Climate change: An uncertain future for dairy farming in Zimbabwe

2018 ◽  
Vol 73 (3) ◽  
pp. 237-242
Author(s):  
Irene Mhlanga ◽  
Henry Ndaimani ◽  
Kudzai Mpakairi ◽  
Never Mujere
2019 ◽  
Vol 72 (04) ◽  
pp. 430-436
Author(s):  
Kuppusamy Ponnusamy . ◽  
Ritu Chakravarty . ◽  
Sohanvir Singh .
Keyword(s):  

Eos ◽  
2018 ◽  
Vol 99 ◽  
Author(s):  
Joshua Dean

Methane is generally considered secondary to carbon dioxide in its importance to climate change, but what role might methane play in the future if global temperatures continue to rise?


<em>Abstract</em>.-Climate change can have an effect on species distributions. The 1900 distribution and potential future distribution of diadromous fish in Europe, North Africa, and the Middle East were explored using generalized additive models (GAMs) and selected habitat characteristics of 196 basins. Robust presence-absence models were built for 20 of the 28 diadromous species in the study area using longitude, annual temperature, drainage surface area, annual precipitation, and source elevation as explanatory variables. Inspection of the relationship between each variable and species presence-absence revealed that the GAMs were generally interpretable and plausible. Given the predicted rise in annual temperature in climate models ranging between 1°C and 7°C by 2100, the fish species were classified according to those losing suitable basins, those gaining suitable basins, and those showing little or no change. It was found that the climate envelopes based on temperature and precipitation for diadromous species would, in general, be shifted farther northeastwards by 2100, and these shifting ranges were comparable with those assessed in other studies. The uncertain future of some species was highlighted, and it was concluded that conservation policy and management plans will need to be revised in the face of climate change.


Author(s):  
Mark J. Plotkin

I have already outlined a number of threats to Amazonia like cattle ranching, mining, and climate change, but what follows are some of the most urgent—​and ominous—​risks and challenges that lie ahead. Is cattle ranching a major cause of Amazonian deforestation? Brazil possesses one of the...


Author(s):  
Xiyue Li ◽  
Gary Yohe

This chapter offers results from an artificial simulation exercise that was designed to answer three fundamental questions that lie at the heart of anticipatory adaptation. First, how can confidence in projected vulnerabilities and impacts be greater than the confidence in attributing what has heretofore been observed? Second, are there characteristics of recent historical data series that do or do not portend our achieving high confidence in attribution to climate change in support of framing adaptation decisions in an uncertain future? And finally, what can analysis of confidence in attribution tell us about ranges of “not-implausible” extreme futures vis-à-vis projections based at least implicitly on an assumption that the climate system is static? An extension of the IPCC method of assessing our confidence in attribution to anthropogenic sources of detected warming presents an answer to the first question. It is also possible to identify characteristics that support an affirmative answer to the second. Finally, this chapter offer some insight into the significance of our attribution methodology in informing attempts to frame considerations of potential extremes and how to respond.


2021 ◽  
Vol 750 ◽  
pp. 142031
Author(s):  
Khurshid Alam Bhuiyan ◽  
Belén Marín Rodríguez ◽  
Adilia Pires ◽  
Inmaculada Riba ◽  
Ángel Dellvals ◽  
...  

Eos ◽  
2015 ◽  
Vol 96 ◽  
Author(s):  
K. Smith Jr. ◽  
Monique Messié ◽  
Alana Sherman ◽  
Christine Huffard ◽  
Brett Hobson ◽  
...  

Long-term observing of our world's oceans is crucial to understanding climate change. Innovation and collaboration are needed to achieve sustainable oceanic time series.


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