@prefix dcat: <http://www.w3.org/ns/dcat#> .
@prefix dct: <http://purl.org/dc/terms/> .
@prefix foaf: <http://xmlns.com/foaf/0.1/> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

<https://data.bioheritage.nz/dataset/c751f35c-34ab-432d-930b-5289bb721ce4> a dcat:Dataset ;
    dct:description """#Tranche 2 - Pou#\r
\r
###Stimulating new ideas, approaches or syntheses that are needed to improve our biological heritage over the longer-term.###\r
\r
The BioHeritage National Science Challenge has been funded for 10 years, but reversing the decline of our biological heritage will take much, much longer than this.\r
\r
This ‘horizon’ work will complement the shorter-term research being conducted within our main programmes by re-imagining how we, as a nation, could take a better-informed approach than what is currently provided by various national strategies or operational efforts in ‘isolation’.\r
\r
Their activities also provide a way of integrating work streams on biodiversity and biosecurity and will support early career and Māori thinkers.\r
\r
**Co-leads**\r
\r
- Aroha Mead, Ngāti Awa, Ngāti Porou, Ngāti Tūwharetoa, Tuhourangi, Ngāi Tūhoe\r
\r
- Jason Tylianakis, University of Canterbury""" ;
    dct:identifier "c751f35c-34ab-432d-930b-5289bb721ce4" ;
    dct:issued "2024-07-08T02:23:17.780057"^^xsd:dateTime ;
    dct:modified "2024-08-18T23:45:20.367900"^^xsd:dateTime ;
    dct:publisher <https://data.bioheritage.nz/organization/c222f9d0-5df7-4788-8cf6-e18fd5bd0116> ;
    dct:title "Crazy & Ambitious Think Tank" ;
    dcat:distribution <https://data.bioheritage.nz/dataset/c751f35c-34ab-432d-930b-5289bb721ce4/resource/3aad10fe-179a-4f7a-bf8a-3eb7648a5c7d>,
        <https://data.bioheritage.nz/dataset/c751f35c-34ab-432d-930b-5289bb721ce4/resource/678f3b9b-36aa-4a58-a355-de55ef9ada11>,
        <https://data.bioheritage.nz/dataset/c751f35c-34ab-432d-930b-5289bb721ce4/resource/6f558c79-fc0b-4c95-a6bf-fa759d1fee62>,
        <https://data.bioheritage.nz/dataset/c751f35c-34ab-432d-930b-5289bb721ce4/resource/82725bbd-6f21-4f38-877f-c43a01bdc620>,
        <https://data.bioheritage.nz/dataset/c751f35c-34ab-432d-930b-5289bb721ce4/resource/9d6154e8-6cfc-45e6-8d89-a2fa766a150f>,
        <https://data.bioheritage.nz/dataset/c751f35c-34ab-432d-930b-5289bb721ce4/resource/bdab421a-01d8-4efe-a48b-dfea20270fdc>,
        <https://data.bioheritage.nz/dataset/c751f35c-34ab-432d-930b-5289bb721ce4/resource/ead8d839-a461-4651-90cc-df8e9d5655fc> ;
    dcat:keyword "Tranche 2" .

