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A Universal Canopy Gap Fraction Model for forests with Various Tree Distributions Based on Nilson's Models Considering Directional Overlaps Among Crowns

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SSRN 2023年

作者： Geng, Jun Roujean, Jean-Louis Kuusk, Andres Pang, Yong Tu, Lili Zhang, Teng Chen, Jing M. Hefei University of Technology Hefei230009 China Toulouse III University Toulouse31400 France Department of Economics Estonia Institute of Forest Resource Information Technique Chinese Academy of Forestry Beijing100091 China College of Resources and Environment Anhui Agricultural University Hefei23000 China School of Geographical Sciences Fujian Normal University Fuzhou350108 China Department of Geography and Program in Planning University of Toronto TorontoONM5S 3G3 Canada

An accurate estimation of forest canopy gap fraction (GF) is a prerequisite for remote sensing retrievals of several associated canopy parameters e.g. leaf area index, fAPAR (fraction of photosynthetically active radiation absorbed by the canopy), clumping index, etc. A universal canopy GF model for forests is required for various tree distribution patterns on flat and slopping terrains, yet existing models so far do not possess all these abilities simultaneously. For example, the Neyman type-A model, the Poisson model, and the hypergeometric model are suitable only to forests with clumped, random, and regular tree distributions, respectively. In this regard, the suite of Nilson’s canopy GF models developed for forests with various tree distributions have the potential to become universal models. For this purpose, this study attempts to overcome the following limitations of these models to make them be true universally applicable: (1) canopy GF calculated by the Nilson’s models is mostly accurate for various tree distributions at nadir whereas at off-nadir, it is either underestimated for clumped tree distributions or overestimated for regular tree distributions at off-nadir. And (2) Nilson’s models were developed for flat terrains and untested for sloping terrains. Herein, two Nilson’s models are modified by expanding the calculation of overlap among crowns (OAC) at nadir to the whole hemispherical space. The results show that all canopy GF simulations in the new models (New91 and New99) show higher consistency with ray-tracing results than those in original Nilson’s models in all directions, highlighting the need to consider directional OAC. The modified models (especially for New99) are suitable for various tree distributions on flat and slopping terrains and therefore increased the universality of the original Nilson’s models suitable for a wide-range of remote sensing applications. New99 can be deemed as a universal canopy GF model for forests with various tree

关键词： Remote sensing

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Effect of climate on traits of dominant and rare tree species in the world’s forests

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Nature Communications 2025年第1期16卷 1-15页

