Find research datasets worth reusing

Supplementary material 4 from: Hong SC, Magarey RD, Borchert DM, Vargas RI, Souder SK (2015) Site-specific temporal and spatial validation of a generic plant pest forecast system with observations of Bactrocera dorsalis (oriental fruit fly). NeoBiota 27: 37-67. https://doi.org/10.3897/neobiota.27.5177

Figure S1: Explanation note: Fit of low temperature mortality function (line) to observations (diamonds).

Supplementary material 5 from: Hong SC, Magarey RD, Borchert DM, Vargas RI, Souder SK (2015) Site-specific temporal and spatial validation of a generic plant pest forecast system with observations of Bactrocera dorsalis (oriental fruit fly). NeoBiota 27: 37-67. https://doi.org/10.3897/neobiota.27.5177

Figure S2: Explanation note: Fit of high temperature mortality function (line) to observations (diamonds).

Supplementary material 1 from: Hong SC, Magarey RD, Borchert DM, Vargas RI, Souder SK (2015) Site-specific temporal and spatial validation of a generic plant pest forecast system with observations of Bactrocera dorsalis (oriental fruit fly). NeoBiota 27: 37-67. https://doi.org/10.3897/neobiota.27.5177

Table S1: Explanation note: List of references for oriental fruit fly (Bactrocera dorsalis) distribution.

Supplementary material 3 from: Hong SC, Magarey RD, Borchert DM, Vargas RI, Souder SK (2015) Site-specific temporal and spatial validation of a generic plant pest forecast system with observations of Bactrocera dorsalis (oriental fruit fly). NeoBiota 27: 37-67. https://doi.org/10.3897/neobiota.27.5177

Table S3: Explanation note: Summary statistics of low and high temperature mortality of Bactrocera dorsalis.

Supplementary material 2 from: Hong SC, Magarey RD, Borchert DM, Vargas RI, Souder SK (2015) Site-specific temporal and spatial validation of a generic plant pest forecast system with observations of Bactrocera dorsalis (oriental fruit fly). NeoBiota 27: 37-67. https://doi.org/10.3897/neobiota.27.5177

Table S2: Explanation note: List of references for Bactrocera invadens distribution (Courtesy to Marc De Meyer, Royal Museum for Central Africa, Tervuren, Belgium).

FIGURE 3 in Revalidation and redescription of Feltia deprivata (Walker) (= bilitura of authors) (Lepidoptera: Noctuidae), a pest species on South America

FIGURE 3. Pseudoleucania bilitura Holotype, male (Muséum National d'Histoire Naturelle, Paris, inventory number: MNHN EL n° 2016). Scale bars = 10 mm.

FIGURES 12–13 in Revalidation and redescription of Feltia deprivata (Walker) (= bilitura of authors) (Lepidoptera: Noctuidae), a pest species on South America

FIGURES 12–13. Distribution map of F. derivata. 12, distribution. 13, enlargement of squared area on 11. Black dots = data from material revised, red dots = data from bibliographical resources.

FIGURES 1–2 in Revalidation and redescription of Feltia deprivata (Walker) (= bilitura of authors) (Lepidoptera: Noctuidae), a pest species on South America

FIGURES 1–2. Feltia deprivata variation of color pattern in adults. 1, male. 2, female. Scale bars = 10 mm.

FIGURES 4–11 in Revalidation and redescription of Feltia deprivata (Walker) (= bilitura of authors) (Lepidoptera: Noctuidae), a pest species on South America

FIGURES 4–11. Genital morphology of F. deprivata. 4, male genitalia (ventral view, aedeagus omitted). 5, male genitalia (lateral view, aedeagus omitted). 6, median area of male genitalia (ventral view, vinculum and tegumen omitted), with detail on transtilla. 7, juxta (ventral view). 8, aedeagus (lateral view). 9, aedeagus (dorsal view). 10, female genitalia (lateral view). 11, female genitalia (dorsal view).

opencc-zeroJan 2018View details →

Supplementary material 2 from: Fiaboe K, Fernández-Triana J, Nyamu F, Agbodzavu K (2017) Cotesia icipe sp. n., a new Microgastrinae wasp (Hymenoptera, Braconidae) of importance in the biological control of Lepidopteran pests in Africa. Journal of Hymenoptera Research 61: 49-64. https://doi.org/10.3897/jhr.61.21015

Tree Result – Search: Sample IDs; Seq Length(500 bp); Include public records (170 records returned) (170 records selected) :

opennotspecifiedJan 2018View details →

In 2017, Plantix, a free smartphone app that helps identify plant damage, was introduced to the Indian state of Andhra Pradesh, with an extension partner. Plantix was created by Progressive Environmental and Agricultural Technologies (PEAT), a German startup. Two PEAT cofounders, Charlotte Schuman (second from the right) and Alex Kennepohl (center, with eyeglasses), confer about the smartphone app with students from Angrau University. Farmers and gardeners can transmit their plant images to Plantix, which uses deep learning and computer vision to help identify diseases and pests. The smartphone app offers symptom descriptions, treatment recommendations, and potential preventive actions. Photographs: Courtesy of PEAT GmbH. in Deep learning brings speed, accuracy to the life sciences.

