BioResilience: Biodiversity resilience and ecosystem services in post-conflict socio-ecological systems in Colombia

生物复原力：哥伦比亚冲突后社会生态系统的生物多样性复原力和生态系统服务

基本信息

批准号：
NE/R017980/1
负责人：
Ted Feldpausch
金额：
$ 144.39万
依托单位：
UNIVERSITY OF EXETER
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2018
资助国家：
英国
起止时间：
2018 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=NE%2FR017980%2F1
关键词：
BioResilience Biodiversity resilience ecosystem services

项目摘要

This project will examine the long-term resilience of Colombian forest ecosystems to environmental and climatic changes and improve understanding of the future implications of forest degradation for Colombian society. We focus on forests that are not pristine in that they are used by local communities and are affected by logging and fire. This fills a research gap in understanding how forests, which may be regarded as biologically 'degraded', have undergone changes in biodiversity, in ecosystem services, and in how they participate in local and global cycles of carbon and energy. The project will achieve this by building a network of permanent ecological monitoring plots across gradients of forest environment and degradation to allow evaluation of biodiversity and measurement of processes such as current and historical effects of fire, and carbon storage and changing climate.This data will be integrated with socio-cultural research, focusing on existing cultures of biodiversity conservation. This understanding is essential if the scientific evidence is to be integrated into long-term management plans and policy, as forest degradation in Colombia is strongly associated with changes to the fabric of social life, including the effects of sustained conflict. Participatory research and interviews will also allow the views and perceptions of key stakeholders, especially local communities, to influence our research priorities and outputs from the beginning. This transdisciplinary work is critical to the implementation of international frameworks for biodiversity conservation aimed at reversing the effects of forest degradation. As Colombia emerges from decades of conflict, substantial changes are already occurring in land use, for example in the cultivation of areas that were previously inaccessible due to security issues. Our results will be scalable beyond the focus of Boyaca and Cundinamarca to the Colombian national scale and across the tropics. Tropical forest degradation affects an estimated 500 million ha globally and is an increasingly important driver in the global carbon cycle. However, in Colombia there is little information about change and recovery from degradation; over what time-scales changes occur; what are the major socio-environmental drivers of change; and to which baseline should forests be restored. Due to this high uncertainty, degradation is poorly quantified by climate policy such as Reduced Emissions from Deforestation and Degradation (REDD+) with the result that global CO2 emissions-cuts scenarios may not be sufficiently ambitious and local projects may not benefit from carbon payment schemes. We propose an innovative transdisciplinary methodology that will bring local knowledge, livelihood strategies and priorities into dialogue with multiple biophysical data sources, in order to evaluate change. We will supplement our existing plot data with new field, socio-environmental, and long-term ecological data to create a unique long-term network of degraded forest plots across Boyaca and Cundinamarca, covering variation in types and degrees of degradation (e.g. logged, logged+burned). We will, further, use these data with remote sensing approaches to evaluate the spatiotemporal variation in forests and assess drivers of change across the region to inform policy, conservation, and management. The project will provide critical information to improve climate and vegetation models that can help to assess whether forests and forest associated agriculture (e.g., coffee, cacao) will be resilient in the face of future climatic changes. This information will be used to inform policy recommendations and transformation pathways co-designed with a suite of stakeholders.In summary, this project can transform understanding of the controls on forest biodiversity and ecosystem service, determine ecosystem resilience to climate and disturbance, and support socio-environmental planning for sustainable resource use.

该项目将研究哥伦比亚森林生态系统对环境和气候变化的长期韧性，并提高人们对森林退化对哥伦比亚社会的未来影响的理解。我们专注于不是原始的森林，因为当地社区使用它们，并受伐木和火灾的影响。这填补了理解如何被视为生物学“降解”的森林如何经历了生物多样性，生态系统服务中的变化，以及它们如何参与碳和能源的本地和全球周期。该项目将通过建立跨森林环境梯度和退化的永久生态监测图的网络来实现这一目标，以评估生物多样性和衡量诸如火灾的当前和历史效果的过程，以及碳储存和气候变化。该数据将与社会文化研究集成，集中在生物多样性保护的现有文化上。如果要将科学证据纳入长期管理计划和政策，那么这种理解是必不可少的，因为哥伦比亚的森林退化与社会生活结构的变化密切相关，包括持续冲突的影响。参与性研究和访谈还将允许关键利益相关者，尤其是当地社区的观点和看法从一开始就影响我们的研究优先事项和成果。这项跨学科工作对于实施国际生物多样性保护框架至关重要，旨在扭转森林退化的影响。随着哥伦比亚数十年来的冲突出现，土地使用中已经发生了重大变化，例如，由于安全问题而培养以前无法访问的地区。我们的结果将超出Boyaca和Cundinamarca的焦点之外，这将是哥伦比亚国家规模以及整个热带地区的焦点。热带森林降解影响全球范围约5亿公顷，并且在全球碳周期中越来越重要。但是，在哥伦比亚，关于退化的变化和恢复的信息很少。在发生什么时间尺度的情况下发生了什么变化；什么是变革的主要社会环境驱动力？以及要恢复森林的基线。由于这种高度的不确定性，通过气候政策（例如减少森林砍伐和退化（REDD+）的排放量）的降级很差，结果是全球CO2排放措施削减的情况可能无法充分雄心勃勃，并且本地项目可能不会从碳支付方案中受益。我们提出了一种创新的跨学科方法，该方法将将当地知识，生计策略和优先事项带入与多个生物物理数据源的对话，以评估变化。我们将通过新的领域，社会环境和长期生态数据来补充现有的情节数据，以创建一个独特的长期网络，这些网络遍布Boyaca和Cundinamarca的降级森林图，涵盖了降解类型和程度的差异（例如，已记录，已记录+燃烧）。此外，我们将使用这些数据采用遥感方法来评估森林中的时空变化，并评估整个地区变化的驱动因素，以告知政策，保护和管理。该项目将提供关键信息，以改善气候和植被模型，以帮助评估面对未来气候变化的森林和森林相关农业（例如咖啡，可可）是否会弹性。该信息将用于为与一系列利益相关者共同设计的政策建议和转型途径提供信息。总而言之，该项目可以改变对森林生物多样性和生态系统服务的控制的理解，确定生态系统对气候和骚扰的弹性，并支持社会环境计划以实现可持续资源的可持续资源。

