Drivers of N2O emissions from natural forests and grasslands differ in space and time
Understanding the drivers of greenhouse gas (GHG) emissions is one of the most critical global environmental challenges to mitigate the increasing global temperature. Nitrous oxide (N2O) emissions are highly variable in space and time and are controlled by multiple proximal drivers, that is, those t...
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| Formato: | Artículo |
| Lenguaje: | Inglés |
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| Acceso en línea: | http://ri.agro.uba.ar/files/intranet/articulo/2021araujo.pdf LINK AL EDITOR |
| Aporte de: | Registro referencial: Solicitar el recurso aquí |
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| 024 | |a 10.1007/s10021-020-00522-7 | ||
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| 245 | 1 | 0 | |a Drivers of N2O emissions from natural forests and grasslands differ in space and time |
| 520 | |a Understanding the drivers of greenhouse gas (GHG) emissions is one of the most critical global environmental challenges to mitigate the increasing global temperature. Nitrous oxide (N2O) emissions are highly variable in space and time and are controlled by multiple proximal drivers, that is, those that affect N2O emissions directly and in short timescales, and distal or indirect drivers that influence emissions over long timescales. Here we present a quantification of N2O emissions in grasslands and forests throughout the Pampas and the Semiarid Chaco in Argentina and reveal distal and proximal drivers, analyzing them in both spatial and temporal models. We measured N2O emissions, soil and climate variables monthly in nine sites over two years. Mean annual temperature and the following soil properties: phosphorous availability, carbon:nitrogen ratio, clay and sand percentages were the main distal drivers controlling N2O emissions in the spatial model, while among proximal drivers, only soil nitrate contents were positively related to N2O emissions. When considering the seasonal variability of N2O emissions (temporal model), we found that emissions were positively related to proximal drivers, such as soil nitrate and soil temperature. Our results show that soil N2O emission drivers differ between spatial and temporal models in natural grasslands and forests, explaining up to 85 and 56% of variations in N2O emissions, respectively. Temperature increased N2O emissions in both spatial and temporal models; therefore, future global warming may increase background emissions from natural ecosystems with important positive feedbacks on the earth system warming. | ||
| 650 | |2 Agrovoc |9 26 | ||
| 653 | |a GREENHOUSE GASES | ||
| 653 | |a CLIMATE CHANGE | ||
| 653 | |a PAMPAS | ||
| 653 | |a SEMIARID CHACO | ||
| 653 | |a N CYCLE | ||
| 653 | |a PROXIMAL AND DISTAL DRIVERS | ||
| 653 | |a BACKGROUND N2O EMISSIONS | ||
| 700 | 1 | |a Araujo, Patricia Inés |u Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino (EEA Pergamino). Pergamino, Buenos Aires, Argentina. |u CONICET - Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino (EEA Pergamino). Pergamino, Buenos Aires, Argentina. |9 34499 | |
| 700 | 1 | |a Piñeiro Guerra, Juan Manuel |u Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura (IFEVA). Buenos Aires, Argentina. |u CONICET – Universidad de Buenos Aires. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura (IFEVA). Buenos Aires, Argentina. |9 37040 | |
| 700 | 1 | |a Yahdjian, María Laura |u Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura (IFEVA). Buenos Aires, Argentina. |u CONICET – Universidad de Buenos Aires. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura (IFEVA). Buenos Aires, Argentina. |u Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Recursos Naturales y Ambiente. Cátedra de Ecología Buenos Aires, Argentina. |9 16176 | |
| 700 | 1 | |a Acreche, Martín |u Instituto Nacional de Tecnología Agropecuaria (INTA). Experimental Agropecuaria Salta (EEA Cerrillos). Cerrillos, Salta, Argentina. |9 44996 | |
| 700 | 1 | |a Alvarez, C. |u Instituto Nacional de Tecnología Agropecuaria (INTA). Experimental Agropecuaria Manfredi (EEA Manfredi). Manfredi, Córdoba, Argentina. |9 73085 | |
| 700 | 1 | |9 7471 |a Alvarez, Carina Rosa |u Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Ingeniería Agrícola y Uso de la Tierra. Cátedra de Fertilidad y Fertilizantes. Buenos Aires, Argentina. | |
| 700 | 1 | |9 33007 |a Della Chiesa, Tomás |u Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura (IFEVA). Buenos Aires, Argentina. |u CONICET – Universidad de Buenos Aires. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura (IFEVA). Buenos Aires, Argentina. |u Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Recursos Naturales y Ambiente. Cátedra de Climatología y Fenología Agrícolas. Buenos Aires, Argentina | |
| 700 | 1 | |9 22554 |a Piñeiro, Gervasio |u Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura (IFEVA). Buenos Aires, Argentina. |u CONICET – Universidad de Buenos Aires. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura (IFEVA). Buenos Aires, Argentina. |u Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Recursos Naturales y Ambiente. Cátedra de Ecología Buenos Aires, Argentina. | |
| 773 | 0 | |t Ecosystems |w (AR-BaUFA)SECS000773 |g Vol.24, no.2 (2021), p.335-350, tbls., grafs., mapas | |
| 856 | |i En reservorio |q application/pdf |x ARTI202111 |f 2021araujo |u http://ri.agro.uba.ar/files/intranet/articulo/2021araujo.pdf | ||
| 856 | |u https://link.springer.com |z LINK AL EDITOR | ||
| 942 | |c ARTICULO | ||
| 942 | |c ENLINEA | ||
| 976 | |a AAG | ||