Multi-scale assessment of a grassland productivity model
<p>Grasslands provide many important ecosystem services globally, and projecting grassland productivity in the coming decades will provide valuable information to land managers. Productivity models can be well calibrated at local scales but generally have some maximum spatial scale in which t...
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Copernicus Publications
2021-04-01
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Series: | Biogeosciences |
Online Access: | https://bg.copernicus.org/articles/18/2213/2021/bg-18-2213-2021.pdf |
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doaj-8a2ee2e82cad46469eb7b19dea956e5f2021-04-01T07:06:19ZengCopernicus PublicationsBiogeosciences1726-41701726-41892021-04-01182213222010.5194/bg-18-2213-2021Multi-scale assessment of a grassland productivity modelS. D. TaylorD. M. Browning<p>Grasslands provide many important ecosystem services globally, and projecting grassland productivity in the coming decades will provide valuable information to land managers. Productivity models can be well calibrated at local scales but generally have some maximum spatial scale in which they perform well. Here we evaluate a grassland productivity model to find the optimal spatial scale for parameterization and thus for subsequently applying it in future productivity projections for North America. We also evaluated the model on new vegetation types to ascertain its potential generality. We find the model most suitable when incorporating only grasslands, as opposed to also including agriculture and shrublands, and only in the Great Plains and eastern temperate forest ecoregions of North America. The model was not well suited to grasslands in North American deserts or northwest forest ecoregions. It also performed poorly in agriculture vegetation, likely due to management activities, and shrubland vegetation, likely because the model lacks representation of deep water pools. This work allows us to perform long-term projections in areas where model performance has been verified, with gaps filled in by future modeling efforts.</p>https://bg.copernicus.org/articles/18/2213/2021/bg-18-2213-2021.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
S. D. Taylor D. M. Browning |
spellingShingle |
S. D. Taylor D. M. Browning Multi-scale assessment of a grassland productivity model Biogeosciences |
author_facet |
S. D. Taylor D. M. Browning |
author_sort |
S. D. Taylor |
title |
Multi-scale assessment of a grassland productivity model |
title_short |
Multi-scale assessment of a grassland productivity model |
title_full |
Multi-scale assessment of a grassland productivity model |
title_fullStr |
Multi-scale assessment of a grassland productivity model |
title_full_unstemmed |
Multi-scale assessment of a grassland productivity model |
title_sort |
multi-scale assessment of a grassland productivity model |
publisher |
Copernicus Publications |
series |
Biogeosciences |
issn |
1726-4170 1726-4189 |
publishDate |
2021-04-01 |
description |
<p>Grasslands provide many important ecosystem services globally, and projecting grassland productivity in the coming decades will provide valuable information to land managers. Productivity models can be well calibrated at local scales but generally have some maximum spatial scale in which they perform well. Here we evaluate a grassland productivity model to find the optimal spatial scale for parameterization and thus for subsequently applying it in future productivity projections for North America. We also evaluated the model on new vegetation types to ascertain its potential generality. We find the model most suitable when incorporating only grasslands, as opposed to also including agriculture and shrublands, and only in the Great Plains and eastern temperate forest ecoregions of North America. The model was not well suited to grasslands in North American deserts or northwest forest ecoregions. It also performed poorly in agriculture vegetation, likely due to management activities, and shrubland vegetation, likely because the model lacks representation of deep water pools. This work allows us to perform long-term projections in areas where model performance has been verified, with gaps filled in by future modeling efforts.</p> |
url |
https://bg.copernicus.org/articles/18/2213/2021/bg-18-2213-2021.pdf |
work_keys_str_mv |
AT sdtaylor multiscaleassessmentofagrasslandproductivitymodel AT dmbrowning multiscaleassessmentofagrasslandproductivitymodel |
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1724176761672957952 |