- Ecology and Vegetation Dynamics Studies
- Species Distribution and Climate Change
- Plant and animal studies
- Land Use and Ecosystem Services
- Remote Sensing in Agriculture
- Fire effects on ecosystems
- Animal Ecology and Behavior Studies
- Wildlife Ecology and Conservation
- Ecosystem dynamics and resilience
- Evolution and Paleontology Studies
- Landslides and related hazards
- Plant Water Relations and Carbon Dynamics
- Remote-Sensing Image Classification
- Remote Sensing and LiDAR Applications
- Geochemistry and Geologic Mapping
- Mediterranean and Iberian flora and fauna
- Sustainability and Ecological Systems Analysis
- Botany and Plant Ecology Studies
- Rangeland and Wildlife Management
- Plant Diversity and Evolution
- Remote Sensing and Land Use
- Forest Ecology and Biodiversity Studies
- Genetic diversity and population structure
- Fire dynamics and safety research
- Urban Green Space and Health
Sapienza University of Rome
2015-2024
University of Palermo
2023-2024
McMaster University
2024
University of L'Aquila
2014
Italian Society of Physiotherapy
2003
Accurate mapping of species distributions is a fundamental goal modern biogeography, both for basic and applied purposes. This commonly done by plotting known occurrences, expert-drawn range maps or geographical estimations derived from distribution models. However, all three kinds are implicitly subject to uncertainty, due the quality bias raw distributional data, process map building, dynamic nature themselves. Here we review main sources uncertainty suggesting code good practices in order...
Abstract Aim Differentiation of sites or communities is often measured by partitioning regional gamma diversity into additive multiplicative alpha and beta components. The component the ratio within‐group to total (alpha/gamma) are then used infer compositional differentiation similarity sites. There debate about appropriate measures formulas for this purpose. We test main methods, using empirical simulated data, see if some these methods lead false conclusions, we show how resolve problems...
Summary The preservation of ecosystem processes under ongoing biotic erosion requires that some species within affected communities perform similar functions, a property is usually defined as functional redundancy. Although redundancy has recently become relevant part ecological research, so far there no agreement on its measurement. scope this work thus to propose consistent framework based dissimilarities among for summarizing different facets behaviour the proposed measures illustrated...
Twenty years ago, the Spectral Variation Hypothesis (SVH) was formulated as a means to link between different aspects of biodiversity and spatial patterns spectral data (e.g. reflectance) measured from optical remote sensing. This hypothesis initially assumed positive correlation variations computed raster in environment, which would turn correlate with species richness: following SVH, areas characterized by high heterogeneity (SH) should be related higher number available ecological niches,...
Functional diversity (FD) has been seen as the key to understanding ecosystem processes, such productivity, nutrient cycling and storage, carbon sequestration, stability perturbations. Yet it is still unclear how FD should be measured. In this paper, I propose a set of fundamental criteria that meaningful index satisfy reasonably behave in ecological research. If computed from pairwise functional distances among species given assemblage, candidate measures monotone, monotone distance,...
Urban forests provide important ecosystem services, such as urban air quality improvement by removing pollutants. While robust evidence exists that plant physiology, abundance, and distribution within cities are basic parameters affecting the magnitude efficiency of pollution removal, little is known about effects diversity on stability this service. Here, means a spatial analysis integrating system dynamic modeling geostatistics, we assessed tree removal tropospheric ozone (O3) in Rome,...
Abstract Biodiversity includes multiscalar and multitemporal structures processes, with different levels of functional organization, from genetic to ecosystemic levels. One the mostly used methods infer biodiversity is based on taxonomic approaches community ecology theories. However, gathering extensive data in field difficult due logistic problems, especially when aiming at modelling changes space time, which assumes statistically sound sampling schemes. In this context, airborne or...
Traditionally fuel maps are built in terms of ‘fuel types’, thus considering the structural characteristics vegetation only. The aim this work is to derive a phenological map based on functional attributes coarse-scale phenology, such as seasonality and productivity. MODIS NDVI 250m images Sardinia (Italy), large Mediterranean island with high frequency fire incidence, were acquired for period 2000–2012 construct mean annual profile at pixel-level. Next, following procedure was used develop...
Understanding the causes and effects of species invasions is a priority in ecology conservation biology. One crucial steps evaluating impact invasive to map changes their actual potential distribution relative abundance across wide region over an appropriate time span. While direct indirect remote sensing approaches have long been used assess invasion plant species, animals mainly based on methods that rely environmental proxies conditions suitable for colonization by particular species. The...
An enormous number of measures based on different criteria have been proposed to quantify evenness or unevenness among species relative abundances in an assemblage. However, a unified approach that can encompass most the widely used indices is still lacking. Here, we first present some basic requirements for measure. We then propose assemblage be measured by normalized divergence between vector and mean vector, where represents completely even Thus, corresponding extent closeness these two...
Ecosystem heterogeneity has been widely recognized as a key ecological indicator of several functions, diversity patterns and change, metapopulation dynamics, population connectivity or gene flow.In this paper, we present new R package-rasterdiv-to calculate indices based on remotely sensed data. We also provide an application at the landscape scale demonstrate its power in revealing potentially hidden patterns.The rasterdiv package allows calculating multiple indices, robustly rooted...