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Income diversification among households living in forest margins helps to maintain a sustainable livelihood. Reducing forest dependency helps in-situ conservation of biodiversity thereby conserving forest resources. This paper presents evidence of income diversification and its effects on forest resource extraction by rural communities living in forest margins. Diversified income sources of typical households include crop farming, off-farm employment, animal husbandry, home gardening and extraction of non-timber forest products and fuelwood. The calculated mean indexes of diversification for the households in forest margins under investigation were 2.53, 2.57, 2.19 and 2.25. Results of the analysis show that the income diversification index had a negative and significant effect on dependency of rural households on forest resource extraction for three forest reserves. A positive relation between the index of income diversification and total income indicates an increase in household income due to increasing diversification income sources. However, given the complex nature of protecting natural forests, income diversification should be part of a broader integrated policy goal to protect natural forests.

Highly Pathogenic Avian Influenza (HPAI) subtype H5N1 poses severe threats to both animals and humans. Investigating where, when and why the disease occurs is important to help animal health authorities develop effective control policies. This study takes into account spatial and temporal occurrence of HPAI H5N1 in the Red River Delta of Vietnam. A two-stage procedure was used: (1) logistic regression modeling to identify and quantify factors influencing the occurrence of HPAI H5N1; and (2) a geostatistical approach to develop monthly predictive maps. The results demonstrated that higher average monthly temperatures and poultry density in combination with lower average monthly precipitation, humidity in low elevation areas, roughly from November to January and April to June, contribute to the higher occurrence of HPAI H5N1. Provinces near the Gulf of Tonkin, including Hai Phong, Hai Duong, Thai Binh, Nam Dinh and Ninh Binh are areas with higher probability of occurrence of HPAI H5N1.

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The miconia (Miconia calvescens) invasion of the East Maui Watershed (EMW) started from a single introduction over 40 yr ago, establishing a nascent patch network spread across 20,000 ha. In 2012, an accelerated intervention strategy was implemented utilizing the Herbicide Ballistic Technology (HBT) platform in a Hughes 500D helicopter to reduce target densities of seven nascent patches in the EMW. In a 14-mo period, a total of 48 interventions eliminated 4,029 miconia targets, with an estimated 33% increase in operations and 168% increase in recorded targets relative to the adjusted means from 2005 to 2011 data (prior to HBT adoption). This sequence of interventions covered a total net area of 1,138 ha, creating a field mosaic of overlapping search coverage (saturation) for each patch (four to eight interventions per patch). Target density reduction for each patch fit exponential decay functions (R2 > 0.88, P < 0.05), with a majority of the target interventions spatially assigned to the highest saturation fields. The progressive decay in target density led to concomitant reductions in search efficiency (min ha−1) and herbicide use rate (grams ae ha−1) in subsequent interventions. Mean detection efficacy (± SE) between overlapping interventions (n = 41) was 0.62 ± 0.03, matching closely with the probability of detection for a random search operation and verifying imperfect (albeit precise) detection. The HBT platform increases the value of aerial surveillance operations with 98% efficacy in target elimination. Applying coverage saturation with an accelerated intervention schedule to known patch locations is an adaptive process for compensating imperfect detection and building intelligence with spatial and temporal relevance to the next operation.

Coffee production is a major source of income for farmers in the DakLak province in Vietnam. Although Vietnam is one of the largest coffee producers in the world, research to improve the coffee industry is lacking, in particular, evaluating production efficiency in coffee farming could highlight factors that improve technical efficiency. The overall objective of this study is to estimate the technical efficiency of coffee production and determine which factors affect technical efficiency of small holder coffee farmers in the Krong Ana Watershed of the DakLak province. Based on the stochastic production frontier, the estimated mean technical efficiency scores were 0.7466 and 0.6836 respectively for the Cu Kuin district and the three combined districts (Krong Ana, Krong Bong and Lak). Formal education of the household head, amount of financial credit obtained, ethnicity, coffee farming experience of the household head, and agricultural extension service used were key factors that can increase technical efficiency in coffee production.

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