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f | 1 | { | f | 1 | { |
2 | "author": "[{\"name\": \"H\\u00fclsmann\", \"affiliation\": \"WSL\", | 2 | "author": "[{\"name\": \"H\\u00fclsmann\", \"affiliation\": \"WSL\", | ||
3 | \"affiliation_03\": \"\", \"given_name\": \"Lisa\", \"identifier\": | 3 | \"affiliation_03\": \"\", \"given_name\": \"Lisa\", \"identifier\": | ||
4 | \"0000-0003-4252-2715\", \"email\": \"lisa.huelsmann@ur.de\", | 4 | \"0000-0003-4252-2715\", \"email\": \"lisa.huelsmann@ur.de\", | ||
5 | \"affiliation_02\": \"\"}, {\"name\": \"Bugmann\", \"affiliation\": | 5 | \"affiliation_02\": \"\"}, {\"name\": \"Bugmann\", \"affiliation\": | ||
6 | \"ETHZ\", \"affiliation_03\": \"\", \"affiliation_02\": \"\", | 6 | \"ETHZ\", \"affiliation_03\": \"\", \"affiliation_02\": \"\", | ||
7 | \"identifier\": \"\", \"email\": \"harald.bugmann@env.ethz.ch\", | 7 | \"identifier\": \"\", \"email\": \"harald.bugmann@env.ethz.ch\", | ||
8 | \"given_name\": \"Harald\"}, {\"name\": \"Commarmot\", | 8 | \"given_name\": \"Harald\"}, {\"name\": \"Commarmot\", | ||
9 | \"affiliation\": \"WSL\", \"affiliation_03\": \"\", \"given_name\": | 9 | \"affiliation\": \"WSL\", \"affiliation_03\": \"\", \"given_name\": | ||
10 | \"Brigitte\", \"identifier\": \"\", \"email\": | 10 | \"Brigitte\", \"identifier\": \"\", \"email\": | ||
11 | \"brigitte.commarmot@wsl.ch\", \"affiliation_02\": \"\"}, {\"name\": | 11 | \"brigitte.commarmot@wsl.ch\", \"affiliation_02\": \"\"}, {\"name\": | ||
12 | \"Meyer\", \"affiliation\": \"NW-FVA\", \"affiliation_03\": \"\", | 12 | \"Meyer\", \"affiliation\": \"NW-FVA\", \"affiliation_03\": \"\", | ||
13 | \"given_name\": \"Peter\", \"identifier\": \"\", \"email\": | 13 | \"given_name\": \"Peter\", \"identifier\": \"\", \"email\": | ||
14 | \"peter.meyer@nw-fva.de\", \"affiliation_02\": \"\"}, {\"name\": | 14 | \"peter.meyer@nw-fva.de\", \"affiliation_02\": \"\"}, {\"name\": | ||
15 | \"Zimmermann\", \"affiliation\": \"WSL\", \"affiliation_03\": \"\", | 15 | \"Zimmermann\", \"affiliation\": \"WSL\", \"affiliation_03\": \"\", | ||
16 | \"affiliation_02\": \"\", \"identifier\": \"\", \"email\": | 16 | \"affiliation_02\": \"\", \"identifier\": \"\", \"email\": | ||
17 | \"stephan.zimmermann@wsl.ch\", \"given_name\": \"Stephan\"}, | 17 | \"stephan.zimmermann@wsl.ch\", \"given_name\": \"Stephan\"}, | ||
18 | {\"name\": \"Brang\", \"affiliation\": \"WSL\", \"affiliation_03\": | 18 | {\"name\": \"Brang\", \"affiliation\": \"WSL\", \"affiliation_03\": | ||
19 | \"\", \"affiliation_02\": \"\", \"identifier\": \"\", \"email\": | 19 | \"\", \"affiliation_02\": \"\", \"identifier\": \"\", \"email\": | ||
20 | \"peter.brang@wsl.ch\", \"given_name\": \"Peter\"}]", | 20 | \"peter.brang@wsl.ch\", \"given_name\": \"Peter\"}]", | ||
21 | "author_email": null, | 21 | "author_email": null, | ||
22 | "creator_user_id": "89c3d23b-712b-465e-984e-ab996e347a00", | 22 | "creator_user_id": "89c3d23b-712b-465e-984e-ab996e347a00", | ||
23 | "date": "[{\"date\": \"2017-11-15\", \"date_type\": \"created\", | 23 | "date": "[{\"date\": \"2017-11-15\", \"date_type\": \"created\", | ||
24 | \"end_date\": \"\"}]", | 24 | \"end_date\": \"\"}]", | ||
25 | "doi": "10.5061/dryad.h4s6t", | 25 | "doi": "10.5061/dryad.h4s6t", | ||
26 | "extras": [ | 26 | "extras": [ | ||
27 | { | 27 | { | ||
28 | "key": "dora_link", | 28 | "key": "dora_link", | ||
29 | "value": "" | 29 | "value": "" | ||
30 | } | 30 | } | ||
31 | ], | 31 | ], | ||
32 | "funding": "[{\"grant_number\": \"\", \"institution\": \"Funding | 32 | "funding": "[{\"grant_number\": \"\", \"institution\": \"Funding | ||
33 | information not available.\", \"institution_url\": \"\"}]", | 33 | information not available.\", \"institution_url\": \"\"}]", | ||
34 | "groups": [], | 34 | "groups": [], | ||
35 | "id": "d2b9e7f9-c617-4e4d-9f04-c993e1e27ff7", | 35 | "id": "d2b9e7f9-c617-4e4d-9f04-c993e1e27ff7", | ||
36 | "isopen": true, | 36 | "isopen": true, | ||
37 | "language": "en", | 37 | "language": "en", | ||
38 | "license_id": "odc-odbl", | 38 | "license_id": "odc-odbl", | ||
39 | "license_title": "ODbL with Database Contents License (DbCL)", | 39 | "license_title": "ODbL with Database Contents License (DbCL)", | ||
40 | "license_url": "https://opendefinition.org/licenses/odc-odbl", | 40 | "license_url": "https://opendefinition.org/licenses/odc-odbl", | ||
41 | "maintainer": "{\"affiliation\": \"University of Regensburg\", | 41 | "maintainer": "{\"affiliation\": \"University of Regensburg\", | ||
42 | \"identifier\": \"0000-0003-4252-2715\", \"given_name\": \"Lisa\", | 42 | \"identifier\": \"0000-0003-4252-2715\", \"given_name\": \"Lisa\", | ||
43 | \"name\": \"H\u00fclsmann\", \"email\": \"lisa.huelsmann@ur.de\"}", | 43 | \"name\": \"H\u00fclsmann\", \"email\": \"lisa.huelsmann@ur.de\"}", | ||
44 | "maintainer_email": null, | 44 | "maintainer_email": null, | ||
45 | "metadata_created": "2017-11-08T13:56:05.955635", | 45 | "metadata_created": "2017-11-08T13:56:05.955635", | ||
n | 46 | "metadata_modified": "2023-11-17T09:27:55.500779", | n | 46 | "metadata_modified": "2023-11-17T09:28:52.216961", |
47 | "name": "data-for-huelsmann_et_al_ecol_appl_2016", | 47 | "name": "data-for-huelsmann_et_al_ecol_appl_2016", | ||
48 | "notes": "The datasets comprise nearly 19\u2019000 trees of European | 48 | "notes": "The datasets comprise nearly 19\u2019000 trees of European | ||
49 | beech (_Fagus sylvatica_ L.) from unmanaged forests in Switzerland, | 49 | beech (_Fagus sylvatica_ L.) from unmanaged forests in Switzerland, | ||
50 | Germany / Lower Saxony and Ukraine. Tree death was modelled as a | 50 | Germany / Lower Saxony and Ukraine. Tree death was modelled as a | ||
51 | function of size and growth, i.e., stem diameter (DBH) and relative | 51 | function of size and growth, i.e., stem diameter (DBH) and relative | ||
52 | basal area increment (relBAI). To explain the spatial and temporal | 52 | basal area increment (relBAI). To explain the spatial and temporal | ||
53 | variability in mortality patterns, we considered a large set of | 53 | variability in mortality patterns, we considered a large set of | ||
54 | environmental and stand characteristics.\r\n\r\n## Inventory | 54 | environmental and stand characteristics.\r\n\r\n## Inventory | ||
55 | data\r\nThe strict forest reserves in Switzerland and Germany had been | 55 | data\r\nThe strict forest reserves in Switzerland and Germany had been | ||
56 | established in the period of 1961-1975 and 1971-1974, respectively. | 56 | established in the period of 1961-1975 and 1971-1974, respectively. | ||
57 | Every reserve included up to 10 permanent plots ranging from 0.09 to | 57 | Every reserve included up to 10 permanent plots ranging from 0.09 to | ||