作者： Iris Hordijk Chelsea Chisholm Daniel S. Maynard Thomas W. Crowther Lourens Poorter Gert-Jan Nabuurs Frans Bongers Mathieu Decuyper Douglas Sheil Jingjing Liang Mo Zhou Minjee Park Peter B. Reich Sergio de-Miguel Javier G. P. Gamarra Han Y. H. Chen Susan K. Wiser Hans Pretzsch Alain Paquette Eric B. Searle Nicolas Picard Bruno Hérault Plinio Sist Jean-Francois Bastin Giorgio Alberti Meinrad Abegg Yves C. Adou Yao Angelica M. Almeyda Zambrano Braulio V. Alvarado Edgar Ortiz-Malavasi Esteban Alvarez-Davila Patricia Alvarez-Loayza Kuswata Kartawinata Nigel C. A. Pitman Luciana F. Alves Iêda Amaral Christian Ammer Peter Schall Clara Antón-Fernández Alejandro Araujo-Murakami Luzmila Arroyo Timothy Killeen Alexander Parada-Gutierrez Valerio Avitabile Gerardo A. Aymard C Timothy Baker Roel Brienen Simon Lewis Oliver L. Phillips Olaf Banki Hans ter Steege Jorcely Barroso Meredith L. Bastian Luca Birigazzi Philippe Birnbaum Thomas Ibanez Robert Bitariho Pascal Boeckx Olivier Bouriaud Pedro H. S. Brancalion Ricardo G. Cesar Vanessa Moreno Susanne Brandl Francis Q. Brearley Eben N. Broadbent Helge Bruelheide Roberto Cazzolla Gatti Goran Cesljar Robin L. Chazdon Cory Merow John Herbohn Andrew Robert Marshall Sharif A. Mukul Emil Cienciala Alexander C. Vibrans Connie J. Clark John R. Poulsen David B. Clark Gabriel Colletta David Coomes Fernando Cornejo Valverde Jose J. Corral-Rivas Philip Crim Jonathan Cumming Selvadurai Dayanandan André L. de Gasper Géraldine Derroire Aurélie Dourdain Ben DeVries Ilija Djordjevic Radovan Nevenic Jiri Dolezal Nestor Laurier Engone Obiang Brian Enquist Brian Maitner Teresa Eyre Victor Neldner Michael Ngugi Adandé Belarmain Fandohan Tom M. Fayle Leandro V. Ferreira Ted R. Feldpausch Leena Finér Markus Fischer Christine Fletcher Lorenzo Frizzera Damiano Gianelle Henry B. Glick Peter Umunay David Harris Axel Dalberg Poulsen Andrew Hector Andreas Hemp Annika Hillers Eurídice N. Honorio Coronado Cang Hui Hyunkook Cho Ilbin Jung Nobuo Imai Jacek Oleksyn Andrzej M. Jagodzinski Bogdan Jaroszewicz Vivia Institute of Integrative Biology ETH Zurich (Swiss Federal Institute of Technology) Zurich Switzerland Wageningen University and Research Wageningen The Netherlands Department of Genetics Evolution and Environment University College London London UK Faculty of Environmental Sciences and Natural Resource Management Norwegian University of Life Sciences Ås Norway Department of Forestry and Natural Resources Purdue University West Lafayette IN USA Department of Agriculture Forestry and Bioresources Seoul National University Seoul South Korea Department of Forest Resources University of Minnesota St Paul MN USA Hawkesbury Institute for the Environment Western Sydney University Penrith NSW Australia Department of Agricultural and Forest Sciences and Engineering University of Lleida Lleida Spain Forest Science and Technology Centre of Catalonia (CTFC) Solsona Spain Forestry Division Food and Agriculture Organization of the United Nations Rome Italy Faculty of Natural Resources Management Lakehead University Thunder Bay ON Canada Manaaki Whenua–Landcare Research Lincoln New Zealand Chair for Forest Growth and Yield Science TUM School for Life Sciences Technical University of Munich Munich Germany Centre for Forest Research Université du Québec à Montréal Montréal QC Canada GIP ECOFOR Paris France CIRAD Forêts et Sociétés Montpellier France Forêts et Sociétés Univ Montpellier CIRAD Montpellier France Gembloux Agro Bio-Tech University of Liege Liege Belgium Faculty of Science and Technology Free University of Bolzano Bolzano Italy Department of Agricultural Food Environmental and Animal Sciences University of Udine Udine Italy Swiss Federal Institute for Forest Snow and Landscape Research WSL Birmensdorf Switzerland UFR Biosciences University Félix Houphouët-Boigny Abidjan Côte d’Ivoire Spatial Ecology and Conservation Laboratory Center for Latin American Studies University of Florida Gainesville FL USA Forestry School Tecnológico de Costa

Species’ traits and environmental conditions determine the abundance of tree species across the globe. The extent to which traits of dominant and rare tree species differ remains untested across a broad environmental range, limiting our understanding of how species traits and the environment shape forest functional composition. We use a global dataset of tree composition of >22,000 forest plots and 11 traits of 1663 tree species to ask how locally dominant and rare species differ in their trait values, and how these differences are driven by climatic gradients in temperature and water availability in forest biomes across the globe. We find three consistent trait differences between locally dominant and rare species across all biomes; dominant species are taller, have softer wood and higher loading on the multivariate stem strategy axis (related to narrow tracheids and thick bark). The difference between traits of dominant and rare species is more strongly driven by temperature compared to water availability, as temperature might affect a larger number of traits. Therefore, climate change driven global temperature rise may have a strong effect on trait differences between dominant and rare tree species and may lead to changes in species abundances and therefore strong community reassembly.

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Advanced Blb Disease Assessment in Paddy Fields Using Multispectral Uav Data and Patch Fragmentation Metrics

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SSRN 2024年

作者： Wijayanto, Arif Kurnia Prasetyo, Lilik Budi Hudjimartsu, Sahid Agustian Sigit, Gunardi Hongo, Chiharu Department of Forest Resource Conservation and Ecotourism Faculty of Forestry and Environment IPB University Bogor16680 Indonesia Ronpaku Fellow Tokyo102-0083 Japan Environmental Research Center IPB University Bogor16680 Indonesia Study Program of Information Technology Faculty of Science and Engineering Ibn Khaldun University Bogor16129 Indonesia Department Agriculture Forestry and Bioresources Seoul National University Seoul08826 Korea Republic of Regional Office of Food Crops Service West Java Province Cianjur43283 Indonesia Chiba University Chiba263-8522 Japan

