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1. Consistent, accurate, high resolution, long time-series mapping of built-up land in the North China Plain

Author:
Brett A. Bryan,   et al.   ; Jinzhu Wang; Michalis Hadjikakou;     Show all 3 Authors
Source:
GIScience & remote sensing 2021 v.58 no.7 pp. 982-998
ISSN:
1943-7226
Subject:
Landsat; algorithms; issues and policy; spectral analysis; time series analysis; uncertainty; urbanization; China
Abstract:
... Accurate, long time-series, high-resolution mapping of built-up land dynamics is essential for understanding urbanization and its environmental impacts. Despite advances in remote sensing and classification algorithms, built-up land mapping which only uses spectral data and derived indices remains prone to uncertainty. We mapped the extent of built-up land in the North China Plain, one of China’s ...
DOI:
10.1080/15481603.2021.1948275

2. Changes in supply and demand mediate the effects of land-use change on freshwater ecosystem services flows

Author:
Brett A. Bryan,   et al.   ; Jingyu Lin; Jinliang Huang; Christina Prell;     Show all 4 Authors
Source:
Science of the total environment 2021 v.763 pp. 143012
ISSN:
0048-9697
Subject:
environment; freshwater; freshwater ecosystems; humans; land use change; people; rivers; runoff; supply balance; urbanization; water supply; watershed management; watersheds; China
Abstract:
... Land-use change alters the dynamics of freshwater ecosystem services flows by affecting both service supply (by influencing hydrological processes and runoff) and demand (via changes in human water use). However, few studies have considered the wide range of effects of land-use change on freshwater ecosystem services' flows. In this study, we distinguished the impacts of changing water supply and ...
DOI:
10.1016/j.scitotenv.2020.143012

3. Prioritising Sustainable Development Goals, characterising interactions, and identifying solutions for local sustainability

Author:
Brett A. Bryan,   et al.   ; Reihaneh Bandari; Enayat A. Moallemi; Rebecca E. Lester; David Downie;     Show all 5 Authors
Source:
Environmental science & policy 2022 v.127 pp. 325-336
ISSN:
1462-9011
Subject:
case studies; climate; climate change; environmental science; issues and policy; sanitation; sustainable development
Abstract:
... The United Nations 2030 Agenda brings a holistic and multi-sectoral view on sustainability via the Sustainable Development Goals (SDGs). However, a successful implementation of this agenda is contingent on understanding the multiple, complex interactions among SDGs, including both synergies and trade-offs, for informing planning for sustainability at the local level. Using a case study in the Goul ...
DOI:
10.1016/j.envsci.2021.09.016

4. Co-creating local socioeconomic pathways for achieving the sustainable development goals

Author:
Brett A. Bryan,   et al.   ; Katrina Szetey; Enayat A. Moallemi; Emma Ashton; Martin Butcher; Beth Sprunt;     Show all 6 Authors
Source:
Sustainability science 2021 v.16 no.4 pp. 1251-1268
ISSN:
1862-4065
Subject:
case studies; sustainability science and engineering; sustainable development; Australia
Abstract:
... The Sustainable Development Goals (SDGs) recognise the importance of action across all scales to achieve a sustainable future. To contribute to overall national- and global-scale SDG achievement, local communities need to focus on a locally-relevant subset of goals and understand potential future pathways for key drivers which influence local sustainability. We developed a participatory method to ...
DOI:
10.1007/s11625-021-00921-2

5. National-level consumption-based and production-based utilisation of the land-system change planetary boundary: patterns and trends

Author:
Brett A. Bryan,   et al.   ; M. Abdullah Shaikh; Michalis Hadjikakou;     Show all 3 Authors
Source:
Ecological indicators 2021 v.121 pp. 106981
ISSN:
1470-160X
Subject:
arable soils; cropland; models; sustainable development; China; India
Abstract:
... To achieve responsible consumption and production under UN Sustainable Development Goal (SDG) 12, national agri-food consumption and production need to be assessed against environmental limits. We downscaled the land-system change planetary boundary and allocated national-scale cropland environmental limits for agri-food consumption via fair-share allocation based on population, and for agri-food ...
DOI:
10.1016/j.ecolind.2020.106981