58 | 1.8 ha in size, with slightly irregular re-measurement intervals. | 58 | 1.8 ha in size, with slightly irregular re-measurement intervals. | ||
59 | Permanent plots with pure or mixed beech stands were selected from the | 59 | Permanent plots with pure or mixed beech stands were selected from the | ||
60 | reserves of both networks. Reserves with considerable wind disturbance | 60 | reserves of both networks. Reserves with considerable wind disturbance | ||
61 | during the monitored intervals were excluded from the analysis. In | 61 | during the monitored intervals were excluded from the analysis. In | ||
62 | addition to data from the Swiss and German reserves, data from a 10 ha | 62 | addition to data from the Swiss and German reserves, data from a 10 ha | ||
63 | plot in the primeval beech forest Uholka in Western Ukraine including | 63 | plot in the primeval beech forest Uholka in Western Ukraine including | ||
64 | three remeasurements were used. The inventory data provide diameter | 64 | three remeasurements were used. The inventory data provide diameter | ||
65 | measurements at breast height (dbh) for revisited trees with a | 65 | measurements at breast height (dbh) for revisited trees with a | ||
66 | diameter of more than 4, 7 and 6 cm for Switzerland, Germany and | 66 | diameter of more than 4, 7 and 6 cm for Switzerland, Germany and | ||
67 | Ukraine, respectively.\r\n\r\n## Mortality predictors\r\nA set of | 67 | Ukraine, respectively.\r\n\r\n## Mortality predictors\r\nA set of | ||
68 | three consecutive inventories was used to generate records for the | 68 | three consecutive inventories was used to generate records for the | ||
69 | calibration of mortality models based on trees that were alive in the | 69 | calibration of mortality models based on trees that were alive in the | ||
70 | first and second inventory and either dead or alive in the third | 70 | first and second inventory and either dead or alive in the third | ||
71 | inventory. As an explanatory variable, the annual relative basal area | 71 | inventory. As an explanatory variable, the annual relative basal area | ||
72 | increment (relBAI) was calculated based on the first and the second | 72 | increment (relBAI) was calculated based on the first and the second | ||
73 | dbh measurement as the compound annual growth rate of the trees basal | 73 | dbh measurement as the compound annual growth rate of the trees basal | ||
74 | area. Tree dbh in the second inventory was used in addition to relBAI | 74 | area. Tree dbh in the second inventory was used in addition to relBAI | ||
75 | to model tree status (alive or dead) of the third inventory. | 75 | to model tree status (alive or dead) of the third inventory. | ||
76 | \r\n\r\nTo increase the generality of the mortality models, we | 76 | \r\n\r\nTo increase the generality of the mortality models, we | ||
77 | selected environmental variables that are known to have a considerable | 77 | selected environmental variables that are known to have a considerable | ||
78 | influence on growth and mortality of beech. We emphasized the effects | 78 | influence on growth and mortality of beech. We emphasized the effects | ||
79 | of water availability using a large set of drought characteristics | 79 | of water availability using a large set of drought characteristics | ||
80 | that were calculated based on the local site water balance. We also | 80 | that were calculated based on the local site water balance. We also | ||
81 | related beech mortality to soil pH, temperature, precipitation and | 81 | related beech mortality to soil pH, temperature, precipitation and | ||
82 | growing degree-days. Additionally, we considered stand characteristics | 82 | growing degree-days. Additionally, we considered stand characteristics | ||
83 | that reflect the development stage, competition and structure of the | 83 | that reflect the development stage, competition and structure of the | ||
84 | forests.\r\n\r\n## Further information\r\nFor further information, | 84 | forests.\r\n\r\n## Further information\r\nFor further information, | ||
85 | refer to H\u00fclsmann _et al_. (2016) Does one model fit all? | 85 | refer to H\u00fclsmann _et al_. (2016) Does one model fit all? | ||
86 | patterns of beech mortality in natural forests of three European | 86 | patterns of beech mortality in natural forests of three European | ||
87 | regions. _Ecological Applications_.", | 87 | regions. _Ecological Applications_.", | ||
88 | "num_resources": 4, | 88 | "num_resources": 4, | ||
89 | "num_tags": 6, | 89 | "num_tags": 6, | ||
90 | "organization": { | 90 | "organization": { | ||
91 | "approval_status": "approved", | 91 | "approval_status": "approved", | ||
92 | "created": "2018-05-28T16:14:38.566274", | 92 | "created": "2018-05-28T16:14:38.566274", | ||
93 | "description": "We study stand dynamics and how they can be | 93 | "description": "We study stand dynamics and how they can be | ||
94 | influenced by man. We thereby focus on the following topics:\r\n\r\n* | 94 | influenced by man. We thereby focus on the following topics:\r\n\r\n* | ||
95 | Growth and yield research\r\n\r\n* Forest dynamics in forest | 95 | Growth and yield research\r\n\r\n* Forest dynamics in forest | ||
96 | reserves\r\n\r\n* Virgin forest research in the Ukraine\r\n\r\n* | 96 | reserves\r\n\r\n* Virgin forest research in the Ukraine\r\n\r\n* | ||
97 | Adaptation of forest trees to climate change\r\n\r\n* Close-to-nature | 97 | Adaptation of forest trees to climate change\r\n\r\n* Close-to-nature | ||
98 | silvicultural strategies\r\n\r\n* Forest succession and young forest | 98 | silvicultural strategies\r\n\r\n* Forest succession and young forest | ||
99 | tending\r\n\r\n* Forest-ungulate interactions and browsing\r\n\r\nWe | 99 | tending\r\n\r\n* Forest-ungulate interactions and browsing\r\n\r\nWe | ||
100 | maintain and manage a net of long-term permanent plots and use the | 100 | maintain and manage a net of long-term permanent plots and use the | ||
101 | data in simulation models of forest dynamics. Our research contributes | 101 | data in simulation models of forest dynamics. Our research contributes | ||
102 | to an ecologically, economically and socially sustainable forest | 102 | to an ecologically, economically and socially sustainable forest | ||
103 | management.", | 103 | management.", | ||
104 | "id": "29c6cc65-4b0e-4fe5-9d4a-f1e370191789", | 104 | "id": "29c6cc65-4b0e-4fe5-9d4a-f1e370191789", | ||
105 | "image_url": "2018-09-10-072849.510334BuWselection.jpg", | 105 | "image_url": "2018-09-10-072849.510334BuWselection.jpg", | ||
