气候变化领域集成服务门户(CCPortal): Application of the MODIS MOD 17 Net Primary Production product in grassland carrying capacity assessment

CCPortal

DOI	10.1016/j.jag.2018.09.014
	Application of the MODIS MOD 17 Net Primary Production product in grassland carrying capacity assessment
	de Leeuw J.; Rizayeva A.; Namazov E.; Bayramov E.; Marshall M.T.; Etzold J.; Neudert R.
发表日期	2019
ISSN	15698432
起始页码	66
结束页码	76
卷号	78
英文摘要	Remote sensing based grassland carrying capacity assessments are not commonly applied in rangeland management. Possible reasons for this include non-equilibrium thinking in rangeland management, and the costliness of existing remotely sensed biomass estimation that carrying capacity assessments require. Here, we present a less demanding approach for grassland biomass estimation using the MODIS Net Primary Production (NPP) product and demonstrate its use in carrying capacity assessment over the mountain grasslands of Azerbaijan. Based on publicly available estimates of the fraction of total NPP partitioned to aboveground NPP (fANPP) we calculate the aboveground biomass produced from 2005 to 2014. Validation of the predicted aboveground biomass with independent field biomass data collected in 2007 and 2008 confirmed the accuracy of the aboveground biomass product and hence we considered it appropriate for further use in the carrying capacity assessment. A first assessment approach, which allowed for consumption of 65% of aboveground biomass, resulted in an average carrying capacity of 12.6 sheep per ha. A second more realistic approach, which further restricted grazing on slopes steeper than 10%, resulted in a stocking density of 6.20 sheep per ha and a carrying capacity of 3.93 million sheep. Our analysis reveals overgrazing of the mountain grasslands because the current livestock population which consists of at least 8 million sheep, 0.5 million goats and an unknown number of cattle exceeds the predicted carrying capacity of 3.93 million sheep. We consider that the geographically explicit advice on sustainable stocking densities is particularly attractive to regulate grazing intensity in geographically varied terrain such as the mountain grasslands of Azerbaijan. We further conclude that the approach, given its generic nature and the free availability of most input data, could be replicated elsewhere. Hence, we advise considering its use where traditional carrying capacity assessments are difficult to implement. © 2018 Elsevier B.V.
英文关键词	Aboveground biomass; Carrying capacity; MODIS MOD17; Mountain grasslands; NPP
语种	英语
scopus关键词	aboveground biomass; carrying capacity; estimation method; grassland; MODIS; net primary production; remote sensing; Azerbaijan; Bos; Capra hircus; Ovis aries
来源期刊	International Journal of Applied Earth Observation and Geoinformation
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/156464
作者单位	Baku State University, Dept. Bioecology, Baku, AZ1148, Azerbaijan; GIZ, Integrated Biodiversity Management South Caucasus, Baku, Azerbaijan; BP Azerbaijan-Georgia-Turkey Region, Baku, Azerbaijan; Faculty Geoinformation Science & Earth Observation, University Twente, Enschede, Netherlands; ESTOK UG, Bernau, Germany; Greifswald University, Faculty of Law and Economics & Institute of Botany and Landscape Ecology, Greifswald, Germany; SILVIS Lab, Department of Forest and Wildlife Ecology, University of Wisconsin-Madison, Madison, WI 53706, United States
推荐引用方式 GB/T 7714	de Leeuw J.,Rizayeva A.,Namazov E.,et al. Application of the MODIS MOD 17 Net Primary Production product in grassland carrying capacity assessment[J],2019,78.
APA	de Leeuw J..,Rizayeva A..,Namazov E..,Bayramov E..,Marshall M.T..,...&Neudert R..(2019).Application of the MODIS MOD 17 Net Primary Production product in grassland carrying capacity assessment.International Journal of Applied Earth Observation and Geoinformation,78.
MLA	de Leeuw J.,et al."Application of the MODIS MOD 17 Net Primary Production product in grassland carrying capacity assessment".International Journal of Applied Earth Observation and Geoinformation 78(2019).