6. High-resolution wall-to-wall land-cover mapping and land change assessment for Australia from 1985 to 2015

Author:
Brett A. Bryan,   et al.   ; Marco Calderón-Loor; Michalis Hadjikakou;     Show all 3 Authors
Source:
Remote sensing of environment 2021 v.252 pp. 112148
ISSN:
0034-4257
Subject:
Internet; Landsat; algorithms; cropland; data collection; environment; environmental assessment; forests; grasslands; issues and policy; land cover; land use; time series analysis; uncertainty; Australia
Abstract:
... Computational and data handling limitations have constrained time-series analyses of land-cover change at high-spatial resolution over large (e.g., continental) extents. However, a new set of cloud-computing services offer an opportunity for improving knowledge of land change at finer grain. We constructed a historical set of seven high-resolution wall-to-wall land-cover maps at continental scale ...
DOI:
10.1016/j.rse.2020.112148

7. Does global food trade close the dietary nutrient gap for the world's poorest nations?

Author:
Brett A. Bryan,   et al.   ; Ozge Geyik; Michalis Hadjikakou; Baris Karapinar;     Show all 4 Authors
Source:
Global food security 2021 v.28 pp. 100490
ISSN:
2211-9124
Subject:
food composition; food security; income; nutritional adequacy; vitamin A
Abstract:
... Global food trade enables the flow of dietary nutrients between countries. However, little is known about whether trade improves nutrient supply of countries most in need. Using detailed production and bilateral trade data, we found that despite strongly connected global nutrient networks, trade did not substantively improve the nutrient adequacy of most low/lower-middle income countries (~40% of ...
DOI:
10.1016/j.gfs.2021.100490

8. Survey data on climate change adaptation and barriers to adoption among smallholder farmers in Nepal

Author:
Brett A. Bryan,   et al.   ; Prahlad Lamichhane; Kelly K. Miller; Michalis Hadjikakou;     Show all 4 Authors
Source:
Data in Brief 2021 v.39 pp. 107620
ISSN:
2352-3409
Subject:
agroecosystems; climate change; data collection; ethics; humans; small-scale farming; Australia; Nepal
Abstract:
... The dataset presents the raw data collected through household surveys of smallholder farmers on adaptation to climatic variabilities and change in Sudurpaschim Pradesh (Far Western Province), Nepal. The dataset comprises farmers' responses on the likely determinants of adaptation decisions, actual uptake of adaptation measures, and the barriers to adaptation. We collected the data by conducting fa ...
DOI:
10.1016/j.dib.2021.107620

9. Resilience of smallholder cropping to climatic variability

Author:
Brett A. Bryan,   et al.   ; Prahlad Lamichhane; Kelly K. Miller; Michalis Hadjikakou;     Show all 4 Authors
Source:
Science of the total environment 2020 v.719 pp. 137464
ISSN:
0048-9697
Subject:
agricultural development; agricultural statistics; capital; climate; corn; crops; developing countries; farmers; food production; food security; issues and policy; livelihood; rice; simulation models; small-scale farming; social environment; wheat; Nepal
Abstract:
... Smallholder agriculture is a major contributor to global food production and is vital for ensuring food security in many developing countries. Smallholder agriculture is a typically complex and heterogeneous social-ecological system that is especially susceptible to climatic variability. Research has often focused on examining climate impacts on crops in smallholder agriculture. However, the resil ...
DOI:
10.1016/j.scitotenv.2020.137464

10. Pesticide Toxicity Hazard of Agriculture: Regional and Commodity Hotspots in Australia

Author:
Brett A. Bryan,   et al.   ; Javier Navarro; Michalis Hadjikakou; Bradley Ridoutt; Hazel Parry;     Show all 5 Authors
Source:
Environmental science & technology 2021 v.55 no.2 pp. 1290-1300
ISSN:
1520-5851
Subject:
ecotoxicology; environmental science; horticulture; humans; land use; livestock; pesticides; risk; technology; toxicity; Australia
Abstract:
... While the need to reduce the impacts of pesticide use on the environment is increasingly acknowledged, the existing data on the use of agricultural chemicals are hardly adequate to support this goal. This study presents a novel, spatially explicit, national-scale baseline analysis of pesticide toxicity hazard (the potential for chemicals to do harm). The results show an uneven contribution of land ...
DOI:
10.1021/acs.est.0c05717

