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浏览/检索结果: 共270条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择作者升序作者降序发表日期升序发表日期降序题名升序题名降序提交时间升序提交时间降序 Reconstruction of cropland distribution in Northeast China from 1700 to 2020: A high-resolution gridded dataset and suitability-based allocation model 期刊论文  OAI收割 LAND USE POLICY, 2026, 卷号: 165, 页码: 108006 作者:  Tan, Gefei;  Fang, Haiyan   |  收藏  |  浏览/下载：1/0  |  提交时间：2026/04/16 Anthropocene  Land use and land cover change  Historical reconstruction  Mollisols region  Suitability coefficient   Environmental Flow Regimes Shape Spawning Habitat Suitability for Four Carps in the Pearl River, China 期刊论文  OAI收割 SUSTAINABILITY, 2026, 卷号: 18, 期号: 3, 页码: 1236 作者:  Yu, Chunxue;  Peng, Qiu'e;  Zhou, Huabing;  Zhang, Yali   |  收藏  |  浏览/下载：1/0  |  提交时间：2026/03/16 hydrodynamic model  environmental flow  spawning suitability  four major Chinese carps  fishery resource sustainability   Spatiotemporal Reconstruction of Cropland Cover on the Korean Peninsula over the Past Millennium from Historical Archives and Remote-Sensing-Based Data 期刊论文  OAI收割 LAND, 2026, 卷号: 15, 期号: 1, 页码: 117 作者:  Li, Meijiao;  Zhao, Caishan;  He, Fanneng;  Li, Shicheng;  Yang, Fan   |  收藏  |  浏览/下载：0/0  |  提交时间：2026/03/16 land use change  historical cropland cover  spatial allocation model  land suitability  environmental change  Korean Peninsula   Climate-driven expansion and northwest migration of earthworm habitats on China's Loess Plateau 期刊论文  OAI收割 ECOLOGICAL INDICATORS, 2026, 卷号: 182, 页码: 114491 作者:  Li, Zhiyong;  Guo, Baojiang;  Long, Wei;  Li, Tongchuan;  Fu, Wei   |  收藏  |  浏览/下载：1/0  |  提交时间：2026/02/09 Earthworm  Habitat suitability  MaxEnt  Climate change  the Loess Plateau   Climate-driven expansion and northwest migration of earthworm habitats on China's Loess Plateau 期刊论文  OAI收割 ECOLOGICAL INDICATORS, 2026, 卷号: 182, 页码: 114491 作者:  Li, Zhiyong;  Guo, Baojiang;  Long, Wei;  Li, Tongchuan;  Fu, Wei   |  收藏  |  浏览/下载：0/0  |  提交时间：2026/04/16 Earthworm  Habitat suitability  MaxEnt  Climate change  the Loess Plateau   Rainwater Harvesting using Multi-Influence Factor, Fuzzy Overlay, WLC, and Geospatial Techniques: A Tool for Sustainable Groundwater Management 期刊论文  OAI收割 WATER AIR AND SOIL POLLUTION, 2025, 卷号: 237, 期号: 5, 页码: 28 作者:  Ullah, Niamat;  Tariq, Aqil;  Rehman, Tehmoor;  Ullah, Shafi;  Panezai, Sanaullah   |  收藏  |  浏览/下载：1/0  |  提交时间：2026/01/22 Multi-influence factor (MIF)  Fuzzy overlay  Weighted linear combination (WLC)  Rainwater harvesting  Potential zones  Suitability analysis   Land Suitability Assessment and Gap Analysis for Sustainable Taro (Colocasia esculenta (L.) Schott) Production in Rwanda Using Remote Sensing Data and a Fuzzy AHP Model 期刊论文  OAI收割 REMOTE SENSING, 2025, 卷号: 17, 期号: 24, 页码: 4062 作者:  Nsigayehe, Jean Marie Vianney;  Mo, Xingguo;  Liu, Suxia   |  收藏  |  浏览/下载：1/0  |  提交时间：2026/01/21 taro (Colocasia esculenta (L.) Schott)  Fuzzy AHP-GIS  land suitability  production gap  land use planning  food security   Reconstructing Millennial-Scale Spatiotemporal Dynamics of Japan's Cropland Cover 期刊论文  OAI收割 AGRONOMY-BASEL, 2025, 卷号: 15, 期号: 12, 页码: 2834 作者:  Li, Meijiao;  Zhao, Caishan;  He, Fanneng;  Li, Shicheng;  Yang, Fan   |  收藏  |  浏览/下载：0/0  |  提交时间：2026/01/21 land-use change  historical cropland cover  spatially explicit  land suitability  gridded allocation  environmental change  Japan  the past millennium   Human Settlements Suitability Based on Natural Characteristics of the Qinghai-Tibet Plateau 期刊论文  OAI收割 LAND, 2025, 卷号: 14, 期号: 11, 页码: 2260 作者:  Li, Wenjun;  Shi, Xiao;  Tian, Yu;  Fan, Feifei   |  收藏  |  浏览/下载：1/0  |  提交时间：2026/01/21 human settlements  suitability  population  Qinghai-Tibet Plateau   GeoKG-HSA: A framework for habitat suitability assessment with geospatial knowledge graphs 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2025, 卷号: 144, 页码: 104921 作者:  Xiao, Xin;  Wang, Peng;  Ge, Yong;  Luo, Jin;  Chen, Hao   |  收藏  |  浏览/下载：0/0  |  提交时间：2025/12/19 Habitat suitability assessment  Geospatial knowledge graph  Environmental modelling  Knowledge-driven  Machine learning