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Detecting tropical dry forest succession in a shifting cultivation mosaic of the Yucatan Peninsula, Mexico

机译:在墨西哥尤卡坦半岛(Yucatan Peninsula)转移种植的马赛克中检测热带干旱森林演替

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The detection of secondary growth stages is fundamental to understanding the dynamics of forest loss and recovery at broad geographic scales. This study combines three remote-sensing techniques: vegetation indices, principal components analysis, and texture analysis, to distinguish forest successional stage and forest fallow length in a landscape of smallholder shifting cultivation (milpa) in the Central Yucatan Peninsula. The analysis compares two 25 km2 study sites, differing by dominant land-cover class: (1) crops and (2) early to mid-late successional forest intermixed with less intensive, smallholder cultivated crops. Two vegetation indices were compared. NDVI provided a higher accuracy (83%) for distinguishing forest succession than the Boyd ratio (67%). Change trajectories from 1988 to 2005 show a distinct difference in study site land area converted from early successional forest to crops vs. mid-late successional forest to crops, suggesting that fallow periods are longer in the forest-dominated study site. The observed spatio-temporal variation in land-cover conversion in the milpa landscape, particularly forest fallow duration and total forest cover, deserves further investigation regarding the drivers of change in forest cover and shifting cultivation practices.
机译:次生生长阶段的检测对于了解广泛地理范围内的森林流失和恢复动态至关重要。这项研究结合了三种遥感技术:植被指数,主成分分析和纹理分析,以区分尤卡坦半岛中部小农转移耕作(milpa)的森林演替阶段和森林休耕长度。该分析比较了两个25平方公里的研究地点,不同地区的主要土地覆盖类型不同:(1)作物和(2)早至中晚期演替森林与强度较低的小农栽培作物混合在一起。比较了两个植被指数。与博伊德比率(67%)相比,NDVI提供了更高的区分森林演替的准确度(83%)。 1988年至2005年的变化轨迹表明,研究场地的土地面积从早期演替森林转变为作物,而中晚期演替森林转变为作物,这表明以森林为主的研究场所的休耕期更长。观察到的米尔巴景观中土地覆盖转变的时空变化,特别是森林休耕期和森林总覆盖率,值得进一步研究,以探讨森林覆盖率变化和耕作方式变化的驱动因素。

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