Dataset Information

Engaging Transformation: Using Seasonal Rounds to Anticipate Climate Change.

ABSTRACT: Seasonal rounds are deliberative articulations of a community's sociocultural relations with their ecological system. The process of visualizing seasonal rounds informs transdisciplinary research. We present a methodological approach for communities of enquiry to engage communities of practice through context-specific sociocultural and ecological relations driven by seasonal change. We first discuss historical précis of the concept of seasonal rounds that we apply to assess the spatial and temporal communal migrations and then describe current international research among Indigenous and rural communities in North America and Central Asia by the creation of a common vocabulary through mutual respect for multiple ways of knowing, validation of co-generated knowledge, and insights into seasonal change. By investigating the relationship between specific biophysical indicators and livelihoods of local communities, we demonstrate that seasonal rounds are an inclusive and participatory methodology that brings together diverse Indigenous and rural voices to anticipate anthropogenic climate change.

Supplementary information

The online version contains supplementary material available at 10.1007/s10745-021-00269-2.

SUBMITTER: Kassam KA

PROVIDER: S-EPMC8479261 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Engaging Transformation: Using Seasonal Rounds to Anticipate Climate Change.

Kassam Karim-Aly KA Ruelle Morgan M Haag Isabell I Bulbulshoev Umed U Kaziev Daler D Louis Leo L Ullmann Anna A Edwards Iriel I Khan Aziz Ali AA Trabucco Antonio A Samimi Cyrus C

Human ecology: an interdisciplinary journal 20210929 5

Seasonal rounds are deliberative articulations of a community's sociocultural relations with their ecological system. The process of visualizing seasonal rounds informs transdisciplinary research. We present a methodological approach for <i>communities of enquiry</i> to engage <i>communities of practice</i> through context-specific sociocultural and ecological relations driven by seasonal change. We first discuss historical précis of the concept of seasonal rounds that we apply to assess the spa ...[more]

PMID: 34602701

Similar Datasets

Project description:BackgroundMonitoring vegetation dynamics and their responses to climate change has been the subject of considerable research. This paper aims to detect change trends in grassland activity on the Tibetan Plateau between 1982 and 2006 and relate these to changes in climate.Methodology/principal findingsGrassland activity was analyzed by evaluating remotely sensed Normalized Difference Vegetation Index (NDVI) data collected at 15-day intervals between 1982 and 2006. The timings of vegetation stages (start of green-up, beginning of the growing season, plant maturity, start of senescence and end of the growing season) were assessed using the NDVI ratio method. Mean NDVI values were determined for major vegetation stages (green-up, fast growth, maturity and senescence). All vegetation variables were linked with datasets of monthly temperature and precipitation, and correlations between variables were established using Partial Least Squares regression. Most parts of the Tibetan Plateau showed significantly increasing temperatures, as well as clear advances in late season phenological stages by several weeks. Rainfall trends and significant long-term changes in early season phenology occurred on small parts of the plateau. Vegetation activity increased significantly for all vegetation stages. Most of these changes were related to increasing temperatures during the growing season and in some cases during the previous winter. Precipitation effects appeared less pronounced. Warming thus appears to have shortened the growing season, while increasing vegetation activity.Conclusions/significanceShortening of the growing season despite a longer thermally favorable period implies that vegetation on the Tibetan Plateau is unable to exploit additional thermal resources availed by climate change. Ecosystem composition may no longer be well attuned to the local temperature regime, which has changed rapidly over the past three decades. This apparent lag of the vegetation assemblage behind changes in climate should be taken into account when projecting the impacts of climate change on ecosystem processes.

Dataset Information

Engaging Transformation: Using Seasonal Rounds to Anticipate Climate Change.

Supplementary information

Publications

Engaging Transformation: Using Seasonal Rounds to Anticipate Climate Change.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets