Big data analytics, a transformative approach to long‐term restoration research for meeting global targets-Reference-Cited by-同舟云学术

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Big data analytics, a transformative approach to long‐term restoration research for meeting global targets

Published:2022-11-04 Issue:4 Volume:31 Page:
ISSN:1061-2971
Container-title:Restoration Ecology
language:en
Short-container-title:Restoration Ecology

Author:

Shukla Jayshree¹,Dhyani Shalini¹²^ORCID,Pujari Paras¹

Affiliation:

1. CSIR‐National Environmental Engineering Research Institute (NEERI) Nagpur 440020 Maharashtra India

2. International Union for the Conservation of Nature (IUCN) Commission on Ecosystem Management (CEM) Geneva Switzerland

Publisher

Wiley

Subject

Nature and Landscape Conservation,Ecology,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/rec.13814

Reference19 articles.

1. Harnessing artificial intelligence and big data for SDGs and prosperous urban future in South Asia

2. Biomass production efficiency controlled by management in temperate and boreal ecosystems

3. Briefing: The 2021 Glasgow Climate Pact: steps on the transition pathway towards a low carbon world

4. Integrated climate sensitive restoration framework for transformative changes to sustainable land restoration

5. Economic and Social Council(2020)https://wwwunorg/ecosoc/en/home(accessed 31 May 2022)

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. We asked and #GenerationRestoration delivered: the Joint Special Feature between the British Ecological Society and the Society for Ecological Restoration;Restoration Ecology;2023-11

2. We asked and #GenerationRestoration delivered: The joint special feature between the British Ecological Society and the Society for Ecological Restoration;Ecological Solutions and Evidence;2023-10

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