Usòrò:Temporal variations of forest resilience and its key drivers.webp

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English: "a, Spatial map of the temporal trend of TAC (δTAC). Positive δTAC values (for example, tropical forests) suggest a reduction in recovery rates and thus a decline in resilience, and vice versa for negative δTAC values (for example, boreal forests). The values are averaged over a 1° × 1° moving window for visual purposes. b, δTAC as in a binned as a function of climatological temperature and precipitation. The black dots indicate bins with average values that are statistically different from zero (two-sided Student’s t-test; P value ≤ 0.05). c, Frequency distribution of the differences in TAC computed for two independent temporal windows (2011–2020 minus 2000–2010) and shown separately for different climate regions. The numbers refer to the percentage of the observations lower and greater than zero; the asterisks indicate distributions with averages that are statistically different from zero (two-sided Student’s t-test; P value ≤ 0.05). The thin vertical line in each plot shows the distribution average. d, The cover fraction corresponding to each climate region and colour code reported in c and shown over the latitudinal gradient. e, The zonal average of the trend in TAC (δTAC) as determined by the three drivers (X) at 5° latitudinal resolution and the corresponding 95% confidence interval shown as a coloured line and shaded band, respectively. The colours reflect the three different driver categories: forest density, background climate and climate variability."
Ǹgụ́ụ̀bọ̀chị̀
Mkpọlọ́gwụ̀ https://www.nature.com/articles/s41586-022-04959-9
Odé ákwụ́kwọ́ Authors of the study: Giovanni Forzieri, Vasilis Dakos, Nate G. McDowell, Alkama Ramdane & Alessandro Cescatti

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This file is licensed under the Creative Commons Attribution 4.0 International license.
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Nkowapụta

Tinye nkọwa otu ahịrị ihe faịlụ a na-anochi anya ya.
From the study "Emerging signals of declining forest resilience under climate change"

Ihe ndị egosiri na faịlụ a

depicts Bekee

13 Julaị 2022

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Èhì/OgèMbọ-akaÓgólógó na asaáÒjìèmeNkwute
dị ùgbu â21:43, 27 Ọgọọst 2022NvóÁká màkà otù ȯ dị nà 21:43, 27 Ọgọọst 20222,116 × 1,648 (302 KB)PrototyperspectiveUploaded a work by Authors of the study: Giovanni Forzieri, Vasilis Dakos, Nate G. McDowell, Alkama Ramdane & Alessandro Cescatti from https://www.nature.com/articles/s41586-022-04959-9 with UploadWizard

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