scholarly journals ANALISIS KEBUTUHAN KAPASITAS TAMPUNGAN EMBUNG DANAU ASAM KABUPATEN KOTAWARINGIN BARAT

2021 ◽  
Vol 17 (2) ◽  
pp. 83-94
Author(s):  
Asril Zevri
Keyword(s):  
Climate Change ◽  
Growth Rate ◽  
Population Growth ◽  
Water Demand ◽  
Catchment Area ◽  
Population Growth Rate ◽  
Storage Capacity ◽  
Water Storage ◽  
Raw Water ◽  
The West

This study aims to analyze the requirement for the storage capacity of Danau Asam Reservoir as one of the solutions in increasing the availability of water to meet the needs of raw water due to population growth and climate change which is quite extreme. The study was conducted in the Danau Asam Reservoir with source of water from two watersheds that flow into the reservoir, namely the Lopo River Basin with a catchment area of 11.81 Km2 and Kamat Bay with a catchment area of 12.42 Km2 in Kotawaringin Lama District in the West Kotawaringin Regency. The method used is a quantitative approach based on a simulation of the water balance between the inflow and outflow. The inflow parameter is calculated based on 90% probability reliable discharge using the FJ Mock method in two watersheds and the outflow parameter is based on the raw water demand discharge which is calculated based on the population growth rate. The result of the research indicate that the capacity of the Danau Asam Reservoir is 391,842.72 m3 to meet the raw water needs in Kotawaringin Lama District with a population of 35397 people.Keywords: Drought, Raw Water, Storage, Kotawaringin Barat

scholarly journals Adaptation to Climate Change in Preindustrial Iceland

2012 ◽  
Vol 102 (3) ◽  
pp. 250-255 ◽  
Author(s):  
Matthew A Turner ◽  
Jeffrey S Rosenthal ◽  
Jian Chen ◽  
Chunyan Hao
Keyword(s):  
Climate Change ◽  
Growth Rate ◽  
Population Growth ◽  
19Th Century ◽  
Population Growth Rate ◽  
Annual Change ◽  
Adaptation To Climate Change ◽  
Temperature Changes ◽  
Population Growth Rates ◽  
Short Run

We investigate the effect of climate change on population growth in 18th and 19th century Iceland. We find that annual temperature changes help determine the population growth rate in pre-industrial Iceland: a year 1 degree Celsius cooler than average drives down population growth rates by 1.14%. We also find that 18th and 19th century Icelanders adapt to prolonged changes in climate after 20 years. These adaptations reduce the short run effect of annual change in temperature by about 60%. Finally, a 1 degree Celsius sustained decrease in temperature decreases the steady state population by 10% to 26%.

scholarly journals Population consequences of climate change through effects on functional traits of lentic brown trout in the sub-Arctic

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Kim Magnus Bærum ◽  
Anders G. Finstad ◽  
Eva Marita Ulvan ◽  
Thrond O. Haugen
Keyword(s):  
Climate Change ◽  
Growth Rate ◽  
Population Growth ◽  
Functional Traits ◽  
Brown Trout ◽  
Population Growth Rate ◽  
Population Level ◽  
First Year ◽  
Summer Temperatures ◽  
Size At Age

AbstractClimate-induced plasticity in functional traits has received recent attention due to the immense importance phenotypic variation plays in population level responses. Here, we explore the effect of different climate-change scenarios on lentic populations of a freshwater ectotherm, the brown trout (Salmo trutta L.), through climate effects on functional traits. We first parameterize models of climate variables on growth, spawning probability and fecundity. The models are utilized to inform a dynamic age-structured projection matrix, enabling long-term population viability projections under climate and population density variation. Ambient temperature and winter conditions had a substantial effect on population growth rate. In general, warmer summer temperatures resulted in faster growth rates for young fish but ended in smaller size at age as fish got older. Increasing summer temperatures also induced maturation at younger age and smaller size. In addition, we found effects of first-year growth on later growth trajectories for a fish, indicating that environmental conditions experienced the first year will also influence size at age later in life. At the population level, increasing temperatures average (up to 4 °C increase in areas with mean summer temperature at approximately 12 °C) resulted in a positive effect on population growth rate (i.e. smaller but more fish) during climate simulations including increasing and more variable temperatures.

scholarly journals Is Lahore's urban system ready to sustain climate change? The case in Pakistan

2020 ◽  
Vol 2 (2) ◽  
pp. 22-32
Author(s):  
Muhammad Shafaat Nawaz ◽  
Saqlain Akbar
Keyword(s):  
Climate Change ◽  
Growth Rate ◽  
Public Sector ◽  
Population Growth ◽  
Population Growth Rate ◽  
Current System ◽  
Urban System ◽  
Institutional Level ◽  
Global Challenge ◽  
Annual Population

