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Reducing spatial resolution increased net primary productivity prediction of terrestrial ecosystems: A Random Forest approach

  • Published:2023-11 Issue: Volume:897 Page:165134
  • ISSN:0048-9697
  • Container-title:Science of The Total Environment
  • language:en
  • Short-container-title:Science of The Total Environment

Author:

Zhou Tao,Hou Yuting,Yang Zhihan,Laffitte Benjamin,Luo Ke,Luo Xinrui,Liao Dan,Tang Xiaolu

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference107 articles.

1. WoSIS: providing standardised soil profile data for the world;Batjes;Earth Syst. Sci. Data,2017

2. Random forests;Breiman;Machine Learn.,2001

3. Commentary: carbon metabolism of the terrestrial biosphere: a multitechnique approach for improved understanding;Canadell,2000

4. Resolution in species distribution models shapes spatial patterns of plant multifaceted diversity;Chauvier;Ecography,2022

5. Projecting the CO2 and climatic change effects on the net primary productivity of the urban ecosystems in Phoenix, AZ in the 21st century under multiple RCP (representative concentration pathway) scenarios;Chen;Sustainability.,2017
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