Sensitivity of a tropical montane cloud forest to climate change, present, past and future: Mt. Marsabit, N. Kenya. (15th August 2019)
- Record Type:
- Journal Article
- Title:
- Sensitivity of a tropical montane cloud forest to climate change, present, past and future: Mt. Marsabit, N. Kenya. (15th August 2019)
- Main Title:
- Sensitivity of a tropical montane cloud forest to climate change, present, past and future: Mt. Marsabit, N. Kenya
- Authors:
- Los, Sietse O.
Street-Perrott, F. Alayne
Loader, Neil J.
Froyd, Cynthia A.
Cuní-Sanchez, Aida
Marchant, Robert A. - Abstract:
- Abstract: During the Last Glacial Maximum (LGM) lowland forests contracted throughout the tropics but, by contrast, many montane forest taxa moved to lower elevations. These taxa are often found in cloud forests, which are globally important ecosystems that depend on the capture of atmospheric water from fog drifting through the canopy, here referred to as occult precipitation. Understanding the response of tropical montane taxa to climate variations is limited by a lack of modern data on fog capture; whereas palaeoecological data only provide indirect evidence for its importance. Hence, the response of vegetation to fog capture is not considered in palaeo-estimates of precipitation. We develop a method that uses satellite Normalized Difference Vegetation Index (NDVI) data to estimate the annual amount of occult precipitation and investigate the sensitivity of a cloud forest to past and future changes in both rainfall and occult precipitation. We apply this method using satellite and meteorological data from 1982 to 2015 collected at Mt Marsabit, which is located in northern Kenya (2.34 ∘ N, 37.97 ∘ E, summit 1707 m a.s.l.). Mt Marsabit has a sub-humid tropical montane cloud forest at its summit that is excessively green for the amount of rain it receives. We estimate the annual amount of occult precipitation for current conditions at about 900 mm y −1 which is more than the average annual rainfall of 700 mm y −1 . This is consistent with the observation that, for the widerAbstract: During the Last Glacial Maximum (LGM) lowland forests contracted throughout the tropics but, by contrast, many montane forest taxa moved to lower elevations. These taxa are often found in cloud forests, which are globally important ecosystems that depend on the capture of atmospheric water from fog drifting through the canopy, here referred to as occult precipitation. Understanding the response of tropical montane taxa to climate variations is limited by a lack of modern data on fog capture; whereas palaeoecological data only provide indirect evidence for its importance. Hence, the response of vegetation to fog capture is not considered in palaeo-estimates of precipitation. We develop a method that uses satellite Normalized Difference Vegetation Index (NDVI) data to estimate the annual amount of occult precipitation and investigate the sensitivity of a cloud forest to past and future changes in both rainfall and occult precipitation. We apply this method using satellite and meteorological data from 1982 to 2015 collected at Mt Marsabit, which is located in northern Kenya (2.34 ∘ N, 37.97 ∘ E, summit 1707 m a.s.l.). Mt Marsabit has a sub-humid tropical montane cloud forest at its summit that is excessively green for the amount of rain it receives. We estimate the annual amount of occult precipitation for current conditions at about 900 mm y −1 which is more than the average annual rainfall of 700 mm y −1 . This is consistent with the observation that, for the wider Marsabit area, interannual variations in NDVI are more closely linked to changes in cloud-base height ( r 2 = 0.87 ) than to changes in rainfall ( r 2 = 0.67 ). We investigate the sensitivity of forest extent to past and future changes; for the LGM we estimate that cloud-base height decreased by 500 m in response to a 4 ∘ C cooling and that this caused a 20%–100% increase in forest area despite a 30% decrease in rainfall, a 22% decrease in atmospheric humidity and a substantial reduction of atmospheric CO2 levels (values representative for mountains in Kenya during the LGM). An expected increase of 250 m in the cloud-base height associated with a future 2 ∘ C global warming is likely to reduce forest extent by 50%–100%. Our results indicate that the satellite vegetation record is useful to estimate modern hydrological inputs into drier cloud forests (up to 2000 mm y −1 ) and that this information can be used to estimate the contribution of occult precipitation to altitudinal displacements of tropical montane cloud-forest species during the Quaternary. Highlights: Occult precipitation from clouds drifting through the forest is of equal magnitude as rainfall on Mt Marsabit. The decrease in cloud-base height during the largely dry LGM causes a net increase in Marsabit forest extent and greenness. Occult precipitation likely contributed to the downward shift of tropical cloud forest taxa to lower altitudes during the LGM. … (more)
- Is Part Of:
- Quaternary science reviews. Volume 218(2019)
- Journal:
- Quaternary science reviews
- Issue:
- Volume 218(2019)
- Issue Display:
- Volume 218, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 218
- Issue:
- 2019
- Issue Sort Value:
- 2019-0218-2019-0000
- Page Start:
- 34
- Page End:
- 48
- Publication Date:
- 2019-08-15
- Subjects:
- Climate change -- Tropical montane cloud forest -- Normalized difference vegetation index -- Occult precipitation -- Cloud-base height -- Last glacial maximum -- Data treatment -- Data analysis -- Vegetation dynamics -- East Africa
Geology, Stratigraphic -- Quaternary -- Periodicals
Stratigraphie -- Quaternaire -- Périodiques
551.79 - Journal URLs:
- http://www.sciencedirect.com/science/journal/02773791 ↗
http://www.elsevier.com/journals ↗
http://www.journals.elsevier.com/quaternary-science-reviews/ ↗ - DOI:
- 10.1016/j.quascirev.2019.06.016 ↗
- Languages:
- English
- ISSNs:
- 0277-3791
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 7210.220000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 11159.xml