How models can support management solutions to sustain coral reef ecosystem services (Online first)
Despite the importance of coral reef ecosystems to the social and economic welfare of coastal communities, the condition of these marine ecosystems have generally degraded over the past decades. With an increased knowledge of coral reef ecosystem processes and a rise in computer power, dynamic model...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Janssen, A.B.G [verfasserIn] |
|---|
| Format: |
Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2015 |
|---|
| Schlagwörter: |
Leerstoelgroep Milieusysteemanalyse Environmental Systems Analysis Group |
|---|
| Übergeordnetes Werk: |
Enthalten in: Progress in oceanography - Oxford [u.a.] : Pergamon Press, 1963, (2015) |
|---|---|
| Übergeordnetes Werk: |
year:2015 |
| Links: |
|---|
| Katalog-ID: |
OLC1966809387 |
|---|
| LEADER | 01000caa a2200265 4500 | ||
|---|---|---|---|
| 001 | OLC1966809387 | ||
| 003 | DE-627 | ||
| 005 | 20230714165923.0 | ||
| 007 | tu | ||
| 008 | 160206s2015 xx ||||| 00| ||eng c | ||
| 028 | 5 | 2 | |a PQ20160617 |
| 035 | |a (DE-627)OLC1966809387 | ||
| 035 | |a (DE-599)GBVOLC1966809387 | ||
| 035 | |a (PRQ)narcis_primary_wur_oai_library_wur_nl_wurpubs_4832970 | ||
| 035 | |a (KEY)0063606120150000000000000000howmodelscansupportmanagementsolutionstosustaincor | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | 4 | |a 550 |q DNB |
| 100 | 1 | |a Janssen, A.B.G |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a How models can support management solutions to sustain coral reef ecosystem services (Online first) |
| 264 | 1 | |c 2015 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ohne Hilfsmittel zu benutzen |b n |2 rdamedia | ||
| 338 | |a Band |b nc |2 rdacarrier | ||
| 520 | |a Despite the importance of coral reef ecosystems to the social and economic welfare of coastal communities, the condition of these marine ecosystems have generally degraded over the past decades. With an increased knowledge of coral reef ecosystem processes and a rise in computer power, dynamic models are useful tools in assessing the synergistic effects of local and global stressors on ecosystem functions. We review representative approaches for dynamically modelling coral reef ecosystems and categorize them as minimal, intermediate and complex models. The categorization was based on the leading principle for model development and their level of realism and process detail. This review aims to improve the knowledge of concurrent approaches in coral reef ecosystem modeling and highlights the importance of choosing an appropriate approach based on the type of question(s) to be answered. We contend that minimal and intermediate models are generally valuable tools to assess the response of key states to main stressors and, hence, contribute to understanding ecological surprises. As has been shown in freshwater resources management, insight into these conceptual relations profoundly influences how natural resource managers perceive their systems and how they manage ecosystem recovery. We argue that adaptive resource management requires integrated thinking and decision support, which demands a diversity of modeling approaches. Integration can be achieved through complimentary use of models or through integrated models that systemically combine all relevant aspects in one model. Such whole-of-system models can be useful tools for quantitatively evaluating scenarios. These models allow an assessment of the interactive effects of multiple stressors on various, potentially conflicting, management objectives. All models simplify reality and, as such, have their weaknesses. While minimal models lack multidimensionality, system models are likely difficult to interpret as they require many efforts to decipher the numerous interactions and feedback loops. Given the breadth of questions to be tackled when dealing with coral reefs, the best practice approach uses multiple model types and thus benefits from the strength of different models types. | ||
| 650 | 4 | |a Leerstoelgroep Milieusysteemanalyse | |
| 650 | 4 | |a Environmental Systems Analysis Group | |
| 650 | 4 | |a Leerstoelgroep Aquatische ecologie en waterkwaliteitsbeheer | |
| 650 | 4 | |a Aquatic Ecology and Water Quality Management | |
| 700 | 1 | |a Kuiper, J.J |4 oth | |
| 700 | 1 | |a Leemput, van de, I.A |4 oth | |
| 700 | 1 | |a Weijerman, M.W |4 oth | |
| 700 | 1 | |a Leemans, R |4 oth | |
| 700 | 1 | |a Fulton, E.A |4 oth | |
| 700 | 1 | |a Mooij, W.M |4 oth | |
| 773 | 0 | 8 | |i Enthalten in |t Progress in oceanography |d Oxford [u.a.] : Pergamon Press, 1963 |g (2015) |w (DE-627)129084077 |w (DE-600)4062-9 |w (DE-576)014417464 |x 0079-6611 |7 nnns |
| 773 | 1 | 8 | |g year:2015 |
| 856 | 4 | 2 | |u http://library.wur.nl/WebQuery/wurpubs/483297 |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a SYSFLAG_A | ||
| 912 | |a GBV_OLC | ||
| 912 | |a SSG-OLC-GEO | ||
| 912 | |a SSG-OPC-GGO | ||
| 912 | |a GBV_ILN_21 | ||
| 912 | |a GBV_ILN_62 | ||
| 912 | |a GBV_ILN_70 | ||
| 912 | |a GBV_ILN_600 | ||
| 951 | |a AR | ||
| 952 | |j 2015 | ||
| author_variant |
a j aj |
|---|---|
| matchkey_str |
article:00796611:2015----::omdlcnuprmngmnsltosouticrlefcss |
| hierarchy_sort_str |
2015 |
| publishDate |
2015 |
| allfields |
