Habitat suitability evaluation for Paeonia decomposita, based on a MaxEnt model

IF 0.7 4区 环境科学与生态学 Q4 BIODIVERSITY CONSERVATION Eco Mont-Journal on Protected Mountain Areas Research Pub Date : 2021-01-01 DOI:10.1553/eco.mont-14-1s25
Peihao Peng, Yu Feng
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引用次数: 0

Abstract

Paeonia decomposita is on the IUCN’s Red List of endangered species, and occurs only in the northwest part of Sichuan Province, China. For the effective protection of the species, it is important to evaluate the suitability of potential habitats for P. decomposita and natural factors that influence the species. Based on the actual distribution points of P. decomposita in northwest Sichuan from 2016 to 2018, the Maximum Entropy Model (MaxEnt) was used to analyse the main factors affecting its habitat, and to predict suitable habitats. The results show that: (1) the model has high accuracy and is suitable for the prediction and evaluation of habitat suitability for P. decomposita; (2) temperature, slope, precipitation and moisture index will all greatly affect P. decomposita’s distribution; (3) the areas that are potentially suitable for P. decomposita are mainly in Mianyang, Aba, Ganzi and Liangshan, which are greatly affected by human activities; effective protection measures have not been taken. It is proposed that new reserves for the introduction of P. decomposita should be established in areas of high or moderately high suitability. A programme of cultivation of this rare species should also be set up.
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基于MaxEnt模型的白芍生境适宜性评价
白芍是世界自然保护联盟濒危物种红色名录中的一种,只生长在中国四川省西北部。为了有效地保护该物种,必须对潜在生境的适宜性和影响该物种的自然因素进行评估。以2016 - 2018年川西北地区腐解木犀的实际分布点为基础,利用最大熵模型(MaxEnt)分析了影响腐解木犀生境的主要因素,并对其适宜生境进行了预测。结果表明:(1)该模型具有较高的精度,适用于分叶假桫椤生境适宜性的预测和评价;(2)温度、坡度、降水和水分指数都对腐解林分的分布有较大影响;(3)主要以绵阳、阿坝、甘孜和梁山为潜在适宜区,受人类活动影响较大;没有采取有效的防护措施。建议在高适宜性或中高适宜性的地区建立新的分蘖松引种保护区。还应制定一项培育这种稀有物种的计划。
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来源期刊
Eco Mont-Journal on Protected Mountain Areas Research
Eco Mont-Journal on Protected Mountain Areas Research BIODIVERSITY CONSERVATION-ECOLOGY
CiteScore
1.20
自引率
0.00%
发文量
1
审稿时长
>12 weeks
期刊介绍: eco.mont offers a platform specifically for scientists and practitioners working in and on protected mountain areas in Europe and overseas.Target audiences of the journal are scientists from all related disciplines, managers of protected areas and an interested public including practitioners, visitors, teachers, etc.
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