项目成果

期刊论文数量（10）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Species Distribution Modelling: Contrasting presence-only models with plot abundance data.

DOI：
10.1038/s41598-017-18927-1
发表时间：
2018-01-17
期刊：
Scientific reports
影响因子：
4.6
作者：
Gomes VHF;IJff SD;Raes N;Amaral IL;Salomão RP;de Souza Coelho L;de Almeida Matos FD;Castilho CV;de Andrade Lima Filho D;López DC;Guevara JE;Magnusson WE;Phillips OL;Wittmann F;de Jesus Veiga Carim M;Martins MP;Irume MV;Sabatier D;Molino JF;Bánki OS;da Silva Guimarães JR;Pitman NCA;Piedade MTF;Mendoza AM;Luize BG;Venticinque EM;de Leão Novo EMM;Vargas PN;Silva TSF;Manzatto AG;Terborgh J;Reis NFC;Montero JC;Casula KR;Marimon BS;Marimon BH;Coronado ENH;Feldpausch TR;Duque A;Zartman CE;Arboleda NC;Killeen TJ;Mostacedo B;Vasquez R;Schöngart J;Assis RL;Medeiros MB;Simon MF;Andrade A;Laurance WF;Camargo JL;Demarchi LO;Laurance SGW;de Sousa Farias E;Nascimento HEM;Revilla JDC;Quaresma A;Costa FRC;Vieira ICG;Cintra BBL;Castellanos H;Brienen R;Stevenson PR;Feitosa Y;Duivenvoorden JF;Aymard C GA;Mogollón HF;Targhetta N;Comiskey JA;Vicentini A;Lopes A;Damasco G;Dávila N;García-Villacorta R;Levis C;Schietti J;Souza P;Emilio T;Alonso A;Neill D;Dallmeier F;Ferreira LV;Araujo-Murakami A;Praia D;do Amaral DD;Carvalho FA;de Souza FC;Feeley K;Arroyo L;Pansonato MP;Gribel R;Villa B;Licona JC;Fine PVA;Cerón C;Baraloto C;Jimenez EM;Stropp J;Engel J;Silveira M;Mora MCP;Petronelli P;Maas P;Thomas-Caesar R;Henkel TW;Daly D;Paredes MR;Baker TR;Fuentes A;Peres CA;Chave J;Pena JLM;Dexter KG;Silman MR;Jørgensen PM;Pennington T;Di Fiore A;Valverde FC;Phillips JF;Rivas-Torres G;von Hildebrand P;van Andel TR;Ruschel AR;Prieto A;Rudas A;Hoffman B;Vela CIA;Barbosa EM;Zent EL;Gonzales GPG;Doza HPD;de Andrade Miranda IP;Guillaumet JL;Pinto LFM;de Matos Bonates LC;Silva N;Gómez RZ;Zent S;Gonzales T;Vos VA;Malhi Y;Oliveira AA;Cano A;Albuquerque BW;Vriesendorp C;Correa DF;Torre EV;van der Heijden G;Ramirez-Angulo H;Ramos JF;Young KR;Rocha M;Nascimento MT;Medina MNU;Tirado M;Wang O;Sierra R;Torres-Lezama A;Mendoza C;Ferreira C;Baider C;Villarroel D;Balslev H;Mesones I;Giraldo LEU;Casas LF;Reategui MAA;Linares-Palomino R;Zagt R;Cárdenas S;Farfan-Rios W;Sampaio AF;Pauletto D;Sandoval EHV;Arevalo FR;Huamantupa-Chuquimaco I;Garcia-Cabrera K;Hernandez L;Gamarra LV;Alexiades MN;Pansini S;Cuenca WP;Milliken W;Ricardo J;Lopez-Gonzalez G;Pos E;Ter Steege H
通讯作者：
Ter Steege H

Quantifying resilience of socio-ecological systems through dynamic Bayesian networks

通过动态贝叶斯网络量化社会生态系统的复原力