(Theobald) (sorghum aphid), (= Zehntner) (Hemiptera: Aphididae), is an invasive pest of (L.) in North America. Over 19 species of predators and parasitoids have been found to prey on . Natural enemies may reside in vegetation such as sorghum in cultivation (in-season) and persist after harvest (off-season), in Johnson grass () (L.) and riparian areas consisting of shrubs and grasses, including Johnson grass. The objective was to assess the ability of these vegetation types to harbor natural enemies during and between annual grain sorghum production. Predator diversity was greatest in riparian vegetation in-season, with twelve species detected across seven families, and four orders of insects. Six lady beetle (Coleoptera: Coccinellidae) species were abundant in-season, and (L.) persisted at relatively high abundance off-season. Parasitoid diversity was more limited (two primary parasitoids and one hyperparasitoid detected) with the primary parasitoids commonly detected. (Howard) (Hymenoptera: Aphelinidae), accounted for 85% and 57% of parasitoids in- and off-season, respectively. abundance was steady across the annual sorghum season in all vegetation types. Results from this study will inform land-management strategies on how diverse vegetations can play a role in the biological control of
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http://dx.doi.org/10.3390/insects13070606 | DOI Listing |
Sci Rep
January 2025
Institute of Crop Science and Resource Conservation, University of Bonn, Katzenburgweg 5, D-53115, Bonn, Germany.
Climate change significantly challenges smallholder mixed crop-livestock (MCL) systems in sub-Saharan Africa (SSA), affecting food and feed production. This study enhances the SIMPLACE modeling framework by incorporating crop-vegetation-livestock models, which contribute to the development of sustainable agricultural practices in response to climate change. Applying such a framework in a domain in West Africa (786,500 km) allowed us to estimate the changes in crop (Maize, Millet, and Sorghum) yield, grass biomass, livestock numbers, and greenhouse gas emission in response to future climate scenarios.
View Article and Find Full Text PDFBMC Plant Biol
December 2024
Department of Biology, College of Science, King Khalid University, Abha, 61413, Saudi Arabia.
Background: Subtropical forest plant diversity, characterized by a wide range of species adapted to seasonal variations, is vital for sustaining ecological balance, supporting diverse wildlife, and providing critical ecosystem services such as carbon sequestration and soil stabilization. The Changa Manga Forest, an ecologically rich area with varied vegetation, was analyzed to understand the intricate relationship between plant diversity and environmental factors. This study investigates the diversity patterns, vegetation structure, and environmental influences on forest biodiversity.
View Article and Find Full Text PDFBiometrics
October 2024
Department of Mathematics, National and Kapodistrian University of Athens, University Campus, Zografou, Athens 15784, Greece.
This study introduces an innovative cumulative link modeling (CLM) approach to monitor crop progress over large areas using remote sensing data. Two distinct models are developed, a fixed-effects CLM and a mixed-effects one that incorporates annual random effects to capture the inherent inter-seasonal variability. Inference is based on partial-likelihood with two law variations, the standard CLM based on the multinomial distribution and a novel one based on the product binomial distribution.
View Article and Find Full Text PDFEnviron Monit Assess
November 2024
Soil and Water Management Research Directorate, Sekota Dry-Land Agricultural Research Center, P.O. Box 62, Sekota, Ethiopia.
Watershed characterization is essential for sustainable watershed management and effective resource utilization, particularly in assessing changes resulting from interventions. This study investigates the biophysical and socio-economic conditions of the Agewmariam watershed, aiming to develop land capability and suitability maps while identifying viable management options. Biophysical data, including land slope, soil properties, erosion severity, stoniness/rockiness cover, and vegetation cover, were collected through field surveys and analyzed using overlay analysis in ArcGIS.
View Article and Find Full Text PDFHuan Jing Ke Xue
May 2024
Institute of Loess Plateau, Shanxi University, Taiyuan 030006, China.
Net ecosystem productivity (NEP) is an important index for the quantitative evaluation of carbon sources and sinks in terrestrial ecosystems. Based on MOD17A3 and meteorological data, the vegetation NEP was estimated from 2000 to 2021 in the Loess Plateau (LP) and its six ecological subregions of the LP (loess sorghum gully subregions:A1, A2; loess hilly and gully subregions:B1, B2; sandy land and agricultural irrigation subregion:C; and earth-rock mountain and river valley plain subregion:D). Combined with the terrain, remote sensing, and human activity data, Theil-Sen Median trend analysis, correlation analysis, multiple regression residual analysis, and geographic detector were used, respectively, to explore the spatio-temporal characteristics of NEP and its response mechanism to climate, terrain, and human activity.
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