Prioritizing farm management interventions to improve climate change adaptation and mitigation outcomes—a case study for banana plantations View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2022-08-04

AUTHORS

Eduardo Fernandez, Hoa Do, Eike Luedeling, Thi Thu Giang Luu, Cory Whitney

ABSTRACT

Intervening into agricultural systems necessarily includes risks, uncertainties, and ultimately unknown outcomes. Decision analysis embraces uncertainty through an interdisciplinary approach that involves relevant stakeholders in evaluating complex decisions. We applied decision analysis approaches to prioritize 21 farm management interventions, which could be considered in certification schemes for banana production. We estimated their contribution to climate change adaptation and mitigation as well as ecological outcomes. We used a general model that estimated the impacts of each intervention on adaptation (benefits minus costs), mitigation (global warming potential), ecological parameters (e.g., biodiversity and water and soil quality), and farming aspects (e.g., yield, implementation costs and production risks). We used expert and documented knowledge and presented uncertainties in the form of 90% confidence intervals to feed the model and forecast the changes in system outcomes caused by each intervention compared to a baseline scenario without the measure. By iterating the model function 10,000 times, we obtained probability distributions for each of the outcomes and farm management interventions. Our results suggest that interventions associated with nutrient management (e.g., composting and nutrient management plan) positively affect climate change adaptation, mitigation, and ecological aspects. Measures with no direct yield benefits (e.g., plastic reduction) correlate negatively with adaptation but have positive impacts on ecology. Creating buffer zones and converting low-productivity farmland (incl. unused land) also have positive ecological and adaptation outcomes. Decision analysis can help in prioritizing farm management interventions, which may vary considerably in their relationship with the expected outcomes. Additional work may be required to elaborate a comprehensive assessment of the underlying aspects modulating the impacts of a given measure on the evaluated outcome. Our analysis provides insights on the most promising interventions for banana plantations and may help practitioners and researchers in focusing further studies. More... »

PAGES

76

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s13593-022-00809-0

DOI

http://dx.doi.org/10.1007/s13593-022-00809-0

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1149994660

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/35967891


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

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/2008/05", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Environmental Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0502", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Environmental Science and Management", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Escuela de Agronom\u00eda, Pontificia Universidad Cat\u00f3lica de Valpara\u00edso, Casilla 4-D, Quillota, Chile", 
          "id": "http://www.grid.ac/institutes/grid.8170.e", 
          "name": [
            "Department of Horticultural Sciences, Institute of Crop Science and Resource Conservation (INRES), University of Bonn, 53121, Bonn, Germany", 
            "Escuela de Agronom\u00eda, Pontificia Universidad Cat\u00f3lica de Valpara\u00edso, Casilla 4-D, Quillota, Chile"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fernandez", 
        "givenName": "Eduardo", 
        "id": "sg:person.014570533426.31", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014570533426.31"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Horticultural Sciences, Institute of Crop Science and Resource Conservation (INRES), University of Bonn, 53121, Bonn, Germany", 
          "id": "http://www.grid.ac/institutes/grid.10388.32", 
          "name": [
            "Department of Horticultural Sciences, Institute of Crop Science and Resource Conservation (INRES), University of Bonn, 53121, Bonn, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Do", 
        "givenName": "Hoa", 
        "id": "sg:person.010301266407.08", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010301266407.08"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Horticultural Sciences, Institute of Crop Science and Resource Conservation (INRES), University of Bonn, 53121, Bonn, Germany", 
          "id": "http://www.grid.ac/institutes/grid.10388.32", 
          "name": [
            "Department of Horticultural Sciences, Institute of Crop Science and Resource Conservation (INRES), University of Bonn, 53121, Bonn, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Luedeling", 
        "givenName": "Eike", 
        "id": "sg:person.012561266227.50", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012561266227.50"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Horticultural Sciences, Institute of Crop Science and Resource Conservation (INRES), University of Bonn, 53121, Bonn, Germany", 
          "id": "http://www.grid.ac/institutes/grid.10388.32", 
          "name": [
            "Department of Horticultural Sciences, Institute of Crop Science and Resource Conservation (INRES), University of Bonn, 53121, Bonn, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Luu", 
        "givenName": "Thi Thu Giang", 
        "id": "sg:person.01062762322.59", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01062762322.59"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Horticultural Sciences, Institute of Crop Science and Resource Conservation (INRES), University of Bonn, 53121, Bonn, Germany", 
          "id": "http://www.grid.ac/institutes/grid.10388.32", 
          "name": [
            "Department of Horticultural Sciences, Institute of Crop Science and Resource Conservation (INRES), University of Bonn, 53121, Bonn, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Whitney", 
        "givenName": "Cory", 
        "id": "sg:person.07763667563.59", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07763667563.59"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/523152a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014530504", 
          "https://doi.org/10.1038/523152a"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12116-007-9009-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009278783", 
          "https://doi.org/10.1007/s12116-007-9009-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10584-019-02595-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1123388350", 
          "https://doi.org/10.1007/s10584-019-02595-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s13197-012-0861-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027929616", 
          "https://doi.org/10.1007/s13197-012-0861-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10113-014-0622-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047938755", 
          "https://doi.org/10.1007/s10113-014-0622-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s13280-012-0341-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002810084", 
          "https://doi.org/10.1007/s13280-012-0341-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/s41558-019-0559-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1120764099", 
          "https://doi.org/10.1038/s41558-019-0559-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01048893", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013705852", 
          "https://doi.org/10.1007/bf01048893"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s13593-020-00624-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1128344528", 
