Private Landowners Research Articles

Climate mitigation potential of natural climate solutions and clean energy on The Nature Conservancy properties in California, USA.

Natural climate solutions (NCS) and transitioning to clean energy can reduce greenhouse gases and contribute to mitigating climate change. Private landowners with large holdings, such as conservation organizations like The Nature Conservancy, have set ambitious goals to reduce net emissions and increase sequestration on their lands by implementing NCS. We assessed the potential carbon dioxide-equivalent (CO2e) reduction from feasible NCS, specifically implementing new restoration and agricultural management activities, and transitions to clean energy on The Nature Conservancy, California chapter's fee-owned and conservation easement properties. We compared the total CO2e reduction from potential new NCS activities to the impact from ongoing NCS activities, the chapter's 2030 goal, and the state's reduction goal for natural and working lands to understand how the organization can contribute to climate mitigation. We found that implementing NCS on 37 fee-owned properties (63,175 MTCO2e year -1) and clean energy on 10 fee-owned properties (488 MTCO2e year -1) combined would not reach the chapter's 2030 goal (72,000 MTCO2e year -1), and there can be tradeoffs between maximizing CO2e reduction and protecting conservation values. However, ongoing changes to forest management on a single conservation easement property, where another non-profit harvests timber and sells carbon credits, currently contributes 147,749 MTCO2e year -1, more than two times the 2030 goal and representing 7.4% of the state's annual goal. Our results suggest that The Nature Conservancy, California chapter would need to implement NCS on some of the conservation easements or consider future land protection deals with carbon rich ecosystems or high impact NCS to reach their CO2e reduction goal.

Mapping municipal land policies: applications of flexible zoning for densification

Municipalities develop individual land policies and can choose not to apply available planning instruments or to apply them differently than intended. While this strategic action can endanger the effectiveness of public policies, it is rarely considered in large-scale analyses. A new geospatial method is presented that captures such strategic action. Empirical evidence from the Canton of Bern, Switzerland, reveals municipalities’ application of planned unit development (PUD), an instrument potentially allowing for flexible zoning negotiations to promote densification. Detailed zoning and building data from the period 2002–23 are used to examine the variation in PUD application by municipalities and whether they apply it to enable densification. Distinguishing by municipality type (i.e. urban core, small town, suburban, rural or touristic) reveals that PUD application is connected to projects with higher building density, more complex parcel changes and, for urban and suburban municipalities, higher density gains in low-density neighbourhoods. However, rural municipalities seldom apply PUD. New indicators of planning complexity provide an insight into whether municipalities apply instruments to enable densification under difficult circumstances. Practice relevance Many policy instruments are provided for in the law, but it is unclear whether and how they are used in practice by municipalities. Following urban densification objectives, municipalities often struggle to implement planning or housing policy instruments, which target private landowners and developers. Therefore, evaluating how different municipalities apply policy instruments and how this application contributes to reaching stated policy goals is crucial. Therefore, this research explores new ways to capture the effect of policy instruments with spatial analysis. Furthermore, by examining the real-world implementation of PUDs, this research sheds light on possible barriers to PUD application for densification, thereby helping policymakers and urban planners improve the effectiveness of public policies.

Prescribed Fire Programming Experiences, Needs, and Challenges of Southeastern United States Extension Professionals

Prescribed fires are used to manage natural areas and mitigate potentially intense and catastrophic wildfires. Education and other outreach activities can increase the acceptance and adoption of prescribed fire use among private landowners. Land grant university-based Extension services are often a trusted source of information in communities on a variety of topics, but no published research has previously assessed Extension’s capacity for prescribed fire education and training. This study uses semi-structured interviews to explore the knowledge and experiences of 23 southeastern U.S. Extension professionals with prescribed fire outreach. Thematic analysis of the interviews guided by Ostrom’s social-ecological systems framework revealed that these Extension professionals face a variety of challenges stemming from their institutions, audiences, and own backgrounds that complicate prescribed fire outreach. These challenges can be overcome, allowing Extension professionals to conduct fire science outreach and play an active role in facilitating networks to build capacity through cooperation.

