Unknown

Dataset Information

Characterizing ecosystem phenological diversity and its macroecology with snow cover phenology.


ABSTRACT: One critical challenge of exploring flora phenology is on characterizing ecosystem phenological diversity (EPD), and thus how EPD's performance is influenced by climate changes has also been an open macro-ecological question. To fill these two gaps, we proposed an innovative method for reflecting EPD, by taking the advantage of the often-classified inverse factor of spatial resolution discrepancy between the used remote sensing datasets of vegetation phenological dates (green-up and brown-up) and snow cover phenological dates (SPDs) (onset and end) around the Arctic, and further, we examined the cross response/feedbacks of the two kinds of EPDs to the two categories of SPDs. We found that the circumpolar green-up and brown-up EPDs both were shrinking, driven more by the delaying of the ons

SUBMITTER: Lin Y 

PROVIDER: S-EPMC6803678 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature