Capacity building in tropical coastal resource monitoring in developing countries: A re-appreciation of the oldest remote sensing method

Long-term decadal retrospection in spatio-temporal imagery analyses can only be carried out using aerial photographs, which are still the most detailed remotely sensed data available. Visual interpretation of such imagery is most efficient and inexpensive in the light of ecosystem monitoring research in developing countries, which are often unable to cope with the development or the cost of acquisition of commercial space-borne imaging (e.g. IKONOS, Quickbird). In this light, the present paper explicitly analyses the methodological use of image attributes of air-borne imagery from mangrove forests, and investigates the consistency and constraints of mangrove image attributes in visually interpreted air-borne imagery. Six image attributes are analysed, and their application is illustrated using various mangrove sites in Kenya and Sri Lanka. Comparison of identification keys reveals that minor attributes such as 'ecological position' are informative, and that image attributes for a particular species or genus are apparently less plastic and more widely applicable than formerly assumed. Emphasis on compulsory fieldwork is made and constraints related to reflection and interference, amongst others, are discussed.     

Methodology for an urban ecological footprint to evaluate sustainable development in China

The ecological footprint (EF) is a method for measuring sustainable development through ecological impact. A methodology is presented for predicting urban ecological footprints. Urban energy use and natural resource consumption were analyzed to calculate an EF based on land type (arable, pasture, forest, fossil energy land, built-up area and water area) and consumption (food, housing, transportation, goods, services and waste). The result was then compared with the local ecological carrying capacity to develop criteria for sustainable ecological footprints. Case studies of four cities in China (Guangzhou, Ningbo, Suzhou and Yangzhou) illustrate the urban EF approach. The time series of EF in a case study of Guangzhou for 1991–2001 was analyzed and the consumption–land-use matrix of urban EF was established. The results show that the cities are ecologically unsustainable, with average ecological conflicts per capita of more than 2 ha. The urban EF method is useful to measure urban sustainable development and provides policy proposals for decision-making. However, the EF method still has limitations and weaknesses.     

Livestock carrying capacity evaluation in an integrated farming system: A case study from the mid-hills of Nepal

The crop livestock integrated farming system practiced in hilly regions of developing countries largely depends on the ecosystem as a whole. More especifically, the livestock component of the farming system relies heavily on natural resources such as forest, grazing and agricultural land for the supply of feed and fodder. The importance of animals as agents of nutrient recycling, sources of rural energy in terms of draft power and fuel, as well as being major contributors to the farm economy, has resulted in an increased population of ruminants in these regions, creating a threat to the sustainability and productivity of these land resources. This paper is an attempt to evaluate the livestock carrying capacity of land resources and to formulate the optimum herd size compatible with the differently resourced farm categories within the sub-watershed region of the mid-hills in Nepal. Our analysis reveals that the livestock carrying capacity of the land resources at the watershed level is 11696 Livestock Units (LU), whereas current stocking is 12985 LU, suggesting an overstocking of 1289 LU at the watershed level. Total feed supply from different sources is 12668 mt/yr whereas current Total Digestive Nutrient (TDN) demand is 14060 mt/yr, a negative balance of 1393 mt/yr. The excess livestock at the sub-watershed level directly implies excess livestock holding, producing a poor nutritional status for the farm household. Linear programming analysis reveals that the farmers of large, medium and small category farms can optimize their livestock holding by a combination of 3 LU buffaloes and 4 LU goats, 2 LU buffaloes and 4 LU goats and 1 LU buffaloes and 4.4 LU goats, thus giving maximum return to the farm family without exerting pressure on fragile natural resources.     

Predicting China's cultivated land resources and supporting capacity in the twenty-first century

In recent years, China's cultivated land has been shrinking, a change which has become one of the potential challenges to national sustainable development and global food security. In our research, we have predicted China's cultivated land resources for the next 50 years, based on scrutiny of systematic data and analyses of the loss of cultivated land. We have also designed an indicator of cultivated land equivalent per capita (CLEPC) to assess the capacity of cultivated land to support our population. The results show that China's cultivated land will decline to a minimum of 113.31 million ha between 2001–2010, while cultivated land per capita will decline from 0.101 ha to 0.083 ha. After 2010, the area of cultivated land will begin to increase slowly to 118.98 million ha in 2050. However, cultivated land per capita will still decline to 0.079 ha between 2010–2030; after 2030, it will start to increase and reach 0.085 ha in 2050. In contrast to the total area and per capita area of cultivated land, the CLEPC will remain at 0.101 ha between 2001–2010, and then increase to 0.156 ha in 2050. Overall, there will be increasing stress on China's cultivated land during the next two or three decades. Although the supporting capacity of cultivated land may not decline obviously with improvement in agricultural technology and infrastructure, China has to make great efforts to reduce the loss of cultivated land and to improve its productivity to ensure food security in the near future.     

Linking the concept of ecological footprint and valuation of ecosystem services: A case study of economic growth and natural carrying capacity

Human activities have become so extensive that all ecosystems on the planet have been altered to some extent. The fate of humankind will be determined by how sustainable ecosystems and the renewable resources in them are managed. The implication of this is obvious: humanity must live within nature's carrying capacity. In recent years, humans have recognised that growth of the economy depends on natural capital, and it is important that we now recognise that we are part of an international ecological economics community, so as to better integrate the economy and ecology. However, there are few successful examples of this. The aim of this paper is to show a method for integrated analysis between economic growth and natural carrying capacity by linking the concepts of ecological footprint and valuation of ecosystem services. When applied to China for the period 1987–2003, the empirical evidence suggests that the size of the Chinese economy surpassed the carrying capacity in 1992. Perhaps, we should abandon our high-growth predilection and initiate a transition to a steady-state economy.