106 | "is_organization": true, | 106 | "is_organization": true, | ||
107 | "name": "stand-dynamics-and-silviculture", | 107 | "name": "stand-dynamics-and-silviculture", | ||
108 | "state": "active", | 108 | "state": "active", | ||
109 | "title": "Stand Dynamics and Silviculture", | 109 | "title": "Stand Dynamics and Silviculture", | ||
110 | "type": "organization" | 110 | "type": "organization" | ||
111 | }, | 111 | }, | ||
112 | "owner_org": "29c6cc65-4b0e-4fe5-9d4a-f1e370191789", | 112 | "owner_org": "29c6cc65-4b0e-4fe5-9d4a-f1e370191789", | ||
113 | "private": false, | 113 | "private": false, | ||
114 | "publication": "{\"publisher\": \"Dryad\", \"publication_year\": | 114 | "publication": "{\"publisher\": \"Dryad\", \"publication_year\": | ||
115 | \"2016\"}", | 115 | \"2016\"}", | ||
116 | "publication_state": "", | 116 | "publication_state": "", | ||
117 | "related_publications": "* wsl:5596", | 117 | "related_publications": "* wsl:5596", | ||
118 | "relationships_as_object": [], | 118 | "relationships_as_object": [], | ||
119 | "relationships_as_subject": [], | 119 | "relationships_as_subject": [], | ||
120 | "resource_type": "dataset", | 120 | "resource_type": "dataset", | ||
121 | "resource_type_general": "dataset", | 121 | "resource_type_general": "dataset", | ||
122 | "resources": [ | 122 | "resources": [ | ||
123 | { | 123 | { | ||
124 | "cache_last_updated": null, | 124 | "cache_last_updated": null, | ||
125 | "cache_url": null, | 125 | "cache_url": null, | ||
126 | "created": "2017-11-08T13:58:22.523495", | 126 | "created": "2017-11-08T13:58:22.523495", | ||
127 | "description": "READ ME for\r\n\r\nH\u00fclsmann L, Bugmann H, | 127 | "description": "READ ME for\r\n\r\nH\u00fclsmann L, Bugmann H, | ||
128 | Commarmot B, Meyer P, Zimmermann S, Brang P \r\nData from: Does one | 128 | Commarmot B, Meyer P, Zimmermann S, Brang P \r\nData from: Does one | ||
129 | model fit all? Patterns of beech mortality in natural forests of three | 129 | model fit all? Patterns of beech mortality in natural forests of three | ||
130 | European regions. \r\nEcological Applications | 130 | European regions. \r\nEcological Applications | ||
131 | http://dx.doi.org/10.5061/dryad.h4s6t \r\n\r\n\r\nForest inventory | 131 | http://dx.doi.org/10.5061/dryad.h4s6t \r\n\r\n\r\nForest inventory | ||
132 | data of beech for the development of individual-tree mortality models | 132 | data of beech for the development of individual-tree mortality models | ||
133 | from strict forests reserves in Switzerland, Germany and Ukraine. | 133 | from strict forests reserves in Switzerland, Germany and Ukraine. | ||
134 | \r\n\r\n\r\nThe data package provides the files\r\nCH_reduced: | 134 | \r\n\r\n\r\nThe data package provides the files\r\nCH_reduced: | ||
135 | inventory data of the reduced dataset from Switzerland that was used | 135 | inventory data of the reduced dataset from Switzerland that was used | ||
136 | to assess the influence of additional environmental and stand | 136 | to assess the influence of additional environmental and stand | ||
137 | characteristics on beech mortality\r\nCH: inventory data from strict | 137 | characteristics on beech mortality\r\nCH: inventory data from strict | ||
138 | forest reserves in Switzerland\r\nDE: inventory data from strict | 138 | forest reserves in Switzerland\r\nDE: inventory data from strict | ||
139 | forest reserves in Germany\r\nUA: inventory data from a primeval beech | 139 | forest reserves in Germany\r\nUA: inventory data from a primeval beech | ||
140 | forest in Ukraine\r\n\r\n\r\n\r\nA set of three consecutive | 140 | forest in Ukraine\r\n\r\n\r\n\r\nA set of three consecutive | ||
141 | inventories was used to generate records for the calibration of | 141 | inventories was used to generate records for the calibration of | ||
142 | mortality models based on trees that were alive in the first and | 142 | mortality models based on trees that were alive in the first and | ||
143 | second inventory and either dead or alive in the third | 143 | second inventory and either dead or alive in the third | ||
144 | inventory.\r\nDiameter at breast height: dbh (mm) \r\nAnnual relative | 144 | inventory.\r\nDiameter at breast height: dbh (mm) \r\nAnnual relative | ||
145 | basal area increment: relBAI (), calculated based on the first and the | 145 | basal area increment: relBAI (), calculated based on the first and the | ||
146 | second dbh measurement as the compound annual growth rate of the trees | 146 | second dbh measurement as the compound annual growth rate of the trees | ||
147 | basal area (Bigler and Bugmann 2004)\r\nStatus of the tree: y, 0 = | 147 | basal area (Bigler and Bugmann 2004)\r\nStatus of the tree: y, 0 = | ||
148 | alive, 1 = dead\r\nLength of the mortality period: dt | 148 | alive, 1 = dead\r\nLength of the mortality period: dt | ||
149 | (years)\r\n\r\n\r\n\r\nAdditional environmental and stand | 149 | (years)\r\n\r\n\r\n\r\nAdditional environmental and stand | ||
150 | characteristics were derived for the reduced Swiss dataset. \r\nNote | 150 | characteristics were derived for the reduced Swiss dataset. \r\nNote | ||
151 | the varying seasonal level of the covariates considering the entire | 151 | the varying seasonal level of the covariates considering the entire | ||
152 | year, the growing season from April to September (G) and the winter | 152 | year, the growing season from April to September (G) and the winter | ||
153 | month January to March (W). \r\nAll climatic covariates were | 153 | month January to March (W). \r\nAll climatic covariates were | ||
154 | calculated for both the \u2018growth\u2019 (2) and the | 154 | calculated for both the \u2018growth\u2019 (2) and the | ||
155 | \u2018mortality\u2019 period (3). The stand covariates were derived | 155 | \u2018mortality\u2019 period (3). The stand covariates were derived | ||
156 | for the second inventory of each record (2). \r\n\r\nMean diameter at | 156 | for the second inventory of each record (2). \r\n\r\nMean diameter at | ||
157 | breast height: dbh.mean.2 (mm)\r\nInterquartile range of diameter at | 157 | breast height: dbh.mean.2 (mm)\r\nInterquartile range of diameter at | ||
158 | breast height: dbh.IQR.2 (mm)\r\nMedian diameter at breast height: | 158 | breast height: dbh.IQR.2 (mm)\r\nMedian diameter at breast height: | ||
159 | dbh.median.2 (mm)\r\nBasal area per hectare: BA.2 (m2 ha-1)\r\nNumber | 159 | dbh.median.2 (mm)\r\nBasal area per hectare: BA.2 (m2 ha-1)\r\nNumber | ||
160 | of trees per hectare: N.2 (ha-1)\r\npH-value: pH ()\r\nAvailable water | 160 | of trees per hectare: N.2 (ha-1)\r\npH-value: pH ()\r\nAvailable water | ||