In 2017, Plantix, a free smartphone app that helps identify plant damage, was introduced to the Indian state of Andhra Pradesh, with an extension partner. Plantix was created by Progressive Environmental and Agricultural Technologies (PEAT), a German startup. Two PEAT cofounders, Charlotte Schuman (second from the right) and Alex Kennepohl (center, with eyeglasses), confer about the smartphone app with students from Angrau University. Farmers and gardeners can transmit their plant images to Plantix, which uses deep learning and computer vision to help identify diseases and pests. The smartphone app offers symptom descriptions, treatment recommendations, and potential preventive actions. Photographs: Courtesy of PEAT GmbH.

opennotspecifiedApr 2022View details →

Fig. 2 in Tenuipalpus uvae (Acari: Tenuipalpidae) and Calophya spondiadis (Hemiptera: Psyllidae), pests of Spondias in Florida, USA

Fig. 2. Spondias psyllid, Calophya spondiadis, on Spondias purpurea: (a) adult on a leaf; (b) eggs on a leaf; (c) a nymph hatching from an egg; (d) a 2 d old nymph with waxy secretions; (e) older nymph on a flower petal; (f) flower with small fruitlet and spondias psyllid immatures feeding on the flower ovary as it becomes a fruit.

opennotspecifiedApr 2022View details →

Fig. 1 in Tenuipalpus uvae (Acari: Tenuipalpidae) and Calophya spondiadis (Hemiptera: Psyllidae), pests of Spondias in Florida, USA

Fig. 1. Tenuipalpus uvae on Spondias purpurea leaves: (a) adults, female (top) and male (bottom); (b) egg; (c) an egg, a translucent chorion, and the exuviae of a nymph that molted; (d) larva (3 d old) with the translucent egg chorions; (e) protonymph; and (f) deutonymph.

Scientific papers assessing the role of bats as suppressors of agricultural pests

This database is part of the supplementary material of the article entitled "Pest suppression by bats and management strategies to favour it: a global review", published in the journal Biological Reviews. It illustrates the articles assessing the role of bats in agriculture as suppressors of pests insects, located by the first literature search (LS1), and the main information extracted.   Methodology:  We conducted a first literature search (LS1) in ISI Web of Science of indexed articles and book chapters in English, using the following terms in the TOPIC field (searching both the title and the abstract): ‘agricultur*’, ‘pest’, ‘insect*’ and ‘bat*’ or ‘bats’. The search was performed by C. T.-C. in October 2022 obtaining 173 references, of which only 66 of were considered for the review after checking the whole text. We only included articles directly studying and assessing the effect of bats as pest controllers, either as direct predators of one or several pests (providing or not evidence of predation), evaluating their effect as top predators or quantifying economically their suppressive effect. We excluded any work that only mentioned the potential of bats as insect pest suppressors as an indirect topic of their research. For each of the included studies, we extracted information following a semi-structured questionnaire: (i) the year and country where the study was performed; (ii) the agroecosystem type studied; (iii) the insect pest species detected and the bat species on which the study was focused; (iv) whether predation of bats upon pest species was demonstrated; (v) whether the study demonstrated a top-down effect of bats on that agroecosystem; (vi) whether the benefits of bat ecosystem services were quantified economically, and what methods were used to estimate the economic value of bats as pest suppressors; and (vii) the conservation and management strategies proposed in the articles and their potential application.

Interactions between bat species and agricultural pests and disease vectors in northern Madagascar

List of agricultural pests and disease vectors detected in the diet of insectivorous bats in northern Madagascar

This table is part of the PhD thesis of Carme Tuneu-Corral, entitled 'Bats and rice: promoting Integrated Pest Management to enhance biodiversity conservation'. It is the Table A4.3 of the supplementary material of the Chapter 5 'Beyond borders: evaluating the role of protected areas in promoting bat-mediated pest suppression in rural areas of northern Madagascar', and shows the list of agricultural pests (known and potential) and disease vectors detected in the diet of insectivorous bats, BOLD ID percentage (similarity), and information on the type of crops attacked or disease transmitted by them in Madagascar and/or continental Africa. Methodology: To evaluate whether bats were consuming agricultural pests or disease vectors, we only considered prey identified to species level. Using published scientific literature, we classified each arthropod species in one of the following categories: ‘non-pest prey’, ‘known human-disease vector’ (species confirmed as human-disease vector in Madagascar), ‘known livestock-disease vector’ (species confirmed as livestock-disease vector in Madagascar), ‘potential human-disease vector’ (species not confirmed as human-disease vector in Madagascar, but considered as such in continental Africa), ‘potential livestock-disease vector’ (species not confirmed as livestock-disease vector in Madagascar, but considered as such in continental Africa), ‘known agricultural pest’ (species confirmed as agricultural pest in Madagascar), ‘potential agricultural pest’ (species not confirmed as agricultural pest in Madagascar, but considered as such in continental Africa).

Moving eDNA surveys into crop protection: a case study on the application of cowpea associated pests monitoring

Custom reference database of the study "Moving eDNA surveys into crop protection: a case study on the application of cowpea associated pests monitoring".

opennotspecifiedApr 2018View details →

FIGURE 18. Hyperlasion aliens Mohrig, 2004 in Black fungus gnats (Diptera: Sciaridae) found in association with cultivated plants and mushrooms in Australia, with notes on cosmopolitan pest species and biosecurity interceptions

FIGURE 18. Hyperlasion aliens Mohrig, 2004 (specimen from Papua New Guinea). A. Hypopygium. B. Flagellomere 3–5. C. Male.

opennotspecifiedApr 2018View details →

FIGURE 17 in Black fungus gnats (Diptera: Sciaridae) found in association with cultivated plants and mushrooms in Australia, with notes on cosmopolitan pest species and biosecurity interceptions

FIGURE 17. Scatopsciara atomaria (Zetterstedt, 1851). A. Hypopygium. B. Flagellomeres 4–6. C. Palpus. D. Fore tibia.