Cited by How hydrothermal factors and CO2 concentration affect vegetation carbon sink over time and elevation gradient

Past and projected future patterns of fractional vegetation coverage in China DOI

Zijie Kong,

Hongbo Ling,

Mingjiang Deng

и другие.

The Science of The Total Environment, Год журнала: 2023, Номер 902, С. 166133 - 166133

Опубликована: Авг. 9, 2023

Язык: Английский

Процитировано

Natural Vegetation Succession Under Climate Change and the Combined Effects on Net Primary Productivity DOI

Sen Zhang, Xingming Hao,

Zhuoyi Zhao

и другие.

Earth s Future, Год журнала: 2023, Номер 11(11)

Опубликована: Ноя. 1, 2023

Abstract Climate change and the resulting natural vegetation succession can alter productivity. However, mechanisms underlying future productivity changes under two influences remain unclear. Here, we used comprehensive sequence classification system to simulate in global potential different climate scenarios (SSP1‐2.6, SSP2‐4.5, SSP3‐7.0, SSP5‐8.5), combined Carnegie–Ames–Stanford Approach model with random forest assess response of net primary (NPP) from 2020 2100. Except for SSP126, terrestrial NPP 2100 decreased by 0.86, 2.39, 2.54 Pg C·a −1 versus SSP5‐8.5, respectively. Forest was contributor changes. The total area projected increase all scenarios, SSP2‐4.5 showing largest (358.57 × 10 4 km 2 ). expanding regions exhibited a relatively low mean NPP, while stable demonstrated declining pattern. Consequently, increased SSP1‐2.6 but 4.03, 3.43, 0.82 In comparison, grassland desert exerted minor influence on changes, their only scenario. decreased, increased, whereas expanded, consistent both NPP. Our results analyzed effects distribution its which deepen our understanding relationship.

Язык: Английский

Процитировано

Atmospheric water demand dominates terrestrial ecosystem productivity in China DOI

You Tu,

Xiaofeng Wang, Jitao Zhou

и другие.

Agricultural and Forest Meteorology, Год журнала: 2024, Номер 355, С. 110151 - 110151

Опубликована: Июль 5, 2024

Язык: Английский

Процитировано

Analysis of vegetation dynamics from 2001 to 2020 in China's Ganzhou rare earth mining area using time series remote sensing and SHAP-enhanced machine learning DOI

Ming Lei, Yuandong Wang, Guangxu Liu

и другие.

Ecological Informatics, Год журнала: 2024, Номер 84, С. 102887 - 102887

Опубликована: Ноя. 9, 2024

Язык: Английский

Процитировано

How hydrothermal factors and CO2 concentration affect vegetation carbon sink over time and elevation gradient DOI

Peng Xue, Mingyang Zhang, Kelin Wang

и другие.

Journal of Cleaner Production, Год журнала: 2024, Номер 449, С. 141800 - 141800

Опубликована: Март 14, 2024

Язык: Английский

Процитировано