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991.
Teh Louise S. L. Cheung William W. L. Sumaila U. Rashid 《Regional Environmental Change》2017,17(3):619-633
Regional Environmental Change - There is a critical need to develop effective strategies for the long-term sustainability of Canada’s oceans. However, this is challenged by uncertainty over... 相似文献
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Sadia E. Ahmed Carlos M. Souza Jr. Júlia Riberio Robert M. Ewers 《Regional Environmental Change》2013,13(5):927-937
The Brazilian Amazon is a globally important ecosystem that is undergoing rapid development and land-use change. Roads are a key spatial determinant of land-use conversion and strongly influence the rates and patterns of habitat loss and represent a key component of models that attempt to predict the spatio-temporal patterns of Amazonian land-use change and the consequences of such changes. However, the spatio-temporal patterns of road network development are poorly understood and seldom quantified. Here, we used manually digitised satellite imagery at multiple temporal and spatial scales across the Brazilian Amazon to quantify and model the rate at which road networks are proliferating. We found that the road network grew by almost 17,000 km per year between 2004 and 2007. There was large spatial variation in road network density, with some municipalities having road densities as high as 0.5 km/km2, and road network growth rates were highest in municipalities with an intermediate road network density. Simulations indicated that road network development within municipalities follows a logistic growth pattern through time, with most of the development occurring within a 39-year time period. This time period is similar to those of other boom and bust development dynamics observed in the Brazilian Amazon. Understanding the temporal patterns of road development will aid the development of better predictive land-use change models for the Amazon, given the key importance of roads as a predictor of deforestation in many existing models. 相似文献
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Patience U. Ajonina Gordon N. Ajonina Emmanuel Jin Fidèle Mekongo Isidore Ayissi Leonard Usongo 《国际发展与全球生态学杂志》2013,20(2):161-172
Socio-economic surveys were carried out in the Malimba and Mouanko communities in the Sanaga delta region of the Douala-Edea Wildlife Reserve, Cameroon, on the exploitation, processing and marketing of bivalves, with emphasis on gender aspects and impacts on the surrounding forest resources. Sixty people from 16 villages were sampled using a structured questionnaire with field observations documented during the peak fishing period (November 2000–June 2001). Results indicated a strong gender differentiation in the activity, with males dominating bivalve harvesting and shell processing and women dominating the processing for meat. Monthly bivalve meat production of 32.9 tons (197.4 tons per year) generated revenues of 65.4 million FCFA (74.9 million per year). Monthly shell production was put at 1380 tons (8040 tons per year) generating a monthly revenue of 74 million FCFA (444 million per year). Problems faced during exploitation, processing and marketing stages include physical, health and socio-economic: use of very depreciable rudimentary tools, shell injuries, fire and hot water burns, insect pests; blindness, deafness; inadequate storage facilities, transport and remoteness of the area. Bivalve processing activities using wood contributed to a total annual harvest of 50 986 m3 from the surrounding forest. Sustainable conservation measures geared towards poverty alleviation are proposed. 相似文献
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With respect to groundwater quality objectives, it is difficult to understand the nitrogen balance and nitrogen dynamics of agricultural ecosystems without the support of deterministic and stochastic simulation tools. This paper focuses on the deterministic and stochastic modelling of water, heat and nitrogen dynamics in the soil compartments of agricultural ecosystems. The deterministic nitrogen simulation model for agricultural soils presented in this paper, WHNSIM, was originally designed for site conditions typical of southern Germany but can easily be applied to other regions due to its physically based design. Model results are compared with data originating from different experimental sites in Germany. Special consideration is given to the effects of spatial variability. Two different techniques of Monte Carlo simulation are used to study the impact of parameter variability on target variables of nitrogen dynamics on the field scale. Moreover, a procedure is presented that allows modelling nitrogen dynamics on the scale of small catchment areas, combining the geographical information system Arc Info with agricultural management data and model calculations. 相似文献