Paper title：基于机器学习的长江经济带生态安全格局时空演变特征与驱动机制 Paper abstract：利用智能算法刻画复杂生态系统的生态安全格局时空演变特征与驱动机制，对流域生态安全评估具有重要意义。以长江经济带为研究区域，基于多源遥感数据、气象与社会经济数据，构建“机器学习—生态系统服务评估—生态网络分析”集成框架，首先利用In VEST模型定量进行生态系统服务评估，在此基础上，构建生态安全指数（ESI）；应用随机森林（RF）模型识别生态安全主导因子并预测生态系统安全ESI空间分布；并结合形态空间格局分析（MSPA）识别生态源地，Zonation模型确定优先保护等级，再基于电路理论（Circuit scape）构建生态廊道与关键节点；最后通过地理探测器分析驱动因子交互对生态安全格局的复合驱动效应，并在历史与SSP2–4.5情景下开展动态演化与不确定性分析。结果表明：（1）2000—2025（预测）年，长江经济带生态系统服务功能总体提升7.8%，生态安全空间格局呈“上游显著提升、中游相对稳定、下游局部下降”特征。（2）生态源地总面积由685,200 km²增至761,800 km²（+11.2%），生态廊道总长度由4237 km增至5129 km（+17.1%），生态网络连通度（PC）与整体连接指数（IIC）分别提高17.1%与12.5%。（3）随机森林结果表明，降水（贡献率19.3%）、NDVI（16.7%）、建设用地比例（11.4%）和人口密度（9.5%）为主要驱动因子；其中气候因子与人类活动因子存在显著非线性增强效应，PRE∩BUL与URB∩NDVI交互q值分别达0.412和0.435。（4）在SSP2–4.5气候情景下，生态阻力面较现状提高12.4%，中下游生态网络脆弱性增加约9%，生态连通性下降3.6%。综合来看，长江经济带生态安全格局整体趋于优化，但区域差异显著，上游生态屏障功能增强，中下游城镇化压力仍然突出。研究构建的“机器学习—生态网络”集成框架能有效识别生态安全格局的动态演变规律与复合驱动机制，突破传统线性模型的局限，为长江流域生态红线划定、生态廊道优化与“生态安全—高质量发展”协同提供科学支撑。 Paper type：研究型论文 Tutor：李季

论文题目：长江经济带农业脆弱性与碳排放耦合关系研究 数据在研究中的作用：分析碳收支 论文类型：硕士论文 导师姓名：葛小东

黑河流域典型生态系统碳循环过程观测与模拟研究项目参考

论文题目：祁连山大气降水及湿沉降的环境指示意义 数据在研究中的作用：用于研究区概况中 论文类型：硕士论文 导师姓名：李宗省

用这个数据进行相关分析，用这个数据进行相关分析，用这个数据进行相关分析，用这个数据进行相关分析，用这个数据进行相关分析，用这个数据进行相关分析，用这个数据进行相关分析，

浙江省土地利用分布的分析，需要森林的详细分类。

Paper title：Dynamic of Nighttime Evapotranspiration and Responses to Control Factors in the Artemisia ordosica condition Paper abstract：Nighttime evapotranspiration (ETN) and non-rainfall water (NRW) are significant components of the hydrological cycle in arid and semi-arid ecosystems. However, the current understanding of the water sources of ETN of typical shrubs in arid and semi-arid regions and their control by environmental and soil factors are still unclear. To address this knowledge gap, this study observed the formation characteristics of ETN and NRW under the Artemisia ordosica condition from October 2021 to September 2023. A large weighing lysimeter was installed to measure the amount of NRW and ETN with the Artemisia ordosica condition in the Mu Us Sandy Land. The findings revealed that the mean annual ETN and NRW were 59.68 mm and 45.61 mm, constituting 16.02% and 12.27% of the mean annual rainfall. Furthermore, ETN accounted for 14.3% of the total ET, with its formation primarily occurring when the plant canopy and soil surface were wet. On a nocturnal timescale, the formation of ETN reached its peak one hour before sunrise. Furthermore, the amount of NRW was closed to ETN during the dry season. ETN was dominantly controlled by air temperature (wet season) and relative humidity (dry season). Notably, NRW exhibited a positive impact on the water budget under Artemisia ordosica condition, a phenomenon that was more pronounced in dry years. When considering NRW (91.22 mm) as an important source of water supply in the arid region besides rainfall (743.6 mm), NRW + rainfall (834.82 mm) was 2.11 mm higher than ET (832.71 mm) from October 2021 to September 2023. This study contributes to a more profound understanding of the characteristics of nocturnal input and output water changes under the Artemisia ordosica condition and highlights the significance of the influencing factors in regulating NRW and ETN in shrub ecosystems of arid and semi-arid regions. Paper type：Research Article Tutor: Zaiyong Zhang

用于高原生态植物种类、生态恢复等调查使用

近期因项目需要，需要开展黄河流域植被类型调查。

黄河流域山东段湿地区，黄河河口三角洲植被覆盖类型研究