International Journal of Biometeorology, Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 17, 2024
Language: Английский
International Journal of Biometeorology, Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 17, 2024
Language: Английский
Ecological Indicators, Journal Year: 2024, Volume and Issue: 166, P. 112343 - 112343
Published: July 7, 2024
Language: Английский
Citations
0Biosystems Diversity, Journal Year: 2024, Volume and Issue: 32(2), P. 183 - 192
Published: April 17, 2024
The article reveals which ecological groups of birds in Zhytomyr region are most vulnerable to global climate change and will benefit from warming the next 70 years. following data networks were used as predictors bird niche: climatic biogeographic variables, soil properties indicators landscape cover types. results ENFA analysis derive niche margins for species, subjected three principal component analyses estimate marginality along bioclimatic, edaphic, variables. species habitat preference index was estimated using Maxent procedure. assessment made on basis both current projected It found that conditions close European average. average annual temperature is 2.1 °C higher than Furthermore, value monthly ranges, isothermality, range seasonality do not differ significantly maximum warmest month 1.4 average, while minimum coldest 1.7 higher. wettest quarter 4.6 above driest 2.3 below. temperatures quarters slightly (1.8 1.6 °C, respectively). precipitation exceeds norm by 20 mm. exhibits a distinctive pattern precipitation, with amount forecast years indicates Europe can be expected increase 4.1°C. For region, likely 4.4 °C. other also increase. contrast thermal throughout year decrease future. Precipitation 60.3 mm per In 87.2 compared state. Based estimates birds' niche, climatic, edaphic projections conducted. projection identified components eigenvalues exceeding one. Principal 1 characterised high correlation bioclimatic allowed us interpret this position optimum gradient. 2 exhibited variables indicative thereby enabling meaningfully interpreted 3 coefficients rainfall variability, variability variation parameters niches onto matrix diversity types extract greater gradient open spaces (grassland, sparse shrubs, cropland, bare) forest. This denoted ratio campophilic/dendrophilic species. denotes space (water, wetland) prefer built, cropland trees. allows wetland (moisture-loving campophilic)/rural positively correlated trend built water (urbanised areas usually associated bodies) negatively trees, bare wetland. urban/rural anticipated an campophilic dendrophilic predominant response change. Moisture-loving outcompeted rurally-dependent urban
Language: Английский
Citations
0International Journal of Biometeorology, Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 17, 2024
Language: Английский
Citations
0