          "https://doi.org/10.1007/s13593-020-00624-5"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2022-08-04", 
    "datePublishedReg": "2022-08-04", 
    "description": "Intervening into agricultural systems necessarily includes risks, uncertainties, and ultimately unknown outcomes. Decision analysis embraces uncertainty through an interdisciplinary approach that involves relevant stakeholders in evaluating complex decisions. We applied decision analysis approaches to prioritize 21 farm management interventions, which could be considered in certification schemes for banana production. We estimated their contribution to climate change adaptation and mitigation as well as ecological outcomes. We used a general model that estimated the impacts of each intervention on adaptation (benefits minus costs), mitigation (global warming potential), ecological parameters (e.g., biodiversity and water and soil quality), and farming aspects (e.g., yield, implementation costs and production risks). We used expert and documented knowledge and presented uncertainties in the form of 90% confidence intervals to feed the model and forecast the changes in system outcomes caused by each intervention compared to a baseline scenario without the measure. By iterating the model function 10,000 times, we obtained probability distributions for each of the outcomes and farm management interventions. Our results suggest that interventions associated with nutrient management (e.g., composting and nutrient management plan) positively affect climate change adaptation, mitigation, and ecological aspects. Measures with no direct yield benefits (e.g., plastic reduction) correlate negatively with adaptation but have positive impacts on ecology. Creating buffer zones and converting low-productivity farmland (incl. unused land) also have positive ecological and adaptation outcomes. Decision analysis can help in prioritizing farm management interventions, which may vary considerably in their relationship with the expected outcomes. Additional work may be required to elaborate a comprehensive assessment of the underlying aspects modulating the impacts of a given measure on the evaluated outcome. Our analysis provides insights on the most promising interventions for banana plantations and may help practitioners and researchers in focusing further studies.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s13593-022-00809-0", 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1430196", 
        "issn": [
          "1774-0746", 
          "1773-0155"
        ], 
        "name": "Agronomy for Sustainable Development", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "42"
      }
    ], 
    "keywords": [
      "management interventions", 
      "climate change adaptation", 
      "change adaptation", 
      "banana plantations", 
      "low-productivity farmland", 
      "decision analysis", 
      "ecological outcomes", 
      "nutrient management", 
      "ecological parameters", 
      "buffer zone", 
      "agricultural systems", 
      "ecological aspects", 
      "mitigation outcomes", 
      "baseline scenario", 
      "yield benefits", 
      "certification schemes", 
      "plantations", 
      "mitigation", 
      "comprehensive assessment", 
      "banana production", 
      "relevant stakeholders", 
      "interdisciplinary approach", 
      "farmland", 
      "case study", 
      "impact", 
      "ecology", 
      "adaptation", 
      "adaptation outcomes", 
      "additional work", 
      "positive impact", 
      "system outcomes", 
      "uncertainty", 
      "zone", 
      "management", 
      "stakeholders", 
      "complex decisions", 
      "scenarios", 
      "distribution", 
      "assessment", 
      "general model", 
      "measures", 
      "unknown outcomes", 
      "production", 
      "changes", 
      "aspects", 
      "analysis", 
      "study", 
      "benefits", 
      "contribution", 
      "Further studies", 
      "relationship", 
      "risk", 
      "decisions", 
      "model function", 
      "knowledge", 
      "model", 
      "insights", 
      "approach", 
      "results", 
      "probability distribution", 
      "system", 
      "time", 
      "experts", 
      "parameters", 
      "form", 
      "researchers", 
      "interval", 
      "function", 
      "work", 
      "practitioners", 
      "intervention", 
      "scheme", 
      "outcomes", 
      "confidence intervals", 
      "promising intervention", 
      "evaluated outcomes"
    ], 
    "name": "Prioritizing farm management interventions to improve climate change adaptation and mitigation outcomes\u2014a case study for banana plantations", 
    "pagination": "76", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1149994660"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s13593-022-00809-0"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "35967891"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s13593-022-00809-0", 
      "https://app.dimensions.ai/details/publication/pub.1149994660"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-12-01T06:45", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20221201/entities/gbq_results/article/article_957.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s13593-022-00809-0"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

