Environmental water requirements and sustainable water resource management in the Haihe River Basin of North China
In: International journal of sustainable development & world ecology, Band 15, Heft 2, S. 113-121
ISSN: 1745-2627
29 Ergebnisse
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In: International journal of sustainable development & world ecology, Band 15, Heft 2, S. 113-121
ISSN: 1745-2627
In: International journal of sustainable development & world ecology, Band 15, Heft 3, S. 189-197
ISSN: 1745-2627
In: Land use policy: the international journal covering all aspects of land use, Band 108, S. 105536
ISSN: 0264-8377
In: Wildlife research, Band 42, Heft 3, S. 266
ISSN: 1448-5494, 1035-3712
Context Traffic network construction is an essential method for enhancing the effectiveness of economic activities, but it can have various negative impacts on rare wildlife. In China, the rate of road construction has increased by over 300% during the past decade; however, the resulting fragmentation of rare habitats at a national scale remains uncertain. Aims This study mainly aimed to evaluate the impacts of road and railway networks on the fragmentation of habitats of endangered species in China. Another aim is to identify the key areas and road sections where improvements to habitat connectivity and integrity are urgently required. Methods We documented habitat information for 21 indicator species on the basis of two comprehensive datasets and over 120 previous studies. We combined this information to simulate the habitats of all these species by integrating a conceptual model and expert knowledge. We calculated the rates of change on the basis of three geometric habitat patterns for each species in traffic-clearing scenarios and road- and railway-overlay scenarios. An optimal algorithm, the core-area zonation cell-removal rule, was used to identify rare habitats affected by severe traffic stress. Key results According to our analysis, we ranked the road density in the habitats of all species as a straightforward evaluation of transportation stress. Among the different species considered, snow leopard (Panthera uncia), Cabot's tragopan (Tragopan caboti) and Przewalski's gazelle (Procapra przewalskii) appeared to be affected most severely by road-induced fragmentation. In addition, we classified five patterns of habitat fragmentation among species to facilitate wildlife management. On the basis of the trade-off between road density and conservation value per unit, we identified 17 unit sets as key traffic-affected areas, including 40 highways, 62 national roads and 51 railway sections. Conclusions Our results suggested that assessing the distributions of several key species can be effective in evaluating the impacts of roads on rare-wildlife habitats in China. Our results also indicated that the habitats of narrowly distributed species, such as Chinese alligator and Sichuan partridge, have high traffic densities, but core habitat degradation is even more serious for the habitats of species with higher intrinsic mobility or greater area requirements. Finally, we suggest that future conservation programs and restoration efforts should concentrate on roads or railway sections in the key areas that we identified. Implications In the present study, we obtained spatially explicit findings related to the maintenance of rare wildlife in a region where wildlife-protection information is lacking. Our site-selection results can be used to allocate highly limited conservation resources in a more efficient and effective manner, to facilitate wildlife protection in this region.
In: Chinese journal of population, resources and environment, Band 7, Heft 4, S. 69-81
ISSN: 2325-4262
In: International journal of sustainable development & world ecology, Band 13, Heft 6, S. 459-468
ISSN: 1745-2627
In: Land use policy: the international journal covering all aspects of land use, Band 150, S. 107462
ISSN: 0264-8377
In: Environmental science and pollution research: ESPR, Band 23, Heft 22, S. 22871-22881
ISSN: 1614-7499
In: Environmental science and pollution research: ESPR, Band 23, Heft 17, S. 17689-17701
ISSN: 1614-7499
To address devastating environmental crises and to improve human well-being, China has been implementing a number of national policies on payments for ecosystem services. Two of them, the Natural Forest Conservation Program (NFCP) and the Grain to Green Program (GTGP), are among the biggest programs in the world because of their ambitious goals, massive scales, huge payments, and potentially enormous impacts. The NFCP conserves natural forests through logging bans and afforestation with incentives to forest enterprises, whereas the GTGP converts cropland on steep slopes to forest and grassland by providing farmers with grain and cash subsidies. Overall ecological effects are beneficial, and socioeconomic effects are mostly positive. Whereas there are time lags in ecological effects, socioeconomic effects are more immediate. Both the NFCP and the GTGP also have global implications because they increase vegetative cover, enhance carbon sequestration, and reduce dust to other countries by controlling soil erosion. The future impacts of these programs may be even bigger. Extended payments for the GTGP have recently been approved by the central government for up to 8 years. The NFCP is likely to follow suit and receive renewed payments. To make these programs more effective, we recommend systematic planning, diversified funding, effective compensation, integrated research, and comprehensive monitoring. Effective implementation of these programs can also provide important experiences and lessons for other ecosystem service payment programs in China and many other parts of the world.
BASE
In: International journal of sustainable development & world ecology, Band 14, Heft 5, S. 511-519
ISSN: 1745-2627
In: Population and environment: a journal of interdisciplinary studies, Band 21, Heft 1, S. 45-58
ISSN: 1573-7810
In: STOTEN-D-22-28466
SSRN
In: Ecology and society: E&S ; a journal of integrative science for resilience and sustainability, Band 23, Heft 3
ISSN: 1708-3087
In: Environmental science and pollution research: ESPR, Band 22, Heft 24, S. 20226-20233
ISSN: 1614-7499