11. Climate change adaptation for managing non-timber forest products in the Nepalese Himalaya

Author:
Brett A. Bryan,   et al.   ; Lila Jung Gurung; Kelly K. Miller; Susanna Venn;     Show all 4 Authors
Source:
Science of the total environment 2021 v.796 pp. 148853
ISSN:
0048-9697
Subject:
agroforestry; climate change; environment; forests; income; insect pests; invasive species; issues and policy; people; questionnaires; surveys; watersheds; Himalayan region; Nepal
Abstract:
... Non-timber forest products (NTFPs) contribute to the well-being of mountain communities in many ways but their availability is being impacted by climate change. Policy and programs to enhance adaptation can alleviate these impacts, but to be effective they require an understanding of mountain community perceptions of climate change impacts on NTFPs and the perceived barriers to climate change adap ...
DOI:
10.1016/j.scitotenv.2021.148853

12. Exploratory modeling for analyzing coupled human-natural systems under uncertainty

Author:
Brett A. Bryan,   et al.   ; Enayat A. Moallemi; Jan Kwakkel; Fjalar J. de Haan;     Show all 4 Authors
Source:
Global environmental change 2020 v.65 pp. 102186
ISSN:
0959-3780
Subject:
decision making; models; stakeholders; taxonomy; uncertainty
Abstract:
... Modeling is a crucial approach for understanding the past and exploring the future of coupled human-natural systems. However, uncertainty in various forms challenges inferences from modeling results. Model-based support for decision-making has increasingly adopted an emerging exploratory approach. This approach addresses uncertainty explicitly through systematically exploring the implications of m ...
DOI:
10.1016/j.gloenvcha.2020.102186

13. Spatiotemporal trends in adequacy of dietary nutrient production and food sources

Author:
Brett A. Bryan,   et al.   ; Ozge Geyik; Michalis Hadjikakou;     Show all 3 Authors
Source:
Global food security 2020 v.24 pp. 100355
ISSN:
2211-9124
Subject:
food composition; food policy; food production; grains; human population; livestock; malnutrition; marine fish; milk; nutrients; nutritional adequacy; primary productivity; roots; seafoods; sustainable development; trade; tubers; vegetables; vitamin A
Abstract:
... Addressing the triple burden of malnutrition requires significant improvements in nutritional outcomes from food production. We assessed the nutrient adequacy of primary production for 177 countries between 1995 and 2015 by comparing population requirements to dietary nutrient production based on highly disaggregate crop, livestock, and seafood data. While total production can adequately provide t ...
DOI:
10.1016/j.gfs.2020.100355

14. Reframing water-related ecosystem services flows

Author:
Brett A. Bryan,   et al.   ; Jingyu Lin; Jinliang Huang; Michalis Hadjikakou; Yaling Huang; Kun Li;     Show all 6 Authors
Source:
Ecosystem services 2021 v.50 pp. 101306
ISSN:
2212-0416
Subject:
basins; ecosystem services; ecosystems; human capital; natural capital; nitrogen; pollutants; rivers; wastewater treatment; water quality; water quantity; water supply; watersheds; China
Abstract:
... To sustain water-dependent economic and socio-ecological systems, natural capital and its interactions with other types of capital is gaining attention, but a clear understanding of how to manage natural capital sustainably and how to make decisions relevant to water-related ecosystem services is yet to be achieved. In this study, we extended the framing of water-related ecosystem service flows by ...
DOI:
10.1016/j.ecoser.2021.101306

15. Automatic calibration of a whole-of-basin water accounting model using a comprehensive learning particle swarm optimiser

Author:
Brett A. Bryan,   et al.   ; Lei Gao; Mac Kirby; Mobin-ud-Din Ahmad; Mohammed Mainuddin;     Show all 5 Authors
Source:
Journal of hydrology 2020 v.581 pp. 124281
ISSN:
0022-1694
Subject:
algorithms; basins; hydrologic models; prediction; watersheds; Australia
Abstract:
... We present a two-step framework for calibrating complex, many-parameter hydrological models at basin-scale. The framework first calibrates parameters for each catchment/sub-basin sequentially and then fine-tunes parameters as needed. We implemented a comprehensive learning particle swarm optimiser (CLPSO) as the calibrator and applied the two-step CLPSO tool in calibrating parameters of a water ac ...
DOI:
10.1016/j.jhydrol.2019.124281