Assessing GEDI data fusions to map woodpecker distributions and biodiversity hotspots

Abstract In forested systems, woodpecker species richness has been linked with songbird diversity, and identifying woodpecker biodiversity hotspots may contribute important information for conservation planning. The availability of global forest structure data via the Global Ecosystem Dynamics Investigation (GEDI) instrument provides a new tool for examining broad extent relationships amongst environmental variables, forest structure, and woodpecker diversity hotspots. Within the Marine West Coast Forest ecoregion, USA, we used eBird data for 7 woodpecker species to model encounter rates based on bioclimatic variables, process data (e.g. duration and timing of survey), MODIS forest land cover data, and GEDI-fusion metrics. The GEDI-fusion metrics included foliage height diversity (fhd), rh98 (a representation of canopy height), and canopy cover, which were created by combining GEDI data with Landsat, Sentinel-1, topographic, and climatic information within a random forest modeling framework. AUCs for the species-specific models ranged from 0.77–0.98, where bioclimatic and process predictors were amongst the most important variables for all species. GEDI-fusion forest structure metrics were highly ranked for all species, with fhd included as a highly ranked predictor for all species. The structural metrics included as top predictors for each species were reflective of known species-specific habitat associations. Hotspots in this ecoregion tended to be inland and occurred most often on privately-owned lands. Identification of hotspots is the first step towards management plans focused on biodiversity, and understanding ownership patterns is important for future conservation efforts. The near-global extent of GEDI data, along with recent studies that recommend woodpeckers as indicators of biodiversity across multiple forest types at local and global scales, suggest that synthesis of GEDI-derived data applied to woodpecker detection information might be a powerful approach to identifying biodiversity hotspots.

Species distribution models predict potential habitat for the endangered New Mexico jumping mouse

AbstractThe New Mexico jumping mouse (Zapus luteus) is a federally endangered species that relies on riparian sites of the southwestern United States. Only isolated populations occur throughout its range and detecting potential suitable environments and identifying new populations are important for long‐term conservation of genetic diversity and habitat restoration by management agencies. We used a presence‐only data approach compiled from multiple surveys since 2000 in Arizona, Colorado, and New Mexico with bioclimatic and vegetation variables to generate species distribution models for the species. Our models predicted environmentally suitable areas outside the current species management units that could be prioritized in surveys. Our models also highlighted opportunities for collaboration among federal, state, tribal, and private landowners and managers to secure habitat and connectivity for the species and its long‐term survival.

An examination of opportunities and risks to private forest planning efforts among Connecticut private forest owners

Private landowners own 56 % of forest lands in the United States, yet only 11 % of forest landowners have a management plan despite the ability of a plan to help establish goals and actions to promote forest stewardship. We conducted a web-based survey targeting private forest owners in Connecticut to understand the motivations and barriers to participating in a management planning process and paired the results with economic and environmental targets spatially. Landowners without plans differed from plan holders by gender identity and average parcel size, in addition to being less familiar with educational programs, and having personal priorities that did not include harvesting timber. Our findings indicate that barriers still inhibit engaged owners from seeking out and obtaining plans, supporting the notion that financial incentives associated with planning are less of a driver for active stewardship than alignment with landowner priorities. Survey results informed the development of forest opportunity and risk zones that incorporated social, economic, and environmental variables.

Range-Wide Assessment of Recent Longleaf Pine (Pinus palustris Mill.) Area and Regeneration Trends

Longleaf pine (Pinus palustris Mill.) is a conifer historically associated with an open forest ecosystem that extended across much of the coastal plain of the Southeastern United States. It now exists mainly in isolated fragments following the conversion of forests and the long-term disruption of the low-intensity fire regime upon which the species depends. Recent decades have seen efforts to restore longleaf pine forests by government and private landowners. This was reflected in analyses of national forest inventory data during two time periods, ca. 2009–2015 and 2016–2021, that showed increases in the estimated number of longleaf pine trees, the area of the longleaf pine forest type, and the number and area of planted longleaf pine, along with growth in mean plot-level longleaf pine carbon and importance value. At the same time, we found a decrease in the overall forest area containing longleaf pine, manifested across a variety of other forest types. These results point to a dynamic through which forests dominated by longleaf pine are becoming more widespread via restoration, while forests in which the species is a less important component are transitioning to other forest types or land uses. We also detected a decrease over time in the estimated number of longleaf seedlings across most states and forest types and a decline in naturally regenerated longleaf pine. To further assess regeneration trends in longleaf pine, we calculated the estimated proportion of small trees (seedlings and saplings) for the entire species and for seed zone sub-populations. We found a species-wide decrease in the proportion of small trees, from 82.1 percent to 75.1 percent. This reduction was most pronounced along the edges of the species distribution and could indicate less sustainable levels of regeneration in some areas. These results underscore the challenges of facilitating natural regeneration in this important species.