This study presents a new method for assessing bacterial leaf blight (BLB) in paddy fields using multispectral UAV (Unmanned Aerial Vehicle) data through patch fragmentation analysis. Unlike traditional pixel-based methods, which often fail to capture the spatial context, our approach treats pixels as objects and analyzes their spatial relationships to evaluate BLB severity. We used six patch fragmentation metrics derived from binarized vegetation indices to classify BLB damage scores using a random forest algorithm. This method achieves high accuracy (AUC of 0.938) with a 0.5-meter sampling window, offering a more detailed assessment than conventional pixel-based analysis. This study highlights the benefits of incorporating the spatial context and improving BLB monitoring and management. This innovative approach allows agricultural stakeholders to gain valuable insights into the extent and severity of BLB disease infestation, enabling targeted intervention strategies for disease management and mitigation. © 2024, The Authors. All rights reserved.

关键词： Pixels

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Critical land mapping for the development of biomass-based energy in East Lombok Regency, Indonesia

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IOP Conference Series: Earth and Environmental Science 2019年第1期314卷

作者： B H Narendra Widiatmaka C Kusmana L Karlinasari Machfud Study Program of Natural Resource and Environmental Management IPB University Indonesia Research Development and Innovation Agency Ministry of Environment and Forestry Indonesia Department of Soil Science and Land Resources Faculty of Agriculture IPB University Indonesia Department of Silviculture Faculty of Forestry IPB University Indonesia Department of Agro-Industrial Technology Faculty of Agricultural Technology IPB University Indonesia Department of Forest Products Faculty of Forestry IPB University Indonesia

Utilization of critical land as woody biomass plantations need to be supported by information on the potential of critical land. The objective of this research was to delineate a critical land using remote sensing and GIS techniques combined with Analytical Hierarchy Process method. The parameters used were land use/cover, slope, rainfall erosivity, tolerable soil erosion, soil erodibility, land management, and land productivity. The Analytical Hierarchy Process method was used to provide the weight of each parameter. Land use/cover map was interpreted from SPOT-7 satellite imageries acquired in 2017. The other parameter maps were built based on reference maps, secondary and field data collection as well as soil sample analysis. The resulted map showed that 32.7% area of East Lombok Regency was categorized as a critical area. Based on the land status, the critical land area located in the State forest was smaller (42%) than on the Area for Other Utilization (58%). Utilization of critical land as woody biomass plantation should be prioritized on the shrub-covered land using community forest scheme, while for the area of State forest, the plantation can be only planted in the production forest area applying industrial plantation forest or community plantation forest scheme.

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The characteristics of palm oil plantation solid biomass wastes as raw material for bio oil

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IOP Conference Series: Earth and Environmental Science 2018年第1期141卷

作者： RN Yanti E Hambali G Pari A Suryani Natural Resource and Environmetal Management Study Program Bogor Agricultural University Indonesia. Forestry of Faculty Lancang Kuning of University Riau Indonesia. Department of Agroindustrial Technology Faculty of Agricultural Technology Bogor Agricultural of University Bogor Indonesia. Surfactant and Bioenergy Research Center Bogor Agricultural University Bogor Indonesia. Center for Research and Development on Forestry Enggineering and Forest Product Processing Bogor Indonesia.

Indonesia is the largest palm oil plantations estate in the world. It reached 11,30 million hectares in 2015 and increased up to 11,67 million hectares in 2016. The advancement of technology recent, the solid waste of palm oil plantation can be re-produced become bio oil through pyrolysis hydrothermal process and utilized for biofuel. The purpose of this research was to analyze the characteristics of feedstock of bio oil of solid waste of palm oil plantations estate. The feedstock used was derived from solid waste of palm oil plantations in Riau Province. Characteristic analysis of waste oil included chemical compound content (cellulose, hemicellulose, lignin), ultimate analysis (C, H, N, O, S) to know height heating value (HHV). The result of analysis of chemical content showed that solid waste of palm cellulose 31,33 – 66,36 %, hemicellulose 7,54 – 17,94 %, lignin 21,43 - 43,1. The HHV of hydrothermal pyrolysis feedstock was 15,18 kJ/gram - 19,57 kJ/gram. Generally, the solid waste of palm oil plantations estate containing lignocellulose can be utilized as bio oil through hydrothermal pyrolysis. The CG-MS analysis of bio oil indicated hydrocarbon contents such as pentadecane, octadecane, hexadecane and benzene.

