Effects of Habitat Loss on Tenebrionidae in Gravel–Sand Mulching Areas of Desert Steppe in Ningxia, China

Agronomy, Journal Year: 2024, Volume and Issue: 14(11), P. 2518 - 2518

Published: Oct. 26, 2024

The desert steppe in Ningxia is the largest natural type region, characterized by a fragile ecological environment and low carrying capacity. Gravel–sand mulching, local agricultural practice, involves using sand gravel covering layer to maintain soil warmth moisture. However, this method has led problems, such as habitat loss biodiversity loss. Tenebrionidae, one of most widely distributed beetle families, commonly used indicate degradation significant pest areas. This study, conducted gravel–sand mulching areas Shapotou District, Zhongwei City, Ningxia, classified from high these into five grades (I-V) examined effects on Tenebrionidae. We collected 6565 with Blaps femoralis, Anatolica nureti, Pterocoma vittata being dominant species. findings reveal that grade I had highest abundance, diversity index, evenness index significantly higher than those II–IV. Habitat negative effect Tenebrionidae positive richness no vegetation available potassium (APP), total phosphorus (TP). Redundancy analysis indicated correlation between abundance index; richness, indices; TP; TP APP. These will contribute conservation restoration provide theoretical basis for management, sustainable development, monitoring environments.

Language: Английский

Human and natural factors affect habitat quality in ecologically fragile areas: evidence from Songnen Plain, China

Frontiers in Plant Science, Journal Year: 2024, Volume and Issue: 15

Published: Nov. 19, 2024

Habitat quality (HQ) has been progressively degrading worldwide in recent decades due to rapid climate change and intensive human activities. These changes not only threaten biodiversity ecosystem functions, but also impact socio-economic development. Therefore, a few studies have focused on the dynamics of HQ its natural anthropogenic drivers. However, many contributions failed reveal how these factors interact HQ, especially ecologically fragile areas. We estimated Songnen Plain Northeast China, an area, from 2000 2020 using InVEST model explored response interactions (topography, climate, NDVI) (nighttime light index, population density) influencing Structural Equation Modelling (SEM). The results showed that 1) decreased constantly 2018, then increased slightly 2018 2020. 2) In terms spatial distribution, appeared be highly heterogeneous with pattern 'high east - low center high west' at each time point. high-HQ areas were significantly clustered eastern parts dense forests, while low-HQ central dominated by large number man-made patches agriculture towns or cities. 3) patterns are mainly affected including environment disturbance. Natural had greater than disturbance, disturbance significant negative among all 4 points. Furthermore, intensity various habitat quality, as well positive effects drivers changed over time. most important factor was temperature topography 2010, This study can provide suggestions for future ecological protection restoration similar

Language: Английский