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\"Marc\", \"identifier\": \"\", \"name\": \"Baume\"}, 
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{\"affiliation\": \"WSL\", \"affiliation_02\": \"\", 
            
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\"validation\"], \"email\": \"fulvio.giudici@wsl.ch\", \"given_name\": 
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\"validation\"], \"email\": \"fulvio.giudici@wsl.ch\", \"given_name\": 
            
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\"Fulvio\", \"identifier\": \"\", \"name\": \"Giudici\"}, 
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\"Fulvio\", \"identifier\": \"\", \"name\": \"Giudici\"}, 
            
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{\"affiliation\": \"WSL\", \"affiliation_02\": \"\", 
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{\"affiliation\": \"WSL\", \"affiliation_02\": \"\", 
            
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\"affiliation_03\": \"\", \"data_credit\": [\"collection\", 
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\"validation\"], \"email\": \"jerome.schneuwly@wsl.ch\", 
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\"validation\"], \"email\": \"jerome.schneuwly@wsl.ch\", 
            
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\"given_name\": \"Jerome\", \"identifier\": \"\", \"name\": 
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\"given_name\": \"Jerome\", \"identifier\": \"\", \"name\": 
            
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\"Schneuwly\"}]",
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  "date": "[{\"date\": \"2016-05-01\", \"date_type\": \"collected\", 
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  "date": "[{\"date\": \"2016-05-01\", \"date_type\": \"collected\", 
            
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\"end_date\": \"2016-09-30\"}]",
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  "doi": "10.16904/envidat.52",
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  "funding": "[{\"grant_number\": \"\", \"institution\": \"Federal 
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Office for the Environment (FOEN)\", \"institution_url\": \"\"}]",
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Office for the Environment (FOEN)\", \"institution_url\": \"\"}]",
            
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  "license_id": "wsl-data",
            
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  "license_title": "WSL Data Policy",
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  "license_title": "WSL Data Policy",
            
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  "license_url": 
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  "license_url": 
            
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ps://www.wsl.ch/en/about-wsl/programmes-and-initiatives/envidat.html",
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ps://www.wsl.ch/en/about-wsl/programmes-and-initiatives/envidat.html",
            
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  "maintainer": "{\"affiliation\": \"WSL\", \"email\": 
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  "maintainer": "{\"affiliation\": \"WSL\", \"email\": 
            
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\"markus.didion@wsl.ch\", \"given_name\": \"Markus\", \"identifier\": 
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\"markus.didion@wsl.ch\", \"given_name\": \"Markus\", \"identifier\": 
            
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\"0000-0003-0346-0646\", \"name\": \"Didion\"}",
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\"0000-0003-0346-0646\", \"name\": \"Didion\"}",
            
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  "maintainer_email": null,
            
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  "metadata_created": "2018-07-26T09:23:10.102326",
            
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  "metadata_modified": "2025-02-13T15:14:10.751344",
            
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  "name": "herb-layer-biomass-in-swiss-forests",
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  "name": "herb-layer-biomass-in-swiss-forests",
            
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  "notes": "The purpose of this project was to develop a model to 
48
  "notes": "The purpose of this project was to develop a model to 
            
49
estimate herb layer biomass and carbon stock based on the categorical 
49
estimate herb layer biomass and carbon stock based on the categorical 
            
50
cover estimate on each NFI sample plot. To this end, biomass and cover 
50
cover estimate on each NFI sample plot. To this end, biomass and cover 
            
51
of the six main plant groups in the herb layer were collected from 405 
51
of the six main plant groups in the herb layer were collected from 405 
            
52
1x1 m subplots on 135 study sites (15 sites in 9 strata) which were 
52
1x1 m subplots on 135 study sites (15 sites in 9 strata) which were 
            
53
selected based on a stratified sampling approach. To ensure 
53
selected based on a stratified sampling approach. To ensure 
            
54
consistency with NFI methodology, study sites corresponded to the 
54
consistency with NFI methodology, study sites corresponded to the 
            
55
design of regular NFI sample plots and plant cover was estimated by 
55
design of regular NFI sample plots and plant cover was estimated by 
            
56
trained field-crew members. Based on the dry weight of the plant 
56
trained field-crew members. Based on the dry weight of the plant 
            
57
biomass and the cover estimate on each subplot, a linear regression 
57
biomass and the cover estimate on each subplot, a linear regression 
            
58
model was developed and applied to estimate herb layer biomass on each 
58
model was developed and applied to estimate herb layer biomass on each 
            
