Coastal geomorphic chronosequences across broad spatiotemporal scales. Metrical observations from the Cape Verde hotspot
The study of the coastal landscapes of hotspot oceanic islands through comprehensive structural metrics and ecological estimators represents an opportunity to explore geomorphological transformations and broad spatiotemporal scale features of coastal evolution. As part of this approach, a new metric...
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description | The study of the coastal landscapes of hotspot oceanic islands through comprehensive structural metrics and ecological estimators represents an opportunity to explore geomorphological transformations and broad spatiotemporal scale features of coastal evolution. As part of this approach, a new metrical comparative analysis is presented in this study, comprising four islands in different evolutionary stages. They belong to the Cape Verde archipelago, which forms a double insular chain in which an east–west gradient in age and evolution is particularly evident across the southern chain. A space‐for‐time (SFT) substitution approach is applied to the coasts of (1) Fogo, in the shield stage; (2) Santiago, in the early post‐erosional stage; (3) São Vicente, in the advanced post‐erosional stage; and (4) Boa Vista, in the last erosional stage. From the obtained spatial distributions and frequencies of landforms, the coastal landscapes of these islands are compared in relation to their (i) geomorphic composition, using similarity indices (Whittaker, βw, Sorensen, Cs) and nestedness estimators (NOFD, WNODF), (ii) geomorphic abundance, using morpho‐assembling densities (Dgm), and (iii) geomorphic diversity, using six alpha‐diversity indices (Richness, S, Menhinick, DMN, Simpson, D, Shannon, H', Berger‐Parker, d, and Brillouin, HB). An advanced geomorphological taxonomy is implemented for areas with limited open‐access data, including a set of planform features captured through scale‐frequency decomposition. Photographic, cartographic and fieldwork data are used for landform identification at 1200 random sampling points, empirically determined by a bootstrap method. The results show a chronological ordering of the compared variables and a possible co‐evolution towards an increase in organizational geomorphic complexity of coastal systems at broad space‐timescales. The method proposed in this study can contribute, from a metrical perspective, to finding new long‐term evolutionary features and constitutes an advance in the development of an integrated model of coastal evolution in oceanic islands. © 2019 John Wiley & Sons, Ltd.
The long‐term evolution of coastal geomorphic configurations is examined through the synchronic analysis of four hotspot islands of the Cape Verde archipelago in different stage of development. A co‐evolutionary pattern on the coastal landscapes was observed, between compositional transformations and increasing geomorphological abundance and diver |
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The long‐term evolution of coastal geomorphic configurations is examined through the synchronic analysis of four hotspot islands of the Cape Verde archipelago in different stage of development. A co‐evolutionary pattern on the coastal landscapes was observed, between compositional transformations and increasing geomorphological abundance and diversity, allowing advances towards a new model of the coastal evolution in oceanic islands.</description><identifier>ISSN: 0197-9337</identifier><identifier>EISSN: 1096-9837</identifier><identifier>DOI: 10.1002/esp.4738</identifier><language>eng</language><publisher>Bognor Regis: Wiley Subscription Services, Inc</publisher><subject>Archipelagoes ; Cape Verde ; Capes (landforms) ; Cartography ; Chains ; Coastal evolution ; Comparative analysis ; Diversity indices ; Estimators ; Evolution ; Fieldwork ; geodiversity ; Geomorphology ; Hot spots ; hotspot islands ; Islands ; Landforms ; Landscape ; landscape metrics ; Oceanic islands ; Random sampling ; Spatial distribution ; Statistical methods ; Statistical sampling ; Taxonomy</subject><ispartof>Earth surface processes and landforms, 2020-03, Vol.45 (3), p.511-525</ispartof><rights>2019 John Wiley & Sons, Ltd.</rights><rights>2020 John Wiley & Sons, Ltd.