Quo vadis, smallholder forest landscape? An introduction to the LPB-RAP model.

The impacts of the Anthropocene on climate and biodiversity pose societal and ecological problems that may only be solved by ecosystem restoration. Local to regional actions are required, which need to consider the prevailing present and future conditions of a certain landscape extent. Modeling approaches can be of help to support management efforts and to provide advice to policy making. We present stage one of the LaForeT-PLUC-BE model (Landscape Forestry in the Tropics-PCRaster Land Use Change-Biogeographic & Economic model; in short: LPB) and its thematic expansion module RAP (Restoration Areas Potentials). LPB-RAP is a high-resolution pixel-based scenario tool that relies on a range of explicit land use types (LUTs) to describe various forest types and the environment. It simulates and analyzes future landscape configurations under consideration of climate, population and land use change long-term. Simulated Land Use Land Cover Change (LULCC) builds on dynamic, probabilistic modeling incorporating climatic and anthropogenic determinants as well as restriction parameters to depict a sub-national regional smallholder-dominated forest landscape. The model delivers results for contrasting scenario settings by simulating without and with potential Forest and Landscape Restoration (FLR) measures. FLR potentials are depicted by up to five RAP-LUTs. The model builds on user-defined scenario inputs, such as the Shared Socioeconomic Pathways (SSP) and Representative Concentration Pathways (RCP). Model application is here exemplified for the SSP2-RCP4.5 scenario in the time frame 2018-2100 on the hectare scale in annual resolution using Esmeraldas province, Ecuador, as a case study area. The LPB-RAP model is a novel, heuristic Spatial Decision Support System (SDSS) tool for smallholder-dominated forest landscapes, supporting near-time top-down planning measures with long-term bottom-up modeling. Its application should be followed up by FLR on-site investigations and stakeholder participation across all involved scales.

Leakage of biodiversity risks under the European Union Biodiversity Strategy 2030.

The European Union Biodiversity Strategy 2030 (EUBDS) aims to regain biodiversity through enhanced forest conservation and protection, which may lead to increased timber harvest in non-EU countries. We aimed to identify the potential leakage of biodiversity risks as induced by the EUBDS. We created an indicator framework that allows one to quantify vulnerability of forest biodiversity. The framework is based on 26 biodiversity indicators for which indicator values were publicly available. We weighted single indicator values with countrywise modeled data on changed timber production under EUBDS implementation. Nearly 80% of the indicators pointed to higher vulnerability in the affected non-EU countries. Roundwood production was transferred to countries with, on average, lower governance quality (p = 0.0001), political awareness (p = 0.548), forest coverage (p = 0.034), and biomass (p = 0.272) and with less sustainable forest management (p = 0.044 and p = 0.028). These countries had more natural habitats (p = 0.039) and intact forest landscapes (p = 0.0001) but higher risk of species extinction (p = 0.006) and less protected area (p = 0.0001) than the EU countries. Only a few indicators pointed to lower vulnerability and biodiversity risks outside the EU. Safeguards are needed to ensure that implementation of EUBDS does not cause harm to ecosystems elsewhere. The EU regulation on deforestation-free supply chains might have limited effects because the sustainable management of existing and even expanding forests is not well considered. Sustained roundwood production in the EU is needed to avoid placing more pressure on more vulnerable ecosystems elsewhere. Decreasing species and habitat indicator values nevertheless call for global conservation and protection schemes. The EUBDS helped pave the way to the Kunming-Montreal Biodiversity Framework. Yet, lower values for the indicators mean governance and biodiversity engagement in non-EU countries suggest that this global framework might not sufficiently prevent leakage of risks to biodiversity. Effective land-use planning is necessary to balance conservation schemes with roundwood production.