Lahore, the second largest city of Pakistan and home to more than 12 million people with annual population growth rate of 2.4%, has experienced deadly smog duration since last three years. Climate Change is a global challenge and administrations in major cities around the globe have started addressing the issue on top level. Lahore has also seen establishment and operation of various public sector institutions/offices which explicitly or implicitly claim to help Lahore sustain changing needs of urban system due to climate change. However, little is documented yet whether how effective have these interventions been at institutional level. This paper investigates policies, plans, procedures and regulations (whichever available) for seven relevant government offices on the basis of five key assessment areas to explore whether Lahore’s urban system is ready to sustain the challenge of Climate Change. The investigation covers the debate on policy to the plan level. Institutional abilities of selected government offices have been analyzed to ascertain their efficacy. In essence; the capacity of current system has been documented, the gaps in the system have been outlined and the prospective solutions for the way forward have been suggested in this study.

scholarly journals Climate change impacts on population growth across a species’ range differ due to nonlinear responses of populations to climate and variation in rates of climate change

PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0247290
Author(s):  
Allison M. Louthan ◽  
William Morris
Keyword(s):  
Climate Change ◽  
Growth Rate ◽  
Population Growth ◽  
Population Growth Rate ◽  
Climate Change Impacts ◽  
Climate Variables ◽  
Climate Variable ◽  
Geographic Ranges ◽  
Nonlinear Responses ◽  
Impacts Of Climate Change

Impacts of climate change can differ substantially across species’ geographic ranges, and impacts on a given population can be difficult to predict accurately. A commonly used approximation for the impacts of climate change on the population growth rate is the product of local changes in each climate variable (which may differ among populations) and the sensitivity (the derivative of the population growth rate with respect to that climate variable), summed across climate variables. However, this approximation may not be accurate for predicting changes in population growth rate across geographic ranges, because the sensitivities to climate variables or the rate of climate change may differ among populations. In addition, while this approximation assumes a linear response of population growth rate to climate, population growth rate is typically a nonlinear function of climate variables. Here, we use climate-driven integral projection models combined with projections of future climate to predict changes in population growth rate from 2008 to 2099 for an uncommon alpine plant species, Douglasia alaskana, in a rapidly warming location, southcentral Alaska USA. We dissect the causes of among-population variation in climate change impacts, including magnitude of climate change in each population and nonlinearities in population response to climate change. We show that much of the variation in climate change impacts across D. alaskana’s range arises from nonlinearities in population response to climate. Our results highlight the critical role of nonlinear responses to climate change impacts, suggesting that current responses to increases in temperature or changes in precipitation may not continue indefinitely under continued changes in climate. Further, our results suggest the degree of nonlinearity in climate responses and the shape of responses (e.g., convex or concave) can differ substantially across populations, such that populations may differ dramatically in responses to future climate even when their current responses are quite similar.

scholarly journals Effects of Climate Change on Plant Population Growth Rate and Community Composition Change

PLoS ONE ◽  
2015 ◽  
Vol 10 (6) ◽  
pp. e0126228 ◽  
Author(s):  
Xiao-Yu Chang ◽  
Bao-Ming Chen ◽  
Gang Liu ◽  
Ting Zhou ◽  
Xiao-Rong Jia ◽  
...  
Keyword(s):  
Climate Change ◽  
Growth Rate ◽  
Population Growth ◽  
Community Composition ◽  
Population Growth Rate ◽  
Plant Population ◽  
Composition Change

scholarly journals Biological scaling in green algae: the role of cell size and geometry

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Helena Bestová ◽  
Jules Segrestin ◽  
Klaus von Schwartzenberg ◽  
Pavel Škaloud ◽  
Thomas Lenormand ◽  
...  
Keyword(s):  
Growth Rate ◽  
Population Growth ◽  
Population Growth Rate ◽  
Internal Diffusion ◽  
Scaling Exponent ◽  
Power Scaling ◽  
Nutrient Distribution ◽  
Metabolic Scaling ◽  
Key Factor ◽  
Size And Morphology

AbstractThe Metabolic Scaling Theory (MST), hypothesizes limitations of resource-transport networks in organisms and predicts their optimization into fractal-like structures. As a result, the relationship between population growth rate and body size should follow a cross-species universal quarter-power scaling. However, the universality of metabolic scaling has been challenged, particularly across transitions from bacteria to protists to multicellulars. The population growth rate of unicellulars should be constrained by external diffusion, ruling nutrient uptake, and internal diffusion, operating nutrient distribution. Both constraints intensify with increasing size possibly leading to shifting in the scaling exponent. We focused on unicellular algae Micrasterias. Large size and fractal-like morphology make this species a transitional group between unicellular and multicellular organisms in the evolution of allometry. We tested MST predictions using measurements of growth rate, size, and morphology-related traits. We showed that growth scaling of Micrasterias follows MST predictions, reflecting constraints by internal diffusion transport. Cell fractality and density decrease led to a proportional increase in surface area with body mass relaxing external constraints. Complex allometric optimization enables to maintain quarter-power scaling of population growth rate even with a large unicellular plan. Overall, our findings support fractality as a key factor in the evolution of biological scaling.

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