LIVIVO - Search results -

Search results

Result 1 - 10 of total 143

Search options

Article: Effects of Land Use-Land Cover Thematic Resolution on Environmental Evaluations

Pelorosso, Raffaele / Apollonio, Ciro / Rocchini, Duccio / Petroselli, Andrea

Remote Sensing. 2021 Mar. 24, v. 13, no. 7

2021

Abstract: Land use/land cover (LULC) maps are a key input in environmental evaluations for the sustainable planning and management of socio-ecological systems. While the impact of map spatial resolution on environmental assessments has been evaluated by several ... ...

Abstract	Land use/land cover (LULC) maps are a key input in environmental evaluations for the sustainable planning and management of socio-ecological systems. While the impact of map spatial resolution on environmental assessments has been evaluated by several studies, the effect of thematic resolution (the level of detail of LU/LC typologies) is discordant and still poorly investigated. In this paper, four scenarios of thematic resolutions, corresponding to the four levels of the CORINE classification scheme, have been compared in a real case study of landscape connectivity assessment, a major aspect for the biodiversity conservation and ecosystem service provision. The PANDORA model has been employed to investigate the effects of LULC thematic resolution on Bio-Energy Landscape Connectivity (BELC) at the scale of the whole system, landscape units, and single land cover patches, also in terms of ecosystem services. The results show different types of impacts on landscape connectivity due to the changed spatial pattern of the LULC classes across the four thematic resolution scenarios. Moreover, the main priority areas for conservation objectives and future sustainable urban expansion have been identified. Finally, several indications are given for supporting practitioners and researchers faced with thematic resolution issues in environmental assessment and land use planning.
Keywords	biodiversity conservation ; bioenergy ; case studies ; ecosystem services ; ecosystems ; environmental assessment ; habitat connectivity ; land cover ; land use and land cover maps ; landscapes ; models ; urbanization
Language	English
Dates of publication	2021-0324
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article
Note	NAL-light
ZDB-ID	2513863-7
ISSN	2072-4292
ISSN	2072-4292
DOI	10.3390/rs13071232
Database	NAL-Catalogue (AGRICOLA)

Order via subito

This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

Article ; Online: Sampling strategy matters to accurately estimate response curves' parameters in species distribution models

Bazzichetto, Manuele / Lenoir, Jonathan / Da Re, Daniele / Tordoni, Enrico / Rocchini, Duccio / Malavasi, Marco / Barták, Vojtech / Sperandii, Marta Gaia

Global Ecology and Biogeography. 2023 Oct., v. 32, no. 10 p.1717-1729

2023

Abstract: AIM: Assessing how different sampling strategies affect the accuracy and precision of species response curves estimated by parametric species distribution models. MAJOR TAXA STUDIED: Virtual plant species. LOCATION: Abruzzo (Italy). TIME PERIOD: Timeless ...

Abstract	AIM: Assessing how different sampling strategies affect the accuracy and precision of species response curves estimated by parametric species distribution models. MAJOR TAXA STUDIED: Virtual plant species. LOCATION: Abruzzo (Italy). TIME PERIOD: Timeless (simulated data). METHODS: We simulated the occurrence of two virtual species with different ecology (generalist vs specialist) and distribution extent. We sampled their occurrence following different sampling strategies: random, stratified, systematic, topographic, uniform within the environmental space (hereafter, uniform) and close to roads. For each sampling design and species, we ran 500 simulations at increasing sampling efforts (total: 42,000 replicates). For each replicate, we fitted a binomial generalised linear model, extracted model coefficients for precipitation and temperature, and compared them with true coefficients from the known species' equation. We evaluated the quality of the estimated response curves by computing bias, variance and root mean squared error (RMSE). Additionally, we (i) assessed the impact of missing covariates on the performance of the sampling approaches and (ii) evaluated the effect of incompletely sampling the environmental space on the uniform approach. RESULTS: For the generalist species, we found the lowest RMSE when uniformly sampling the environmental space, while sampling occurrence data close to roads provided the worst performance. For the specialist species, all sampling designs showed comparable outcomes. Excluding important predictors similarly affected all sampling strategies. Sampling limited portions of the environmental space reduced the performance of the uniform approach, regardless of the portion surveyed. MAIN CONCLUSIONS: Our results suggest that a proper estimate of the species response curve can be obtained when the choice of the sampling strategy is guided by the species' ecology. Overall, uniformly sampling the environmental space seems more efficient for species with wide environmental tolerances. The advantage of seeking the most appropriate sampling strategy vanishes when modelling species with narrow realised niches.
Keywords	biogeography ; ecology ; equations ; geographical distribution ; linear models ; temperature ; topography ; variance ; Italy
Language	English
Dates of publication	2023-10
Size	p. 1717-1729.
Publishing place	John Wiley & Sons, Ltd
Document type	Article ; Online
Note	JOURNAL ARTICLE
ZDB-ID	2021283-5
ISSN	1466-8238 ; 1466-822X ; 0960-7447
ISSN (online)	1466-8238
ISSN	1466-822X ; 0960-7447
DOI	10.1111/geb.13725
Database	NAL-Catalogue (AGRICOLA)