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a3168-efd7ca378e00c79f7dc4a8caffd9f79f0395d3f8c1660ffecb7a8254409b26d03</citedby><cites>FETCH-LOGICAL-a3168-efd7ca378e00c79f7dc4a8caffd9f79f0395d3f8c1660ffecb7a8254409b26d03</cites><orcidid>0000-0002-3402-6183</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fesp.4738$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fesp.4738$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids></links><search><creatorcontrib>Ferrer‐Valero, Nicolás</creatorcontrib><creatorcontrib>Hernández‐Calvento, Luis</creatorcontrib><title>Coastal geomorphic chronosequences across broad spatiotemporal scales. Metrical observations from the Cape Verde hotspot</title><title>Earth surface processes and landforms</title><description>The study of the coastal landscapes of hotspot oceanic islands through comprehensive structural metrics and ecological estimators represents an opportunity to explore geomorphological transformations and broad spatiotemporal scale features of coastal evolution. As part of this approach, a new metrical comparative analysis is presented in this study, comprising four islands in different evolutionary stages. They belong to the Cape Verde archipelago, which forms a double insular chain in which an east–west gradient in age and evolution is particularly evident across the southern chain. A space‐for‐time (SFT) substitution approach is applied to the coasts of (1) Fogo, in the shield stage; (2) Santiago, in the early post‐erosional stage; (3) São Vicente, in the advanced post‐erosional stage; and (4) Boa Vista, in the last erosional stage. From the obtained spatial distributions and frequencies of landforms, the coastal landscapes of these islands are compared in relation to their (i) geomorphic composition, using similarity indices (Whittaker, βw, Sorensen, Cs) and nestedness estimators (NOFD, WNODF), (ii) geomorphic abundance, using morpho‐assembling densities (Dgm), and (iii) geomorphic diversity, using six alpha‐diversity indices (Richness, S, Menhinick, DMN, Simpson, D, Shannon, H', Berger‐Parker, d, and Brillouin, HB). An advanced geomorphological taxonomy is implemented for areas with limited open‐access data, including a set of planform features captured through scale‐frequency decomposition. Photographic, cartographic and fieldwork data are used for landform identification at 1200 random sampling points, empirically determined by a bootstrap method. The results show a chronological ordering of the compared variables and a possible co‐evolution towards an increase in organizational geomorphic complexity of coastal systems at broad space‐timescales. The method proposed in this study can contribute, from a metrical perspective, to finding new long‐term evolutionary features and constitutes an advance in the development of an integrated model of coastal evolution in oceanic islands. © 2019 John Wiley & Sons, Ltd.
The long‐term evolution of coastal geomorphic configurations is examined through the synchronic analysis of four hotspot islands of the Cape Verde archipelago in different stage of development. A co‐evolutionary pattern on the coastal landscapes was observed, between compositional transformations and increasing geomorphological abundance and diversity, allowing advances towards a new model of the coastal evolution in oceanic islands.</description><subject>Archipelagoes</subject><subject>Cape Verde</subject><subject>Capes (landforms)</subject><subject>Cartography</subject><subject>Chains</subject><subject>Coastal evolution</subject><subject>Comparative analysis</subject><subject>Diversity indices</subject><subject>Estimators</subject><subject>Evolution</subject><subject>Fieldwork</subject><subject>geodiversity</subject><subject>Geomorphology</subject><subject>Hot spots</subject><subject>hotspot islands</subject><subject>Islands</subject><subject>Landforms</subject><subject>Landscape</subject><subject>landscape metrics</subject><subject>Oceanic islands</subject><subject>Random sampling</subject><subject>Spatial distribution</subject><subject>Statistical methods</subject><subject>Statistical sampling</subject><subject>Taxonomy</subject><issn>0197-9337</issn><issn>1096-9837</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp1kMtOwzAQRS0EEqUg8QmW2LBJseM0tpcoKg-pCCQeW8txxiRVExvbPPr3pC1bVjMjnZnRPQidUzKjhORXEP2s4EwcoAklssykYPwQTQiVPJOM8WN0EuOKEEoLISfop3I6Jr3G7-B6F3zbGWza4AYX4eMTBgMRaxNcjLgOTjc4ep06l6D3Loxr0eg1xBl-gBS6sceujhC-tswQsQ2ux6kFXGkP-A1CA7h1KXqXTtGR1esIZ391il5vFi_VXbZ8vL2vrpeZZrQUGdiGG824AEIMl5Y3ptDCaGubcZCWMDlvmBWGliWxFkzNtcjnRUFknZcNYVN0sb_rgxsDxaRW7jMM40uVM04ZZ2ROR-pyT-2iBrDKh67XYaMoUVuvavSqtl5HNNuj390aNv9yavH8tON_ATlyfNs</recordid><startdate>20200315</startdate><enddate>20200315</enddate><creator>Ferrer‐Valero, Nicolás</creator><creator>Hernández‐Calvento, Luis</creator><general>Wiley Subscription Services, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TG</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H96</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><orcidid>https://orcid.org/0000-0002-3402-6183</orcidid></search><sort><creationdate>20200315</creationdate><title>Coastal geomorphic chronosequences across broad spatiotemporal scales. Metrical observations from the Cape Verde hotspot</title><author>Ferrer‐Valero, Nicolás ; Hernández‐Calvento, Luis</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a3168-efd7ca378e00c79f7dc4a8caffd9f79f0395d3f8c1660ffecb7a8254409b26d03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Archipelagoes</topic><topic>Cape