气候变化领域集成服务门户(CCPortal): Mapping and modelling trade-offs and synergies between grazing intensity and ecosystem services in rangelands using global-scale datasets and models

CCPortal

DOI	10.1016/j.gloenvcha.2014.08.007
	Mapping and modelling trade-offs and synergies between grazing intensity and ecosystem services in rangelands using global-scale datasets and models
	Petz K.; Alkemade R.; Bakkenes M.; Schulp C.J.E.; van der Velde M.; Leemans R.
发表日期	2014
ISSN	0959-3780
卷号	29
英文摘要	Vast areas of rangelands across the world are grazed with increasing intensity, but interactions between livestock production, biodiversity and other ecosystem services are poorly studied. This study explicitly determines trade-offs and synergies between ecosystem services and livestock grazing intensity on rangelands. Grazing intensity and its effects on forage utilization by livestock, carbon sequestration, erosion prevention and biodiversity are quantified and mapped, using global datasets and models. Results show that on average 4% of the biomass produced annually is consumed by livestock. On average, erosion prevention is 10% lower in areas with a high grazing intensity compared to areas with a low grazing intensity, whereas carbon emissions are more than four times higher under high grazing intensity compared to low grazing intensity. Rangelands with the highest grazing intensity are located in the Sahel, Pakistan, West India, Middle East, North Africa and parts of Brazil. These high grazing intensities result in carbon emissions, low biodiversity values, low capacity for erosion prevention and unsustainable forage utilization. Although the applied models simplify the processes of ecosystem service supply, our study provides a global overview of the consequences of grazing for biodiversity and ecosystem services. The expected increasing future demand for livestock products likely increase pressures on rangelands. Global-scale models can help to identify targets and target areas for international policies aiming at sustainable future use of these rangelands. © 2014 Elsevier Ltd.
英文关键词	Biodiversity; Carbon sequestration; Erosion prevention; Livestock production; Net primary production; Rangeland
学科领域	biodiversity; biomass; carbon sequestration; data set; ecosystem service; environmental change; environmental modeling; erosion control; forage; grazing pressure; livestock farming; net primary production; rangeland; synergism; trade-off; Brazil; India; Middle East; North Africa; Pakistan; Sahel [Sub-Saharan Africa]
语种	英语
scopus关键词	biodiversity; biomass; carbon sequestration; data set; ecosystem service; environmental change; environmental modeling; erosion control; forage; grazing pressure; livestock farming; net primary production; rangeland; synergism; trade-off; Brazil; India; Middle East; North Africa; Pakistan; Sahel [Sub-Saharan Africa]
来源期刊	Global Environmental Change
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/117697
作者单位	PBL Netherlands Environmental Assessment Agency, PO Box 303, Bilthoven, 3720 AH, Netherlands; Environmental Systems Analysis Group, Wageningen University, PO Box 47, Wageningen, 6700AA, Netherlands; VU University Amsterdam, Institute for Environmental Studies (IVM), De Boelelaan 1087, Amsterdam, 1081 HV, Netherlands; European Commission, DG JRC, Institute for Environment and Sustainability, Ispra, 21027, Italy; International Institute for Applied Systems Analysis, Schlossplatz 1, Laxenburg, A-2361, Austria
推荐引用方式 GB/T 7714	Petz K.,Alkemade R.,Bakkenes M.,et al. Mapping and modelling trade-offs and synergies between grazing intensity and ecosystem services in rangelands using global-scale datasets and models[J],2014,29.
APA	Petz K.,Alkemade R.,Bakkenes M.,Schulp C.J.E.,van der Velde M.,&Leemans R..(2014).Mapping and modelling trade-offs and synergies between grazing intensity and ecosystem services in rangelands using global-scale datasets and models.Global Environmental Change,29.
MLA	Petz K.,et al."Mapping and modelling trade-offs and synergies between grazing intensity and ecosystem services in rangelands using global-scale datasets and models".Global Environmental Change 29(2014).