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11 results for “Land economics”
CS3 Land-based IMTA abalone South Africa - Socio economic analysis
<p>Data set builds on dataset and bio-economic modelling "CS3 Land-based abalone IMTA - bioeconomic model South Africa 2022" (available in the AquaVitae community in Zenodo) by considering the integrated inclusion of sea cucumbers in abalone farming. It considers three different impacts of including sea cucumbers and compares the socio-economic effects in these with a baseline scenario of abalone farming without sea cucumbers.</p>
Dataset of 'Unequal Impacts of Urban Industrial Land Expansion on Economic Growth and Carbon Dioxide Emissions'
<p>This dataset is an integral component of the research presented in 'Unequal Impacts of Urban Industrial Land Expansion on Economic Growth and Carbon Dioxide Emissions' by Yoo et al., 2024. It encompasses:</p> <p><strong>1. Links to two publicly accessible datasets:</strong></p> <ul> <li>Industrial land mapping data derived from Google Earth Engine.</li> <li>Data employed in a longitudinal analysis to evaluate the effects of urban industrial land expansion on CO2 emissions and economic growth.</li> </ul> <p><strong>2. Comprehensive input data </strong>utilized in Mixed Effects Random Forest (MERF) longitudinal modeling to assess the separate impacts on CO2 emissions and economic growth in developing and developed regions.</p> <p><strong>3. Python scripts provided for:</strong></p> <ul> <li>Executing MERF longitudinal modeling.</li> <li>Computing SHAP (SHapley Additive exPlanations) values to interpret the contributions of each predictor variable.</li> <li>Generating figures that visually summarize the findings for both developing and developed regions.</li> </ul> <p> </p> <p><strong>The manuscript is available</strong> at: <a href="https://doi.org/10.1038/s43247-024-01375-x"><span>https://doi.org/10.1038/s43247-024-01375-x</span></a></p> <div> <div> </div> </div>
Modeling the economic and environmental impacts of land scarcity under deep uncertainty
<p>Code and input files for the Dolan et al. 2021 paper "Modeling the economic and environmental impacts of land scarcity under deep uncertainty"</p>
Leaf economics in a three‐dimensional environment: Testing leaf trait responses in vascular epiphytes to land use, climate, and tree zone
<p>1. The study of functional traits offers predictive power for community ecology. Particularly in cases where individual species are difficult to study, known properties of trait spectra, such as the leaf economics spectrum (LES), and trait-environment relationships can provide crucial generalizable information that can contribute to forecasts of distributional shifts in response to the abiotic effects of climate and land use changes.</p> <p>2. Vascular epiphytes have been proposed as indicators of environmental change, but we know little about the ecology of most species. Key functional trait assumptions are based on terrestrial plants; testing these in epiphytes verifies their universality and will inform applying functional traits in predicting epiphyte responses to climate and land use change.</p> <p>3. In this study, we use functional traits from 37 vascular epiphyte species from forests and shade coffee farms at two sites in northern Nicaragua. We compare correlations among traits and intraspecific trait variances with those of terrestrial plants and among epiphyte taxonomic groups. We also test trait responses to environmental differences between sites and land use types, and within zones of the tree.</p> <p>4. We find that epiphyte leaf traits fall toward the slower end of the LES, but with about one-third lower leaf nitrogen per change in specific leaf area (SLA) relative to terrestrial herbaceous plants. Bromeliads show less relationship between these traits than other epiphyte groups and also deviate in other trait interrelationships, suggesting unique leaf construction.</p> <p>5. Trait-environment relationships varied most strongly along vertical gradients within trees, but some traits, including SLA and carbon isotope ratio, also responded to land use and site differences.</p> <p>6. We present evidence that trait relationships established for terrestrial plants appear to translate to epiphytes, but identify some possible caveats. Strong trait response to vertical gradients within trees suggests that within-canopy shifts could provide resilience to climate and land use changes for some epiphyte species.</p>
Data and code of Land use scenario for 'Development of common socio-economic scenarios for climate change impact assessments in Japan'
