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19 results for “crop damage”
Robust Damage Estimation of Typhoon Goni on Coconut Crops with Sentinel-2 Imagery
<p>Damage estimation status of coconut trees plantation in the Phillippines derived from Sentinel-2 Imagery. Overall we estimated that 14.1 M coconut trees were affected by the typhoon inside our area of study. Please refer to our <a href="https://www.mdpi.com/2072-4292/13/21/4302">original</a> publication for more details.</p> <p>0: Uncertain</p> <p>1: No Data</p> <p>2: Background class</p> <p>3: Unchanged coconut plantation</p> <p>4: Damaged coconut plantation</p> <p>5: New coconut plantation</p> <p> </p> <p> </p> <p> </p>
Fig. 1 in Percentage damage to tomatillo crops by Heliothis subflexa (Lepidoptera: Noctuidae) at various altitudes
Fig. 1. Percentages of tomatillo fruits infested by Heliothis subflexa along an altitudinal transect of tomatillo production areas in the state of Morelos, Mexico. The tomatillo field locations, m asl, and percentages of damaged fruits were as follows: Coatlán del Río (660 m asl, 48%); Miacatlán (810 m asl, 52%); Yautepec (1,120 m asl, 42%); Tlayacapan (1,320 m asl, 55%); and Tlanepantla (1,550 m asl, 21%; 1,800 m asl, 9%, and 2,300 m asl, 2%).
Fig. 2 in Occasional damages caused by Platystolus surcularius (Bolívar, 1877) (Orthoptera: Tettigoniidae: Bradyporinae) on pistachio and sunflower crops in Central Spain
Fig. 2.- Damage caused by Platystolus surcularius. a-c.- On Pistacia vera stems. d.- On a leaf of Helianthus annuus where a female specimen was resting on the underside.
Fig. 1 in Occasional damages caused by Platystolus surcularius (Bolívar, 1877) (Orthoptera: Tettigoniidae: Bradyporinae) on pistachio and sunflower crops in Central Spain
Fig. 1.- Some Platystolus surcularius adult specimens found on the crops. a.- Female on pistachio tree garden stake surrounded by bare soil. b.- Male on Pistacia vera leaf. c.- Female with part of the spermatophore remaining in their subgenital plate. d.- Female on Helianthus annuus leaf.
Fig. 1 in Acrotomopus atropunctellus (Coleoptera: Curculionidae) preference for large sugarcane shoots mitigates damage to sugarcane crop
Fig. 1. Mean numbers (± SE) of feeding punctures made by Acrotomopus atropunctellus on sugarcane shoots of different sizes. Different letters represent significant differences between means (P <0.05) (Fisher's LSD test).
Data from: Extrapolating potential crop damage by insect pests based on land use data: examining inter-regional generality in agricultural landscapes_210907
<p>DamagePrediction_data_2021_210907 Data from: Extrapolating potential crop damage by insect pests based on land use data: examining inter-regional generality in agricultural landscapes</p>
Dataset on crop damage caused by wild animals in protected areas
<p><span>This dataset provides detailed information on the stages of crop damage caused by wildlife around Mont Sangbé National Park in western Côte d'Ivoire. <span>Data were collected</span> from 120 households in three villages surrounding the park between February and April 2022. It includes the types of crops affected by wild herbivores, the species of herbivores responsible <span>for</span> damage, and <span>the</span> <span>stage of development</span> of the crops at the time of damage.</span></p>
Data for: Direct and indirect effects of food, fear and management on crop damage by ungulates
<p>Foraging on crops by wild ungulates may create human-wildlife conflicts through reducing crop production. Ungulates interact with and within complex socio-ecological systems, making the reduction of crop damage a challenging task. Aside from ungulate densities, crop damage is influenced by different drivers affecting ungulate foraging behavior: food availability and food quality in the landscape (i.e. the foodscape) as well as fear from hunting and scaring actions (i.e. the landscape of fear) may together affect the degree of damage via both direct and indirect effects. A better understanding of the individual effects of these potential drivers behind crop damage is needed, as is an appreciation of whether the effects are dependent on ungulate density. We investigated this by applying path analysis to test indirect and direct links between ungulate density, foodscape, landscape of fear and, human management goals on crop damage of oats and grass, respectively. Our results suggest that crop type is the major driver behind crop damage, with more damage to oats than to leys, implying that human decisions (i.e changing crop type) influence the level of crop damage. We found that management goals and actions influenced the foodscape and the landscape of fear, by affecting the amount of forage produced in the agricultural landscape and the amount of scaring actions. Additionally, we found that supplementary feeding influenced the local ungulate densities in the area. Our results highlight the importance of including human actions on multiple levels when assessing drivers behind damage by ungulates in managed landscapes. We suggest that more studies using path analysis on multiple scales are needed in order to tackle complex issues such as crop damage and other human-wildlife conflicts.</p>
Falcons reduce pre-harvest food safety risks and crop damage from wild birds
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Farmer survey wildlife value orientation & crop damage tolerance
