Evidence map›Paper›PMID 36110340›Full record

ArticleSustainability2021

Quantifying National-Scale Changes in Agricultural Land Exposure to Fluvial Flooding.

Heather Craig, Ryan Paulik, Utkur Djanibekov, Patrick Walsh, Alec Wild, Benjamin Popovich

Open access · goldAbstract read
In one paragraph

Article in Sustainability, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.3field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 16 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 2 countries.

Heather CraigNational Institute of Weather and Atmospheric Research (NIWA), Auckland 1010, New Zealand.
Ryan PaulikNational Institute of Weather and Atmospheric Research (NIWA), Auckland 1010, New Zealand.ORCID 0000-0003-1147-6816
Utkur DjanibekovManaaki Whenua-Landcare Research, 231 Morrin Road, St. Johns, Auckland 1072, New Zealand.
Patrick WalshManaaki Whenua-Landcare Research, 231 Morrin Road, St. Johns, Auckland 1072, New Zealand.
Alec WildNational Institute of Weather and Atmospheric Research (NIWA), Auckland 1010, New Zealand.
Benjamin PopovichNational Institute of Weather and Atmospheric Research (NIWA), Auckland 1010, New Zealand.
National Institute of Water and Atmospheric Research · NZEnvironmental Protection Agency · USManaaki Whenua – Landcare Research · NZ

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

This study quantifies the exposure of agricultural land in Aotearoa-New Zealand's (A-NZ) flood hazard zones (FHZs). We developed a spatio-temporal flood exposure framework to quantify the extent of the area and yearly earnings before income and tax (EBIT) for arable, forestry, horticulture, sheep and beef, and dairy land in FHZs between 1990 and 2016. In 1990, ~1.57 million hectares of agricultural land were exposed, decreasing slightly to ~1.50 million hectares by 2016. However, there was a change in the lower-value types of agricultural land uses being exposed, such as for sheep and beef farming and forestry, toward dairy farming (from ~364,000 hectares in FHZs in 2008 to ~471,000 hectares in 2016). Dairy farming is more intensively staffed with larger amounts of fixed assets, making them less resilient to flood impacts. Despite this, conversion to dairy farming even within the identified FHZs has been driven by the increasing profitability of the enterprise. As a result of both the production value change and land area increases, the dairy EBIT values within FHZs rose rapidly from NZD 382 million to NZD 1.25 billion between 2008 and 2012, creating significantly more economic exposure for A-NZ. This trend is particularly evident in the Southland, Canterbury, and Waikato regions. Similarly, in the Marlborough, Tasman, and Hawke's Bay regions, there was an increase in high-value horticultural land-predominantly viticulture-in FHZs (a increase of NZD 321 million in annual EBIT for exposed horticulture across the three regions). Identifying sub-national trends in agricultural flood exposure allows for a detailed analysis of the likely impacts in high-risk areas, which can inform emergency management plans and mitigative actions that diminish the economic impacts from flood events.

Indexed as

agriculturedairy farmingeconomic exposureexposurefloodingland useRiskScape

Identifiers

PMID36110340
PMCPMC9472325
OpenAlexW3211409252

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.