1
|
Venancio LP, Filgueiras R, Mantovani EC, do Amaral CH, da Cunha FF, Dos Santos Silva FC, Althoff D, Dos Santos RA, Cavatte PC. Impact of drought associated with high temperatures on Coffea canephora plantations: a case study in Espírito Santo State, Brazil. Sci Rep 2020; 10:19719. [PMID: 33184345 PMCID: PMC7665182 DOI: 10.1038/s41598-020-76713-y] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Accepted: 10/27/2020] [Indexed: 02/08/2023] Open
Abstract
Droughts are major natural disasters that affect many parts of the world all years and recently affected one of the major conilon coffee-producing regions of the world in state of Espírito Santo, which caused a huge crisis in the sector. Therefore, the objective of this study was to conduct an analysis with technical-scientific basis of the real impact of drought associated with high temperatures and irradiances on the conilon coffee (Coffea canephora Pierre ex Froehner) plantations located in the north, northwest, and northeast regions of the state of Espírito Santo, Brazil. Data from 2010 to 2016 of rainfall, air temperature, production, yield, planted area and surface remote sensing were obtained from different sources, statistically analyzed, and correlated. The 2015/2016 season was the most affected by the drought and high temperatures (mean annual above 26 °C) because, in addition to the adverse weather conditions, coffee plants were already damaged by the climatic conditions of the previous season. The increase in air temperature has higher impact (negative) on production than the decrease in annual precipitation. The average annual air temperatures in the two harvest seasons that stood out for the lowest yields (i.e. 2012/2013 and 2015/2016) were approximately 1 °C higher than in the previous seasons. In addition, in the 2015/2016 season, the average annual air temperature was the highest in the entire series. The spatial and temporal distribution of Enhanced Vegetation Index values enabled the detection and perception of droughts in the conilon coffee-producing regions of Espírito Santo. The rainfall volume accumulated in the periods from September to December and from April to August are the ones that most affect coffee yield. The conilon coffee plantations in these regions are susceptible to new climate extremes, as they continue to be managed under irrigation and full sun. The adoption of agroforestry systems and construction of small reservoirs can be useful to alleviate these climate effects, reducing the risk of coffee production losses and contributing to the sustainability of crops in Espírito Santo.
Collapse
Affiliation(s)
- Luan Peroni Venancio
- Agricultural Engineering Department, Federal University of Viçosa (UFV), Viçosa, 36570-900, Brazil.
| | - Roberto Filgueiras
- Agricultural Engineering Department, Federal University of Viçosa (UFV), Viçosa, 36570-900, Brazil
| | | | - Cibele Hummel do Amaral
- Forest Engineering Department, Federal University of Viçosa (UFV), Viçosa, 36570-900, Brazil
| | - Fernando França da Cunha
- Agricultural Engineering Department, Federal University of Viçosa (UFV), Viçosa, 36570-900, Brazil
| | | | - Daniel Althoff
- Agricultural Engineering Department, Federal University of Viçosa (UFV), Viçosa, 36570-900, Brazil
| | - Robson Argolo Dos Santos
- Agricultural Engineering Department, Federal University of Viçosa (UFV), Viçosa, 36570-900, Brazil
| | - Paulo Cezar Cavatte
- Biology Department, Federal University of Espírito Santo (UFES), Alegre, 29500-000, Brazil
| |
Collapse
|
2
|
Zhou Z, Guo B, Su Y, Chen Z, Wang J. Multidimensional evaluation of the TRMM 3B43V7 satellite-based precipitation product in mainland China from 1998-2016. PeerJ 2020; 8:e8615. [PMID: 32117637 PMCID: PMC7036276 DOI: 10.7717/peerj.8615] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2019] [Accepted: 01/21/2020] [Indexed: 11/20/2022] Open
Abstract
This study evaluates the applicability of the Tropical Rain Measurement Mission (TRMM) 3B43V7 product for use throughout mainland China. Four statistical metrics were used based on the observations made by rain gauges; these metrics were the correlation coefficient (R), the relative bias (RB), the root mean square error (RMSE) and Nash-Sutcliffe efficiency (NSE), and they were chosen to evaluate the performance of the 3B43V7 product at temporal and spatial scales. The results revealed that 3B43V7 performed satisfactorily on all timescales (R > 0.9 and NSE > 0.86); however, it overestimated the results when compared with the rain gauge observations in certain circumstances (RB = 9.7%). Monthly estimates from 3B43V7 were in agreement with rain gauge observations. 3B43V7 can effectively capture the seasonal patterns of precipitation characteristics over mainland China. However, 3B43V7 tends to register a greater overestimation of precipitation in the winter (RB = 14%) than in other seasons while showing greater consistency with the observations made by rain gauges during dry periods. The 3B43V7 product performs well in the eastern part of mainland China, while its performance is poor in the western part of mainland China. In terms of altitude, 3B43V7 performs satisfactorily in areas with moderate to low altitudes (when altitude < 3,500 m, R > 0.9, NSE > 0.8 and RB < 10.2%) but RB values increase with altitude. Overall, 3B43V7 had a favorable performance throughout mainland China.