Order via subito

Article: Distribution and functional traits of small mammals across the Mediterranean area: landscape composition and structure definitively matter

Paniccia, Chiara / Laura Carranza, Maria / Frate, Ludovico / Di Febbraro, Mirko / Rocchini, Duccio / Loy, Anna

Ecological indicators. 2022 Feb., v. 135

2022

Abstract: Mediterranean landscapes constitute a biodiversity hotspot where species distribution and composition have been shaped by a long history of traditional land use. In this work, we investigated the effects of landscape patterns on community composition and ...

Abstract	Mediterranean landscapes constitute a biodiversity hotspot where species distribution and composition have been shaped by a long history of traditional land use. In this work, we investigated the effects of landscape patterns on community composition and the functional, morphological, and ecological traits of 21 small mammal species in the Mediterranean region. We extracted species abundance and trait data from 86 georeferenced Common Barn-owl pellet sites collected in Central Italy, covering 33,000 km², and stored in the OpenMICE database. Additionally, we measured 12 landscape metrics on land cover maps produced at intervals coeval with pellet collection dates. We explored the variation in species composition against landscape pattern metrics using canonical correspondence analysis (CCA). Moreover, we analysed the relationships among small mammals’ occurrence, their life history traits, and landscape pattern metrics using the fourth-corner model approach. Our results highlighted the key role of landscape composition and configuration in shaping small mammal species composition and their functional traits. Species and trait composition varied along two main landscape gradients, with a simplification of species assemblage towards increasing human pressure (i.e., artificial surfaces and agricultural areas) and decreasing cover of seminatural areas. The observed variability of species assemblages and functional traits across Mediterranean landscape gradients highlights the need to preserve diverse ecosystems and land cover types to maintain small mammal biodiversity and related ecosystem functioning.
Keywords	Tyto alba ; community structure ; correspondence analysis ; databases ; ecosystems ; geographical distribution ; georeferencing ; humans ; land cover ; land use ; landscapes ; life history ; small mammals ; species abundance ; Italy ; Mediterranean region
Language	English
Dates of publication	2022-02
Publishing place	Elsevier Ltd
Document type	Article
ZDB-ID	2036774-0
ISSN	1872-7034 ; 1470-160X
ISSN (online)	1872-7034
ISSN	1470-160X
DOI	10.1016/j.ecolind.2022.108550
Database	NAL-Catalogue (AGRICOLA)

In stock of ZB MED Bonn / Germany

Z 7436: Show issues

Order via subito

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Details ▾
- See ZB MED holdings
- Order with fees

Article: Introduction to the Special Issue: Geospatial Monitoring and Modeling of Environmental Change

Rocchini, Duccio

ISPRS international journal of geo-information. 2014 Feb. 06, v. 3, no. 1

2014

Abstract: Geospatial modeling is an approach to apply analysis to monitor environmental change over time considering different fields of re-search, including computer science, remote sensing, ecology, environmental science, life science, geography (see [1,2] for a ...

Abstract	Geospatial modeling is an approach to apply analysis to monitor environmental change over time considering different fields of re-search, including computer science, remote sensing, ecology, environmental science, life science, geography (see [1,2] for a critique). The special issue was instigated to publish straightforward research on the matter in order to stimulate further discussion on the potential of geospatial modelling. Both theoretical and empirical papers are part of the issue with the support of the International Society for Photogrammetry and Remote Sensing, promoting an advanced forum for the science and technology of geographic information.
Keywords	computer science ; ecology ; environmental science ; geography ; models ; monitoring ; photogrammetry ; remote sensing ; spatial data
Language	English
Dates of publication	2014-0206
Size	p. 206-208.
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article
ZDB-ID	2655790-3
ISSN	2220-9964
ISSN	2220-9964
DOI	10.3390/ijgi3010206
Database	NAL-Catalogue (AGRICOLA)

Order via subito

Article: Fuzzy species distribution models: a way to represent plant communities spatially

Rocchini, Duccio

Journal of vegetation science. 2014 Mar., v. 25, no. 2

2014

Abstract: Fuzzy set theory has generally been applied to smooth classification cut‐offs, with an unavoidable loss of information. In this commentary, I rely on both advantages and disadvantages of the methods proposed in Duff et� al., in this issue of the Journal ... ...

