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Wyświetlanie 1-3 z 3
Tytuł:
Simulation of Favorable Habitats for Non-Gregarious Locust Pests in North Kazakhstan Based on Satellite Data for Preventive Measures
Autorzy:
Baibussenov, Kurmet
Bekbayeva, Aigul
Azhbenov, Valery
Powiązania:
https://bibliotekanauki.pl/articles/2173224.pdf
Data publikacji:
2022
Wydawca:
Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:
non-gregarious locust
distribution
phytosanitary forecasting
ecological niche
North Kazakhstan
Opis:
The paper considers the approaches and possibilities of using two types of simulation: the species distribution model and the ecological niche model. The study aimed to simulate favorable habitats and the potential spread of non-gregarious locust pests in North Kazakhstan based on satellite and ground data for preventive measures. The MaxEnt software was used to conduct the simulation. According to the species distribution model, high indicators of the habitat are predicted in the Pavlodar and Kostanay regions, on 69.9–100% of the studied territory. With the simulation of ecological niches for non-gregarious locust pests, the following class boundaries were determined for the transition from quantitative to qualitative indicators from I (85–100%) to IV (0–50%), which indicates the zones of the probability of pest attack from a higher indicator to a lower one. According to the fundamental model, high indicators of the area of pest occurrence, that is, zones I and II, are located in the central and northern parts of the Pavlodar region. Here, the probability of non-gregarious locust occurrence of zone I and II with a ratio of 1:1 is observed in a slightly arid, moderately warm agro-climatic zone. In the southern part of the Kostanay region, the simulation predicts the probability of occurrence on zones I and II with a ratio of 1:2 in the moderately arid warm agro-climatic zone of this region. In the southern and southeastern parts of the Akmola region, the model predicts the probability of occurrence in zones I and II with a ratio of 1:3 in a slightly humid, moderately warm agro-climatic zone of the region. The considered species distribution model can be used as a modern tool for long-term forecasting of the spread of non-gregarious locust pests since it takes into account the peculiarities of the agricultural landscape. The fundamental niche model can be used in a long-term population forecast since it focuses more on the theoretical conditions of pest habitats.
Źródło:
Journal of Ecological Engineering; 2022, 23, 7; 299--311
2299-8993
Pojawia się w:
Journal of Ecological Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Microhabitat distribution and coexistence of monogeneans parasitic fishes - a review
Autorzy:
Simkova, A.
Gelnar, M.
Powiązania:
https://bibliotekanauki.pl/articles/837494.pdf
Data publikacji:
1998
Wydawca:
Polskie Towarzystwo Parazytologiczne
Tematy:
parasite
Oligonchoinea
microecology
fish
Polyonchoinea
microhabitat
parasitic fish
host fish
niche
helminth
coexistence
distribution
Źródło:
Annals of Parasitology; 1998, 44, 3
0043-5163
Pojawia się w:
Annals of Parasitology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Modeling the potential distribution of three lichens of the Xanthoparmelia pulla group (Parmeliaceae, Ascomycota) in Central Europe
Autorzy:
Szczepanska, K.
Pruchniewicz, D
Kossowska, M.
Powiązania:
https://bibliotekanauki.pl/articles/56521.pdf
Data publikacji:
2015
Wydawca:
Polskie Towarzystwo Botaniczne
Tematy:
niche modelling
biogeography
distribution
lichen
Xanthoparmelia pulla
Xanthoparmelia delisei
Xanthoparmelia loxodes
Xanthoparmelia verruculifera
Parmeliaceae
Ascomycota
Central Europe
Europe
Opis:
The paper presents models of potential geographical distribution of Xanthoparmelia delisei, X. loxodes, and X. verrucu-lifera in Central Europe. The models were developed with MaxEnt (maximum entropy algorithm) based on 224 collection localities and bioclimatic variables. The applied method enabled to identify the areas where climatic conditions are the most suitable for modeled species outside their known localities. According to obtained model, high potential distribution of the X. delisei and X. loxodes was found in the northern and northeastern Poland, when areas most suitable for X. verruculifera were placed in the south, especially in the Carpathians. Model also suggests that potential distribution of X. delisei could be wider than known data on its occurrence and extend to Lithuania, Belarus and the Czech Republic. MaxEnt modeling of X. loxodes showed the widest potential distribution for this species in Central Europe with the best regions in Lithuania. Potential distribution in all models was strongly influenced by precipitation-related variables. All the modelled species prefer areas where precipitation in the coldest quarter is very low.
Źródło:
Acta Societatis Botanicorum Poloniae; 2015, 84, 4
0001-6977
2083-9480
Pojawia się w:
Acta Societatis Botanicorum Poloniae
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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