000			03294nab|a22003497a|4500
001			64519
003			MX-TxCIM
005			20230815161012.0
008			200503s2021||||ne |||p|op||||00||0|eng|d
022			_a0168-1923
024	8		_ahttps://doi.org/10.1016/j.agrformet.2021.108697
040			_aMX-TxCIM
041			_aeng
100	1		_aAdeme, D. _913713
245	1	0	_aAnalysis of agriculturally relevant rainfall characteristics in a tropical highland region : _can agroecosystem perspective
260			_aAmsterdam (Netherlands) : _bElsevier, _c2021.
500			_aPeer review
520			_aAnalysis of Rainfall onset date (OD), cessation date (CD), and length of growing period (LGP) for specific sites in highly dissected topography and highly variable climate may not provide actionable information for crop production planning. In tropical highland regions information on these parameters is scant at a resolution relevant for targeted management. This study examined recent (1981-2016) OD, CD, and LGP variability and trends for the main rainy season in different agroecosystems (AESs) in the northwestern Ethiopian Highlands. Onset criteria were derived from surveys, rainfall data, and previous literature whereas cessation criteria were set from the soil water holding capacity (WHC), daily reference evapotranspiration (ETo), and daily rainfall in each site. Dry spells (DS) were analyzed for the small rainy season in higher elevation AESs where the season is relevant for potato production. All analyses were performed using site specific data grouped by agroecosystem (AES), a unit that has similar climate, soil, crop, and farm management for better agricultural decisions. Results show high inter-annual variability of OD and CD, and LGP exhibited a significant trend in some AES and greater variability in higher elevation AES. Generally, trend analysis results showed early onset and cessation of rainfall. Significant increasing trends and variabilities in DS and OD may significantly affect crop production and thus AES specific crop production calendar should be revised to minimize crop failure. The analysis also confirmed that farmers perception is consistent with meteorological analysis. The results emphasize the importance of AES-based improved seasonal weather forecasts and tailored climate information services to guide farm decisions and improve management of climate variability by smallholder farmers. It also concluded that AES level analysis can better provide actionable information for decision makers and growers than site specific and scattered studies as mosaic results are reported between sites grouped in the same agroecosystem.
526			_aCCAFS
546			_aText in English
650		7	_aAgroecosystems _2AGROVOC _96058
650		7	_aForecasting _2AGROVOC _92701
650		7	_aGrowth period _2AGROVOC _96142
650		7	_aRain _2AGROVOC _91234
700	1		_aZaitchik, B.F. _924209
700	1		_aFantaye, K.T. _gSocioeconomics Program _gSustainable Agrifood Systems _8INT3458 _9956
700	1		_aBelay Simane _9427
700	1		_aAlemayehu, G. _913715
700	1		_aAdgo, E. _913716
773	0		_tAgricultural and Forest Meteorology _gv. 311, art. 108697 _dAmsterdam (Netherlands) : Elsevier, 2021. _x0168-1923 _wu444454
942			_cJA _n0 _2ddc
999			_c64519 _d64511