Ontology type: schema:Chapter
1999
AUTHORSPer Stålnacke , Nils Vagstad , Timo Tamminen , Paul Wassmann , Viesturs Jansons , Enn Loigu
ABSTRACTIn this paper, we have synthesized and integrated results regarding nutrient loads and eutrophication of the Gulf of Riga (GoR) that were obtained in three projects that were part of a six-year research programme (1993–1998). In particular, we focused our attention on the factors that control the temporal variability in the load of nutrients in the drainage basin and rivers, as well as the effects of such nutrients on the environment of the recipient, the Gulf of Riga.The results indicate that the rivers play a crucial role in the total input of nutrients to the GoR, and exceed the combined contribution from atmospheric deposition, point emissions from cities and industries along the coast, and nitrogen fixation by marine organisms. It was found that natural variability in water discharge was the main factor controlling the temporal variability in the riverine load of nutrients (i.e. differences in load between seasons and years). Moderate nutrient losses to surface waters, especially from agriculture, and weak riverine response to the sudden decrease in agricultural production after the disintegration of the Soviet Union in the early 1990s were also found. It is suggested that this is most likely related to the inertia in, and buffering capacity of, agricultural soils, i.e. depending of factors such as hydrological conditions, the size of ground water aquifers and water-saturated soils, creating favourable conditions for nutrient retention processes in the agricultural landscape. Regardless of the relatively low area-specific riverine inputs, the pollution loads in the rivers have contributed significantly to eutrophication of the Gulf of Riga. This seems to be true despite the relatively rapid distribution of the loads beyond the littoral zone of the gulf, resulting in a moderate all-over eutrophication of the entire recipient, characteried by a continuously shifting gradient between the southern and northern parts of the gulf. Furthermore, the marine eutrophication seems to be less prominent and less confined to the southernmost basin than previously assumed. More... »
PAGES103-110
Man and River Systems
ISBN
978-90-481-5393-0
978-94-017-2163-9
http://scigraph.springernature.com/pub.10.1007/978-94-017-2163-9_12
DOIhttp://dx.doi.org/10.1007/978-94-017-2163-9_12
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1010403521
JSON-LD is the canonical representation for SciGraph data.
TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT
[
{
"@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json",
"about": [
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/04",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Earth Sciences",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Biological Sciences",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0406",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Physical Geography and Environmental Geoscience",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0602",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Ecology",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Jordforsk \u2014 Centre for Soil and Environmental Research, N-1432, \u00c5s, Norway",
"id": "http://www.grid.ac/institutes/grid.454322.6",
"name": [
"Jordforsk \u2014 Centre for Soil and Environmental Research, N-1432, \u00c5s, Norway"
],
"type": "Organization"
},
"familyName": "St\u00e5lnacke",
"givenName": "Per",
"id": "sg:person.0677441503.55",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0677441503.55"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Jordforsk \u2014 Centre for Soil and Environmental Research, N-1432, \u00c5s, Norway",
"id": "http://www.grid.ac/institutes/grid.454322.6",
"name": [
"Jordforsk \u2014 Centre for Soil and Environmental Research, N-1432, \u00c5s, Norway"
