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Fig. 1 in The ectoparasitoid Scleroderma guani (Hymenoptera: Bethylidae) uses innate and learned chemical cues to locate its host, larvae of the pine sawyer Monochamus alternatus (Coleoptera: Cerambycidae)

Fig. 1. Numbers of naïve Scleroderma guani females responding to various odor sources presented in pairs in a Y-tube olfactometer. W = wood diet, WF = mixture of wood diet and Monochamus alternatus frass, S = sawdust from M. alternatus galleries, L = 10 M. alternatus 3rd instars, and A = clean air. *: P ≤ 0.05, **: P ≤ 0.01. Numbers indicate numbers of wasps responding.

Fig. 4 in The ectoparasitoid Scleroderma guani (Hymenoptera: Bethylidae) uses innate and learned chemical cues to locate its host, larvae of the pine sawyer Monochamus alternatus (Coleoptera: Cerambycidae)

Fig. 4. Numbers of Scleroderma guani females responding to the odor of Monochamus alternatus 3rd instars (L) versus clean air (A) in a Y-tube olfactometer. Females were either naïve (N), previously exposed to gallery sawdust (S), or with previous exposure to the odor of M. alternatus larvae (L). *: P ≤ 0.05, **: P ≤ 0.01.

Fig. 3 in The ectoparasitoid Scleroderma guani (Hymenoptera: Bethylidae) uses innate and learned chemical cues to locate its host, larvae of the pine sawyer Monochamus alternatus (Coleoptera: Cerambycidae)

Fig. 3. Numbers of naïve Scleroderma guani females responding to the odor of 10 Monochamus alternatus 1st, 3rd, or 5th instars (L) versus clean air (A) in a Y-tube olfactometer. *: P ≤ 0.05, **: P ≤ 0.01.

Fig. 2 in The ectoparasitoid Scleroderma guani (Hymenoptera: Bethylidae) uses innate and learned chemical cues to locate its host, larvae of the pine sawyer Monochamus alternatus (Coleoptera: Cerambycidae)

Fig. 2. Relative proportions of organic compounds identified in headspace volatiles from Monochamus alternatus larvae and a mixture of wood diet, sawdust, and frass.

opencc-by-4.0Apr 2023View details →

Map 1 in The pine cone bug, Gastrodes grossipes grossipes (De Geer, 1773) (Hemiptera: Rhyparochromidae), in Portugal

Map 1.- Iberian distribution of Gastrodes grossipes grossipes (De Geer, 1773), with Andorra and the previously known Portuguese districts and Spanish provinces in grey, the new Portuguese district in green, the previously known Portuguese MGRS 100 km2 squares in blue and the new Portuguese MGRS 100 km2 square in orange.

opencc-by-4.0Apr 2023View details →

Fig. 1 in The pine cone bug, Gastrodes grossipes grossipes (De Geer, 1773) (Hemiptera: Rhyparochromidae), in Portugal

Fig. 1.- Female specimen of Gastrodes grossipes grossipes (De Geer, 1773) collected in Parque de Avioso - S. Pedro (Maia, Portugal) on 24/12/2022 (MHNCUP/ART/41079)

opencc-by-4.0Dec 2022View details →

Рис. 1. Δинамика чисΛенности меΛких мΛекопитающих в Цасучейском бору: 1 — суммарная чисΛенность (особей / 100 циΛинΑро-суток); Αоминирующие виΑы: 2 — забайкаΛьский хомячок, 3 — бурозубка тунΑряная, 4 — бурозубка крошечная, 5 — поΛёвка монгоΛьская, 6 — поΛёвка РаΑΑе, 7 — красная поΛёвка; A — остепнённый сосняк, B — первичная гарь, С — старая гарь, D — повторная гарь; стреΛка указывает время прохожΑения пожара. Ось X — гг., ось Y — чисΛенность Fig. 1. Population dynamics of small mammals in the Tsasucheysky Pine Forest: 1 — total abundance (individuals / 100 cylinder-days); dominant species: 2 — Cricetulus pseudogriseus, 3 — Sorex tundrensis, 4 — S. minutissimus, 5 — Alexandromys mongolicus, 6 — Lasiopodomys raddei, 7 — Myodes rutilus; A — steppe pine forest, B — primary burns site, С — old burns site; D — repeated burns site; the arrow indicates the time of the fire. The X-axis shows years; the Y-axis shows population density in Population dynamics of small mammals after spring fires in steppe pine forest

Рис. 1. Δинамика чисΛенности меΛких мΛекопитающих в Цасучейском бору: 1 — суммарная чисΛенность (особей / 100 циΛинΑро-суток); Αоминирующие виΑы: 2 — забайкаΛьский хомячок, 3 — бурозубка тунΑряная, 4 — бурозубка крошечная, 5 — поΛёвка монгоΛьская, 6 — поΛёвка РаΑΑе, 7 — красная поΛёвка; A — остепнённый сосняк, B — первичная гарь, С — старая гарь, D — повторная гарь; стреΛка указывает время прохожΑения пожара. Ось X — гг., ось Y — чисΛенность Fig. 1. Population dynamics of small mammals in the Tsasucheysky Pine Forest: 1 — total abundance (individuals / 100 cylinder-days); dominant species: 2 — Cricetulus pseudogriseus, 3 — Sorex tundrensis, 4 — S. minutissimus, 5 — Alexandromys mongolicus, 6 — Lasiopodomys raddei, 7 — Myodes rutilus; A — steppe pine forest, B — primary burns site, С — old burns site; D — repeated burns site; the arrow indicates the time of the fire. The X-axis shows years; the Y-axis shows population density

opencc-by-4.0Jan 2018View details →

Database of Pines from the Forests paper: "Intraspecific Variation in Pines from the Trans-Mexican Volcanic Belt Grown Under Two Watering Regimes: Implications for Management of Genetic Resources"

