Publication Information

{'id': 'https://openalex.org/W3024831068', 'doi': 'https://doi.org/10.13287/j.1001-9332.201910.019', 'title': '[Ecological risk assessment of landslide disasters based on potential loss of ecosystem services].', 'display_name': '[Ecological risk assessment of landslide disasters based on potential loss of ecosystem services].', 'publication_year': 2019, 'publication_date': '2019-10-01', 'ids': {'openalex': 'https://openalex.org/W3024831068', 'doi': 'https://doi.org/10.13287/j.1001-9332.201910.019', 'mag': '3024831068', 'pmid': 'https://pubmed.ncbi.nlm.nih.gov/31621243'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'https://pubmed.ncbi.nlm.nih.gov/31621243', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S4306525036', 'display_name': 'PubMed', 'issn_l': None, 'issn': None, 'is_oa': False, 'is_in_doaj': False, 'is_core': False, 'host_organization': 'https://openalex.org/I1299303238', 'host_organization_name': 'National Institutes of Health', 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Regional  Ecology,  Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China'], 'affiliations': [{'raw_affiliation_string': 'State Key  Laboratory of Urban  and Regional  Ecology,  Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China', 'institution_ids': ['https://openalex.org/I4210144289', 'https://openalex.org/I19820366']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5100444344', 'display_name': 'Wen Zhang', 'orcid': 'https://orcid.org/0000-0001-6513-5932'}, 'institutions': [{'id': 'https://openalex.org/I4210144289', 'display_name': 'Research Center for Eco-Environmental Sciences', 'ror': 'https://ror.org/03rpsvy57', 'country_code': 'CN', 'type': 'facility', 'lineage': ['https://openalex.org/I19820366', 'https://openalex.org/I4210144289']}, {'id': 'https://openalex.org/I19820366', 'display_name': 'Chinese Academy of Sciences', 'ror': 'https://ror.org/034t30j35', 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[134], 'precipitation,': [135], 'their': [137], 'mutual': [138], 'relationship.': [139], 'The': [140, 151, 175, 220], 'characterized': [146], 'by': [147, 156], 'landscape': [148], 'patterns': [149], 'indices.': [150], 'measured': [155], 'service': [158], 'to': [159, 255], 'evaluate': [160], 'associated': [164], 'hazards': [167], 'five': [170], 'results': [176], 'showed': [177], 'that': [178], 'high': [182, 221, 295], 'mainly': [189, 231], 'distributed': [190, 232], 'south': [193], 'Ailao': [195, 243], 'Mountain': [196, 201], 'Yunnan': [198], 'Province,': [199], 'Qionglai': [200, 239], 'Sichuan': [203], 'Pro-vince,': [204], 'Hengduan': [205], 'Mountains,': [206], 'Dadu': [207, 250], 'River': [208, 251], 'Basin,': [209], 'Northwest': [210], 'Autonomous': [212], 'Region,': [213], 'eastern': [215], 'area': [216, 230], 'Dayao': [218], 'Mountain.': [219], 'hazard': [226], 'study': [229], 'Min': [237], 'Mountain,': [238, 240, 242, 244, 248], 'Wuliang': [241], 'Miao': [245], 'Ridge,': [246], 'Leigong': [247], 'basin.': [252], 'With': [253], 'respect': [254], 'altitude,': [256], '500-1500': [257], 'm': [258], 'main': [261], 'high-risk': [262, 269, 279, 286], 'areas,': [263, 280], 'accounting': [264, 281], '37.9%': [266], 'area.': [270], 'terms': [272], 'types,': [275], 'forests': [276], '66.4%': [283], 'areas.': [287], 'Landslide': [288], 'monitoring': [289], 'early': [291], 'warning': [292], 'should': [299], 'be': [300], 'strengthened,': [301], 'through': [302], 'strengthening': [303], 'protection': [305], 'region': [308], 'improving': [310], 'stability': [312], 'resistance': [314], 'ecosystems.滑坡是山地常见的地质灾害,不仅对社会经济和人身安全造成严重威胁,而且也会对生态系统造成破坏,进而影响人类福祉.滑坡生态风险评价过程中用生态系统服务表征生态系统的潜在损失,可以为防灾减灾提供更系统全面的参考.西南五省区(四川、云南、贵州、广西、重庆)地貌类型多样、地层岩性复杂、地质构造运动活跃,是我国滑坡灾害最严重的地区之一.本研究从灾害危险性、生态系统脆弱性、生态系统潜在损失3个维度构建了滑坡灾害生态风险评价框架、模型和指标,其中,危险性基于地质、地形、地貌、降水等因素及相互组合关系进行综合分析所得,脆弱性用景观格局指数表征,潜在损失用生态系统服务来衡量,进而对西南五省区的滑坡灾害生态风险进行评估,结果表明:': [316], '生态系统潜在损失较高的地区主要分布在云南哀牢山以南、四川邛崃山、横断山脉、大渡河流域地区、广西北部及大瑶山以东地区.研究区滑坡高生态风险区主要分布在岷山、邛崃山、无量山、哀牢山、苗岭、雷公山及大渡河流域、三江并流等地区.从海拔分布来看,500～1500': [317], 'm是高风险主要分布的区域,占高风险面积的37.9%;从生态系统类型看,高风险区主要为森林生态系统类型,占高风险区域面积的66.4%.应加强高生态风险区的滑坡监测与预警,重点加强该区域生态系统保护,提高生态系统的稳定性与抵抗力.': [318]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W3024831068', 'counts_by_year': [{'year': 2024, 'cited_by_count': 3}, {'year': 2023, 'cited_by_count': 1}, {'year': 2021, 'cited_by_count': 2}], 'updated_date': '2025-01-03T10:42:28.630618', 'created_date': '2020-05-21'}