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Worldwide Soundscapes: A Synthesis of Passive Acoustic Monitoring Across Realms

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Global Ecology and Biogeography 2025年第5期34卷

作者： Kevin F. A. Darras Rodney A. Rountree Steven L. Van Wilgenburg Anna F. Cord Frederik Pitz Youfang Chen Lijun Dong Agnès Rocquencourt Camille Desjonquères Patrick Mauritz Diaz Tzu-Hao Lin Théophile Turco Louise Emmerson Tom Bradfer-Lawrence Amandine Gasc Sarah Marley Marcus Salton Laura Schillé Paul J. Wensveen Shih-Hung Wu Adriana C. Acero-Murcia Orlando Acevedo-Charry Matyáš Adam Jacopo Aguzzi Irmak Akoglu M. Clara P. Amorim Mina Anders Michel André Alexandre Antonelli Leandro Aparecido Do Nascimento Giulliana Appel Stephanie Archer Christos Astaras Andrey Atemasov Jamieson Atkinson Joël Attia Emanuel Baltag Luc Barbaro Fritjof Basan Carly Batist Julio Ernesto Baumgarten Just T. Bayle Sempere Kristen Bellisario Asaf Ben David Oded Berger-Tal Frédéric Bertucci Matthew G. Betts Iqbal S. Bhalla Thiago Bicudo Marta Bolgan Sara Bombaci Gerard Bota Martin Boullhesen Robert A. Briers Susannah Buchan Michal Budka Katie Burchard Giuseppa Buscaino Alice Calvente Marconi Campos-Cerqueira Maria Isabel Carvalho Gonçalves Maria Ceraulo Maite Cerezo-Araujo Gunnar Cerwén Adams A. Chaskda Maria Chistopolova Christopher W. Clark Kieran D. Cox Benjamin Cretois Chapin Czarnecki Luis P. da Silva Wigna da Silva Laurence H. De Clippele David de la Haye Ana Silvia de Oliveira Tissiani Devin de Zwaan M. Eugenia Degano Jessica Deichmann Joaquin del Rio Christian Devenish Ricardo Díaz-Delgado Pedro Diniz Dorgival Diógenes Oliveira-Júnior Thiago Dorigo Saskia Dröge Marina Duarte Adam Duarte Kerry Dunleavy Robert Dziak Simon Elise Hiroto Enari Haruka S. Enari Florence Erbs Britas Klemens Eriksson Pınar Ertör-Akyazi Nina C. Ferrari Luane Ferreira Abram B. Fleishman Paulo J. Fonseca Bárbara Freitas Nicholas R. Friedman Jérémy S. P. Froidevaux Svetlana Gogoleva Carolina Gonzaga José Miguel González Correa Eben Goodale Benjamin Gottesman Ingo Grass Jack Greenhalgh Jocelyn Gregoire Samuel Haché Jonas Hagge William Halliday Antonia Hammer Tara Hanf-Dressler Sylvain Haupert Samara Haver Becky Heath Daniel Hending Jose Hernandez-Blanco Dennis Higgs EFNO ECODIV INRAE Domaine des Barres Nogent-sur-Vernisson France Sustainable Agricultural Systems & Engineering Lab School of Engineering Westlake University Hangzhou Zhejiang China Chair of Computational Landscape Ecology Faculty of Environmental Sciences Dresden University of Technology Dresden Germany Biology Department University of Victoria Victoria British Columbia Canada The Fish Listener Waguoit Massachusetts USA Terrestrial Unit Prairie Region Canadian Wildlife Service Environment & Climate Change Canada Prairie & Northern Wildlife Research Centre Saskatoon Saskatchewan Canada Agro-ecological Modeling Group Faculty of Agriculture University of Bonn Bonn Germany Marine Mammal and Marine Bioacoustics Laboratory Department of Deep Sea Science Institute of Deep-sea Science and Engineering Chinese Academy of Sciences Sanya Hainan China Institut de Systématique Évolution Biodiversité Muséum National d’Histoire Naturelle Paris France Université Grenoble Alpes Université Savoie Mont Blanc CNRS LECA Grenoble France Climate Change and Biodiversity Hanns R. Neumann Stiftung Indonesia Muaradua Indonesia Biodiversity Research Center Academia Sinica Nankang Taipei Taiwan ENES Bioacoustics Research Laboratory University of Saint-Etienne CRNL CNRS UMR 5292 Inserm UMR_S 1028 Saint-Etienne France Australian Antarctic Division Science Branch Department of Climate Change Energy Environment and Water Channel Highway Kingston Tasmania Australia Biological and Environmental Sciences University of Stirling Stirling Scotland Centre for Conservation Science RSPB Edinburgh UK IMBE Aix Marseille Univ Avignon Univ CNRS IRD Aix-en-Provence France Scotland's Rural College Craibstone Estate Aberdeen UK BIOGECO INRAE University of Bordeaux Cestas France Westman Islands Research Centre University of Iceland Vestmannaeyjar Iceland Qigu Research Center Taiwan Biodiversity Research Institute Nantou County Taiwan Programa de Pós-graduação em Ecologia