],
"type": "Organization"
},
"familyName": "Vagstad",
"givenName": "Nils",
"id": "sg:person.0650224576.54",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0650224576.54"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Finnish Environment Institute, P.O. Box 140, FIN-00251, Helsinki, Finland",
"id": "http://www.grid.ac/institutes/grid.410381.f",
"name": [
"Finnish Environment Institute, P.O. Box 140, FIN-00251, Helsinki, Finland"
],
"type": "Organization"
},
"familyName": "Tamminen",
"givenName": "Timo",
"id": "sg:person.0740057707.38",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0740057707.38"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Norwegian College of Fishery Science, University of Troms\u00f8, N-9037, Troms\u00f8, Norway",
"id": "http://www.grid.ac/institutes/grid.10919.30",
"name": [
"Norwegian College of Fishery Science, University of Troms\u00f8, N-9037, Troms\u00f8, Norway"
],
"type": "Organization"
},
"familyName": "Wassmann",
"givenName": "Paul",
"id": "sg:person.014367316245.78",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014367316245.78"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Dept. of Environmental Engineering and Management, Latvian University of Agriculture, LV-3001, Jelgava, Latvia",
"id": "http://www.grid.ac/institutes/grid.22657.34",
"name": [
"Dept. of Environmental Engineering and Management, Latvian University of Agriculture, LV-3001, Jelgava, Latvia"
],
"type": "Organization"
},
"familyName": "Jansons",
"givenName": "Viesturs",
"id": "sg:person.015310012344.07",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015310012344.07"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Dept. of Environmental Engineering, Tallinn Technical University, EE-0026, Tallinn, Estonia",
"id": "http://www.grid.ac/institutes/grid.6988.f",
"name": [
"Dept. of Environmental Engineering, Tallinn Technical University, EE-0026, Tallinn, Estonia"
],
"type": "Organization"
},
"familyName": "Loigu",
"givenName": "Enn",
"id": "sg:person.0725615771.49",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0725615771.49"
],
"type": "Person"
}
],
"datePublished": "1999",
"datePublishedReg": "1999-01-01",
"description": "In this paper, we have synthesized and integrated results regarding nutrient loads and eutrophication of the Gulf of Riga (GoR) that were obtained in three projects that were part of a six-year research programme (1993\u20131998). In particular, we focused our attention on the factors that control the temporal variability in the load of nutrients in the drainage basin and rivers, as well as the effects of such nutrients on the environment of the recipient, the Gulf of Riga.The results indicate that the rivers play a crucial role in the total input of nutrients to the GoR, and exceed the combined contribution from atmospheric deposition, point emissions from cities and industries along the coast, and nitrogen fixation by marine organisms. It was found that natural variability in water discharge was the main factor controlling the temporal variability in the riverine load of nutrients (i.e. differences in load between seasons and years). Moderate nutrient losses to surface waters, especially from agriculture, and weak riverine response to the sudden decrease in agricultural production after the disintegration of the Soviet Union in the early 1990s were also found. It is suggested that this is most likely related to the inertia in, and buffering capacity of, agricultural soils, i.e. depending of factors such as hydrological conditions, the size of ground water aquifers and water-saturated soils, creating favourable conditions for nutrient retention processes in the agricultural landscape. Regardless of the relatively low area-specific riverine inputs, the pollution loads in the rivers have contributed significantly to eutrophication of the Gulf of Riga. This seems to be true despite the relatively rapid distribution of the loads beyond the littoral zone of the gulf, resulting in a moderate all-over eutrophication of the entire recipient, characteried by a continuously shifting gradient between the southern and northern parts of the gulf. Furthermore, the marine eutrophication seems to be less prominent and less confined to the southernmost basin than previously assumed.",