161 | capacity in the soil: AWC (mm)\r\nMean annual precipitation sum: P.2, | 161 | capacity in the soil: AWC (mm)\r\nMean annual precipitation sum: P.2, | ||
162 | P.3 (mm) \r\nMean precipitation sum during growing season: PG.2, PG.3 | 162 | P.3 (mm) \r\nMean precipitation sum during growing season: PG.2, PG.3 | ||
163 | (mm)\r\nMean annual air temperature: mT.2, mT.3 (\u00b0C)\r\nMean air | 163 | (mm)\r\nMean annual air temperature: mT.2, mT.3 (\u00b0C)\r\nMean air | ||
164 | temperature during growing season: mTG.2, mTG.3 (\u00b0C)\r\nMean air | 164 | temperature during growing season: mTG.2, mTG.3 (\u00b0C)\r\nMean air | ||
165 | temperature during winter months: mTW.2, mTW.3 (\u00b0C)\r\nMean | 165 | temperature during winter months: mTW.2, mTW.3 (\u00b0C)\r\nMean | ||
166 | growing degree-days: GDD.2, GDD.3 ()\r\nMean number of months during | 166 | growing degree-days: GDD.2, GDD.3 ()\r\nMean number of months during | ||
167 | growing season with water deficit: mDEFdurG.2, mDEFdurG.3 ()\r\nMean | 167 | growing season with water deficit: mDEFdurG.2, mDEFdurG.3 ()\r\nMean | ||
168 | annual maximum water deficit: mDEFmax.2, mDEFmax.3 (mm)\r\nOverall | 168 | annual maximum water deficit: mDEFmax.2, mDEFmax.3 (mm)\r\nOverall | ||
169 | maximum of the annual maximum water deficit: maxDEFmax.2, maxDEFmax.3 | 169 | maximum of the annual maximum water deficit: maxDEFmax.2, maxDEFmax.3 | ||
170 | (mm)\r\nMean of cumulative water deficit during growing season: | 170 | (mm)\r\nMean of cumulative water deficit during growing season: | ||
171 | mDEFcumG.2, mDEFcumG.3 (mm)\r\nOverall maximum of cumulative water | 171 | mDEFcumG.2, mDEFcumG.3 (mm)\r\nOverall maximum of cumulative water | ||
172 | deficitduring growing season: maxDEFcumG.2, maxDEFcumG.3 | 172 | deficitduring growing season: maxDEFcumG.2, maxDEFcumG.3 | ||
173 | (mm)\r\nPercentage of years with at least one month water deficit: | 173 | (mm)\r\nPercentage of years with at least one month water deficit: | ||
174 | percDEF.2, percDEF.3 (%)", | 174 | percDEF.2, percDEF.3 (%)", | ||
175 | "doi": "10.5061/dryad.h4s6t", | 175 | "doi": "10.5061/dryad.h4s6t", | ||
176 | "format": "CSV", | 176 | "format": "CSV", | ||
177 | "hash": "", | 177 | "hash": "", | ||
178 | "id": "377a5075-693c-444f-b027-6670c4cb0355", | 178 | "id": "377a5075-693c-444f-b027-6670c4cb0355", | ||
179 | "last_modified": null, | 179 | "last_modified": null, | ||
180 | "metadata_modified": "2023-11-17T09:23:34.159979", | 180 | "metadata_modified": "2023-11-17T09:23:34.159979", | ||
181 | "mimetype": null, | 181 | "mimetype": null, | ||
182 | "mimetype_inner": null, | 182 | "mimetype_inner": null, | ||
183 | "name": "Swiss data reduced", | 183 | "name": "Swiss data reduced", | ||
184 | "package_id": "d2b9e7f9-c617-4e4d-9f04-c993e1e27ff7", | 184 | "package_id": "d2b9e7f9-c617-4e4d-9f04-c993e1e27ff7", | ||
185 | "position": 0, | 185 | "position": 0, | ||
186 | "publication_state": "", | 186 | "publication_state": "", | ||
187 | "resource_size": "{\"size_units\": \"kb\", \"size_value\": | 187 | "resource_size": "{\"size_units\": \"kb\", \"size_value\": | ||
188 | \"\"}", | 188 | \"\"}", | ||
189 | "resource_type": null, | 189 | "resource_type": null, | ||
190 | "restricted": "{\"allowed_users\": \"\", \"level\": \"public\", | 190 | "restricted": "{\"allowed_users\": \"\", \"level\": \"public\", | ||
191 | \"shared_secret\": \"\"}", | 191 | \"shared_secret\": \"\"}", | ||
192 | "size": null, | 192 | "size": null, | ||
193 | "state": "active", | 193 | "state": "active", | ||
194 | "url": | 194 | "url": | ||
195 | "https://datadryad.org/stash/downloads/file_stream/69900", | 195 | "https://datadryad.org/stash/downloads/file_stream/69900", | ||
196 | "url_type": null | 196 | "url_type": null | ||
197 | }, | 197 | }, | ||
198 | { | 198 | { | ||
199 | "cache_last_updated": null, | 199 | "cache_last_updated": null, | ||
200 | "cache_url": null, | 200 | "cache_url": null, | ||
201 | "created": "2017-11-08T13:59:17.492163", | 201 | "created": "2017-11-08T13:59:17.492163", | ||
202 | "description": "READ ME for\r\n\r\nH\u00fclsmann L, Bugmann H, | 202 | "description": "READ ME for\r\n\r\nH\u00fclsmann L, Bugmann H, | ||
203 | Commarmot B, Meyer P, Zimmermann S, Brang P \r\nData from: Does one | 203 | Commarmot B, Meyer P, Zimmermann S, Brang P \r\nData from: Does one | ||
204 | model fit all? Patterns of beech mortality in natural forests of three | 204 | model fit all? Patterns of beech mortality in natural forests of three | ||
205 | European regions. \r\nEcological Applications | 205 | European regions. \r\nEcological Applications | ||
206 | http://dx.doi.org/10.5061/dryad.h4s6t \r\n\r\n\r\nForest inventory | 206 | http://dx.doi.org/10.5061/dryad.h4s6t \r\n\r\n\r\nForest inventory | ||
207 | data of beech for the development of individual-tree mortality models | 207 | data of beech for the development of individual-tree mortality models | ||
208 | from strict forests reserves in Switzerland, Germany and Ukraine. | 208 | from strict forests reserves in Switzerland, Germany and Ukraine. | ||
209 | \r\n\r\n\r\nThe data package provides the files\r\nCH_reduced: | 209 | \r\n\r\n\r\nThe data package provides the files\r\nCH_reduced: | ||
210 | inventory data of the reduced dataset from Switzerland that was used | 210 | inventory data of the reduced dataset from Switzerland that was used | ||
211 | to assess the influence of additional environmental and stand | 211 | to assess the influence of additional environmental and stand | ||
212 | characteristics on beech mortality\r\nCH: inventory data from strict | 212 | characteristics on beech mortality\r\nCH: inventory data from strict | ||
213 | forest reserves in Switzerland\r\nDE: inventory data from strict | 213 | forest reserves in Switzerland\r\nDE: inventory data from strict | ||
214 | forest reserves in Germany\r\nUA: inventory data from a primeval beech | 214 | forest reserves in Germany\r\nUA: inventory data from a primeval beech | ||
215 | forest in Ukraine\r\n\r\n\r\n\r\nA set of three consecutive | 215 | forest in Ukraine\r\n\r\n\r\n\r\nA set of three consecutive | ||
216 | inventories was used to generate records for the calibration of | 216 | inventories was used to generate records for the calibration of | ||
217 | mortality models based on trees that were alive in the first and | 217 | mortality models based on trees that were alive in the first and | ||
218 | second inventory and either dead or alive in the third | 218 | second inventory and either dead or alive in the third | ||
219 | inventory.\r\nDiameter at breast height: dbh (mm) \r\nAnnual relative | 219 | inventory.\r\nDiameter at breast height: dbh (mm) \r\nAnnual relative | ||