PQ20160617 (DE-627)OLC1966809387 (DE-599)GBVOLC1966809387 (PRQ)narcis_primary_wur_oai_library_wur_nl_wurpubs_4832970 (KEY)0063606120150000000000000000howmodelscansupportmanagementsolutionstosustaincor DE-627 ger DE-627 rakwb eng 550 DNB Janssen, A.B.G verfasserin aut How models can support management solutions to sustain coral reef ecosystem services (Online first) 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Despite the importance of coral reef ecosystems to the social and economic welfare of coastal communities, the condition of these marine ecosystems have generally degraded over the past decades. With an increased knowledge of coral reef ecosystem processes and a rise in computer power, dynamic models are useful tools in assessing the synergistic effects of local and global stressors on ecosystem functions. We review representative approaches for dynamically modelling coral reef ecosystems and categorize them as minimal, intermediate and complex models. The categorization was based on the leading principle for model development and their level of realism and process detail. This review aims to improve the knowledge of concurrent approaches in coral reef ecosystem modeling and highlights the importance of choosing an appropriate approach based on the type of question(s) to be answered. We contend that minimal and intermediate models are generally valuable tools to assess the response of key states to main stressors and, hence, contribute to understanding ecological surprises. As has been shown in freshwater resources management, insight into these conceptual relations profoundly influences how natural resource managers perceive their systems and how they manage ecosystem recovery. We argue that adaptive resource management requires integrated thinking and decision support, which demands a diversity of modeling approaches. Integration can be achieved through complimentary use of models or through integrated models that systemically combine all relevant aspects in one model. Such whole-of-system models can be useful tools for quantitatively evaluating scenarios. These models allow an assessment of the interactive effects of multiple stressors on various, potentially conflicting, management objectives. All models simplify reality and, as such, have their weaknesses. While minimal models lack multidimensionality, system models are likely difficult to interpret as they require many efforts to decipher the numerous interactions and feedback loops. Given the breadth of questions to be tackled when dealing with coral reefs, the best practice approach uses multiple model types and thus benefits from the strength of different models types. Leerstoelgroep Milieusysteemanalyse Environmental Systems Analysis Group Leerstoelgroep Aquatische ecologie en waterkwaliteitsbeheer Aquatic Ecology and Water Quality Management Kuiper, J.J oth Leemput, van de, I.A oth Weijerman, M.W oth Leemans, R oth Fulton, E.A oth Mooij, W.M oth Enthalten in Progress in oceanography Oxford [u.a.] : Pergamon Press, 1963 (2015) (DE-627)129084077 (DE-600)4062-9 (DE-576)014417464 0079-6611 nnns year:2015 http://library.wur.nl/WebQuery/wurpubs/483297 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO SSG-OPC-GGO GBV_ILN_21 GBV_ILN_62 GBV_ILN_70 GBV_ILN_600 AR 2015 |
| spelling |
PQ20160617 (DE-627)OLC1966809387 (DE-599)GBVOLC1966809387 (PRQ)narcis_primary_wur_oai_library_wur_nl_wurpubs_4832970 (KEY)0063606120150000000000000000howmodelscansupportmanagementsolutionstosustaincor DE-627 ger DE-627 rakwb eng 550 DNB Janssen, A.B.G verfasserin aut How models can support management solutions to sustain coral reef ecosystem services (Online first) 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Despite the importance of coral reef ecosystems to the social and economic welfare of coastal communities, the condition of these marine ecosystems have generally degraded over the past decades. With an increased knowledge of coral reef ecosystem processes and a rise in computer power, dynamic models are useful tools in assessing the synergistic effects of local and global stressors on ecosystem functions. We review representative approaches for dynamically modelling coral reef ecosystems and categorize them as minimal, intermediate and complex models. The categorization was based on the leading principle for model development and their level of realism and process detail. This review aims to improve the knowledge of concurrent approaches in coral reef ecosystem modeling and highlights the importance of choosing an appropriate approach based on the type of question(s) to be answered. We contend that minimal and intermediate models are generally valuable tools to assess the response of key states to main stressors and, hence, contribute to understanding ecological surprises. As has been shown in freshwater resources management, insight into these conceptual relations profoundly influences how natural resource managers perceive their systems and how they manage ecosystem recovery. We argue that adaptive resource management requires integrated thinking and decision support, which demands a diversity of modeling approaches. Integration can be achieved through complimentary use of models or through integrated models that systemically combine all relevant aspects in one model. Such whole-of-system models can be useful tools for quantitatively evaluating scenarios. These models allow an assessment of the interactive effects of multiple stressors on various, potentially conflicting, management objectives. All models simplify reality and, as