Raw data from the Forests paper: "Intraspecific Variation in Pines from the Trans-Mexican Volcanic Belt Grown under Two Watering Regimes: Implications for Management of Genetic Resources" Forests 2018 9(2), 71. doi:<a href="http://dx.doi.org/10.3390/f9020071">10.3390/f9020071. </a> The database correspond to seedlings of four Mexican pines: P. oocarpa, P. patula and P. pseudostrobus, that were submitted to two watering treatments: Field Capacity (FC) and Drought-Stress (DS), during 90 days. Growth and biomass, survival and ontogenetic score were measured.

opencc-by-4.0Aug 2015View details →

Figure 5.(a)Linear (y=0.45x + 57.74) dose-response relationship between plasma propranolol to % β- adrenergeric blockade derived from healthy study participants and translate into patients with angina pectoris. This image has been adapted from(Pine et al., 1975).-The Brain and Propranolol Pharmacokinetics in the Elderly

Apharmacodynamic model,with parameters in the table below, may be used to visualize the propranolol concentration-effect (β-blockade) relationship in patients suffering from angina pectoris. These results have been adapted from the Pine et al article published in Circulation in 1975 which identified a linear relationship plasma Propranolol (ng/mL) to an effect of % β-Adrenergic Blockade in a single-oral dose of 40mg Propranolol in exercising individuals (Pine et al., 1975).

Fig. 5 in Abundance and composition of Geotrupidae (Coleoptera: Scarabaeoidea) in the developmental cycle of pine stands in Człuchów Forest (NW Poland)

Fig. 5. Average annual abundance of A. stercorosus in pine stands in Człuchów Forest, 1998-1999 (explanations as in Fig. 2)

Fig. 10. A in Abundance and composition of Geotrupidae (Coleoptera: Scarabaeoidea) in the developmental cycle of pine stands in Człuchów Forest (NW Poland)

Fig. 10. A diagram of PCA analysis illustrating the dominance structure in Geotrupidae communities inhabiting various phases of the developmental cycle of pine stands in Człuchów Forest, 1998-1999 (explanations as in Fig. 9)

Fig. 2. A in Abundance and composition of Geotrupidae (Coleoptera: Scarabaeoidea) in the developmental cycle of pine stands in Człuchów Forest (NW Poland)

Fig. 2. A baited ground trap for collecting Geotrupidae in pine stands in Człuchów Forest, 1998-1999 (drawing by J. Piętka)

Fig. 6 in Abundance and composition of Geotrupidae (Coleoptera: Scarabaeoidea) in the developmental cycle of pine stands in Człuchów Forest (NW Poland)

Fig. 6. Average annual abundance of T. vernalis in pine stands in Człuchów Forest, 1998-1999 (explanations as in Fig. 2)

Fig. 7 in Ground beetle assemblages (Coleoptera, Carabidae) in the third year of regeneration after a hurricane in the Puszcza Piska pine forests

Fig. 7. CCA ordination of carabid beetle assemblages inhabiting stands affected by the hurricane (P) and control stands (M) in age classes I-V. Abbreviations of the environmental variables: N – nitrogen content of soil, C – carbon content of soil, C.N – C/N ratio of soil, Dyf – soil CO 2 efflux rate. (For full names of species, see Table 1).

Fig. 4 in Ground beetle assemblages (Coleoptera, Carabidae) in the third year of regeneration after a hurricane in the Puszcza Piska pine forests

Fig. 4. Proportion of hygrophilous species individuals in carabid beetle assemblages inhabiting stands affected by the hurricane (P) and control stands (M) in age classes I-V.

Fig. 3 in Ground beetle assemblages (Coleoptera, Carabidae) in the third year of regeneration after a hurricane in the Puszcza Piska pine forests

Fig. 3. Proportion of forest species individuals in carabid beetle assemblages inhabiting stands affected by the hurricane (P) and control stands (M) in age classes I-V.

Fig. 1 in Successional patterns of carabid fauna (Coleoptera: Carabidae) in planted and natural regenerated pine forests growing on old arable land

Fig. 1: Principal components analysis (PCA) carried out with the dataset. Years of study are given in brackets behind the study areas/sites.

Fig. 5 in Ground beetle assemblages (Coleoptera, Carabidae) in the third year of regeneration after a hurricane in the Puszcza Piska pine forests

Fig. 5. Proportion of xerophilous species individuals in carabid beetle assemblages inhabiting stands affected by the hurricane (P) and control stands (M) in age classes I-V.

Fig. 1 in Ground beetle assemblages (Coleoptera, Carabidae) in the third year of regeneration after a hurricane in the Puszcza Piska pine forests

Fig. 1. Cluster analysis for the carabid beetle assemblages inhabiting stands affected by the hurricane (P) and control stands (M) in age classes I-V. Ward˙s method, Euclidean distance.

Fig. 6 in Ground beetle assemblages (Coleoptera, Carabidae) in the third year of regeneration after a hurricane in the Puszcza Piska pine forests

Fig. 6. The SPC/MIB (SCP/SBO) model of carabid beetle assemblages inhabiting stands affected by the hurricane (P) and control stands (M) in age classes I-V.