220 | basal area increment: relBAI (), calculated based on the first and the | 220 | basal area increment: relBAI (), calculated based on the first and the | ||
221 | second dbh measurement as the compound annual growth rate of the trees | 221 | second dbh measurement as the compound annual growth rate of the trees | ||
222 | basal area (Bigler and Bugmann 2004)\r\nStatus of the tree: y, 0 = | 222 | basal area (Bigler and Bugmann 2004)\r\nStatus of the tree: y, 0 = | ||
223 | alive, 1 = dead\r\nLength of the mortality period: dt | 223 | alive, 1 = dead\r\nLength of the mortality period: dt | ||
224 | (years)\r\n\r\n\r\n\r\nAdditional environmental and stand | 224 | (years)\r\n\r\n\r\n\r\nAdditional environmental and stand | ||
225 | characteristics were derived for the reduced Swiss dataset. \r\nNote | 225 | characteristics were derived for the reduced Swiss dataset. \r\nNote | ||
226 | the varying seasonal level of the covariates considering the entire | 226 | the varying seasonal level of the covariates considering the entire | ||
227 | year, the growing season from April to September (G) and the winter | 227 | year, the growing season from April to September (G) and the winter | ||
228 | month January to March (W). \r\nAll climatic covariates were | 228 | month January to March (W). \r\nAll climatic covariates were | ||
229 | calculated for both the \u2018growth\u2019 (2) and the | 229 | calculated for both the \u2018growth\u2019 (2) and the | ||
230 | \u2018mortality\u2019 period (3). The stand covariates were derived | 230 | \u2018mortality\u2019 period (3). The stand covariates were derived | ||
231 | for the second inventory of each record (2). \r\n\r\nMean diameter at | 231 | for the second inventory of each record (2). \r\n\r\nMean diameter at | ||
232 | breast height: dbh.mean.2 (mm)\r\nInterquartile range of diameter at | 232 | breast height: dbh.mean.2 (mm)\r\nInterquartile range of diameter at | ||
233 | breast height: dbh.IQR.2 (mm)\r\nMedian diameter at breast height: | 233 | breast height: dbh.IQR.2 (mm)\r\nMedian diameter at breast height: | ||
234 | dbh.median.2 (mm)\r\nBasal area per hectare: BA.2 (m2 ha-1)\r\nNumber | 234 | dbh.median.2 (mm)\r\nBasal area per hectare: BA.2 (m2 ha-1)\r\nNumber | ||
235 | of trees per hectare: N.2 (ha-1)\r\npH-value: pH ()\r\nAvailable water | 235 | of trees per hectare: N.2 (ha-1)\r\npH-value: pH ()\r\nAvailable water | ||
236 | capacity in the soil: AWC (mm)\r\nMean annual precipitation sum: P.2, | 236 | capacity in the soil: AWC (mm)\r\nMean annual precipitation sum: P.2, | ||
237 | P.3 (mm) \r\nMean precipitation sum during growing season: PG.2, PG.3 | 237 | P.3 (mm) \r\nMean precipitation sum during growing season: PG.2, PG.3 | ||
238 | (mm)\r\nMean annual air temperature: mT.2, mT.3 (\u00b0C)\r\nMean air | 238 | (mm)\r\nMean annual air temperature: mT.2, mT.3 (\u00b0C)\r\nMean air | ||
239 | temperature during growing season: mTG.2, mTG.3 (\u00b0C)\r\nMean air | 239 | temperature during growing season: mTG.2, mTG.3 (\u00b0C)\r\nMean air | ||
240 | temperature during winter months: mTW.2, mTW.3 (\u00b0C)\r\nMean | 240 | temperature during winter months: mTW.2, mTW.3 (\u00b0C)\r\nMean | ||
241 | growing degree-days: GDD.2, GDD.3 ()\r\nMean number of months during | 241 | growing degree-days: GDD.2, GDD.3 ()\r\nMean number of months during | ||
242 | growing season with water deficit: mDEFdurG.2, mDEFdurG.3 ()\r\nMean | 242 | growing season with water deficit: mDEFdurG.2, mDEFdurG.3 ()\r\nMean | ||
243 | annual maximum water deficit: mDEFmax.2, mDEFmax.3 (mm)\r\nOverall | 243 | annual maximum water deficit: mDEFmax.2, mDEFmax.3 (mm)\r\nOverall | ||
244 | maximum of the annual maximum water deficit: maxDEFmax.2, maxDEFmax.3 | 244 | maximum of the annual maximum water deficit: maxDEFmax.2, maxDEFmax.3 | ||
245 | (mm)\r\nMean of cumulative water deficit during growing season: | 245 | (mm)\r\nMean of cumulative water deficit during growing season: | ||
246 | mDEFcumG.2, mDEFcumG.3 (mm)\r\nOverall maximum of cumulative water | 246 | mDEFcumG.2, mDEFcumG.3 (mm)\r\nOverall maximum of cumulative water | ||
247 | deficitduring growing season: maxDEFcumG.2, maxDEFcumG.3 | 247 | deficitduring growing season: maxDEFcumG.2, maxDEFcumG.3 | ||
248 | (mm)\r\nPercentage of years with at least one month water deficit: | 248 | (mm)\r\nPercentage of years with at least one month water deficit: | ||
249 | percDEF.2, percDEF.3 (%)", | 249 | percDEF.2, percDEF.3 (%)", | ||
250 | "doi": "10.5061/dryad.h4s6t", | 250 | "doi": "10.5061/dryad.h4s6t", | ||
251 | "format": "CSV", | 251 | "format": "CSV", | ||
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254 | "last_modified": null, | 254 | "last_modified": null, | ||
255 | "metadata_modified": "2023-11-17T09:26:23.134245", | 255 | "metadata_modified": "2023-11-17T09:26:23.134245", | ||
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258 | "name": "Swiss data full", | 258 | "name": "Swiss data full", | ||
259 | "package_id": "d2b9e7f9-c617-4e4d-9f04-c993e1e27ff7", | 259 | "package_id": "d2b9e7f9-c617-4e4d-9f04-c993e1e27ff7", | ||
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267 | "size": null, | 267 | "size": null, | ||
268 | "state": "active", | 268 | "state": "active", | ||
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270 | "https://datadryad.org/stash/downloads/file_stream/69902", | 270 | "https://datadryad.org/stash/downloads/file_stream/69902", | ||
271 | "url_type": null | 271 | "url_type": null | ||
272 | }, | 272 | }, | ||
273 | { | 273 | { | ||
274 | "cache_last_updated": null, | 274 | "cache_last_updated": null, | ||
275 | "cache_url": null, | 275 | "cache_url": null, | ||
276 | "created": "2017-11-08T14:02:54.751727", | 276 | "created": "2017-11-08T14:02:54.751727", | ||
277 | "description": "READ ME for\r\n\r\nH\u00fclsmann L, Bugmann H, | 277 | "description": "READ ME for\r\n\r\nH\u00fclsmann L, Bugmann H, | ||
278 | Commarmot B, Meyer P, Zimmermann S, Brang P \r\nData from: Does one | 278 | Commarmot B, Meyer P, Zimmermann S, Brang P \r\nData from: Does one | ||
279 | model fit all? Patterns of beech mortality in natural forests of three | 279 | model fit all? Patterns of beech mortality in natural forests of three | ||
280 | European regions. \r\nEcological Applications | 280 | European regions. \r\nEcological Applications | ||
281 | http://dx.doi.org/10.5061/dryad.h4s6t \r\n\r\n\r\nForest inventory | 281 | http://dx.doi.org/10.5061/dryad.h4s6t \r\n\r\n\r\nForest inventory | ||
282 | data of beech for the development of individual-tree mortality models | 282 | data of beech for the development of individual-tree mortality models | ||