such, have their weaknesses. While minimal models lack multidimensionality, system models are likely difficult to interpret as they require many efforts to decipher the numerous interactions and feedback loops. Given the breadth of questions to be tackled when dealing with coral reefs, the best practice approach uses multiple model types and thus benefits from the strength of different models types. Leerstoelgroep Milieusysteemanalyse Environmental Systems Analysis Group Leerstoelgroep Aquatische ecologie en waterkwaliteitsbeheer Aquatic Ecology and Water Quality Management Kuiper, J.J oth Leemput, van de, I.A oth Weijerman, M.W oth Leemans, R oth Fulton, E.A oth Mooij, W.M oth Enthalten in Progress in oceanography Oxford [u.a.] : Pergamon Press, 1963 (2015) (DE-627)129084077 (DE-600)4062-9 (DE-576)014417464 0079-6611 nnns year:2015 http://library.wur.nl/WebQuery/wurpubs/483297 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO SSG-OPC-GGO GBV_ILN_21 GBV_ILN_62 GBV_ILN_70 GBV_ILN_600 AR 2015 |
| allfields_unstemmed |
PQ20160617 (DE-627)OLC1966809387 (DE-599)GBVOLC1966809387 (PRQ)narcis_primary_wur_oai_library_wur_nl_wurpubs_4832970 (KEY)0063606120150000000000000000howmodelscansupportmanagementsolutionstosustaincor DE-627 ger DE-627 rakwb eng 550 DNB Janssen, A.B.G verfasserin aut How models can support management solutions to sustain coral reef ecosystem services (Online first) 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Despite the importance of coral reef ecosystems to the social and economic welfare of coastal communities, the condition of these marine ecosystems have generally degraded over the past decades. With an increased knowledge of coral reef ecosystem processes and a rise in computer power, dynamic models are useful tools in assessing the synergistic effects of local and global stressors on ecosystem functions. We review representative approaches for dynamically modelling coral reef ecosystems and categorize them as minimal, intermediate and complex models. The categorization was based on the leading principle for model development and their level of realism and process detail. This review aims to improve the knowledge of concurrent approaches in coral reef ecosystem modeling and highlights the importance of choosing an appropriate approach based on the type of question(s) to be answered. We contend that minimal and intermediate models are generally valuable tools to assess the response of key states to main stressors and, hence, contribute to understanding ecological surprises. As has been shown in freshwater resources management, insight into these conceptual relations profoundly influences how natural resource managers perceive their systems and how they manage ecosystem recovery. We argue that adaptive resource management requires integrated thinking and decision support, which demands a diversity of modeling approaches. Integration can be achieved through complimentary use of models or through integrated models that systemically combine all relevant aspects in one model. Such whole-of-system models can be useful tools for quantitatively evaluating scenarios. These models allow an assessment of the interactive effects of multiple stressors on various, potentially conflicting, management objectives. All models simplify reality and, as such, have their weaknesses. While minimal models lack multidimensionality, system models are likely difficult to interpret as they require many efforts to decipher the numerous interactions and feedback loops. Given the breadth of questions to be tackled when dealing with coral reefs, the best practice approach uses multiple model types and thus benefits from the strength of different models types. Leerstoelgroep Milieusysteemanalyse Environmental Systems Analysis Group Leerstoelgroep Aquatische ecologie en waterkwaliteitsbeheer Aquatic Ecology and Water Quality Management Kuiper, J.J oth Leemput, van de, I.A oth Weijerman, M.W oth Leemans, R oth Fulton, E.A oth Mooij, W.M oth Enthalten in Progress in oceanography Oxford [u.a.] : Pergamon Press, 1963 (2015) (DE-627)129084077 (DE-600)4062-9 (DE-576)014417464 0079-6611 nnns year:2015 http://library.wur.nl/WebQuery/wurpubs/483297 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO SSG-OPC-GGO GBV_ILN_21 GBV_ILN_62 GBV_ILN_70 GBV_ILN_600 AR 2015 |
| allfieldsGer |
PQ20160617 (DE-627)OLC1966809387 (DE-599)GBVOLC1966809387 (PRQ)narcis_primary_wur_oai_library_wur_nl_wurpubs_4832970 (KEY)0063606120150000000000000000howmodelscansupportmanagementsolutionstosustaincor DE-627 ger DE-627 rakwb eng 550 DNB Janssen, A.B.G verfasserin aut How models can support management solutions to sustain coral reef ecosystem services (Online first) 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Despite the importance of coral reef ecosystems to the social and economic welfare of coastal communities, the condition of these marine ecosystems have generally degraded over the past decades. With an increased knowledge of coral reef ecosystem processes and a rise in computer power, dynamic models are useful tools in assessing the synergistic effects of local and global stressors on ecosystem functions. We review representative approaches for dynamically modelling coral reef ecosystems and categorize them as minimal, intermediate and complex models. The categorization was based on the leading principle for model development and their level of realism and process detail. This review aims to