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Multi‐species occupancy models: an effective and flexible framework for studies of insect communities
Ecological Entomology ( IF 2.0 ) Pub Date : 2020-12-12 , DOI: 10.1111/een.12991 Bastien Mourguiart 1, 2 , Thibaut Couturier 2 , Yoan Braud 3 , Jérôme Mansons 4 , Damien Combrisson 5 , Aurélien Besnard 2
中文翻译：
多物种占用模型：一个有效而灵活的昆虫群落研究框架
更新日期：2020-12-12
Ecological Entomology ( IF 2.0 ) Pub Date : 2020-12-12 , DOI: 10.1111/een.12991 Bastien Mourguiart 1, 2 , Thibaut Couturier 2 , Yoan Braud 3 , Jérôme Mansons 4 , Damien Combrisson 5 , Aurélien Besnard 2
Affiliation
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- Entomological studies often aim to estimate species distribution, community composition, or species‐richness patterns. False absences can, however, bias these estimates and should consequently not be overlooked in insect studies. Multi‐species occupancy models (MSOMs) afford a flexible solution to cover the main topics in ecological entomology while dealing with detectability issues.
- We sampled Orthoptera communities at 81 mountain grasslands sites in France, using three sampling techniques: sighting, listening, and sweep netting. Five plots were sampled per site. This sampling design allowed MSOMs to be used to estimate richness, occupancy, and detection probabilities while accounting for the effect of covariates. We also used MSOMs to evaluate the efficiency of the survey design and to assess the effects of sampling optimisation.
- The estimates obtained for altitudinal distribution were reliable, with known species distributions confirming the relevance of MSOMs to model the effects of covariates on Orthoptera communities. The species‐specific detection probability was often less than one and varied with the detection technique used and the grass height, confirming the need to deal with detection issues in orthopteran studies.
- We estimated an inventory completeness superior to 0.80 for 93% of the sites, and an overall detection probability superior to 0.95 for 52% of the species, suggesting the sampling design was suitable for studying occupancy in Orthoptera communities. We also found that the sweep netting step may be omitted or the number of plots reduced without affecting species detectability or inventory completeness. Those recommendations may help to optimise future sampling strategies.
中文翻译：
多物种占用模型：一个有效而灵活的昆虫群落研究框架
- 昆虫学研究通常旨在估计物种分布，群落组成或物种丰富度模式。但是，虚假的缺席可能会使这些估计值产生偏差，因此在昆虫研究中应不容忽视。多物种占用模型（MSOM）提供了一种灵活的解决方案，可以覆盖生态昆虫学的主要主题，同时解决可检测性问题。
- 我们使用三种采样技术对法国81个高山草原站点的直翅目群落进行了采样：瞄准，倾听和扫网。每个站点采样了五个样地。这种采样设计使MSOM可以用来估计丰富度，占用率和检测概率，同时考虑到协变量的影响。我们还使用MSOM来评估调查设计的效率并评估抽样优化的效果。
- 垂直分布的估计值是可靠的，已知物种分布证实了MSOMs对协变量对直翅目群落影响建模的相关性。特定物种的检测概率通常小于1，并且随所用检测技术和草高的不同而变化，这证实了需要解决直翅类研究中的检测问题。
- 我们估计93％的地点的存货完整性优于0.80，总体检测概率超过52％的物种的0.95，这表明抽样设计适合研究直翅目群落的居住情况。我们还发现，在不影响物种可检测性或清单完整性的情况下，可以省去扫网步骤或减少地块数量。这些建议可能有助于优化未来的抽样策略。
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