Papers by Priscilla Minotti
Conferencia Latinoamericana sobre Uso de R en Investigación + Desarrollo (LatinR 2018) - JAIIO 47 (CABA, 2018), 2018
Series de tiempo de imágenes satelitales, correlación cruzada temporal, redes neuronales auto org... more Series de tiempo de imágenes satelitales, correlación cruzada temporal, redes neuronales auto organizadas, SOM.
Hydrobiologia, 2018
Physical, chemical and biological processes facilitate cross-habitat connections in lakes, prompt... more Physical, chemical and biological processes facilitate cross-habitat connections in lakes, prompting food webs to be supported by different subsidies. We tested the hypothesis that the pelagic food web is subsidized by littoral resources and fish foraging behaviour plays a major role in carbon flux and on food web structure in shallow hypereutrophic lakes. We performed a fish diet and carbon and nitrogen isotope analyses to predict the linkage between littoral and pelagic habitats in three shallow hypereutrophic lakes. Lakes differed in morphology, fetch, macrophyte composition and width of the littoral zone. d 13 C signals of seston differed among lakes, but were similar to other producers. Macroinvertebrates and fish carbon signatures were more enriched in the lake co-dominated by emergent and submerged vegetation. Fish foraging behaviour indicates that more than the 80% of the carbon that sustain adult fish was channelled from the littoral. In conclusion, littoral carbon were relevant and sustain, in part, food web in these shallow lakes. Factors like the extension of the littoral zone, lake morphometry, and the dominance of multi-chain omnivorous fish facilitate the connection among lake compartments and the transference of littoral carbon to lake food web.
The Paraná-Paraguay Fluvial Corridor (Argentina)
Springer eBooks, 2016
Journal of South American Earth Sciences, Mar 1, 2021
is the continent of wetlands, which represents more than 20% of its surface. Since the ecological... more is the continent of wetlands, which represents more than 20% of its surface. Since the ecological integrity of wetlands strongly depends on their water sources and dynamics, it is fundamental to understand their hydrology. Large wetlands are usually located in inaccessible areas where remote sensing results are a fundamental tool for wetland monitoring, providing information over a broad range of spatial and temporal scales. Radar spaceborne sensors provide an excellent all-weather tool for monitoring and recent investigations have also shown that Interferometric SAR (InSAR) can be very valuable for wetland monitoring in addition to its regular uses in DEM generation and surface deformation analyses. The availability of new SAR satellites such as the Sentinel 1 and SAOCOM missions, with short revisit times and open data policies, repeat-pass interferometry can now provide long time-series of coherence for wetland monitoring. In this article, we used a SOM neural network to cluster a yearly series of Sentinel 1 B coherence images from the coastal plain of Samborombón Bay, Argentina, into temporal coherence patterns. The timing and coherence values of these patterns were interpreted in terms of landcover, vegetation phenology, water sources, and waterlogged condition. Although the SOM patterns did not show a one to one relationship with landcover types nor with the main water sources, their spatial distribution and temporal signature of coherence gave information on wetlands with different water dynamics. A key outcome of our study was that temporal patterns of coherence could be used to assess the impacts of land-use practices on wetland functioning, which deserves further exploration. The spatial distribution of the temporal coherence patterns can be used as a hypothesis for wetland hydropatterns, a key to hydrological functional type wetland classification. This approach can help us gain a better understanding of complex wetlands and foster their sustainable management, particularly combined with in situ fieldwork and other remote sensing sources, particularly repeat pass L-band coherence, which can give a better indication of soil wetness.