Aim The urgency for remote, reliable and scalable biodiversity monitoring amidst mounting human pressures on ecosystems has sparked worldwide interest in Passive Acoustic Monitoring (PAM), which can track life underwater and on land. However, we lack a unified methodology to report this sampling effort and a comprehensive overview of PAM coverage to gauge its potential as a global research and monitoring tool. To address this gap, we created the Worldwide Soundscapes project, a collaborative network and growing database comprising metadata from 416 datasets across all realms (terrestrial, marine, freshwater and subterranean). Location Worldwide, 12,343 sites, all ecosystem types. Time Period 1991 to present. Major Taxa Studied All soniferous taxa. Methods We synthesise sampling coverage across spatial, temporal and ecological scales using metadata describing sampling locations, deployment schedules, focal taxa and audio recording parameters. We explore global trends in biological, anthropogenic and geophysical sounds based on 168 selected recordings from 12 ecosystems across all realms. Results Terrestrial sampling is spatially denser (46 sites per million square kilometre—Mkm 2 ) than aquatic sampling (0.3 and 1.8 sites/Mkm 2 in oceans and fresh water) with only two subterranean datasets. Although diel and lunar cycles are well sampled across realms, only marine datasets (55%) comprehensively sample all seasons. Across the 12 ecosystems selected for exploring global acoustic trends, biological sounds showed contrasting diel patterns across ecosystems, declined with distance from the Equator, and were negatively correlated with anthropogenic sounds. Main Conclusions PAM can inform macroecological studies as well as global conservation and phenology syntheses, but representation can be improved by expanding terrestrial taxonomic scope, sampling coverage in the high seas and subterranean ecosystems, and spatio-temporal replication in freshwater habitats. Overall, this

关键词： ARU automated sound recorder biodiversity conservation biology ecoacoustics IUCN GET realm Passive Acoustic Monitoring phenology soundscape ecology

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Landscape Character of Pongkor Mining Ecotourism Area

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IOP Conference Series: Earth and Environmental Science 2017年第1期91卷

作者： A Kusumoarto A Gunawan Machfud A Hikmat Doctoral Student Program Natural Resource and Environmental Management Science School of Post-Graduate Bogor Agricultural University Jl. Raya Pajajaran Bogor Indonesia 16143 Lecturer in Landscape Architecture Department Bogor Agriculture University Jl. Raya Darmaga Bogor Indonesia 16680 Lecturer in AgroIndustrial Technology Department Bogor Agriculture University Jl. Raya Darmaga Bogor Indonesia 16680. Lecturer in Conservation of Forest and Ecotourism Department Bogor Agriculture University Jl. Raya Darmaga Bogor Indonesia 16680

Pongkor Mining Ecotourism Area has a diverse landscape character as a potential landscape resources for the development of ecotourism destination. This area is part of the Mount of Botol Resort, Halimun Salak National Park (HSNP). This area also has a fairly high biodiversity. This study aims to identify and analysis the category of landscape character in the Pongkor Mining Ecotourism Area for the development of ecotourism destination. This study used a descriptive approach through field surveys and interviews, was carried out through two steps : 1) identify the landscape character, and 2) analysis of the landscape character. The results showed that in areas set aside for ecotourism destination in Pongkor Mining, landscape character category scattered forests, tailing ponds, river, plain, and the built environment. The Category of landscape character most dominant scattered in the area is forest, here is the river, plain, tailing ponds, the built environment, and plain. The landscape character in a natural environment most preferred for ecotourism activities. The landscape character that spread in the natural environment and the built environment is a potential that must be protected and modified such as elimination of incongruous element, accentuation of natural form, alteration of the natural form, intensification and enhanced visual quality intensively to be developed as a ecotourism destination area.