Abstract	Fuzzy set theory has generally been applied to smooth classification cut‐offs, with an unavoidable loss of information. In this commentary, I rely on both advantages and disadvantages of the methods proposed in Duff et� al., in this issue of the Journal of Vegetation Science, to map the variability over space of vegetation classes based on fuzzy sets and species distribution models.
Keywords	biogeography ; models ; plant communities ; vegetation
Language	English
Dates of publication	2014-03
Size	p. 317-318.
Publishing place	Opulus Press
Document type	Article
ZDB-ID	1053769-7
ISSN	1100-9233
ISSN	1100-9233
DOI	10.1111/jvs.12152
Database	NAL-Catalogue (AGRICOLA)

In stock of ZB MED Bonn / Germany

Z 6267: Show issues
+ Dr 30: Show issues

Order via subito

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Details ▾
- See ZB MED holdings
- Order with fees

Article: LiDAR GEDI derived tree canopy height heterogeneity reveals patterns of biodiversity in forest ecosystems.

Torresani, Michele / Rocchini, Duccio / Alberti, Alessandro / Moudrý, Vítězslav / Heym, Michael / Thouverai, Elisa / Kacic, Patrick / Tomelleri, Enrico

Ecological informatics

2023 Volume 76, Page(s) 102082

Abstract: The "Height Variation Hypothesis" is an indirect approach used to estimate forest biodiversity through remote sensing data, stating that greater tree height heterogeneity (HH) measured by CHM LiDAR data indicates higher forest structure complexity and ... ...

Abstract	The "Height Variation Hypothesis" is an indirect approach used to estimate forest biodiversity through remote sensing data, stating that greater tree height heterogeneity (HH) measured by CHM LiDAR data indicates higher forest structure complexity and tree species diversity. This approach has traditionally been analyzed using only airborne LiDAR data, which limits its application to the availability of the dedicated flight campaigns. In this study we analyzed the relationship between tree species diversity and HH, calculated with four different heterogeneity indices using two freely available CHMs derived from the new space-borne GEDI LiDAR data. The first, with a spatial resolution of 30 m, was produced through a regression tree machine learning algorithm integrating GEDI LiDAR data and Landsat optical information. The second, with a spatial resolution of 10 m, was created using Sentinel-2 images and a deep learning convolutional neural network. We tested this approach separately in 30 forest plots situated in the northern Italian Alps, in 100 plots in the forested area of Traunstein (Germany) and successively in all the 130 plots through a cross-validation analysis. Forest density information was also included as influencing factor in a multiple regression analysis. Our results show that the GEDI CHMs can be used to assess biodiversity patterns in forest ecosystems through the estimation of the HH that is correlated to the tree species diversity. However, the results also indicate that this method is influenced by different factors including the GEDI CHMs dataset of choice and their related spatial resolution, the heterogeneity indices used to calculate the HH and the forest density. Our finding suggest that GEDI LIDAR data can be a valuable tool in the estimation of forest tree heterogeneity and related tree species diversity in forest ecosystems, which can aid in global biodiversity estimation.
Language	English
Publishing date	2023-09-02
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	2212016-6
ISSN	1878-0512 ; 1574-9541
ISSN (online)	1878-0512
ISSN	1574-9541
DOI	10.1016/j.ecoinf.2023.102082
Database	MEDical Literature Analysis and Retrieval System OnLINE

In stock of ZB MED Bonn / Germany

Z 7643: Show issues

Order via subito

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Details ▾
- See ZB MED holdings
- Order with fees

Article: Algorithmic foundation of spectral rarefaction for measuring satellite imagery heterogeneity at multiple spatial scales.

Rocchini, Duccio

Sensors (Basel, Switzerland)

2009 Volume 9, Issue 1, Page(s) 303–310

Abstract: Measuring heterogeneity in satellite imagery is an important task to deal with. Most measures of spectral diversity have been based on Shannon Information theory. However, this approach does not inherently address different scales, ranging from local ( ... ...