Evaluación de la fuga de riesgos para la biodiversidad bajo la Estrategia de la Unión Europea sobre Biodiversidad 2030 Resumen La Estrategia de la Unión Europea sobre Biodiversidad 2030 (EEUSBD) busca recuperar la biodiversidad por medio de mejoras en la conservación y protección forestal, lo que podría derivar en un incremento en la producción maderera en los países que no pertenecen a la UE. Buscamos identificar la posible fuga de riesgos para la biodiversidad inducida por la EEUSBD. Creamos un marco indicador que permita cuantificar la vulnerabilidad de la biodiversidad forestal. El marco se basa en 26 indicadores de biodiversidad cuyos valores están disponibles al público. Ponderamos los valores de los indicadores individuales con datos modelados por países sobre los cambios en la producción maderera tras la aplicación de la EEUSBD. Casi el 80% de los indicadores señalaron un aumento de la vulnerabilidad en los países afectados que no pertenecen a la UE. La extracción forestal se transfirió a países que en promedio tienen menor calidad de gobierno (p = 0.0001), conciencia política (p = 0.548), cobertura forestal (p = 0.034) y biomasa (p = 0.272) y con un manejo forestal menos sustentable (p = 0.044 y p = 0.028). Estos países tienen más hábitats naturales (p = 0.039) y paisajes forestales intactos (p = 0.0001) pero un riesgo más elevado de extinción de especies (p = 0.006) y un área menos protegida (p = 0.0001) que los países de la UE. Sólo unos cuantos indicadores señalaron una reducción en la vulnerabilidad y los riesgos para la biodiversidad fuera de la UE. Se requieren salvaguardas para asegurar que la implementación de la EEUSBD no dañe los ecosistemas en otras partes. La regulación de la UE sobre las cadenas de producción libres de deforestación podría tener efectos limitados pues no se considera correctamente el manejo sustentable del bosque existente o en expansión. También se requiere una extracción forestal sostenida en la UE para evitar una mayor presión sobre otros ecosistemas vulnerables en otras localidades. Sin embargo, la reducción en los valores de los indicadores de especies y hábitat exige esquemas mundiales de conservación y protección. La EEUSBD ayudó a trazar el camino para el Marco Mundial de Biodiversidad de Kunming-Montreal, sin embargo, los valores más bajos de los indicadores de gobernanza y compromiso con la biodiversidad en países no pertenecientes a la UE sugieren que este marco global podría no prevenir efectivamente las fugas de riesgos para la biodiversidad. Es necesario planear eficientemente el uso de suelo para balancear los esquemas de conservación con la extracción forestal.

监测区域保护的治理和管理有效性早已被视为实现国家和全球生物多样性目标和实现适应性管理的重要基础。然而, 保护行动者(包括受治理和管理系统影响的人们)在实施保护活动和计划, 以及收集和利用治理和管理数据为跨时空尺度的决策提供信息的过程中, 仍面临重重阻碍。本文探讨了当前和过去为评估治理和管理有效性所做的努力、行动者在使用产出数据时面临的阻碍, 以及为保护决策提供信息的洞见。为了帮助克服这些阻碍, 我们开发了Elinor这一免费开源监测工具, 该工具以诺贝尔奖获得者Elinor Ostrom的研究成果为基础, 旨在促进不同治理和管理类型区域跨空间尺度的环境治理和管理数据的收集、存储、共享、分析和使用。本文介绍了与保护科学家和实践者共同设计和试用Elinor的过程, 以及其评估和在线数据系统的主要组成部分。我们还考虑了Elinor如何对现有方法进行补充, 包括:在单一评估中高水平地处理不同类型区域保护的治理和管理问题, 为数据收集提供灵活的选择, 以及整合数据系统与评估来支持不同空间尺度的数据使用和共享, 包括对《全球生物多样性框架》的全球监测。虽然挑战持续存在, 但Elinor的开发过程和工具本身为克服系统性收集和使用治理与管理数据中面临的阻碍提供了切实的解决方案。随着Elinor被更广泛地采用, 它将在实现更有效、更包容和更长期的基于区域的保护中发挥宝贵作用。【翻译:胡怡思;审校:聂永刚】.

Reconciling policy instruments with drivers of deforestation and forest degradation: cross-scale analysis of stakeholder perceptions in tropical countries.

Cross-scale studies combining information on policy instruments and on drivers of deforestation and forest degradation are key to design and implement effective forest protection measures. We investigated the scale and country dependency of stakeholder perceptions about future threats to tropical forests (e.g. agriculture, logging, woodfuel) and preferred policy instruments (e.g. reforestation, protected areas, combat illegal logging), by interviewing 224 representatives of forest-related institutions. We conducted analysis of variance and principal component analysis for eighteen variables across three countries (Zambia, Ecuador and the Philippines) and four spatial levels (from international to local). We found that the overall alertness about commercial drivers and the confidence in policy instruments are significantly lower at subnational levels and also in Zambia. Stakeholder expectations about the most important drivers and the most effective policies in the coming decade follow regional narratives, suggesting that there are no one-size-fits-all solutions in international forest policy. However, we found an unexpected consensus across scales, indicating potential for collaboration between institutions operating at different geographical levels. Overall, agriculture remains the driver with the highest expected influence (43%), while a strong favoritism for reforestation and forest restoration (38%) suggests a paradigm shift from protected areas to a stronger focus on integrative approaches.

Scale and context dependency of deforestation drivers: Insights from spatial econometrics in the tropics.