"editor": [
{
"familyName": "Garnier",
"givenName": "Josette",
"type": "Person"
},
{
"familyName": "Mouchel",
"givenName": "Jean-Marie",
"type": "Person"
}
],
"genre": "chapter",
"id": "sg:pub.10.1007/978-94-017-2163-9_12",
"inLanguage": "en",
"isAccessibleForFree": false,
"isPartOf": {
"isbn": [
"978-90-481-5393-0",
"978-94-017-2163-9"
],
"name": "Man and River Systems",
"type": "Book"
},
"keywords": [
"Gulf of Riga",
"temporal variability",
"loads of nutrients",
"water-saturated soil",
"ground water aquifers",
"six-year research programme",
"agricultural soils",
"agricultural landscapes",
"marine eutrophication",
"nutrient losses",
"nutrient loads",
"nutrient runoff",
"riverine input",
"atmospheric deposition",
"southernmost basin",
"drainage basin",
"riverine loads",
"hydrological conditions",
"pollution load",
"water aquifers",
"natural variability",
"water discharge",
"northern part",
"littoral zone",
"eutrophication",
"agricultural production",
"marine organisms",
"Gulf",
"River",
"total input",
"nutrients",
"integrated results",
"point emissions",
"such nutrients",
"nitrogen fixation",
"soil",
"basin",
"retention processes",
"favorable conditions",
"variability",
"Riga",
"main factors",
"sudden decrease",
"aquifer",
"runoff",
"land",
"landscape",
"research program",
"coast",
"agriculture",
"zone",
"input",
"early 1990s",
"water",
"gradient",
"deposition",
"part",
"organisms",
"discharge",
"GOR",
"environment",
"distribution",
"emission",
"city",
"conditions",
"factors",
"rapid distribution",
"contribution",
"loss",
"disintegration",
"production",
"capacity",
"load",
"project",
"crucial role",
"fixation",
"results",
"process",
"decrease",
"response",
"effect",
"size",
"Soviet Union",
"program",
"Union",
"inertia",
"attention",
"role",
"industry",
"paper",
"recipients"
],
"name": "Nutrient runoff and transfer from land and rivers to the Gulf of Riga",
"pagination": "103-110",
"productId": [
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1010403521"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/978-94-017-2163-9_12"
]
}
],
"publisher": {
"name": "Springer Nature",
"type": "Organisation"
},
"sameAs": [
"https://doi.org/10.1007/978-94-017-2163-9_12",
"https://app.dimensions.ai/details/publication/pub.1010403521"
],
"sdDataset": "chapters",
"sdDatePublished": "2022-05-20T07:48",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-springernature-scigraph/baseset/20220519/entities/gbq_results/chapter/chapter_451.jsonl",
"type": "Chapter",
"url": "https://doi.org/10.1007/978-94-017-2163-9_12"
}
]
Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/978-94-017-2163-9_12'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-94-017-2163-9_12'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-94-017-2163-9_12'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-94-017-2163-9_12'
This table displays all metadata directly associated to this object as RDF triples.
211 TRIPLES
23 PREDICATES
119 URIs
110 LITERALS
7 BLANK NODES
Subject | Predicate | Object | |
---|---|---|---|
1 | sg:pub.10.1007/978-94-017-2163-9_12 | schema:about | anzsrc-for:04 |
2 | ″ | ″ | anzsrc-for:0406 |
3 | ″ | ″ | anzsrc-for:06 |
4 | ″ | ″ | anzsrc-for:0602 |
5 | ″ | schema:author | Nd09e4ce1f3e24c058ae505485a5e9bd5 |
6 | ″ | schema:datePublished | 1999 |
7 | ″ | schema:datePublishedReg | 1999-01-01 |
