遇见数据集

Focus map agri-environmental objective « birds » v1.2

收藏
Zenodo2025-05-14 更新2026-05-26 收录
官方服务:

资源简介:

The published data were produced in the framework of Klein et al. 2025, parts of the project and co-authors were funded by Agroscope, the Swiss Federal Office for the Environment (FOEN) // Swiss Government under the project “ValPar.CH: Values of the ecological infrastructure in Swiss parks” (grant no. A1.2) and BiodivERsA-Belmont Forum Call on “Scenarios of Biodiversity and Ecosystem services” (grant no. BiodivScen-157). The objective of the project was to combine field-level impact of agricultural activities with the potential distribution of Swiss priority birds. The impact was assessed for 2021, using the Swiss Agricultural Life Cycle Assessment for Biodiversity (SALCA-BD, Jeanneret et al. 2014). The potential was assessed by aggregating predictions from species distribution models of 27 bird priority species, modelled as part of the ValParCH project (Adde et al. 2023), using the SWECO25 database for environmental predictors (Külling et al. 2024). First, an optimized hot spot analysis using ArcGIS pro was conducted separately on estimated impact and distribution potential. Second, they were combined using a multivariate clustering with K-means statistics to identify clusters with comparable combinations between high and low impact and high and low potential. The resulting map shows 7 clusters with distinct combinations of high/low impact and potential. The spatial resolution of the raster dataset is 25 m.

本公开数据集基于Klein等(2025)的研究框架产出,部分项目内容及合作作者的经费由瑞士联邦农业研究院(Agroscope)、瑞士联邦环境办公室(FOEN,隶属于瑞士政府)资助。资助项目包括“ValPar.CH:瑞士公园生态基础设施价值”(项目编号A1.2)以及面向“生物多样性与生态系统服务情景”研究的BiodivERsA-贝尔蒙特论坛专项(项目编号BiodivScen-157)。本项目旨在将农业活动的田间尺度影响与瑞士重点鸟类的潜在分布格局相结合。本次影响评估以2021年为基准年,采用瑞士生物多样性农业生命周期评估方法(SALCA-BD,Jeanneret等,2014)开展。潜在分布格局则通过汇总27种瑞士重点鸟类的物种分布模型预测结果进行评估,该模型为ValParCH项目(Adde等,2023)的研究内容,环境预测变量取自SWECO25数据库(Külling等,2024)。研究首先采用ArcGIS Pro分别针对农业影响评估结果与鸟类分布潜力开展优化热点分析。随后通过K-means多元聚类方法将二者融合,以识别农业影响与分布潜力高低组合特征各异的聚类单元。最终生成的专题地图包含7类聚类,各类聚类均具有独特的高低影响与潜力组合特征。本栅格数据集的空间分辨率为25米。

提供机构:
Zenodo
创建时间:
2025-04-22
二维码
社区交流群
二维码
科研交流群
商业服务