Examinando por Autor "Guzman Valqui, Betty Karina"

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An ecological modelling approach to support Peru wildlife conservation planning based on geospatial datasets and remote sensing information
(John Wiley & Sons Ltd., 2026-05-05) Cotrina Sanchez, Alexander; Rojas Briceño, Nilton; Guzman Valqui, Betty Karina; Valentini, Riccardo; Vaglio Laurin, Gaia
Peru, a megadiverse country, has developed conservation plans for some threatened wildlife species. This study produced spatially explicit data integrating Species Distribution Models (SDMs) into a geospatial analysis of connectivity within the protected areas (PAs) network. In addition, a deforestation analysis around selected PAs was performed evaluating the related conservation implications. The use of lidar-derived vegetation vertical structure metrics from the spaceborne Global Ecosystem Dynamics Investigation (GEDI) mission was tested as an innovative data source to support ecological modelling. This country-level analysis is a useful approach to support conservation in high-biodiversity areas. Location: Peru. Methods: Occurrence data of seven threatened wildlife species were used to compute SDMs in MaxEnt using three variable sets: (i) bioclimatic and topographic, (ii) GEDI vegetation structure metrics joined with Normalized Difference Vegetation Index (NDVI), and (iii) a combination of both. MaxEnt was explicitly calibrated by testing 126 candidate models per species across feature-class and regularization multiplier combinations. SDMs combined with auxiliary data were used to identify core areas, then connected through main ecological corridors (ECs) using geospatial analysis. Deforestation rates were computed in the buffer zones (BZ) of Protected Natural Areas (PNAs) identified as core areas. GEDI lidar-derived data were also used to compare forest degradation between two PNAs and their BZ. Results: This ecological modelling effort identified several core conservation areas, as well as the main ecological corridors interconnecting them. The study showed that highly suitable habitats are currently poorly represented by the present Peru protected areas network, particularly for primates. Test Area Under Curve (AUC) values ranged from 0.867 to 0.995; the Biotopveg set, integrating bioclimatic, topographic, GEDI, and NDVI variables was optimal for three species and the bioclimatic-topographic set for four, suggesting a species-specific contribution of vegetation structural data. GEDI data were used to detect forest degradation gradients, in accordance with known anthropogenic impacts. Deforestation analysis showed that even if indirect use protected areas resulted in less affected by deforestation in their surroundings, notable exceptions occur, calling for additional measures to support human-wildlife coexistence. Main Conclusions: Ecological modelling based on SDMs and spatial analyses can support species conservation plans and landscape connectivity at broader planning scales. GEDI provides valuable data as input in SDMs and supports detecting forest degradation.
Effectiveness of protected areas in containing the loss of Peruvian Amazonian forests
(Elsevier, 2025-01-11) Rojas Briceño, Nilton B.; Cajas Bravo, Verónica; Pasquel Cajas, Alexander; Guzman Valqui, Betty Karina; Silva López, Jhonsy O.; Veneros, Jaris; García, Ligia
Peruvian Amazonian Forests (PAF), vital for biodiversity, climate, and human well-being, lost 2.92M ha during 2001-2022, mainly due to anthropogenic activities. This prompted strategies to conserve and protect the PAF, such as land use and natural resource restrictions, with natural protected areas (NPAs) being the main strategy. This study evaluated the effectiveness of 41 NPAs in containing deforestation in the PAF by analyzing national spatial data. An Effectiveness Index (EI) was constructed by adding five standardized parameters: (1) the percentage of deforested area (DA%) and (2) its annual rate of change (DAr) between 2000 and 2022 inside each NPA, (3) the difference in DAr between NPAs and their surrounding areas, (4) their corresponding ecoregions, and (5) the entire PAF. In 2000, the DA% was 7.15% of the PAF, increasing to 10.88% in 2022. NPAs showed lower DAr than their surrounding areas and ecoregions, except for five NPAs. Of the 41 NPAs, nine were non-effective (EI≤3), 31 moderately effective (3
Forest structure and fragmentation dynamics in cacao-producing landscapes of Amazonas, Peru, revealed by multi-temporal land-use change and spaceborne LiDAR
(Springer Science+Business Media, LLC, part of Springer Nature, 2026-05-27) Cotrina Sanchez, Alexander; Barboza, Elgar; Veneros, Jaris; Huaman Pilco, Angel Fernando; García, Ligia; Guzman Valqui, Betty Karina; Oliva, Manuel; Rojas Briceño, Nilton B.; Torresani, Michele