<https://data.bioheritage.nz/dataset/c751f35c-34ab-432d-930b-5289bb721ce4/resource/3aad10fe-179a-4f7a-bf8a-3eb7648a5c7d> a dcat:Distribution ;
    dct:description """###Species traits and community structure can drive large-scale spatial propagation of effects in ecosystems###\r
\r
**November 2023**\r
\r
**García-Callejas D, Lavorel S, Ovaskainen O, Peltzer D, Tylianakis JM 2023. Species traits and community structure can drive large-scale spatial propagation of effects in ecosystems. bioRxiv: 2023.11.15.567315.**\r
\r
**ABSTRACT**\r
\r
Species can directly and indirectly affect others across communities and habitats, yet the spatial scale over which such effects spread remains unclear. This uncertainty arises in part because the species traits and landscape structures allowing indirect effects to propagate may differ across scales. Here, we introduce a topological network metric, communicability, to explore how indirect effects propagate across space in simulated metacommunities and in a large-scale plant-frugivore network across the territory of Aotearoa New Zealand. We show that generalist birds and plants spread indirect effects efficiently at the local scale, whereas a widespread distribution further allowed species to propagate effects across the landscape. Habitat composition, rather than arrangement, was the most important landscape factor in our study, generating several hotspots of effect propagation around forested areas. Overall, our results indicate that generalist and widespread species, two characteristics associated with species invasions, are the most likely to propagate large-scale ecological impacts.\r
\r
**KEYWORDS**\r
\r
Communicability;\r
Meta-communities;\r
Indirect effects;\r
Metaweb structure;\r
Species prevalence;\r
Dispersal ability;\r
Landscape configuration;\r
Network theory""" ;
    dct:issued "2024-07-24T05:28:23.691839"^^xsd:dateTime ;
    dct:modified "2024-07-24T05:28:23.691839"^^xsd:dateTime ;
    dct:title "PAPER: Species traits and community structure effects in ecosystems" ;
    dcat:accessURL <https://doi.org/10.1101/2023.11.15.567315> .

<https://data.bioheritage.nz/dataset/c751f35c-34ab-432d-930b-5289bb721ce4/resource/678f3b9b-36aa-4a58-a355-de55ef9ada11> a dcat:Distribution ;
    dct:description """###Teach Indigenous knowledge alongside science###\r
\r
**February 2024**\r
\r
**Black A, Tylianakis JM 2024. Teach Indigenous knowledge alongside science. Science 383(6683): 592-594.**\r
\r
**ABSTRACT**\r
\r
Conflict has grown around Indigenous knowledge in education policy. There has been growing acceptance of the value of Indigenous knowledge for promoting ecological resilience, transformational approaches in stewardship, and cultural renewal within global fora such as the Intergovernmental Panel on Climate Change. However, despite increasing acceptance at a strategic high level in science-informed policy, there is often a lack of wider acceptance, application, and policy protections of Indigenous knowledge transmission in more local settings, including opposition by some scientists. We argue that Indigenous knowledge can complement and enhance science teachings, benefitting students and society in a time of considerable global challenges. We do not argue that Indigenous knowledge should usurp the role of, or be called, science. But to step from “not science” to “therefore not as (or at all) valuable and worthy of learning” is a non sequitur, based on personal values and not a scientifically defensible position.\r
\r
**KEYWORDS**\r
\r
Indigenous knowledge;\r
Education policy;\r
Ecological resilience;\r
Cultural renewal;\r
Science-informed policy;\r
Mātauranga Māori;\r
Knowledge transmission;\r
Pedagogy""" ;
    dct:issued "2024-07-08T02:29:33.209270"^^xsd:dateTime ;
    dct:modified "2024-07-08T02:29:33.209270"^^xsd:dateTime ;
    dct:title "PAPER: Teach Indigenous knowledge alongside science" ;
    dcat:accessURL <https://doi.org/10.1126/science.adi9606> .

<https://data.bioheritage.nz/dataset/c751f35c-34ab-432d-930b-5289bb721ce4/resource/6f558c79-fc0b-4c95-a6bf-fa759d1fee62> a dcat:Distribution ;
    dct:description """###The recovery of functional diversity with restoration###\r
\r
**February 2022**\r
\r
**O'Brien SA, Dehling DM, Tylianakis JM 2022. [The recovery of functional diversity with restoration](https://esajournals.onlinelibrary.wiley.com/doi/epdf/10.1002/ecy.3618). Ecology 103(3): e3618.**\r
\r
**ABSTRACT**\r
\r
Ecological restoration aims at recovering biodiversity in degraded ecosystems, and it is commonly assessed via species richness. However, it is unclear whether increasing species richness in a site also recovers its functional diversity (FD), which has been shown to be a better representation of ecosystem functioning. We conducted a quantitative synthesis of 30 restoration projects and tested whether restoration improves FD. We compared actively and passively restored sites with degraded and reference sites with respect to four key measures of FD (functional richness, evenness, dispersion, and turnover) and two measures of species diversity (richness and evenness). We separately analyzed longitudinal studies (which monitor degraded, reference, and restored sites through time) and space-for-time substitutions (which compare at one point in time degraded and reference sites with restored sites of different ages).\r
\r
**KEYWORDS**\r
\r
active; biodiversity; linear mixed-effects models; passive recovery; traits\r
""" ;
    dct:issued "2024-07-16T01:54:43.917783"^^xsd:dateTime ;
    dct:modified "2024-07-16T01:54:43.917783"^^xsd:dateTime ;
    dct:title "PAPER: Recovery of functional diversity with restoration " ;
    dcat:accessURL <https://doi.org/10.1002/ecy.3618> .

