The sign and magnitude of tree–grass interaction along a global environmental gradient
Aim: The ecological literature posits that positive interactions are preponderant in stressful environments; however, the net balance between positive and negative interactions at the community level is still under debate. This study analysed the effect of trees on grass biomass in natural and culti...
| Autores principales: | , , , , , |
|---|---|
| Formato: | info:ar-repo/semantics/artículo |
| Lenguaje: | Inglés |
| Publicado: |
2017
|
| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.12123/1621 http://onlinelibrary.wiley.com/doi/10.1111/geb.12518/abstract |
| _version_ | 1855034829027934208 |
|---|---|
| author | Mazía, Noemí Moyano, Jaime Pérez, Luis Aguiar, Sebastián Garibaldi, Lucas Alejandro Schlichter, Tomas Miguel |
| author_browse | Aguiar, Sebastián Garibaldi, Lucas Alejandro Mazía, Noemí Moyano, Jaime Pérez, Luis Schlichter, Tomas Miguel |
| author_facet | Mazía, Noemí Moyano, Jaime Pérez, Luis Aguiar, Sebastián Garibaldi, Lucas Alejandro Schlichter, Tomas Miguel |
| author_sort | Mazía, Noemí |
| collection | INTA Digital |
| description | Aim: The ecological literature posits that positive interactions are preponderant in stressful environments; however, the net balance between positive and negative interactions at the community level is still under debate. This study analysed the effect of trees on grass biomass in natural and cultivated woody systems distributed along a global aridity index (AI) gradient.
Location: Global.
Methods: We conducted a meta-analysis including eight natural biomes and tree plantations distributed in five continents. The final database consisted of 93 data pairs across 65 locations spanning a gradient from AI = 0.1 to AI = 2.1, which covered annual precipitation ranging from 70 to 3500 mm. Effect size was calculated as the difference between above-ground grass biomass beneath and outside the tree canopy. We built linear models to evaluate the importance of different biotic and abiotic variables as potential drivers of the effect size. Multimodel inference, based on the Akaike information criterion (AICc) was used to select the best models.
Results: The whole data set shows a shift from net facilitation to net competition along an increasing AI gradient. AI had the highest relative importance in explaining the sign and magnitude of the effect size. Tree characteristics (deciduous–evergreen and leguminous–non-leguminous) were the other predictive variables consistently included in almost all the 10 best models. Deciduous and leguminous trees enhanced grass biomass growing beneath them. Increasing soil sand content, C4 grasses and tropical and natural systems all increased the biomass of grasses growing beneath trees, but their relative importance was substantially lower than that of the AI and tree characteristics.
Main conclusions: The results of our global meta-analysis showed that climatic context and the characteristics of benefactor trees both represent the main drivers of the sign and magnitude of tree–grass interactions. These findings may contribute to advancing knowledge of the mechanisms behind the global patterns. |
| format | info:ar-repo/semantics/artículo |
| id | INTA1621 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2017 |
| publishDateRange | 2017 |
| publishDateSort | 2017 |
| record_format | dspace |
| spelling | INTA16212021-03-09T16:00:51Z The sign and magnitude of tree–grass interaction along a global environmental gradient Mazía, Noemí Moyano, Jaime Pérez, Luis Aguiar, Sebastián Garibaldi, Lucas Alejandro Schlichter, Tomas Miguel Medio Ambiente Environment Grasses Trees Gramíneas Arboles Aim: The ecological literature posits that positive interactions are preponderant in stressful environments; however, the net balance between positive and negative interactions at the community level is still under debate. This study analysed the effect of trees on grass biomass in natural and cultivated woody systems distributed along a global aridity index (AI) gradient. Location: Global. Methods: We conducted a meta-analysis including eight natural biomes and tree plantations distributed in five continents. The final database consisted of 93 data pairs across 65 locations spanning a gradient from AI = 0.1 to AI = 2.1, which covered annual