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/s13593-022-00809-0'

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/s13593-022-00809-0'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s13593-022-00809-0'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s13593-022-00809-0'


 

This table displays all metadata directly associated to this object as RDF triples.

205 TRIPLES      21 PREDICATES      110 URIs      93 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s13593-022-00809-0 schema:about anzsrc-for:05
2 anzsrc-for:0502
3 schema:author N9e976359f5d74bbc9c40e9d4a47dc48f
4 schema:citation sg:pub.10.1007/bf01048893
5 sg:pub.10.1007/s10113-014-0622-z
6 sg:pub.10.1007/s10584-019-02595-3
7 sg:pub.10.1007/s12116-007-9009-1
8 sg:pub.10.1007/s13197-012-0861-2
9 sg:pub.10.1007/s13280-012-0341-y
10 sg:pub.10.1007/s13593-020-00624-5
11 sg:pub.10.1038/523152a
12 sg:pub.10.1038/s41558-019-0559-9
13 schema:datePublished 2022-08-04
14 schema:datePublishedReg 2022-08-04
15 schema:description Intervening into agricultural systems necessarily includes risks, uncertainties, and ultimately unknown outcomes. Decision analysis embraces uncertainty through an interdisciplinary approach that involves relevant stakeholders in evaluating complex decisions. We applied decision analysis approaches to prioritize 21 farm management interventions, which could be considered in certification schemes for banana production. We estimated their contribution to climate change adaptation and mitigation as well as ecological outcomes. We used a general model that estimated the impacts of each intervention on adaptation (benefits minus costs), mitigation (global warming potential), ecological parameters (e.g., biodiversity and water and soil quality), and farming aspects (e.g., yield, implementation costs and production risks). We used expert and documented knowledge and presented uncertainties in the form of 90% confidence intervals to feed the model and forecast the changes in system outcomes caused by each intervention compared to a baseline scenario without the measure. By iterating the model function 10,000 times, we obtained probability distributions for each of the outcomes and farm management interventions. Our results suggest that interventions associated with nutrient management (e.g., composting and nutrient management plan) positively affect climate change adaptation, mitigation, and ecological aspects. Measures with no direct yield benefits (e.g., plastic reduction) correlate negatively with adaptation but have positive impacts on ecology. Creating buffer zones and converting low-productivity farmland (incl. unused land) also have positive ecological and adaptation outcomes. Decision analysis can help in prioritizing farm management interventions, which may vary considerably in their relationship with the expected outcomes. Additional work may be required to elaborate a comprehensive assessment of the underlying aspects modulating the impacts of a given measure on the evaluated outcome. Our analysis provides insights on the most promising interventions for banana plantations and may help practitioners and researchers in focusing further studies.
16 schema:genre article
17 schema:isAccessibleForFree true
18 schema:isPartOf N3c32661a138a4dfc8805880622729c32
19 Nfdd8544329e345d68a77f146d869bf30
20 sg:journal.1430196
21 schema:keywords Further studies
22 adaptation
23 adaptation outcomes
24 additional work
25 agricultural systems
26 analysis
27 approach
28 aspects
29 assessment
30 banana plantations
31 banana production
32 baseline scenario
33 benefits
34 buffer zone
35 case study
36 certification schemes
37 change adaptation
38 changes
39 climate change adaptation
40 complex decisions
41 comprehensive assessment
42 confidence intervals
43 contribution
44 decision analysis
45 decisions
46 distribution
47 ecological aspects
48 ecological outcomes
49 ecological parameters
50 ecology
51 evaluated outcomes
52 experts
53 farmland
54 form
55 function
56 general model
57 impact
58 insights
59 interdisciplinary approach
60 interval
61 intervention
62 knowledge
63 low-productivity farmland
64 management
65 management interventions
66 measures
67 mitigation
68 mitigation outcomes
69 model
70 model function
71 nutrient management
72 outcomes
73 parameters
74 plantations
75 positive impact
76 practitioners
77 probability distribution
78 production
79 promising intervention
80 relationship
81 relevant stakeholders
82 researchers
83 results
84 risk
85 scenarios
86 scheme
87 stakeholders
88 study
89 system
90 system outcomes
91 time
92 uncertainty
93 unknown outcomes
94 work
95 yield benefits
96 zone
97 schema:name Prioritizing farm management interventions to improve climate change adaptation and mitigation outcomes—a case study for banana plantations
98 schema:pagination 76
99 schema:productId N3b5ec041975f47ebaa9d96eebaa04a90
100 Naa37a4766d034a04be52108afc0126ac
101 Nd3755b3c22f449ba803a477a225ebf68
102 schema:sameAs https://app.dimensions.ai/details/publication/pub.1149994660
103 https://doi.org/10.1007/s13593-022-00809-0
104 schema:sdDatePublished 2022-12-01T06:45
105 schema:sdLicense https://scigraph.springernature.com/explorer/license/
106 schema:sdPublisher N07f4e39be3e94390bb0ba0a3386d8f73
107 schema:url https://doi.org/10.1007/s13593-022-00809-0
108 sgo:license sg:explorer/license/