improve the knowledge of concurrent approaches in coral reef ecosystem modeling and highlights the importance of choosing an appropriate approach based on the type of question(s) to be answered. We contend that minimal and intermediate models are generally valuable tools to assess the response of key states to main stressors and, hence, contribute to understanding ecological surprises. As has been shown in freshwater resources management, insight into these conceptual relations profoundly influences how natural resource managers perceive their systems and how they manage ecosystem recovery. We argue that adaptive resource management requires integrated thinking and decision support, which demands a diversity of modeling approaches. Integration can be achieved through complimentary use of models or through integrated models that systemically combine all relevant aspects in one model. Such whole-of-system models can be useful tools for quantitatively evaluating scenarios. These models allow an assessment of the interactive effects of multiple stressors on various, potentially conflicting, management objectives. All models simplify reality and, as such, have their weaknesses. While minimal models lack multidimensionality, system models are likely difficult to interpret as they require many efforts to decipher the numerous interactions and feedback loops. Given the breadth of questions to be tackled when dealing with coral reefs, the best practice approach uses multiple model types and thus benefits from the strength of different models types. Leerstoelgroep Milieusysteemanalyse Environmental Systems Analysis Group Leerstoelgroep Aquatische ecologie en waterkwaliteitsbeheer Aquatic Ecology and Water Quality Management Kuiper, J.J oth Leemput, van de, I.A oth Weijerman, M.W oth Leemans, R oth Fulton, E.A oth Mooij, W.M oth Enthalten in Progress in oceanography Oxford [u.a.] : Pergamon Press, 1963 (2015) (DE-627)129084077 (DE-600)4062-9 (DE-576)014417464 0079-6611 nnns year:2015 http://library.wur.nl/WebQuery/wurpubs/483297 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO SSG-OPC-GGO GBV_ILN_21 GBV_ILN_62 GBV_ILN_70 GBV_ILN_600 AR 2015 |
| allfieldsSound |
PQ20160617 (DE-627)OLC1966809387 (DE-599)GBVOLC1966809387 (PRQ)narcis_primary_wur_oai_library_wur_nl_wurpubs_4832970 (KEY)0063606120150000000000000000howmodelscansupportmanagementsolutionstosustaincor DE-627 ger DE-627 rakwb eng 550 DNB Janssen, A.B.G verfasserin aut How models can support management solutions to sustain coral reef ecosystem services (Online first) 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Despite the importance of coral reef ecosystems to the social and economic welfare of coastal communities, the condition of these marine ecosystems have generally degraded over the past decades. With an increased knowledge of coral reef ecosystem processes and a rise in computer power, dynamic models are useful tools in assessing the synergistic effects of local and global stressors on ecosystem functions. We review representative approaches for dynamically modelling coral reef ecosystems and categorize them as minimal, intermediate and complex models. The categorization was based on the leading principle for model development and their level of realism and process detail. This review aims to improve the knowledge of concurrent approaches in coral reef ecosystem modeling and highlights the importance of choosing an appropriate approach based on the type of question(s) to be answered. We contend that minimal and intermediate models are generally valuable tools to assess the response of key states to main stressors and, hence, contribute to understanding ecological surprises. As has been shown in freshwater resources management, insight into these conceptual relations profoundly influences how natural resource managers perceive their systems and how they manage ecosystem recovery. We argue that adaptive resource management requires integrated thinking and decision support, which demands a diversity of modeling approaches. Integration can be achieved through complimentary use of models or through integrated models that systemically combine all relevant aspects in one model. Such whole-of-system models can be useful tools for quantitatively evaluating scenarios. These models allow an assessment of the interactive effects of multiple stressors on various, potentially conflicting, management objectives. All models simplify reality and, as such, have their weaknesses. While minimal models lack multidimensionality, system models are likely difficult to interpret as they require many efforts to decipher the numerous interactions and feedback loops. Given the breadth of questions to be tackled when dealing with coral reefs, the best practice approach uses multiple model types and thus benefits from the strength of different models types. Leerstoelgroep Milieusysteemanalyse Environmental Systems Analysis Group Leerstoelgroep Aquatische ecologie en waterkwaliteitsbeheer Aquatic Ecology and Water Quality Management Kuiper, J.J oth Leemput, van de, I.A oth Weijerman, M.W oth Leemans, R oth Fulton, E.A oth Mooij, W.M oth Enthalten in Progress in oceanography Oxford [u.a.] : Pergamon Press, 1963 (2015) (DE-627)129084077 (DE-600)4062-9 (DE-576)014417464 0079-6611 nnns year:2015 http://library.wur.nl/WebQuery/wurpubs/483297 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO SSG-OPC-GGO GBV_ILN_21 GBV_ILN_62 GBV_ILN_70 GBV_ILN_600 AR 2015 |
