scholarly journals Climate Change Trends in Colombia: A Case Study in Facatativá, Cundinamarca

2021 ◽  
Vol 16 (3) ◽  
pp. 535-542
Author(s):  
Daniel Armando Robledo-Buitrago ◽  
Manuel Francisco Polanco-Puerta ◽  
Miguel De Luque-Villa ◽  
Mauricio Mesa-Caro ◽  
Carlos Alberto Calderón-Ricardo
Keyword(s):  
Climate Change ◽  
Climate Variables ◽  
Natural Phenomena ◽  
The West ◽  
Average Temperature ◽  
Long Period ◽  
Temperature And Precipitation ◽  
Increasing Trend ◽  
Using Data

Climate change modifies the average climate behavior over a long period, generated by natural phenomena or anthropogenic causes. This change has an important impact on climate variables, such as temperature and precipitation, worldwide but also has various effects on the local scale. The purpose of this research was to determine climate behavior and the magnitude of climate change in the last 30 years in the municipality of Facatativá, Cundinamarca. Precipitation and temperature were analyzed using data from climatological stations around Facatativá, which belong to the Instituto de Hidrología, Meteorología y Estudios Ambientales (IDEAM) and the Corporación Autónoma Regional de Cundinamarca. These data provided the average temperature in this municipality, between 9.2℃ and 14.0℃, with an increasing trend between 0.00℃/yr to the west and 0.03℃/yr to the east of the municipality. The Precipitation ranged between 781 mm/yr and 1200 mm/yr, with an increasing trend of between 3.0 mm/yr in the west and 12.0 mm/yr in the northwest.

scholarly journals Climate change and river discharge: case study Kolubara River, Beli brod hydrological gauge

2012 ◽  
Vol 92 (1) ◽  
pp. 123-134 ◽  
Author(s):  
Dragan Buric ◽  
Gorica Stanojevic ◽  
Jelena Lukovic ◽  
Ljiljana Gavrilovic ◽  
Nenad Zivkovic
Keyword(s):  
Climate Change ◽  
Greenhouse Effect ◽  
River Discharge ◽  
Anthropogenic Impact ◽  
River Flow ◽  
Natural Phenomena ◽  
Temperature And Precipitation ◽  
Flow Fluctuations ◽  
Natural Factors

This paper analyzes climate change and its impact on river discharge. This issue is very well studied worldwide, but in Serbia so far has been poorly studied. The first part of the paper presents the views of two different opinions, those who favored anthropogenic impact on the increasing greenhouse effect, and those who say that this is due to natural factors. Most attention is paid to changes in temperature and precipitation patterns. Classification by the group of those who favor the promotion of natural phenomena is demonstrated through the analysis of river flow fluctuations in the hydrological gauge Beli brod located on Kolubara River.

Comparing respondents who passed versus failed an Instructional Manipulation Check: A case study about support for climate change policies

2021 ◽  
Vol 63 (4) ◽  
pp. 408-415
Author(s):  
Maria Rubio Juan ◽  
Melanie Revilla
Keyword(s):  
Climate Change ◽  
External Validity ◽  
Structural Equation ◽  
Online Survey ◽  
Equation Modeling ◽  
Manipulation Check ◽  
Climate Change Policies ◽  
Instructional Manipulation ◽  
Using Data

The presence of satisficers among survey respondents threatens survey data quality. To identify such respondents, Oppenheimer et al. developed the Instructional Manipulation Check (IMC), which has been used as a tool to exclude observations from the analyses. However, this practice has raised concerns regarding its effects on the external validity and the substantive conclusions of studies excluding respondents who fail an IMC. Thus, more research on the differences between respondents who pass versus fail an IMC regarding sociodemographic and attitudinal variables is needed. This study compares respondents who passed versus failed an IMC both for descriptive and causal analyses based on structural equation modeling (SEM) using data from an online survey implemented in Spain in 2019. These data were analyzed by Rubio Juan and Revilla without taking into account the results of the IMC. We find that those who passed the IMC do differ significantly from those who failed for two sociodemographic and five attitudinal variables, out of 18 variables compared. Moreover, in terms of substantive conclusions, differences between those who passed and failed the IMC vary depending on the specific variables under study.

scholarly journals Effects of climatic factors on the net primary productivity in the source region of Yangtze River, China

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Zhe Yuan ◽  
Yongqiang Wang ◽  
Jijun Xu ◽  
Zhiguang Wu
Keyword(s):  
Climate Change ◽  
Primary Productivity ◽  
Yangtze River ◽  
Net Primary Productivity ◽  
Climatic Factors ◽  
Source Region ◽  
Primary Reason ◽  
Vegetation Types ◽  
Temperature And Precipitation ◽  
Increasing Trend