Exploring the social acceptability of hybrid sweetgum plantations in the south-central United States

Hybrid sweetgum has potential as a dual-purpose plantation in the southern United States due to its rapid growth and suitability for planting on a wide range of sites. To understand its social acceptability, a survey instrument was administered among 3,000 private landowners in the states of Texas, Oklahoma, Louisiana, and Arkansas. The survey results showed that a considerable percentage of landowners (41 %) were uncertain and would probably benefit from more information available to them on the topic. A multinomial logit analysis found that landowners who had timber management objectives were more interested in growing hybrid sweetgum if it was profitable and practically feasible. Similarly, female landowners and those having higher education were found to be more interested in growing hybrid sweetgum. Study findings suggest a need for outreach on economic feasibility, management, start-up costs, and tax implications concerning hybrid sweetgum plantations.

Tree species diversity in managed Acadian forests of Eastern Canada

Maintaining forest diversity is an important value in long range management planning. This study was conducted in the ecologically diverse Acadian forest region in the Province of New Brunswick, Canada across 1.65 million hectares of publicly owned (Crown) and privately owned (Freehold) land. Tree species diversity using Hill numbers was evaluated across 21 forest type/age class combinations (groups) using 1691 sample plots to assess tree species richness (0D), typical species (1D), and abundant species (2D). Across the entire study area there were 0D = 31.0 total tree species observed, 1D = 11.5 typical species, and 2D = 7.0 abundant species. Among the 21 forest types/age class combinations, the Hill numbers ranged from 0D = 16.0–28.3, 1D = 5.6–11.5, and 2D = 3.5–8.4. A comparison of public and private land ownerships showed minor differences in tree species diversity at the landscape level. More intensively managed forest types (e.g., planted stands and naturally regenerated stands with silvicultural interventions) had similar levels of landscape-scale tree species diversity as comparable forest stands receiving no silvicultural interventions. This suggests that current management practices are maintaining tree species diversity across the landscape and highlights the importance of tailored management regimes for different forest types to support this diversity.

Kinerja Pegawai Kecamatan Merigi Sakti Kabupaten Bengkulu Tengah Dalam Pembuatan Surat Keterangan Tanah

This research purpose is to find out the performance of employees in creating land certificate at Merigi Sakti District of Seluma regency. This research is descriptive qualitative research. Data are collected by using interview, observation and documentation. In this researchthere are 4 informants, 2 people as key informants and the other 2 as main informant. This research use performance theory (Mahsum, 2006: 7) with results as below: 1. The input: in making land certificate, there was no any free people have to pay, everything is free because there was an instruction from regency government, 2. Process: in making land certificate, the process was not completed on time because the certificate finished more than one month and because of that society started not to believe with this officers, 3. The output, the officer doesn’t have target to indicate how many certificates must be finished because it depends an the number of requested people. 4. Outcome the quality of the certificate is better than before and the officers are skilled based on their skill background, 5. Benefit, the awareness level of society about the benefit from certificate are quite high almost all land have certificate personally, 6. Impact, the positive inpcat from having land certificate is about the legal low of private land ownership which regulated by laws of land by nation, the price of landis high and can be used as a collateral to finance department to simplity the loan.