283 | from strict forests reserves in Switzerland, Germany and Ukraine. | 283 | from strict forests reserves in Switzerland, Germany and Ukraine. | ||
284 | \r\n\r\n\r\nThe data package provides the files\r\nCH_reduced: | 284 | \r\n\r\n\r\nThe data package provides the files\r\nCH_reduced: | ||
285 | inventory data of the reduced dataset from Switzerland that was used | 285 | inventory data of the reduced dataset from Switzerland that was used | ||
286 | to assess the influence of additional environmental and stand | 286 | to assess the influence of additional environmental and stand | ||
287 | characteristics on beech mortality\r\nCH: inventory data from strict | 287 | characteristics on beech mortality\r\nCH: inventory data from strict | ||
288 | forest reserves in Switzerland\r\nDE: inventory data from strict | 288 | forest reserves in Switzerland\r\nDE: inventory data from strict | ||
289 | forest reserves in Germany\r\nUA: inventory data from a primeval beech | 289 | forest reserves in Germany\r\nUA: inventory data from a primeval beech | ||
290 | forest in Ukraine\r\n\r\n\r\n\r\nA set of three consecutive | 290 | forest in Ukraine\r\n\r\n\r\n\r\nA set of three consecutive | ||
291 | inventories was used to generate records for the calibration of | 291 | inventories was used to generate records for the calibration of | ||
292 | mortality models based on trees that were alive in the first and | 292 | mortality models based on trees that were alive in the first and | ||
293 | second inventory and either dead or alive in the third | 293 | second inventory and either dead or alive in the third | ||
294 | inventory.\r\nDiameter at breast height: dbh (mm) \r\nAnnual relative | 294 | inventory.\r\nDiameter at breast height: dbh (mm) \r\nAnnual relative | ||
295 | basal area increment: relBAI (), calculated based on the first and the | 295 | basal area increment: relBAI (), calculated based on the first and the | ||
296 | second dbh measurement as the compound annual growth rate of the trees | 296 | second dbh measurement as the compound annual growth rate of the trees | ||
297 | basal area (Bigler and Bugmann 2004)\r\nStatus of the tree: y, 0 = | 297 | basal area (Bigler and Bugmann 2004)\r\nStatus of the tree: y, 0 = | ||
298 | alive, 1 = dead\r\nLength of the mortality period: dt | 298 | alive, 1 = dead\r\nLength of the mortality period: dt | ||
299 | (years)\r\n\r\n\r\n\r\nAdditional environmental and stand | 299 | (years)\r\n\r\n\r\n\r\nAdditional environmental and stand | ||
300 | characteristics were derived for the reduced Swiss dataset. \r\nNote | 300 | characteristics were derived for the reduced Swiss dataset. \r\nNote | ||
301 | the varying seasonal level of the covariates considering the entire | 301 | the varying seasonal level of the covariates considering the entire | ||
302 | year, the growing season from April to September (G) and the winter | 302 | year, the growing season from April to September (G) and the winter | ||
303 | month January to March (W). \r\nAll climatic covariates were | 303 | month January to March (W). \r\nAll climatic covariates were | ||
304 | calculated for both the \u2018growth\u2019 (2) and the | 304 | calculated for both the \u2018growth\u2019 (2) and the | ||
305 | \u2018mortality\u2019 period (3). The stand covariates were derived | 305 | \u2018mortality\u2019 period (3). The stand covariates were derived | ||
306 | for the second inventory of each record (2). \r\n\r\nMean diameter at | 306 | for the second inventory of each record (2). \r\n\r\nMean diameter at | ||
307 | breast height: dbh.mean.2 (mm)\r\nInterquartile range of diameter at | 307 | breast height: dbh.mean.2 (mm)\r\nInterquartile range of diameter at | ||
308 | breast height: dbh.IQR.2 (mm)\r\nMedian diameter at breast height: | 308 | breast height: dbh.IQR.2 (mm)\r\nMedian diameter at breast height: | ||
309 | dbh.median.2 (mm)\r\nBasal area per hectare: BA.2 (m2 ha-1)\r\nNumber | 309 | dbh.median.2 (mm)\r\nBasal area per hectare: BA.2 (m2 ha-1)\r\nNumber | ||
310 | of trees per hectare: N.2 (ha-1)\r\npH-value: pH ()\r\nAvailable water | 310 | of trees per hectare: N.2 (ha-1)\r\npH-value: pH ()\r\nAvailable water | ||
311 | capacity in the soil: AWC (mm)\r\nMean annual precipitation sum: P.2, | 311 | capacity in the soil: AWC (mm)\r\nMean annual precipitation sum: P.2, | ||
312 | P.3 (mm) \r\nMean precipitation sum during growing season: PG.2, PG.3 | 312 | P.3 (mm) \r\nMean precipitation sum during growing season: PG.2, PG.3 | ||
313 | (mm)\r\nMean annual air temperature: mT.2, mT.3 (\u00b0C)\r\nMean air | 313 | (mm)\r\nMean annual air temperature: mT.2, mT.3 (\u00b0C)\r\nMean air | ||
314 | temperature during growing season: mTG.2, mTG.3 (\u00b0C)\r\nMean air | 314 | temperature during growing season: mTG.2, mTG.3 (\u00b0C)\r\nMean air | ||
315 | temperature during winter months: mTW.2, mTW.3 (\u00b0C)\r\nMean | 315 | temperature during winter months: mTW.2, mTW.3 (\u00b0C)\r\nMean | ||
316 | growing degree-days: GDD.2, GDD.3 ()\r\nMean number of months during | 316 | growing degree-days: GDD.2, GDD.3 ()\r\nMean number of months during | ||
317 | growing season with water deficit: mDEFdurG.2, mDEFdurG.3 ()\r\nMean | 317 | growing season with water deficit: mDEFdurG.2, mDEFdurG.3 ()\r\nMean | ||
318 | annual maximum water deficit: mDEFmax.2, mDEFmax.3 (mm)\r\nOverall | 318 | annual maximum water deficit: mDEFmax.2, mDEFmax.3 (mm)\r\nOverall | ||
319 | maximum of the annual maximum water deficit: maxDEFmax.2, maxDEFmax.3 | 319 | maximum of the annual maximum water deficit: maxDEFmax.2, maxDEFmax.3 | ||
320 | (mm)\r\nMean of cumulative water deficit during growing season: | 320 | (mm)\r\nMean of cumulative water deficit during growing season: | ||
321 | mDEFcumG.2, mDEFcumG.3 (mm)\r\nOverall maximum of cumulative water | 321 | mDEFcumG.2, mDEFcumG.3 (mm)\r\nOverall maximum of cumulative water | ||
322 | deficitduring growing season: maxDEFcumG.2, maxDEFcumG.3 | 322 | deficitduring growing season: maxDEFcumG.2, maxDEFcumG.3 | ||
323 | (mm)\r\nPercentage of years with at least one month water deficit: | 323 | (mm)\r\nPercentage of years with at least one month water deficit: | ||
324 | percDEF.2, percDEF.3 (%)", | 324 | percDEF.2, percDEF.3 (%)", | ||
325 | "doi": "10.5061/dryad.h4s6t", | 325 | "doi": "10.5061/dryad.h4s6t", | ||
326 | "format": "CSV", | 326 | "format": "CSV", | ||
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329 | "last_modified": null, | 329 | "last_modified": null, | ||
330 | "metadata_modified": "2023-11-17T09:27:55.507672", | 330 | "metadata_modified": "2023-11-17T09:27:55.507672", | ||
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342 | "size": null, | 342 | "size": null, | ||
