Simulating Icelandic vegetation cover during the Holocene Implications for long-term land degradation

We have simulated the spatial relationship between temperature change and long-term potential vegetation cover dynamics. The results show that the potential vegetation and birch forest range is highly sensitive to the temperature conditions. Around 3000 BP the simulated potential vegetation cover began to decrease and at the time of the Viking settlement, in AD 874 (1076 BP ), vegetation and forest cover was already in decline. The climate driven decline continued to an unprecedented low potential for vegetation for the Holocene that lasted c. 600 years, i.e. between AD c . 1300 and 1900. These interpretations are further supported by geomorphological and pollen data.     

基于熵权法的土地覆被动态遥感监测与评价——以新疆伊犁地区和博州为例

基于MODIS数据,选取植被净第一性生产力(NPP)、温度植被旱情指数(TVDI)、改进型土壤调整植被指数(MSAVI)、陆地表面温度(LST)4个对干旱地区地表覆被具有显著指示作用的指标,结合IGBP土地利用类型分类图,以新疆伊犁地区和博尔塔拉蒙古自治州(简称博州)为例,对研究区2003—2007年土地覆被动态进行监测,并利用熵权法确定各个指标的权重,在此基础上进行土地覆被动态的综合评价。结果表明,不同指标对不同的土地利用类型具有不同的适宜性和指示度;在新疆伊犁地区和博州,土地覆被动态地域差异性明显,土地覆被退化程度较大的土地类型为水体、草地、永久湿地、城镇,而森林、灌木林、荒漠草原和农田等土地类型有所改善,呈现出“局部改善、总体退化”的局面;引用熵权法将多个遥感指标综合起来进行土地覆被动态的监测与评价的途径是可行且有效的,可为干旱区土地覆被、荒漠化、土地退化、植被变化等工作的监测与评价提供可靠的技术方法与有价值的案例。     

Soil fertility evolution and landscape dynamics in a Mediterranean area: a case study in the Sant Llorenç Natural Park (Barcelona, NE Spain)

The cartography of land covers was used to study fertility and soil evolution in a mountainous Mediterranean area during the anthropocene period ( Crutzen P J 2002 Geology of mankind Nature 415 23). The aim was to determine changes in fertility as agricultural lands were abandoned in the 14 000 hectare area that constitutes Sant Llorenç del Munt Natural Park in a pre-coastal Catalan mountain range (north-eastern Iberian Peninsula). The analysis of land covers using vegetation maps, orthorectified images and aerial photography has allowed us to differentiate six vegetation groups: holm-oak wood, pine grove, oak wood, scrub, active agricultural fields and abandoned agricultural fields. The anthropic covers over the past 100 years were subdivided into five categories: active fields and those abandoned over four time periods. Study variables include field shape (concave, convex, flat), orientation (north, south) and slope (ranging from 12º to 24º). The parameters used for the physical-chemical soil analysis included organic material, phosphorous and potassium; fertility was classified based on groups, types and classes. The results indicate that even when the visual appearance of certain landscapes is similar, the edaphic characteristics may be very different. Changes induced by human disturbance share this phenomenon. Therefore, land management should be considered globally, taking into account vegetation, soils and water as interdependent factors, since it is their interaction that produces landscape and most affects its evolution over time.     

Incorporating spectral data into logistic regression model to classify land cover: a case study in Mt. Qomolangma (Everest) National Nature Preserve

Only few models for land-cover classification incorporated spectral data into ordinary logistic regression (OL model) in the Mt. Qomolangma (Everest) National Nature Preserve (QNNP) in China. In this study, spectral variables were incorporated into OL model and autologistic regression (AL) model to classify six main land covers. Twelve environmental variables and seven spectral variables of 10,000 stratified random sites in the QNNP were quantified and analyzed; OL model, AL model, OL model with spectral data (OLM model), and AL model with spectral data (ALM model) were estimated. The OLM and ALM models produced better estimates of regression coefficients and significantly improved model performance and overall accuracy for the grassland, sparsely vegetated land, and bare land compared with OL and AL models.