Attributing the impacts of ecological engineering and climate change on carbon uptake in Northeastern China
(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.
(Less)
- author
- Li, Huidong ; Gao, Wanjing ; Liu, Yage ; Yuan, Fenghui ; Wu, Minchao LU and Meng, Lin
- organization
- publishing date
- 2023
- 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}}, }