AbstractThe ecosystem of the Source Region of Yangtze River (SRYR) is highly susceptible to climate change. In this study, the spatial–temporal variation of NPP from 2000 to 2014 was analyzed, using outputs of Carnegie–Ames–Stanford Approach model. Then the correlation characteristics of NPP and climatic factors were evaluated. The results indicate that: (1) The average NPP in the SRYR is 100.0 gC/m2 from 2000 to 2014, and it shows an increasing trend from northwest to southeast. The responses of NPP to altitude varied among the regions with the altitude below 3500 m, between 3500 to 4500 m and above 4500 m, which could be attributed to the altitude associated variations of climatic factors and vegetation types; (2) The total NPP of SRYR increased by 0.18 TgC per year in the context of the warmer and wetter climate during 2000–2014. The NPP was significantly and positively correlated with annual temperature and precipitation at interannual time scales. Temperature in February, March, May and September make greater contribution to NPP than that in other months. And precipitation in July played a more crucial role in influencing NPP than that in other months; (3) Climatic factors caused the NPP to increase in most of the SRYR. Impacts of human activities were concentrated mainly in downstream region and is the primary reason for declines in NPP.

Signals of Climate Change and Spatio-temporal Analysis of Climate Extremes in the Homogeneous Climatic Zones of Pakistan During 1962-2019

2021 ◽  
Author(s):  
Firdos Khan ◽  
Shaukat Ali ◽  
Christoph Mayer ◽  
Hamd Ullah ◽  
Sher Muhammad
Keyword(s):  
Climate Change ◽  
Climate Extremes ◽  
Heavy Precipitation ◽  
Temporal Analysis ◽  
Significance Level ◽  
Temperature And Precipitation ◽  
Increasing Trend ◽  
North Pakistan ◽  
Spatio Temporal ◽  
Increasing Temperature

Abstract This study investigates contemporary climate change and spatio-temporal analysis of climate extremes in Pakistan (divided into five homogenous climate zones) using observed data, categorized between 1962–1990 and 1991–2019. The results show that on the average, the changes in temperature and precipitation are significant at 5 % significance level throughout Pakistan in most of the seasons. The spatio-temporal trend analysis of consecutive dry days (CDD) shows an increasing trend during 1991–2019 except in zone 4 indicating throughout decreasing trend. PRCPTOT (annual total wet-day precipitation), R10 (number of heavy precipitation days), R20 (number of very heavy precipitation days) and R25mm (extremely heavy precipitation days) are significantly decreasing (increasing) during 1962–1990 (1991–2019) in North Pakistan. Summer days (SU25) increased across the country, except in zone 4 with a decrease. TX10p (Cool days) decreased across the country except an increase in zone 1 and zone 2 during 1962–1990. TX90p (Warm days) has an increasing trend during 1991–2019 except zone 5 and decreasing trend during 1962–1990 except zone 2 and 5. The Mann-Kendal test indicates increasing precipitation (DJF) and decreasing maximum and minimum temperature (JJA) in the Karakoram region during 1962–1990. The decadal analysis suggests decreasing precipitation during 1991–2019 and increasing temperature (maximum and minimum) during 2010–2019 which is in line with the recently confirmed slight mass loss of glaciers against Karakoram Anomaly.

From climate change perception to bottom-up adaptation initiatives: a case study from banana producers of Upper Huallaga basin, Peru

2021 ◽  
Author(s):  
Livia Serrao ◽  
Lorenzo Giovannini ◽  
Luz Elita Balcazar Terrones ◽  
Hugo Alfredo Huamaní Yupanqui ◽  
Dino Zardi
Keyword(s):  
Climate Change ◽  
Mitigation Strategies ◽  
Annual Rainfall ◽  
Banana Plant ◽  
Adaptation Measures ◽  
Clear Trend ◽  
Bottom Up ◽  
Temperature And Precipitation ◽  
Weather Events