343 | "state": "active", | 343 | "state": "active", | ||
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345 | "https://datadryad.org/stash/downloads/file_stream/69904", | 345 | "https://datadryad.org/stash/downloads/file_stream/69904", | ||
346 | "url_type": null | 346 | "url_type": null | ||
347 | }, | 347 | }, | ||
348 | { | 348 | { | ||
349 | "cache_last_updated": null, | 349 | "cache_last_updated": null, | ||
350 | "cache_url": null, | 350 | "cache_url": null, | ||
351 | "created": "2017-11-08T14:04:51.342427", | 351 | "created": "2017-11-08T14:04:51.342427", | ||
352 | "description": "READ ME for\r\n\r\nH\u00fclsmann L, Bugmann H, | 352 | "description": "READ ME for\r\n\r\nH\u00fclsmann L, Bugmann H, | ||
353 | Commarmot B, Meyer P, Zimmermann S, Brang P \r\nData from: Does one | 353 | Commarmot B, Meyer P, Zimmermann S, Brang P \r\nData from: Does one | ||
354 | model fit all? Patterns of beech mortality in natural forests of three | 354 | model fit all? Patterns of beech mortality in natural forests of three | ||
355 | European regions. \r\nEcological Applications | 355 | European regions. \r\nEcological Applications | ||
356 | http://dx.doi.org/10.5061/dryad.h4s6t \r\n\r\n\r\nForest inventory | 356 | http://dx.doi.org/10.5061/dryad.h4s6t \r\n\r\n\r\nForest inventory | ||
357 | data of beech for the development of individual-tree mortality models | 357 | data of beech for the development of individual-tree mortality models | ||
358 | from strict forests reserves in Switzerland, Germany and Ukraine. | 358 | from strict forests reserves in Switzerland, Germany and Ukraine. | ||
359 | \r\n\r\n\r\nThe data package provides the files\r\nCH_reduced: | 359 | \r\n\r\n\r\nThe data package provides the files\r\nCH_reduced: | ||
360 | inventory data of the reduced dataset from Switzerland that was used | 360 | inventory data of the reduced dataset from Switzerland that was used | ||
361 | to assess the influence of additional environmental and stand | 361 | to assess the influence of additional environmental and stand | ||
362 | characteristics on beech mortality\r\nCH: inventory data from strict | 362 | characteristics on beech mortality\r\nCH: inventory data from strict | ||
363 | forest reserves in Switzerland\r\nDE: inventory data from strict | 363 | forest reserves in Switzerland\r\nDE: inventory data from strict | ||
364 | forest reserves in Germany\r\nUA: inventory data from a primeval beech | 364 | forest reserves in Germany\r\nUA: inventory data from a primeval beech | ||
365 | forest in Ukraine\r\n\r\n\r\n\r\nA set of three consecutive | 365 | forest in Ukraine\r\n\r\n\r\n\r\nA set of three consecutive | ||
366 | inventories was used to generate records for the calibration of | 366 | inventories was used to generate records for the calibration of | ||
367 | mortality models based on trees that were alive in the first and | 367 | mortality models based on trees that were alive in the first and | ||
368 | second inventory and either dead or alive in the third | 368 | second inventory and either dead or alive in the third | ||
369 | inventory.\r\nDiameter at breast height: dbh (mm) \r\nAnnual relative | 369 | inventory.\r\nDiameter at breast height: dbh (mm) \r\nAnnual relative | ||
370 | basal area increment: relBAI (), calculated based on the first and the | 370 | basal area increment: relBAI (), calculated based on the first and the | ||
371 | second dbh measurement as the compound annual growth rate of the trees | 371 | second dbh measurement as the compound annual growth rate of the trees | ||
372 | basal area (Bigler and Bugmann 2004)\r\nStatus of the tree: y, 0 = | 372 | basal area (Bigler and Bugmann 2004)\r\nStatus of the tree: y, 0 = | ||
373 | alive, 1 = dead\r\nLength of the mortality period: dt | 373 | alive, 1 = dead\r\nLength of the mortality period: dt | ||
374 | (years)\r\n\r\n\r\n\r\nAdditional environmental and stand | 374 | (years)\r\n\r\n\r\n\r\nAdditional environmental and stand | ||
375 | characteristics were derived for the reduced Swiss dataset. \r\nNote | 375 | characteristics were derived for the reduced Swiss dataset. \r\nNote | ||
376 | the varying seasonal level of the covariates considering the entire | 376 | the varying seasonal level of the covariates considering the entire | ||
377 | year, the growing season from April to September (G) and the winter | 377 | year, the growing season from April to September (G) and the winter | ||
378 | month January to March (W). \r\nAll climatic covariates were | 378 | month January to March (W). \r\nAll climatic covariates were | ||
379 | calculated for both the \u2018growth\u2019 (2) and the | 379 | calculated for both the \u2018growth\u2019 (2) and the | ||
380 | \u2018mortality\u2019 period (3). The stand covariates were derived | 380 | \u2018mortality\u2019 period (3). The stand covariates were derived | ||
381 | for the second inventory of each record (2). \r\n\r\nMean diameter at | 381 | for the second inventory of each record (2). \r\n\r\nMean diameter at | ||
382 | breast height: dbh.mean.2 (mm)\r\nInterquartile range of diameter at | 382 | breast height: dbh.mean.2 (mm)\r\nInterquartile range of diameter at | ||
383 | breast height: dbh.IQR.2 (mm)\r\nMedian diameter at breast height: | 383 | breast height: dbh.IQR.2 (mm)\r\nMedian diameter at breast height: | ||
384 | dbh.median.2 (mm)\r\nBasal area per hectare: BA.2 (m2 ha-1)\r\nNumber | 384 | dbh.median.2 (mm)\r\nBasal area per hectare: BA.2 (m2 ha-1)\r\nNumber | ||
385 | of trees per hectare: N.2 (ha-1)\r\npH-value: pH ()\r\nAvailable water | 385 | of trees per hectare: N.2 (ha-1)\r\npH-value: pH ()\r\nAvailable water | ||
386 | capacity in the soil: AWC (mm)\r\nMean annual precipitation sum: P.2, | 386 | capacity in the soil: AWC (mm)\r\nMean annual precipitation sum: P.2, | ||
387 | P.3 (mm) \r\nMean precipitation sum during growing season: PG.2, PG.3 | 387 | P.3 (mm) \r\nMean precipitation sum during growing season: PG.2, PG.3 | ||
388 | (mm)\r\nMean annual air temperature: mT.2, mT.3 (\u00b0C)\r\nMean air | 388 | (mm)\r\nMean annual air temperature: mT.2, mT.3 (\u00b0C)\r\nMean air | ||
389 | temperature during growing season: mTG.2, mTG.3 (\u00b0C)\r\nMean air | 389 | temperature during growing season: mTG.2, mTG.3 (\u00b0C)\r\nMean air | ||
390 | temperature during winter months: mTW.2, mTW.3 (\u00b0C)\r\nMean | 390 | temperature during winter months: mTW.2, mTW.3 (\u00b0C)\r\nMean | ||
391 | growing degree-days: GDD.2, GDD.3 ()\r\nMean number of months during | 391 | growing degree-days: GDD.2, GDD.3 ()\r\nMean number of months during | ||
392 | growing season with water deficit: mDEFdurG.2, mDEFdurG.3 ()\r\nMean | 392 | growing season with water deficit: mDEFdurG.2, mDEFdurG.3 ()\r\nMean | ||
