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The long-term ecological research (LTER) network: Relevance, current status, future perspective and examples from marine, freshwater and terrestrial long-term observation

ECOLOGICAL INDICATORS (2016)

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ECOLOGICAL INDICATORS

卷 65, 期 -, 页码 1-3

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ELSEVIER SCIENCE BV

DOI: 10.1016/j.ecolind.2016.01.040

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Biodiversity Conservation Environmental Sciences

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Article Ecology

The benefits of counting butterflies: recommendations for a successful citizen science project

Elisabeth Kuehn, Marc Becker, Alexander Harpke, Ingolf Kuehn, Christian Kuhlicke, Thomas Schmitt, Josef Settele, Martin Musche

Summary: Citizen science projects are popular tools to collect biodiversity data in various scientific fields. However, little is known about the benefits and motivations of participants, as well as their expectations. Using the German Butterfly Monitoring project as an example, this study found that most participants had a high educational level and were close to retirement. Their motivation to join the project was to preserve the natural environment and contribute to scientific knowledge. Participants benefitted from enhancing their knowledge about butterflies and had an intrinsic sense of working for a greater good. The study also highlighted the importance of good communication and intrinsic motivation in establishing successful citizen science projects.

ECOLOGY AND SOCIETY (2022)

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Article Ecology

Effects of Climate and Atmospheric Nitrogen Deposition on Early to Mid-Term Stage Litter Decomposition Across Biomes

TaeOh Kwon, Hideaki Shibata, Sebastian Kepfer-Rojas, Inger K. Schmidt, Klaus S. Larsen, Claus Beier, Bjorn Berg, Kris Verheyen, Jean-Francois Lamarque, Frank Hagedorn, Nico Eisenhauer, Ika Djukic

Summary: Litter decomposition is influenced by environmental factors, substrate quality, microbial communities, and N deposition. Climate impacts on global-scale decomposition are general but become more significant as decomposition progresses, while N deposition effects are litter-specific and significant in certain biomes. Climate changes are expected to increase litter mass loss, while N deposition changes may dampen climate-driven increases in decomposition, depending on biome and substrate stage.

FRONTIERS IN FORESTS AND GLOBAL CHANGE (2021)

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Article Biodiversity Conservation

Identification of critical ecological restoration and early warning regions in the five-lakes basin of central Yunnan

Yongcui Lan, Jinliang Wang, Qianwei Liu, Fang Liu, Lanfang Liu, Jie Li, Mengjia Luo

Summary: This study focuses on the five major plateau lake basins in central Yunnan, China, and constructs an ecological security pattern using the source-resistance surface-corridor-pinch point framework. The study simulates land use/cover change in the region and identifies early warning regions where future urban expansion poses a threat to current ecological source areas and corridors.

ECOLOGICAL INDICATORS (2024)

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Article Biodiversity Conservation

Active microeukaryotes hold clues of effects of global warming on benthic diversity and connectivity in the coastal sediments

Pingping Huang, Feng Zhao, Bailing Zhou, Kuidong Xu

Summary: This study investigates the distribution of benthic microeukaryotes in the China Seas and finds that they can stride over the ecological barrier of 32 degrees N. The study also highlights the significant influence of depth, temperature, and latitude on communities in the China Seas.

ECOLOGICAL INDICATORS (2024)

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Article Biodiversity Conservation

Which bird traits most affect the goodness-of-fit of species distribution models?

Federico Morelli, Yanina Benedetti, Jesse Stanford, Leszek Jerzak, Piotr Tryjanowski, Paolo Perna, Riccardo Santolini

Summary: Species distribution models (SDMs) are numerical tools used for predicting species' spatial distribution. This study found that ecological characteristics, such as habitat specialization, play a role in improving the accuracy of SDMs.