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Data for: Direct and indirect effects of food, fear and management on crop damage by ungulates
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Data from: High effectiveness of tailored flower strips in reducing pests and crop plant damage
Providing key resources to animals may enhance both their biodiversity and the ecosystem services they provide. We examined the performance of annual flower strips targeted at the promotion of natural pest control in winter wheat. Flower strips were experimentally sown along 10 winter wheat fields across a gradient of landscape complexity (i.e. proportion non-crop area within 750 m around focal fields) and compared with 15 fields with wheat control strips. We found strong reductions in cereal leaf beetle (CLB) density (larvae: 40%; adults of the second generation: 53%) and plant damage caused by CLB (61%) in fields with flower strips compared with control fields. Natural enemies of CLB were strongly increased in flower strips and in part also in adjacent wheat fields. Flower strip effects on natural enemies, pests and crop damage were largely independent of landscape complexity (8–75% non-crop area). Our study demonstrates a high effectiveness of annual flower strips in promoting pest control, reducing CLB pest levels below the economic threshold. Hence, the studied flower strip offers a viable alternative to insecticides. This highlights the high potential of tailored agri-environment schemes to contribute to ecological intensification and may encourage more farmers to adopt such schemes.
FIGURES 6–12. Liothrips jatrophae. 6. Female fore tarsal tooth. 7. Head. 8. Pronotum. 9. Antenna. 10 in Replacement names for two homonyms of Liothrips brevitubus Karny: one from California, the other for a species damaging Jatropha crops in Mexico
FIGURES 6–12. Liothrips jatrophae. 6. Female fore tarsal tooth. 7. Head. 8. Pronotum. 9. Antenna. 10. Meso and metanota of micropterous female. 11. Meso and metanota, and pelta of macropterous female. 12. Tergites II–III of macropterous female.
FIGURES 1–5 in Replacement names for two homonyms of Liothrips brevitubus Karny: one from California, the other for a species damaging Jatropha crops in Mexico
FIGURES 1–5. Jatropha curcas damaged by Liothrips jatrophae. 1. Whole plant. 2. Terminal rosettes. 3. Distorted leaves. 4. Stunted plant apex. 5. Fruits.
Data from: High effectiveness of tailored flower strips in reducing pests and crop plant damage
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Data from: Is it worthwhile scaring geese to alleviate damage to crops? – an experimental study
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Data from: Relating national levels of crop damage to population size indices of large grazing birds: implications for management
1. Populations of large grazing birds have increased in Europe during at least five decades, raising conflicts between conservation and farming interests. Managing these conflicts requires knowledge about the currently unknown relationship between population sizes and crop damage levels. 2. We analyzed unique data on reported, inspected and compensated crop damage caused by geese, swans and cranes together with data from population surveys in Sweden to investigate how bird abundance related to damage levels at the national scale between 2000 and 2015. 3. Over the study period, the annual number of damage reports, yield loss and costs for compensation increased. These crop damage levels were positively related to national population indices of common crane, barnacle and greylag goose. The shape of these relationships varied between species and encompassed considerable uncertainty. However, on a year-to-year basis (detrended data) we found no evident association between damage levels and bird numbers. 4. Yield loss and compensation costs per reported damage did not increase with higher population indices of greylag goose, but they did so for barnacle goose. 5. Synthesis and applications: We present a novel study towards the understanding of the relationships between different crop damage level indicators (damage reports, yield loss and compensation costs) and population numbers of large grazing birds. We identified a positive relationship with high uncertainty for all cases. We also identified the need to 1) better synchronize the monitoring of damages and bird numbers in time and space and 2) further study the relationships between damage levels and bird numbers at smaller (local and regional) and larger (flyway) spatial scales to reduce the uncertainty of the relationship and to gain a more holistic understanding of the system.
Fig. 1 in Impacts of crop residue on damage by sugarcane pests during the tillering phase in Argentina
Fig. 1. Injury (proportion of damaged shoots) caused by Elasmopalpus lignosellus (a) and Pseudaletia unipuncta (b), for 2 harvest residue management schemes at 3 locations, 2011 to 2013.
Data from: Relating national levels of crop damage to population size indices of large grazing birds: implications for management
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Allen Brain Atlas
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International Brain Laboratory public data
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OpenNeuro
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