{"id":"5ee4b124-671d-4893-94b8-1d24e1fe1dc8","title":"气候模型预测技术框架预测数据","title_en":"Framework data of species distribution model construction","serial":"","user_limit":"为尊重知识产权、保障数据作者的权益、扩展数据中心的服务、评估数据的应用潜力，请数据使用者在使用数据所产生的研究成果中（包括公开发表的论文、论著、数据产品和未公开发表的研究报告、数据产品等成果），明确注明数据来源和数据作者。对于转载（二次或多次发布）的数据，作者还须注明原始数据来源。","instructions":"图片形式，可以采用Photoshop打开查看和分析","description":"本技术框架旨在评估不同类型环境因素对物种分布的影响，进而改善模型预测能力，更准确地评估未来物种分布区域的变化。通过设定不同类型环境因子的组合，预测末次冰期物种分布范围。再与现在分布范围进行比较，得到不同的假定物种群体动态模型。通过遗传数据，重建物种群体进化历史，并与基于物种分布模型获得的假定群体进化历史进行比较，确定预测能力最好的环境因子组合。再利用该环境因子组合，预测未来气候变化背景下物种分布区域的可能变化。本技术框架利用物种群体历史，对气候模型进行检验，可以有效改进物种分布模型的预测能力。","doi":"10.11888/Ecolo.tpdc.270510","projection":"","language":"zh","share_type":"online","east":100.0,"west":78.0,"south":27.0,"north":37.0,"scale":null,"crs":null,"filesize":0.28,"share_policy":"a","ts_created":"2019-07-03T14:02:38.874478+08:00","doi_type":"拥有自主知识产权","ts_updated":"2021-04-19T15:14:47.256425+08:00","time_description":"","datas_group":3,"time_description_en":"","data_format":null,"project":[11],"specials":["f2a78cde-1c98-4241-94dc-7532eba32b80"],"cite":null,"review_status":5,"review_invite":[{"user_name":"冉有华","username":"ryh","email":"ranyh@lzb.ac.cn","is_cancel_expert":false},{"user_name":"张东菊","username":"zhangdj","email":"djzhang@lzu.edu.cn","is_cancel_expert":false}],"review_editor":{"id":42421,"last_login":"2022-04-08T15:16:51.670544+08:00","username":"任慧霞","email":"510727846@qq.com","is_active":true,"is_staff":true,"user_name":"任慧霞"},"data_sources":"","temporal_resolution":"1 year < x < 10 year","spatial_resolution":"100km - 1000km","license":"Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","fund":[6],"subtopics":{"metadata":"5ee4b124-671d-4893-94b8-1d24e1fe1dc8","three_pole":null,"third_pole":"XDA20050201"},"username":"XDA20050201","review_time":"2020-06-06T15:56:35.920454+08:00","protected_duration":6,"protected_describe":null,"is_important":false,"hit_count":1993}