The influence of climate, soils, weather, and land use on primary production and biomass seasonality in the US Great Plains

Identifying the conditions and mechanisms that control ecosystem processes, such as net primary production, is a central goal of ecosystem ecology. Ideas have ranged from single limiting-resource theories to colimitation by nutrients and climate, to simulation models with edaphic, climatic, and comp...

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Publicado: 2006
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Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_14329840_v9_n6_p934_Bradford
http://hdl.handle.net/20.500.12110/paper_14329840_v9_n6_p934_Bradford
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spelling paper:paper_14329840_v9_n6_p934_Bradford2023-06-08T16:14:18Z The influence of climate, soils, weather, and land use on primary production and biomass seasonality in the US Great Plains Agriculture Carbon Climate Cropping Grassland Land use Primary production Seasonality Soil US Great Plains Weather annual variation biomass allocation climate conditions cropping practice land use net primary production sensitivity analysis soil soil depth soil texture weather Great Plains North America Identifying the conditions and mechanisms that control ecosystem processes, such as net primary production, is a central goal of ecosystem ecology. Ideas have ranged from single limiting-resource theories to colimitation by nutrients and climate, to simulation models with edaphic, climatic, and competitive controls. Although some investigators have begun to consider the influence of land-use practices, especially cropping, few studies have quantified the impact of cropping at large scales relative to other known controls over ecosystem processes. We used a 9-year record of productivity, biomass seasonality, climate, weather, soil conditions, and cropping in the US Great Plains to quantify the controls over spatial and temporal patterns of net primary production and to estimate sensitivity to specific driving variables. We considered climate, soil conditions, and long-term average cropping as controls over spatial patterns, while weather and interannual cropping variations were used as controls over temporal variability. We found that variation in primary production is primarily spatial, whereas variation in seasonality is more evenly split between spatial and temporal components. Our statistical (multiple linear regression) models explained more of the variation in the amount of primary production than in its seasonality, and more of the spatial than the temporal patterns. Our results indicate that although climate is the most important variable for explaining spatial patterns, cropping explains a substantial amount of the residual variability. Soil texture and depth contributed very little to our models of spatial variability. Weather and cropping deviation both made modest contributions to the models of temporal variability. These results suggest that the controls over seasonality and temporal variation are not well understood. Our sensitivity analysis indicates that production is more sensitive to climate than to weather and that it is very sensitive to cropping intensity. In addition to identifying potential gaps in out knowledge, these results provide insight into the probable long- and short-term ecosystem response to changes in climate, weather, and cropping. © 2006 Springer Science+Business Media, Inc. 2006 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_14329840_v9_n6_p934_Bradford http://hdl.handle.net/20.500.12110/paper_14329840_v9_n6_p934_Bradford
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Agriculture
Carbon
Climate
Cropping
Grassland
Land use
Primary production
Seasonality
Soil
US Great Plains
Weather
annual variation
biomass allocation
climate conditions
cropping practice
land use
net primary production
sensitivity analysis
soil
soil depth
soil texture
weather
Great Plains
North America
spellingShingle Agriculture
Carbon
Climate
Cropping
Grassland
Land use
Primary production
Seasonality
Soil
US Great Plains
Weather
annual variation
biomass allocation
climate conditions
cropping practice
land use
net primary production
sensitivity analysis
soil
soil depth
soil texture
weather
Great Plains
North America
The influence of climate, soils, weather, and land use on primary production and biomass seasonality in the US Great Plains
topic_facet Agriculture
Carbon
Climate
Cropping
Grassland
Land use
Primary production
Seasonality
Soil
US Great Plains
Weather
annual variation
biomass allocation
climate conditions
cropping practice
land use
net primary production
sensitivity analysis
soil
soil depth
soil texture
weather
Great Plains
North America
description Identifying the conditions and mechanisms that control ecosystem processes, such as net primary production, is a central goal of ecosystem ecology. Ideas have ranged from single limiting-resource theories to colimitation by nutrients and climate, to simulation models with edaphic, climatic, and competitive controls. Although some investigators have begun to consider the influence of land-use practices, especially cropping, few studies have quantified the impact of cropping at large scales relative to other known controls over ecosystem processes. We used a 9-year record of productivity, biomass seasonality, climate, weather, soil conditions, and cropping in the US Great Plains to quantify the controls over spatial and temporal patterns of net primary production and to estimate sensitivity to specific driving variables. We considered climate, soil conditions, and long-term average cropping as controls over spatial patterns, while weather and interannual cropping variations were used as controls over temporal variability. We found that variation in primary production is primarily spatial, whereas variation in seasonality is more evenly split between spatial and temporal components. Our statistical (multiple linear regression) models explained more of the variation in the amount of primary production than in its seasonality, and more of the spatial than the temporal patterns. Our results indicate that although climate is the most important variable for explaining spatial patterns, cropping explains a substantial amount of the residual variability. Soil texture and depth contributed very little to our models of spatial variability. Weather and cropping deviation both made modest contributions to the models of temporal variability. These results suggest that the controls over seasonality and temporal variation are not well understood. Our sensitivity analysis indicates that production is more sensitive to climate than to weather and that it is very sensitive to cropping intensity. In addition to identifying potential gaps in out knowledge, these results provide insight into the probable long- and short-term ecosystem response to changes in climate, weather, and cropping. © 2006 Springer Science+Business Media, Inc.
title The influence of climate, soils, weather, and land use on primary production and biomass seasonality in the US Great Plains
title_short The influence of climate, soils, weather, and land use on primary production and biomass seasonality in the US Great Plains
title_full The influence of climate, soils, weather, and land use on primary production and biomass seasonality in the US Great Plains
title_fullStr The influence of climate, soils, weather, and land use on primary production and biomass seasonality in the US Great Plains
title_full_unstemmed The influence of climate, soils, weather, and land use on primary production and biomass seasonality in the US Great Plains
title_sort influence of climate, soils, weather, and land use on primary production and biomass seasonality in the us great plains
publishDate 2006
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_14329840_v9_n6_p934_Bradford
http://hdl.handle.net/20.500.12110/paper_14329840_v9_n6_p934_Bradford
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