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The Biodiversity of Flora and Fauna in the Re-vegetation Area in The Post-Mining Area of Pongkor

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IOP Conference Series: Earth and Environmental Science 2020年第1期501卷

作者： A Kusumoarto A Gunawan Machfud A Hikmat Doctoral Student Program Natural Resource and Environmental Management Science School of Post-Graduate IPB University Jl. Raya Pajajaran Bogor Indonesia 16143 Lecturer in Architecture Study Program Faculty of Technic and Computer Science Indraprasta PGRI University Jl. Raya Nangka No. 58C RT.5/RW.5 Tanjung Barat Kecamatan Jagakarsa Kota Jakarta Selatan Daerah Khusus Ibukota Jakarta 12530 Lecturer in Landscape Architecture Department IPB University Jl. Raya Darmaga Bogor Indonesia 16680 Lecturer in AgroIndustrial Technology Department IPB University Jl.Raya Darmaga Bogor Indonesia 16680 Lecturer in Conservation of Forest and Ecotourism Department IPB University Jl. Raya Darmaga Bogor Indonesia 16680

The Pongkor post-mining area is designated as one of the ecotourism areas in Bogor. This area has biodiversity of flora and fauna. This study aims to: (1) analysis the importance value index (IVI) of flora types; (2) analysis species richness index, species diversity index, and relative species abundance index; (3) analysis the beauty, the uniqueness and the rarity of the flora and fauna types. The method used in this research is quantitative descriptive. Based on the identification results, 185 species of flora are distributed in this region. During the rainy season, 15 species of herpetofauna were identified, 32 types of aves, and 4 types of mammals, while in the dry season 19 species of herpetofauna were identified, 23 types of aves, and 2 types of mammals. Based on the results of the analysis conducted on these flora and fauna, there are flora species that have high IVI values and some beautiful and unique flora species that are in the category of endangered species. Besides that, there are also fauna species which have a value of species richness index, species diversity index, and relative species abundance index, as well as some beautiful, unique, and fauna species that are in the category of endangered species.

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Native diversity buffers against severity of non-native tree invasions ( vol 621,pg 773 , 2023 )

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NATURE 2023年第7982期622卷 E2-E2页