109 sgo:sdDataset articles
110 rdf:type schema:ScholarlyArticle
111 N07f4e39be3e94390bb0ba0a3386d8f73 schema:name Springer Nature - SN SciGraph project
112 rdf:type schema:Organization
113 N3b5ec041975f47ebaa9d96eebaa04a90 schema:name doi
114 schema:value 10.1007/s13593-022-00809-0
115 rdf:type schema:PropertyValue
116 N3c32661a138a4dfc8805880622729c32 schema:volumeNumber 42
117 rdf:type schema:PublicationVolume
118 N8dd9d717d58b43799f72f6039f7c6f64 rdf:first sg:person.07763667563.59
119 rdf:rest rdf:nil
120 N8ee64e037f4a4e37b41a0aec2570551b rdf:first sg:person.01062762322.59
121 rdf:rest N8dd9d717d58b43799f72f6039f7c6f64
122 N9e976359f5d74bbc9c40e9d4a47dc48f rdf:first sg:person.014570533426.31
123 rdf:rest Nb2229efdcb3445f69170edfc38a64dc3
124 Naa37a4766d034a04be52108afc0126ac schema:name dimensions_id
125 schema:value pub.1149994660
126 rdf:type schema:PropertyValue
127 Nb2229efdcb3445f69170edfc38a64dc3 rdf:first sg:person.010301266407.08
128 rdf:rest Nced20de5d22d40daabfb59c7159c9452
129 Nced20de5d22d40daabfb59c7159c9452 rdf:first sg:person.012561266227.50
130 rdf:rest N8ee64e037f4a4e37b41a0aec2570551b
131 Nd3755b3c22f449ba803a477a225ebf68 schema:name pubmed_id
132 schema:value 35967891
133 rdf:type schema:PropertyValue
134 Nfdd8544329e345d68a77f146d869bf30 schema:issueNumber 4
135 rdf:type schema:PublicationIssue
136 anzsrc-for:05 schema:inDefinedTermSet anzsrc-for:
137 schema:name Environmental Sciences
138 rdf:type schema:DefinedTerm
139 anzsrc-for:0502 schema:inDefinedTermSet anzsrc-for:
140 schema:name Environmental Science and Management
141 rdf:type schema:DefinedTerm
142 sg:journal.1430196 schema:issn 1773-0155
143 1774-0746
144 schema:name Agronomy for Sustainable Development
145 schema:publisher Springer Nature
146 rdf:type schema:Periodical
147 sg:person.010301266407.08 schema:affiliation grid-institutes:grid.10388.32
148 schema:familyName Do
149 schema:givenName Hoa
150 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010301266407.08
151 rdf:type schema:Person
152 sg:person.01062762322.59 schema:affiliation grid-institutes:grid.10388.32
153 schema:familyName Luu
154 schema:givenName Thi Thu Giang
155 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01062762322.59
156 rdf:type schema:Person
157 sg:person.012561266227.50 schema:affiliation grid-institutes:grid.10388.32
158 schema:familyName Luedeling
159 schema:givenName Eike
160 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012561266227.50
161 rdf:type schema:Person
162 sg:person.014570533426.31 schema:affiliation grid-institutes:grid.8170.e
163 schema:familyName Fernandez
164 schema:givenName Eduardo
165 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014570533426.31
166 rdf:type schema:Person
167 sg:person.07763667563.59 schema:affiliation grid-institutes:grid.10388.32
168 schema:familyName Whitney
169 schema:givenName Cory
170 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07763667563.59
171 rdf:type schema:Person
172 sg:pub.10.1007/bf01048893 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013705852
173 https://doi.org/10.1007/bf01048893
174 rdf:type schema:CreativeWork
175 sg:pub.10.1007/s10113-014-0622-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1047938755
176 https://doi.org/10.1007/s10113-014-0622-z
177 rdf:type schema:CreativeWork
178 sg:pub.10.1007/s10584-019-02595-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1123388350
179 https://doi.org/10.1007/s10584-019-02595-3
180 rdf:type schema:CreativeWork
181 sg:pub.10.1007/s12116-007-9009-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009278783
182 https://doi.org/10.1007/s12116-007-9009-1
183 rdf:type schema:CreativeWork
184 sg:pub.10.1007/s13197-012-0861-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027929616
185 https://doi.org/10.1007/s13197-012-0861-2
186 rdf:type schema:CreativeWork
187 sg:pub.10.1007/s13280-012-0341-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1002810084
188 https://doi.org/10.1007/s13280-012-0341-y
189 rdf:type schema:CreativeWork
190 sg:pub.10.1007/s13593-020-00624-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1128344528
191 https://doi.org/10.1007/s13593-020-00624-5
192 rdf:type schema:CreativeWork
193 sg:pub.10.1038/523152a schema:sameAs https://app.dimensions.ai/details/publication/pub.1014530504
194 https://doi.org/10.1038/523152a
195 rdf:type schema:CreativeWork
196 sg:pub.10.1038/s41558-019-0559-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1120764099
197 https://doi.org/10.1038/s41558-019-0559-9
198 rdf:type schema:CreativeWork
199 grid-institutes:grid.10388.32 schema:alternateName Department of Horticultural Sciences, Institute of Crop Science and Resource Conservation (INRES), University of Bonn, 53121, Bonn, Germany
200 schema:name Department of Horticultural Sciences, Institute of Crop Science and Resource Conservation (INRES), University of Bonn, 53121, Bonn, Germany
201 rdf:type schema:Organization
202 grid-institutes:grid.8170.e schema:alternateName Escuela de Agronomía, Pontificia Universidad Católica de Valparaíso, Casilla 4-D, Quillota, Chile
203 schema:name Department of Horticultural Sciences, Institute of Crop Science and Resource Conservation (INRES), University of Bonn, 53121, Bonn, Germany
204 Escuela de Agronomía, Pontificia Universidad Católica de Valparaíso, Casilla 4-D, Quillota, Chile
205 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...