Impacts of climate change and crop management practices on soybean phenology changes in China

2020 ◽  
Vol 707 ◽  
pp. 135638 ◽  
Author(s):  
Liang He ◽  
Ning Jin ◽  
Qiang Yu
Author(s):  
Ross H Martin ◽  
Joshua B Hodge ◽  
Clayton J Whitesides

E.P. Meinecke, a noted plant pathologist and staunch supporter of conservation, authored an influential article about the impacts of tourism on redwood trees. In the Effect of Excessive Tourist Travel on the California Redwood Parks, published in 1929, Meinecke found that soil compaction by tourists had a negative impact on tree roots and his recommendations for amelioration were both logical and laced with philosophical ideals. We revisit that report with a modern perspective by reviewing his findings and suggestions, and by comparing his ideas with modern research and tourism management practices. One of Meinecke’s greatest concerns was the advent of the automobile and its ability to bring more people to redwood groves. We take that concern to the next logical step and discuss potential impacts of climate change on redwood trees.


2017 ◽  
Vol 247 ◽  
pp. 42-55 ◽  
Author(s):  
Ghulam Abbas ◽  
Shakeel Ahmad ◽  
Ashfaq Ahmad ◽  
Wajid Nasim ◽  
Zartash Fatima ◽  
...  

2016 ◽  
Vol 154 (7) ◽  
pp. 1153-1170 ◽  
Author(s):  
E. EBRAHIMI ◽  
A. M. MANSCHADI ◽  
R. W. NEUGSCHWANDTNER ◽  
J EITZINGER ◽  
S. THALER ◽  
...  

SUMMARYClimate change is expected to affect optimum agricultural management practices for autumn-sown wheat, especially those related to sowing date and nitrogen (N) fertilization. To assess the direction and quantity of these changes for an important production region in eastern Austria, the agricultural production systems simulator was parameterized, evaluated and subsequently used to predict yield production and grain protein content under current and future conditions. Besides a baseline climate (BL, 1981–2010), climate change scenarios for the period 2035–65 were derived from three Global Circulation Models (GCMs), namely CGMR, IPCM4 and MPEH5, with two emission scenarios, A1B and B1. Crop management scenarios included a combination of three sowing dates (20 September, 20 October, 20 November) with four N fertilizer application rates (60, 120, 160, 200 kg/ha). Each management scenario was run for 100 years of stochastically generated daily weather data. The model satisfactorily simulated productivity as well as water and N use of autumn- and spring-sown wheat crops grown under different N supply levels in the 2010/11 and 2011/12 experimental seasons. Simulated wheat yields under climate change scenarios varied substantially among the three GCMs. While wheat yields for the CGMR model increased slightly above the BL scenario, under IPCM4 projections they were reduced by 29 and 32% with low or high emissions, respectively. Wheat protein appears to increase with highest increments in the climate scenarios causing the largest reductions in grain yield (IPCM4 and MPEH-A1B). Under future climatic conditions, maximum wheat yields were predicted for early sowing (September 20) with 160 kg N/ha applied at earlier dates than the current practice.


2018 ◽  
Vol 248 ◽  
pp. 518-526 ◽  
Author(s):  
Yujie Liu ◽  
Qiaomin Chen ◽  
Quansheng Ge ◽  
Junhu Dai ◽  
Ya Qin ◽  
...  

2013 ◽  
Vol 117 ◽  
pp. 55-65 ◽  
Author(s):  
Niklaus Lehmann ◽  
Robert Finger ◽  
Tommy Klein ◽  
Pierluigi Calanca ◽  
Achim Walter

2018 ◽  
Vol 18 ◽  
pp. 6-14
Author(s):  
Yuga N. Ghimire ◽  
Ram B. Rana ◽  
Shanti Ale ◽  
Indra Poudel ◽  
Bir B. Tamang

This paper highlights the effects of climate related hazards in crops and the existing adaptation practices in the high hills of Nepal. First, interaction meeting held in Kathmandu decided to select three districts: Humla, Kaski and Solukhumbhu as the representative districts. Second, stakeholder interaction meetings held in respective districts selected three villages: Chhipra from Humla district, Lumle from Kaski district and Takashindu from Solukhumbhu district. Information was acquired using Focus Group Discussion with the use of diversity analysis tools viz. four-cell analysis, noting traits of local crop genetic resources, and matrix ranking of crop varieties. The study found that climate hazards were increasing in recent years affecting farming adversely. Existing adaptation practices included change of crops and cropping pattern and use of alternate crop management strategies. Tourism, low social value attached to traditional crops, inadequate research, and food subsidy and other forms of external support have been identified as the threat to agrobiodiversity conservation in high hills of Nepal. Promotion of agro-tourism, identifying crop varieties tolerant to extreme weather events and their promotion through technology development and value addition have been suggested to combat climate change effects in high hill agriculture in the country.


2017 ◽  
Vol 114 (39) ◽  
pp. 10438-10442 ◽  
Author(s):  
Pablo Imbach ◽  
Emily Fung ◽  
Lee Hannah ◽  
Carlos E. Navarro-Racines ◽  
David W. Roubik ◽  
...  

Climate change will cause geographic range shifts for pollinators and major crops, with global implications for food security and rural livelihoods. However, little is known about the potential for coupled impacts of climate change on pollinators and crops. Coffee production exemplifies this issue, because large losses in areas suitable for coffee production have been projected due to climate change and because coffee production is dependent on bee pollination. We modeled the potential distributions of coffee and coffee pollinators under current and future climates in Latin America to understand whether future coffee-suitable areas will also be suitable for pollinators. Our results suggest that coffee-suitable areas will be reduced 73–88% by 2050 across warming scenarios, a decline 46–76% greater than estimated by global assessments. Mean bee richness will decline 8–18% within future coffee-suitable areas, but all are predicted to contain at least 5 bee species, and 46–59% of future coffee-suitable areas will contain 10 or more species. In our models, coffee suitability and bee richness each increase (i.e., positive coupling) in 10–22% of future coffee-suitable areas. Diminished coffee suitability and bee richness (i.e., negative coupling), however, occur in 34–51% of other areas. Finally, in 31–33% of the future coffee distribution areas, bee richness decreases and coffee suitability increases. Assessing coupled effects of climate change on crop suitability and pollination can help target appropriate management practices, including forest conservation, shade adjustment, crop rotation, or status quo, in different regions.


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