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| 1 | 服务于产业转型的矿业废弃地再利用优化与调控显示文摘矿业废弃地的优化再利用对资源型城镇转型所需的各项建设拓展空间具有重要的现实意义。该研究以北京市门头沟区为例,集成3S技术与实地调研,分析其矿业废弃地再利用的状况及时空变化,采用面向地理过程动态环境模型(Environment for Geoprocessing Objects,Dinamica EGO)模拟趋势发展情景下的矿业废弃地再利用格局;基于门头沟区“首都生态涵养发展区”的功能定位,耦合主成分分析与BP神经网络方法对矿业废弃地再利用为生态农业、生态旅游业、高新技术产业的适宜性进行评价;依据适宜性评价结果及产业转型的用地需求设置土地转换规则,结合生态位线性规划模型及约束条件对其进行数量结构优化,采用Dinamica EGO模型对服务于产业转型的矿业废弃地再利用空间格局进行优化;对比优化格局和趋势发展格局,进行调控。结果表明:1)2006—2018年门头沟区共323.30 hm^(2)的矿业废弃地得到再利用,西部各镇的矿业废弃地主要再利用为林地、耕地和果园,东部各镇的矿业废弃地主要再利用为林地、公园、住宅用地和高新技术产业用地;2)趋势发展情景格局中,再利用为生态农业用地的矿业废弃地分布于妙峰山镇和潭柘寺镇等,再利用为生态旅游业的矿业废弃地多分布在大台街道、王平镇等,再利用为高新产业用地的矿业废弃地多分布在大台街道和军庄镇等;服务于产业转型的矿业废弃地再利用优化格局中,再利用为生态农业的矿业废弃地面积为251.75 hm^(2),主要集中在军庄镇、王平镇等,再利用为生态旅游业的面积为64.25 hm^(2),主要分布在妙峰山镇、清水镇等,再利用为高新技术产业的面积为84.25 hm^(2),主要分布在王平镇和妙峰山镇;3)两情景下有108.5 hm^(2)的矿业废弃地再利用用途一致,无需调整。约有63.75 hm^(2)的矿业废弃地在趋势发展情景下被再利用为生态旅游用地,应调整为生态农业用地,约有61 hm^(2)的矿业废弃地在趋势发展情景下再利用为生态农业用地,应调整为生态旅游业用地;妙峰山镇、王平镇、永定镇约12.5 hm^(2)的矿业废弃地结合当地基础设施,调整发展为高新技术产业用地。研究成果可为当地矿业废弃地再利用的调控提供理论支持。 | 程琳琳 张宁凌 崔慧珍 尹玉亮 孙海元 | 2022 | 农业工程学报2022，38，23： | 1 |
| 2 | Potential distribution of a montane rodent (Cricetidae, Handleyomys chapmani) through time in Mexico: the importance of occurrence data显示文摘Ecological Niche Modeling uses the geographic coordinates of species presence records as the primary input to estimate potential geographic distributions.It is little known whether carrying out rigorous data pre-processing is necessary before building niche models to be transferred to different time period.Here we compared the current,past,and future potential distributions projected by niche models built from two different databases,an open-access database and a database compiled ad hoc,for Handleyomys chapmani,a rodent closely associated with montane cloud forests in Mexico.The models predicted different spatial patterns of climatic suitability for the three periods examined.Based on our current knowledge of cloud forest species in Mexico,the distributions predicted by the model built from the ad hoc database are more ecologically realistic than those obtained from the open-access database.The models built using the open-access database were particularly inaccurate at the limits of the geographic range,predicting larger,more diffuse distributions for the three periods.We conclude that pre-processing occurrence data is crucial for mountain species,as the number of localities and even minor inaccuracies in the geographic coordinates can translate into very different climatic conditions due to abrupt altitudinal changes.Finally,the predicted shifts in the potential distribution of H.chapmani over time indicate that this species is highly susceptible to climate change. | CANO Ivonne GUEVARA Lazaro | 2021 | Journal of Mountain Science2021，18，8： | 0 |
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