A boreal forest model benchmarking dataset for North America: a case study with the Canadian Land Surface Scheme Including Biogeochemical Cycles (CLASSIC)
Climate change is rapidly altering composition, structure, and functioning of the boreal biome, across North America often broadly categorized into ecoregions. The resulting complex changes in different ecoregions present a challenge for efforts to accurately simulate carbon dioxide (CO _2 ) and ene...
| Main Authors: | , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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IOP Publishing
2023-01-01
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| Series: | Environmental Research Letters |
| Subjects: | |
| Online Access: | https://doi.org/10.1088/1748-9326/ace376 |
| _version_ | 1797747238764544000 |
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| author | Bo Qu Alexandre Roy Joe R Melton T Andrew Black Brian Amiro Eugénie S Euskirchen Masahito Ueyama Hideki Kobayashi Christopher Schulze Gabriel Hould Gosselin Alex J Cannon Matteo Detto Oliver Sonnentag |
| author_facet | Bo Qu Alexandre Roy Joe R Melton T Andrew Black Brian Amiro Eugénie S Euskirchen Masahito Ueyama Hideki Kobayashi Christopher Schulze Gabriel Hould Gosselin Alex J Cannon Matteo Detto Oliver Sonnentag |
| author_sort | Bo Qu |
| collection | DOAJ |
| description | Climate change is rapidly altering composition, structure, and functioning of the boreal biome, across North America often broadly categorized into ecoregions. The resulting complex changes in different ecoregions present a challenge for efforts to accurately simulate carbon dioxide (CO _2 ) and energy exchanges between boreal forests and the atmosphere with terrestrial ecosystem models (TEMs). Eddy covariance measurements provide valuable information for evaluating the performance of TEMs and guiding their development. Here, we compiled a boreal forest model benchmarking dataset for North America by harmonizing eddy covariance and supporting measurements from eight black spruce ( Picea mariana )-dominated, mature forest stands. The eight forest stands, located in six boreal ecoregions of North America, differ in stand characteristics, disturbance history, climate, permafrost conditions and soil properties. By compiling various data streams, the benchmarking dataset comprises data to parameterize, force, and evaluate TEMs. Specifically, it includes half-hourly, gap-filled meteorological forcing data, ancillary data essential for model parameterization, and half-hourly, gap-filled or partitioned component flux data on CO _2 (net ecosystem production, gross primary production [GPP], and ecosystem respiration [ER]) and energy (latent [LE] and sensible heat [H]) and their daily aggregates screened based on half-hourly gap-filling quality criteria. We present a case study with the Canadian Land Surface Scheme Including Biogeochemical Cycles (CLASSIC) to: (1) demonstrate the utility of our dataset to benchmark TEMs and (2) provide guidance for model development and refinement. Model skill was evaluated using several statistical metrics and further examined through the flux responses to their environmental controls. Our results suggest that CLASSIC tended to overestimate GPP and ER among all stands. Model performance regarding the energy fluxes (i.e., LE and H) varied greatly among the stands and exhibited a moderate correlation with latitude. We identified strong relationships between simulated fluxes and their environmental controls except for H, thus highlighting current strengths and limitations of CLASSIC. |
| first_indexed | 2024-03-12T15:48:55Z |
| format | Article |
| id | doaj.art-6f0c5919a7564810badc2d3d6d9540d2 |
| institution | Directory Open Access Journal |
| issn | 1748-9326 |
| language | English |
| last_indexed | 2024-03-12T15:48:55Z |
| publishDate | 2023-01-01 |
| publisher | IOP Publishing |
| record_format | Article |
| series | Environmental Research Letters |
| spelling | doaj.art-6f0c5919a7564810badc2d3d6d9540d22023-08-09T15:19:33ZengIOP PublishingEnvironmental Research Letters1748-93262023-01-0118808500210.1088/1748-9326/ace376A boreal forest model benchmarking dataset for North America: a case study with the Canadian Land Surface Scheme Including Biogeochemical Cycles (CLASSIC)Bo Qu0https://orcid.org/0000-0002-0973-7274Alexandre Roy1Joe R Melton2https://orcid.org/0000-0002-9414-064XT Andrew Black3Brian Amiro4Eugénie S Euskirchen5Masahito Ueyama6https://orcid.org/0000-0002-4000-4888Hideki Kobayashi7Christopher Schulze8https://orcid.org/0000-0002-6579-0360Gabriel Hould Gosselin9Alex J Cannon10https://orcid.org/0000-0002-8025-3790Matteo Detto11https://orcid.org/0000-0003-0494-188XOliver Sonnentag12Département de Géographie, Université de Montréal , Montréal, Canada; Centre d’Études Nordiques, Université Laval , Québec, CanadaCentre d’Études Nordiques, Université Laval , Québec, Canada; Centre de Recherche Sur les Interactions Bassins Versants-écosystèmes Aquatiques (RIVE), Université du Québec à Trois-Rivières , Trois-Rivières, CanadaClimate Research Division, Environment and Climate Change Canada , Victoria, CanadaBiometeorology and Soil Physics Group, University of British Columbia , Vancouver, CanadaDepartment of Soil Science, University of Manitoba , Winnipeg, CanadaInstitute of Arctic Biology, University of Alaska Fairbanks , Fairbanks, AK, United States of AmericaGraduate School of Agriculture, Osaka Metropolitan University , Osaka 599-8531, JapanResearch Institute for Global Change, Japan Agency for Marine-Earth Science and Technology , Yokohama, JapanDépartement de Géographie, Université de Montréal , Montréal, Canada; Department of Renewable Resources, University of Alberta , Edmonton, CanadaDépartement de Géographie, Université de Montréal , Montréal, Canada; Department of Geography, Wilfrid Laurier University , Waterloo, CanadaClimate Research Division, Environment and Climate Change Canada , Victoria, CanadaDepartment of Ecology and Evolutionary Biology, Princeton University , Princeton, NJ, United States of AmericaDépartement de Géographie, Université de Montréal , Montréal, Canada; Centre d’Études Nordiques, Université Laval , Québec, CanadaClimate change is rapidly altering composition, structure, and functioning of the boreal biome, across North America often broadly categorized into ecoregions. The resulting complex changes in different ecoregions present a challenge for efforts to accurately simulate carbon dioxide (CO _2 ) and energy exchanges between boreal forests and the atmosphere with terrestrial ecosystem models (TEMs). Eddy covariance measurements provide valuable information for evaluating the performance of TEMs and guiding their development. Here, we compiled a boreal forest model benchmarking dataset for North America by harmonizing eddy covariance and supporting measurements from eight black spruce ( Picea mariana )-dominated, mature forest stands. The eight forest stands, located in six boreal ecoregions of North America, differ in stand characteristics, disturbance history, climate, permafrost conditions and soil properties. By compiling various data streams, the benchmarking dataset comprises data to parameterize, force, and evaluate TEMs. Specifically, it includes half-hourly, gap-filled meteorological forcing data, ancillary data essential for model parameterization, and half-hourly, gap-filled or partitioned component flux data on CO _2 (net ecosystem production, gross primary production [GPP], and ecosystem respiration [ER]) and energy (latent [LE] and sensible heat [H]) and their daily aggregates screened based on half-hourly gap-filling quality criteria. We present a case study with the Canadian Land Surface Scheme Including Biogeochemical Cycles (CLASSIC) to: (1) demonstrate the utility of our dataset to benchmark TEMs and (2) provide guidance for model development and refinement. Model skill was evaluated using several statistical metrics and further examined through the flux responses to their environmental controls. Our results suggest that CLASSIC tended to overestimate GPP and ER among all stands. Model performance regarding the energy fluxes (i.e., LE and H) varied greatly among the stands and exhibited a moderate correlation with latitude. We identified strong relationships between simulated fluxes and their environmental controls except for H, thus highlighting current strengths and limitations of CLASSIC.https://doi.org/10.1088/1748-9326/ace376benchmarking datasetboreal forestterrestrial ecosystem modeleddy covarianceCLASSIC |
| spellingShingle | Bo Qu Alexandre Roy Joe R Melton T Andrew Black Brian Amiro Eugénie S Euskirchen Masahito Ueyama Hideki Kobayashi Christopher Schulze Gabriel Hould Gosselin Alex J Cannon Matteo Detto Oliver Sonnentag A boreal forest model benchmarking dataset for North America: a case study with the Canadian Land Surface Scheme Including Biogeochemical Cycles (CLASSIC) Environmental Research Letters benchmarking dataset boreal forest terrestrial ecosystem model eddy covariance CLASSIC |
| title | A boreal forest model benchmarking dataset for North America: a case study with the Canadian Land Surface Scheme Including Biogeochemical Cycles (CLASSIC) |
| title_full | A boreal forest model benchmarking dataset for North America: a case study with the Canadian Land Surface Scheme Including Biogeochemical Cycles (CLASSIC) |
| title_fullStr | A boreal forest model benchmarking dataset for North America: a case study with the Canadian Land Surface Scheme Including Biogeochemical Cycles (CLASSIC) |
| title_full_unstemmed | A boreal forest model benchmarking dataset for North America: a case study with the Canadian Land Surface Scheme Including Biogeochemical Cycles (CLASSIC) |
| title_short | A boreal forest model benchmarking dataset for North America: a case study with the Canadian Land Surface Scheme Including Biogeochemical Cycles (CLASSIC) |
| title_sort | boreal forest model benchmarking dataset for north america a case study with the canadian land surface scheme including biogeochemical cycles classic |
| topic | benchmarking dataset boreal forest terrestrial ecosystem model eddy covariance CLASSIC |
| url | https://doi.org/10.1088/1748-9326/ace376 |
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