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forest based » forecast based (Expander búsqueda), forecasts based (Expander búsqueda), test based (Expander búsqueda)
forest based » forecast based (Expander búsqueda), forecasts based (Expander búsqueda), test based (Expander búsqueda)
1
artículo
Publicado 2017
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One of the major challenges in ecology is to understand how ecosystems respond to changes in environmental conditions, and how taxonomic and functional diversity mediate these changes. In this study, we use a trait-spectra and individual-based model, to analyse variation in forest primary productivity along a 3.3 km elevation gradient in the Amazon-Andes. The model accurately predicted the magnitude and trends in forest productivity with elevation, with solar radiation and plant functional traits (leaf dry mass per area, leaf nitrogen and phosphorus concentration, and wood density) collectively accounting for productivity variation. Remarkably, explicit representation of temperature variation with elevation was not required to achieve accurate predictions of forest productivity, as trait variation driven by species turnover appears to capture the effect of temperature. Our semi-mechanist...
2
artículo
Publicado 2025
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Forest volume modeling plays a fundamental role in forest inventory, biomass estimation, and the sustainable management of timber resources. In the Amazon region of Peru, native species such as Calycophyllum spruceanum and Cedrelinga cateniformis hold high ecological and commercial value, yet remain understudied in terms of volumetric estimation. This study aimed to develop and evaluate volumetric models for both species across three ecological zones—humid forest, very humid forest, and dry forest—representing the environmental diversity of the northeastern Peruvian Amazon. A total of 18 volumetric models were fitted for each species and site condition using linear regression techniques. Model performance was assessed through adjusted coefficient of determination (R²adj), root mean square error (RMSE), mean absolute error (MAE), Akaike Information Criterion (AIC), and diagnostic ana...
3
artículo
Publicado 2023
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Forest fires are a potential threat to life, as they contribute to reducing forest areas, impact on the services we expect from ecosystems, the health of the inhabitants is affected by smoke and the economic costs for the recovery of affected areas is high. The objective of the study is to apply fuzzy logic to model the risk of forest fires in the Cajamarca-Peru region, incorporating variables that represent biological, topographic, socioeconomic, and meteorological factors. The analysis was based on the acquisition, editing and rasterization of the database, application of fuzzy membership functions and image fuzzification, fuzzy superposition and spatial reclassification of forest fire risk. The results obtained show that 71.68% of the area is under very low or medium forest fire risk. However, 28.32% of the study area has a high to very high fire risk, which makes the occurrence of fi...
4
artículo
Publicado 2019
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We study the diet and trophic structure of 36 bat species from the Pampa Hermosa National Sanctuary. Faeces samples and gels with pollen were analyzed; seeds, pollen and remains of arthropods were found in the feces. Bats were classified in six functional groups. We found in the diet of the sedentary frugivores (FS), frugivorous nomads (FN) and nectarivores (N), 70 morphospecies of seed and pollen; in the diet of the aerial insectivorous (IA) and foliage gleaners (IR), nine morphospecies of arthropods. Principal component analysis shows the separation of bats and their diets; Carollia brevicauda-Piperaceae (Piper spp.), Vampyressa melissa-Moraceae (Ficus spp.), Sturnira lilium-Solanaceae; Anoura peruana and Anoura cultrata were separated by the consumption of Fabaceae and Bombacaceae, respectively, and Myotis spp. for the consumption of arthropods. The niche breadth was less than 0.50, i...
5
artículo
Publicado 2019
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We study the diet and trophic structure of 36 bat species from the Pampa Hermosa National Sanctuary. Faeces samples and gels with pollen were analyzed; seeds, pollen and remains of arthropods were found in the feces. Bats were classified in six functional groups. We found in the diet of the sedentary frugivores (FS), frugivorous nomads (FN) and nectarivores (N), 70 morphospecies of seed and pollen; in the diet of the aerial insectivorous (IA) and foliage gleaners (IR), nine morphospecies of arthropods. Principal component analysis shows the separation of bats and their diets; Carollia brevicauda-Piperaceae (Piper spp.), Vampyressa melissa-Moraceae (Ficus spp.), Sturnira lilium-Solanaceae; Anoura peruana and Anoura cultrata were separated by the consumption of Fabaceae and Bombacaceae, respectively, and Myotis spp. for the consumption of arthropods. The niche breadth was less than 0.50, i...
6
artículo
Publicado 2023
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A review of the situation of forest management in Peru is carried out, particularly in the Amazon region, using the United Nations' definition of sustainable forest management as a reference. This definition is based on: (i) the extent of forest resources; (ii) forest biological diversity; (iii) the health and vitality of forests; (iv) productive functions; (v) protective functions; (vi) socio-economic functions; and (vii) the regulatory, institutional, and policy framework. Based on the review of available information on these aspects, the current situation of deforestation is illustrated, which reduces forest coverage and diminishes the provision of ecosystem services. Risks of unsustainability in the utilization of certain resources, such as species listed in the CITES Convention, are identified. Inappropriate situations regarding limited access to resources for certain stakeholders a...
