Abstract：
Global warming and unpredictable nature possess a negative impact on fisheries and the daily activities of other habitats. GIS and remote sensing approach is an effective tool to determine the morphological characteristics of the lake. The present study addresses the interactive effect of climate and landuse changes hit on fish catch in lake fisheries. We used a combination of the landscape disturbance index, vulnerability index, and loss index to construct a complete ecological risk assessment framework based on the landscape structure of regional ecosystems. The results indicate an increase from around 45%-76% in the percentage of land susceptible to moderate to ecological severe risk in the landscape from 2004 to 2023. Since 1950, temperature changes have increased by 0.4%, precipitation has decreased by 6%, and water levels have decreased by 4.2%, based on the results. The results indicate that landuse, water temperature, precipitation, and water depth significantly impact the aquaculture system. The findings strongly suggest integrating possible consequences of environmental change on fish yield for governance modeling techniques to minimize their effects.
摘要：
全球变暖和不可预测的性质对渔业和其他栖息地的日常活动产生负面影响。GIS和遥感方法是确定湖泊形态特征的有效工具。本研究探讨了气候和土地利用变化对湖泊渔业渔获量的相互作用影响。我们使用了景观干扰指数的组合，脆弱性指数，损失指数,构建基于区域生态系统景观结构的完整生态风险评价框架。结果表明，从2004年到2023年，景观中易受中度至严重生态风险影响的土地百分比从约45％增加到76％。自1950年以来，温度变化增加了0.4%，降水量减少了6%,水位下降了4.2%，根据结果。结果表明，土地利用，水温,降水,和水深显著影响水产养殖系统。研究结果强烈建议将环境变化对鱼类产量的可能影响整合到治理建模技术中，以最大程度地减少其影响。