The ongoing loss and degradation of tropical forests poses a significant threat to biodiversity, carbon storage, and ecosystem services throughout the Amazon Basin. Agroforestry systems such as cacao cultivation can help balance production and conservation, yet integrated analyses combining spatial and structural forest data remain limited. This study integrates multi-temporal land-use/land-cover (LULC) data, fragmentation metrics, and canopy indicators from the Global Ecosystem Dynamics Investigation (GEDI) mission to assess forest transformation across two contrasting cacao-producing landscapes in the Amazonas region of Peru. LULC dynamics (1985–2020) were derived from the 30m Global Land Cover Change Dataset (GLC_FCS30D), with 2020 used as a baseline consistent with the European Union Deforestation Regulation (EUDR). The 2020 forest/non-forest map was compared with the 10m Global Forest Cover 2020 product to quantify fragmentation across multiple grid sizes. GEDI L2A and L2B data provided structural metrics, including relative height (RH25–RH98), plant area index (PAI), foliage height diversity (FHD), and canopy cover, which were linked to fragmentation indicators. In the indigenous territories of Condorcanqui, cacao landscapes maintained stable forest cover, while rural areas in Bagua and Utcubamba showed greater forest loss and landscape modification. Fine-scale (10m) data revealed localised zones of conservation and degradation, particularly in lowland cacao areas. Taller, more structurally complex canopies were associated with less fragmented forests, whereas shorter and more heterogeneous structures reflected long-term disturbance. Integrating spaceborne LiDAR with multi-scale fragmentation metrics provides robust indicators of forest integrity, supporting sustainable cacao agroforestry management and conservation plannin.
Geographic information system applications in bee research
(MDPI, 2026-05-29) Rojas Briceño, Nilton B.; Silva López, Jhonsy O.; Guzman Valqui, Betty Karina; Ix Balam, Manuel A.; Ramos Tejeda, José L.; Oliva Cruz, Manuel; Veneros, Jaris; García, Ligia
Bees play crucial ecological, economic, and environmental roles, and research on them increasingly includes a spatial dimension. Geographic Information Systems (GISs) enable the acquisition, storage, analysis, management, and visualization of spatial data. However, GIS applications in bee research have expanded while remaining dispersed across topics, tools, taxa, and methodological approaches. This study provides a comprehensive and updated review of GIS applications in bee research by integrating bibliometric analysis with a structured synthesis of GIS purposes and techniques. A total of 228 publications were analyzed to assess publication trends, co-authorship patterns, keyword themes, study areas, taxonomic coverage, GIS application themes, and methodological tools. GIS was used to select suitable apiary sites, map floral resources, analyze bee behavior, assess diseases and pests, monitor bee products, evaluate urban and landscape contexts, and predict climate change effects. The main GIS-related approaches included multicriteria decision analysis (MCDA), remote sensing, species distribution models (SDMs), spatial interpolation, WebGIS platforms, and emerging machine-learning applications. The review also identified underrepresented taxa, especially wild bees, stingless bees, and other Apis species. Future advances should integrate MCDA with data-driven models, improve floral-resource mapping with remote sensing, and strengthen reproducibility through standardized spatial data and workflows.
Habitat Suitability Distribution of Genus Gynoxys Cass. (Asteraceae): An Approach to Conservation and Ecological Restoration of the Andean Flora in Peru.
(MDPI, Basel, Switzerland., 2025-03-10) Coronel Castro, Elver; Meza Mori, Gerson; Pariente Mondragon, Eli; Haro, Nixon; Oliva Cruz, Manuel; Barboza , Elgar; Amasifuen Guerra, Carlos A.; Revilla Pantigoso, Italo; Tariq , Aqil; Guzman Valqui, Betty Karina
The study used species distribution models (MaxEnt) to analyze the ecological suitability of the genus Gynoxys in Peru. Bioclimatic, edaphic and topographic variables were integrated to predict areas with high development potential. Potential distribution maps were generated, and model validation showed outstanding performance (AUC > 0.9). The results indicated that variables such as minimum temperature in the warmest season and soil moisture are determinants in the distribution of the Discoide, Gynoxys and Praegynoxys clades. It is concluded that the conservation of the genus requires protection strategies to ensure the sustainability of these montane ecosystems.