8 | ″ | schema:description | In this paper, we have synthesized and integrated results regarding nutrient loads and eutrophication of the Gulf of Riga (GoR) that were obtained in three projects that were part of a six-year research programme (1993–1998). In particular, we focused our attention on the factors that control the temporal variability in the load of nutrients in the drainage basin and rivers, as well as the effects of such nutrients on the environment of the recipient, the Gulf of Riga.The results indicate that the rivers play a crucial role in the total input of nutrients to the GoR, and exceed the combined contribution from atmospheric deposition, point emissions from cities and industries along the coast, and nitrogen fixation by marine organisms. It was found that natural variability in water discharge was the main factor controlling the temporal variability in the riverine load of nutrients (i.e. differences in load between seasons and years). Moderate nutrient losses to surface waters, especially from agriculture, and weak riverine response to the sudden decrease in agricultural production after the disintegration of the Soviet Union in the early 1990s were also found. It is suggested that this is most likely related to the inertia in, and buffering capacity of, agricultural soils, i.e. depending of factors such as hydrological conditions, the size of ground water aquifers and water-saturated soils, creating favourable conditions for nutrient retention processes in the agricultural landscape. Regardless of the relatively low area-specific riverine inputs, the pollution loads in the rivers have contributed significantly to eutrophication of the Gulf of Riga. This seems to be true despite the relatively rapid distribution of the loads beyond the littoral zone of the gulf, resulting in a moderate all-over eutrophication of the entire recipient, characteried by a continuously shifting gradient between the southern and northern parts of the gulf. Furthermore, the marine eutrophication seems to be less prominent and less confined to the southernmost basin than previously assumed. |
9 | ″ | schema:editor | Nc4c9c47ed83f496c8da1c4c9f57e273f |
10 | ″ | schema:genre | chapter |
11 | ″ | schema:inLanguage | en |
12 | ″ | schema:isAccessibleForFree | false |
13 | ″ | schema:isPartOf | N79537f998a264820a033f12f06c80d7a |
14 | ″ | schema:keywords | GOR |
15 | ″ | ″ | Gulf |
16 | ″ | ″ | Gulf of Riga |
17 | ″ | ″ | Riga |
18 | ″ | ″ | River |
19 | ″ | ″ | Soviet Union |
20 | ″ | ″ | Union |
21 | ″ | ″ | agricultural landscapes |
22 | ″ | ″ | agricultural production |
23 | ″ | ″ | agricultural soils |
24 | ″ | ″ | agriculture |
25 | ″ | ″ | aquifer |
26 | ″ | ″ | atmospheric deposition |
27 | ″ | ″ | attention |
28 | ″ | ″ | basin |
29 | ″ | ″ | capacity |
30 | ″ | ″ | city |
31 | ″ | ″ | coast |
32 | ″ | ″ | conditions |
33 | ″ | ″ | contribution |
34 | ″ | ″ | crucial role |
35 | ″ | ″ | decrease |
36 | ″ | ″ | deposition |
37 | ″ | ″ | discharge |
38 | ″ | ″ | disintegration |
39 | ″ | ″ | distribution |
40 | ″ | ″ | drainage basin |
41 | ″ | ″ | early 1990s |
42 | ″ | ″ | effect |
43 | ″ | ″ | emission |
44 | ″ | ″ | environment |
45 | ″ | ″ | eutrophication |
46 | ″ | ″ | factors |
47 | ″ | ″ | favorable conditions |
48 | ″ | ″ | fixation |
49 | ″ | ″ | gradient |
50 | ″ | ″ | ground water aquifers |
51 | ″ | ″ | hydrological conditions |
52 | ″ | ″ | industry |
53 | ″ | ″ | inertia |
54 | ″ | ″ | input |
55 | ″ | ″ | integrated results |
56 | ″ | ″ | land |
57 | ″ | ″ | landscape |
58 | ″ | ″ | littoral zone |
59 | ″ | ″ | load |
60 | ″ | ″ | loads of nutrients |
61 | ″ | ″ | loss |
62 | ″ | ″ | main factors |
63 | ″ | ″ | marine eutrophication |
64 | ″ | ″ | marine organisms |
65 | ″ | ″ | natural variability |
66 | ″ | ″ | nitrogen fixation |
67 | ″ | ″ | northern part |
68 | ″ | ″ | nutrient loads |
69 | ″ | ″ | nutrient losses |
70 | ″ | ″ | nutrient runoff |
71 | ″ | ″ | nutrients |
72 | ″ | ″ | organisms |
73 | ″ | ″ | paper |
