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Methods in Ecology and Evolution最新文献

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Towards ‘digital ecology’: Advances in integrating artificial intelligence from data generation to ecological insight 迈向“数字生态”:人工智能从数据生成到生态洞察的整合进展
IF 6.3 2区 环境科学与生态学 Q1 ECOLOGY Pub Date : 2026-02-03 DOI: 10.1111/2041-210x.70243
Devis Tuia, Sara Beery, Blair R. Costelloe, Ruth Y. Oliver, Nicolas Lecomte

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引用次数: 0
Towards ‘digital ecology’: Advances in integrating artificial intelligence from data generation to ecological insight 迈向“数字生态”:人工智能从数据生成到生态洞察的整合进展
IF 6.3 2区 环境科学与生态学 Q1 ECOLOGY Pub Date : 2026-02-03 DOI: 10.1111/2041-210x.70243
Devis Tuia, Sara Beery, Blair R. Costelloe, Ruth Y. Oliver, Nicolas Lecomte

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引用次数: 0
Early warning signal for river-borne diseases with almost no data 河流传播疾病的早期预警信号几乎没有数据
IF 6.3 2区 环境科学与生态学 Q1 ECOLOGY Pub Date : 2025-12-31 DOI: 10.1111/2041-210x.70199
Pouria Ramazi, Prajwal Bende, Arezoo Haratian, Russell Greiner, Mark A. Lewis

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引用次数: 0
Correction to: ‘FEISTY Fortran library and R package to integrate fish and fisheries with biogeochemical models’ 更正:“FEISTY Fortran库和R包集成鱼类和渔业与生物地球化学模型”
IF 6.3 2区 环境科学与生态学 Q1 ECOLOGY Pub Date : 2025-12-26 DOI: 10.1111/2041-210x.70233

Zhao, Y., van Denderen, P. D., Denéchère, R., Falciani, J. E., Jacobsen, N. S., Konstantinopoulos, T., Ottmann, D., Petrik, C. M., Soetaert, K., Stock, C. A., & Andersen, K. H. (2025). FEISTY Fortran library and R package to integrate fish and fisheries with biogeochemical models. Methods in Ecology and Evolution, 16, 40–48. https://doi.org/10.1111/2041-210x.14465.

In the Acknowledgements, one of the central funding bodies was omitted. The correct Acknowledgements section appears below:

We thank Jessica Luo for discussions and advice and YiCheng Teng for providing suggestions and comments through an internal review. This work was funded by the European Union under grant agreement no. 101083922 (OceanICU) and UK Research and Innovation (UKRI) under the UK government's Horizon Europe funding guarantee (grant number 10054454, 10063673, 10064020, 10059241, 10079684, 10059012, 10048179). Views and opinions expressed are, however, those of the author(s) only and do not necessarily reflect those of the European Union or European Research Executive Agency. Neither the European Union nor the granting authority can be held responsible for them. It was further funded by EU grants 101024886 (DemFish) and 101081273 (NECCTON), by the Independent Research Fund Denmark ‘Future Oceans’ 102600198B, and by NOAA CPO MAPP NA20OAR4310438, NA20OAR4310441 and NA20OAR4310442.

We apologize for this error.

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引用次数: 0
A capture–recapture framework for combining biologging data with physical captures to decompose and estimate demographic rates: Simulations across life cycles and application to polar bears 结合生物数据和物理捕获来分解和估计人口比率的捕获-再捕获框架:跨生命周期的模拟及其对北极熊的应用
IF 6.3 2区 环境科学与生态学 Q1 ECOLOGY Pub Date : 2025-12-26 DOI: 10.1111/2041-210x.70229
Marwan Naciri, Jon Aars, Magnus Andersen, Andrew E. Derocher, Øystein Wiig, Sarah Cubaynes

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引用次数: 0
A capture–recapture framework for combining biologging data with physical captures to decompose and estimate demographic rates: Simulations across life cycles and application to polar bears 结合生物数据和物理捕获来分解和估计人口比率的捕获-再捕获框架:跨生命周期的模拟及其对北极熊的应用
IF 6.3 2区 环境科学与生态学 Q1 ECOLOGY Pub Date : 2025-12-26 DOI: 10.1111/2041-210x.70229
Marwan Naciri, Jon Aars, Magnus Andersen, Andrew E. Derocher, Øystein Wiig, Sarah Cubaynes

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引用次数: 0
Correction to ‘Optimizing image capture for computer vision-powered taxonomic identification and trait recognition of biodiversity specimens’ 修正“优化生物多样性标本的计算机视觉分类识别和特征识别图像捕获”
IF 6.3 2区 环境科学与生态学 Q1 ECOLOGY Pub Date : 2025-12-25 DOI: 10.1111/2041-210x.70234

East, A., Campolongo, E. G., Meyers, L., Rayeed, S. M., Stevens, S., Zarubiieva, I., Fluck, I. E., Girón, J. C., Jousse, M., Lowe, S., Perry, K. I., Betancourt, I., Charney, N., Donoso, E., Fox, N., Landsbergen, K. J., Nepovinnykh, E., Ramirez, M., Singh, P., & Record, S. (2025). Optimizing image capture for computer vision-powered taxonomic identification and trait recognition of biodiversity specimens. Methods in Ecology and Evolution, 16, 2260–2275. https://doi.org/10.1111/2041-210X.70140

In the paper by East et al. (2025), the affiliation of Dr. Ekaterina Nepovinnykh was incomplete. The correct affiliation should read:

‘Department of Computer Science, Rensselaer Polytechnic Institute, Troy, NY, USA; and Computer Vision and Pattern Recognition Laboratory, LUT University, Lappeenranta, Finland’.

We apologize for this error.

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引用次数: 0
Can hierarchical modelling of co-occurrence data provide accurate inference into species interactions? 共现数据的分层模型能否为物种相互作用提供准确的推断?
IF 6.3 2区 环境科学与生态学 Q1 ECOLOGY Pub Date : 2025-12-23 DOI: 10.1111/2041-210x.70210
Joshua P. Twining, Kenneth F. Kellner

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引用次数: 0
theRmalUAV: An R package to clean and correct thermal UAV data for accurate land surface temperatures theRmalUAV:一个R软件包,用于清洁和纠正热无人机数据,以获得准确的地表温度
IF 6.3 2区 环境科学与生态学 Q1 ECOLOGY Pub Date : 2025-12-19 DOI: 10.1111/2041-210x.70196
Christophe Metsu, Wouter H. Maes, Sam Ottoy, Koenraad Van Meerbeek

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引用次数: 0
Animal geolocation with convolution algorithms in Julia and R via Wahoo.jl 在Julia和R中使用卷积算法进行动物地理定位
IF 6.3 2区 环境科学与生态学 Q1 ECOLOGY Pub Date : 2025-12-18 DOI: 10.1111/2041-210x.70185
Edward Lavender, Carlo Albert, Andreas Scheidegger

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引用次数: 0
期刊
Methods in Ecology and Evolution
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