Assessing land suitability and spatial variability in lucerne yields across New Zealand

Teixeira, Edmar; Guo, Jing; Liu, Jian; Cichota, Rogerio; Brown, Hamish E.; Sood, Abha; Yang, Xiujuan; Hannaway, D. B.; Moot, Derrick J.

doi:10.1016/j.eja.2023.126853

Cited by 5 publications

(2 citation statements)

References 55 publications

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“…Further development of the APSIM lucerne model for dryland is needed to explore the sustainability of legume monocultures under future climate scenarios across New Zealand. (Teixeira et al 2023). This knowledge will help increase production, reduce greenhouse gas emissions and give farmers support to keep farming into the future.…”

Section: Resilient Foragesmentioning

confidence: 99%

“…Yield simulations were performed with both models at a 5 km resolution across New Zealand, in areas assumed to be suitable for lucerne growth. Specifically, these excluded locations with slopes >15 degrees and annual rainfall >1,800 mm giving a total of 5,228 grid cells of 25 km 2 across New Zealand (Teixeira et al 2023). The APSIM model was also used to validate the outputs of the TGM lucerne yield model.…”

Section: Modelling Legume Yieldmentioning

confidence: 99%

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Hill Country Futures - Resilient farmers and resilient forages for the future

Keeling,

Sutherland,

Moot

et al. 2023

Journal of NZ Grasslands

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A thriving hill country farming sector is crucial for New Zealand’s economy and its regions. However, it faces numerous challenges, such as increased regulations, and changing societal expectations. To ensure the longterm success and well-being of farmers, farm systems, the environment, and rural communities, support is essential for building lasting resilience. To address some of these challenges, the Hill Country Futures Partnership programme was initiated, receiving $8.1 million funding over five years. This programme, cofunded by Beef + Lamb New Zealand (B+LNZ), the Ministry of Business, Innovation and Employment, PGG Wrightson Seeds, and RAGT New Zealand, concluded in 2023. During the programme, the farming community were actively engaged, and a collaborative research approach was employed involving B+LNZ, farmers, universities, Crown Research Institutes, and consulting agencies. The programme consisted of interconnected workstreams with a focus on resilient farmers and future-oriented forages. It generated a wide range of resources, including easily accessible extension materials, tools, and scientific publications, covering social, environmental, and technical aspects to support New Zealand’s hill country farming systems. And it showed how a collaborative approach, inclusive of researchers and farmers with diverse backgrounds and expertise, can help create a more resilient hillcountry future.

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Section: Resilient Foragesmentioning

confidence: 99%

Section: Modelling Legume Yieldmentioning

confidence: 99%

Hill Country Futures - Resilient farmers and resilient forages for the future

Keeling,

Sutherland,

Moot

et al. 2023

Journal of NZ Grasslands

View full text Add to dashboard Cite

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Comparison of three reanalysis‐driven regional climate models over New Zealand: Climatology and extreme events

Campbell,

Gibson,

Stuart

et al. 2024

Intl Journal of Climatology

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Three ~12‐km reanalysis‐driven regional climate models (RCMs) are evaluated in terms of capturing climatologies and extremes of precipitation, temperature and surface wind over Aotearoa/New Zealand (NZ). NZ provides an excellent case study for evaluating high‐resolution RCMs due to its coastal and complex terrain and isolated geographical position in the midlatitudes, exposed to both tropical and polar influences. Overall, we find that the RCMs faithfully reproduce the observed climate, with precipitation and temperature climatologies particularly well‐captured. However, the RCMs display significant differences from observations in capturing the surface wind climatology, highlighting a remaining key challenge. The excess “drizzle problem” is apparent to varying degrees, leading to a weaker representation in the length of meteorological drought in some regions. The RCMs also diverge in reproducing diurnal temperature range which appears partly related to cloud cover. Finally, we discuss the important role of observational uncertainty in the context of model evaluation.

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