Revealing agricultural land ownership concentration with cadastral and company network data

AbstractIn many high-income countries, agricultural land is highly concentrated in a few hands, but detailed knowledge of ownership structures is limited. We examined land ownership structures and agricultural land concentration for the entire state of Brandenburg, Germany (1.3 million ha), using cadastral and company network data. Our aim was to characterise all landowners, analyse the degree of ownership concentration, and examine the role of the largest landowners in more detail. We found a high fragmentation of ownership among 185,000 different owners. Most of the land was owned by individuals not active in agriculture and only a third of the land was owned by farmers and other agricultural actors. Absentee ownership covered a quarter of the land. Ownership concentration was low to moderate in most regions and reached high levels in only a few areas. The largest owners were public institutions, private investors and nature protection institutions. Areas where public institutions owned a lot of land showed high concentrations, but also some areas where private landowners owned a lot of land. In summary, our analysis provides rare information on the concentration of agricultural land ownership in a large region. Such analysis facilitates better justification and design of policies that regulate agricultural land markets.

Is human activity driving climate change? Perspectives from Australian landholders

Australian agriculture and the rural communities that depend upon it are expected to experience significant impacts from climate change. The recognition of the human role in climate change is central in the design and implementation of effective strategies to mitigate and adapt to its impacts. Understanding the extent to which members of the public, such as private landholders, acknowledge human-caused climate change is critical, given their role as custodians of large tracts of natural resources. Rural social benchmarking studies are a useful tool for understanding landholder values and beliefs. Here, we use a rural social benchmarking survey to examine landholder agreement regarding the extent to which humans contribute to climate change across four Australian agricultural regions. We perform hierarchical clustering analysis to determine subgroups of landholders with similar patterns of survey responses. We then evaluate this effect of cluster membership and demographic characteristics using Bayesian ordinal regression on levels of agreement with the statement “that human activities are influencing climate change.” Our findings reveal three distinct clusters based on patterns of responses to survey questions eliciting participants values beliefs and norms. Cluster membership exhibits the strongest positive influence on agreement (0.52, 95% CI: 0.37 to 0.67). This was followed by higher education levels (0.32, 95% CI: 0.22 to 0.41). Gender showed a moderately uncertain but positive influence. Years residing on the property, participant age, and property size showed very little influence, while rainfall zones showed a negative influence of-0.29 (95% CI: −0.47 to-0.12). Our results underscore the need for extension programs to consider landholder typologies based on a combination of lived experience and demographics.

Socio-Economic Drivers of Agroforestry Practices in Kaiti Watershed, Makueni County, Kenya

Forests and trees are essential resources for sustainable provision of goods and services. However, trees have not only been depleted in reserved forests but also on agricultural lands. Several measures have been formulated to improve forest cover in Kenya and one of such strategies is agroforestry. This study aimed to examine agroforestry practices, tree density on farms and determine the relationship between socio-economic characteristics of households and tree density on farms in Kaiti watershed, Makueni County, Kenya. Quadrats were used to determine tree density and tree species diversity on farms while questionnaires were used to record socio-economic characteristics of households. Data files were prepared in the Microsoft Excel and SPSS version 20 software where descriptive and inferential statistics were used. The study found 8 agroforestry practices. The results of One-Way ANOVA for both Shannon Diversity Index and Simpsons’ Index of Diversity showed significant difference in species diversity in Kaiti watershed with p-value of 0.00023 and 0.00012, respectively. The mean of tree density was 104.5 trees per acre where 54% of farms had less than 40 trees per acre while 46% of farms had more than 40 trees per acre. Further, the study found significant relationship between socio-economic characteristics of households and tree density on farms. Household income was the most significant with p-value of 0.000. The study recommends sensitization of farmers about importance of trees and suitable tree species for growing in arid and semi-arid areas. Further, supply of certified seedlings close to farmers and at affordable prices would improve tree species diversity and tree density on farms. There is also need for private land ownership for households to promote sense of ownership of trees

Regulatory Intensity on Private Forestland and its Relationship with State Characteristics in the United States

Though the federal government impacts private forest management across the United States through legislation such as the Clean Water Act, state-level regulations applied to private forest landowners vary remarkably. Despite this diversity of policies, little is known about how variations in regulatory intensity (defined here as number of forestry regulations) correlate with state-level political and socioeconomic characteristics. In this study, we use a quantitative approach to explore the intensity of regulation on forest practices impacting private landowners across all 50 states. We quantified intensity by tabulating the number of regulated forest practices, then used a quasi-Poisson regression to estimate the relationship between regulatory intensity and state-level characteristics, including forestland ownership types, the economic importance of the forest industry, and measures of state environmentalism. Results indicated a positive association between regulatory intensity and the percent of private corporate land, environmental voting records of elected officials, and direct democracy. Foresters and landowners may learn from these relationships, consider how to influence different policies, and build or achieve greater levels of public trust. This study starts to help us explain why state-level forestry policies differ, not just how they differ.