16. Dataset of non-timber forest products use and impacts of recent climate change in the Upper Madi Watershed, Nepal

Author:
Brett A. Bryan,   et al.   ; Lila Jung Gurung; Kelly K. Miller; Susanna Venn;     Show all 4 Authors
Source:
Data in Brief 2020 v.33 pp. 106404
ISSN:
2352-3409
Subject:
climate change; data collection; ecosystems; forests; watersheds; Nepal
Abstract:
... This dataset presents data collected from household surveys from Upper Madi Watershed of Nepal describing the benefits of non-timber forest products (NTFPs) to people of mountain ecosystems, their perceptions of climate change, and perceived impacts of climate change on NTFPs ecosystem services. The data were collected from 278 households that were randomly selected from the four villages in the w ...
DOI:
10.1016/j.dib.2020.106404

17. Achieving the Sustainable Development Goals Requires Transdisciplinary Innovation at the Local Scale

Author:
Brett A. Bryan,   et al.   ; Enayat A. Moallemi; Shirin Malekpour; Michalis Hadjikakou; Rob Raven; Katrina Szetey; Dianty Ningrum; Ahmad Dhiaulhaq;     Show all 8 Authors
Source:
One earth 2020 v.3 no.3 pp. 300-313
ISSN:
2590-3322
Subject:
issues and policy; stakeholders; sustainable development; systematic review
Abstract:
... The diversity of local conditions across regions has led to numerous challenges and opportunities for the implementation of global sustainability frameworks such as the Sustainable Development Goals. A grassroots transformative change led by local communities, cities, and businesses can offer a promising approach for achieving sustainability, tailored to the unique conditions of each context. Draw ...
DOI:
10.1016/j.oneear.2020.08.006

18. Nonparametric machine learning for mapping forest cover and exploring influential factors

Author:
Brett A. Bryan,   et al.   ; Bao Liu; Lei Gao; Baoan Li; Raymundo Marcos-Martinez;     Show all 5 Authors
Source:
Landscape ecology 2020 v.35 no.7 pp. 1683-1699
ISSN:
0921-2973
Subject:
case studies; forest ecosystems; forests; land tenure; landscape ecology; rain; regression analysis; social welfare; topography; Tasmania
Abstract:
... CONTEXT: The contribution of forest ecosystem services to human well-being varies over space following the dynamics in forest cover. Use of machine learning models is increasing in projecting forest cover changes and investigating the drivers, yet references are still lacking for selecting machine learning models for spatial projection of forest cover patterns. OBJECTIVES: We assessed the ability ...
DOI:
10.1007/s10980-020-01046-0

19. Projecting Australia's forest cover dynamics and exploring influential factors using deep learning

Author:
Brett A. Bryan,   et al.   ; Long Ye; Lei Gao; Raymundo Marcos-Martinez; Dirk Mallants;     Show all 5 Authors
Source:
Environmental modelling & software 2019 v.119 pp. 407-417
ISSN:
1364-8152
Subject:
data collection; decision making; forests; land use; neural networks; Australia
Abstract:
... This study presents the first application of deep learning techniques in capturing long-term, time-continuous forest cover dynamics at a continental scale. We developed a spatially-explicit ensemble model for projecting Australia's forest cover change using Long Short-Term Memory (LSTM) deep learning neural networks applied to a multi-dimensional, high-resolution spatiotemporal dataset and run on ...
DOI:
10.1016/j.envsoft.2019.07.013

20. A novel algorithm for calculating transition potential in cellular automata models of land-use/cover change

Author:
Brett A. Bryan,   et al.   ; Majid Shadman Roodposhti; Jagannath Aryal;     Show all 3 Authors
Source:
Environmental modelling & software 2019 v.112 pp. 70-81
ISSN:
1364-8152
Subject:
algorithms; case studies; entropy; models; uncertainty; Iran
Abstract:
... Despite recent advances in quantifying land-use/cover change (LUCC) transition potential, transition rules are often not transparent and uncertainty is rarely made explicit. Here, we introduce DoTRules—a dictionary of trusted rules—as a transparent alternative to calculate transition potential in cellular automata models. Rules relate LUCC variables to the observed historical changes. Shannon entr ...
DOI:
10.1016/j.envsoft.2018.10.006