Scholarlink

<p>Accurate assessment of agricultural net primary productivity (NPP) is critical for carbon–neutral policies, yet the spatial heterogeneity and long-term dynamics of NPP across diverse ecosystems remain poorly quantified. This study evaluates the spatiotemporal inequality and future trajectories of cropland, forest, grassland, and water-body NPP in Chinese cities (2001–2020) using satellite observations. The results suggest that the economic output of specific agricultural lands and the intensity of agricultural productivity relative to economic output are the main positive and negative drivers of changes in agricultural NPP, respectively. Moreover, different types of NPP inequality show distinct trends, which are predominantly attributed to regional variations in productivity intensity. Multi-model projections suggest overall NPP growth by 2030, yet caution is warranted given threshold effects of human activities and nonlinear climate responses. This study highlights the importance of reducing inequality in NPP and carefully considering multi-model-based policy formulations for carbon neutrality.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Inequality and Future Trends in Agricultural Net Primary Productivity Across Chinese Cities Based on Satellite Data

  • 期刊论文

  • 发表日期：

    2025年8月7日

查看全文
  • Chong Xu,
  • Zhiwen Li,
  • Jiafu An,
  • Jiandong Chen

摘要

Accurate assessment of agricultural net primary productivity (NPP) is critical for carbon–neutral policies, yet the spatial heterogeneity and long-term dynamics of NPP across diverse ecosystems remain poorly quantified. This study evaluates the spatiotemporal inequality and future trajectories of cropland, forest, grassland, and water-body NPP in Chinese cities (2001–2020) using satellite observations. The results suggest that the economic output of specific agricultural lands and the intensity of agricultural productivity relative to economic output are the main positive and negative drivers of changes in agricultural NPP, respectively. Moreover, different types of NPP inequality show distinct trends, which are predominantly attributed to regional variations in productivity intensity. Multi-model projections suggest overall NPP growth by 2030, yet caution is warranted given threshold effects of human activities and nonlinear climate responses. This study highlights the importance of reducing inequality in NPP and carefully considering multi-model-based policy formulations for carbon neutrality.