Managing biodiversity on private land: Directions for collaboration through reconciliation ecology

SummaryNatural resource management in Australia is beset with ‘wicked’ problems: diminishing biodiversity, increasing soil erosion, spreading soil salinity and global climate change all impact private landholders across rural Australia. These problems highlight the complexity of biodiversity conservation, and the need for inclusive, respectful approaches that enable the participation of rural communities, private landholders and government agencies to effectively manage biodiversity on public and private lands. To address these problems, some landholders, rural communities and other stakeholders are seeking evidence‐based solutions through directly applicable research. In this paper, we identify current barriers to such research and highlight principles and processes for co‐designing and managing research based on mutual trust, respect, power sharing and acceptance of various knowledge systems, as embodied in the theory of reconciliation ecology. We suggest that a ‘community of practice’ approach could assist in establishing effective deliberative relations as a basis for active collaboration in natural resource management research to address these complex problems.

Private Landowner Willingness to Manage Their Land for Carbon Sequestration in New York State

Abstract Efforts to enhance carbon sequestration, including afforestation and reforestation, are critical strategies to meet the New York State (NYS) climate goals. In NYS, converting underutilized lands to mature forests can mitigate 4.9 million metric tons of CO2 annually, but 97% of suitable lands are privately owned. These mitigation figures do not consider landowner willingness to grow mature forest. Drawing on a survey of 979 NYS landowners, we explored interest in growing mature forest, potential barriers, and how they can be mitigated. Survey results indicate landowners seem reasonably interested (about one-third were “very interested”) in converting at least some of their land to mature forest for carbon sequestration. Respondents were most willing to convert land in young forest and shrubland and least willing to convert fallow fields, grassland, and agricultural land. Key barriers are related to inadequate labor and financial resources. Incentives focused on finances most increase willingness but only modestly so. Study Implications: Land availability for carbon sequestration can only be realistically understood if we consider private landowner willingness to grow forests. We observed relatively strong enthusiasm for converting young forest and shrubland. Land conversion proponents could tailor management and communication strategies to owners of these land types. Conversion is tied to overcoming negative attitudes about the potential conflict between current management and managing for carbon sequestration and providing resources for conversion. Landowner willingness was less when the agricultural footprint was greater. With much farmland in NYS, the amount of land available for reforestation may be lower than what landcover-based estimates suggest.

A machine learning approach to mapping suitable areas for forest vegetation in the eThekwini municipality

Driven by climate change, global forests are undergoing significant transformations in growth, ecology, and distribution, necessitating informed restoration and conservation strategies, particularly in the eThekwini Municipality where anthropogenic activities exacerbate these trends. Modelling current forest suitability (2023) utilized bioclimatic variables from the WorldClim dataset, alongside elevation and slope from the Shuttle Radar Topography Mission (SRTM) dataset, with remote sensing data acquired from Landsat 9 and Sentinel 2A. Future forest suitability (2021–2040) was projected also using bioclimatic variables from two Global Climate Models (GCMs) under four WorldClim Shared Socioeconomic Pathway (SSP)-based Representative Concentration Pathway (RCP) scenarios. Employing Random Forests (RF), Light Gradient Boosting (LightGBM), and Artificial Neural Networks (ANN), data processing was carried out using Google Earth Engine (GEE), QGIS and Python, with model accuracy primarily assessed using the Receiver Operating Characteristic (ROC) curves and the Area Under the ROC Curve (AUC). LightGBM demonstrated superior performance, achieving AUCs of 96.88% and 93.75% for current and future suitability mapping, respectively, with annual precipitation and vegetation changes identified as crucial variables. Currently, 30% of the municipality's land is deemed suitable, primarily concentrated in the central region. Future projections highlight the mountainous north-western region as most suitable, notably under the SSP370 scenario with a projected suitable area of 63%. Strategic recommendations include prioritizing reforestation efforts, engaging private landowners, exploring urban reforestation opportunities, and implementing continuous monitoring for adaptive management, thereby enhancing carbon sequestration, biodiversity conservation, and ecosystem resilience. This study provides valuable insights for informed decision-making in forest restoration and conservation, despite inherent uncertainties.