作者： Delavaux, Camille S. Crowther, Thomas W. Zohner, Constantin M. Robmann, Niamh M. Lauber, Thomas van den Hoogen, Johan Kuebbing, Sara Liang, Jingjing de-Miguel, Sergio Nabuurs, Gert-Jan Reich, Peter B. Abegg, Meinrad Yao, Yves C. Adou Alberti, Giorgio Zambrano, Angelica M. Almeyda Alvarado, Braulio Vilchez Alvarez-Davila, Esteban Alvarez-Loayza, Patricia Alves, Luciana F. Ammer, Christian Anton-Fernandez, Clara Araujo-Murakami, Alejandro Arroyo, Luzmila Avitabile, Valerio Aymard, Gerardo A. Baker, Timothy R. Balazy, Radomir Banki, Olaf Barroso, Jorcely G. Bastian, Meredith L. Bastin, Jean-Francois Birigazzi, Luca Birnbaum, Philippe Bitariho, Robert Boeckx, Pascal Bongers, Frans Bouriaud, Olivier Brancalion, Pedro H. S. Brandl, Susanne Brienen, Roel Broadbent, Eben N. Bruelheide, Helge Bussotti, Filippo Gatti, Roberto Cazzolla Cesar, Ricardo G. Cesljar, Goran Chazdon, Robin Chen, Han Y. H. Chisholm, Chelsea Cho, Hyunkook Cienciala, Emil Clark, Connie Clark, David Colletta, Gabriel D. Coomes, David A. Valverde, Fernando Cornejo Corral-Rivas, Jose J. Crim, Philip M. Cumming, Jonathan R. Dayanandan, Selvadurai de Gasper, Andre L. Decuyper, Mathieu Derroire, Geraldine DeVries, Ben Djordjevic, Ilija Dolezal, Jiri Dourdain, Aurelie Obiang, Nestor Laurier Engone Enquist, Brian J. Eyre, Teresa J. Fandohan, Adande Belarmain Fayle, Tom M. Feldpausch, Ted R. Ferreira, Leandro V. Fischer, Markus Fletcher, Christine Frizzera, Lorenzo Gamarra, Javier G. P. Gianelle, Damiano Glick, Henry B. Harris, David J. Hector, Andrew Hemp, Andreas Hengeveld, Geerten Herault, Bruno Herbohn, John L. Herold, Martin Hillers, Annika Coronado, Euridice N. Honorio Hui, Cang Ibanez, Thomas T. Amaral, Ieda Imai, Nobuo Jagodzinski, Andrzej M. Jaroszewicz, Bogdan Johannsen, Vivian Kvist Joly, Carlos A. Jucker, Tommaso Jung, Ilbin Karminov, Viktor Kartawinata, Kuswata Kearsley, Elizabeth Kenfack, David Kennard, Deborah K. Kepfer-Rojas, Sebastian Keppel, Gunnar Khan, Mohammed Latif Killeen, Timothy J. Kim, Hyun Seok Kitayama, Kanehiro Kohl, Michael Korju Institute of Integrative Biology ETH Zurich (Swiss Federal Institute of Technology) Zurich Switzerland Department of Genetics Evolution and Environment University College London London UK The Forest School at The Yale School of the Environment Yale University New Haven CT USA Department of Forestry and Natural Resources Purdue University West Lafayette IN USA Department of Agriculture Forestry and Bioresources Seoul National University Seoul South Korea Department of Crop and Forest Sciences University of Lleida Lleida Spain Joint Research Unit CTFC–AGROTECNIO–CERCA Solsona Spain Wageningen University and Research Wageningen The Netherlands World Agroforestry (ICRAF) Nairobi Kenya Department of Forest Resources University of Minnesota St Paul MN USA Hawkesbury Institute for the Environment Western Sydney University Penrith New South Wales Australia Institute for Global Change Biology and School for Environment and Sustainability University of Michigan Ann Arbor MI USA Swiss Federal Institute for Forest Snow and Landscape Research WSL Birmensdorf Switzerland UFR Biosciences University Félix Houphouët-Boigny Abidjan Côte d’Ivoire Department of Agricultural Food Environmental and Animal Sciences University of Udine Udine Italy Faculty of Science and Technology Free University of Bolzano Bolzano Italy Spatial Ecology and Conservation Laboratory Department of Tourism Recreation and Sport Management University of Florida Gainesville FL USA Forestry School Tecnológico de Costa Rica TEC Cartago Costa Rica Fundacion ConVida Universidad Nacional Abierta y a Distancia UNAD Medellin Colombia Field Museum of Natural Histiory Chicago IL USA Center for Tropical Research Institute of the Environment and Sustainability UCLA Los Angeles CA USA Silviculture and Forest Ecology of the Temperate Zones University of Göttingen Göttingen Germany Division of Forest and Forest Resources Norwegian Institute of Bioeconomy Research (NIBIO) Ås Norway Museo de Hi

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BioTIME 2.0: Expanding and Improving a Database of Biodiversity Time Series

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Global Ecology and Biogeography 2025年第5期34卷

