Many threats to biodiversity can be predicted and are well mapped but others are uncertain in their extent, impact on biodiversity, and ability for conservation efforts to address, making them more difficult to account for in spatial conservation planning efforts, and as a result, they are often ignored. Here, we use a spatial prioritisation analysis to evaluate the consequences of considering only relatively well-mapped threats to biodiversity and compare this with planning scenarios that also account for more uncertain threats (in this case mining and armed conflict) under different management strategies. We evaluate three management strategies to address these more uncertain threats: 1. to ignore them; 2. avoid them; or 3. specifically target actions towards them, first individually and then simultaneously to assess the impact of their inclusion in spatial prioritisations. We apply our approach to the eastern Democratic Republic of the Congo (DRC) and identify priority areas for conserving biodiversity and carbon sequestration services. We found that a strategy that avoids addressing threats of mining and armed conflict more often misses important opportunities for biodiversity conservation, compared to a strategy that targets action towards areas under threat (assuming a biodiversity benefit is possible). We found that considering mining and armed conflict threats to biodiversity independently rather than simultaneously results in 13 800-14 800 km and 15 700-25 100 km of potential missed conservation opportunities when undertaking threat-avoiding and threat-targeting management strategies, respectively. Our analysis emphasises the importance of considering all threats that can be mapped in spatial conservation prioritisation.
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http://dx.doi.org/10.1007/s13280-022-01724-0 | DOI Listing |
Environ Monit Assess
January 2025
College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing, China.
Exploring the response relationship between civil war, population and land cover change is of great practical significance for social stability in Myanmar. However, the ongoing civil war in Myanmar hinders direct understanding of the situation on the ground, which in turn limits detailed study of the intricate relationship between the dynamics of the civil war and its impact on population and land. Therefore, this paper explores the response relationship between civil war conflict and population and land cover change in Myanmar from 2010 to 2020 from the perspective of remote sensing using the land cover data we produced, the open spatial demographics data, and the armed conflict location and event data project.
View Article and Find Full Text PDFSci Adv
January 2025
Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208, USA.
Malar J
December 2024
Armed Forces Research Institute of Medical Sciences, 315/6 Ratchawithi Road, Thung Phaya Thai, Ratchathewi, Bangkok, 10400, Thailand.
Background: The Greater Mekong Subregion (GMS) aims to eliminate all human malaria by 2030 and is making substantial progress toward this goal, with malaria increasingly confined to forest foci. These transmission foci are predominantly inhabited by ethnic minorities, local populations, and rural mobile and migrant populations working in mining and agriculture. The recommendations of the World Health Organization (WHO) on malaria elimination states that small population groups which constitute a large proportion of the malaria transmission reservoir should benefit from targeted strategies to reduce transmission overall.
View Article and Find Full Text PDFArch Virol
October 2024
Walter Reed Biosystematics Unit, Museum Support Center MRC-534, Smithsonian Institution, 4210 Silver Hill Rd., Suitland, MD, 20746, USA.
Sci Rep
July 2024
Computational Biology and Drug Discovery Laboratory, Department of Biochemistry, Ladoke Akintola University of Technology, (LAUTECH), Ogbomoso, 210214, Nigeria.
The available Epstein Barr virus vaccine has tirelessly harnessed the gp350 glycoprotein as its target epitope, but the result has not been preventive. Right here, we designed a global multi-epitope vaccine for EBV; with special attention to making sure all strains and preventive antigens are covered. Using a robust computational vaccine design approach, our proposed vaccine is armed with 6-16 mers linear B-cell epitopes, 4-9 mer CTL epitopes, and 8-15 mer HTL epitopes which are verified to induce interleukin 4, 10 & IFN-gamma.
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