74 | ″ | ″ | part |
75 | ″ | ″ | point emissions |
76 | ″ | ″ | pollution load |
77 | ″ | ″ | process |
78 | ″ | ″ | production |
79 | ″ | ″ | program |
80 | ″ | ″ | project |
81 | ″ | ″ | rapid distribution |
82 | ″ | ″ | recipients |
83 | ″ | ″ | research program |
84 | ″ | ″ | response |
85 | ″ | ″ | results |
86 | ″ | ″ | retention processes |
87 | ″ | ″ | riverine input |
88 | ″ | ″ | riverine loads |
89 | ″ | ″ | role |
90 | ″ | ″ | runoff |
91 | ″ | ″ | six-year research programme |
92 | ″ | ″ | size |
93 | ″ | ″ | soil |
94 | ″ | ″ | southernmost basin |
95 | ″ | ″ | such nutrients |
96 | ″ | ″ | sudden decrease |
97 | ″ | ″ | temporal variability |
98 | ″ | ″ | total input |
99 | ″ | ″ | variability |
100 | ″ | ″ | water |
101 | ″ | ″ | water aquifers |
102 | ″ | ″ | water discharge |
103 | ″ | ″ | water-saturated soil |
104 | ″ | ″ | zone |
105 | ″ | schema:name | Nutrient runoff and transfer from land and rivers to the Gulf of Riga |
106 | ″ | schema:pagination | 103-110 |
107 | ″ | schema:productId | N9067d92e0457400ead9b82a3613d8f4d |
108 | ″ | ″ | Naf296b9132d44582886b107b531fb672 |
109 | ″ | schema:publisher | N859ebbd7032f4eaaa48184c312179fe9 |
110 | ″ | schema:sameAs | https://app.dimensions.ai/details/publication/pub.1010403521 |
111 | ″ | ″ | https://doi.org/10.1007/978-94-017-2163-9_12 |
112 | ″ | schema:sdDatePublished | 2022-05-20T07:48 |
113 | ″ | schema:sdLicense | https://scigraph.springernature.com/explorer/license/ |
114 | ″ | schema:sdPublisher | Na27f7281c9d849f9863d0cbdcdc61d61 |
115 | ″ | schema:url | https://doi.org/10.1007/978-94-017-2163-9_12 |
116 | ″ | sgo:license | sg:explorer/license/ |
117 | ″ | sgo:sdDataset | chapters |
118 | ″ | rdf:type | schema:Chapter |
119 | N011bee14768e4ba4b3e0b92045a97fbc | rdf:first | sg:person.0725615771.49 |
120 | ″ | rdf:rest | rdf:nil |
121 | N092953a46d0b4e1093694f69cc19deae | rdf:first | sg:person.014367316245.78 |
122 | ″ | rdf:rest | Nce298dc5db2e467c9103e35f6329a6cf |
123 | N4742dd0f78124f669761cc90e03b1131 | rdf:first | sg:person.0740057707.38 |
124 | ″ | rdf:rest | N092953a46d0b4e1093694f69cc19deae |
125 | N6c9e875647ad427b8019e23a74aa01d5 | rdf:first | N708a3995b27548a2907307b19d214d0d |
126 | ″ | rdf:rest | rdf:nil |
127 | N708a3995b27548a2907307b19d214d0d | schema:familyName | Mouchel |
128 | ″ | schema:givenName | Jean-Marie |
129 | ″ | rdf:type | schema:Person |
130 | N79537f998a264820a033f12f06c80d7a | schema:isbn | 978-90-481-5393-0 |
131 | ″ | ″ | 978-94-017-2163-9 |
132 | ″ | schema:name | Man and River Systems |
133 | ″ | rdf:type | schema:Book |
134 | N79db22d6aa6c43aa91077c87d0692844 | schema:familyName | Garnier |
135 | ″ | schema:givenName | Josette |
136 | ″ | rdf:type | schema:Person |
137 | N859ebbd7032f4eaaa48184c312179fe9 | schema:name | Springer Nature |
138 | ″ | rdf:type | schema:Organisation |
139 | N9067d92e0457400ead9b82a3613d8f4d | schema:name | dimensions_id |
140 | ″ | schema:value | pub.1010403521 |
141 | ″ | rdf:type | schema:PropertyValue |
142 | Na27f7281c9d849f9863d0cbdcdc61d61 | schema:name | Springer Nature - SN SciGraph project |
143 | ″ | rdf:type | schema:Organization |
144 | Naf296b9132d44582886b107b531fb672 | schema:name | doi |
145 | ″ | schema:value | 10.1007/978-94-017-2163-9_12 |
146 | ″ | rdf:type | schema:PropertyValue |
147 | Nc4c9c47ed83f496c8da1c4c9f57e273f | rdf:first | N79db22d6aa6c43aa91077c87d0692844 |
148 | ″ | rdf:rest | N6c9e875647ad427b8019e23a74aa01d5 |
149 | Nce298dc5db2e467c9103e35f6329a6cf | rdf:first | sg:person.015310012344.07 |
150 | ″ | rdf:rest | N011bee14768e4ba4b3e0b92045a97fbc |
151 | Nd09e4ce1f3e24c058ae505485a5e9bd5 | rdf:first | sg:person.0677441503.55 |
152 | ″ | rdf:rest | Nd19c627ef325464a961d2ae616f0112a |
153 | Nd19c627ef325464a961d2ae616f0112a | rdf:first | sg:person.0650224576.54 |
154 | ″ | rdf:rest | N4742dd0f78124f669761cc90e03b1131 |
155 | anzsrc-for:04 | schema:inDefinedTermSet | anzsrc-for: |
