亚高山草地植物群落草和灌木覆盖率近期变化的空间动态和驱动因素

IF 1.2 4区 环境科学与生态学 Q4 ECOLOGY
Xiaobin Hua, Ralf Ohlemüller, Pascal Sirguey
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引用次数: 0

摘要

近年来,灌木侵蚀草地生态系统的现象在世界各地越来越多地被观察到和记录下来。草-灌木过渡会影响草地植物群落的多样性、丰度和功能完整性,因此了解这些过程背后的驱动因素至关重要。虽然人们经常研究潜在的环境驱动因素,但对邻近灌木密度的空间模式在局部灌木蚕食中的作用研究较少。本研究旨在调查邻近灌木密度和地形作为新西兰典型山地草地生态系统灌木蚕食潜在关键驱动因素的相对作用。我们使用 SPOT(Satellite Pour l'Observation,卫星观测)6/7 多光谱图像拍摄了 2013 年和 2017 年的一天,以计算这一时期灌木/草覆盖率的近期变化。利用归一化植被指数(NDVI),我们将研究区域划分为草地和灌木地,并量化了研究期间这两种土地覆被类型的范围和变化。然后,我们研究了土地覆被的变化与邻近灌木密度、海拔和地势之间的关系。在 2013 年至 2017 年期间,研究区域的灌木林地总体每年增加 +0.35%,草地每年减少 -0.43%。植被类型发生变化的地点更可能位于中海拔(海拔约 600-1000 米)和朝西的斜坡上。灌木扩展率最高的地区位于温暖、朝北的斜坡上,海拔低于 900 米。我们发现,邻近地区灌木密度与当地灌木蚕食的相关程度存在明显的临界点:只有当邻近地区灌木覆盖率超过 40% 时,当地灌木蚕食才会发生,并在约 60% 时达到峰值,这表明一旦灌木覆盖率达到一定水平,草-灌木系统就有可能发生突然转变。我们的研究为南半球提供了新的证据,证明地形和邻近灌木密度对山地草地近期灌木蚕食率的影响是可测量和相互作用的,即使在短时间内也是如此。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Spatial dynamics and drivers of recent changes in grass and shrub cover in submontane grassland plant communities

Spatial dynamics and drivers of recent changes in grass and shrub cover in submontane grassland plant communities

Shrub encroachment into grassland ecosystems has been increasingly observed and documented worldwide in recent years. A grass–shrub transition can affect the diversity, abundance and functional integrity of grassland plant communities and understanding the drivers behind these processes is therefore crucial. While potential environmental drivers are often investigated, the role of spatial patterns of neighbouring shrub density in local shrub encroachment has been less well studied. The aim of this study is to investigate the relative role of neighbouring shrub density and topography as potential key drivers of shrub encroachment in a typical montane grassland ecosystem in New Zealand. We used the SPOT (Satellite Pour l’Observation) 6/7 multispectral imagery captured on one day in 2013 and in 2017 to calculate recent changes in shrub/grass cover during this period. Using the Normalised Difference Vegetation Index (NDVI), we classified the study area into grassland and shrubland and quantified the extent and change in these two land-cover types over the study period. We then investigated the relationships between changes in land cover and neighbourhood shrub density, elevation and aspect. Between 2013 and 2017, there was an overall shrubland increase of + 0.35% of the study area per year, and grassland decrease of −0.43% per year. Locations at which any change in vegetation type occurred were more likely to be at mid-elevation (c. 600–1,000 m a.s.l.) and on west-facing slopes. Highest shrub expansion rates were observed on areas that were on warmer, north-facing slopes and at elevations below 900 m a.s.l.; this is consistent with areas below the pre-human, natural treeline which is estimated to be at very similar elevations. We found a marked threshold in the degree to which neighbourhood shrub density correlated with local shrub encroachment: local shrub encroachment only occurred when shrub cover in the neighbourhood exceeded 40% and peaked at c. 60% indicating the potential for a sudden grass–shrub regime shift once shrub cover reaches a certain level. Our study provides new evidence from the Southern Hemisphere of a measurable and interacting effect of topography and neighbourhood shrub density on recent shrub encroachment rates in montane grasslands even over short time periods.

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来源期刊
Community Ecology
Community Ecology 环境科学-生态学
CiteScore
2.90
自引率
5.90%
发文量
51
审稿时长
>36 weeks
期刊介绍: Community Ecology, established by the merger of two ecological periodicals, Coenoses and Abstracta Botanica was launched in an effort to create a common global forum for community ecologists dealing with plant, animal and/or microbial communities from terrestrial, marine or freshwater systems. Main subject areas: (i) community-based ecological theory; (ii) modelling of ecological communities; (iii) community-based ecophysiology; (iv) temporal dynamics, including succession; (v) trophic interactions, including food webs and competition; (vi) spatial pattern analysis, including scaling issues; (vii) community patterns of species richness and diversity; (viii) sampling ecological communities; (ix) data analysis methods.
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