Human-wildlife interaction, conflict, and coexistence: Bibliometric analysis from Scopus (1987–2023)
(Malque Publishing, 2025-07-18) Guzman Valqui, Betty Karina; Silva López, Jhonsy O.; Rojas Briceño, Nilton B.
Human interactions with wildlife range from conflict (negative) to coexistence (positive or neutral). The scientific interest in this topic is increasing rapidly, although the terminology used varies among authors. This study presents a bibliometric analysis of literature on human–wildlife interaction, conflict, and coexistence (HWCICx) from 1987 to October 2023 using Scopus data analyzed with VOSviewer and the Bibliometrix package in R. An exponential rise in publications was identified between 1995 and 2022, confirming HWCICx as an emerging yet robust research field. The United States and the United Kingdom lead in publication volume and international collaboration, whereas researchers from Asia and Latin America show growing involvement. Journals specializing in ecology, conservation, and wildlife, such as Biological Conservation, Oryx, and Human–Wildlife Interactions, dominate the field, although newer specialized journals are gaining visibility. Predominant research topics include carnivore–livestock conflicts and species conservation. However, new areas of interest are emerging, including urban wildlife interactions and the sociocultural aspects of coexistence. This study offers an updated overview of the evolution of HWCICx research and highlights the need for integrated natural and social science approaches to develop sustainable models of coexistence.
Manejo integrado de mosca blanca en el cultivo de palto en Moquegua
(Instituto Nacional de Innovación Agraria (INIA), 2025-12-30) Guerrero Tafur, Lorenzo; Espinoza Rojas, Merlyn; Guzman Valqui, Betty Karina
Las moscas blancas (Familia: Aleyrodidae) de las especies Aleuropleurocelus sp. y Paraleyrodes sp., son las principales plagas que afectan al cultivo de palto en Moquegua. Son insectos pequeños, de apenas 1 a 3 mm de tamaño, los adultos tienen el cuerpo y las alas cubiertas por un polvillo ceroso de color blanco, que puede estar protegiendo los huevos o estados inmaduros. La hembra pone los huevos en el envés de las hojas. Dependiendo de la especie, el clima y la planta de la cual se alimentan, puede poner desde 48 hasta 500 huevos. Su ciclo de vida es corto, en promedio 28 días (Ortega-Arenas y Carapia-Ruiz, 2020 citando a Butler 1982; Byrne et al. 1990; Gill 1990; Byrne y Bellows 1991), lo que favorece su rápida reproducción y dispersión en los cultivos de palto.
Manejo integrado de queresas en el cultivo de limón sutil en Moquegua
(Instituto Nacional de Innovación Agraria (INIA), 2025-12-30) Guerrero Tafur, Lorenzo; Espinoza Rojas, Merlyn; Guzman Valqui, Betty Karina
El limón sutil (Citrus aurantifolia) es una variedad de lima ácida muy apreciada en la gastronomía peruana. Se reconoce por sus frutos pequeños, de cáscara delgada, pulpa jugosa, muy ácida y con un aroma intenso. En la región Moquegua aún no hay grandes extensiones cultivadas, pero en los últimos años su producción se ha venido incrementando. Este cultivo tiene un gran potencial, ya que puede convertirse en una alternativa rentable, tanto para el mercado nacional como para el internacional. En la Estación Experimental Agraria Moquegua se ha instalado una parcela demostrativa de limón sutil con el objetivo de mostrar el manejo adecuado de este cultivo y promover su producción. Con la finalidad de fortalecer la iniciativa productiva de los agricultores locales, se pone a disposición los principios básicos para el manejo integrado de las queresas que afectan a este cultivo en la región. Este manejo se basa en el uso de métodos combinados, compatibles, rentables y respetuosos con el ambiente.