Precipitation data with high resolution and high accuracy are significantly important in numerous... more Precipitation data with high resolution and high accuracy are significantly important in numerous hydrological applications. To enhance the spatial resolution and accuracy of satellite-based precipitation products, an easy-touse downscaling-calibration method based on a spatial random forest (SRF-DC) is proposed in this study, where the spatial autocorrelation of precipitation measurements between neighboring locations is considered. SRF-DC consists of two main stages. First, the satellite-based precipitation is downscaled by the SRF with the incorporation of highresolution variables including latitude, longitude, normalized difference vegetation index (NDVI), digital elevation model (DEM), terrain slope, aspect, relief and land surface temperatures. Then, the downscaled precipitation is calibrated by the SRF with rain gauge observations and the aforementioned high-resolution variables. The monthly Integrated MultisatellitE Retrievals for Global Precipitation Measurement (IMERG) over Sichuan Province, China, from 2015 to 2019 was processed using SRF-DC, and its results were compared with those of classical methods including geographically weighted regression (GWR), artificial neural network (ANN), random forest (RF), kriging interpolation only on gauge measurements, bilinear interpolation-based downscaling and then SRF-based calibration (Bi-SRF), and SRFbased downscaling and then geographical difference analysis (GDA)-based calibration (SRF-GDA). Comparative analyses with respect to root mean square error (RMSE), mean absolute error (MAE) and correlation coefficient (CC) demonstrate that (1) SRF-DC outperforms the classical methods as well as the original IMERG; (2) the monthly based SRF estimation is slightly more accurate than the annually based SRF fraction disaggregation method; (3) SRF-based downscaling and calibration perform better than bilinear downscaling (Bi-SRF) and GDA-based calibration (SRF-GDA); (4) kriging is more accurate than GWR and ANN, whereas its precipitation map loses detailed spatial precipitation patterns; and (5) based on the variable-importance rank of the RF, the precipitation interpolated by kriging on the rain gauge measurements is the most important variable, indicating the significance of incorporating spatial autocorrelation for precipitation estimation.
Integración De Imagenes Sac-C, Landsat y Spot Pancromatico Para La Determinación De Susceptibilidad Hidrica
Este trabajo complementa los resultados presentados en el IX SIMPOSIO LATINOAMERICANO DE PERCEPCI... more Este trabajo complementa los resultados presentados en el IX SIMPOSIO LATINOAMERICANO DE PERCEPCION REMOTA de noviembre de 2000, relativos a los aspectos metodologicos para la generacion de cartografia de riesgo hidrico, a partir de la combinacion de imagenes satelitales Landsat TM con escenas sinteticas del Multispectral Medium Resolution Scanner (MMRS), generadas por la Comision Nacional de Actividades Espaciales, CONAE.
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Synthetic Aperture Radar (SAR) images are a valuable tool for wetlands monitoring since they are ... more Synthetic Aperture Radar (SAR) images are a valuable tool for wetlands monitoring since they are able to detect water below the vegetation. Furthermore, SAR images can be acquired regardless of the weather conditions. The monitoring and study of wetlands have become increasingly important due to the social and ecological benefits they provide and the constant pressures they are subject to. The Sentinel-1 mission from the European Space Agency enables the possibility of having free access to multitemporal SAR data. This study aims to investigate the use of multitemporal Sentinel-1 data for wetlands land-cover classification. To perform this assessment, we acquired 76 Sentinel-1 images from a portion of the Lower Delta of the Paraná River, and considering different seasons, texture measurements, and polarization, 30 datasets were created. For each dataset, a Random Forest classifier was trained. Our experiments show that datasets that included the winter dates achieved kappa index values (κ) higher than 0.8. Including textures measurements showed improvements in the classifications: for the summer datasets, the κ increased more than 14%, whereas, for Winter datasets in the VH and Dual polarization, the improvements were lower than 4%. Our results suggest that for the analyzed land-cover classes, winter is the most informative season. Moreover, for Summer datasets, the textures measurements provide complementary information.
Variaciones anuales en la abundancia y en los patrones de distribución espacial del flamenco austral (phoenicopterus chilensis) y la parina grande (phoenicoparrus andinus) en el sitio Ramsar Laguna Melincué, Argentina
Asociación Ornitológica del Plata, Dec 1, 2017
El delta del rio parana . Un area de rica biodiversidad en argentina
Journal of Fish Biology, 2016
Common carp (Cyprinus carpio) is a global invader that exhibits a wide distribution in Argentina,... more Common carp (Cyprinus carpio) is a global invader that exhibits a wide distribution in Argentina, particularly in shallow lakes and wetlands of the Pampean region. The hydrological conditions of these environments are driven by variations in annual precipitation that determine inter annual changes in water levels leading to flood-drought cycles. The present study focused on understanding the C. carpio population responses to annual rainfall regime and long-term flood and drought events in the Ajó wetlands located in the east of the Pampean region. The results of a two-year biological sampling program showed that C. carpio feeding rate, reproduction, condition, and recruitment were associated with the hydrological cycle. Otolith derived age structure of the population and back-calculated recruitment strength revealed that extraordinary flooding events generated strong cohorts while dry years resulted in low recruitment. Its long-life span (maximum 14 years in Ajó) coupled with a high fecundity, and broad diet allows C. carpio to persist in refugia during dry years and capitalize on wet years when inundation of the floodplain enhances recruitment and facilitates spread. Management and control strategies for this invader should therefore incorporate hydrological variability by promoting intensive removal campaigns during dry years when populations are dominated by large fish confined in remnant water-bodies and, during wet years, carp harvest fisheries should be promoted to reduce population density when increased connectivity is likely to facilitate spread.
