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Attributing the impacts of ecological engineering and climate change on carbon uptake in Northeastern China

Li, Huidong ; Gao, Wanjing ; Liu, Yage ; Yuan, Fenghui ; Wu, Minchao LU orcid and Meng, Lin (2023) In Landscape Ecology 38(12). p.3945-3960
Abstract

Context: In the past decades, several ecological engineering (eco-engineering) programs have been conducted in China, leading to a significant increase in regional carbon sink. However, the contribution of different eco-engineering programs to carbon uptake is still not clear, as the location of different programs is difficult to identify, and their impacts are concurrent with climate change. Objectives: We aim to detect the location of eco-engineering programs and attribute the impacts of eco-engineering and climate change on vegetation dynamics and carbon uptake in Northeastern China during 2000–2020. Methods: We developed a new framework to detect the location of eco-engineering programs by combining a temporal pattern analysis... (More)

Context: In the past decades, several ecological engineering (eco-engineering) programs have been conducted in China, leading to a significant increase in regional carbon sink. However, the contribution of different eco-engineering programs to carbon uptake is still not clear, as the location of different programs is difficult to identify, and their impacts are concurrent with climate change. Objectives: We aim to detect the location of eco-engineering programs and attribute the impacts of eco-engineering and climate change on vegetation dynamics and carbon uptake in Northeastern China during 2000–2020. Methods: We developed a new framework to detect the location of eco-engineering programs by combining a temporal pattern analysis method and Markov model, and to attribute the impacts of eco-engineering and climate change on vegetation greenness and carbon uptake by combining a neighbor contrast method within a sliding window and trend analysis on the normalized difference vegetation index (NDVI) and gross primary production (GPP). Results: We identified four main forestry eco-engineering programs: croplands to forest (CtoF), grasslands to forest (GtoF), savannas to forest (StoF), and natural forest conservation (NFC) programs, whose areas accounted for 2.11%, 1.89%, 3.41%, and 1.72% of the total study area, respectively. Both eco-engineering and climate change contributed to the increase in greenness and carbon uptake. Compared to climate change effect, eco-engineering increased NDVI and GPP by 121% and 21.43% on average, respectively. Specifically, the eco-engineering-induced increases in GPP were 54.1%, 9.46%, 8.13%, and 24.20% for CtoF, GtoF, StoF, and NFC, respectively. Conclusions: These findings highlight the important and direct contribution of eco-engineering on vegetation greening with positive effects on carbon sequestration at a fine scale, providing an important implication for eco-engineering planning and management towards a carbon-neutral future.

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author
; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Attribution, Carbon uptake, Climate change, Ecological engineering, Northeastern China
in
Landscape Ecology
volume
38
issue
12
pages
3945 - 3960
publisher
Springer
external identifiers
  • scopus:85160231841
ISSN
0921-2973
DOI
10.1007/s10980-023-01679-x
language
English
LU publication?
yes
id
47f96eb5-9bdd-433d-a184-dc9ade2c9c3c
date added to LUP
2023-09-25 11:20:56
date last changed
2024-01-09 15:46:12
@article{47f96eb5-9bdd-433d-a184-dc9ade2c9c3c,
  abstract     = {{<p>Context: In the past decades, several ecological engineering (eco-engineering) programs have been conducted in China, leading to a significant increase in regional carbon sink. However, the contribution of different eco-engineering programs to carbon uptake is still not clear, as the location of different programs is difficult to identify, and their impacts are concurrent with climate change. Objectives: We aim to detect the location of eco-engineering programs and attribute the impacts of eco-engineering and climate change on vegetation dynamics and carbon uptake in Northeastern China during 2000–2020. Methods: We developed a new framework to detect the location of eco-engineering programs by combining a temporal pattern analysis method and Markov model, and to attribute the impacts of eco-engineering and climate change on vegetation greenness and carbon uptake by combining a neighbor contrast method within a sliding window and trend analysis on the normalized difference vegetation index (NDVI) and gross primary production (GPP). Results: We identified four main forestry eco-engineering programs: croplands to forest (CtoF), grasslands to forest (GtoF), savannas to forest (StoF), and natural forest conservation (NFC) programs, whose areas accounted for 2.11%, 1.89%, 3.41%, and 1.72% of the total study area, respectively. Both eco-engineering and climate change contributed to the increase in greenness and carbon uptake. Compared to climate change effect, eco-engineering increased NDVI and GPP by 121% and 21.43% on average, respectively. Specifically, the eco-engineering-induced increases in GPP were 54.1%, 9.46%, 8.13%, and 24.20% for CtoF, GtoF, StoF, and NFC, respectively. Conclusions: These findings highlight the important and direct contribution of eco-engineering on vegetation greening with positive effects on carbon sequestration at a fine scale, providing an important implication for eco-engineering planning and management towards a carbon-neutral future.</p>}},
  author       = {{Li, Huidong and Gao, Wanjing and Liu, Yage and Yuan, Fenghui and Wu, Minchao and Meng, Lin}},
  issn         = {{0921-2973}},
  keywords     = {{Attribution; Carbon uptake; Climate change; Ecological engineering; Northeastern China}},
  language     = {{eng}},
  number       = {{12}},
  pages        = {{3945--3960}},
  publisher    = {{Springer}},
  series       = {{Landscape Ecology}},
  title        = {{Attributing the impacts of ecological engineering and climate change on carbon uptake in Northeastern China}},
  url          = {{http://dx.doi.org/10.1007/s10980-023-01679-x}},
  doi          = {{10.1007/s10980-023-01679-x}},
  volume       = {{38}},
  year         = {{2023}},
}