Seasonal Shifts of Morphological Traits and Dietary of Mactra veneriformis (Bivalvia: Mactridae) Populations in the Northern Yellow River Delta’s Intertidal Zone

Biology, Год журнала: 2025, Номер 14(2), С. 176 - 176

Опубликована: Фев. 10, 2025

In order to examine the seasonal variations in morphological characteristics and diet of Mactra veneriformis Northern Yellow River Delta’s intertidal zone provide a scientific basis for its resource conservation population restoration, tested clams were collected four consecutive seasons from summer 2022 spring 2023. Morphological traits measured, DNA stomach contents was analyzed using high-throughput sequencing. The tidal differences northern habitat Estuary significantly affect growth M. veneriformis. Among seasons, significant observed between middle-tide low-tide zones (p < 0.05). both zones, body wet weight winter higher than those other Moreover, extremely influenced by interaction tide season (two-way interaction, p 0.001). all middle- exhibited positive allometric growth. While there no difference content samples same > 0.05), This suggests that variations, rather differences, had larger impact on estuary feeding may be related changes environmental factors, such as temperature. findings this study initial insights into ecology offer foundation management resources.

Язык: Английский

Monitoring and Evaluation of Ecological Environment Quality in the Tianshan Mountains of China Using Remote Sensing from 2001 to 2020

Sustainability, Год журнала: 2025, Номер 17(4), С. 1673 - 1673

Опубликована: Фев. 17, 2025

High-altitude mountainous regions are highly vulnerable to climate and environmental shifts, with the current global change exerting a profound influence on ecological landscape of Tianshan Mountains in China. This study assesses security quality China from 2001 2020 by employing various remote sensing techniques such as Remote Sensing Ecological Index (RSEI) for evaluation, Normalized Difference Vegetation (NDVI) fractional vegetation cover (FVC) analysis, CASA model estimating primary productivity (NPP), carbon source/sink calculating net ecosystem (NEP) vegetation. The research also delves into evolutionary trends impact mechanisms environment using land use meteorological data. findings reveal that RSEI’s principal component (PC1) exhibits significant explanatory power, showing notable increase 5.90% 2020. Despite relatively stable changes RSEI over past two decades covering 61.37% area, there is prevalent anti-persistence pattern at 72.39%. Notably, NDVI, FVC, NPP display upward characteristics. While most areas continue emit carbon, marked NEP, signifying an enhanced absorption capacity. partial correlation coefficients between temperature, well precipitation, demonstrate statistically relationships (p < 0.05), encompassing 6.36% 1.55% respectively. Temperature displays predominantly negative 98.71% significantly correlated zones, while precipitation positive correlation. An in-depth analysis how affects provides crucial insights strategic interventions enhance regional protection promote sustainability.

Язык: Английский