Community composition exceeds area as a predictor of long-term conservation value.
Community composition exceeds area as a predictor of long-term conservation value.
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DOI：
10.1371/journal.pcbi.1010804
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发表时间：
2023-01
影响因子：
4.3
通讯作者：
中科院分区：
文献类型：
--
作者：
保护生物多样性通常需要决定哪些地点需要优先保护。然而，预测生境丧失的影响是一项重大挑战，因为影响可能在空间和时间上远离扰动。在这里，我们研究的长期影响的栖息地丧失的机制metacompatibility模型。我们发现，网站面积是一个长期的，区域规模的预测局部扰动。知识的组成独特性（平均站点之间的Bray-Curtis相异性）的删除社区可以显着提高对区域组合的影响的预测，即使当生物反应发挥了相当大的空间或时间距离从初始扰动。将该模型拟合到两个经验数据集，我们表明这一结论在经验相关的参数范围内成立。我们的研究结果有力地表明，现场面积是不足以衡量保护的优先事项，组成的独特性分析，允许以低成本提高优先级。由于人类活动对生态系统的一系列压力，物种正以比自然背景高1000 - 10000倍的速度灭绝。保护生物多样性经常涉及局部干预，以保护物种群落免受此类人为影响。由于生态系统的复杂性和适应性，了解生物多样性的地方影响和区域规模模式之间的关系是一项重大挑战。我们使用一个复杂的生态组合的计算模型，以前显示重现各种关键的宏观生态模式，研究长期影响的局部扰动区域尺度生态系统。使用这种实验方法，我们通过参考当地遗址破坏后区域范围内物种的损失来评估不同地点的“保护价值”。我们发现，虽然受影响的网站的面积和组成的稀有性的社区，它支持的长期保护价值的重要预测因素，组成是一个更重要的预测。鉴于这一结果，我们认为，当地的组成应给予更大的权重时，评估保护的优先事项和设计保护和管理方案。
Conserving biodiversity often requires deciding which sites to prioritise for protection. Predicting the impact of habitat loss is a major challenge, however, since impacts can be distant from the perturbation in both space and time. Here we study the long-term impacts of habitat loss in a mechanistic metacommunity model. We find that site area is a poor predictor of long-term, regional-scale extinctions following localised perturbation. Knowledge of the compositional distinctness (average between-site Bray-Curtis dissimilarity) of the removed community can markedly improve the prediction of impacts on regional assemblages, even when biotic responses play out at substantial spatial or temporal distance from the initial perturbation. Fitting the model to two empirical datasets, we show that this conclusions holds in the empirically relevant parameter range. Our results robustly demonstrate that site area alone is not sufficient to gauge conservation priorities; analysis of compositional distinctness permits improved prioritisation at low cost. Species are being driven extinct at a rate 1, 000–10, 000 times greater than natural background due to a suite of anthropogenic pressures on ecosystems. Conservation of biodiversity frequently involves localised interventions to protect communities of species from such anthropogenic impacts. Due to the complexity and adaptability of ecosystems, understanding the relationship between local impacts and regional-scale patterns in biodiversity is a major challenge. We use a computational model of a complex ecological assemblage, previously shown to reproduce a variety of key macroecological patterns, to study the long-term impacts of localised perturbation on regional scale ecosystems. Using this experimental approach, we characterise the ‘conservation value’ of different locations by reference to the loss of species at the regional scale following local site destruction. We find that, while both the area of the impacted site and the compositional rarity of the community it supports are important predictors of long-term conservation value, composition is a more important predictor. In view of this result, we argue that local composition should be given greater weight when assessing conservation priorities and designing conservation and management programmes.
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影响因子：
16.6
作者：
O'Sullivan JD;Terry JCD;Rossberg AG
通讯作者：
Rossberg AG
DOI：
10.1073/pnas.1915313117
发表时间：
2020-06-23
影响因子：
11.1
作者：
Pearce, Michael T.;Agarwala, Atish;Fisher, Daniel S.
通讯作者：
Fisher, Daniel S.
影响因子：
16.6
作者：
Livingston, George;Matias, Miguel;Mouquet, Nicolas
通讯作者：
Mouquet, Nicolas
影响因子：
8.8
作者：
O'Sullivan, Jacob D.;Knell, Robert J.;Rossberg, Axel G.
通讯作者：
Rossberg, Axel G.
影响因子：
4.3
作者：
Roy, Felix;Barbier, Matthieu;Bunin, Guy
通讯作者：
Bunin, Guy