ECOLOGICAL INDICATORS (2024)

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Article Biodiversity Conservation

Exploring the spatiotemporal evolution dynamic and influencing factor of green ecology transition for megacities: A case study of Chengdu, China

Xiaoxuan Wu, Hang Liu, Wei Liu

Summary: Global climate change, urbanization, and economic development have increased the need for sustainable human development, urban ecological governance, and low-carbon energy transformation. This study analyzes the green ecological transition in Chengdu based on panel data from 2010 to 2020, exploring its spatiotemporal evolution and key factors. The results show an overall upward trend in Chengdu's green ecological development and positive spatial autocorrelation in certain districts.

ECOLOGICAL INDICATORS (2024)

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Article Biodiversity Conservation

A multi-indicator approach to compare the sustainability of organic vs. integrated management of grape production

Castaldi Simona, Formicola Nicola, Mastrocicco Micol, Morales Rodriguez Carmen, Morelli Raffaella, Prodorutti Daniele, Vannini Andrea, Zanzotti Roberto

Summary: Sustainable agricultural practices are increasingly important for global and national environmental policies and economy. This study compared the sustainability of grape production under integrated and organic management using multiple indicators. The results showed that organic management was more beneficial for most environmental aspects of the agroecosystem compared to integrated management, without affecting grape yield.

ECOLOGICAL INDICATORS (2024)

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Article Biodiversity Conservation

Comparing ground below-canopy and satellite spectral data for an improved and integrated forest phenology monitoring system

Gaia Vaglio Laurin, Alexander Cotrina-Sanchez, Luca Belelli-Marchesini, Enrico Tomelleri, Giovanna Battipaglia, Claudia Cocozza, Francesco Niccoli, Jerzy Piotr Kabala, Damiano Gianelle, Loris Vescovo, Luca Da Ros, Riccardo Valentini

Summary: Phenology monitoring is important for understanding forest functioning and climate impacts. This research compares the phenological behavior of European beech forests using Tree-Talker (TT+) and Sentinel 2 satellite data. The study finds differences in the information derived by the two sensor types, particularly in terms of season length, phenology changepoints, and leaf period variability. TT+ with its higher temporal resolution demonstrates precision in capturing the phenological changepoints, especially when satellite image availability is limited.

ECOLOGICAL INDICATORS (2024)

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Article Biodiversity Conservation

Assessing the coupling coordination dynamics between land use intensity and ecosystem services in Shanxi's coalfields, China

Huanhuan Pan, Ziqiang Du, Zhitao Wu, Hong Zhang, Keming Ma

Summary: The land use and cover changes resulting from coal mining activities and ecological restoration have had a significant impact on ecosystem services in mining areas. This study investigates the relationship between ecosystem services and land use intensity in coal mining areas, emphasizing the importance of understanding this interdependence for balanced human-land system development. The research examines the evolving relationship across different reclamation stages in Shanxi, China, using a coupling coordination degree model. The findings suggest the need for timely and judicious reclamation of coalfields, considering the land's bearing capacity.

ECOLOGICAL INDICATORS (2024)

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Article Biodiversity Conservation

An investigation on the impact of blue and green spatial pattern alterations on the urban thermal environment: A case study of Shanghai

Jingjuan He, Yijun Shi, Lihua Xu, Zhangwei Lu, Mao Feng

Summary: This study examines the spatial interplay between changes in the blue-green spatial distribution and modifications in land surface temperature grades in Shanghai. The findings reveal that the transformation of the blue-green spatial pattern differs between different sectors of the city, and the impact on the thermal environment varies spatially.

ECOLOGICAL INDICATORS (2024)

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Article Biodiversity Conservation

Prediction of phytoplankton biomass and identification of key influencing factors using interpretable machine learning models

Yi Xu, Di Zhang, Junqiang Lin, Qidong Peng, Xiaohui Lei, Tiantian Jin, Jia Wang, Ruifang Yuan

Summary: This study analyzed the response relationship between phytoplankton growth and water environmental parameters in the Middle Route of the South-to-North Water Diversion Project in China using long-term monitoring data and machine learning models. The results revealed the differences between monitoring sites and identified the key parameters that affect phytoplankton growth.

ECOLOGICAL INDICATORS (2024)

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