Abstract	Measuring heterogeneity in satellite imagery is an important task to deal with. Most measures of spectral diversity have been based on Shannon Information theory. However, this approach does not inherently address different scales, ranging from local (hereafter referred to alpha diversity) to global scales (gamma diversity). The aim of this paper is to propose a method for measuring spectral heterogeneity at multiple scales based on rarefaction curves. An algorithmic solution of rarefaction applied to image pixel values (Digital Numbers, DNs) is provided and discussed.
Language	English
Publishing date	2009-01-08
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220
ISSN	1424-8220
DOI	10.3390/s90100303
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

Article ; Online: Grassland vertical height heterogeneity predicts flower and bee diversity: an UAV photogrammetric approach.

Torresani, Michele / Rocchini, Duccio / Ceola, Giada / de Vries, Jan Peter Reinier / Feilhauer, Hannes / Moudrý, Vítězslav / Bartholomeus, Harm / Perrone, Michela / Anderle, Matteo / Gamper, Hannes Andres / Chieffallo, Ludovico / Guatelli, Enrico / Gatti, Roberto Cazzolla / Kleijn, David

Scientific reports

2024 Volume 14, Issue 1, Page(s) 809

Abstract: The ecosystem services offered by pollinators are vital for supporting agriculture and ecosystem functioning, with bees standing out as especially valuable contributors among these insects. Threats such as habitat fragmentation, intensive agriculture, ... ...

Abstract	The ecosystem services offered by pollinators are vital for supporting agriculture and ecosystem functioning, with bees standing out as especially valuable contributors among these insects. Threats such as habitat fragmentation, intensive agriculture, and climate change are contributing to the decline of natural bee populations. Remote sensing could be a useful tool to identify sites of high diversity before investing into more expensive field survey. In this study, the ability of Unoccupied Aerial Vehicles (UAV) images to estimate biodiversity at a local scale has been assessed while testing the concept of the Height Variation Hypothesis (HVH). This hypothesis states that the higher the vegetation height heterogeneity (HH) measured by remote sensing information, the higher the vegetation vertical complexity and the associated species diversity. In this study, the concept has been further developed to understand if vegetation HH can also be considered a proxy for bee diversity and abundance. We tested this approach in 30 grasslands in the South of the Netherlands, where an intensive field data campaign (collection of flower and bee diversity and abundance) was carried out in 2021, along with a UAV campaign (collection of true color-RGB-images at high spatial resolution). Canopy Height Models (CHM) of the grasslands were derived using the photogrammetry technique "Structure from Motion" (SfM) with horizontal resolution (spatial) of 10 cm, 25 cm, and 50 cm. The accuracy of the CHM derived from UAV photogrammetry was assessed by comparing them through linear regression against local CHM LiDAR (Light Detection and Ranging) data derived from an Airborne Laser Scanner campaign completed in 2020/2021, yielding an [Formula: see text] of 0.71. Subsequently, the HH assessed on the CHMs at the three spatial resolutions, using four different heterogeneity indices (Rao's Q, Coefficient of Variation, Berger-Parker index, and Simpson's D index), was correlated with the ground-based flower and bee diversity and bee abundance data. The Rao's Q index was the most effective heterogeneity index, reaching high correlations with the ground-based data (0.44 for flower diversity, 0.47 for bee diversity, and 0.34 for bee abundance). Interestingly, the correlations were not significantly influenced by the spatial resolution of the CHM derived from UAV photogrammetry. Our results suggest that vegetation height heterogeneity can be used as a proxy for large-scale, standardized, and cost-effective inference of flower diversity and habitat quality for bees.
MeSH term(s)	Bees ; Animals ; Ecosystem ; Grassland ; Agriculture ; Asthma ; Flowers ; Photogrammetry
Language	English
Publishing date	2024-01-08
Publishing country	England
Document type	Journal Article
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-023-50308-9
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

Article: The relationship between remotely-sensed spectral heterogeneity and bird diversity is modulated by landscape type.

Prajzlerová, Dominika / Barták, Vojtěch / Keil, Petr / Moudrý, Vítězslav / Zikmundová, Markéta / Balej, Petr / Leroy, François / Rocchini, Duccio / Perrone, Michela / Malavasi, Marco / Šímová, Petra

International journal of applied earth observation and geoinformation : ITC journal

2024 Volume 128, Page(s) 103763

Abstract: To identify areas of high biodiversity and prioritize conservation efforts, it is crucial to understand the drivers of species richness patterns and their scale dependence. While classified land cover products are commonly used to explain bird species ... ...

