Estimación de la productividad primaria neta de ecosistemas terrestres del mundo en relación a factores ambientales

Predictive models of aboveground net primary productivity (ANPP) of terrestrial ecosystems morder minimal human intervention were analyzed in relation to climatic, edaphic, and vegetation parameters. Previous research on the subject resulted in climatic models based on limited data. It is of considerable interest, therefore, to analyze the relationship of ANPP and climate with an expanded data set. We hypothesize that llore relation between ANPP and climate, at the global scale, depends on ecosystem type and soil conditions. At the global level, annual precipitation and evapotranspiration were llore only statistically significant climatic parameters. The relationship between ANPP and water use varied among ecosystem types. Linearity was corroborated for the two types of grassaatid considered. Although data for tropical and subtropical forests are scarce, a logistic, highly significant relationship with water use variables was found. Temperate and cold temperate forests and woodlands showed no clear relationship with climatic parameters. Discrimination into evergreen and deciduous forests improved the results: evergreen forests showed a high correlation with water use variables and temperature, while deciduous forests exhibited significant relationship only with age, in particular when young forests ( < 100 years old) were taken into consideration. Soil productive capacity, a variable less commonly available, also affected the variation of ANPP; for our data set its effect was corroborated at the global level, in particular for tropical and subtropical grasslands. Water use efficiency (the ratio of ANPP to annual evapotranspiration) indicated that forests were the most efficient communities, followed by tropical and subtropical grasslands. Temperate grasslands were the least efficient. Through a simple model combining our data set, above-ground net primary production in terrestrial ecosystems of Latin America was estimated at around 13x109 tons a year.

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Bibliographic Details
Main Authors: Gómez, I. A., Gallopín, G. C.
Format: Digital revista
Language:spa
Published: Asociación Argentina de Ecología 1991
Online Access:https://ojs.ecologiaaustral.com.ar/index.php/Ecologia_Austral/article/view/1747
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Summary:Predictive models of aboveground net primary productivity (ANPP) of terrestrial ecosystems morder minimal human intervention were analyzed in relation to climatic, edaphic, and vegetation parameters. Previous research on the subject resulted in climatic models based on limited data. It is of considerable interest, therefore, to analyze the relationship of ANPP and climate with an expanded data set. We hypothesize that llore relation between ANPP and climate, at the global scale, depends on ecosystem type and soil conditions. At the global level, annual precipitation and evapotranspiration were llore only statistically significant climatic parameters. The relationship between ANPP and water use varied among ecosystem types. Linearity was corroborated for the two types of grassaatid considered. Although data for tropical and subtropical forests are scarce, a logistic, highly significant relationship with water use variables was found. Temperate and cold temperate forests and woodlands showed no clear relationship with climatic parameters. Discrimination into evergreen and deciduous forests improved the results: evergreen forests showed a high correlation with water use variables and temperature, while deciduous forests exhibited significant relationship only with age, in particular when young forests ( < 100 years old) were taken into consideration. Soil productive capacity, a variable less commonly available, also affected the variation of ANPP; for our data set its effect was corroborated at the global level, in particular for tropical and subtropical grasslands. Water use efficiency (the ratio of ANPP to annual evapotranspiration) indicated that forests were the most efficient communities, followed by tropical and subtropical grasslands. Temperate grasslands were the least efficient. Through a simple model combining our data set, above-ground net primary production in terrestrial ecosystems of Latin America was estimated at around 13x109 tons a year.