| language |
English |
| source |
Enthalten in Progress in oceanography (2015) year:2015 |
| sourceStr |
Enthalten in Progress in oceanography (2015) year:2015 |
| format_phy_str_mv |
Article |
| institution |
findex.gbv.de |
| topic_facet |
Leerstoelgroep Milieusysteemanalyse Environmental Systems Analysis Group Leerstoelgroep Aquatische ecologie en waterkwaliteitsbeheer Aquatic Ecology and Water Quality Management |
| dewey-raw |
550 |
| isfreeaccess_bool |
false |
| container_title |
Progress in oceanography |
| authorswithroles_txt_mv |
Janssen, A.B.G @@aut@@ Kuiper, J.J @@oth@@ Leemput, van de, I.A @@oth@@ Weijerman, M.W @@oth@@ Leemans, R @@oth@@ Fulton, E.A @@oth@@ Mooij, W.M @@oth@@ |
| publishDateDaySort_date |
2015-01-01T00:00:00Z |
| hierarchy_top_id |
129084077 |
| dewey-sort |
3550 |
| id |
OLC1966809387 |
| language_de |
englisch |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a2200265 4500</leader><controlfield tag="001">OLC1966809387</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230714165923.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">160206s2015 xx ||||| 00| ||eng c</controlfield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">PQ20160617</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC1966809387</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)GBVOLC1966809387</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(PRQ)narcis_primary_wur_oai_library_wur_nl_wurpubs_4832970</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(KEY)0063606120150000000000000000howmodelscansupportmanagementsolutionstosustaincor</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">550</subfield><subfield code="q">DNB</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Janssen, A.B.G</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">How models can support management solutions to sustain coral reef ecosystem services (Online first)</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2015</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Despite the importance of coral reef ecosystems to the social and economic welfare of coastal communities, the condition of these marine ecosystems have generally degraded over the past decades. With an increased knowledge of coral reef ecosystem processes and a rise in computer power, dynamic models are useful tools in assessing the synergistic effects of local and global stressors on ecosystem functions. We review representative approaches for dynamically modelling coral reef ecosystems and categorize them as minimal, intermediate and complex models. The categorization was based on the leading principle for model development and their level of realism and process detail. This review aims to improve the knowledge of concurrent approaches in coral reef ecosystem modeling and highlights the importance of choosing an appropriate approach based on the type of question(s) to be answered. We contend that minimal and intermediate models are generally valuable tools to assess the response of key states to main stressors and, hence, contribute to understanding ecological surprises. As has been shown in freshwater resources management, insight into these conceptual relations profoundly influences how natural resource managers perceive their systems and how they manage ecosystem recovery. We argue that adaptive resource management requires integrated thinking and decision support, which demands a diversity of modeling approaches. Integration can be achieved through complimentary use of models or through integrated models that systemically combine all relevant aspects in one model. Such whole-of-system models can be useful tools for quantitatively evaluating scenarios. These models allow an assessment of the interactive effects of multiple stressors on various, potentially conflicting, management objectives. All models simplify reality and, as such, have their weaknesses. While minimal models lack multidimensionality, system models are likely difficult to interpret as they require many efforts to decipher the numerous interactions and feedback loops. Given the breadth of questions to be tackled when dealing with coral reefs, the best practice approach uses multiple model types and thus benefits from the strength of different models types.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Leerstoelgroep Milieusysteemanalyse</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Environmental Systems Analysis Group</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Leerstoelgroep Aquatische ecologie en waterkwaliteitsbeheer</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Aquatic Ecology and Water Quality Management</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kuiper, J.J</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Leemput, van de, I.A</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Weijerman, M.W</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Leemans, R</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Fulton, E.A</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Mooij, W.M</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Progress in oceanography</subfield><subfield code="d">Oxford [u.a.] : Pergamon Press, 1963</subfield><subfield code="g">(2015)</subfield><subfield code="w">(DE-627)129084077</subfield><subfield code="w">(DE-600)4062-9</subfield><subfield code="w">(DE-576)014417464</subfield><subfield code="x">0079-6611</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">year:2015</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">http://library.wur.nl/WebQuery/wurpubs/483297</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-GEO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-GGO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_21</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_600</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="j">2015</subfield></datafield></record></collection>
