Assessing Spatiotemporal Dynamics of Net Primary Productivity in Shandong Province, China (2001–2020) Using the CASA Model and Google Earth Engine: Trends, Patterns, and Driving Factors

Remote Sensing, Год журнала: 2025, Номер 17(3), С. 488 - 488

Опубликована: Янв. 30, 2025

Net primary productivity (NPP) is a core ecological indicator within terrestrial ecosystems, representing the potential of vegetation growth to offset anthropogenic carbon emissions. Thus, assessing NPP in given region crucial for promoting regional restoration and sustainable development. This study utilized CASA model GEE calculate annual average Shandong Province (2001–2020). Through trend analysis, Moran’s Index, PLS−SEM, spatiotemporal evolution driving factors were explored. The results show that: (1) From 2001 2020, showed an overall increasing trend, rising from 254.96 322.49 g C·m⁻2/year. shift was accompanied by gradual eastward movement centroid, indicating significant spatial changes productivity. (2) Regionally, 47.9% experienced improvement, 27.6% saw slight 20.1% exhibited degradation, highlighting notable heterogeneity. (3) Driver analysis that climatic positively influenced across all four periods (2005, 2010, 2015, 2020), with strongest impact 2015 (coefficient = 0.643). Topographic such as elevation slope also had positive effects, peaking at 0.304 2015. In contrast, human activities, especially GDP nighttime light intensity, negatively impacted NPP, negative effect 2010 −0.567). These findings provide valuable scientific evidence ecosystem management offer key insights development strategies national level.

Язык: Английский

Revolutionizing ecological security pattern with multi-source data and deep learning: An adaptive generation approach

Ecological Indicators, Год журнала: 2025, Номер 173, С. 113315 - 113315

Опубликована: Март 22, 2025

Язык: Английский