<https://data.bioheritage.nz/dataset/c751f35c-34ab-432d-930b-5289bb721ce4/resource/82725bbd-6f21-4f38-877f-c43a01bdc620> a dcat:Distribution ;
    dct:description """###The propagation of disturbances in ecological networks###\r
\r
**June 2024**\r
\r
**Martins LP, Garcia-Callejas D, Lai HR, Wootton KL, Tylianakis JM 2024. [The propagation of disturbances in ecological networks](https://www.sciencedirect.com/science/article/pii/S016953472400034X/pdfft?md5=4dc5b4ce9f3dbdbd4fdebfc24738ab2d&pid=1-s2.0-S016953472400034X-main.pdf). Trends Ecol Evol.**\r
\r
**HIGHLIGHTS**\r
\r
Network science has revealed that the architecture of many complex biological, physical, and social systems facilitates the direct and indirect propagation of disturbances.\r
\r
Ecological disturbances, such as species extinctions and the disruption of their interactions by environmental change drivers, may propagate across space and time. However, the scale over which these impacts propagate remains largely unknown.\r
\r
Ecological disturbances vary in their propagation pathways and effects on network structure and functioning. The characteristics of species and of their interaction networks and metanetworks contribute to predicting the rate and extent to which different disturbances spread across ecological communities.\r
\r
The identification of spatial or temporal boundaries for ecological networks is key to capturing metanetwork dynamics and the scale over which disturbance effects can propagate.\r
\r
**KEYWORDS**\r
\r
cascading impacts; ecological disturbance; indirect effects; species interactions; trophic cascades\r
\r
\r
""" ;
    dct:issued "2024-07-08T03:59:47.489736"^^xsd:dateTime ;
    dct:modified "2024-07-08T03:59:47.489736"^^xsd:dateTime ;
    dct:title "PAPER: The propagation of disturbances in ecological networks" ;
    dcat:accessURL <https://doi.org/10.1016/j.tree.2024.01.009> .

<https://data.bioheritage.nz/dataset/c751f35c-34ab-432d-930b-5289bb721ce4/resource/9d6154e8-6cfc-45e6-8d89-a2fa766a150f> a dcat:Distribution ;
    dct:description """###Social–ecological connections across land, water, and sea demand a reprioritization of environmental management###\r
\r
**June 2022**\r
\r
**Gladstone-Gallagher RV, Tylianakis JM, Yletyinen J, Dakos V, Douglas EJ, Greenhalgh S, Hewitt JE, Hikuroa D, Lade SJ, Le Heron R, Norkko A, Perry GLW, Pilditch CA, Schiel D, Siwicka E, Warburton H, Thrush SF. 2022. [Social-ecological connections across land, water, and sea demand a reprioritization of environmental management](https://online.ucpress.edu/elementa/article-pdf/10/1/00075/715281/elementa.2021.00075.pdf). Elementa-Science of the Anthropocene 10(1).**\r
\r
**ABSTRACT**\r
\r
Despite many sectors of society striving for sustainability in environmental management, humans often fail to identify and act on the connections and processes responsible for social–ecological tipping points. Part of the problem is the fracturing of environmental management and social–ecological research into ecosystem domains (land, freshwater, and sea), each with different scales and resolution of data acquisition and distinct management approaches. We present a perspective on the social–ecological connections across ecosystem domains that emphasize the need for management reprioritization to effectively connect these domains. We identify critical nexus points related to the drivers of tipping points, scales of governance, and the spatial and temporal dimensions of social–ecological processes. We combine real-world examples and a simple dynamic model to illustrate the implications of slow management responses to environmental impacts that traverse ecosystem domains. We end with guidance on management and research opportunities that arise from this cross-domain lens to foster greater opportunity to achieve environmental and sustainability goals.\r
\r
**KEYWORDS**\r
\r
Cross-domain, Cumulative effects, Ecosystem-based management, Hilltops to ocean, Tipping points""" ;
    dct:issued "2024-07-16T01:59:23.591447"^^xsd:dateTime ;
    dct:modified "2024-07-16T01:59:23.591447"^^xsd:dateTime ;
    dct:title "PAPER: Social-ecological reprioritision of environmental management " ;
    dcat:accessURL <https://doi.org/10.1525/elementa.2021.00075> .

