Detecting Vegetation Change in the Pearl River Delta Region Based on Time Series Segmentation and Residual Trend Analysis (TSS-RESTREND) and MODIS NDVI

Zhu, Rixiang; Kuang, Yaoqiu; He, Yeyu; Zhen, Wei; Ding, Songlin

doi:10.3390/rs12244049

Cited by 14 publications

(6 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Proper warming promoted the photosynthesis of vegetation, and increased ecosystem carbon sinks (Chen et al, 2019). The Pearl River basin is located in the subtropical region, with more precipitation (Ruan et al, 2020). Excessive precipitation could increase soil erosion (Huang et al, 2016).…”

Section: Driving Mechanisms Of Carbon Sinks Nep In the Four Ecologica...mentioning

confidence: 99%

Comparison of nonlinear trends and influencing factors of carbon sinks in four ecological restoration projects in China

Xu,

Liu,

Qiu

et al. 2024

Land Degrad Dev

View full text Add to dashboard Cite

China's ecological restoration projects aim to safeguard natural forests, improve the ecological environment, and achieve carbon neutrality. Previous studies at multiple scales have reported that the ecological projects contributed to enhancing carbon sinks. However, the effect of these projects on the carbon sinks has remained uncertain. Thus, we conducted a comparative analysis of nonlinear trends and influencing factors of carbon sink trends in the four ecological restoration project areas. Our findings suggested that the Pearl River shelterbelt program and middle reaches of the Yellow River shelterbelt program areas have experienced significant enhancements in ecosystem carbon sinks. The carbon sink exhibiting monotonically increasing trends and decreasing to increasing trends (positive shifts) accounted for 74.48% and 71.76% in these two shelterbelt program areas, respectively. However, less than half of the carbon sinks (41.38% and 31.80%, respectively) demonstrated monotonically increasing trends or positive shifts in the Yangtze River and Three North Shelterbelt program areas. The high background value of carbon sinks played a crucial role in the monotonically increasing trends of carbon sinks in the four ecological restoration projects. Additionally, in the Pearl River program areas, economic development and urban greening promoted the monotonically increasing trends of carbon sink. In the Yellow River program areas, CO2 fertilization, appropriate warming, and increased precipitation were helpful to promote the carbon sink with monotonically increasing trends. Moreover, the positive shifts of the carbon sinks were attributed to the implementation of these two ecological restoration projects. However, the low temperature and drought hindered the enhancement of carbon sinks in the Three North program areas, and extreme climate (flood and drought) hindered it in the Yangtze River program areas. These findings can provide a comprehensive evaluation of the effectiveness of ecological restoration projects on terrestrial ecosystems and offer practical guidelines to achieve carbon neutrality.

show abstract

Section: Driving Mechanisms Of Carbon Sinks Nep In the Four Ecologica...mentioning

confidence: 99%

Comparison of nonlinear trends and influencing factors of carbon sinks in four ecological restoration projects in China

Xu,

Liu,

Qiu

et al. 2024

Land Degrad Dev

View full text Add to dashboard Cite

show abstract

“…These findings indicate a substantial decline in simulation accuracy when employing the 500 m data product. Higher spatial resolution MODIS data products have lower error with ground truth observations, as well as higher accuracy in reflecting localized vegetation change [61,62], and are more conducive to matching with site-scale flux data. Consequently, the model achieved a relatively optimal simulation accuracy using 250 m resolution vegetation index data.…”

Section: Impact Of Different Spatial Resolution Data On the Modelmentioning

confidence: 99%

Integrating Meteorological and Remote Sensing Data to Simulate Cropland Nocturnal Evapotranspiration Using Machine Learning