<p>Land use scenario calculation: Executable files, source code files and data files<br> This dataset contains program codes and input data used for reproducing land use scenarios explained in Chapter 5.2 in Yoshikawa et al. (submitted to GMDD).</p> <p>We found a few fatal errors in the following code.<br> These code were fixed from version 2 (http://dx.doi.org/10.5281/zenodo.7090670).<br> /Step3/a01_calc_land_use.py<br> /Step3/a01_calc_land_use_std.py<br> /Step3/a01_calc_land_use_rate.py<br> /Step3/run03.bat</p>
Leaf economics in a three‐dimensional environment: Testing leaf trait responses in vascular epiphytes to land use, climate, and tree zone
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Dynamic evolution and scenario simulation of habitat quality under the impact of land-use change in the Huaihe River Economic Belt, China
<p>1. Land-use data</p> <p>Meaning of the value in the layers:<br> 11: Paddy field <br> 12: Dry land<br> 21: Forestland<br> 22: Shrubland<br> 23: Sparse woodland<br> 24: Other woodland<br> 31: High coverage grassland<br> 32: Medium coverage grassland<br> 33: Low coverage grassland<br> 41: River canal<br> 42: Lake<br> 43: Reservoir and pond<br> 44: Permanent glacial snow<br> 45: Coastal mud flat <br> 46: Inland tidal flat<br> 51: Urban land<br> 52: Rural residential land<br> 53: Industrial and traffic land<br> 61: Dene<br> 62: Gobi Desert<br> 63: Saline and alkaline land<br> 64: Marshland<br> 65: Bare land<br> 66: Bare rock<br> 67: Other unused land</p> <p>2. GDP data (Meaning of the value in the layer: yuan/km<sup>2</sup>)</p> <p>3. Population density data (Meaning of the value in the layer: person/km<sup>2</sup>)</p> <p>4. Meteorological data</p> <p>temperature data (unit: ℃)</p> <p>perception data(unit:mm)</p> <p>5. Terrain data including elevation, slope and aspect</p> <p>6. Vector data including railways, highways, national roads, provincial roads and county roads</p>
Data from: Root community traits along a land use gradient: evidence of a community-level economics spectrum
1. There is a fundamental trade-off between leaf traits associated with either resource acquisition or resource conservation. This gradient of trait variation, called the economics spectrum also applies to fine roots but whether it is consistent for coarse roots or at the plant community level remains untested. 2. We measured a set of morphological and chemical root traits at a community level (functional parameters; FP) in 20 plant communities located along land-use intensity gradients and across 3 climatic zones (Tropical, Mediterranean and Montane). We hypothesized (i) the existence of a root economics spectrum in plant communities consistent within root types (fine, < 2 mm; coarse, 2-5 mm) but that ii) variations in root traits occur with soil depths (top 20 cm of soil and 100-150 cm deep) and iii) along land use gradients thus leading to variation in root FP. 3. Root FP co-varied, in line with the resource acquisition-conservation trade-off, from communities with root FP syndromes associated to resource acquisition (e.g. high specific root length, SRL; thin diameters and low root dry matter contents, RDMC) to root FP syndromes associated with resource conservation (e.g. low SRL, thick diameters and high RDMC). This pattern was consistent for both fine and coarse roots indicating a strong consistency of a trade-off between resource acquisition and conservation for plant roots. 4. Roots had different suites of traits at different depths, suggesting a disparity in root function and exploitation capacities. Shallow, fine roots were thinner, richer in nitrogen and with lower lignin concentrations associated to greater exploitation capacities compared to deep, fine roots. However, shallow coarse roots were richer in nitrogen, carbon and soluble concentrations than deep, coarse roots. 5. Fine root parameters of highly disturbed, herbaceous dominated plant communities in poorer soils were associated to foraging strategies, i.e. greater SRL and lower lignin and RDMC than those from less disturbed communities. Coarse roots however, were less sensitive to the land use gradient. 6. Synthesis This study demonstrates the existence of a general trade-off in root construction at a community level, which operates within all root types suggesting that all plant tissues are controlled by the trade-off between resource acquisition and conservation.
Supporting Data for "Innovative reforestation mosaics on marginal land in the globally important Mata Atlântica biome can create climate and economic co-benefits"
<p>This data is related to the article "Innovative reforestation mosaics on marginal land in the globally important Mata Atlântica biome can create climate and economic co-benefits."</p>
Data from: Root community traits along a land use gradient: evidence of a community-level economics spectrum
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Data from: Effects of land use, topography, climate and socio-economic factors on geographical variation pattern of inland surface water quality in China
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