|
| author |
Janssen, A.B.G |
| spellingShingle |
Janssen, A.B.G ddc 550 misc Leerstoelgroep Milieusysteemanalyse misc Environmental Systems Analysis Group misc Leerstoelgroep Aquatische ecologie en waterkwaliteitsbeheer misc Aquatic Ecology and Water Quality Management How models can support management solutions to sustain coral reef ecosystem services (Online first) |
| authorStr |
Janssen, A.B.G |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)129084077 |
| format |
Article |
| dewey-ones |
550 - Earth sciences |
| delete_txt_mv |
keep |
| author_role |
aut |
| collection |
OLC |
| remote_str |
false |
| illustrated |
Not Illustrated |
| issn |
0079-6611 |
| topic_title |
550 DNB How models can support management solutions to sustain coral reef ecosystem services (Online first) Leerstoelgroep Milieusysteemanalyse Environmental Systems Analysis Group Leerstoelgroep Aquatische ecologie en waterkwaliteitsbeheer Aquatic Ecology and Water Quality Management |
| topic |
ddc 550 misc Leerstoelgroep Milieusysteemanalyse misc Environmental Systems Analysis Group misc Leerstoelgroep Aquatische ecologie en waterkwaliteitsbeheer misc Aquatic Ecology and Water Quality Management |
| topic_unstemmed |
ddc 550 misc Leerstoelgroep Milieusysteemanalyse misc Environmental Systems Analysis Group misc Leerstoelgroep Aquatische ecologie en waterkwaliteitsbeheer misc Aquatic Ecology and Water Quality Management |
| topic_browse |
ddc 550 misc Leerstoelgroep Milieusysteemanalyse misc Environmental Systems Analysis Group misc Leerstoelgroep Aquatische ecologie en waterkwaliteitsbeheer misc Aquatic Ecology and Water Quality Management |
| format_facet |
Aufsätze Gedruckte Aufsätze |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
nc |
| author2_variant |
j k jk v d i l vdi vdil m w mw r l rl e f ef w m wm |
| hierarchy_parent_title |
Progress in oceanography |
| hierarchy_parent_id |
129084077 |
| dewey-tens |
550 - Earth sciences & geology |
| hierarchy_top_title |
Progress in oceanography |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)129084077 (DE-600)4062-9 (DE-576)014417464 |
| title |
How models can support management solutions to sustain coral reef ecosystem services (Online first) |
| ctrlnum |
(DE-627)OLC1966809387 (DE-599)GBVOLC1966809387 (PRQ)narcis_primary_wur_oai_library_wur_nl_wurpubs_4832970 (KEY)0063606120150000000000000000howmodelscansupportmanagementsolutionstosustaincor |
| title_full |
How models can support management solutions to sustain coral reef ecosystem services (Online first) |
| author_sort |
Janssen, A.B.G |
| journal |
Progress in oceanography |
| journalStr |
Progress in oceanography |
| lang_code |
eng |
| isOA_bool |
false |
| dewey-hundreds |
500 - Science |
| recordtype |
marc |
| publishDateSort |
2015 |
| contenttype_str_mv |
txt |
| author_browse |
Janssen, A.B.G |
| class |
550 DNB |
| format_se |
Aufsätze |
| author-letter |
Janssen, A.B.G |
| dewey-full |
550 |
| title_sort |
how models can support management solutions to sustain coral reef ecosystem services (online first) |
| title_auth |
How models can support management solutions to sustain coral reef ecosystem services (Online first) |
| abstract |
Despite the importance of coral reef ecosystems to the social and economic welfare of coastal communities, the condition of these marine ecosystems have generally degraded over the past decades. With an increased knowledge of coral reef ecosystem processes and a rise in computer power, dynamic models are useful tools in assessing the synergistic effects of local and global stressors on ecosystem functions. We review representative approaches for dynamically modelling coral reef ecosystems and categorize them as minimal, intermediate and complex models. The categorization was based on the leading principle for model development and their level of realism and process detail. This review aims to improve the knowledge of concurrent approaches in coral reef ecosystem modeling and highlights the importance of choosing an appropriate approach based on the type of question(s) to be answered. We contend that minimal and intermediate models are generally valuable tools to assess the response of key states to main stressors and, hence, contribute to understanding ecological surprises. As has been shown in freshwater resources management, insight into these conceptual relations profoundly influences how natural resource managers perceive their systems and how they manage ecosystem recovery. We argue that adaptive resource management requires integrated thinking and decision support, which demands a diversity of modeling approaches. Integration can be achieved through complimentary use of models or through integrated models that systemically combine all relevant aspects in one model. Such whole-of-system models can be useful tools for quantitatively evaluating scenarios. These models allow an assessment of the interactive effects of multiple stressors on various, potentially conflicting, management objectives. All models simplify reality and, as such, have their weaknesses. While minimal models lack multidimensionality, system models are likely difficult to interpret as they require many efforts to decipher the numerous interactions and feedback loops. Given the breadth of questions to be tackled when dealing with coral reefs, the best practice approach uses multiple model types and thus benefits from the strength of different models types. |
