Addressing risks to biodiversity arising from a changing climate: The need for ecosystem restoration in the Tana River Basin, Kenya
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35. Maingi JK, Marsh SE. Quantifying hydrologic impacts following dam construction along the Tana River, Kenya. Journal of Arid Environments. 2002; 50: 53–79. https://doi.org/10.1006/jare.2000.0860 36. Hamerlynck O, Nyunja J, Luke Q, Nyingi D, Lebrun D, Duvail S. The communal forest, wetland, range- land and agricultural landscape mosaics of the Lower Tana, Kenya: A socio-ecological entity in peril. Sustainable use of biological di-versity in socio-ecological production landscapes. 2010; 54. 37. Sood A, Muthuwatta L, Silva S, McCartney M. Understanding the hydrological impacts of climate change in the Tana River Basin. 2017. 38. Nakaegawa T, Wachana C, KAKUSHIN Team-3 Modeling Group. First impact assessment of hydrolog- ical cycle in the Tana River Basin, Kenya, under a changing climate in the late 21st Century. Hydrologi- cal Research Letters. 2012; 6: 29–34. https://doi.org/10.3178/hrl.6.29 39. GoK. Kenya Vision. 2030. A Globally Competitive and Prosperous Kenya. Nairobi: Government of Kenya; 2007. 40. Birdlife International. World Database of Key Biodiversity Areas. Developed by the KBA Partnership: BirdLife International, International Union for the Conservation of Nature, Amphibian Survival Alliance, Conservation International, Critical Ecosystem Partnership Fund, Global Environment Facility, Global Wildlife Conservation, NatureServe, Rainforest Trust, Royal Society for the Protection of Birds, Wildlife Conservation Society and World Wildlife Fund. 2020. Available: www.keybiodiversityareas.org.
41. Olson DM, Dinerstein E. The Global 200: Priority Ecoregions for Global Conservation. Annals of the Missouri Botanical Garden. 2002; 89: 199–224. https://doi.org/10.2307/3298564 42. Ongwenyi GS, Denga FG, Abwao P, Kitheka JU. Impacts of floods and drought on the development of water resources of Kenya: case studies of Nyando and Tana catchments. 1993. 43. MENR. Kenya National Water Master Plan 2030. Nairobi: Government of Kenya; 2013. 44. IUCN, UNEP-WCMC. World Database on Protected Areas. In: Protected Planet [Internet]. 2016 [cited 1 Jun 2016]. Available: protectedplanet.net 45. Terer T, Ndiritu GG, Gichuki NN. Socio-economic values and traditional strategies of managing wetland resources in Lower Tana River, Kenya. Hydrobiologia. 2004; 527: 3–15. https://doi.org/10.1023/B: HYDR.0000043332.96368.c5 46. Wieczkowski J, Mbora DN. Recent forest destruction and its impacts on critically endangered primates in the lower Tana River, Kenya. AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY. WILEY- LISS DIV JOHN WILEY & SONS INC, 605 THIRD AVE, NEW YORK, NY 10158–0012 USA; 2002. pp. 164–164. 47. Warren R, Price J, Graham E, Forstenhaeusler N, VanDerWal J. The projected effect on insects, verte- brates, and plants of limiting global warming to 1.5 C rather than 2 C. Science. 2018; 360: 791–795. https://doi.org/10.1126/science.aar3646 PMID: 29773751 48. Osborn TJ, Wallace CJ, Harris IC, Melvin TM. Pattern scaling using ClimGen: monthly-resolution future climate scenarios including changes in the variability of precipitation. Climatic Change. 2016; 134: 353–
369. https://doi.org/10.1007/s10584-015-1509-9 49. Phillips SJ, Anderson RP, Schapire RE. Maximum entropy modeling of species geographic distribu- tions. Ecological modelling. 2006; 190: 231–259. 50. GBIF.org. GBIF Occurrence Download. 2015. Available: https://doi.org/10.15468/dl.kecdhx 51. Warren R, Price J, VanDerWal J, Cornelius S, Sohl H. The implications of the United Nations Paris Agreement on climate change for globally significant biodiversity areas. Climatic change. 2018; 147: 395–409. 52. ESA CCI. Land Cover CCI 2015. In: ESA CCI-LC Land Cover [Internet]. 2017. Available: https://www. esa-landcover-cci.org/ 53. GoK. National Spatial Plan. Nairobi: Government of Kenya; 2017. 54. Thomas CD, Cameron A, Green RE, Bakkenes M, Beaumont LJ, Collingham YC, et al. Extinction risk from climate change. Nature. 2004; 427: 145–148. https://doi.org/10.1038/nature02121 PMID: 14712274 55. Bateman BL, Murphy HT, Reside AE, Mokany K, VanDerWal J. Appropriateness of full-, partial-and no- dispersal scenarios in climate change impact modelling. Diversity and Distributions. 2013; 19: 1224– 1234. 56. Spooner FE, Pearson RG, Freeman R. Rapid warming is associated with population decline among ter- restrial birds and mammals globally. Global change biology. 2018; 24: 4521–4531. https://doi.org/10. 1111/gcb.14361 PMID: 30033551 57. Pearson RG, Dawson TP. Long-distance plant dispersal and habitat fragmentation: identifying conser- vation targets for spatial landscape planning under climate change. Biological conservation. 2005; 123: 389–401. PLOS ONE
Risks to Kenya’s biodiversity from climate change PLOS ONE | https://doi.org/10.1371/journal.pone.0254879 July 21, 2021 23 / 25