systematized. These stations were standardized to a common reference system in order to locate them in space and obtain the value of physiographic factors for each station. With this information, the equations were calculated using a stepwise (backward) regression procedure, with a statistical significance of 95%. The regression equations obtained for mean monthly and annual temperature and precipitation were all significant (P ≤ 0.05) and had R 2 > 0.7. These equations were applied to the rest of the study area in raster format using a GIS, which yields a spatially continuous cartography. 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