Huang,

Zhang,

Zhang

et al. 2024

Sustainability

View full text Add to dashboard Cite

Evapotranspiration (ET) represents a significant component of the global water flux cycle, yet nocturnal evapotranspiration (ETn) is often neglected, leading to underestimation of global evapotranspiration. As for cropland, accurate modeling of ETn is essential for rational water management and is important for sustainable agriculture development. We used random forest (RF) to simulate ETn at 16 globally distributed cropland eddy covariance flux sites along with remote sensing and meteorological factors. The recursive feature elimination method was used to remove unimportant variables. We also simulated the ETn of C3 and C4 crops separately. The trained RF resulted in a determination coefficient (R2) (root mean square error (RMSE)) of 0.82 (7.30 W m−2) on the testing dataset. C3 and C4 crops on the testing dataset resulted in an R2 (RMSE) of 0.86 (5.59 W m−2) and 0.55 (4.86 W m−2) for the two types of crops. We also showed that net radiation is the dominant factor in regulating ETn, followed by 2 m horizontal wind speed and vapor pressure deficit (VPD), and these three meteorological factors showed a significant positive correlation with ETn. This research demonstrates that RF can simulate ETn from crops economically and accurately, providing a methodological basis for improving global ETn simulations.

show abstract

“…These policies, supported with substantial funding, have resulted in positive outcomes, including vegetation recovery, effective soil erosion control, and significant social and economic development [35][36][37]. However, there is an ongoing discussion among scholars regarding the extent to which human activities contribute to vegetation greening on the Loess Plateau [38][39][40]. Most research has focused on vegetation greenness at the regional [38,[41][42][43][44][45] or watershed scale [46][47][48][49][50], with limited studies conducted at the county scale.…”

Section: Introductionmentioning

confidence: 99%

Exploring the Driving Forces of Vegetation Greening on the Loess Plateau at the County Scale

Kong,

Huang,

et al. 2024

Forests

View full text Add to dashboard Cite

China has implemented several ecological projects in the Loess Plateau region to address severe land degradation and soil erosion. Accurately assessing ecological restoration and its driving factors remains challenging. Previous studies in this area concentrated on driving factors have mainly focused on natural factors at the regional or watershed scale, with limited consideration of socioeconomic factors at the county scale. In this study conducted in Huanglong County on the Loess Plateau, the focus was to fill the gaps in previous research and provide insights into the socioeconomic driving forces behind vegetation greening. Remote sensing image data (NDVI) from 1999 to 2019 were used to analyze vegetation greenness dynamics in the region. Five socioeconomic variables were considered, including afforestation intensity, deforestation intensity, agricultural intensity, village intensity, and road intensity layers, to characterize the impact of afforestation, agriculture, and urbanization policies. The RESTREND (residual trends) method was employed to assess the relative importance of climate and human activities on vegetation dynamics. This study found that temperature–NDVI relationships are more suitable for building RESTREND models than precipitation–NDVI relationships. Human activity was the main driver of vegetation dynamics, contributing 62% compared to 38% from climate change. Agricultural practices and afforestation were found to have a positive impact on ecological restoration, while deforestation and urbanization had no significant impact. These findings highlight a conceptual framework for understanding the intricate relationship between ecological restoration, climatic factors, and human activity on the Loess Plateau. This study suggests that significant progress has been made in ecological restoration through human efforts in combating land degradation. However, it emphasizes the need to strengthen natural conservation efforts and gradually transition toward restoration processes driven by natural forces for sustainable socioeconomic development. The methodology used in this study can be applied to explore the driving forces of ecological restoration in other regions facing human-driven land degradation.

show abstract

Detecting Vegetation Change in the Pearl River Delta Region Based on Time Series Segmentation and Residual Trend Analysis (TSS-RESTREND) and MODIS NDVI

Cited by 14 publications

References 38 publications

Comparison of nonlinear trends and influencing factors of carbon sinks in four ecological restoration projects in China

Comparison of nonlinear trends and influencing factors of carbon sinks in four ecological restoration projects in China

Integrating Meteorological and Remote Sensing Data to Simulate Cropland Nocturnal Evapotranspiration Using Machine Learning

Exploring the Driving Forces of Vegetation Greening on the Loess Plateau at the County Scale

Contact Info

Product

Resources

About