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生态位模型在豆科植物的纬度分布范围内与丰度和种群统计学表现呈现非线性关系。

Ecological niche models display nonlinear relationships with abundance and demographic performance across the latitudinal distribution of (Fabaceae).

作者信息

Baer Kathryn C, Maron John L

机构信息

Anchorage Forestry Sciences Laboratory USDA Forest Service Pacific Northwest Research Station Anchorage AK USA.

Department of Biological Sciences University of Montana Missoula MT USA.

出版信息

Ecol Evol. 2020 Jul 8;10(15):8251-8264. doi: 10.1002/ece3.6532. eCollection 2020 Aug.

DOI:10.1002/ece3.6532
PMID:32788976
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7417238/
Abstract

The potential for ecological niche models (ENMs) to accurately predict species' abundance and demographic performance throughout their geographic distributions remains a topic of substantial debate in ecology and biogeography. Few studies simultaneously examine the relationship between ENM predictions of environmental suitability and both a species' abundance and its demographic performance, particularly across its entire geographic distribution. Yet, studies of this type are essential for understanding the extent to which ENMs are a viable tool for identifying areas that may promote high abundance or performance of a species or how species might respond to future climate conditions. In this study, we used an ensemble ecological niche model to predict climatic suitability for the perennial forb across its geographic distribution. We then examined relationships between projected climatic suitability and field-based measures of abundance, demographic performance, and forecasted stochastic population growth (λ). Predicted climatic suitability showed a J-shaped relationship with abundance, where low-abundance populations were associated with low-to-intermediate suitability scores and abundance increased sharply in areas of high predicted climatic suitability. A similar relationship existed between climatic suitability and λ from the center to the northern edge of the latitudinal distribution. Patterns such as these, where density or demographic performance only increases appreciably beyond some threshold of climatic suitability, support the contention that ENM-predicted climatic suitability does not necessarily represent a reliable predictor of abundance or performance across large geographic regions.

摘要

生态位模型(ENMs)在整个地理分布范围内准确预测物种丰度和种群统计学表现的潜力,在生态学和生物地理学领域仍是一个备受争议的话题。很少有研究同时考察环境适宜性的ENM预测与物种丰度及其种群统计学表现之间的关系,尤其是在其整个地理分布范围内。然而,这类研究对于理解ENMs在何种程度上是识别可能促进物种高丰度或良好表现区域的可行工具,或者物种如何应对未来气候条件至关重要。在本研究中,我们使用了一个综合生态位模型来预测多年生草本植物在其地理分布范围内的气候适宜性。然后,我们考察了预测的气候适宜性与基于实地的丰度、种群统计学表现以及预测的随机种群增长(λ)指标之间的关系。预测的气候适宜性与丰度呈现出J形关系,低丰度种群与低到中等适宜性得分相关,而在预测气候适宜性高的区域丰度急剧增加。从纬度分布的中心到北缘,气候适宜性与λ之间也存在类似关系。像这样的模式,即密度或种群统计学表现仅在气候适宜性超过某个阈值时才显著增加,支持了这样一种观点,即ENM预测的气候适宜性不一定代表大地理区域内丰度或表现的可靠预测指标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfa6/7417238/db9f20f02c69/ECE3-10-8251-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfa6/7417238/cc96e9e4043b/ECE3-10-8251-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfa6/7417238/3fb55c45c683/ECE3-10-8251-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfa6/7417238/a7576f277f42/ECE3-10-8251-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfa6/7417238/db9f20f02c69/ECE3-10-8251-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfa6/7417238/cc96e9e4043b/ECE3-10-8251-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfa6/7417238/3fb55c45c683/ECE3-10-8251-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfa6/7417238/a7576f277f42/ECE3-10-8251-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfa6/7417238/db9f20f02c69/ECE3-10-8251-g004.jpg

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1
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2
Predicting population change from models based on habitat availability and utilization.基于栖息地可利用性和利用度模型预测种群变化。
Proc Biol Sci. 2019 Apr 24;286(1901):20182911. doi: 10.1098/rspb.2018.2911.
3
Incorporating local adaptation into forecasts of species' distribution and abundance under climate change.
入侵性欧亚水草的物种分布模型突出了数据质量的重要性以及判别准确性指标的局限性。
Ecol Evol. 2021 Aug 13;11(18):12567-12582. doi: 10.1002/ece3.8002. eCollection 2021 Sep.
将本地适应纳入气候变化下物种分布和丰度预测中。
Glob Chang Biol. 2019 Mar;25(3):775-793. doi: 10.1111/gcb.14562. Epub 2019 Jan 24.
4
Less favourable climates constrain demographic strategies in plants.较为恶劣的气候限制了植物的种群策略。
Ecol Lett. 2017 Aug;20(8):969-980. doi: 10.1111/ele.12794. Epub 2017 Jun 13.
5
Habitat suitability and demography, a time-dependent relationship.栖息地适宜性与种群统计学,一种时间依赖关系。
Ecol Evol. 2017 Mar 2;7(7):2214-2222. doi: 10.1002/ece3.2821. eCollection 2017 Apr.
6
Do Ecological Niche Models Accurately Identify Climatic Determinants of Species Ranges?生态位模型能否准确识别物种分布范围的气候决定因素?
Am Nat. 2016 Apr;187(4):423-35. doi: 10.1086/685387. Epub 2016 Feb 22.
7
Does probability of occurrence relate to population dynamics?事件发生的概率与种群动态有关吗?
Ecography. 2014 Dec 1;37(12):1155-1166. doi: 10.1111/ecog.00836.
8
The importance of biologically relevant microclimates in habitat suitability assessments.生物相关微气候在栖息地适宜性评估中的重要性。
PLoS One. 2014 Aug 12;9(8):e104648. doi: 10.1371/journal.pone.0104648. eCollection 2014.
9
Predicting plant invasions under climate change: are species distribution models validated by field trials?预测气候变化下的植物入侵:基于野外试验验证的物种分布模型?
Glob Chang Biol. 2014 Sep;20(9):2800-14. doi: 10.1111/gcb.12531. Epub 2014 Apr 26.
10
Ecological niche structure and rangewide abundance patterns of species.物种的生态位结构和分布范围丰富度模式。
Biol Lett. 2013 Feb 23;9(1):20120637. doi: 10.1098/rsbl.2012.0637. Epub 2012 Nov 7.