• Bactrocera minax is an economically important pest of citrus.• Protein supplements showed a positive effect on the survival and reproduction of adults B. minax.• These findings provide deeper understanding of the biological characteristics of B. minax that could be utilized for an effective control.
The evaluation of deforestation by optical remote sensing remains a challenge in the humid tropical region due to high cloud cover. This paper develops a simple and reproducible method for mapping deforestation of the old-growth forest using open access software. A map of old-growth forest depletion was created using composites from three different dates (2003, 2010, 2016). Four models were tested: the first model using spectral bands (nir, swir1, swir2 and red), the second model was based on the association of spectral bands and spectral indices (NDVI, B54R, NDWI and NBR), the third model was constructed using spectral bands and geomorphological indices (DEM, Slope and Roughness) and the last model combined spectral bands, spectral indices and geomorphological indices. The optimal random forest ntrees and Mtry parameters were determined for each model to optimize the mapping in each model. The out-of-bag error for these four models was 2.15 %, 2.05 %, 1.86 % and 1.85 %, respectively. The fourth model had the lowest error and was hence used to predict deforestation of the old-growth forest. The annual rates of deforestation amounted 0.26 % (69861 ha) and 0.66 % (145768 ha) between 2003 – 2010 and 2010 – 2016, respectively. The area of the old-growth forest in 2016 was 3601607 ha and 215629 ha of forest lost between 2003 and 2016. These results showed that the Random Forest Classification (RFC) model was able to effectively map the reduction of old-growth forests.
The challenge with respect to nourishing the human population should be met in the context of global environmental change. Land‐use change has the potential to affect insect pest–natural enemy interactions.
In the Democratic Republic of Congo, the rainforest zone is subjected to intense anthropogenic disturbances that lead to the spread of habitats with a higher proportion of grasses in the landscape. Such a land‐use change raises the question of its effects on the biological control of insect pests.
The proximity of varying vegetation types around agroecosystems is expected to influence species fitting differently and hence the population dynamics of insect pests and their biological control.
Thus, the response of maize stemborers and their parasitoids to the spread of habitats with a higher proportion of grasses was assessed along an anthropogenic disturbance gradient in the rainforest zone of Kisangani, Democratic Republic of Congo.
The present study identified a decreased density of stemborers and infestation rates on maize as a result of an increased larval/pupal parasitism in wild habitats as the amount of grasses increased in the landscape. This effect was attributed to an increased parasitoid diversity subsequent to the settlement of an abundant and diverse stemborer community in wild habitats.
The Ituri-Epulu-Aru landscape (IEAL) is experiencing deforestation and forest degradation. This deforestation is at the root of many environmental disturbances in a region characterized by endemism in biodiversity. The importance of this article is to provide useful information for those who wish to discuss a model that can be replicated for other territories affected by deforestation and changes in natural and anthropogenic forest structure. This article focuses on the triangulation of spatialized prospective scenarios in order to identify future trajectories based on the knowledge of historical dynamics through the diachronic analysis of three satellite images (2003–2010–2014–2016). The scenarios were designed in a supervised model implemented in the DINAMICA EGO platform. The three scenarios: business as-usual (BAU), rapid economic growth (REG) and sustainable management of the environment (SME), extrapolating current trends, show that by 2061 this landscape will always be dominated forests (+84%). Old-growth forests occupy 74.2% of the landscape area in the BAU scenario, 81.4% in the SEM scenario and 61.2% in the REG scenario. The SEM scenario gives hope that restoration and preservation of biodiversity priority habitats is still possible if policy makers become aware of it.
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