Assessment of a fisheries legal framework for potential development of an ecosystem approach to fisheries management in large rivers
Fisheries Management and Ecology, 2016
Most small-scale fisheries of large floodplain rivers are still managed under conventional top-do... more Most small-scale fisheries of large floodplain rivers are still managed under conventional top-down regulations that limit the application of an ecosystem approach to fisheries (EAF) due to inappropriate legal frameworks. Using the Parana–Paraguay River fisheries (Argentina) as an example, this study examines the extent to which existing provincial legislations can be prepared for the adoption of an EAF. An Ecosystem Fishing Legal Approach (EFLA) framework is proposed based on different criteria across an environmental–ecological, fishing, social, economic and institutional template. Policy Component Scores (PCS) and an Integrated Policy Legal Index (IPLI) were applied to assess the degree of compliance by current provincial legislations to EAF implementation. Cluster analysis was used to recognise the potential for articulating a legal framework at a basin scale. The EFLA framework, which provided an accurate picture of how provinces were poorly prepared to adopt an EAF for the Paraguay–Parana fisheries, and represents a suitable tool that can be adapted and extended to other basins around the world.
Patrones de distribución y abundancia de peces en ambientes intervenidos para producción forestal y ganadera en el Delta del río Paraná
Vivir sin humedales
El termino humedal es reciente, como tambien el reconocimiento de que este tipo de ecosistema es ... more El termino humedal es reciente, como tambien el reconocimiento de que este tipo de ecosistema es diferente respecto de los terrestres y los acuaticos. Las definiciones actuales ponen en evidencia que son los aspectos funcionales derivados de la presencia del agua, y no los estructurales, los que brindan la base para comprender el concepto de humedal. Las definiciones tambien expresan la necesidad de un abordaje interdisciplinario y sistemico para su comprension y gestion. Los humedales representan apenas el 5-7% de la superficie terrestre, pero revisten gran importancia por la cantidad y la calidad de los bienes y servicios que proveen a la sociedad, los cuales estan estrechamente ligados al funcionamiento hidrologico. En la Argentina, los humedales ocupan mas del 21% del territorio, presentando una amplia variedad de tipos diferentes. El estado actual de transformacion y degradacion de los humedales de nuestro pais hace necesario avanzar en la comprension de su funcionamiento y en ...
Marine and Freshwater Research
Context. There a large information gap on the spatial distribution and diversity of wetland types... more Context. There a large information gap on the spatial distribution and diversity of wetland types in South America. Aims. We focus on mapping the spatial distribution of broad wetland types in Argentina, based on the integration of open spatial data sources developed by national government agencies. Methods. We designed a two-tier process, as follows: we filtered broad wetland types described in the attributes of the spatial datasets and created a separate vector layer for each wetland class; we then ensembled the layers by populating a 25-m cell raster template. Key results. Our WetCarto_AR layer indicates that wetlands cover 13.5% of mainland Argentina, being distributed throughout the country with a greater concentration towards the northeast , but patchy in the rest of the country. Palustrine is the dominant wetlands class followed by Riparian and Lacustrine. Global datasets underestimated wetland coverage, although the same large wetlands are recognised in all. Conclusions. Our results make visible the known spatial extent of wetlands in Argentina and provide information to feed or validate global models. Implications. Results stress the importance of existing local databases, which, even when generated for other purposes, can be a starting point for country or region wetland mapping.
