說明
The objective of the proposal is to model the geographic distribution of Pinus psedostrobus and P. leiophylla, by predicting the distribution of their suitable habitat from climate variables. Both species are very important on their ecological role as components of the pine-oak and coniferous forest in México. Pinus psedostrobus is one of the most economically important species in the Neovolcanic Axis (named also Trans-Mexican Volcanic Belt) for its good wood quality, relatively fast growth rate and straight stem. P. leiophylla is usually heavily tapped for resin production and its distribution reaches southern USA, making it a subject for bi-national interest due to its potential to colonize USA grassland-forest transition areas under climatic change scenarios. We will use presence/absence data from (a previously screened for errors) Mexican National Forest Inventory and climatic variables estimated by a spline climate model. Presence or absence in the contemporary climate will be predicted from climate variables obtained for each observation from spline climate surfaces available for Mexico and the rest of North America. A climate profile for each species will be constructed by selecting 5 to 8 of the most relevant climatic variables from 36 climatic variables using the Random Forests algorithm in R. Relevant climate variables are selected according to importance values calculated by the statistical software and according to the errors of prediction of the classification tree. The best fitting models will be used to predict the suitability of the climate for the species on maps gridded at 1 km2 , and distribution maps will be constructed with ArcMap. As an extra product, we will predict the distribution of their suitable habitat for the years 2030, 2060 and 2090, using combinations of three General Circulation Models and two emission scenarios (low and elevated emissions). We considered that management plans for both biological conservation and commercial use must consider actions to accommodate the climatic change, such as assisted migration or assisted colonization.
Reino: 1 Filo: 1 Clase: 1 Orden: 1 Familia: 1 Género: 1 Subgénero: 1 Especie: 2
資料紀錄
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版本
以下的表格只顯示可公開存取資源的已發布版本。
如何引用
研究者應依照以下指示引用此資源。:
'Sáenz-Romero C., E. G. Rehfeldt, J. M. Ortega-Rodríguez y M. C. Marín-Togo. 2014. Modelaje de la Distribución geográfica de Pinus pseudostrobus y P. leiophylla. Unidad San Juanito Itzícuaro. Instituto de Investigaciones Agropecuarias y Forestales. Universidad Michoacana de San Nicolás de Hidalgo. Bases de datos SNIB-CONABIO, proyecto JM036. México, D. F.'
權利
研究者應尊重以下權利聲明。:
此資料的發布者及權利單位為 Comisión nacional para el conocimiento y uso de la biodiversidad。 This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.
GBIF 註冊
此資源已向GBIF註冊,並指定以下之GBIF UUID: a1d63dd1-5456-450c-afc8-25a62ffec50e。 Comisión nacional para el conocimiento y uso de la biodiversidad 發佈此資源,並經由Biodiversity Information System of Mexico同意向GBIF註冊成為資料發佈者。
關鍵字
Occurrence; Plantas; Occurrence
外部資料
此資源尚有其他格式可用
SNIB-JM036-CSV.zip | http://www.snib.mx/proyectos/JM036/SNIB-JM036-CSV.zip UTF-8 CSV |
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SNIB-JM036-BD.zip | http://www.snib.mx/proyectos/JM036/SNIB-JM036-BD.zip UTF-8 MDB MicrosoftAccess2007 |
聯絡資訊
- 出處
- 元數據提供者
- 連絡人
地理涵蓋範圍
País: ESTADOS UNIDOS DE AMERICA (ARIZONA, NEW MEXICO) País: MEXICO (CHIAPAS, CHIHUAHUA, COAHUILA DE ZARAGOZA, DISTRITO FEDERAL, DURANGO, GUANAJUATO, GUERRERO, HIDALGO, JALISCO, MEXICO, MICHOACAN DE OCAMPO, MORELOS, NAYARIT, NUEVO LEON, OAXACA, PUEBLA, QUERETARO DE ARTEAGA, SAN LUIS POTOSI, SINALOA, SONORA, TAMAULIPAS, TLAXCALA, VERACRUZ DE IGNACIO DE LA LLAVE, ZACATECAS)
界定座標範圍 | 緯度南界 經度西界 [15.45, -110.83], 緯度北界 經度東界 [32.95, -92.14] |
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分類群涵蓋範圍
Reino: Plantae Filo: Tracheophyta Clase: Equisetopsida Orden: Pinales Familia: Pinaceae
Kingdom | Plantae |
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Phylum | Tracheophyta |
Class | Equisetopsida |