59
NFI sample plot.",
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NFI sample plot.",
            
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  "num_resources": 4,
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  "num_resources": 4,
            
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  "num_tags": 7,
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  "num_tags": 7,
            
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  "organization": {
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  "organization": {
            
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    "approval_status": "approved",
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    "approval_status": "approved",
            
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    "created": "2018-02-28T00:27:25.205540",
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    "created": "2018-02-28T00:27:25.205540",
            
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    "description": "We analyze recent state as well as future 
65
    "description": "We analyze recent state as well as future 
            
66
development of forests and its services. Based on the [Swiss national 
66
development of forests and its services. Based on the [Swiss national 
            
67
forest inventory (NFI)](https://www.envidat.ch/organization/about/nfi 
67
forest inventory (NFI)](https://www.envidat.ch/organization/about/nfi 
            
68
\"NFI\") we estimate growing stock, increment, cut and mortality of 
68
\"NFI\") we estimate growing stock, increment, cut and mortality of 
            
69
wood as well as derived variables such as biomass, dead wood and 
69
wood as well as derived variables such as biomass, dead wood and 
            
70
carbon. We model scenarios of forest development under different 
70
carbon. We model scenarios of forest development under different 
            
71
management scenarios, climate change and disturbances. We thereby 
71
management scenarios, climate change and disturbances. We thereby 
            
72
focus on following research questions.\r\n\r\n *  Implementing 
72
focus on following research questions.\r\n\r\n *  Implementing 
            
73
data-based variables for forestry relevant estimates (SQL, SAS)\r\n *  
73
data-based variables for forestry relevant estimates (SQL, SAS)\r\n *  
            
74
Improving biometric functions to estimate growing stock, increment, 
74
Improving biometric functions to estimate growing stock, increment, 
            
75
cut and mortality\r\n *  Development of forest scenario models\r\n *  
75
cut and mortality\r\n *  Development of forest scenario models\r\n *  
            
76
Adaptation of empirical growth functions to climate change\r\n *   
76
Adaptation of empirical growth functions to climate change\r\n *   
            
77
Compiling and improving forest data for the Swiss Greenhouse Gas 
77
Compiling and improving forest data for the Swiss Greenhouse Gas 
            
78
Inventory and the Kyoto Tables\r\n *   Elaborating scenarios of forest 
78
Inventory and the Kyoto Tables\r\n *   Elaborating scenarios of forest 
            
79
development under climate change, forest management and 
79
development under climate change, forest management and 
            
80
disturbances\r\n *   Evaluation of forest inventories from Cantons / 
80
disturbances\r\n *   Evaluation of forest inventories from Cantons / 
            
81
Liechtenstein\r\n\r\n__Further information:__ 
81
Liechtenstein\r\n\r\n__Further information:__ 
            
82
esearch-units/forest-resources-and-management/resource-analysis.html",
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esearch-units/forest-resources-and-management/resource-analysis.html",
            
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    "id": "2f7464c3-35b7-4076-9e19-4a5a08065e38",
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    "is_organization": true,
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    "is_organization": true,
            
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    "name": "resource-analysis",
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    "name": "resource-analysis",
            
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    "state": "active",
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    "state": "active",
            
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    "title": "Resource Analysis",
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    "title": "Resource Analysis",
            
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    "type": "organization"
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    "type": "organization"
            
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  },
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  "publication": "{\"publication_year\": \"2018\", \"publisher\": 
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  "publication": "{\"publication_year\":\"2018\", \"publisher\": 
            
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\"Swiss Federal Research Institute WSL\"}",
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\"EnviDat\"}",
            
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  "publication_state": "published",
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  "publication_state": "published",
            
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  "related_datasets": "",
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  "related_datasets": "",
            
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  "related_publications": "Didion M (2020) Extending harmonized 
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  "related_publications": "Didion M (2020) Extending harmonized 
            
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national forest inventory herb layer vegetation cover observations to 
98
national forest inventory herb layer vegetation cover observations to 
            
99
derive comprehensive biomass estimates. For Ecosyst 7:16. 
99
derive comprehensive biomass estimates. For Ecosyst 7:16. 
            
100
doi:10.1186/s40663-020-00230-7",
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doi:10.1186/s40663-020-00230-7",
            
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      "description": "Final Report of the project submitted to the 
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      "description": "Final Report of the project submitted to the 
            
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Swiss Federal Office for the Environment.",
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Swiss Federal Office for the Environment.",
            
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