A systematic review of vegetation phenology in Africa

被引:83
作者
Adole, Tracy [1 ]
Dash, Jadu [1 ]
Atkinson, Peter M. [2 ]
机构
[1] Univ Southampton, Global Environm Change & Earth Observat Res Grp, Geog & Environm, Southampton SO9 5NH, Hants, England
[2] Univ Lancaster, Fac Sci & Technol, Lancaster LA1 4YW, England
关键词
Africa; Climate change; Phenology; Remote sensing; Vegetation; Vegetation indices; Satellite sensors; LAND-SURFACE PHENOLOGY; NDVI TIME-SERIES; CLIMATE-CHANGE; BIOMASS PRODUCTION; PLANT PHENOLOGY; CANOPY PHENOLOGY; GROWING-SEASON; NEAR-SURFACE; RAIN-FOREST; SATELLITE;
D O I
10.1016/j.ecoinf.2016.05.004
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
The study of vegetation phenology is important because it is a sensitive indicator of climate changes and it regulates carbon, energy and water fluxes between the land and atmosphere. Africa, which has 17% of the global forest cover, contributes significantly to the global carbon budget and has been identified as potentially highly vulnerable to climate change impacts. In spite of this, very little is known about vegetation phenology across Africa and the factors regulating vegetation growth and dynamics. Hence, this review aimed to provide a synthesis of studies of related Africa's vegetation phenology and classify them based on the methods and techniques used in order to identify major research gaps. Significant increases in the number of phenological studies in the last decade were observed, with over 70% of studies adopting a satellite-based remote sensing approach to monitor vegetation phenology. Whereas ground based studies that provide detailed characterisation of vegetation phenological development, occurred rarely in the continent. Similarly, less than 14% of satellite-based remote sensing studies evaluated vegetation phenology at the continental scale using coarse spatial resolution datasets. Even more evident was the lack of research focusing on the impacts of climate change on vegetation phenology. Consequently, given the importance and the uniqueness of both methods of phenological assessment, there is need for more ground-based studies to enable greater understanding of phenology at the species level. Likewise, finer spatial resolution satellite sensor data for regional phenological assessment is required, with a greater focus on the relationship between climate change and vegetation phenological changes. This would contribute greatly to debates over climate change impacts and, most importantly, climate change mitigation strategies. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:117 / 128
页数:12
相关论文
共 106 条
[1]   SPOT-VEGETATION-15 years of success: what's next? [J].
Aitkenhead, Matt .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2014, 35 (07) :2397-2401
[2]  
Amram O., 1994, P IGARSS 94 1994 IEE, V1, P9
[3]  
[Anonymous], 2010, GLOBAL FOREST RESOUR
[4]   Inter-comparison of four models for smoothing satellite sensor time-series data to estimate vegetation phenology [J].
Atkinson, Peter M. ;
Jeganathan, C. ;
Dash, Jadu ;
Atzberger, Clement .
REMOTE SENSING OF ENVIRONMENT, 2012, 123 :400-417
[5]  
Barros V, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, pIX
[6]   Mapping of Central Africa Forested Wetlands Using Remote Sensing [J].
Betbeder, Julie ;
Gond, Valery ;
Frappart, Frederic ;
Baghdadi, Nicolas N. ;
Briant, Gael ;
Bartholome, Etienne .
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2014, 7 (02) :531-542
[7]   Analysis of vegetation seasonality in Sahelian environments using MODIS LAI, in association with land cover and rainfall [J].
Bobee, C. ;
Ottle, C. ;
Maignan, E. ;
de Noblet-Ducoudre, N. ;
Maugis, P. ;
Lezine, A. -M. ;
Ndiaye, M. .
JOURNAL OF ARID ENVIRONMENTS, 2012, 84 :38-50
[8]   Phenology of vegetation in Southern England from Envisat MERIS terrestrial chlorophyll index (MTCI) data [J].
Boyd, Doreen S. ;
Almond, Samuel ;
Dash, Jadunandan ;
Curran, Paul J. ;
Hill, Ross A. .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2011, 32 (23) :8421-8447
[9]   Global phenological response to climate change in crop areas using satellite remote sensing of vegetation, humidity and temperature over 26 years [J].
Brown, M. E. ;
de Beurs, K. M. ;
Marshall, M. .
REMOTE SENSING OF ENVIRONMENT, 2012, 126 :174-183
[10]   The response of African land surface phenology to large scale climate oscillations [J].
Brown, Molly E. ;
de Beurs, Kirsten ;
Vrieling, Anton .
REMOTE SENSING OF ENVIRONMENT, 2010, 114 (10) :2286-2296