Very high resolution Earth Observation features for monitoring plant and animal community structure across multiple spatial scales in protected areas (Articolo in rivista)

Type

• Prodotto della ricerca (Classe)
• Articolo in rivista (Classe)

Label

• Very high resolution Earth Observation features for monitoring plant and animal community structure across multiple spatial scales in protected areas (Articolo in rivista) (literal)

Anno

• 2014-01-01T00:00:00+01:00 (literal)

Alternative label

• Paola Mairota, Barbara Cafarelli, Rocco Labadessa, Francesco Lovergine,Cristina Tarantino, Richard M. Lucas, Harini Nagendra, Raphael K. Didham (2014)
  Very high resolution Earth Observation features for monitoring plant and animal community structure across multiple spatial scales in protected areas
  in International journal of applied earth observation and geoinformation (Online); Elsevier, Amsterdam (Paesi Bassi)
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Paola Mairota, Barbara Cafarelli, Rocco Labadessa, Francesco Lovergine,Cristina Tarantino, Richard M. Lucas, Harini Nagendra, Raphael K. Didham (literal)

Pagina inizio

• 100 (literal)

Pagina fine

• 105 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni

• Q1 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url

• http://dx.doi.org/10.1016/j.jag.2014.09.015 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume

• 37 (literal)

Rivista

• International journal of applied earth observation and geoinformation (Rivista)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali

• 6 (literal)

Note

• ISI Web of Science (WOS) (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• Department of Agro-Environmental and Territorial Sciences, University of Bari \"Aldo Moro\", Via Orabona 4, 70125 Bari, Italy National Research Council - Institute of Intelligent Systems for Automation (CNR-ISSIA), Via G. Amendola 122, 70126 Bari, Italy Department of Economy, University of Foggia, Largo Papa Giovanni Paolo II, 1, 71100 Foggia, Italy Institute of Geography and Earth Sciences, Aberystwyth University, Aberystwyth, Ceredigion SY23 3DB, UK School of Development, Azim Premji University, PES Institute of Technology Campus, Pixel Park, B Block, Electronics City, Hosur Road, Bangalore 560100,India School of Animal Biology, The University of Western Australia and CSIRO Land and Water Flagship, Perth, WA, Australia (literal)

Titolo

• Very high resolution Earth Observation features for monitoring plant and animal community structure across multiple spatial scales in protected areas (literal)

Abstract

• Monitoring the status and future trends in biodiversity can be prohibitively expensive using ground-based surveys. Consequently, significant effort is being invested in the use of satellite remote sensingto represent aspects of the proximate mechanisms (e.g., resource availability) that can be related tobiodiversity surrogates (BS) such as species community descriptors. We explored the potential of veryhigh resolution (VHR) satellite Earth observation (EO) features as proxies for habitat structural attributesthat influence spatial variation in habitat quality and biodiversity change. In a semi-natural grasslandmosaic of conservation concern in southern Italy, we employed a hierarchical nested sampling strategyto collect field and VHR-EO data across three spatial extent levels (landscape, patch and plot). Speciesincidence and abundance data were collected at the plot level for plant, insect and bird functional groups.Spectral and textural VHR-EO image features were derived from a Worldview-2 image. Three windowsizes (grains) were tested for analysis and computation of textural features, guided by the perceptionlimits of different organisms. The modelled relationships between VHR-EO features and BS responsesdiffered across scales, suggesting that landscape, patch and plot levels are respectively most appropriatewhen dealing with birds, plants and insects. This research demonstrates the potential of VHR-EO forbiodiversity mapping and habitat modelling, and highlights the importance of identifying the appropriatescale of analysis for specific taxonomic groups of interest. Further, textural features are important in themodelling of functional group-specific indices which represent BS in high conservation value habitattypes, and provide a more direct link to species interaction networks and ecosystem functioning, thanprovided by traditional taxonomic diversity indices. (literal)

Editore

• Elsevier (Editore)

Prodotto di

• Studio e Sviluppo di metodologie osservative da piattaforme in situ, aeree e satellitari per il monitoraggio ambientale (TA.P06.024.001) (Modulo)
• Institute of intelligent systems for automation (ISSIA) (Istituto)

Autore CNR

• FRANCESCO LOVERGINE (Persona)
• CRISTINA TARANTINO (Unità di personale interno)

Insieme di parole chiave

• Parole chiave di "Very high resolution Earth Observation features for monitoring plant and animal community structure across multiple spatial scales in protected areas" (Insieme di parole chiave)

Incoming links:

Prodotto

• Institute of intelligent systems for automation (ISSIA) (Istituto)
• Studio e Sviluppo di metodologie osservative da piattaforme in situ, aeree e satellitari per il monitoraggio ambientale (TA.P06.024.001) (Modulo)

Autore CNR di

• FRANCESCO LOVERGINE (Persona)
• CRISTINA TARANTINO (Unità di personale interno)

Editore di

• Elsevier (Editore)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi

• International journal of applied earth observation and geoinformation (Rivista)

Insieme di parole chiave di

• Parole chiave di "Very high resolution Earth Observation features for monitoring plant and animal community structure across multiple spatial scales in protected areas" (Insieme di parole chiave)