Collapse
Affiliation(s)
- Ziteng Zhou
- Key Laboratory of Geomatics and Digital Technology of Shandong Province, Shandong University of Science and Technology, Qingdao, Shandong, China.,College of Geomatics, Shandong University of Science and Technology, Qingdao, Shandong, China
| | - Bin Guo
- Key Laboratory of Geomatics and Digital Technology of Shandong Province, Shandong University of Science and Technology, Qingdao, Shandong, China.,College of Geomatics, Shandong University of Science and Technology, Qingdao, Shandong, China
| | - Youzhe Su
- Key Laboratory of Geomatics and Digital Technology of Shandong Province, Shandong University of Science and Technology, Qingdao, Shandong, China.,College of Geomatics, Shandong University of Science and Technology, Qingdao, Shandong, China
| | - Zhongsheng Chen
- School of Land and Resources, China West Normal University, Nanchong, Sichuan, China
| | - Juan Wang
- College of Science and Information, Qingdao Agricultural University, Qingdao, Shandong, China
| |
Collapse
|
3
|
Comparing Multiple Precipitation Products against In-Situ Observations over Different Climate Regions of Pakistan. REMOTE SENSING 2019. [DOI: 10.3390/rs11060628] [Citation(s) in RCA: 48] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Various state-of-the-art gridded satellite precipitation products (GPPs) have been derived from remote sensing and reanalysis data and are widely used in hydrological studies. An assessment of these GPPs against in-situ observations is necessary to determine their respective strengths and uncertainties. GPPs developed from satellite observations as a primary source were compared to in-situ observations, namely the Climate Hazard group Infrared Precipitation with Stations (CHIRPS), Multi-Source Weighted-Ensemble Precipitation (MSWEP), Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks-Climate Data Record (PERSIANN-CDR) and Tropical Rainfall Measuring Mission (TRMM) multi-satellite precipitation analysis (TMPA). These products were compared to in-situ data from 51 stations, spanning 1998–2016, across Pakistan on daily, monthly, annual and interannual time scales. Spatiotemporal climatology was well captured by all products, with more precipitation in the north eastern parts during the monsoon months and vice-versa. Daily precipitation with amount larger than 10 mm showed significant (95%, Kolmogorov-Smirnov test) agreement with the in-situ data, especially TMPA, followed by CHIRPS and MSWEP. At monthly scales, there were significant correlations (R) between the GPPs and in-situ records, suggesting similar dynamics; however, statistical metrics suggested that the performance of these products varies from north towards south. Temporal agreement on an interannual scale was higher in the central and southern parts which followed precipitation seasonality. TMPA performed the best, followed in order by CHIRPS, MSWEP and PERSIANN-CDR.
Collapse
|
4
|
Evaluation of TRMM 3B43 data over the Yangtze River Delta of China. Sci Rep 2018; 8:5290. [PMID: 29593224 PMCID: PMC5871841 DOI: 10.1038/s41598-018-23603-z] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2017] [Accepted: 03/14/2018] [Indexed: 11/09/2022] Open
Abstract
Tropical Rainfall Measuring Mission (TRMM) 3B43 rainfall products during the period of 1998~2016 are evaluated via monthly and yearly precipitation data from 56 observational stations over the Yangtze River Delta (YRD). The results are as follows: (1) annual rainfall increases gradually from northwest to southwest and monthly precipitation surges sharply, owing to rainband's abrupt pushing north caused by the westward and northward extension of Western Pacific Subtropical High, to 200 mm/month in July; (2) only seized by the TRMM, the developing process of ChunAn precipitation center synchronizes with monthly precipitation series that may recycle throughout the year; (3) 3B43 data are inclined to overestimate precipitation but performs the best (relative bias ranging within -10~10%) at most parts of the YRD zone; and its correlation coefficient with observation is 0.88 in annual scale; for monthly scale, CC peaks in March (0.96) and reaches the bottom (0.79) in August; (4) no evident connection between CC and elevation is found in the 3B43 annual rainfall products which estimate precipitation better upon urban land. This paper is of importance in understanding the impacts of complex topography and landcovers on the precipitation assessment in a river delta scale.
Collapse
|
5
|
A Rainfall Model Based on a Geographically Weighted Regression Algorithm for Rainfall Estimations over the Arid Qaidam Basin in China. REMOTE SENSING 2016. [DOI: 10.3390/rs8040311] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
|
6
|
Inter-Comparison of High-Resolution Satellite Precipitation Products over Central Asia. REMOTE SENSING 2015. [DOI: 10.3390/rs70607181] [Citation(s) in RCA: 119] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
|