precipitation ranging from 70 to 3500 mm. Effect size was calculated as the difference between above-ground grass biomass beneath and outside the tree canopy. We built linear models to evaluate the importance of different biotic and abiotic variables as potential drivers of the effect size. Multimodel inference, based on the Akaike information criterion (AICc) was used to select the best models. Results: The whole data set shows a shift from net facilitation to net competition along an increasing AI gradient. AI had the highest relative importance in explaining the sign and magnitude of the effect size. Tree characteristics (deciduous–evergreen and leguminous–non-leguminous) were the other predictive variables consistently included in almost all the 10 best models. Deciduous and leguminous trees enhanced grass biomass growing beneath them. Increasing soil sand content, C4 grasses and tropical and natural systems all increased the biomass of grasses growing beneath trees, but their relative importance was substantially lower than that of the AI and tree characteristics. Main conclusions: The results of our global meta-analysis showed that climatic context and the characteristics of benefactor trees both represent the main drivers of the sign and magnitude of tree–grass interactions. These findings may contribute to advancing knowledge of the mechanisms behind the global patterns. Fil: Mazía, Noemí. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal; Argentina Fil: Moyano, Jaime. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal; Argentina Fil: Pérez, Luis. Universidad de Buenos Aires. Facultad de Agronomía; Argentina Fil: Schlichter, Tomas Miguel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; Argentina 2017-10-30T13:41:25Z 2017-10-30T13:41:25Z 2016-12 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion http://hdl.handle.net/20.500.12123/1621 http://onlinelibrary.wiley.com/doi/10.1111/geb.12518/abstract 1466-822X (Print) 1466-8238 (Online) DOI: 10.1111/geb.12518 eng info:eu-repo/semantics/restrictedAccess application/pdf Global ecology and biogeography 25 (12) : 1510–1519. (December 2016) |
| spellingShingle | Medio Ambiente Environment Grasses Trees Gramíneas Arboles Mazía, Noemí Moyano, Jaime Pérez, Luis Aguiar, Sebastián Garibaldi, Lucas Alejandro Schlichter, Tomas Miguel The sign and magnitude of tree–grass interaction along a global environmental gradient |
| title | The sign and magnitude of tree–grass interaction along a global environmental gradient |
| title_full | The sign and magnitude of tree–grass interaction along a global environmental gradient |
| title_fullStr | The sign and magnitude of tree–grass interaction along a global environmental gradient |
| title_full_unstemmed | The sign and magnitude of tree–grass interaction along a global environmental gradient |
| title_short | The sign and magnitude of tree–grass interaction along a global environmental gradient |
| title_sort | sign and magnitude of tree grass interaction along a global environmental gradient |
| topic | Medio Ambiente Environment Grasses Trees Gramíneas Arboles |
| url | http://hdl.handle.net/20.500.12123/1621 http://onlinelibrary.wiley.com/doi/10.1111/geb.12518/abstract |
| work_keys_str_mv | AT mazianoemi thesignandmagnitudeoftreegrassinteractionalongaglobalenvironmentalgradient AT moyanojaime thesignandmagnitudeoftreegrassinteractionalongaglobalenvironmentalgradient AT perezluis thesignandmagnitudeoftreegrassinteractionalongaglobalenvironmentalgradient AT aguiarsebastian thesignandmagnitudeoftreegrassinteractionalongaglobalenvironmentalgradient AT garibaldilucasalejandro thesignandmagnitudeoftreegrassinteractionalongaglobalenvironmentalgradient AT schlichtertomasmiguel thesignandmagnitudeoftreegrassinteractionalongaglobalenvironmentalgradient AT mazianoemi signandmagnitudeoftreegrassinteractionalongaglobalenvironmentalgradient AT moyanojaime signandmagnitudeoftreegrassinteractionalongaglobalenvironmentalgradient AT perezluis signandmagnitudeoftreegrassinteractionalongaglobalenvironmentalgradient AT aguiarsebastian signandmagnitudeoftreegrassinteractionalongaglobalenvironmentalgradient AT garibaldilucasalejandro signandmagnitudeoftreegrassinteractionalongaglobalenvironmentalgradient AT schlichtertomasmiguel signandmagnitudeoftreegrassinteractionalongaglobalenvironmentalgradient |