Verde</topic><topic>Capes (landforms)</topic><topic>Cartography</topic><topic>Chains</topic><topic>Coastal evolution</topic><topic>Comparative analysis</topic><topic>Diversity indices</topic><topic>Estimators</topic><topic>Evolution</topic><topic>Fieldwork</topic><topic>geodiversity</topic><topic>Geomorphology</topic><topic>Hot spots</topic><topic>hotspot islands</topic><topic>Islands</topic><topic>Landforms</topic><topic>Landscape</topic><topic>landscape metrics</topic><topic>Oceanic islands</topic><topic>Random sampling</topic><topic>Spatial distribution</topic><topic>Statistical methods</topic><topic>Statistical sampling</topic><topic>Taxonomy</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ferrer‐Valero, Nicolás</creatorcontrib><creatorcontrib>Hernández‐Calvento, Luis</creatorcontrib><collection>CrossRef</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><jtitle>Earth surface processes and landforms</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ferrer‐Valero, Nicolás</au><au>Hernández‐Calvento, Luis</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Coastal geomorphic chronosequences across broad spatiotemporal scales. Metrical observations from the Cape Verde hotspot</atitle><jtitle>Earth surface processes and landforms</jtitle><date>2020-03-15</date><risdate>2020</risdate><volume>45</volume><issue>3</issue><spage>511</spage><epage>525</epage><pages>511-525</pages><issn>0197-9337</issn><eissn>1096-9837</eissn><abstract>The study of the coastal landscapes of hotspot oceanic islands through comprehensive structural metrics and ecological estimators represents an opportunity to explore geomorphological transformations and broad spatiotemporal scale features of coastal evolution. As part of this approach, a new metrical comparative analysis is presented in this study, comprising four islands in different evolutionary stages. They belong to the Cape Verde archipelago, which forms a double insular chain in which an east–west gradient in age and evolution is particularly evident across the southern chain. A space‐for‐time (SFT) substitution approach is applied to the coasts of (1) Fogo, in the shield stage; (2) Santiago, in the early post‐erosional stage; (3) São Vicente, in the advanced post‐erosional stage; and (4) Boa Vista, in the last erosional stage. From the obtained spatial distributions and frequencies of landforms, the coastal landscapes of these islands are compared in relation to their (i) geomorphic composition, using similarity indices (Whittaker, βw, Sorensen, Cs) and nestedness estimators (NOFD, WNODF), (ii) geomorphic abundance, using morpho‐assembling densities (Dgm), and (iii) geomorphic diversity, using six alpha‐diversity indices (Richness, S, Menhinick, DMN, Simpson, D, Shannon, H', Berger‐Parker, d, and Brillouin, HB). An advanced geomorphological taxonomy is implemented for areas with limited open‐access data, including a set of planform features captured through scale‐frequency decomposition. Photographic, cartographic and fieldwork data are used for landform identification at 1200 random sampling points, empirically determined by a bootstrap method. The results show a chronological ordering of the compared variables and a possible co‐evolution towards an increase in organizational geomorphic complexity of coastal systems at broad space‐timescales. The method proposed in this study can contribute, from a metrical perspective, to finding new long‐term evolutionary features and constitutes an advance in the development of an integrated model of coastal evolution in oceanic islands. © 2019 John Wiley & Sons, Ltd.
The long‐term evolution of coastal geomorphic configurations is examined through the synchronic analysis of four hotspot islands of the Cape Verde archipelago in different stage of development. A co‐evolutionary pattern on the coastal landscapes was observed, between compositional transformations and increasing geomorphological abundance and diversity, allowing advances towards a new model of the coastal evolution in oceanic islands.</abstract><cop>Bognor Regis</cop><pub>Wiley Subscription Services, Inc</pub><doi>10.1002/esp.4738</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0002-3402-6183</orcidid></addata></record> |
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subjects | Archipelagoes Cape Verde Capes (landforms) Cartography Chains Coastal evolution Comparative analysis Diversity indices Estimators Evolution Fieldwork geodiversity Geomorphology Hot spots hotspot islands Islands Landforms Landscape landscape metrics Oceanic islands Random sampling Spatial distribution Statistical methods Statistical sampling Taxonomy |
title | Coastal geomorphic chronosequences across broad spatiotemporal scales. Metrical observations from the Cape Verde hotspot |
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