Impacts of Climate and Land-Use Change on Fraction Vegetation Coverage Based on PLUS-Dimidiate Pixel Model

Climate and land-use change are key factors of vegetation dynamics, and impacts arising from both of them need to be further studied. This study simulated the fraction of vegetation coverage in 2050 through coupling the Patch-Generating Land Use Simulation (PLUS) model and the Dimidiate Pixel model and explored the effects of climate and land-use change on fraction vegetation coverage in the Chengdu-Chongqing Economic Circle region. The findings indicated that: (1) fraction vegetation coverage was mainly restored over the 2000–2020 period, accounting for 59.38% of the investigation area. Under the SSP245 and SSP585 scenarios, fraction vegetation coverage increased by 40.57% and 46.38%, respectively. (2) under the SSP245 and SSP585 scenarios, the superposition effect of climate and land use change on fraction vegetation coverage significantly outweighed the compensation effect. Specifically, the superposition effect of climate and land use change on fraction vegetation cover accounted for 90.69% and 90.57% of the total area, respectively. Conversely, the compensation effect constituted a relatively minor proportion, representing 9.31% and 9.43% of the total area, respectively. (3) the positive superposition effect of climate changes and land use on fraction vegetation coverage was 35.47% and 40.90%, respectively, while the negative superposition effect was 55.22% and 49.67%, respectively. These findings aimed to offer guidance for the execution of vegetation restoration initiatives in the upstream region.

Authors

Institutions

Publication Details

Journal
Sustainability
Published
2024-11-28
DOI
https://doi.org/10.3390/su162310430
Citations
2
Primary Topic
Remote Sensing and Land Use
Type
article
Field-Weighted Citation Impact
0.75

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Impacts of Climate and Land-Use Change on Fraction Vegetation Coverage Based on PLUS-Dimidiate Pixel Model

Hong Shi, Q. Liu, Ji Yang, Ning Chris Chen et al.
2 citations
Sustainability
Remote Sensing and Land Use
0.75
article

Impacts of Climate and Land-Use Change on Fraction Vegetation Coverage Based on PLUS-Dimidiate Pixel Model

Hong Shi, Q. Liu, Ji Yang, Ning Chris Chen, Taohong Li
article en
2 citations

Abstract

Climate and land-use change are key factors of vegetation dynamics, and impacts arising from both of them need to be further studied. This study simulated the fraction of vegetation coverage in 2050 through coupling the Patch-Generating Land Use Simulation (PLUS) model and the Dimidiate Pixel model and explored the effects of climate and land-use change on fraction vegetation coverage in the Chengdu-Chongqing Economic Circle region. The findings indicated that: (1) fraction vegetation coverage was mainly restored over the 2000–2020 period, accounting for 59.38% of the investigation area. Under the SSP245 and SSP585 scenarios, fraction vegetation coverage increased by 40.57% and 46.38%, respectively. (2) under the SSP245 and SSP585 scenarios, the superposition effect of climate and land use change on fraction vegetation coverage significantly outweighed the compensation effect. Specifically, the superposition effect of climate and land use change on fraction vegetation cover accounted for 90.69% and 90.57% of the total area, respectively. Conversely, the compensation effect constituted a relatively minor proportion, representing 9.31% and 9.43% of the total area, respectively. (3) the positive superposition effect of climate changes and land use on fraction vegetation coverage was 35.47% and 40.90%, respectively, while the negative superposition effect was 55.22% and 49.67%, respectively. These findings aimed to offer guidance for the execution of vegetation restoration initiatives in the upstream region.

SustainabilityVol. 16(23)
University of Canterbury (NZ), Sichuan Agricultural University (CN), Southwest Minzu University (CN)
Southwest Minzu University, Fundamental Research Funds for the Central Universities
Climate action
Openalex Percentile: Top 29%
Remote Sensing and Land Use
0.75
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.