SNUEI

A unifying principle for global greenness patterns and trends

2025 · Communications Earth & Environment

저자

Wenjia Cai, Ziqi Zhu, Sandy P. Harrison, 류영렬 (Youngryel Ryu), Han Wang, Boya Zhou, Iain Colin Prentice

연구주제

Remote Sensing in Agriculture · Plant Water Relations and Carbon Dynamics

NTIS 과학기술표준분류

에너지/자원만에너지·환경·원자력 확장

지원 과제·AI 키워드로 잡을 근거가 없어 분류하지 않았다.

AI 연구 키워드·방법

흡수 광합성유효복사(APAR) carbon dioxide fertilization 식생 녹화(그리닝) water limited vegetation

과정 기반 모델링 위성 원격탐사

키워드 (OpenAlex)

vegetation greenness vegetation browning CO2 fertilization light use efficiency water use efficiency land surface model vegetation-climate interactions

초록

Abstract Vegetation cover regulates the exchanges of energy, water and carbon between land and atmosphere. Remotely-sensed fractional absorbed photosynthetically active radiation (fAPAR), a land-surface greenness measure, depends on carbon allocation to foliage while also controlling photon flux for photosynthesis. Here we use an equation with just two globally fitted parameters to describe annual maximum fAPAR as the smaller of a water-limited value transpiring a constant fraction of annual precipitation, and an energy-limited value maximizing annual plant growth. This minimalist description reproduces global greenness patterns and temporal trends in remote-sensing data, comparable to the best-performing dynamic global vegetation models. Widely observed greening is attributed principally to the influence of rising carbon dioxide on the light- and water-use efficiencies of photosynthesis…

이 논문을 지원한 국가R&D 과제 (NTIS 성과)

NTIS 성과DB(2020–24)에서 DOI 매칭 없음

인접 그래프

노드 hover = 이웃 강조 · 1회 클릭 = 고정 · 고정된 노드 다시 클릭 = 페이지 이동

이 문서와 연결된 페이지

교수 1

류영렬

연구주제 1

Remote Sensing in Agriculture

키워드 2

식생 녹화(그리닝) · 흡수 광합성유효복사(APAR)

방법 2

위성 원격탐사 · 과정 기반 모델링