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Discovering how to best protect one of the most endangered animals in the world, giant pandas, has always been an important project in ecological studies. Moreover, researching the living environments of giant pandas and how to recover them is one of the most important elements to these studies. In order to more effectively protect the giant pandas and their habitats, we studied the changing of Xiaohegou nature reserve landscape for 20 years, from 1994 to 2014, based on the landscape ecology theory and “3S” techniques (geographic information systems, GIS; remote sensing, RS; global navigation satellite system, GNSS). Specifically, this paper analyzes factors such as landscape fragmentation, connectivity, disturbance degree, landscape diversity, etc. Accordingly, the research presented divides giant panda habitat into nine landscape types that include: evergreen deciduous broad-leaved mixed forest, secondary broadleaved forest, mixed coniferous and deciduous broad-leaved forests, and coniferous forest, et al. The results show that: 1) before establishing the Xiaohegou Nature Reserve in 1993, deforestation was a serious problem, as the results from the 1994 landscape fragmentation suggest. 2) Logging was rampant before the implementation of the national natural forest protection project that began in 1998. Severe damage was observed on the coniferous forest in giant panda habitat. Yet, from the high level of fragmentation that was observed in the connectivity of giant panda habitat, the results suggest 1994 was the worst. After more than ten years of recovery, from 2001 to 2014, the situation of regarding the habitat’s connectivity appears better than previous years. 3) The habitat has been impacted heavily by human disturbance from 1994 to 2001, although it has shown a slight decrease in this tendency from 2001 to 2014. 4) In the past 20 years, both the diversity and evenness indexes are showing a slow drop tendency. 5) This paper analyzes the changing situation regarding the land category evolution of giant panda habitats. Coniferous forests, the main habitat of giant pandas, decreased 6.37 hm² during these 5 years, with a rate of decrease at 1.27 hm² per annum from 1994 to 1998. In the years that followed, however, the coniferous forest recovered 4.21 hm² over the course of 15 years at the rate of 0.28 hm² per annum from 1999 to 2014, providing a reference for further nature reserve policy development.
Potassium (K), one of main essential macronutrient elements in soil, is vital to the growth and metabolism of giant pandas (Ailuropoda melanoleuca) and its staple food bamboos (SFB). However, it is still unknown how the content of K in soil shapes giant panda distribution. To address this problem, we use geographical information system (GIS) and regression analysis to measure their spatial distribution data and analyze their relationships. Our results show a unimodal relationship between the species richness of SFB and K (R²= 0.90, P<0.01), a significant positive linear correlation relationship between SFB and giant panda (R²= 0.47, P<0.01), and a significant unimodal relationship between the K and giant panda (R²= 0.58, P<0.01). Moreover, results reveal that the giant panda may tend to select habitats with K in the soil ranging from 2.58 to 3.14 (mg/g). Our study also highlights the important effect of the eco-geological environment in shaping the distribution of giant panda. Our study suggests that it is essential to incorporate the beneficial and harmful element factors of an eco-geological environment into wildlife habitat research and management. It should improve on habitat estimation, corridor establishment, and biodiversity conservation.
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