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National level biomass database comparison for Mexico in relation to vegetation degradation stages

机译:与植被退化阶段有关的墨西哥国家一级生物量数据库比较

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Anthropogenic land cover change, e.g. deforestation and forest degradation cause carbon emission. To estimate deforestation and forest degradation, it is important to have reliable data on vegetation and carbon distribution. In Mexico, land cover maps are available at national level in which vegetation is described in four statuses: primary, secondary ("woodland"), secondary ("shrub land"), and secondary ("grass") according to degradation stages. Data on biomass/carbon distribution are also available including: (1) INFyS: national forest and soil inventory; (2) MODIS WHRC: biomass data by Woodshole Research Center for Pantropical region using MODIS data; (3) PALSAR EHRC: biomass data produced by WHRC for Mexico using PALSAR data; (4) MODIS VCF: Vegetation Continuous Fields percent tree cover layer. The aim of this study is 1) to evaluate if degradation stages and biomass are positively correlated, e.g. better preserved vegetation has more biomass, and 2) to evaluate the spatial patterns of the comparison in 1) using geographically weighted regression (GWR), 3) to assess the correlation among the biomass datasets including VCF data. Results show that 1) in general, the biomass value decreases following the degradation stages and the most degraded stage corresponds to the least biomass value. Cuzick value shows that this trend is significant in most of the cases. However, there is serious overlapping in biomass values in various stages. 2) GWR results show that in some regions the four disturbance stages corresponds better with the difference in biomass values. The regions with higher parameter value show better correlation. 3) The biomass data from PALSAR WHRC show higher Spearman values and thus stronger correlation with the biomass data from INFyS. However, due to that biomass data from INfyS and PALSAR WHRC are not independent; we consider the better correlation is from the rest two biomass datasets.
机译:人为的土地覆盖变化,例如森林砍伐和森林退化导致碳排放。要估计森林砍伐和森林退化,重要的是要有关于植被和碳分布的可靠数据。在墨西哥,可获得国家级的土地覆盖图,其中根据退化阶段以四种状态描述了植被:主要,次要(“林地”),次要(“灌木地”)和次要(“草”)。还可以获得有关生物量/碳分布的数据,包括:(1)INFyS:国家森林和土壤清单; (2)MODIS WHRC:Woodshole研究中心对泛热带地区的生物量数据,使用MODIS数据; (3)PALSAR EHRC:WHRC使用PALSAR数据为墨西哥生产的生物量数据; (4)MODIS VCF:植被连续字段百分比树覆盖层。这项研究的目的是1)评估降解阶段与生物量是否正相关,例如保存得更好的植被具有更多的生物量,以及2)在1)中使用地理加权回归(GWR)评估比较的空间格局,3)评估包括VCF数据的生物量数据集之间的相关性。结果表明:1)一般而言,生物量值在降解阶段后降低,而降解程度最高的生物量值对应于最小的生物量值。 Cuzick值表明,在大多数情况下,这种趋势很明显。但是,各个阶段的生物量值存在严重的重叠。 2)GWR结果表明,在某些地区,四个扰动阶段与生物量值的差异更好地对应。参数值较高的区域显示更好的相关性。 3)PALSAR WHRC的生物量数据显示出较高的Spearman值,因此与INFyS的生物量数据具有更强的相关性。但是,由于来自INfyS和PALSAR WHRC的生物量数据不是独立的;我们认为更好的相关性来自其余两个生物量数据集。

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