<p>Climatic characteristics and weather events have always conditioned the success of a harvest. Climate change and the associated increase in intense weather phenomena in recent years are making it clearer than ever that agriculture is among the sectors most at risk. Although problems in agriculture are found all over the world, the most vulnerable contexts are those where agriculture is low-tech and rainfed. Here, adaptation strategies are even more urgent to secure the food production. Assuming that the awareness of climate change is the basis for the adoption of adaptation and mitigation strategies, it is interesting to correlate the degree of perception of local inhabitants with their willingness to adopt bottom-up initiatives.</p><p>The current study focuses on banana producers’ perceptions of climate change in a tropical valley, and the initiatives that farmers adopt to cope with recent intense weather events. The banana plant (Musa Musacae) grows in tropical climates with annual rainfall around 2000 mm and average temperatures around 27°C. The species’ threadlike root system and the weak pseudostem make it particularly vulnerable to wind gusts, which, at speeds higher than 15 m/s, can bend and knock over entire plantations. The increased frequency of convective thunderstorms observed in connection with climate change has made downburst phenomena more frequent and caused greater crop loss.</p><p>The aim of the present work is to estimate the correlation between banana producers’ perceptions of climate change and their bottom-up initiatives for adaptation. To achieve this goal, the case study of the Upper Huallaga valley, which is located in the Peruvian Amazon region as shown in Figure 1, is analysed. The work was carried out at two levels: (i) we interviewed 73 banana producers in the valley, (ii) we estimated the alterations and trends in temperature and precipitation recorded by the only three available meteorological stations within the valley. Finally, we compared the two databases to evaluate if the perception of the population was confirmed by the data. Most of the surveyed population observed an increase in temperature, consistent with the results of the data analysis, and an increase in precipitation, which was not consistent with observations as these showed a cyclic variation without a clear trend. With regards to the adaptation measures, it was observed that, although a clear majority of the sample surveyed (around 82%) agreed with the existence of climate change, only 46% of them had taken any initiative to counteract adverse events in some way. However, it is important to note that the strategies implemented were all devised and implemented by the farmers themselves. Funding and coordinating the dissemination of these adaptation practices by the local authority through a rural development plan could certainly strengthen the population’s effort.</p><p><img src="https://contentmanager.copernicus.org/fileStorageProxy.php?f=gnp.34e8e7df2cff59382630161/sdaolpUECMynit/12UGE&app=m&a=0&c=59f620ca81f3a3bb7bb44139d499513c&ct=x&pn=gnp.elif&d=1" alt=""></p><p><em>Figure 1, On the left side: the Upper Huallaga basin. </em><em>On the right side: the study area</em></p>

scholarly journals Climatic Trends in Different Bioclimatic Zones in the Chitwan Annapurna Landscape, Nepal

Climate ◽  
2020 ◽  
Vol 8 (11) ◽  
pp. 136
Author(s):  
Dol Raj Luitel ◽  
Pramod K. Jha ◽  
Mohan Siwakoti ◽  
Madan Lall Shrestha ◽  
Rangaswamy Munniappan
Keyword(s):  
Climate Change ◽  
Time Series Data ◽  
Lapse Rate ◽  
Series Data ◽  
Average Temperature ◽  
Temperature And Precipitation ◽  
Average Annual Temperature ◽  
Bioclimatic Zone ◽  
The Impact ◽  
Precipitation Trends

The Chitwan Annapurna Landscape (CHAL) is the central part of the Himalayas and covers all bioclimatic zones with major endemism of flora, unique agro-biodiversity, environmental, cultural and socio-economic importance. Not much is known about temperature and precipitation trends along the different bioclimatic zones nor how changes in these parameters might impact the whole natural process, including biodiversity and ecosystems, in the CHAL. Analysis of daily temperature and precipitation time series data (1970–2019) was carried out in seven bioclimatic zones extending from lowland Terai to the higher Himalayas. The non-parametric Mann-Kendall test was applied to determine the trends, which were quantified by Sen’s slope. Annual and decade interval average temperature, precipitation trends, and lapse rate were analyzed in each bioclimatic zone. In the seven bioclimatic zones, precipitation showed a mixed pattern of decreasing and increasing trends (four bioclimatic zones showed a decreasing and three bioclimatic zones an increasing trend). Precipitation did not show any particular trend at decade intervals but the pattern of rainfall decreases after 2000AD. The average annual temperature at different bioclimatic zones clearly indicates that temperature at higher elevations is increasing significantly more than at lower elevations. In lower tropical bioclimatic zone (LTBZ), upper tropical bioclimatic zone (UTBZ), lower subtropical bioclimatic zone (LSBZ), upper subtropical bioclimatic zone (USBZ), and temperate bioclimatic zone (TBZ), the average temperature increased by 0.022, 0.030, 0.036, 0.042 and 0.051 °C/year, respectively. The decade level temperature scenario revealed that the hottest decade was from 1999–2009 and average decade level increases of temperature at different bioclimatic zones ranges from 0.2 to 0.27 °C /decade. The average temperature and precipitation was found clearly different from one bioclimatic zone to other. This is the first time that bioclimatic zone level precipitation and temperature trends have been analyzed for the CHAL. The rate of additional temperature rise at higher altitudes compared to lower elevations meets the requirements to mitigate climate change in different bioclimatic zones in a different ways. This information would be fundamental to safeguarding vulnerable communities, ecosystem and relevant climate-sensitive sectors from the impact of climate change through formulation of sector-wise climate change adaptation strategies and improving the livelihood of rural communities.

scholarly journals Assessment of Climate Change Vulnerability at the Local Level: A Case Study on the Dniester River Basin (Moldova)

