Iterative mapping of marine ecosystems for spatial status assessment, prioritization, and decision support

被引:6
作者
Sink, Kerry J. [1 ,2 ]
Adams, Luther A. [1 ]
Franken, Mari-Lise [1 ,3 ]
Harris, Linda R. [2 ]
Currie, Jock [1 ]
Karenyi, Natasha [3 ,4 ]
Dayaram, Anisha [1 ,5 ]
Porter, Sean [6 ]
Kirkman, Stephen [2 ,7 ]
Pfaff, Maya [3 ,7 ]
van Niekerk, Lara [2 ,8 ]
Atkinson, Lara J. [3 ,9 ]
Bernard, Anthony [10 ]
Bessinger, Mariel [1 ]
Cawthra, Hayley [11 ]
de Wet, Willem [12 ,13 ]
Dunga, Loyiso [1 ,3 ,14 ]
Filander, Zoleka [7 ]
Green, Andrew [14 ]
Herbert, David [15 ]
Holness, Stephen [2 ]
Lamberth, Stephen [2 ,16 ]
Livingstone, Tamsyn [17 ]
Luck-Vogel, Melanie [8 ,18 ]
Mackay, Fiona [6 ]
Makwela, Mapula [19 ]
Palmer, Ryan [10 ]
Van Zyl, Wilhem [11 ]
Skowno, Andrew [1 ,3 ]
机构
[1] South African Natl Biodivers Inst, Cape Town, South Africa
[2] Nelson Mandela Univ, Inst Coastal & Marine Res, Gqeberha, South Africa
[3] Univ Cape Town, Biol Sci, Cape Town, South Africa
[4] Univ Cape Town, Ctr Stat Ecol Environm & Conservat, Cape Town, South Africa
[5] Univ Witwatersrand, Sch Anim Plant & Environm Sci, Restorat & Conservat Biol Res Grp, Johannesburg, South Africa
[6] Oceanog Res Inst, Durban, Kwa Zula Natal, South Africa
[7] Branch Oceans & Coasts, Dept Forestry Fisheries & Environm, Cape Town, South Africa
[8] CSIR, Coastal Syst Res Grp, Stellenbosch, South Africa
[9] South African Environm Observat Network, Egagasini Node, Cape Town, South Africa
[10] South African Inst Aquat Biodivers, Makhanda, South Africa
[11] Council Geosci, Geophys & Remote Sensing Unit, Cape Town, South Africa
[12] Univ Cape Town, Marine Res Inst, Cape Town, South Africa
[13] Univ Cape Town, Dept Geol Sci, Cape Town, South Africa
[14] Univ KwaZulu Natal, Geol Sci, Durban, South Africa
[15] Natl Museum Wales, Dept Nat Sci, Cardiff, Wales
[16] Branch Fisheries Res & Dev, Dept Forestry Fisheries & Environm, Cape Town, South Africa
[17] Ezemvelo KwaZulu Natal Wildlife, Pietermaritzburg, South Africa
[18] Stellenbosch Univ, Dept Geog & Environm Studies, Stellenbosch, South Africa
[19] Univ Western Cape, Biodivers & Conservat Biol, Bellville, South Africa
来源
FRONTIERS IN ECOLOGY AND EVOLUTION | 2023年 / 11卷
基金
新加坡国家研究基金会;
关键词
ecosystem mapping; evidence-based biodiversity management; marine ecosystem map; ecosystem types; benthic ecosystems; pelagic ecosystems; BIOGEOGRAPHIC CLASSIFICATION; CAPE HAKE; COASTAL; IMPLEMENTATION; BIODIVERSITY; INTEGRATION; PROVINCES; FRAMEWORK; WORLD; SEAS;
D O I
10.3389/fevo.2023.1108118
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
South Africa has taken an iterative approach to marine ecosystem mapping over 18 years that has provided a valuable foundation for ecosystem assessment, planning and decision-making, supporting improved ecosystem-based management and protection. Iterative progress has been made in overcoming challenges faced by developing countries, especially in the inaccessible marine realm. Our aim is to report on the approach to produce and improve a national marine ecosystem map to guide other countries facing similar challenges, and to illustrate the impact of even the simplest ecosystem map. South Africa has produced four map versions, from a rudimentary map of 34 biozones informed by bathymetry data, to the latest version comprising 163 ecosystem types informed by 83 environmental and biodiversity datasets that aligns with the IUCN Global Ecosystem Typology. Data were unlocked through academic and industry collaborations; multi-disciplinary, multi-realm and multi-generational networks of practitioners; and targeted research to address key gaps. To advance toward a more transparent, reproducible and data-driven approach, limitations, barriers and opportunities for improvement were identified. Challenges included limited human and data infrastructure capacity to collate, curate and assimilate many data sources, covering a variety of ecosystem components, methods and scales. Five key lessons that are of relevance for others working to advance ecosystem classification and mapping, were distilled. These include (1) the benefits of iterative improvement; (2) the value of fostering relationships among a co-ordinated network of practitioners including early-career researchers; (3) strategically prioritizing and leveraging resources to build and curate key foundational biodiversity datasets and understand drivers of biodiversity pattern; (4) the need for developing, transferring and applying capacity and tools that enhance data quality, analytical workflows and outputs; and (5) the application of new technology and emerging statistical tools to improve the classification and prediction of biodiversity pattern. South Africa's map of marine ecosystem types has been successfully applied in spatial biodiversity assessment, prioritization to support protected area expansion and marine spatial planning. These successes demonstrate the value of a co-ordinated network of practitioners who continually build an evidence base and iteratively improve ecosystem mapping while simultaneously growing ecological knowledge and informing changing priorities and policy.
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页数:17
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