Temporally enhanced RSEI and nighttime lights reveal long-term ecological changes and effective protection in China’s inaugural national parks

• Improved RSEI enables more stable long-term ecological environment monitoring. • China parks’ ecology up after pilot, more areas reach medium–high levels. • Human activities, climate, and terrain shape park ecological health. • Positive RSEI-NTL correlation suggests possible sustainable development in parks. Protected areas are vital for preserving biodiversity and ensuring ecosystem services. Rational assessments of long-term change in ecological environment quality within these areas are crucial for informing effective conservation strategies and policy decisions. This study addresses the challenges of long-term ecological monitoring by improving the Remote Sensing Ecological Index (RSEI) to analyze spatiotemporal changes in ecological quality of China’s inaugural national parks (NPs) from 2000 to 2022. It also examines changes in human activities within and surrounding these parks using nighttime light (NTL) remote sensing data. We used Sen + MK trend analysis, climate factor removal analysis, and geographical detectors to explore the driving forces behind ecological environment quality changes and compare the effectiveness of ecological protection measures across different NPs. The results indicate that: 1) The temporally enhanced RSEI (tRSEI) effectively integrates the dynamic changes of multiple variables and offers better temporal comparability for long-term ecological monitoring; 2) From 2000 to 2022, the ecological environment quality within the inaugural NPs significantly improved, with more noticeable improvements observed following the implementation of pilot conservation programs; 3) The spatial variation in ecological quality within these NPs is driven by the interaction of multiple factors, including human activities, climate variability, and topographical conditions, with significant differences among the parks; 4) Although overall NTL intensity both inside and outside the NPs increased between 2000 and 2022, especially with accelerated growth in surrounding areas post-pilot program implementation, NTL levels within the parks remained relatively low. Interestingly, a significant positive correlation between tRSEI and NTL changes was observed in Giant Panda and Hainan Tropical Rainforest NPs, suggesting that the increase in NTL did not negatively impact the ecological environment within these protected areas. This study provides recommendations for ecological protection and management in different NPs, offering insights for the effective management of protected areas in China and globally.

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Publication Details

Journal
Ecological Indicators
Published
2024-12-11
DOI
https://doi.org/10.1016/j.ecolind.2024.112981
Citations
20
Primary Topic
Impact of Light on Environment and Health
Type
article
Field-Weighted Citation Impact
5.65

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article

Temporally enhanced RSEI and nighttime lights reveal long-term ecological changes and effective protection in China’s inaugural national parks

Weili Jiao, Guojin He, Chunhui Wen, Wei Jiang et al.
20 citations
Ecological Indicators
Impact of Light on Environment and Health
5.65
article

Temporally enhanced RSEI and nighttime lights reveal long-term ecological changes and effective protection in China’s inaugural national parks

Weili Jiao, Guojin He, Chunhui Wen, Wei Jiang, Tengfei Long
article en
20 citations

Abstract

• Improved RSEI enables more stable long-term ecological environment monitoring. • China parks’ ecology up after pilot, more areas reach medium–high levels. • Human activities, climate, and terrain shape park ecological health. • Positive RSEI-NTL correlation suggests possible sustainable development in parks. Protected areas are vital for preserving biodiversity and ensuring ecosystem services. Rational assessments of long-term change in ecological environment quality within these areas are crucial for informing effective conservation strategies and policy decisions. This study addresses the challenges of long-term ecological monitoring by improving the Remote Sensing Ecological Index (RSEI) to analyze spatiotemporal changes in ecological quality of China’s inaugural national parks (NPs) from 2000 to 2022. It also examines changes in human activities within and surrounding these parks using nighttime light (NTL) remote sensing data. We used Sen + MK trend analysis, climate factor removal analysis, and geographical detectors to explore the driving forces behind ecological environment quality changes and compare the effectiveness of ecological protection measures across different NPs. The results indicate that: 1) The temporally enhanced RSEI (tRSEI) effectively integrates the dynamic changes of multiple variables and offers better temporal comparability for long-term ecological monitoring; 2) From 2000 to 2022, the ecological environment quality within the inaugural NPs significantly improved, with more noticeable improvements observed following the implementation of pilot conservation programs; 3) The spatial variation in ecological quality within these NPs is driven by the interaction of multiple factors, including human activities, climate variability, and topographical conditions, with significant differences among the parks; 4) Although overall NTL intensity both inside and outside the NPs increased between 2000 and 2022, especially with accelerated growth in surrounding areas post-pilot program implementation, NTL levels within the parks remained relatively low. Interestingly, a significant positive correlation between tRSEI and NTL changes was observed in Giant Panda and Hainan Tropical Rainforest NPs, suggesting that the increase in NTL did not negatively impact the ecological environment within these protected areas. This study provides recommendations for ecological protection and management in different NPs, offering insights for the effective management of protected areas in China and globally.

Ecological IndicatorsVol. 170
China Institute of Water Resources and Hydropower Research (CN), Aerospace Information Research Institute (CN), University of Chinese Academy of Sciences (CN)
Ministry of Science and Technology of the People's Republic of China, National Key Research and Development Program of China
Life in Land
Openalex Percentile: Top 3%
Impact of Light on Environment and Health
5.65
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