作者： Maria Dornelas Laura H. Antão Amanda E. Bates Viviana Brambilla Jonathan M. Chase Cher F. Y. Chow Ada Fontrodona-Eslava Anne E. Magurran Inês S. Martins Faye Moyes Alban Sagouis Samuel Adu-Acheampong Daniel Acquah-Lamptey Dušan Adam Penelope A. Ajani Aitor Albaina Pablo Almaraz Jeongseop An Roger Sigismund Anderson Madelaine Jean Robertson Anderson Alexsander Z. Antunes Ivan Arismendi Linda Armbrecht Pedro Aros-Mardones Sreejith Kalpuzha Ashtamoorthy Narayanan Ayyappan Gal Badihi Joseph J. Bailey Andrew H. Baird Mark Edward Baird Sreekumar Vadakkethil Balakrishnan José António L. Barão-Nóbrega Adi Barash Miguel Barbosa Jos Barlow Claus Bässler Matthieu Beaumont Natalie Beenaerts Tiago Octavio Begot Wallace Beiroz Ricardo Beldade David M. Bell Alecia Bellgrove Jonathan Belmaker Lisandro Benedetti-Cecchi Cassandra E. Benkwitt Pamela Medina-van Berkum Brandon T. Bestelmeyer Matthew G. Betts Maxwell Kelvin Billah Anne D. Bjorkman Magdalena Błażewicz Christopher P. Bloch Shane A. Blowes Antonio Bode Juliano A. Bogoni Thomas Bolger Timothy C. Bonebrake Erik Bonsdorff Roberta Bottarin Luke N. Brokensha Rob W. Brooker Andrew J. Brooks Helge Bruelheide Thiago Almeida Bueno Claire Laguionie Mariana Lopes Campagnoli James Cant Erica Pellegrini Caramaschi Alexandre Caron Tadhg Carroll Tancredi Caruso Juan Carvajal-Quintero Giuseppe Castaldelli Edward Castañeda-Moya Pedro V. Castilho Sonia Zanini Cechin Shahar Chaikin Uchangi Manjunatha Chandrashekara Tory J. Chase Chaolun Allen Chen Jorge José Cherem Sei-Woong Choi Erica M. Christensen Alexander V. Christianini Jackson Wing Four Chu Peter Coad Carl Van Colen Lise Comte Elisabeth J. Cooper J. Hans C. Cornelissen Eddy Cosson Unai Cotano Luc Crevecoeur Shannan Kyle Crow Graeme S. Cumming Vanessa S. Daga Gabriella Damasceno Gergana N. Daskalova Claire H. Davies Robert A. Davis Frank P. Day Sussy De-La-Zerda Amy Elizabeth Deacon Indradatta de Castro-Arrazola Steven Degraer Kharran Deonarinesingh Juan C. Diaz-Ricaurte Christopher R. Dickman Tara Dirilgen Ciaran John Dolan J. Emmet Centre for Biological Diversity School of Biology University of St Andrews Fife UK MARE—Centro de Ciências do Mar e do Ambiente Faculdade de Ciências Universidade de Lisboa Lisboa Portugal Research Centre for Ecological Change Organismal and Evolutionary Biology Research Programme Faculty of Biological and Environmental Sciences University of Helsinki Helsinki Finland Department of Biology University of Victoria Victoria British Columbia Canada German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig Leipzig Germany Department of Computer Science Martin Luther University Halle-Wittenberg Halle (Saale) Germany Leverhulme Centre for Anthropocene Biodiversity Department of Biology University of York York UK Department of Animal Biology and Conservation Science University of Ghana Accra Ghana Philipps Universität Marburg Marburg Germany Department of Forest Ecology Silva Tarouca Research Institute Brno Czech Republic School of Life Sciences University of Technology Sydney Sydney New South Wales Australia Zoology and Animal Cell Biology Department University of the Basque Country (UPV/EHU) Leioa Spain Grupo de Oceanografía de Ecosistemas Instituto de Ciencias Marinas de Andalucía CSIC Campus Universitario de Puerto Real Puerto Real Spain National Institute of Ecology Seocheon Republic of Korea African Regional Postgraduate Programme in Insect Science University of Ghana Accra Ghana Département de Biologie Université de Sherbrooke Sherbrooke Quebec Canada Núcleo de Conservação da Biodiversidade Instituto de Pesquisas Ambientais Secretaria de Meio Ambiente Infraestrutura e Logística do Estado de São Paulo São Paulo Brazil Department of Fisheries Wildlife and Conservation Sciences Oregon State University Corvallis Oregon USA Institute for Marine and Antarctic Studies Ecology & Biodiversity Centre University of Tasmania Hobart Tasmania Australia Graduate Program in Oceanography Department of Oceanography Faculty of Natural Scienc

Motivation Here, we make available a second version of the BioTIME database, which compiles records of abundance estimates for species in sample events of ecological assemblages through time. The updated version expands version 1.0 of the database by doubling the number of studies and includes substantial additional curation to the taxonomic accuracy of the records, as well as the metadata. Moreover, we now provide an R package (BioTIMEr) to facilitate use of the database. Main Types of Variables Included The database is composed of one main data table containing the abundance records and 11 metadata tables. The data are organised in a hierarchy of scales where 11,989,233 records are nested in 1,603,067 sample events, from 553,253 sampling locations, which are nested in 708 studies. A study is defined as a sampling methodology applied to an assemblage for a minimum of 2 years. Spatial Location and Grain Sampling locations in BioTIME are distributed across the planet, including marine, terrestrial and freshwater realms. Spatial grain size and extent vary across studies depending on sampling methodology. We recommend gridding of sampling locations into areas of consistent size. Time Period and Grain The earliest time series in BioTIME start in 1874, and the most recent records are from 2023. Temporal grain and duration vary across studies. We recommend doing sample-level rarefaction to ensure consistent sampling effort through time before calculating any diversity metric. Major Taxa and Level of Measurement The database includes any eukaryotic taxa, with a combined total of 56,400 taxa. Software Format csv and. SQL.

关键词： assemblage biodiversity community database ecoinformatics species taxa time

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