Los humedales como paisajes y los desafíos de su ordenamiento ambiental. Congreso Argentino de Ecología de Paisajes CAEP 2017 - Santiago del Estero
R se perfila como uno de los entornos más completos para realizar análisis de datos espacio-tempo... more R se perfila como uno de los entornos más completos para realizar análisis de datos espacio-temporales de grandes bases de datos abiertos satelitales. Presentamos un ejemplo de análisis de series temporales de productos MODIS para identificar áreas con distinto patrón de funcionamiento ecológico, usando medidas de correlación cruzada de series de tiempo y agrupamiento con redes neuronales autoorganizadas.Sociedad Argentina de Informática e Investigación Operativ
Revista de Teledetección
With the launch of the Sentinel-1 mission, for the first time, multitemporal and dual-polarizatio... more With the launch of the Sentinel-1 mission, for the first time, multitemporal and dual-polarization C-band SAR data with a short revisit time is freely available. How can we use this data to generate accurate vegetation cover maps on a local scale? Our main objective was to assess the use of multitemporal C-Band Sentinel-1 data to generate wetland vegetation maps. We considered a portion of the Lower Delta of the Paraná River wetland (Argentina). Seventy-four images were acquired and 90 datasets were created with them, each one addressing a combination of seasons (spring, autumn, winter, summer, complete set), polarization (VV, HV, both), and texture measures (included or not). For each dataset, a Random Forest classifier was trained. Then, the kappa index values (κ) obtained by the 90 classifications made were compared. Considering the datasets formed by the intensity values, for the winter dates the achieved kappa index values (κ) were higher than 0.8, while all summer datasets ach...
Effect of land use on the phytoplankton community of Pampean shallow lakes of the Salado River basin (Buenos Aires Province, Argentina)
Aquatic Ecology, 2021
The Salado River basin, Buenos Aires, Argentina, contains numerous permanent shallow lakes under ... more The Salado River basin, Buenos Aires, Argentina, contains numerous permanent shallow lakes under anthropic pressure due to different land uses/land covers (LULC) in their catchments. Here, we explored the relation of LULC in the surrounding areas and the physical and chemical variables of six shallow lakes of the aforementioned basin with phytoplankton structure and morpho-functional groups (MFGs) along one year and evaluated whether LULC or physical and chemical variables were more relevant in shaping phytoplankton structure. We hypothesized that: (1) shallow lakes with higher proportion of land committed to agriculture exhibit more eutrophic characteristics; (2) the phytoplankton structure and MFGs differ in shallow lakes with different LULC in their surrounding areas; and (3) LULC effects decrease with increase in buffer width. Landsat satellite images were used to extract LULC composition in three buffer zones surrounding each lake: 1, 2.5 and 5 km. In all the lakes studied, LULC had greater influence on phytoplankton MFGs than physical and chemical variables. This influence was highest for the 2.5 km buffer. The phytoplankton structure and some physical and chemical characteristics were also different between the shallow lakes studied. Cyanobacteria were widely detected, probably related to the high proportion of land dedicated to agriculture in the region. Chlorococcales, typical of these eutrophic systems, were also well represented. Our study evidenced the influence of LULC on the shallow lakes studied, particularly on the phytoplankton structure. The response of the planktonic microalgal communities to human activities in catchments evidences their value as sentinels of aquatic ecosystems.
Remote sensing of wetlands in South America: status and challenges
International Journal of Remote Sensing, 2017
ABSTRACT South America has a large proportion of wetlands compared with other continents. While m... more ABSTRACT South America has a large proportion of wetlands compared with other continents. While most of these wetlands were conserved in a relatively good condition until a few decades ago, pressures brought about by land use and climate change have threaten their integrity in recent years. The aim of this article is to provide a bibliometric analysis of the available scientific literature relating to the remote sensing of wetlands in South America. From 1960 to 2015, 153 articles were published in 63 different journals, with the number of articles published per year increasing progressively since 1990. This rise is also paralleled by an increase in the contribution of local authors. The most intensively studied regions are the wetland macrosystems of South American mega-rivers: the Amazon and Paraná Rivers, along with the Pantanal at the headwaters of Paraguay River. Few studies spanned more than two countries. The most frequent objectives were mapping, covering all types of wetlands with optical data, and hydrology, focusing on floodplain wetlands with microwave data as the preferred data source. The last decade substantial growth reflects an increase in technological and scientific capacities. Nevertheless, the state of the art regarding the remote sensing of wetlands in South America remains enigmatic. Fundamental questions and guidelines which may contribute to the understanding of the functioning of these ecosystems are yet to be fully defined and there is considerable dispersion in the use of data and remote-sensing approaches.
Actualización y profundización del mapa de endicamientos y terraplenes de la región del Delta del Paraná
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Papers by Priscilla Minotti