Abstract	To identify areas of high biodiversity and prioritize conservation efforts, it is crucial to understand the drivers of species richness patterns and their scale dependence. While classified land cover products are commonly used to explain bird species richness, recent studies suggest that unclassified remote-sensed images can provide equally good or better results. In our study, we aimed to investigate whether unclassified multispectral data from Landsat 8 can replace image classification for bird diversity modeling. Moreover, we also tested the Spectral Variability Hypothesis. Using the Atlas of Breeding Birds in the Czech Republic 2014-2017, we modeled species richness at two spatial resolutions of approx. 131 km
Language	English
Publishing date	2024-03-28
Publishing country	Netherlands
Document type	Journal Article
ISSN	1569-8432
ISSN	1569-8432
DOI	10.1016/j.jag.2024.103763
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Article: Testing the Height Variation Hypothesis with the R rasterdiv Package for Tree Species Diversity Estimation

Tamburlin, Daniel / Torresani, Michele / Tomelleri, Enrico / Tonon, Giustino / Rocchini, Duccio

Remote Sensing. 2021 Sept. 08, v. 13, no. 18

2021

Abstract: Forest biodiversity is a key element to support ecosystem functions. Measuring biodiversity is a necessary step to identify critical issues and to choose interventions to be applied in order to protect it. Remote sensing provides consistent quality and ... ...

Abstract	Forest biodiversity is a key element to support ecosystem functions. Measuring biodiversity is a necessary step to identify critical issues and to choose interventions to be applied in order to protect it. Remote sensing provides consistent quality and standardized data, which can be used to estimate different aspects of biodiversity. The Height Variation Hypothesis (HVH) represents an indirect method for estimating species diversity in forest ecosystems from the LiDAR data, and it assumes that the higher the variation in tree height (height heterogeneity, HH), calculated through the ’Canopy Height Model’ (CHM) metric, the more complex the overall structure of the forest and the higher the tree species diversity. To date, the HVH has been tested exclusively with CHM data, assessing the HH only with a single heterogeneity index (the Rao’s Q index) without making use of any moving windows (MW) approach. In this study, the HVH has been tested in an alpine coniferous forest situated in the municipality of San Genesio/Jenesien (eastern Italian Alps) at 1100 m, characterized by the presence of 11 different tree species (mainly Pinus sylvestris, Larix decidua, Picea abies followed by Betula alba and Corylus avellana). The HH has been estimated through different heterogeneity measures described in the new R rasterdiv package using, besides the CHM, also other LiDAR metrics (as the percentile or the standard deviation of the height distribution) at various spatial resolutions and MWs (ALS LiDAR data with mean point cloud density of 2.9 point/m2). For each combination of parameters, and for all the considered plots, linear regressions between the Shannon’s H′ (used as tree species diversity index based on field data) and the HH have been derived. The results showed that the Rao’s Q index (singularly and through a multidimensional approach) performed generally better than the other heterogeneity indices in the assessment of the HH. The CHM and the LiDAR metrics related to the upper quantile point cloud distribution at fine resolution (2.5 m, 5 m) have shown the most important results for the assessment of the HH. The size of the used MW did not influence the general outcomes but instead, it increased when compared to the results found in the literature, where the HVH was tested without MW approach. The outcomes of this study underline that the HVH, calculated with certain heterogeneity indices and LiDAR data, can be considered a useful tool for assessing tree species diversity in considered forest ecosystems. The general results highlight the strength and importance of LiDAR data in assessing the height heterogeneity and the related biodiversity in forest ecosystems.
Keywords	Betula pubescens var. pubescens ; Corylus avellana ; Larix decidua ; Picea abies ; Pinus sylvestris ; canopy height ; coniferous forests ; data collection ; lidar ; models ; species diversity ; standard deviation ; tree height ; trees ; Alps region
Language	English
Dates of publication	2021-0908
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article
ZDB-ID	2513863-7
ISSN	2072-4292
ISSN	2072-4292
DOI	10.3390/rs13183569
Database	NAL-Catalogue (AGRICOLA)

Order via subito

To top

More links

Kategorien

Order via subito

More links

Kategorien

Order via subito

More links

Kategorien

In stock of ZB MED Bonn / Germany

Order via subito

Inter-library loan at ZB MED

More links

Kategorien

Order via subito

More links

Kategorien

In stock of ZB MED Bonn / Germany

Order via subito

Inter-library loan at ZB MED

More links

Kategorien

In stock of ZB MED Bonn / Germany

Order via subito

Inter-library loan at ZB MED

More links

Kategorien

Order via subito

More links

Kategorien

Order via subito

More links

Kategorien

Order via subito

Inter-library loan at ZB MED

More links

Kategorien

Order via subito