陕西省关键生态服务功能(固碳、水源涵养、水土保持、生境质量和氮磷固持)历史及未来多情景预测数据集(2000-2040年)

数据集包含陕西省关键生态服务功能（固碳、水源涵养、水土保持、生境质量和氮磷固持）的历史数据（2000-2020年）及未来多情景预测数据集（2020-2040年）。预测数据分为三种情景：惯性发展情景（ID）、生态优先保护情景（EPD）和城市优先发展情景（CPD）。数据模拟计算采用了PLUS模型和InVEST模型，其中PLUS模型用于预测未来土地利用变化，InVEST模型用于模拟和评估关键生态服务功能。数据涵盖了陕西省关中平原、陕北及秦巴山区等。数据可为未来土地利用及生态服务管理决策提供了宝贵的空间和时间尺度上的信息，尤其在不同情景下的生态服务变化方面具有重要的参考价值。InVEST模型模拟了水源涵养（WY）、固碳（CS）、水土保持（SC）、生境质量（HQ）及氮磷存储（NS/PS）等关键生态服务功能的时空变化。该模型基于地表植被、气候、地形等数据，通过空间分析和模型计算，为不同情景下的生态服务变化提供定量分析。PLUS模型则基于历史土地利用数据（2000-2020年）与多种驱动因素（如气候变化、社会经济发展等）预测未来（2020-2040年）陕西省土地利用的变化，进而影响生态服务功能。

This dataset contains historical data (2000–2020) and multi-scenario future prediction datasets (2020–2040) of key ecosystem services in Shaanxi Province, including carbon sequestration, water conservation, soil and water conservation, habitat quality, and nitrogen and phosphorus retention. The prediction data are categorized into three scenarios: Inertial Development (ID), Ecological Priority Protection (EPD), and Urban Priority Development (CPD). The data simulation and calculation adopt the PLUS model and InVEST model, where the PLUS model is used to predict future land use changes, while the InVEST model is employed to simulate and evaluate key ecosystem services. The dataset covers regions such as the Guanzhong Plain, northern Shaanxi, and the Qinba Mountains in Shaanxi Province. This dataset provides valuable spatial and temporal information for decision-making regarding future land use and ecosystem service management, and holds significant reference value, particularly for analyzing ecosystem service changes under different scenarios. The InVEST model simulates the spatiotemporal variations of key ecosystem services including water yield (WY), carbon sequestration (CS), soil and water conservation (SC), habitat quality (HQ), as well as nitrogen storage (NS) and phosphorus storage (PS). Grounded in surface vegetation, climate, topography and other datasets, this model delivers quantitative analyses of ecosystem service changes across different scenarios via spatial analysis and model computation. The PLUS model, based on historical land use data (2000–2020) and multiple driving factors such as climate change and socio-economic development, predicts land use changes in Shaanxi Province for the 2020–2040 period, which subsequently impacts ecosystem services.