Analysis of spatial and temporal characteristics and evolution of green total factor productivity in agriculture in the lower Yellow River basin DOI Creative Commons
Jianlong He, Mingyang Han

Frontiers in Sustainable Food Systems, Год журнала: 2024, Номер 8

Опубликована: Ноя. 11, 2024

The construction of ecological barriers in the Yellow River Basin represents a significant step toward reducing agricultural carbon emissions, achieving neutrality, and reaching peaking China. diverse agrarian development objectives various regions within basin have resulted heterogeneous approach to greening agriculture. Therefore, this paper will evaluate sink agriculture across 34 cities municipalities lower from 2008 2021 based on EBM-GML model, analyze spatial-temporal evolution green total factor productivity (AGTFP) each region through application Moran index, kernel density estimation, spatial Markov chain analysis. results demonstrate that emissions Lower gradually decreased throughout study period. Furthermore, overall emission efficiency improved, indicating potential for further reduction. In addition, Agricultural Green Technology Progress (AGTC) has become primary driver AGTFP growth, while Efficiency (AGEC) demonstrated gradual upward trend. Locally, most areas are weakly connected display an isolated analysis notable degree mobility distributional dynamics characterized by narrowing gap between locations. transfer types reaches is stable, with noticeable “club convergence” phenomenon, geographical conditions significantly influence region. Based long-term trend predictions, future trajectory appears optimistic expected improve progressively, distribution tending equilibrium.

Язык: Английский

Trend Analysis of MODIS Land Surface Temperature and Land Cover in Central Italy DOI Creative Commons
Ebrahim Ghaderpour, Paolo Mazzanti, Francesca Bozzano

и другие.

Land, Год журнала: 2024, Номер 13(6), С. 796 - 796

Опубликована: Июнь 4, 2024

Land Surface Temperature (LST) is an important climate factor for understanding the relationship between land surface and atmosphere. Furthermore, LST linked to soil moisture evapotranspiration, which can potentially alter severity regime of wildfires, landslide-triggering precipitation thresholds, others. In this paper, monthly daytime nighttime products Moderate Resolution Imaging Spectroradiometer (MODIS) are employed period 2000–2023 in order find areas that have been cooling or warming a region great interest Central Italy, due its complex geological geomorphological settings recent seismic sequences landslide events. The annual MODIS cover images 2001–2022 also utilized investigate interconnection change. results non-parametric Mann–Kendall trend test associated Sen’s slope reveal significant region, particularly July, forest woodland expansion. Grasslands toward coastline with low elevation (less than 500 m a.s.l.) experienced heat waves during summer, more 35 °C. A negative correlation observed each calendar month. particular, 80% winter respectively. addition, gradual drainage noticed Lake Campotosto. study could be useful wildfire susceptibility analyses hazard management.

Язык: Английский

Процитировано

26
Analysis of spatial and temporal characteristics and evolution of green total factor productivity in agriculture in the lower Yellow River basin DOI Creative Commons
Jianlong He, Mingyang Han

Frontiers in Sustainable Food Systems, Год журнала: 2024, Номер 8

Опубликована: Ноя. 11, 2024

The construction of ecological barriers in the Yellow River Basin represents a significant step toward reducing agricultural carbon emissions, achieving neutrality, and reaching peaking China. diverse agrarian development objectives various regions within basin have resulted heterogeneous approach to greening agriculture. Therefore, this paper will evaluate sink agriculture across 34 cities municipalities lower from 2008 2021 based on EBM-GML model, analyze spatial-temporal evolution green total factor productivity (AGTFP) each region through application Moran index, kernel density estimation, spatial Markov chain analysis. results demonstrate that emissions Lower gradually decreased throughout study period. Furthermore, overall emission efficiency improved, indicating potential for further reduction. In addition, Agricultural Green Technology Progress (AGTC) has become primary driver AGTFP growth, while Efficiency (AGEC) demonstrated gradual upward trend. Locally, most areas are weakly connected display an isolated analysis notable degree mobility distributional dynamics characterized by narrowing gap between locations. transfer types reaches is stable, with noticeable “club convergence” phenomenon, geographical conditions significantly influence region. Based long-term trend predictions, future trajectory appears optimistic expected improve progressively, distribution tending equilibrium.

Язык: Английский

Процитировано

0