156 | ″ | schema:name | Earth Sciences |
157 | ″ | rdf:type | schema:DefinedTerm |
158 | anzsrc-for:0406 | schema:inDefinedTermSet | anzsrc-for: |
159 | ″ | schema:name | Physical Geography and Environmental Geoscience |
160 | ″ | rdf:type | schema:DefinedTerm |
161 | anzsrc-for:06 | schema:inDefinedTermSet | anzsrc-for: |
162 | ″ | schema:name | Biological Sciences |
163 | ″ | rdf:type | schema:DefinedTerm |
164 | anzsrc-for:0602 | schema:inDefinedTermSet | anzsrc-for: |
165 | ″ | schema:name | Ecology |
166 | ″ | rdf:type | schema:DefinedTerm |
167 | sg:person.014367316245.78 | schema:affiliation | grid-institutes:grid.10919.30 |
168 | ″ | schema:familyName | Wassmann |
169 | ″ | schema:givenName | Paul |
170 | ″ | schema:sameAs | https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014367316245.78 |
171 | ″ | rdf:type | schema:Person |
172 | sg:person.015310012344.07 | schema:affiliation | grid-institutes:grid.22657.34 |
173 | ″ | schema:familyName | Jansons |
174 | ″ | schema:givenName | Viesturs |
175 | ″ | schema:sameAs | https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015310012344.07 |
176 | ″ | rdf:type | schema:Person |
177 | sg:person.0650224576.54 | schema:affiliation | grid-institutes:grid.454322.6 |
178 | ″ | schema:familyName | Vagstad |
179 | ″ | schema:givenName | Nils |
180 | ″ | schema:sameAs | https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0650224576.54 |
181 | ″ | rdf:type | schema:Person |
182 | sg:person.0677441503.55 | schema:affiliation | grid-institutes:grid.454322.6 |
183 | ″ | schema:familyName | Stålnacke |
184 | ″ | schema:givenName | Per |
185 | ″ | schema:sameAs | https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0677441503.55 |
186 | ″ | rdf:type | schema:Person |
187 | sg:person.0725615771.49 | schema:affiliation | grid-institutes:grid.6988.f |
188 | ″ | schema:familyName | Loigu |
189 | ″ | schema:givenName | Enn |
190 | ″ | schema:sameAs | https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0725615771.49 |
191 | ″ | rdf:type | schema:Person |
192 | sg:person.0740057707.38 | schema:affiliation | grid-institutes:grid.410381.f |
193 | ″ | schema:familyName | Tamminen |
194 | ″ | schema:givenName | Timo |
195 | ″ | schema:sameAs | https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0740057707.38 |
196 | ″ | rdf:type | schema:Person |
197 | grid-institutes:grid.10919.30 | schema:alternateName | Norwegian College of Fishery Science, University of Tromsø, N-9037, Tromsø, Norway |
198 | ″ | schema:name | Norwegian College of Fishery Science, University of Tromsø, N-9037, Tromsø, Norway |
199 | ″ | rdf:type | schema:Organization |
200 | grid-institutes:grid.22657.34 | schema:alternateName | Dept. of Environmental Engineering and Management, Latvian University of Agriculture, LV-3001, Jelgava, Latvia |
201 | ″ | schema:name | Dept. of Environmental Engineering and Management, Latvian University of Agriculture, LV-3001, Jelgava, Latvia |
202 | ″ | rdf:type | schema:Organization |
203 | grid-institutes:grid.410381.f | schema:alternateName | Finnish Environment Institute, P.O. Box 140, FIN-00251, Helsinki, Finland |
204 | ″ | schema:name | Finnish Environment Institute, P.O. Box 140, FIN-00251, Helsinki, Finland |
205 | ″ | rdf:type | schema:Organization |
206 | grid-institutes:grid.454322.6 | schema:alternateName | Jordforsk — Centre for Soil and Environmental Research, N-1432, Ås, Norway |
207 | ″ | schema:name | Jordforsk — Centre for Soil and Environmental Research, N-1432, Ås, Norway |
208 | ″ | rdf:type | schema:Organization |
209 | grid-institutes:grid.6988.f | schema:alternateName | Dept. of Environmental Engineering, Tallinn Technical University, EE-0026, Tallinn, Estonia |
210 | ″ | schema:name | Dept. of Environmental Engineering, Tallinn Technical University, EE-0026, Tallinn, Estonia |
211 | ″ | rdf:type | schema:Organization |