7
artículo
Coordinated biodiversity monitoring systems: an multiscalar unificated approach in forest landscapes
Publicado 2023
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The global biodiversity decrease implies the necessity to study the state of the ecosystem, not only in preserved places but also in landscapes with diversified land use and territories currently under use. Considering the national efforts to gather biological data in Peru as in México and several diverse international referents, from the generation, implementation, and analysis of monitoring biodiversity protocols in forest management areas in both countries, a unified biodiversity monitoring protocol for forest use areas was elaborated through a logical and inclusive process. This protocol is capable of generating data in three different territorial approximation levels, and it can be used in several ecological conditions. The different stages of development of all the activities were implemented for a team divided into two sections with complementary functions: a) Situational analysi...
8
artículo
Publicado 2025
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In Peru, informal use of the Amazon forests predominates, in violation of the regulatory measures that regulate forest harvesting activities. Despite a series of factors that limit or hinder the application of sustainable forest management (SFM), there are positive experiences that show high standards in the management practiced over the years. The objective of this article is to show the level reached by some successful forest management initiatives in the Madre de Dios Region and how they contribute to improving the model of forest concessions for timber purposes (CFM) in the country. This model, introduced into Peruvian legislation in the 2000s, currently has more than 9.7 million hectares under concession, although the CFM that are operational cover only 2.4 million hectares. Madre de Dios is the region with the largest area of certified forest in the country, with six CFM totaling 6...
9
artículo
Publicado 2025
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This study was carried out in the Loretillo forest concession (No. 17-TAM/C-OPB-A-026-07), located in the Las Piedras River conservation corridor in Tambopata, Madre de Dios. The main objective was to conduct an inventory of wildlife species, focusing on their use as bioindicators of the ecosystems within the concession. The study considered variables such as the species composition of flora, birds, and mammals, as well as the ecosystem services they provide (ESS). To this end, eight Permanent Sampling Plots (PSPs) and linear transects were established, distributed across two predominant ecosystem types: alluvial flooded forest (B-ai) and lowland hill forest (B-cb). The analyses included alpha and beta diversity indices, ecological importance values (IVI), and parameters related to threatened species. The B-ai ecosystem was found to have greater biological richness and diversity. T...
10
artículo
Publicado 2022
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The Guazuma crinita Mart. is a dominant species of great economic importance for the inhabitants of the Peruvian Amazon, standing out for its rapid growth and being harvested at an early age. Understanding its vertical growth is a challenge that researchers have continued to study using different hypsometric modeling techniques. Currently, machine learning techniques, especially artificial neural networks, have revolutionized modeling for forest management, obtaining more accurate predictions; it is because we understand that it is of the utmost importance to adapt, evaluate and apply these methods in this species for large areas. The objective of this study was to build and evaluate the efficiency of the use of a deep neural network for the prediction of the total height of Guazuma crinita Mart. from a large-scale continuous forest inventory. To do this, we explore different confi...
11
artículo
Publicado 2021
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Key message: Soil pH, EC, and salinity explain the leaf nutrient concentrations of Prosopis pallida despite the high amount of soil nutrients near the trees. Abstract: Dryland forests constantly face extreme abiotic conditions, and this affects plant growth and nutrition. We have determined the effects of soil chemical attributes and soil nutrients on the leaf nutrient concentrations of eight Prosopis pallida populations located along a climatic gradient in the North-Peruvian dryland forests. We analyzed the leaf chemical composition (N, P, K, Ca, Mg, Fe, Mn, Cu, and Zn), as well as soil chemical attributes [texture, pH, salinity (electrical conductivity; EC), and the sodium adsorption ratio (SAR)] and soil nutrient concentrations (the same elements as in the leaves) at 2 m from the base of each tree. The soil and leaf nutrient concentrations were not associated with the climatic gradien...
12
tesis de maestría
Publicado 2020
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Universidad Nacional Agraria La Molina. Escuela de Posgrado. Maestría en Economía de los Recursos Naturales y del Ambiente
13
artículo
Publicado 2020
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Key message Soil pH, EC, and salinity explain the leaf nutrient concentrations ofProsopis pallidadespite the high amount of soil nutrients near the trees. Dryland forests constantly face extreme abiotic conditions, and this affects plant growth and nutrition. We have determined the effects of soil chemical attributes and soil nutrients on the leaf nutrient concentrations of eightProsopis pallidapopulations located along a climatic gradient in the North-Peruvian dryland forests. We analyzed the leaf chemical composition (N, P, K, Ca, Mg, Fe, Mn, Cu, and Zn), as well as soil chemical attributes [texture, pH, salinity (electrical conductivity; EC), and the sodium adsorption ratio (SAR)] and soil nutrient concentrations (the same elements as in the leaves) at 2 m from the base of each tree. The soil and leaf nutrient concentrations were not associated with the climatic gradient and were high...