| abstractGer |
Despite the importance of coral reef ecosystems to the social and economic welfare of coastal communities, the condition of these marine ecosystems have generally degraded over the past decades. With an increased knowledge of coral reef ecosystem processes and a rise in computer power, dynamic models are useful tools in assessing the synergistic effects of local and global stressors on ecosystem functions. We review representative approaches for dynamically modelling coral reef ecosystems and categorize them as minimal, intermediate and complex models. The categorization was based on the leading principle for model development and their level of realism and process detail. This review aims to improve the knowledge of concurrent approaches in coral reef ecosystem modeling and highlights the importance of choosing an appropriate approach based on the type of question(s) to be answered. We contend that minimal and intermediate models are generally valuable tools to assess the response of key states to main stressors and, hence, contribute to understanding ecological surprises. As has been shown in freshwater resources management, insight into these conceptual relations profoundly influences how natural resource managers perceive their systems and how they manage ecosystem recovery. We argue that adaptive resource management requires integrated thinking and decision support, which demands a diversity of modeling approaches. Integration can be achieved through complimentary use of models or through integrated models that systemically combine all relevant aspects in one model. Such whole-of-system models can be useful tools for quantitatively evaluating scenarios. These models allow an assessment of the interactive effects of multiple stressors on various, potentially conflicting, management objectives. All models simplify reality and, as such, have their weaknesses. While minimal models lack multidimensionality, system models are likely difficult to interpret as they require many efforts to decipher the numerous interactions and feedback loops. Given the breadth of questions to be tackled when dealing with coral reefs, the best practice approach uses multiple model types and thus benefits from the strength of different models types. |
| abstract_unstemmed |
Despite the importance of coral reef ecosystems to the social and economic welfare of coastal communities, the condition of these marine ecosystems have generally degraded over the past decades. With an increased knowledge of coral reef ecosystem processes and a rise in computer power, dynamic models are useful tools in assessing the synergistic effects of local and global stressors on ecosystem functions. We review representative approaches for dynamically modelling coral reef ecosystems and categorize them as minimal, intermediate and complex models. The categorization was based on the leading principle for model development and their level of realism and process detail. This review aims to improve the knowledge of concurrent approaches in coral reef ecosystem modeling and highlights the importance of choosing an appropriate approach based on the type of question(s) to be answered. We contend that minimal and intermediate models are generally valuable tools to assess the response of key states to main stressors and, hence, contribute to understanding ecological surprises. As has been shown in freshwater resources management, insight into these conceptual relations profoundly influences how natural resource managers perceive their systems and how they manage ecosystem recovery. We argue that adaptive resource management requires integrated thinking and decision support, which demands a diversity of modeling approaches. Integration can be achieved through complimentary use of models or through integrated models that systemically combine all relevant aspects in one model. Such whole-of-system models can be useful tools for quantitatively evaluating scenarios. These models allow an assessment of the interactive effects of multiple stressors on various, potentially conflicting, management objectives. All models simplify reality and, as such, have their weaknesses. While minimal models lack multidimensionality, system models are likely difficult to interpret as they require many efforts to decipher the numerous interactions and feedback loops. Given the breadth of questions to be tackled when dealing with coral reefs, the best practice approach uses multiple model types and thus benefits from the strength of different models types. |
| collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO SSG-OPC-GGO GBV_ILN_21 GBV_ILN_62 GBV_ILN_70 GBV_ILN_600 |
| title_short |
How models can support management solutions to sustain coral reef ecosystem services (Online first) |
| url |
http://library.wur.nl/WebQuery/wurpubs/483297 |
| remote_bool |
false |
| author2 |
Kuiper, J.J Leemput, van de, I.A Weijerman, M.W Leemans, R Fulton, E.A Mooij, W.M |
