Assessing the spatio-temporal variability of vegetation productivity in Africa: quantifying the relative roles of climate variability and human activities

被引:32
作者
Ugbaje, Sabastine U. [1 ]
Odeh, Inakwu O. A. [1 ]
Bishop, Thomas F. A. [1 ]
Li, Jianlong [2 ]
机构
[1] Univ Sydney, Fac Agr & Environm, Eveleigh, Australia
[2] Nanjing Univ, Global Change Res Inst, Sch Life Sci, Nanjing, Jiangsu, Peoples R China
关键词
NPP; trend analysis; vegetation dynamics; protected areas; Random Forest; NET PRIMARY PRODUCTION; DROUGHT-INDUCED REDUCTION; LAND DEGRADATION; QUANTITATIVE ASSESSMENT; ENVIRONMENTAL-CHANGE; WEST-AFRICA; TIME-SERIES; BASE-LINE; SAHEL; PRECIPITATION;
D O I
10.1080/17538947.2016.1265017
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
Quantitative attribution at the individual pixel level of the relative contributions of climate variability and human activities to vegetation productivity dynamics across Africa is generally lacking. This is because of the difficulty in establishing a baseline or potential vegetation against which the relative impacts of these factors can be assessed. This study addresses these gaps. First, annual potential net primary productivity (NPPP) for 2000-2014 was estimated for Africa using a model constructed from samples of NPP and environmental covariates from protected areas. Second, trends in NPPP, actual NPP (NPPA), and human-appropriated NPP (NPPH=NPPP - NPPA) were estimated and used in quantifying the relative contributions of climate and human activities to NPP dynamics. Over 2000-2014, NPP improvement was largely concentrated in equatorial and northern Africa, while subequatorial Africa exhibited the most NPP decline. Parts of Mali, Burkina Faso, and the central Africa region are associated with the greatest influence of climate-driven NPP improvement. Areas where humans dominated NPP decline include parts of Ethiopia and South Africa. Climate had a stronger role in driving NPP decline in subequatorial Africa. Nonetheless, further work is required to validate the results of this study with high-resolution imagery and field information.
引用
收藏
页码:879 / 900
页数:22
相关论文
共 68 条
[1]   An analysis of some diverse approaches to modelling terrestrial net primary productivity [J].
Adams, B ;
White, A ;
Lenton, TM .
ECOLOGICAL MODELLING, 2004, 177 (3-4) :353-391
[2]  
AfDB, 2010, AGR SECT STRAT 2010
[3]  
AfDB and WWF, 2015, AFR EC FUT
[4]  
[Anonymous], WORLD DAT PROT AR US
[5]   Identification of environmental anomaly hot spots in West Africa from time series of NDVI and rainfall [J].
Boschetti, Mirco ;
Nutini, Francesco ;
Brivio, Pietro Alessandro ;
Bartholome, Etienne ;
Stroppiana, Daniela ;
Hoscilo, Agata .
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2013, 78 :26-40
[6]   Ground- and satellite-based evidence of the biophysical mechanisms behind the greening Sahel [J].
Brandt, Martin ;
Mbow, Cheikh ;
Diouf, Abdoul A. ;
Verger, Aleixandre ;
Samimi, Cyrus ;
Fensholt, Rasmus .
GLOBAL CHANGE BIOLOGY, 2015, 21 (04) :1610-1620
[7]   Environmental change in time series - An interdisciplinary study in the Sahel of Mali and Senegal [J].
Brandt, Martin ;
Romankiewicz, Clemens ;
Spiekermann, Raphael ;
Samimi, Cyrus .
JOURNAL OF ARID ENVIRONMENTS, 2014, 105 :52-63
[8]   Random forests [J].
Breiman, L .
MACHINE LEARNING, 2001, 45 (01) :5-32
[9]   A modeling and spatio-temporal analysis framework for monitoring environmental change using NPP as an ecosystem indicator [J].
Crabtree, Robert ;
Potter, Christopher ;
Mullen, Randall ;
Sheldon, Jennifer ;
Huang, Shengli ;
Harmsen, Joshua ;
Rodman, Ann ;
Jean, Cathie .
REMOTE SENSING OF ENVIRONMENT, 2009, 113 (07) :1486-1496
[10]   Re-greening Sahel: 30 years of remote sensing data and field observations (Mali, Niger) [J].
Dardel, C. ;
Kergoat, L. ;
Hiernaux, P. ;
Mougin, E. ;
Grippa, M. ;
Tucker, C. J. .
REMOTE SENSING OF ENVIRONMENT, 2014, 140 :350-364