393 | annual maximum water deficit: mDEFmax.2, mDEFmax.3 (mm)\r\nOverall | 393 | annual maximum water deficit: mDEFmax.2, mDEFmax.3 (mm)\r\nOverall | ||
394 | maximum of the annual maximum water deficit: maxDEFmax.2, maxDEFmax.3 | 394 | maximum of the annual maximum water deficit: maxDEFmax.2, maxDEFmax.3 | ||
395 | (mm)\r\nMean of cumulative water deficit during growing season: | 395 | (mm)\r\nMean of cumulative water deficit during growing season: | ||
396 | mDEFcumG.2, mDEFcumG.3 (mm)\r\nOverall maximum of cumulative water | 396 | mDEFcumG.2, mDEFcumG.3 (mm)\r\nOverall maximum of cumulative water | ||
397 | deficitduring growing season: maxDEFcumG.2, maxDEFcumG.3 | 397 | deficitduring growing season: maxDEFcumG.2, maxDEFcumG.3 | ||
398 | (mm)\r\nPercentage of years with at least one month water deficit: | 398 | (mm)\r\nPercentage of years with at least one month water deficit: | ||
399 | percDEF.2, percDEF.3 (%)", | 399 | percDEF.2, percDEF.3 (%)", | ||
400 | "doi": "10.5061/dryad.h4s6t", | 400 | "doi": "10.5061/dryad.h4s6t", | ||
401 | "format": "CSV", | 401 | "format": "CSV", | ||
402 | "hash": "", | 402 | "hash": "", | ||
403 | "id": "45aecd08-e566-401f-b893-faf4567d9544", | 403 | "id": "45aecd08-e566-401f-b893-faf4567d9544", | ||
404 | "last_modified": null, | 404 | "last_modified": null, | ||
n | 405 | "metadata_modified": "2023-11-17T09:23:34.160380", | n | 405 | "metadata_modified": "2023-11-17T09:28:52.223217", |
406 | "mimetype": "text/csv", | 406 | "mimetype": null, | ||
407 | "mimetype_inner": null, | 407 | "mimetype_inner": null, | ||
408 | "name": "Ukrainian data", | 408 | "name": "Ukrainian data", | ||
409 | "package_id": "d2b9e7f9-c617-4e4d-9f04-c993e1e27ff7", | 409 | "package_id": "d2b9e7f9-c617-4e4d-9f04-c993e1e27ff7", | ||
410 | "position": 3, | 410 | "position": 3, | ||
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412 | "resource_size": "{\"size_units\": \"kb\", \"size_value\": | ||||
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412 | "resource_type": null, | 414 | "resource_type": null, | ||
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414 | \"public\"}", | 416 | \"shared_secret\": \"\"}", | ||
415 | "size": null, | 417 | "size": null, | ||
416 | "state": "active", | 418 | "state": "active", | ||
417 | "url": | 419 | "url": | ||
t | 418 | "http://datadryad.org/bitstream/handle/10255/dryad.118079/UA.csv", | t | 420 | "https://datadryad.org/stash/downloads/file_stream/69908", |
419 | "url_type": null | 421 | "url_type": null | ||
420 | } | 422 | } | ||
421 | ], | 423 | ], | ||
422 | "spatial": "{ \"type\": \"MultiPolygon\", \"coordinates\": [ [ [ | 424 | "spatial": "{ \"type\": \"MultiPolygon\", \"coordinates\": [ [ [ | ||
423 | [6.6357421875, 51.23440735163459], [11.77734375, | 425 | [6.6357421875, 51.23440735163459], [11.77734375, | ||
424 | 51.23440735163459], [11.77734375, 53.91728101547621], [6.6357421875, | 426 | 51.23440735163459], [11.77734375, 53.91728101547621], [6.6357421875, | ||
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427 | [10.634765625, 47.88688085106901], [5.8447265625, 47.88688085106901], | 429 | [10.634765625, 47.88688085106901], [5.8447265625, 47.88688085106901], | ||
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432 | "spatial_info": "Switzerland, Germany, Ukraine", | 434 | "spatial_info": "Switzerland, Germany, Ukraine", | ||
433 | "state": "active", | 435 | "state": "active", | ||
434 | "subtitle": "", | 436 | "subtitle": "", | ||
435 | "tags": [ | 437 | "tags": [ | ||
436 | { | 438 | { | ||
437 | "display_name": "FAGUS SYLVATICA", | 439 | "display_name": "FAGUS SYLVATICA", | ||
438 | "id": "67ee888e-de3f-4960-8bee-83cae9a6b433", | 440 | "id": "67ee888e-de3f-4960-8bee-83cae9a6b433", | ||
439 | "name": "FAGUS SYLVATICA", | 441 | "name": "FAGUS SYLVATICA", | ||
440 | "state": "active", | 442 | "state": "active", | ||
441 | "vocabulary_id": null | 443 | "vocabulary_id": null | ||
442 | }, | 444 | }, | ||
443 | { | 445 | { | ||
444 | "display_name": "FOREST INVENTORY", | 446 | "display_name": "FOREST INVENTORY", | ||
445 | "id": "d1b2883f-be82-426b-8a5e-fd6d36bc2855", | 447 | "id": "d1b2883f-be82-426b-8a5e-fd6d36bc2855", | ||
446 | "name": "FOREST INVENTORY", | 448 | "name": "FOREST INVENTORY", | ||
447 | "state": "active", | 449 | "state": "active", | ||
448 | "vocabulary_id": null | 450 | "vocabulary_id": null | ||
449 | }, | 451 | }, | ||
450 | { | 452 | { | ||
451 | "display_name": "FOREST RESERVES", | 453 | "display_name": "FOREST RESERVES", | ||
452 | "id": "471aaba9-254b-4e64-9f6e-4168bf2435af", | 454 | "id": "471aaba9-254b-4e64-9f6e-4168bf2435af", | ||
453 | "name": "FOREST RESERVES", | 455 | "name": "FOREST RESERVES", | ||
454 | "state": "active", | 456 | "state": "active", | ||
455 | "vocabulary_id": null | 457 | "vocabulary_id": null | ||
456 | }, | 458 | }, | ||
457 | { | 459 | { | ||
458 | "display_name": "MORTALITY MODELS", | 460 | "display_name": "MORTALITY MODELS", | ||
459 | "id": "8b8bce7a-8fe9-4073-b617-b029abf7b63c", | 461 | "id": "8b8bce7a-8fe9-4073-b617-b029abf7b63c", | ||
460 | "name": "MORTALITY MODELS", | 462 | "name": "MORTALITY MODELS", | ||
461 | "state": "active", | 463 | "state": "active", | ||
462 | "vocabulary_id": null | 464 | "vocabulary_id": null | ||
463 | }, | 465 | }, | ||
464 | { | 466 | { | ||
465 | "display_name": "PRIMEVAL FORESTS", | 467 | "display_name": "PRIMEVAL FORESTS", | ||
466 | "id": "a1d6c29d-02a9-4c71-9603-62bdf3c2f284", | 468 | "id": "a1d6c29d-02a9-4c71-9603-62bdf3c2f284", | ||
467 | "name": "PRIMEVAL FORESTS", | 469 | "name": "PRIMEVAL FORESTS", | ||
468 | "state": "active", | 470 | "state": "active", | ||
469 | "vocabulary_id": null | 471 | "vocabulary_id": null | ||
470 | }, | 472 | }, | ||
471 | { | 473 | { | ||
472 | "display_name": "TREE MORTALITY", | 474 | "display_name": "TREE MORTALITY", | ||
473 | "id": "efedee58-cb1e-41cb-81b6-85dfa0775de5", | 475 | "id": "efedee58-cb1e-41cb-81b6-85dfa0775de5", | ||
474 | "name": "TREE MORTALITY", | 476 | "name": "TREE MORTALITY", | ||
475 | "state": "active", | 477 | "state": "active", | ||
476 | "vocabulary_id": null | 478 | "vocabulary_id": null | ||
477 | } | 479 | } | ||
478 | ], | 480 | ], | ||
479 | "title": "Data from: Does one model fit all? patterns of beech | 481 | "title": "Data from: Does one model fit all? patterns of beech | ||
480 | mortality in natural forests of three European regions", | 482 | mortality in natural forests of three European regions", | ||
481 | "type": "dataset", | 483 | "type": "dataset", | ||
482 | "url": null, | 484 | "url": null, | ||
483 | "version": "1.0" | 485 | "version": "1.0" | ||
484 | } | 486 | } |