Assessing the ecological vulnerability of protected areas by using Big Earth Data
The ecological vulnerability of global protected areas (PAs) is linked to the 2030 United Nations Sustainable Development Goals. We developed a novel degree of ecological vulnerability (DEV) index based on Big Earth Data to assess the ecological vulnerability of PAs. This is a transparent, repeatabl...
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Veröffentlicht in: | International journal of digital earth 2021-11, Vol.14 (11), p.1624-1637 |
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container_issue | 11 |
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container_title | International journal of digital earth |
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creator | Zheng, Yaomin Wang, Shudong Cao, Yue Shi, Jinlian Qu, Yi Li, Liping Zhao, Tianjie Niu, Zhenguo Yang, Rui Gong, Peng |
description | The ecological vulnerability of global protected areas (PAs) is linked to the 2030 United Nations Sustainable Development Goals. We developed a novel degree of ecological vulnerability (DEV) index based on Big Earth Data to assess the ecological vulnerability of PAs. This is a transparent, repeatable, large-scale and rapid assessment method. We applied the method to case studies of International Union for Conservation of Nature (IUCN) PAs in the basins of the Aral Sea, the Caspian Sea, the Black Sea and the Lake Baikal. Between 2001 and 2015, the spatial pattern of ecological vulnerability in the study area was relatively stable. The Caspian Sea basin and protected landscape/seascape (category V) showed high ecological vulnerability, while the Black Sea basin and wilderness areas (category I
b
) showed low ecological vulnerability. Big Earth Data shows great vitality in PAs ecological vulnerability assessment. Strengthening international cooperation is an important means to break the bottleneck of ecological environment and resource endowment in these important international basins. |
doi_str_mv | 10.1080/17538947.2021.1962995 |
format | Article |
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b
) showed low ecological vulnerability. Big Earth Data shows great vitality in PAs ecological vulnerability assessment. Strengthening international cooperation is an important means to break the bottleneck of ecological environment and resource endowment in these important international basins.</description><subject>assessment</subject><subject>Assessments</subject><subject>Basins</subject><subject>Earth</subject><subject>ecological vulnerability</subject><subject>International cooperation</subject><subject>International organizations</subject><subject>Lakes</subject><subject>Landscape protection</subject><subject>Nature conservation</subject><subject>Ocean basins</subject><subject>Protected areas</subject><subject>remote sensing</subject><subject>Sustainable development</subject><subject>Sustainable Development Goals</subject><subject>Vulnerability</subject><subject>Wilderness</subject><subject>Wilderness areas</subject><issn>1753-8947</issn><issn>1753-8955</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNp9UU1rGzEQFaWFum5-QkCQs119rLTSLW6aNoZACSRnMdJKjsxm5Upyi_995DjJsXOZYZj33sw8hM4pWVKiyDfaC6501y8ZYXRJtWRaiw9oduwvlBbi43vd9Z_Rl1K2hEjSdXyG7lal-FLitMH10WPv0pg20cGI_-7HyWewcYz1gFPAu5yqd9UPGLKHgu0B71-A3-MGX0Ouj_gHVPiKPgUYiz97zXP08PP6_upmcfv71_pqdbtwgvZ1Adx6MSjJBjZQqTkDwThh2koLPFhmuWUtBdVZS4jrVAvNVC-VddAzxudofeIdEmzNLscnyAeTIJqXRsob03aKbvQmcM8JdUFzJTrbSejVoLyUQJ1QgUDjujhxtRv_7H2pZpv2eWrrGyaaKiOifWuOxGnK5VRK9uFdlRJzdMK8OWGOTphXJxru8oSLU0j5Cf6lPA6mwmFMOWSYXCyG_5_iGdKXjsU</recordid><startdate>20211102</startdate><enddate>20211102</enddate><creator>Zheng, Yaomin</creator><creator>Wang, Shudong</creator><creator>Cao, Yue</creator><creator>Shi, Jinlian</creator><creator>Qu, Yi</creator><creator>Li, Liping</creator><creator>Zhao, Tianjie</creator><creator>Niu, Zhenguo</creator><creator>Yang, Rui</creator><creator>Gong, Peng</creator><general>Taylor & Francis</general><general>Taylor & Francis Ltd</general><general>Taylor & Francis Group</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H8D</scope><scope>H96</scope><scope>KR7</scope><scope>L.G</scope><scope>L7M</scope><scope>SOI</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-6125-730X</orcidid><orcidid>https://orcid.org/0000-0002-0914-599X</orcidid></search><sort><creationdate>20211102</creationdate><title>Assessing the ecological vulnerability of protected areas by using Big Earth Data</title><author>Zheng, Yaomin ; 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We developed a novel degree of ecological vulnerability (DEV) index based on Big Earth Data to assess the ecological vulnerability of PAs. This is a transparent, repeatable, large-scale and rapid assessment method. We applied the method to case studies of International Union for Conservation of Nature (IUCN) PAs in the basins of the Aral Sea, the Caspian Sea, the Black Sea and the Lake Baikal. Between 2001 and 2015, the spatial pattern of ecological vulnerability in the study area was relatively stable. The Caspian Sea basin and protected landscape/seascape (category V) showed high ecological vulnerability, while the Black Sea basin and wilderness areas (category I
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subjects | assessment Assessments Basins Earth ecological vulnerability International cooperation International organizations Lakes Landscape protection Nature conservation Ocean basins Protected areas remote sensing Sustainable development Sustainable Development Goals Vulnerability Wilderness Wilderness areas |
title | Assessing the ecological vulnerability of protected areas by using Big Earth Data |
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