Land Use Policy

Response data from postal survey of Irish farmers regarding a) their decision to participate in forestry programs and b) the extent of their planting if they have participated.

Appendices to the journal article: Methods for landscape characterisation: a systematic review

Data on mobile home park location within neighborhoods in Los Angeles

Potential change in near surface air temperature (T2M in the paper but here labelled as AST), daytime land surface temperature (LST_day) and nighttime land surface temperature (LST_night) following a specific potential land use or land cover transition across different climate zones. The data is structured following a Tiered system as explained in the paper. Tier 1 corresponds to broader transitions and values are averaged across climate zones over the entire globe. Tier 2 corresponds to finer transitions and values are averaged across climate zones but also for different sub-continental regions. The additional permutations of T1 classes for the T2 sub-continental regions are also available and labelled T1*, as are T2 classes across the entire globe that are labelled T2*. The table contains 9 columns: (1) the name of the transition [Transition], (2) the climate zone [CZ], (3) the code of the sub-continental region [ZONE], (4) the number of (weighted) samples used for each estimation [N.w], (5) the average change in air temperature [Delta_T.mu], (6) the standard deviation in air temperature [Delta_T.sd], (7) the (weighted) standard error around the mean [Delta_T.se], (8) the tier level (T1, T2, T1*, T2*) [Tier], and (9) the variable in question (AST, LST_day or LST_night) [Var]. For more information, refer to the paper.

This is a spreadsheet that allows for quick estimation of the total economic value of forests.

Average sales prices of agricultural land in the years 2000 - 2016.

These are the raw data sets for quantifying and analyzing the use of the word resilience in the context of western forest and fire management science between 1980 and 2016. The documents table (documents.csv) contains every document used in the analysis of the use of the word resilience in western forest and fire management science between 1980 and 2016 as well as counts of the words contained in thematic dictionaries used in the analysis. The instances table (instances.csv) contains every instance of the word resilience in these documents (documents.csv) and can be linked to the documents table using the "docid" field. The text field contains the 10-word context window used for structural topic modelling resilience.

This database includes data on 262 prefecture-level cities from 2007-2016. The data on status quo newly increased construction land were collected from the China Land Market website (www.landchina.com); the data on the binding targets of construction land were collected from the general land use planning of each prefecture-level city (2006-2020); the variable data for land law enforcement are derived from the China Land and Resources Statistics Yearbook. Other variables, such as fiscal deficit, foreign direct investment, GDP, nonagricultural population, and road area, are derived from the China Urban Statistical Yearbook. The data concerning the tenure and age of the Party secretary are derived from local governments' official websites, Xinhuanet (www.xinhuanet.com), People network (www.people.com.cn) and Baidu Encyclopedia (www.baike.baidu.com).

The data set was collected in Switzerland in 2016. A trilingual survey on future energy provision in Switzerland collected 8’287 interviews from a repre-sentative sample provided by the Federal Office of Statistics; respondents where invited by postal mail to participate in the online survey. After three invitations, the response rate was at 41.7%. The data set "OHL_LUP" is a subsample of this larger sample. The 1’129 respondents (randomly drawn from the overall sample) received a module on the acceptance of (hybrid) high voltage lines.

Supplementary data to "Tracking 130 years of coastal wetland reclamation in Ria Formosa, Portugal: opportunities for conservation and aquaculture" Data consists of: S1 - Ria Formosa Land Use Change (wetlands reclamation) maps from 1885 to 2015 S2 - Estimation of total wetland area in Ria Formosa S3 - Active vs Inactive/Abandoned Productive units in Ria Formosa (Aquaculture in earth ponds and Salt farms)