Order | Pinales |
Family | Pinaceae |
Genus | Pinus |
Subgenus | Pinus |
Species | Pinus (Pinus) leiophylla (manzanita, ocote, ocote blanco, ocote chino, ocote negro, ocotl (Náhuatl), palo otomite, pino, pino blanco, pino calocote, pino chamaite, pino chamonque, pino chico, pino chino, pino coyote, pino negro, pino otomite, pino prieto, pino real, pino saguaco, sawá (Tarahumara)), Pinus (Pinus) pseudostrobus (canish, mocochtaj (Tojolabal), montezumae, ocote, ocote blanco, ocote liso, ocotillo, ocotl (Náhuatl), pinabete, pino, pino amarillo, pino blanco, pino canis, pino cantzimbo, pino chamaite, pino chino, pino colorado, pino de cono chico, pino de hoja fina, pino huiyoco, pino lacio, pino liso, pino nayar, pino oaxacana, pino ocote, pino ortiguillo, pino real, pino rojo, pino triste, taj (Maya)) |
計畫資料
The objective of the proposal is to model the geographic distribution of Pinus psedostrobus and P. leiophylla, by predicting the distribution of their suitable habitat from climate variables. Both species are very important on their ecological role as components of the pine-oak and coniferous forest in México. Pinus psedostrobus is one of the most economically important species in the Neovolcanic Axis (named also Trans-Mexican Volcanic Belt) for its good wood quality, relatively fast growth rate and straight stem. P. leiophylla is usually heavily tapped for resin production and its distribution reaches southern USA, making it a subject for bi-national interest due to its potential to colonize USA grassland-forest transition areas under climatic change scenarios. We will use presence/absence data from (a previously screened for errors) Mexican National Forest Inventory and climatic variables estimated by a spline climate model. Presence or absence in the contemporary climate will be predicted from climate variables obtained for each observation from spline climate surfaces available for Mexico and the rest of North America. A climate profile for each species will be constructed by selecting 5 to 8 of the most relevant climatic variables from 36 climatic variables using the Random Forests algorithm in R. Relevant climate variables are selected according to importance values calculated by the statistical software and according to the errors of prediction of the classification tree. The best fitting models will be used to predict the suitability of the climate for the species on maps gridded at 1 km2 , and distribution maps will be constructed with ArcMap. As an extra product, we will predict the distribution of their suitable habitat for the years 2030, 2060 and 2090, using combinations of three General Circulation Models and two emission scenarios (low and elevated emissions). We considered that management plans for both biological conservation and commercial use must consider actions to accommodate the climatic change, such as assisted migration or assisted colonization.
計畫名稱 | Modelaje de la Distribución geográfica de Pinus pseudostrobus y P. leiophylla |
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辨識碼 | SNIB-JM036-JM0361406F_SIB2015.10.21-ND |
經費來源 | Comisión Nacional para el Conocimiento y Uso de la Biodiversidad (CONABIO) |
研究區域描述 | Plantas sin flores, con semillas, sin frutos como abetos, araucarias, cedros, cícadas, cipreses, efedras, ginkgos, pinos, secuoyas |
參與計畫的人員:
- Principal Investigator
- Content Provider
收藏資料
蒐藏名稱 | NO APLICA;NO APLICA;Forest Service, United States Department of Agriculture;FS-USDA |
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蒐藏編號 | SNIB-JM036-JM0361406F_SIB2015.10.21-ND |
上層採集品識別碼 | NO APLICA |
蒐藏名稱 | NO APLICA;NO APLICA;Comisión Nacional Forestal;CONAFOR |
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蒐藏編號 | SNIB-JM036-JM0361406F_SIB2015.10.21-ND |
上層採集品識別碼 | NO APLICA |
管理單位 | 在...之間 1 和 1 Ejemplar |
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額外的詮釋資料
替代的識別碼 | a1d63dd1-5456-450c-afc8-25a62ffec50e |
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https://www.snib.mx/iptconabio/resource?r=SNIB-JM036 |