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生态修复措施对中国红壤丘陵区细柄草微观分布的影响。

Effects of ecological restoration measures on the distribution of Dicranopteris dichotoma at the microscale in the red soil hilly region of China.

机构信息

State Key Laboratory for Subtropical Mountain Ecology of the Ministry of Science and Technology and Fujian Province, Fujian Normal University, Fuzhou, Fujian, China.

Institute of Geography, Fujian Normal University, Fuzhou, Fujian, China.

出版信息

PLoS One. 2018 Oct 24;13(10):e0204743. doi: 10.1371/journal.pone.0204743. eCollection 2018.

DOI:10.1371/journal.pone.0204743
PMID:30356244
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6200197/
Abstract

Little is known about the evaluation of ecological restoration measures using species distribution models (SDMs) at the microscale. This study investigated the effect of arbor-bush-herb mixed plantation (ABHMP) on the potential distribution of D. dichotoma using SDMs in the typical microtopographies of the red soil hilly region of China. We examined D. dichotoma growth, microtopography, and environment-related factors at the microscale. The percentages of microtopographies and D. dichotoma physiology factors increased in the order from the valley to the ridge in the D. dichotoma patches. The valley had milder temperatures, higher humidity, and more fertile soil than the ridge in the gullies. Microclimate factors were the most critical environmental factors affecting the distribution of D. dichotoma, followed by soil factors, whereas the microtopography factors had only a marginal effect. The predicted potential distribution of D. dichotoma under the ABHMP scenario was nearly 3-fold higher than the current distribution, and the suitable area was located mostly in the level trenches and the valley. ABHMP had a strong effect on the potential distribution of D. dichotoma, and SDMs proved to be a valuable tool for assessing ecological restoration measures at the microscale.

摘要

关于在微观尺度上使用物种分布模型(SDMs)评估生态恢复措施的效果,人们知之甚少。本研究采用 SDMs 调查了林-灌-草混交林(ABHMP)对中国典型红壤丘陵区节节麦潜在分布的影响。我们在微观尺度上研究了节节麦的生长、微地形和与环境相关的因素。在节节麦斑块中,微地形和节节麦生理因素的百分比从山谷到山脊呈递增趋势。与山脊相比,山谷中的温度更低、湿度更高、土壤更肥沃。微气候因素是影响节节麦分布的最关键环境因素,其次是土壤因素,而微地形因素只有边际效应。ABHMP 情景下节节麦的潜在分布预测值几乎是当前分布的 3 倍,适宜区域主要位于水平梯田和山谷。ABHMP 对节节麦的潜在分布有很强的影响,SDMs 被证明是评估微观尺度生态恢复措施的有效工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8060/6200197/78acfbea4abb/pone.0204743.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8060/6200197/f9f63c8f3fa8/pone.0204743.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8060/6200197/dc15fe01f69c/pone.0204743.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8060/6200197/ee79d15a530d/pone.0204743.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8060/6200197/0e3651eff815/pone.0204743.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8060/6200197/78acfbea4abb/pone.0204743.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8060/6200197/f9f63c8f3fa8/pone.0204743.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8060/6200197/dc15fe01f69c/pone.0204743.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8060/6200197/ee79d15a530d/pone.0204743.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8060/6200197/0e3651eff815/pone.0204743.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8060/6200197/78acfbea4abb/pone.0204743.g005.jpg

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