14
artículo
Publicado 2025
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This study was carried out in the Loretillo forest concession (No. 17-TAM/C-OPB-A-026-07), located in the Las Piedras River conservation corridor in Tambopata, Madre de Dios. The main objective was to conduct an inventory of wildlife species, focusing on their use as bioindicators of the ecosystems within the concession. The study considered variables such as the species composition of flora, birds, and mammals, as well as the ecosystem services they provide (ESS). To this end, eight Permanent Sampling Plots (PSPs) and linear transects were established, distributed across two predominant ecosystem types: alluvial flooded forest (B-ai) and lowland hill forest (B-cb). The analyses included alpha and beta diversity indices, ecological importance values (IVI), and parameters related to threatened species. The B-ai ecosystem was found to have greater biological richness and diversity. T...
15
artículo
Publicado 2024
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In a time of rapid global change, the question of what determines patterns in species abundance distribution remains a priority for understanding the complex dynamics of ecosystems. The constrained maximization of information entropy provides a framework for the understanding of such complex systems dynamics by a quantitative analysis of important constraints via predictions using least biased probability distributions. We apply it to over two thousand hectares of Amazonian tree inventories across seven forest types and thirteen functional traits, representing major global axes of plant strategies. Results show that constraints formed by regional relative abundances of genera explain eight times more of local relative abundances than constraints based on directional selection for specific functional traits, although the latter does show clear signals of environmental dependency. These re...
16
tesis de grado
Implementación de un sistema señalético y nueva identidad visual para el Vivero Forestal de Chimbote
Publicado 2022
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El siguiente proyecto tiene como objetivo diseñar un sistema visual unificado y versátil, capaz de brindar una experiencia visual y de valor única a los usuarios del Vivero Forestal de Chimbote. Para ello se desarrolló en desarrollar una identidad visual corporativa que comunique conceptos representativos del recinto, y que además cumpla con la apropiada escalabilidad, simplicidad y representatividad. Por otro lado, también se busca implementar un sistema que se armonice con el ambiente, y sea reconocido por los usuarios, logrando que puedan recorrer el vivero sin desorientarse o perderse de ninguna atracción. Ahora bien, dichos objetivos nacen en base a que a las personas les cuesta ubicarse dentro del lugar, esto debido a que el vivero no cuenta con un sistema señalético actualizado. Lo que provoca que la experiencia de usuario se vea perjudicada. La relevancia del proyecto se...
17
artículo
Publicado 2023
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A review of the situation of forest management in Peru is carried out, particularly in the Amazon region, using the United Nations' definition of sustainable forest management as a reference. This definition is based on: (i) the extent of forest resources; (ii) forest biological diversity; (iii) the health and vitality of forests; (iv) productive functions; (v) protective functions; (vi) socio-economic functions; and (vii) the regulatory, institutional, and policy framework. Based on the review of available information on these aspects, the current situation of deforestation is illustrated, which reduces forest coverage and diminishes the provision of ecosystem services. Risks of unsustainability in the utilization of certain resources, such as species listed in the CITES Convention, are identified. Inappropriate situations regarding limited access to resources for certain stakeholders a...
18
artículo
Publicado 2014
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One of main factors identified as explaining forest loss and degradation in the Selva (the Peruvian Amazon) is the migration of people from the Sierra (Andes highlands), where agricultural conditions are severe, to forest areas in the Selva in search of new land. This paper aims at clarifying the characteristics and process of migration based on interviews with local people near Pucallpa, Ucayali Department, where forest loss and degradation has advanced in recent decades. In the study area, forest loss and degradation progressed by commercial logging after construction of a road connecting between Lima and Pucallpa in 1943. After logging, stock-farming companies and immigrants entered the area, and land uses other than high forest have been expanding. Today, the study area is occupied by people who have immigrated since the 1960s. Many of them earned income by logging until the 1980s, w...
19
artículo
Publicado 2019
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Nowadays, the impacts of climate change are harming many countries around the world. For this reason, the scientific community is interested in improving methods to forecast weather events, so it is possible to avoid people from being injured. One important thing in the development of time series forecasting methods is to consider the set of values over time that facilitates the prediction of future value. In this sense, we propose a new feature vector based on the correlation and autocorrelation functions. These measures reflect how the observations of a time series are related to each other. Then, univariate forecasting is performed using Multilayer Perceptron (MLP) and Long Short-Term Memory (LSTM) deep neural network. Finally, we compared the new model with linear and non-linear models. Reported results exhibit that MLP and LSTM models using the proposed feature vector, they show pro...
20
artículo
Publicado 2022
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The Guazuma crinita Mart. is a dominant species of great economic importance for the inhabitants of the Peruvian Amazon, standing out for its rapid growth and being harvested at an early age. Understanding its vertical growth is a challenge that researchers have continued to study using different hypsometric modeling techniques. Currently, machine learning techniques, especially artificial neural networks, have revolutionized modeling for forest management, obtaining more accurate predictions; it is because we understand that it is of the utmost importance to adapt, evaluate and apply these methods in this species for large areas. The objective of this study was to build and evaluate the efficiency of the use of a deep neural network for the prediction of the total height of Guazuma crinita Mart. from a large-scale continuous forest inventory. To do this, we explore different configurati...