A better understanding of deforestation drivers across countries and spatial scales is a precondition for designing efficient international policies and coherent land use planning strategies such as REDD+. However, it is so far unclear if the well-studied drivers of tropical deforestation behave similarly across nested subnational jurisdictions, which is crucial for efficient policy implementation. We selected three countries in Africa, America and Asia, which present very different tropical contexts. Making use of spatial econometrics and a multi-level approach, we conducted a set of regressions comprising 3,035 administrative units from the three countries at micro-level, plus 361 and 49 at meso- and macro-level, respectively. We included forest cover as dependent variable and seven physio-geographic and socioeconomic indicators of well-known drivers of deforestation as explanatory variables. With this, we could provide a first set of highly significant econometric models of pantropical deforestation that consider subnational units. We identified recurrent drivers across countries and scales, namely population pressure and the natural condition of land suitability for crop production. The impacts of demography on forest cover were strikingly strong across contexts, suggesting clear limitations of sectoral policy. Our findings also revealed scale and context dependencies, such as an increased heterogeneity at local scopes, with a higher and more diverse number of significant determinants of forest cover. Additionally, we detected stronger spatial interactions at smaller levels, providing empirical evidence that certain deforestation forces occur independently of the existing de jure governance boundaries. We demonstrated that neglecting spatial dependencies in this type of studies can lead to several misinterpretations. We therefore advocate, that the design and enforcement of policy instruments-such as REDD+-should start from common international entry points that ensure for coherent agricultural and demographic policies. In order to achieve a long-term impact on the ground, these policies need to have enough flexibility to be modified and adapted to specific national, regional or local conditions.

Correction: Climate change versus deforestation: Implications for tree species distribution in the dry forests of southern Ecuador.

[This corrects the article DOI: 10.1371/journal.pone.0190092.].

Climate change versus deforestation: Implications for tree species distribution in the dry forests of southern Ecuador.

Seasonally dry forests in the neotropics are heavily threatened by a combination of human disturbances and climate change; however, the severity of these threats is seldom contrasted. This study aims to quantify and compare the effects of deforestation and climate change on the natural spatial ranges of 17 characteristic tree species of southern Ecuador dry deciduous forests, which are heavily fragmented and support high levels of endemism as part of the Tumbesian ecoregion. We used 660 plant records to generate species distribution models and land-cover data to project species ranges for two time frames: a simulated deforestation scenario from 2008 to 2014 with native forest to anthropogenic land-use conversion, and an extreme climate change scenario (CCSM4.0, RCP 8.5) for 2050, which assumed zero change from human activities. To assess both potential threats, we compared the estimated annual rates of species loss (i.e., range shifts) affecting each species. Deforestation loss for all species averaged approximately 71 km2/year, while potential climate-attributed loss was almost 21 km2/year. Moreover, annual area loss rates due to deforestation were significantly higher than those attributed to climate-change (P < 0.01). However, projections into the future scenario show evidence of diverging displacement patterns, indicating the potential formation of novel ecosystems, which is consistent with other species assemblage predictions as result of climate change. Furthermore, we provide recommendations for management and conservation, prioritizing the most threatened species such as Albizia multiflora, Ceiba trichistandra, and Cochlospermum vitifolium.

Scaling up functional traits for ecosystem services with remote sensing: concepts and methods.

Ecosystem service-based management requires an accurate understanding of how human modification influences ecosystem processes and these relationships are most accurate when based on functional traits. Although trait variation is typically sampled at local scales, remote sensing methods can facilitate scaling up trait variation to regional scales needed for ecosystem service management. We review concepts and methods for scaling up plant and animal functional traits from local to regional spatial scales with the goal of assessing impacts of human modification on ecosystem processes and services. We focus our objectives on considerations and approaches for (1) conducting local plot-level sampling of trait variation and (2) scaling up trait variation to regional spatial scales using remotely sensed data. We show that sampling methods for scaling up traits need to account for the modification of trait variation due to land cover change and species introductions. Sampling intraspecific variation, stratification by land cover type or landscape context, or inference of traits from published sources may be necessary depending on the traits of interest. Passive and active remote sensing are useful for mapping plant phenological, chemical, and structural traits. Combining these methods can significantly improve their capacity for mapping plant trait variation. These methods can also be used to map landscape and vegetation structure in order to infer animal trait variation. Due to high context dependency, relationships between trait variation and remotely sensed data are not directly transferable across regions. We end our review with a brief synthesis of issues to consider and outlook for the development of these approaches. Research that relates typical functional trait metrics, such as the community-weighted mean, with remote sensing data and that relates variation in traits that cannot be remotely sensed to other proxies is needed. Our review narrows the gap between functional trait and remote sensing methods for ecosystem service management.

Afforestation or intense pasturing improve the ecological and economic value of abandoned tropical farmlands.

Increasing demands for livelihood resources in tropical rural areas have led to progressive clearing of biodiverse natural forests. Restoration of abandoned farmlands could counter this process. However, as aims and modes of restoration differ in their ecological and socio-economic value, the assessment of achievable ecosystem functions and benefits requires holistic investigation. Here we combine the results from multidisciplinary research for a unique assessment based on a normalization of 23 ecological, economic and social indicators for four restoration options in the tropical Andes of Ecuador. A comparison of the outcomes among afforestation with native alder or exotic pine, pasture restoration with either low-input or intense management and the abandoned status quo shows that both variants of afforestation and intense pasture use improve the ecological value, but low-input pasture does not. Economic indicators favour either afforestation or intense pasturing. Both Mestizo and indigenous Saraguro settlers are more inclined to opt for afforestation.