<https://data.bioheritage.nz/dataset/c751f35c-34ab-432d-930b-5289bb721ce4/resource/bdab421a-01d8-4efe-a48b-dfea20270fdc> a dcat:Distribution ;
    dct:description """###Birds optimize fruit size consumed near their geographic range limits###\r
\r
**July 2024**\r
\r
**Martins LP, Stouffer DB, Blendinger PG, Bohning-Gaese K, Costa JM, Dehling DM, Donatti CI, Emer C, Galetti M, Heleno R and others 2024. [Birds optimize fruit size consumed near their geographic range limits](https://www.science.org/doi/reader/10.1126/science.adj1856). Science 385(6706): 331-336. **\r
\r
**ABSTRACT**\r
\r
Animals can adjust their diet to maximize energy or nutritional intake. For example, birds often target fruits that match their beak size because those fruits can be consumed more efficiently. We hypothesized that pressure to optimize diet—measured as matching between fruit and beak size—increases under stressful environments, such as those that determine species’ range edges. Using fruit-consumption and trait information for 97 frugivorous bird and 831 plant species across six continents, we demonstrate that birds feed more frequently on closely size-matched fruits near their geographic range limits. This pattern was particularly strong for highly frugivorous birds, whereas opportunistic frugivores showed no such tendency. These findings highlight how frugivore interactions might respond to stressful conditions and reveal that trait matching may not predict resource use consistently.\r
\r
**KEYWORDS**\r
\r
Gape size;\r
Geographic range edges;\r
Frugivory;\r
Trait mismatching;\r
Feeding interaction rate;\r
Model selection""" ;
    dct:issued "2024-07-25T00:25:00.551104"^^xsd:dateTime ;
    dct:modified "2024-07-25T00:25:00.551104"^^xsd:dateTime ;
    dct:title "PAPER: Birds optimize fruit size near range limits" ;
    dcat:accessURL <https://doi.org/10.1126/science.adj1856> .

<https://data.bioheritage.nz/dataset/c751f35c-34ab-432d-930b-5289bb721ce4/resource/ead8d839-a461-4651-90cc-df8e9d5655fc> a dcat:Distribution ;
    dct:description """###Online presentation from Crazy & Ambitious 4: Māori conservation map\r
\r
**April 2024**\r
\r
Online presentation from Crazy & Ambitious 4: Māori conservation map, with Aroha Mead, Independent Research Director""" ;
    dct:issued "2024-08-12T04:55:03.469517"^^xsd:dateTime ;
    dct:modified "2024-08-12T04:55:03.469517"^^xsd:dateTime ;
    dct:title "WEBINAR: C&A4 Māori conservation map" ;
    dcat:accessURL <https://youtu.be/g4luY4E09tI> .

<https://data.bioheritage.nz/organization/c222f9d0-5df7-4788-8cf6-e18fd5bd0116> a foaf:Organization ;
    foaf:name "Challenge Inventory" .