2013 ◽  
Vol 2013 ◽  
pp. 1-13 ◽  
Author(s):  
Roman Corobov ◽  
Igor Sîrodoev ◽  
Sonja Koeppel ◽  
Nickolai Denisov ◽  
Ghennadi Sîrodoev
Keyword(s):  
Climate Change ◽  
Adaptive Capacity ◽  
Local Level ◽  
Housing Conditions ◽  
Socioeconomic Characteristics ◽  
Temperature And Precipitation ◽  
Sensitivity Assessment ◽  
Vulnerability To Climate Change ◽  
Relative Vulnerability

Vulnerability to climate change of the Moldavian part of the Dniester river was assessed as the function of exposure, sensitivity, and adaptive capacity of its basin’s natural and socioeconomic systems. As a spatial “scale” of the assessment, Moldova’s administrative-territorial units (ATUs) were selected. The exposure assessment was based on the climatic analysis of baseline (1971–2000) temperature and precipitation and projections of their changes in 2021–2050, separately for cold and warm periods. The sensitivity assessment included physiographical and socioeconomic characteristics, described by a set of specific indicators. The adaptive capacity was expressed by general economic and agricultural indicators, taking into consideration the medical provision and housing conditions. Through a ranking approach, the relative vulnerability of each ATU was calculated by summing its sensitivity and adaptive capacity ranks; the latter were obtained as combinations of their primary indicator ranks, arranged in an increasing and decreasing order, respectively. Due to lack of sound knowledge on these components' importance in overall assessment of vulnerability, their weights were taken as conventionally equal. Mapping of vulnerability revealed that ATUs neighboring to municipalities are the most vulnerable and need special attention in climate change adaptation. The basin’s “hotspots” were discussed with public participation.

scholarly journals Some Concerns when Using Data from the Cooperative Weather Station Networks: A Nebraska Case Study

2005 ◽  
Vol 22 (5) ◽  
pp. 592-602 ◽  
Author(s):  
Hong Wu ◽  
Kenneth G. Hubbard ◽  
Jinsheng You
Keyword(s):  
Mean Absolute Error ◽  
Absolute Error ◽  
Daily Temperature ◽  
Weather Data ◽  
Observation Error ◽  
Climate Data ◽  
Temperature And Precipitation ◽  
Using Data ◽  
Observation Times

Abstract In this study, daily temperature and precipitation amounts that are observed by the Cooperative Observer Program (COOP) were compared among geographically close stations. Hourly observations from nearby Automatic Weather Data Network (AWDN) stations were utilized to resolve the discrepancies between the observations during the same period. The statistics of maximum differences in temperature and precipitation between COOP stations were summarized. In addition, the quantitative measures of the deviations between COOP and AWDN stations were expressed by root-mean-square error, mean absolute error, and an index of agreement. The results indicated that significant discrepancies exist among the daily observations between some paired stations because of varying observation times, observation error, sensor error, and differences in microclimate exposure. The purpose of this note is to bring attention to the problem and offer guidance on the use of daily observations in the comparison and creation of weather maps. In addition, this study demonstrates approaches for identifying the sources of the discrepancies in daily temperature and precipitation observations. The findings will be useful in the quality assurance (QA) procedures of climate data.

scholarly journals Sensitivitas Produksi Padi Terhadap Perubahan Iklim Di Indonesia Tahun 1974-2015

Agro Ekonomi ◽  
2016 ◽  
Vol 27 (2) ◽  
pp. 183 ◽  
Author(s):  
Yanti Nurhayanti ◽  
Moko Nugroho
Keyword(s):  
Climate Change ◽  
Turning Point ◽  
Random Effect ◽  
Estimation Method ◽  
Secondary Data ◽  
Maximum Temperature ◽  
Average Temperature ◽  
Simple Simulation ◽  
Using Data ◽  
The Impact

The occurrence of climate change disrupts the productivity of paddy in Indonesia. Disruption of the paddy’s production has an impact on the availability of foodstuffs, considering paddy as staple food Indonesia society. This study aims to analyze the impact of climate change on productivity of paddy in the central acreage of paddy in period 1974-2015 by using four different climate variables. The data used are secondary data collected from Agency of Central for Statistics (BPS), Ministry of Agriculture, and National Oceanic and Atmospheric Administration (NOAA). Estimation method using data panels with Random Effect models (REM). The results showed the productivity of paddy in Indonesia are more sensitive to changes in rainfall and maximum temperature (Tmax) compared to the average temperature (Tave) and the minimum temperature (Tmin). Increased rainfall and Tmax positively impact the productivity of paddy until a specific turning point, then after that point will give the opposite impact. As for the turning point for the precipitation of 10,177 Inc./year, while Tmax on 31,35 °C. Simple simulation results demonstrate the increase in rainfall in the upper turning point of 1 % will reduce the productivity of paddy amounted 0,00796 % ceteris peribus. While the maximum temperature rise above the turning point of 1 % will reduce the productivity of paddy as much as 0,09039% ceteris peribus.

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