Peru

How to Improve Adoption of Agroforestry Systems Among Small Farmers in Peruvian Amazon

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This article surveys factors affecting the acceptibility rate of a multistrata agroforestry system.

Research Goals & Methods

Small farmers from three communities in central Peru were surveyed and data was collected on farm and houshold characteristics, cultivated crops and tree species, and agroforestry practices.

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Estimación de la cantidad de carbono capturado por el fuste del hualtaco (Loxopterigium huasango) en el bosque seco de Sullana, Piura - Perú

Esta investigación evalúa la habilidad del Hualtaco (Loxopterigium husango) de capturar el carbono en el Bosque Seco del Perú. Los datos de biomasa y carbono fueron obtenidos de forma directa con base a las muestras recolectadas del bosque seco semidenso de Colina del Distrito de Lancones, provincia de Sullana en la región Piura, Perú. Los autores presentan sus resultados incluyendo la fracción de carbono para la especie (0,47), el contenido promedio de carbono (66,61 kg) y carbono equivalente (245,41 kg) por individuo, y la correlación entre la cantidad de carbono otros indicadores de crecimiento.

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Performance of an Improved Fallow System in the Peruvian Amazon—Modelling Approach

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This research compares the ecological and economic potential of an improved leguminous tree fallow (using Inga edulis) to the traditional grass fallow (dominated by Imperata brasiliensis) in central Peru.

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Use of the Amazonian Tree Species Inga edulis for Soil Regeneration and Weed Control

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This article presents research on leguminous tree-based fallows using Inga edulis in Peru.

Research Goals & Methods

Four treatments were compared over a period of nearly 3 years: 1) natural fallow, 2) fallow with I. edulis, 3) fallow with I. edulis combined with a cover crop of kudzu (Pueraria phaseoloides), and 4) continuous cropping of cassava.

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Biomass Growth and Farmer Knowledge of Inga edulis in Peruvian Amazon

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This study develops an equation for diameter-based biomass estimation of Inga edulis. The tree is widely grown in the Peruvian Amazon as a naturally occurring early-successional tree and in small farms and gardens for fruit and fuelwood.

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How Successful is Tree growing for Smallholders in the Amazon?

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This study compares donor-driven and smallholder-initiated tree growing projects in the Amazon to assess outcomes such as tree survival, commercialization success, and environmental benefits of two different approaches to tree planting. Such research is important for understanding the limitations of both smallholder and donor-driven tree growing for reforestation, and for improving production of forest products outside of natural forests. The study also emphasizes the importance of capturing local knowledge.

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Landscape Rehabilitation of Degraded Tropical Forest Ecosystems: Case Study of the CIFOR/Japan Project in Indonesia and Peru

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The CIFOR/Japan project on tropical forest restoration involves three principal components: 1) evaluation of logging impacts on forest systems, 2) development of methods for the restoration of logged and degraded forests, and 3) development of silvicultural practices for degraded forests.

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Maya Nut Reforestation

Background

Maya Nut is an NGO that seeks to find balance between people, forests, and food. While they do not run a reforestation program directly, they do work closely with communities to reforest degraded lands throughout Latin America. The mission of the program is to conserve the Maya nut tree, Brosimum alicastrum, by planting trees and teaching rural and indigenous women to harvest and process the seed for food and income.

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Reforestation, coffee and carbon in Sierra Piura, Peru: can carbon financing promote sustainable agriculture?

Background

Previous research has suggested that certain agricultural practices can protect, enhance, and reverse environmental degradation. One way to achieve this beneficial connection can be encouraged is through financial mechanisms, such as payment for ecosystem services. This document examines a similar approach in which carbon revenues drive sustainable coffee agriculture in the Sierra Piura region of Peru. 

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Importance of Input Classification to Graph Automata Simulations of Forest Cover Change in the Peruvian Amazon

Background

In an area of Peru difficult for remote sensing imaging of deforestation and regeneration, the authors evaluate landcover and detect changes in landuse using novel data simulation techniques.

Research goals & Methods

The authors aim to compensate for remote assessments of deforestation or reforestation that may be strongly dependent on the seasonality of input images. To do this, they ran graph automata simulations while varying forest cover inputs to model land cover change. 

Open access copy available
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