| author2Str |
Kuiper, J.J Leemput, van de, I.A Weijerman, M.W Leemans, R Fulton, E.A Mooij, W.M |
| ppnlink |
129084077 |
| mediatype_str_mv |
n |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| author2_role |
oth oth oth oth oth oth |
| up_date |
2024-07-03T22:58:16.443Z |
| _version_ |
1803600523634409472 |
| fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a2200265 4500</leader><controlfield tag="001">OLC1966809387</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230714165923.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">160206s2015 xx ||||| 00| ||eng c</controlfield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">PQ20160617</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC1966809387</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)GBVOLC1966809387</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(PRQ)narcis_primary_wur_oai_library_wur_nl_wurpubs_4832970</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(KEY)0063606120150000000000000000howmodelscansupportmanagementsolutionstosustaincor</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">550</subfield><subfield code="q">DNB</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Janssen, A.B.G</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">How models can support management solutions to sustain coral reef ecosystem services (Online first)</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2015</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Despite the importance of coral reef ecosystems to the social and economic welfare of coastal communities, the condition of these marine ecosystems have generally degraded over the past decades. With an increased knowledge of coral reef ecosystem processes and a rise in computer power, dynamic models are useful tools in assessing the synergistic effects of local and global stressors on ecosystem functions. We review representative approaches for dynamically modelling coral reef ecosystems and categorize them as minimal, intermediate and complex models. The categorization was based on the leading principle for model development and their level of realism and process detail. This review aims to improve the knowledge of concurrent approaches in coral reef ecosystem modeling and highlights the importance of choosing an appropriate approach based on the type of question(s) to be answered. We contend that minimal and intermediate models are generally valuable tools to assess the response of key states to main stressors and, hence, contribute to understanding ecological surprises. As has been shown in freshwater resources management, insight into these conceptual relations profoundly influences how natural resource managers perceive their systems and how they manage ecosystem recovery. We argue that adaptive resource management requires integrated thinking and decision support, which demands a diversity of modeling approaches. Integration can be achieved through complimentary use of models or through integrated models that systemically combine all relevant aspects in one model. Such whole-of-system models can be useful tools for quantitatively evaluating scenarios. These models allow an assessment of the interactive effects of multiple stressors on various, potentially conflicting, management objectives. All models simplify reality and, as such, have their weaknesses. While minimal models lack multidimensionality, system models are likely difficult to interpret as they require many efforts to decipher the numerous interactions and feedback loops. Given the breadth of questions to be tackled when dealing with coral reefs, the best practice approach uses multiple model types and thus benefits from the strength of different models types.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Leerstoelgroep Milieusysteemanalyse</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Environmental Systems Analysis Group</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Leerstoelgroep Aquatische ecologie en waterkwaliteitsbeheer</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Aquatic Ecology and Water Quality Management</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kuiper, J.J</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Leemput, van de, I.A</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Weijerman, M.W</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Leemans, R</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Fulton, E.A</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Mooij, W.M</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Progress in oceanography</subfield><subfield code="d">Oxford [u.a.] : Pergamon Press, 1963</subfield><subfield code="g">(2015)</subfield><subfield code="w">(DE-627)129084077</subfield><subfield code="w">(DE-600)4062-9</subfield><subfield code="w">(DE-576)014417464</subfield><subfield code="x">0079-6611</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">year:2015</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">http://library.wur.nl/WebQuery/wurpubs/483297</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-GEO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-GGO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_21</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_600</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="j">2015</subfield></datafield></record></collection>
|
| score |
7.4011583 |