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Coordinating a Northeast Regional Phenology Network

2008· article· en· W2017564010 sur OpenAlexaboutno aff
Brenden E. McNeil, Ellen G. Denny, Andrew D. Richardson

Notice bibliographique

RevueBulletin of the Ecological Society of America · 2008
Typearticle
Langueen
DomaineEnvironmental Science
ThématiqueSpecies Distribution and Climate Change
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPhenologyEcosystemClimate changeGeographyEcologyEnvironmental sciencePhysical geographyClimatologyBiology

Résumé

récupéré en direct d'OpenAlex

The inaugural workshop of the Northeast Regional Phenology Network was organized by Ellen Denny and Brenden McNeil, and held in Durham, New Hampshire, 8–9 November 2007. The workshop was made possible with primary funding support from the Northeastern States Research Cooperative and additional support from an NSF-RCN grant to the Northeastern Ecosystem Research Cooperative. Phenology, defined as the study of the timing of seasonally recurring biological events, is increasingly recognized as a vital aspect of understanding how organisms and their associated ecosystems respond to climatic variability. Similar to studies conducted elsewhere, recent studies in forests of the northeastern United States and adjacent Canada (i.e., “the Northeast region”) indicate that recent warming trends have resulted in an extension of the growing season (earlier springs and later autumns), a phenological impact with important ecological, hydrological, and biophysical ramifications. However, related studies from the Northeast region highlight that there is considerable, and still poorly understood, spatial variability in the phenology indicated by ground observations and remote sensing, and further questions remain about the correspondence between the spring phenology observed on the ground and the green-up signal seen from space. Thus, identifying the patterns and drivers of spatial and temporal variability in phenology is a prerequisite to understanding the consequences of climatic change in the Northeast region. Following the models of cooperative phenology observation networks formed elsewhere (e.g., in Europe, as well as the newly established USA National Phenology Network, USA-NPN), the Northeast Regional Phenology Network (NE-RPN) was recently formed to develop a cooperative effort that would (1) coordinate phenological monitoring by researchers and citizen scientists across the Northeast, (2) develop and evaluate common protocols specific to the flora (and eventually the fauna) of the region, (3) facilitate data sharing and regional phenological syntheses, and (4) contribute to the efforts of USA-NPN. In addition to attendance by key representatives of the USA-NPN, the workshop had a capacity attendance (34 participants) from a very diverse cross-section of citizen science and research groups drawn from across the Northeast. The enthusiastic participation of all the attendees provided a valuable contribution toward the broader goal, shared by the USA-NPN, of working together to develop a spatially extensive, multitaxa, and multiscale phenological observation data resource that will support research, management, and policy objectives. A series of introductory presentations at the workshop highlighted the observation that phenology is more than an indicator of climatic variation; it affects biophysical phenomena, such as ecosystem–atmosphere exchanges (e.g., surface energy balance, transpiration and photosynthesis, all of which have feedbacks to the climate system), as well as ecological phenomena (e.g., nutrient cycling, species distributions, and trophic interactions such as herbivore–host synchrony). The remainder of the presentations provided details of some existing phenology monitoring protocols used in the region, with an emphasis on the phenology of herbaceous and woody species characteristic of the region's deciduous forests. Four distinct approaches were described: (1) long-term field observations at well-studied research sites (e.g., Hubbard Brook and Harvard Forest LTERs), (2) citizen-science-based protocols (e.g., volunteer programs coordinated by the Appalachian Mountain Club and Cornell's Project BudBreak), (3) “near” remote sensing, including upward-looking digital photography, tower-mounted webcams, and radiometric instruments, and (4) various algorithms for extracting phenology signals from satellite remote sensing platforms (e.g., MODIS, Landsat). The presentations of existing protocols in the region laid an excellent foundation for two breakout group discussions that concluded the first day of the workshop. One breakout group identified and discussed four postulates for successful integration of citizen science efforts in a regional phenological monitoring program: (1) ensuring scientific utility of the collected data through quality control and self-evaluation of the accuracy of species identification, (2) focusing on engaging amateur botanists (e.g., master gardeners) but also encouraging participation from the broadest possible audience (e.g., K–12 students, humorously referred to as “kinder-gardeners”), (3) providing guidance and support (e.g., defining protocols and species lists, supporting web site and database development, and offering training materials such as an online library of photographs illustrating different phenophases), and (4) providing resources that keep citizen-scientists involved year after year (e.g., newsletters or annual reports with observation summaries, online discussion groups, e-mail lists, and annual meetings). The group also outlined recommendations for the specific responsibilities of local citizen science groups, and of the regional and national networks, in meeting these objectives. These discussions, which effectively defined the scope of citizen science efforts for this cooperative network, were viewed by many as a highlight of the workshop because of the excellent opportunities to educate the public about phenology, climate change, and ecology, and the huge amount of data and support a citizen science effort can offer. The second breakout group focused on approaches for integrating ground observations with remote sensing. The group concluded that the development of empirical “transfer-functions” between ground-based and satellite-based phenology measurements could be facilitated if ground-based protocols met several criteria: (1) they provide a temporally continuous (rather than event-based) measure of leaf expansion and senescence, (2) they are representative of the species composition (which needs to be reported) of the canopy at the pixel scale, and (3) they report ancillary data, particularly regarding snow cover, which will be valuable for improving algorithms. The workshop continued on day two with a second set of breakout groups. The first of these compiled a list of target plant species for the region, and discussed a tiered (by observer skill level) protocol system for ground observations that would capture the overall state of the development of the deciduous forest canopy (to be linked to remote sensing data), and would be compatible with existing long-term phenological data sets in the region and other national and international protocols. The regional protocols are currently being developed in conjunction with those of the USA-NPN with the goal of having a prototype version to be tested across the region in the spring of 2008. The second breakout group discussed a range of topics, including: (1) a data-sharing and “fair use” policy (to be modeled after AmeriFlux), (2) an outline of content for the NE-RPN web page 〈www.nerpn.org〉, and (3) plans for a regional synthesis (coordinated by Brenden McNeil) that could draw on existing long-term data sets to explore cross-taxa synchronies and patterns of spatial variability. Several challenges and opportunities lie ahead for the NE-RPN. These include: (1) reconciling existing ground protocols, (2) ensuring and testing interoperability among ground, citizen-science, “near” remote sensing, and satellite remote sensing observations, (3) meeting the four postulates for successful citizen science participation, (4) attracting new participants and ensuring continued participation of all existing participants, (5) working with USA-NPN to design a cyberinfrastructure that meets the specific needs for data submission by both researchers and citizen scientists, and also supports data distribution and flow to analysis and synthesis efforts at regional and national scales, and (6) obtaining additional funding to support a network coordinator as well as future meetings and synthesis activities. As the NE-RPN moves forward toward its objectives, anyone who is interested in participating is urged to contact the group organizers, Ellen Denny and Brenden McNeil. (Brenden E. McNeil is the corresponding author.)

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,416
Score d'incertitude au seuil0,896

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,002
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,1050,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,026
Tête enseignante GPT0,217
Écart entre enseignants0,191 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations3
Publié2008
Routes d'admission1
Résumé présentoui

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Même revueBulletin of the Ecological Society of AmericaMême sujetSpecies Distribution and Climate ChangeTravaux en français237 207