Judicial problem-solving: An evaluation of Grobler v Phillips and Others [2022] ZACC 32

The South African Constitutional Court was recently tasked with considering whether the "just and equitable" requirement of the Prevention of Illegal Eviction from and Unlawful Occupation of Land Act had been complied with when an eviction order was granted in the Somerset West Magistrates' Court. The Magistrates' Court found that the occupier unlawfully occupied the land and determined that the eviction was just and equitable in the circumstances. However, the High Court and the Supreme Court of Appeal held that the order of the Magistrates' Court could not be confirmed. With certain conditions attached, the Constitutional Court held that the eviction was just and equitable. These judgments are noteworthy as they highlight the in consistencies in the reasoning of the various courts that considered the same facts. The conclusion is that judicial reasoning which creates tension between the rights of private landowners and unlawful occupiers is not constructive. Ideally, evictions should be resolved by enforcing a potentially homeless person's right to access adequate housing by holding the state to account for its constitutional obligations.

Understanding landowner participation in the Conservation Reserve Program in the U.S. High Plains region

Understanding the array of financial and non-financial decision-making drivers of private landowners with vulnerable cropland for enrolling in the United States Department of Agriculture’s Conservation Reserve Program (CRP) is critical for the success and cost-effectiveness of agricultural policies that aim to create long-term agri-environmental security. Following the underpinnings of the Theory of Planned Behavior, we used Structural Equation Modeling to test the predictive validity and impacts of socio-cognitive variables: attitude, subjective norm, and perceived behavioral control, on landowners’ intent to enroll in CRP. We analyzed mailed survey data of landowners in the western High Plains of the United States, where irrigated agriculture is a major economic activity, and cropland consists of vulnerable wetlands that play a role in recharging the Ogallala Aquifer. Overall, landowners had a positive attitude towards the wetland conservation benefits of CRP enrollment and its benefits of preventing soil erosion and sedimentation. In addition, attitudes, subjective norms, and perceived behavior controls positively influenced landowners’ intentions to (re)enroll in CRP. Among the three predictors, subjective norms had the largest influence. Landowners’ understanding of CRP benefits in improving water quality and availability, and opinions from their neighbors and other landowners were the most significant measured variables affecting their intention to enroll. For enhanced outreach and long-term success, we suggest that policymakers recognize and respond to a range of non-financial motivations to better design programs that represent the conservation benefits of wetlands to leverage their willingness to participate. Furthermore, (re)enrollment acres could be enhanced by understanding local barriers related to landowners’ skills and knowledge and fostering collaboration and coordination among different federal conservation programs in the region.

The Impact of Land Property Right on China’s Rural-Urban Migration

After the founding of the People's Republic of China (PRC), private ownership of land in rural areas was abolished, and land was collectively owned. However, the Chinese government issued several policies to protect the rights and interests of farmers. The most representative of these are the Household Responsibility System (HRS) and the Rural Land Contracting Law (RLCL). In this paper, we study the impact of land management systems on population migration under market mechanisms (ability to rent land) and government mechanisms (land expropriation). And we used the Probit model to conduct regression analysis to verify the impact of land management systems on population migration and used robustness tests to ensure the stability and validity of the data. The results show that allowing land to be rented out has a positive effect on population migration, while land acquisition by the government has a negative effect on population migration. It proves that the Three Rights Division (TRD) system proposed and implemented by Chairman Xi Jinping, which forms ownership, contracting, and management rights to protect the rights of agricultural business entities, helps reduce urban-rural income inequality, helps upgrade the industrial structure of urban industries, and maintains economic expansion and increases China's long-term development potential.